Summary of your 'study carrel' ============================== This is a summary of your Distant Reader 'study carrel'. The Distant Reader harvested & cached your content into a collection/corpus. It then applied sets of natural language processing and text mining against the collection. The results of this process was reduced to a database file -- a 'study carrel'. The study carrel can then be queried, thus bringing light specific characteristics for your collection. These characteristics can help you summarize the collection as well as enumerate things you might want to investigate more closely. Eric Lease Morgan May 27, 2019 Number of items in the collection; 'How big is my corpus?' ---------------------------------------------------------- 893 Average length of all items measured in words; "More or less, how big is each item?" ------------------------------------------------------------------------------------ 6721 Average readability score of all items (0 = difficult; 100 = easy) ------------------------------------------------------------------ 63 Top 50 statistically significant keywords; "What is my collection about?" ------------------------------------------------------------------------- 159 system 58 expert 34 knowledge 31 Systems 31 PMC 26 NTRS 24 Journal 21 table 21 rule 20 model 19 fuzzy 19 Fig 18 web 17 datum 17 base 15 feature 14 user 14 agent 14 Applications 12 problem 11 decision 11 IEEE 11 Feed 11 Expert 10 method 10 cluster 10 Vol 10 University 10 SVM 10 Management 10 Intelligence 10 Engineering 9 ontology 9 image 9 design 9 customer 9 case 9 CBR 8 test 8 student 8 set 8 algorithm 7 time 7 service 7 process 7 information 7 Research 7 Publishing 7 Proceedings 7 Figure Top 50 lemmatized nouns; "What is discussed?" --------------------------------------------- 33276 system 15656 expert 13310 model 12858 knowledge 12639 datum 12488 rule 12330 % 12115 value 11386 method 11362 user 10651 case 10490 problem 10088 time 10029 set 9929 result 9694 o 9469 number 9219 information 8792 t 8636 � 8405 process 8316 approach 7698 feature 7643 algorithm 7056 p 7027 r 7023 decision 6880 e 6844 table 6661 example 6257 level 5952 function 5836 i 5552 analysis 5452 c 5424 a 5298 application 5296 term 5221 network 5219 performance 5210 domain 5207 n 4913 section 4905 solution 4887 l 4872 work 4762 order 4504 test 4503 type 4458 h Top 50 proper nouns; "What are the names of persons or places?" -------------------------------------------------------------- 17987 � 13756 _ 12830 e 9872 al 6754 J. 6356 et 6271 s 6041 m 6040 t 5965 M. 5525 . 4830 Systems 4543 f 4376 S. 4170 r 4130 pp 4116 n 4089 u 3929 R. 3916 Journal 3879 d 3798 o 3610 Applications 3483 Expert 3455 D. 3322 c 3234 A. 3232 C. 3170 y 3021 P. 3013 h 2996 Fig 2957 University 2811 International 2776 H. 2772 L. 2695 j 2608 C 2595 w 2549 S 2519 E. 2448 Research 2447 − 2434 G. 2388 IEEE 2342 b 2266 B. 2263 M 2136 Figure 2134 A Top 50 personal pronouns nouns; "To whom are things referred?" ------------------------------------------------------------- 19955 it 19749 we 8088 i 5834 they 2646 them 2071 he 1138 us 916 you 623 one 512 itself 380 she 238 her 236 themselves 186 me 164 him 93 u 79 s 72 � 67 em 42 n 42 himself 37 de- 30 ’s 30 α 27 λ 27 y 27 o 26 mine 24 yÞ 21 f 20 p 16 ng 15 ours 14 ui 14 ourselves 14 in- 12 yourself 12 ti 12 dj 11 fi 10 its 10 ay 9 herself 8 yt 8 yj 8 w 8 vl 8 h.-c. 8 > 7 Π Top 50 lemmatized verbs; "What do things do?" --------------------------------------------- 176285 be 27753 use 23822 have 16213 base 9715 � 8103 show 7366 do 6803 give 6769 propose 6501 make 6036 provide 5653 follow 5160 consider 5017 represent 4866 include 4764 find 4383 develop 4363 obtain 4268 describe 4253 define 4122 present 4109 apply 3759 select 3698 take 3563 perform 3554 generate 3551 see 3518 require 3102 set 3009 identify 2902 compare 2803 learn 2789 contain 2758 evaluate 2752 allow 2675 solve 2662 determine 2602 need 2574 know 2448 improve 2407 accord 2154 call 2100 relate 2076 calculate 2075 create 2059 exist 2047 build 1993 increase 1919 produce 1897 choose Top 50 lemmatized adjectives and adverbs; "How are things described?" --------------------------------------------------------------------- 15922 not 7972 different 7846 more 7798 other 7568 then 7415 also 6707 such 6567 fuzzy 5970 - 5522 new 5518 only 5393 first 5281 well 5247 high 4331 most 4284 good 4245 � 4171 however 4104 same 3547 low 3388 large 3318 possible 3186 many 3094 very 2844 available 2777 real 2776 specific 2648 important 2639 several 2585 thus 2566 therefore 2505 similar 2502 as 2356 second 2344 human 2239 out 2232 small 2202 so 2201 non 2167 e.g. 2161 general 2115 main 2113 neural 2094 average 1937 particular 1926 current 1881 single 1852 further 1763 less 1743 simple Top 50 lemmatized superlative adjectives; "How are things described to the extreme?" ------------------------------------------------------------------------- 2690 good 1364 most 790 near 722 least 625 high 414 Most 310 large 262 bad 260 low 189 small 153 close 110 short 104 late 100 simple 98 great 46 Least 44 early 38 big 33 footr 32 long 32 fast 24 strong 23 weak 22 old 18 easy 17 farth 16 ter 16 fit 14 new 14 fine 11 topmost 11 slow 11 heavy 11 e 10 poor 10 pb 9 safe 9 hard 9 few 8 cheap 7 quick 7 gb 7 deep 6 steep 5 gbestpb 5 furth 5 clear 5 WePS-3 4 ψij(pui 4 sb Top 50 lemmatized superlative adverbs; "How do things do to the extreme?" ------------------------------------------------------------------------ 2967 most 356 least 291 well 11 highest 6 ntest 4 shortest 3 worst 3 topmost 3 near 2 m1-model 2 long 2 fast 1 yr 1 lowest 1 if(accuracy(icur_best 1 gest 1 furthest 1 footrest 1 elb0w5 1 accuracy(ibest Top 50 Internet domains; "What Webbed places are alluded to in this corpus?" ---------------------------------------------------------------------------- 3650 refhub.elsevier.com 1101 dx.doi.org 738 doi.org 242 www.elsevier.com 226 www.hindawi.com 189 www.sciencedirect.com 188 dblp.uni-trier.de 178 creativecommons.org 134 www.ncbi.nlm.nih.gov 93 crossmark.crossref.org 79 orcid.org 75 isiarticles.com 73 www.w3.org 47 arxiv.org 46 www.cambridge.org 40 ijsrcseit.com 39 www.biomedcentral.com 38 jutq.utq.edu.iq 37 en.wikipedia.org 37 cran.r-project.org 36 github.com 32 www.mdpi.com 31 europepmc.org 29 okina.univ-angers.fr 28 icaro.morfeo-project.org 27 hdl.handle.net 26 www.tandfonline.com 26 archive.ics.uci.edu 24 www.ijsrcseit.com 22 ieeexplore.ieee.org 22 dl.acm.org 21 link.springer.com 17 ees.elsevier.com 17 doi.acm.org 17 cs.anu.edu.au 16 www.sciencedirect.com 16 www 15 www.amazon.com 12 www.doi.org 12 wordnet.princeton.edu 12 lists.debian.org 12 hal.archives-ouvertes.fr 12 esforrpd2.blog.unmul.ac.id 11 www.idc.ac.il 11 f1000research.com 11 eprints.whiterose.ac.uk 11 ahajournals.org 11 acad.cnki.net 10 www.portofhelsinki.fi 10 www-iri.upc.es Top 50 URLs; "What is hyperlinked from this corpus?" ---------------------------------------------------- 163 http://www.hindawi.com 158 http://www.elsevier.com/locate/eswa 101 http://www.sciencedirect.com/science/journal/09574174 59 http://creativecommons.org/licenses/by-nc-nd/4.0/ 50 http://creativecommons.org/licenses/by/4.0/ 42 http://doi.org/10.1371/journal.pone.0190386 38 http://www.cambridge.org/core 38 http://jutq.utq.edu.iq/index.php/main 38 http://doi.org/10.1371/journal.pone.0218310 31 http://europepmc.org/abstract/MED/ 31 http://dx.doi.org/10.1016/j.eswa.2013.09.044 28 http://icaro.morfeo-project.org 24 http://www.ijsrcseit.com/ 24 http://dx.doi.org/10.1016/j.eswa.2010.08.052 24 http://creativecommons.org/licenses/by-nc-nd/3.0/ 23 http://ijsrcseit.com 21 http://www.elsevier.com/copyright 18 http://dx.doi.org/10.1016/j.eswa.2013.02.030 16 http://www.ScienceDirect.com 16 http://www 16 http://dblp.uni-trier.de/db/conf/semweb/ 12 http://www.biomedcentral.com/1472-6947/6/39 12 http://doi.org/10.1101/820076doi: 12 http://doi.org/10.1101/820076 11 http://www.biomedcentral.com/1471-2105/10/284 11 http://ahajournals.org 10 http://ijsrcseit.com/ 10 http://doi.org/10.12688/f1000research.16657.1 10 http://doi.org/10.1101/845727doi: 10 http://doi.org/10.1101/845727 9 http://refhub.elsevier.com/S0957-4174(17)30303-2/sbref0021 9 http://refhub.elsevier.com/S0957-4174(15)00779-4/sbref0005 9 http://dx.doi.org/10.6035/ForumRecerca.2017.22.26 9 http://doi.org/ 9 http://doi 8 http://www.sciencedirect.com/science/article/ 8 http://www.cambridge.org/core/terms 8 http://refhub.elsevier.com/S0957-4174(17)30095-7/sbref0043 8 http://refhub.elsevier.com/S0957-4174(17)30095-7/sbref0017 8 http://refhub.elsevier.com/S0957-4174(16)00052-X/sbref0021 8 http://refhub.elsevier.com/S0957-4174(15)00779-4/sbref0021 8 http://refhub.elsevier.com/S0957-4174(15)00779-4/sbref0019 8 http://refhub.elsevier.com/S0957-4174(15)00779-4/sbref0018 8 http://refhub.elsevier.com/S0957-4174(15)00779-4/sbref0017 8 http://refhub.elsevier.com/S0957-4174(15)00779-4/sbref0016 8 http://refhub.elsevier.com/S0957-4174(15)00779-4/sbref0012 8 http://refhub.elsevier.com/S0957-4174(15)00779-4/sbref0011 8 http://refhub.elsevier.com/S0957-4174(15)00779-4/sbref0010 8 http://refhub.elsevier.com/S0957-4174(15)00779-4/sbref0008 8 http://refhub.elsevier.com/S0957-4174(15)00779-4/sbref0004 Top 50 email addresses; "Who are you gonna call?" ------------------------------------------------- 19 journal@jutq.utq.edu.iq 11 eprints@whiterose.ac.uk 8 sstseng@cis.nctu.edu.tw 8 arivas@dia.uned.es 7 usir@salford.ac.uk 7 dirk.vandenpoel@ugent.be 5 pcortez@dsi.uminho.pt 5 olivier.georgeon@liris.cnrs.fr 4 publications@city.ac.uk 4 openaccess@ed.ac.uk 4 mcwu@cc.nctu.edu.tw 4 jia.zhai1982@gmail.com 4 jdwu@cc.ncue.edu.tw 4 j.zhai@salford.ac.uk 4 horng@db.csie.ncu.edu.tw 4 georgex@unipi.gr 4 editor@tjprc.org 4 chen3362@ms15.hinet.net 4 ch655244@yahoo.com.tw 4 bataineh.moe@gmail.com 4 alessio.ishizaka@port.ac.uk 3 vila@decsai.ugr 3 thaeir_alsamman@yahoo.com 3 support@elsevier.com 3 sto@iem.pw.edu.pl 3 sstseng@cis.nctu 3 sophia.tsoka@kcl.ac.uk 3 rmtorres@us.es 3 researchsupport@kent.ac.uk 3 rafea@aucegypt.edu 3 michael@mail.tku.edu.tw 3 mfs@dsi.uminho.pt 3 mdolores@aut.uah.es 3 mdelgado@ugr.es 3 lingjian.yang.10@ucl.ac.uk 3 jgomez@decsai.ugr.es 3 ivan.maric@irb.hr 3 h-sadoghi@um.ac.ir 3 ghtzeng@cc.nctu.edu.tw 3 fbobillo@decsai.ugr.es 3 e2667@ms23.hinet.net 3 dirk.thorleuchter@int.fraunhofer.de 3 cornelia.muntean@feaa.uvt.ro 3 dirk.thorleuchter@int.fraunhofer.de 2 zhangg@it.uts.edu.au 2 zcs820@yahoo.com.cn 2 zandi@iust.ac.ir 2 zalinda@ftsm.ukm.my 2 zahir.irani@brunel.ac.uk 2 yzzhan@ujs.edu.cn Top 50 positive assertions; "What sentences are in the shape of noun-verb-noun?" ------------------------------------------------------------------------------- 8192 � � � 552 � � % 449 � � µ 268 % � � 139 � � ¼ 104 � � * 98 � � ~ 80 rule based expert 52 � � ½ 52 � � ¾ 48 % � ¼ 48 � � j 46 % � % 46 system is able 45 � � not 44 r � � 43 % � ~ 41 � � r 39 � � ® 36 knowledge based system 36 � � _ 35 � � b 33 system does not 32 knowledge based systems 32 p � � 31 � � £ 30 � � s 28 n � � 28 � � p 27 � � %µ 26 values were greater 25 methods do not 25 user does not 25 � � ¸ 25 � � Ï2 22 data are available 22 s � � 22 system is capable 22 � � þ 21 data set d 21 information is not 21 � � m 20 case based reasoning 20 model is not 20 r � ≤ 19 _ � � 19 information is available 19 knowledge is not 19 results are not 19 system is not Top 50 negative assertions; "What sentences are in the shape of noun-verb-no|not-noun?" --------------------------------------------------------------------------------------- 8 time is not zero 7 information is not available 7 s is not possible 7 � � not � 6 r is not possible 3 experts are not available 3 knowledge is not always 3 p is not general 3 system is not able 3 users are not good 2 algorithm is not optimal 2 algorithm is not widely 2 data are not available 2 data is not physically 2 data were not available 2 e is no r 2 expert is not available 2 knowledge does not easily 2 knowledge is not available 2 knowledge is not necessarily 2 method is not rugged 2 methods are not necessarily 2 model considers not only 2 problems is not trivial 2 results are not significant 2 rule has no error 2 rules are not always 2 rules do not necessarily 2 s are not possible 2 set is not empty 2 system is no longer 2 system was not significantly 2 systems do not fully 2 user is not eligible 2 user shows no more 2 users are not aware 2 users are not well 2 users is not only 2 values are not numbers 2 values is not necessary 1 % using no more 1 algorithm consider not only 1 algorithm does not just 1 algorithm does not necessarily 1 algorithm does not only 1 algorithm has not always 1 algorithm is not able 1 algorithm is not always 1 algorithm is not available 1 algorithm is not completely Sizes of items; "Measures in words, how big is each item?" ---------------------------------------------------------- 177752 work_u2ztrkxxu5cspbri4ek4xp45fm 69799 work_hmonw5eaebaelbnpnt6dmeypoy 42807 work_t2jhwiqqivhbpcpzotx2ebh3xm 32504 work_jl47oly4sjbc5igyllnr5wmgli 30112 work_jheoydk3s5butm6zfif4wf6wnm 25457 work_ifb2hwodtjhtbo6tms3tkioipy 24420 work_rbflc7gdy5hy5jjvjpxbihcnxm 23764 work_bdo3y2u4gfdl3hj4ntxfwmmd4u 23600 work_4274vtpvknednjpjobxit4chnm 23012 work_23cetdgvhrdpvdevpor2azsreu 22712 work_pxrj4u4bkbdaxngyw7p7vedjne 20999 work_65i36k6w6rbvlbd47zygz7n6ae 19631 work_rcxb7tpvibdetk4dirtapg2vjy 19435 work_wfkrssjq2beuzmkovhxwnymdae 19359 work_mruwvk4m2rafjnvrt6lc63k3fq 19223 work_mvrzshdomjex5cflk6oubgvvvy 19173 work_vvejlao4xbbttpydvf3tbow73m 18981 work_pkt6ad356rbahib4cigxolwqrm 18804 work_bzykyau3grhq7dsab54mppmy5e 18778 work_5rzbrjfjkvdyhidl7nbgqjrpi4 18393 work_ms2ruztupvforj5fnbvzf7tofy 18068 work_tnbeadapefeuvbnzlzj3nzxv5a 17733 work_l6q4o7kqwnh3jmqca4gmv4sqxm 17429 work_c4lxulprjva3tf3xvg4q34lx3i 17119 work_ktzd2efr4jbidabo2vk3lxcvmq 16769 work_qakoronh2rgybldob74jhpfznu 16534 work_3rmubmxsfbbjlk6w2bf2tmt7nm 16299 work_okkzldu7ozgi5bflm7hthf7sgq 16071 work_4jkq3wam25a6lnvvdjedgrfube 16003 work_3mu6jnosszdnhdltvokblqh2oy 15538 work_ul32nhcuong5tjoo2sljvdc5nm 15468 work_om3lmqvjone6fcsyruwnlpw3hi 15313 work_p4nyzm7uz5fwrbumfajdtyk34i 15182 work_ho4p6lmanrfsljzmvdcbb52o4q 15085 work_jt4hkqjjjvf6rll3zjt3z4qbwi 15064 work_vi52ffbwhzf2zmdwj2o35h7h5m 14889 work_y7yspggtcnehnjrulleogza6ei 14747 work_lguabr33l5h7jekr56bsun2o64 14688 work_ybizrrzcsreqdjy7yzi7k22t6a 14594 work_xrosz555njd4jf3375ostnmdmm 14572 work_asrprf5bwfgjxlzwixdqpn27v4 14571 work_w7ccj62ltvfrjcam7jnefiuiri 14263 work_xt5lrac64vgajg4ssffkqsiucu 14252 work_663xupkdkzhanoy2e2fbo7p2jm 14233 work_xao5rk2nyrdc3o6b4lxdaao2aa 14220 work_izxzr6jh5vbxtl5aqnkwkam7we 14208 work_4vomlmdu4rhxdouiiiukxac2fy 14068 work_ztiq4knfm5ghjjcotevkkrlhga 14067 work_7jfzxcfh3bbclafu6up5tw3bmi 13989 work_tmca7pcswbd2zjvxcp6yg3azbi 13916 work_yvsfdafcgjarxhwee5mhpls4xq 13861 work_27g256ct6zf4fiivjunlac54um 13789 work_6lnqupedgjfqpc2rrrox7k5aaa 13746 work_mp2xxbjyqbgjddrwfxas6epqkq 13737 work_ldcd3yq7wverxmugytokxwwahe 13720 work_qrnasltopndvzmirwb3wqlfrda 13701 work_fnploejenbc2raktl46esxm44i 13648 work_fhuo7yphnzdujox5ixsw6b6lfa 13593 work_xq42u5f77na3pps3pym35robem 13573 work_64wagicu2ncslhlep6cmcmqhly 13527 work_z3zntoflhnd7phrocdyphm5at4 13527 work_e77yzhiezbgvzom6xvhg4tcdui 13472 work_5i2amsy5abfjnectpyizxhpmfy 13466 work_i5reu7kixjhdzcgs5bjshjzdai 13464 work_6xmmkpbyhjeerly5wooinxk3qa 13293 work_oqlymuuk6ja3lfpzblmme72kyy 13288 work_6vaed5kxqndbnfdfz5mbn7dsqm 13224 work_y77b4oflprad3eump2g5d5kryu 13193 work_tglq5qrusrcgjpwp4hvipqaeqa 13175 work_w7p2v35cpfenzaihw4nyphoxeq 13024 work_minrsa6e45eqtd5mwmrhjxf2hq 12981 work_bcpbwz3m2rh6bibnz7jai32lf4 12956 work_qqbfeohubbcqpahq4btcqwzt6e 12946 work_jzz5hvqpavfevdzghtewyapvni 12912 work_3akpcw3alvfzpbwlc3yzkadwpa 12756 work_gbi3ah5ymfdatpixrkkboizbqy 12713 work_ogq5r3sr6vb2dkhfp4speay7dq 12619 work_pvp64m4phrctlisjvtkchdhwju 12506 work_sfc3mik6snaw7buodbobenrsra 12281 work_zv5hinl2kzfuzlpf37agkaqtpq 12142 work_kxlz6lnai5bdbllarzrckrpaxa 12107 work_rif2akzab5gxffmzav5mcf5uva 12089 work_xwpv56g5gbe5hg3awggpwntadi 11927 work_rqoiakpfrbfbvc3r66rojuqd7q 11831 work_ln3yl3e2jjezbhzw2ekrdhgmmq 11751 work_o226xx3labcrbpre5mmuxnyeuu 11733 work_nqoovjor2rg7nmedtve6uw7bzy 11729 work_3g2qgpmfbnbqxfqrqvxk4quel4 11704 work_sgdejolmezfsfeseqbroy6peum 11674 work_noodcfgro5bcdknzut2al2wpc4 11668 work_wkfnnwuk6zhkxiy32dhnltvsfq 11659 work_twk2q7jfhngdtbzulmfas2oc7e 11614 work_zn7cbbam6zdfhfdeppujpl6f7u 11559 work_qazchnt2ebbbzg5332xif7e2t4 11530 work_45zfpdeutjfite47n32bqpobra 11529 work_5xv3i4veezb63kw7jpg2ahioku 11511 work_wy64qplxp5ft7jjtc2f36mk7au 11480 work_hxud3ocdqbgm7meeqxuk5h3hbq 11473 work_chipkkw5ijhnbi3ca6hpz7jozm 11467 work_zzh2hcwt2jgj3fodyu3vqh6zje 11466 work_mgqmivrbtnge3fttkeec5zdg24 11460 work_gda2m7oyejgx3jjbieakuk7mru 11448 work_i5tjkbben5e77ie5lwxz5vp5qe 11422 work_6sosbe2fdngyjcsfrbqjs3qvwy 11417 work_qv6jntxxevamlahgaiuxsxufbu 11395 work_qgmytu4atfhsvf6zpxcsivfqni 11395 work_rfdvns3gd5djdmkbwoodu767ku 11377 work_c5ljkxxrgja5rfhpbw3y2kkwnq 11347 work_3vo6ohjwjzcebnzidwoautzbu4 11316 work_5kks6ebnnbfdhpdqj4inpbgo6e 11290 work_eyrgzf5g7neibnpi4o2sfe6bii 11221 work_bxbstu7d2zbghpbu2ajkkwvcmy 11120 work_xfej6opxpfcevg7z7op52o6oti 11113 work_dodmms5bzrctzhd32bmag6ieti 11081 work_4fmqd4q7pfb7nclr5zelrvwsja 11075 work_ucw2yjhblnglzeroqfl72wyxny 11067 work_wg7nc7fzqfaxpc5udxvt3slr7y 11031 work_k3tmdyj3vzekrjwk53daausqkm 11026 work_i2b3r7sbnbgvdmmp377zahzrra 10952 work_iyfr52ipozd5lnyrow2embtrve 10925 work_yjmptpq6ezd33c2m2i7y2tkhke 10921 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work_dywup6up6rc7tp7op74xhhlw4q -15.0 work_s6wqhsfem5an7fmdkfetereenu -15.0 work_mgmhrb4wzjephif7zdvx6xha3m work_yp2pscg5uzfkznskjeybku2cly work_g4xr6mfzkbcorko2azocjqkic4 work_4l5buqbcubck7bnoj55k4ib7xu work_3w545bukofdphbrifcp74hjary work_c3h37yn7zzcvxm3hom4avwnuza work_uhgw47pq3fdspbt4y27sfjkela work_lfs4kidgmbhqnnedxcv2k6o6m4 work_ydnlz7hxyjcpjfs7ldp3sy4upq work_u6foxozv3bft5ee3mg2kjkj444 work_4h5iqpocibetdhutakf4nxpl3q work_bt7pyfijobbtbm4uwb77i2hgfm work_f7v4i2gs45es7gspubjuwpo2vq work_xmzjxygacbc4ppd4fjfebxzdca work_rh3fbbbqgrfnbiovibtnrvibyy work_eqqnsswvlng5fdijjwfahbe72q work_gyqaanb5hjhwxh4biznmhtgdie work_2cco4fotnjcvhnezvtxivsrouq work_4lud4hjutngljgcvc6bm2ewc2e Item summaries; "In a narrative form, how can each item be abstracted?" ----------------------------------------------------------------------- work_23cetdgvhrdpvdevpor2azsreu The different categories identified cover the most prominent fields of interest in ontology matching. This category includes the publications devoted to surveying and reviewing the field of ontology matching. This category includes those articles introducing new matching systems and algorithms, and also those to describing new or enhanced similarity measures and to analyzing the building blocks of the ontology matching algorithms, while – Content-based: these techniques focus on the internal information coming from the ontologies to be matched. algorithm that derives an alignment from the lexical and structural information of two input ontologies by computing a similarity measure between them. � GLUE (Doan, Madhavan, Domingos, & Halevy, 2004) is a semiautomatic ontology matching system that uses a set of combined machine learning techniques to output the alignment � SOBOM (Xu, Wang, Cheng, & Zang, 2010a) is an ontology matching algorithm that uses as start point a set of anchors provided work_27g256ct6zf4fiivjunlac54um Keywords: expert systems, decision making, diagnosis, probability theory, decision In contrast, normative expert systems use decision theory to manage uncertainty. Then, we describe experiments with these non-decisiontheoretic approaches as well as theoretical analyses that directed us to return to a methodology based in probability and decision theory. Both an early version and the latest version of Pathfinder employ decision-theoretic computations to assist pathologists with diagnosis. the use of probability and decision theory for representing and reasoning with expert knowledge in computer-based reasoning systems. Let us now consider how an expert system can use decision theory to recommend features The first medical expert systems employed computations based in probability theory. At this time, probability theory was low on our list as a method for combining evidence to build a differential diagnosis, because of the limitations of the simple-Bayes model. work_27mb4lyoerh5zhj32bxqmm23su The object of this lecture is to describe common sense abilities and the problems that require them. Common sense facts and methods are only very partially understood today, and extending this understanding is the key problem facing artificial MYCIN''s ontology includes bacteria, symptoms, tests, possible sites of infection, antibiotics and treatments. areas of common sense knowledge and reasoning ability and also apply the QUESTION: You said the programs need common sense, but that''s like So if the programs indeed need common sense, sense in a slightly different way, and I want to use the MYCIN program as it would have to be the patient because if the program didn''t use common If only the program has common sense run the program also will not use the common sense. common sense, and I would say that the answer is not clear in the MYCIN that many other kinds of programs require common sense to be useful at all. work_2cco4fotnjcvhnezvtxivsrouq work_2eewznxmxbgbfbsg2ousndspha Self-Integrating Knowledge-Based Brain Tumor Diagnostic Abstract--In this paper, we present a self-integrating knowledge-based expert system f o r brain tumor During knowlege building, an automatic knowledge-integration process, based on Darwin''s theory o f natural selection, integrates knowledge derived from knowledge-acquisition tools and machinelearning methods to construct an initial knowledge base, thus eliminating a major bottleneck in engine exploits rules in the knowledge base to help diagnosticians determine brain tumor etiologies records, to construct a complete, consistent and unambiguous knowledge base (Baral, 1991; Gragun, 1987). the machine-learning module or the knowlege-acquisition module to build a prototype knowledge base. and objective knowledge base for brain tumor diagnosis, integrated brain-tumor diagnostic knowledge base from Since rule sets generated from different knowledge knowledge base for brain tumor diagnosis. rule 1: I F Appearance_of_Enhancement = "Homogeneous" and Location = "Brain Parenchyma, temporal" T H E N Pathology is knowledge-based brain tumor diagnostic system. work_2f5sazhjizewblsxvxrtlowiyu sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 221003657 (wp-p1m-39.ebi.ac.uk) Time: 2021/04/06 03:05:50 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_2jjz24x67jeijo4fjg7ba55s2q A Web-enabled hybrid approach to strategic marketing planning: Group Delphi+a Web-based expert system A Web-enabled hybrid approach to strategic marketing planning: Group DelphiCa Web-based expert system A Web-enabled hybrid approach to strategic marketing planning is established in this paper. Delphi technique with a Web-based expert system, called WebStra (developed by the author), to support some key stages of the strategic computerised planning models and knowledge via the Internet, intranets or extranets, which allows widespread access by authorised users Keywords: Strategic planning; Marketing strategy; Decision support system; Web-based expert system; Group Delphi; World Wide Web support of strategic marketing planning have never been the process of strategic marketing planning. barriers and make it easier for users in different geographical locations to access the decision support models and tools technique and links strategic marketing planning with Strategic marketing planning presents challenges to marketing strategies with the development of e-commerce strategies; and to combine Web-based intelligent work_2jzz4ykqmfbbxhw6m4crviv56i Intelligent Programm Support for Dynamic Integrated Expert Systems Construction intelligent system architectures were emerged, in particular integrated expert systems (IES), used and constantly develops: about 30 applied prototypes IES for diagnosis, control, design, planning and tutoring problems were constructed (detailed description can be found in (experts, database, text) is used to gain knowledge; generalized knowledge representation language designed for building models of problem areas in dynamic IES allows to represent temporal knowledge, based on a modified interval Allen logic [1] and time control logic, together with temporal solver designed for dynamic tasks); in the context of enhanced functionality and principles of the components IES deep integration provides the possibility of implementing simulation parameters initialized by intelligent planner at SDP inclusion in the development plan of a IES with intelligent software environment for two dynamic IES prototypes ("Management of medIntelligent Programm Support Rybina, Rybin, Blokhin and Parondzhanov work_2kjbpm2btjfo5fuxi67ouhrveu using KADS or CommonKADS to develop a knowledge based system� Guid� KADS and CommonKADS in order to produce knowledge based guidance �� Deciding on the most appropriate tool for implementing this knowledge based based techniques� the rst stage of KADS analysis is to identify the type of task KADS� generic inference structure for assessment tasks �Figure �� recommends Figure �� Generic inference structure for assessment tasks set of knowledge based tasks �cf� �Tansley � Hayball� ����� �Kingston� ������� knowledge representation and inference techniques when constructing a KBS design of functional requirements and design features for knowledge base systems� Many Figure �� Instantiated inference structure for selecting a KBS tool The use of KADS modelling and the probing questions has led to a knowledge knowledge analysis� when they are selecting a suitable generic inference structure for the architectural design of a knowledge based system� and the tool selection work_2l47wd4umbgptlckvrzotnbl3q Distributed Artificial Intelligence (DAI) systems in which multiple problem solving agents KEYWORDS: Distributed Artificial Intelligence, Multi-Agent Systems, Cooperating Expert two major components a cooperation and control layer and a domain level system (see figure 1). GRATE''s clear delineation of domain problem solving and knowledge related to cooperation GRATE''s cooperation and control layer has three main problem solving modules. cooperation and control layer thus enabling the rules of the problem solving modules to be concentrated on two of the high level tools, BEDES and CODES, which employ expert systems adaptations to the control of BEDES and CODES were required and the domain level tasks had to community of cooperating agents under the control of GRATE. BEDES and CODES expert systems directly into agents. fundamental problem of incorporating pre-existing systems in a community of cooperating agents. Cooperation Between the Two Diagnostic Expert Systems BEDES and CODES, work_2ntpv4mpyre3xdhmwt3t2mqfve Obada Alhabashneh, "Fuzzy-based Adaptive Framework for Module Advising Expert System", Annals of Emerging classifying the risk level for enrolling on a specific module for a specific student case. Keywords: Intelligent Academic Advisor; Module Adviser; Expert System; Fuzzy Logic; Fuzzy Rule-based. urges the need for developing intelligent systems for module-advising to aid the students in selecting recommendations on suitable modules based on the student''s academic history. These spaces are used to estimate the risk level associated with each student, module, and lecturer. used to predict the risk level associated with the combination of a specific student, module, and student feedback in [23] and the resulted clusters were combined with fuzzy based rule association Different knowledge-based recommendation approaches have been proposed for module Rafe [39] developed a fuzzy-based expert system for student advising. To create the fuzzy rule base, in this step and for each abnormal case, the linguistic labels work_2o6cjbbw2bdj7nsiozoi6ob4ku Several studies have proposed simple digital image analysis approaches for mixture quantification that are more precise than visual inspection techniques, and modern mixing tests currently focus on these kinds of procedures [8]. it is possible to identify patterns in the visual characteristics of masticated two-coloured chewing gum specimens when considering a young and healthy reference population. Therefore, we have also redefined the ME for mixing tests as "the equivalent number of chewing strokes that an individual from a healthy reference population would need to achieve a similar degree of mixture under controlled 1. The proposed system can accurately classify masticated two-coloured chewing gum specimens into the corresponding group represented by the number of chewing cycles applied. The calibration stage aims to identify patterns in the visual characteristics of masticated twocoloured chewing gums by analysing a broad distribution of reference samples. Consequently, the feature extraction stage considered a total of 121 features obtained from different image processing methodologies and colour space models (10 work_2pw4vkdn4jh4dohqkeifcbjleq developed/adapted to treat rankings of a fixed set of labels as the target object, include several different types of decision trees (DT). Label Ranking (LR) is an increasingly popular topic in the machine learning literature (Ribeiro et al., 2012; de Sá et al., 2011; Cheng & Hüllermeier, Tree-based models have been used in classification (Quinlan, 1986), regression (Breiman et al., 1984) and also label ranking (Todorovski et al., 2002; This paper extends previous work (de Sá et al., 2015), in which we proposed a new version of decision trees for LR, called the Entropy-based Ranking Trees and empirically compared them to existing approaches. In this section, we start by formalizing the problem of label ranking (Section 2.1) and then we discuss the adaptation of the decision trees algorithm Tree-based models have been used in classification (Quinlan, 1986), regression (Breiman et al., 1984), and label ranking (Todorovski et al., 2002; Cheng work_2s7yi5h4orcibame2ndlhum7lu  A novel method for the assessment of trademark similarity is proposed. similarity and produces an aggregated score based on the individual visual, semantic and proposed computational method for assessing trademark similarity employs multi-faceted evaluation of the three main aspects of trademark similarity: visual, semantic and phonetic. previous approaches aimed at developing decision support systems for trademark similarity Table 1 shows examples of trademarks with different types of similarity: visual, retrieving trademarks based on their visual similarity using low-level features. fuzzy logic to compute the degree of similarity between trademarks due to its natural algorithm (Navarro, 2001) is used to compute the visual similarity of trademarks with word The computation of semantic trademark similarity uses two sets of features to represent fuzzy set, i.e. the visual, semantic and phonetic similarity scores, respectively, and k is the work_2vcf2a424rfptcuffnkojfx2hm Sem-Fit: A semantic based expert system to provide recommendations in the tourism domain tic hotel recommendation expert system, based on the consumer''s experience about recommendation Sem Fit uses the consumer''s experience point of view in order to apply fuzzy logic techniques to relating customer and hotel characteristics, represented by means of domain ontolo are compared with the expert recommendation for each customer profile. Fit, a semantic hotel recommendation expert system, based on will be represented by means of fuzzy sets based on the affect grid Capturing the fuzzy knowledge about hotel recommendation by means of fuzzy sets the characteristics of the hotels and the evaluated obtaining the set of fuzzy values for the hotel charac provided by four experts in hotel recommendations. measure customer agreement with the expert''s recommendation. Four experts in the travel domain recommend a hotel for each Comparison between expert recommendation and customer selection. work_2wnvavslprfthlo5orvk5l53du Title: An Ontology for Managing Network Services Quality Keywords: Ontology; Multiservice IP Networks; Network Service Management; SLA/SLS; Semantics An Ontology for Managing Network Services Quality An Ontology for Managing Network Services Quality An Ontology for Managing Network Services Quality namely: (i) to foster client and service provider interoperability; (ii) to manage network service contracts, facilitating the dynamic negotiation between The evolution of the Internet as a convergent communication infrastructure supporting a wide variety of applications and services poses new challenges and needs to network management, which has to be more focused on As a contribution in this context, this work proposes an ontology specification in the domain of multiservice networks, which formally specifies the The multiservice network semantic model is developed in Web Ontology a support to a decision recommendation tool by providing high-level information to the user about the compliance of the network facing the service work_2xgnobbhpnbmhmgkqlirqfz66q [PDF] Expert Systems in Clinical Microbiology | Semantic Scholar Corpus ID: 2239702Expert Systems in Clinical Microbiology title={Expert Systems in Clinical Microbiology}, SUMMARY This review aims to discuss expert systems in general and how they may be used in medicine as a whole and clinical microbiology in particular (with the aid of interpretive reading). Sort by Most Influenced Papers View 6 excerpts, cites background and methods Clinical Decision Support Tools for Microbiology Laboratory Testing View 1 excerpt, cites background View 1 excerpt, cites background View 1 excerpt, cites background View 3 excerpts, references background and methods View 1 excerpt, references methods [Expert systems and antibiotic sensitivity test]. View 1 excerpt, references background View 1 excerpt, references background View 1 excerpt, references background View 1 excerpt, references background By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License work_2xtf2gstifhyza6sahun3emrqi An important step in mass spectrometry (MS)-based proteomics is the identification of peptides by their fragment as a large body of high mass accuracy and pure fragmentation spectra. The resulting annotation performance surpasses a human expert, especially on complex spectra spectra— especially of larger peptides— can be quite complex and contain a number of medium or even high abundance peptide fragments that are not annotated by the search spectra from which annotated peaks are drawn to form a large peak collection of possible fragment masses. in the data set, 10 random fragments are inserted and the number of annotations by the Expert System is counted. The FDR for peak annotation rises with peptide length and is strongly dependent on the mass difference. intensities and 24% by peak number are explained, whereas the Expert System almost completely annotates the spectrum (for further work_2y55lv27fnazbowsoz2jmkrwtu Two prepositions of the horizontal axis (near and away from) are Key words: horizontal directions, landmark, trajector, frames of near and away from, and will explore their main uses and senses. this author uses the corresponding reference point, the landmark. target and to the object of reference as the landmark. • object of spatial relation = landmark • Near / away from are prepositions of distance. prepositions near and away from on the following dictionaries to English prepositions near and away from and the Spanish are the directions of the prepositions near and away from in this Analysis of prepositions: near and away from. Analysis of prepositions: near and away from. Analysis of prepositions: near and away from. Analysis of prepositions: near and away from. Analysis of prepositions: near and away from. Analysis of prepositions: near and away from. Analysis of prepositions: near and away from. Analysis of prepositions: near and away from. work_2yanabvlyjeqnphthvu7dvtlvi article deals with the application of advanced mathematical techniques designed to aid in the management of records of different water quality monitoring networks. can indicate water quality episodes from the behaviour of variables measured at continuous automatic water control networks. and laboratory analysis, providing information related to specific events (discharges) or continuous processes (eutrophication, fish risk) which can hardly • will increase knowledge about the river basin, by summarizing in synthetic values the information contained in a set of complex variables Figure 5: Measured variables for Episode 3 (eutrophication and fish risk). For the ''fish risk indicator'' case, the expert-designed membership functions for the input variables (depicted in Figure 9) have been translated to quality (discharge, eutrophication and fish risk) through continuous measurement. Figure 14 (bottom) shows the results of the ''fish risk indicator'' for Episode that allow the detection and identification of episodes of urban or WWTP discharge, eutrophication and fish risk have been developed. work_2yfpqgwysjgvtfekdhm5l462zm A fuzzy expert system architecture for data and event stream processing. A fuzzy expert system architecture for data and event stream processing. Keywords: Fuzzy expert system, complex event processing, data stream computational cost, it has been showed that fuzzy rule bases need to be more55 number of rules: applying on information streams needs a fast processing of expert systems in which the problem of the rule base size in terms of computation speed is addressed by eliminating redundancy in the assessment. information streams, inputs may change several times per second, or rules must or of patients need to process the same rule base over different input streams. To compute the different nodes of the graph representing the rule base, the to process rule bases, varying the number of inputs and terms to increase the355 Figure 4: Average number of nodes to be evaluated for different rule base sizes in the all four work_2z3fjxhcrfhefbagjvcl4iyogm Neural Network Ensemble Operators for Time Series The combination of forecasts resulting from an ensemble of neural networks Keywords: Time Series, Forecasting, Ensembles, Combination, Mode Although the use of ensembles is nowadays accepted as the norm in forecasting with NNs (Crone et al., 2011), their performance is a function of how Furthermore, ensembles of both training initialisations and sampling (bagging) are used to investigate the performance of the operators. In either case, neural network ensembles created from multiple initialisations or from the application of the Bagging algorithm, require the use (2013) showed that combining models fitted on data sampled at different frequencies can achieve better forecasting accuracy at all forecasts by model selection, mean, median and mode ensembles are provided. neural networks, while the commonly used mean ensembles were often outperformed by exponential smoothing forecasts. An evaluation of neural network ensembles and model selection for time series prediction. work_2zlvlsgvvbe5tke7aiw2ffir4u Methods and tools for the static and dynamic verification and validation of software systems are common place in the field of software engineering. Despite this fundamental limitation, software engineers consider dynamic methods indispensible aids in the software-development process, and supporting software tools are invariably expert systems, where it is much more difficult to ensure that the system meets its specifications and expectations than in software engineering, tools that aid in the dynamic verification tools, which were applied during the development of the HEPAR system, a rule-based expert In Section 3, the subject of knowledge-base refinement is related to expert-system validation Most of the information obtained by the dynamic validation of the HEPAR knowledge Some of the software tools that have been developed for the dynamic validation of the HEPAR The environment of software tools developed for the dynamic validation of HEPAR consists refinement of the HEPAR knowledge base for the 82 patient cases from Leiden University work_345bu7ezubahfezuj3appo2jgy One of the important steps of providing ISO 9001 quality management system is the internal audit. importance, this study aims to facilitate the internal audit process with respect to ISO 9001: 2015 accreditation via Expert System FindingsThe internal audit evaluations and scoring reports regarding ISO 9001: 2015 directives are obtained as a result of the expert ConclusionThe study provides an expert system for internal audit of ISO 9001: 2015 which is essential for all the organizations. The objective of this study is to suggest an expert system approach for facilitating the internal audit process with respect to ISO 9001: 2015 In this study, an expert system approach for measuring the success of the ISO 9001 QMS items and the system in general is proposed. Knowledge acquisition facility is based on ISO 9001:2015 QMS Standards in proposed expert system approach. ISO and quality management experts and question lists of these processes were determined. work_34b345ljjbbzpisupoqauu7yee This paper considers the extent to which the amateur use of expert systems for home Other examples of expert systems are medical diagnosis programs and drafting of legal The development of new expert design applications raises three major issues concerning 3. Expert systems and design practices Expert systems are also beginning to affect the role played by professional designers. what role expert systems have to play in design, compared say to Medicine, and hence to example is useful because it covers a multitude of products designed by professionals 4. Expert systems for DIY design of the home A most striking feature of current expert systems for design is that they provide no form current expert design systems seem utilitarian and much less useful as educational It is unlikely the same is true of authors of expert design systems, since they are in the a market perspective, expert design systems look like another instance of the computer work_35b465fwlnexvbuebingsjly4y We tackle this problem using a simple probability based term weighting scheme to better distinguish documents in minor categories. weighting schemes over two benchmarking data sets, including Reuters-21578, shows significant improvement for minor categories, while Our approach has suggested a simple and effective solution to boost the performance of text classification over skewed data sets. Keywords: Text classification; Imbalanced data; Term weighting scheme used in TC are either naturally skewed or artificially imbalanced especially in the binary and so called ''''one-againstall" settings, classifiers often perform far less than satisfactorily for minor categories (Lewis, Yang, Rose, & Li, 2004; weighting has long been formulated in a form as term frequency times inverse documents frequency, i.e. tfidf (BaezaYates & Ribeiro-Neto, 1999; Salton & Buckley, 1988; Salton & McGill, 1983; van-Rijsbergen, 1979). Macro-averaged F1-values of TFIDF and probability based term weights F1 scores of TFIDF and the probability based term weighting scheme tested over Reuters-21578 using both SVM and CompNB. work_35cydgiokfe3bhmwz2zsowhzwi Abstract: We present a new method and tool for activity modelling through qualitative sequential data We use knowledge engineering techniques to help the analyst build an ontology of the Our tool helps the analyst define transformation rules to process With this tool and this method, we found innovative ways to represent a car-driving activity at different levels of abstraction from activity traces collected from an instrumented vehicle. Keywords: sequence mining, timeline analysis, activity trace, knowledge-based system, activity systems to help analysts create models of activity We illustrate these principles with a software tool that we have implemented, and with an example modelling analysis second need is for helping the analyst construct meaningful symbolic representations of principles of activity trace modelling, based on Because an activity trace depends on the analyst''s knowledge and assumptions, it can only be Figure 2: Activity trace modelled in a knowledge engineering system. work_35yj7gknozerbjznmviwkbytwi An expert system for the interpretation of infrared spectra EXPIRS was created. are: hierarchical organization of the characteristic groups, realized by frames; registration of the multiple use of spectral bands; taking into account the solvent absorption and the chemical inconsistencies; documenting the interpretation of infrared spectra were formulated and some of them were tested with EXPIRS. Keywords: Infrared spectrometry; Expert systems; Frames; Heuristics; Organic compounds An alternative approach is to base the interpretation rules on classical logic, leading to decisions clearly formulated by an expert. upon characteristic group intervals and band intensities), solute-solvent interactions, blocking of The data for the characteristic intervals, solvent absorption and chemical inconsistency were We have used frames to realize the hierarchical organization of the characteristic groups in the program is the frame "Characteristic group"; gives a report for the presence of the following characteristic groups: sp3C-H, CH,, CH,, EXPIRS reveals the existence of the following characteristic groups: sp3C-H, CH,, CH,, work_3665qv37y5dqbnw4huvnhsg4mu 1052-2 Expert System Aid in Differentiating Among Paroxysmal Supraventricular Tachycardias the algorithm, based on objective operator independent criteria, was evaluated, and parameters obtained were found to be in excellent agreement with From published data, each abnormality is assigned a probability based on the positive predictive value of the values, the expert system assigns a final probability for AVRT, AVNRT and AT. in the differentiation between AVRT, AVNRT and AT in paroxysmal supraventricular tachycardia. reducing antithrombotic therapy in conjunction with implantation of heparincoated stents. The study consists of three phases, where resumption of heparin therapy after stent implantation was progressively delayed in a stepped Stent implantation was successful in all patients and following the In this pilot study implantation of heparinized stents was associated with a 100% success rate, absence of serious complications and 3 stents implanted. The diameter of the stents implanted was 2.5 1 was already complete at the time of stent implant. work_37btiicl5fhs5lb2yfxzlmafnu A shapelet is a subsequence extracted from one of the time series in the data set. all the time series in the training set, and for each shapelet calculating its distance to each time first optimizes the distance calculation of a shapelet to a time series. The Euclidean distance between a time series T of length m and a local-shapelet presents two time series from the same class of the data set Lightning7. Figure 2: Two examples from different classes of the Lightning7 data set illustrating the need for a tolerance range. Our goal is to show that for data sets from the field of spectroscopy, the usage of localshapelets reduces the time complexity during both training and classification phases in comparison with global-shapelets (i.e., non-local shapelets) without degrading accuracy. of examples in the training and test sets, the number of classes, the length of the time series and work_37p7nlfftrhp3cya4xhtjt7c7y An expert system for diagnostics and estimation of steam turbine components'' condition system solves the problems of diagnosing the flow steam path of the turbine, bearings, thermal expansion system, regulatory system, condensing unit, and the systems of regenerative feed-water and hot The knowledge base for the condensing unit contains 12 hypotheses and 15 pieces of evidence (indications); the procedures are also designated for 20 state parameters'' estimation. containing the diagnostic features and fault hypotheses are formulated for other technological subsystems of a turbine unit. Keywords: diagnostic, diagnostic features, expert system, evidence, faults, hypotheses, steam turbine. The knowledge base contains information about STU failures as fault hypotheses and a table of evidence. The ES comprises the knowledge bases designed for turbine flow part, for turbine bearings, for system of thermal expansions, for automatic regulatory system, for condensing unit, 1 Turbine steam flow rate – setting of high-pressure part servomotor work_3ahleve2qbbjjgsmjg73bbl33a Performance of supply chain collaboration A simulation study To evolve competitive supply chain collaboration (SCC), all SC processes Key words: supply chain collaboration, simulation, performance measurement, CPFR Sridharan (2004) evolved four profiles for supply chain collaboration (SCC), namely efficient, synergistic, 2. Supply chain collaboration for performance improvement: A Literature review models to identify underlying demand factors of soft drink sales in collaborative supply chains. (2006) created a system dynamics model to evaluate the performance of supply chain management. process in collaborative supply chain performance. indicator is used to measure performance of collaborative supply chain. collaboration, business objectives – operational and financial, information sharing and SC processes. 4. Development of performance measures for supply chain collaboration 4. Development of performance measures for supply chain collaboration important factors of collaboration namely business objectives financial and operational, supply chain The effect of collaborative forecasting on supply chain performance. Supply chain collaboration for improved forecast accuracy of work_3akpcw3alvfzpbwlc3yzkadwpa automatic scoring of bradykinesia in repetitive finger-tapping movements for patients with idiopathic a detailed analysis of finger-tapping performance and decision support for symptom evaluation. Keywords: decision support system; wearable inertial sensors; finger-tapping; automatic scoring; applied for prediction of clinical scores using inertial data recorded during foot tapping [23] and hand applied for prediction of clinical scores using inertial data recorded during foot tapping [23] and hand instructions provided in the UPDRS test state that patients should tap their fingers 10 times [3], in this The scores given for the patients were provided separately for the lessand more-affected hand (averaged for all patients per group), whereas, in the case of healthy controls, for calculation of UPDRS finger-tapping scores is presented in Figure 2. for calculation of UPDRS finger-tapping scores is presented in Figure 2. and four blocks that calculate features to describe criteria defined in the UPDRS test: tapping amplitude, work_3b2a2vjlanay3ksoid7xvudtrq Multi-criteria decision-making (MCDM) concerns selecting, ranking or sorting a set of alternatives which MCDM methods use simple monotonic linear value functions. example of supplier selection (including a comparison between simple monotonic linear value functions, Considering the two assumptions (monotonicity, linearity), we usually see simple increasing and decreasing linear value functions for the decision criteria in MCDM problems. to note that while in many studies value functions are elicited according to the preference data we have from the decision-maker(s), In this section, a number of piecewise value functions are dened for decision criteria. Decreasing value function shows that as the criterion level, x ij , A decision-maker might consider a hybrid value function for a criterion. Piecewise linear value functions for multi-criteria decision-making Piecewise linear value functions for multi-criteria decision-making Piecewise linear value functions for multi-criteria decision-making Piecewise linear value functions for multi-criteria decision-making Piecewise linear value functions for multi-criteria decision-making work_3cy3ym4zi5ht5g5z7rnaurcdty L-fuzzy set theory, incomplete information, lower and upper ''L-fuzzy rough set'' where the membership degrees are intuitionistic fuzzy rough set theory, in Section 4 we leads to intuitionistic fuzzy set (IFS) theory (Atanassov, Fuzzy rough set theory Yao (1997) used ''fuzzy rough set'' to denote the approximation of a crisp set in a fuzzy approximation space, whereas in his view a ''rough Along with the lower and upper approximations, rough set idea to fuzzy rough set theory: the strong membership introducing the concept ''intuitionistic fuzzy rough set''. 4. Intuitionistic fuzzy rough sets approach to intuitionistic fuzzy rough sets; they fuzzy rough set (A, B) is a generalization of an IFS in intuitionistic fuzzy rough set (A, B) is a generalization of a fuzzy rough set, in which upper and lower towards intuitionistic fuzzy rough set theory until now. fuzzy rough set in the approximation space (X, R,T, I) if holds in intuitionistic fuzzy rough set theory. work_3czyinsxobhzjdakbts7whwj5q Wakeman, Steve Tarleton Published texts on solid/liquid separation technology have allowed a limited amount of knowledge to computer technologist might target solid/liquid separation as a technology ripe for the application of expert systems. It is argued here that expert systems on their own are inadequate in this subject area, knowledge and an example of the application of the combined approach to equipment selection Equipment selection using the pC-SELECT software is demonstrated. Aeronautical, Automotive, Chemical and Materials Engineering Chemical Engineering WAKEMAN, R.J. and TARLETON, E.S., 1991. Solid/liquid separation equipment simulation & design – an expert systems approach. Solid/liquid separation equipment simulation & design – an expert systems approach. Solid/liquid separation equipment simulation & design – an expert systems approach. Filtration & Separation, 28 (4), pp. This article was published in the journal, Filtration & Separation [© Elsevier] and the definitive version is available at: http://dx.doi.org/10.1016/0015-1882(91)80118-O https://doi.org/10.1016/0015-1882(91)80118-O Chemical Engineering not elsewhere classified Chemical Engineering not elsewhere classified work_3f36lrvqwjdjdmkat65ktfoney Rule-based scheduling algorithms have been widely used on cloud computing systems and there is still plenty of room to improve their performance. Keywords: Cloud computing, Scheduling and Expert System, Heuristic the level of abstraction, various models for cloud computing like Infrastructureas-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service One of the important tasks for cloud provider is scheduling data In cloud computing scenarios scheduling algorithm becomes very effi cient scheduling algorithm suitable for cloud system. scheduling in cloud data center is more challenging than traditional cluster the maximum number of iterations the selected low-level heuristic algorithm is to be run; ni the number of iterations the solutions of the selected lowlevel heuristic algorithm are not improved. Hyper heuristic Algorithm: Time-based consists in setting a timer Sequence Diagram for Cloud Scheduling Algorithm Hadoop map-task scheduling problems on cloud computing environments. 7. Tsai, Chun-Wei, et al., 2014, "A hyper-heuristic scheduling algorithm for cloud" IEEE work_3f4o5vkwirca5doewxivlid55u HMMs to model the stochastic movement of the body-parts for action recognition. Actions like walking, jogging, running, boxing and waving are systematic combinations of the motion of different human body components. Figure 1: The proposed framework for action recognition based on probabilistic optimization model of body parts using Hidden Markov Models (a) Construction of body-part Features from body parts B are used to model the action likelihood Pr(a|B,I), and Several methods for learning and recognizing human actions directly from image measurements have been proposed in the literature (Black & Jepson 1996, Davis & Bobick 1997, Zelnik-Manor & Irani 2001, Chomat & Crowley 1999). Also (Mendoza & de la Blanca 2007), detect human actions using HMMs In our method we combine the advantages of full body and part-based action recognition approaches. Here, for each action ai one discrete HMM is constructed using features from the contributing body parts: Blegs or Barms. ''HMM-based Human Action Recognition Using Multiview Image Sequences''. work_3g2qgpmfbnbqxfqrqvxk4quel4 The central problem in the approach based on the synchronizing words is to find the shortest one for a given automaton. that for any n-state synchronizing automaton there exists a synchronizing word of length at most (n � 1)2. In Sections 5 and 6 we present our two main results: application of efficient data structures to the exact synchronizing algorithm and a new, efficient heuristic algorithm. the algorithms that find a synchronizing word for a given automaton. Three others (NATARAJAN, EPPSTEIN and SYNCHROP) are heuristic algorithms working in polynomial time, so they are faster, but they find not necessarily the The semigroup algorithm does not require a costly power automaton construction phase, but its standard implementation is terribly algorithm generates sequences of states of size n (and not sets). Interestingly, after performing these optimizations, the algorithm is very similar to the power-automaton-based approach. algorithms work for automata with long synchronizing words. work_3gmfusebffdg3m6qdqgyme5u7e rule inducers in solutions (data sets) produced by a general-purpose optimisation heuristic called the hyperheuristic for a personnel After experimenting 16 different solution generated by a hyperheuristic called Peckish using different classification approaches, the results indicated that associative classification approach is the most applicable approach to such kind of problems selection of low-level heuristics from the data sets more accurately than C4.5, RIPPER and PART algorithms, respectively. The arrows going from and to the hyperheuristyic in Fig. 1 represent the selected low-level heuristics improvement values on the objective function In the next section, we investigate some of the popular data mining techniques for learning the sets of low-level heuristics that improve the The MMAC algorithm consists of three steps: rules generation, recursive learning and classification. C4.5 algorithm was created by Quinlan (1993) as a decision tree method for extracting rules from a data set. work_3hopjr7buneu3mpkb67fz4jd6a sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 221017040 (wp-p1m-39.ebi.ac.uk) Time: 2021/04/06 03:06:06 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_3ikurlx7ifgmperterkvnzglka mechanisms, which support reasoning of the effect of strategic change activities to the maturity of the e-business models, are still emerging. This paper describes an attempt to build and operate such a reasoning mechanism as a novel supplement to e-business strategy formulation exercises. FCMs, this research aims at simulating complex strategic models with imprecise relationships while quantifying the impact of strategic This research establishes generic adaptive domains – maps in order to implement the integration of hierarchical FCMs into e-business strategy formulation activities. Keywords: Fuzzy cognitive maps; E-business modeling; Strategy planning; Decision support approach to e-business maturity modeling based on FCMs. Finally, Section 5 concludes this paper and briefly discuses Modeling traditional business activities supplementing business modeling activities. (2002) proposed generic structures with no formal reasoning capabilities to model traditional business processes, The research presented by Burgess (1998) modeled business process models with system dynamics to support the work_3jqspwm2ifdpjfftgomw57gcc4 of us who have played the game and experienced that success, it may not be surprising that objects can be identified through tactual exploration. systematic study of haptic object identification, it was the haptic system (i.e., purposive touch, as defined in Gibson, 1966) is inadequate for object identification, especially when compared with vision. reasoning, that haptic identification of common objects However, those investigations do not provide a general assessment of haptic identification capabilities, because of various limitationsusing very young subjects, a small sample of objects, or HAPTIC OBJECT IDENTIFICATION 301 Earlier it was suggested that studies with arbitrary configurations or two-dimensional simulations might underestimate the capacity for haptic object identification, because that used factor analysis to assess the basis for haptic object identification. model of haptic object identification, one component of research on haptic object identification might be applied work_3klorapqwnd2pmpmvo24rrzmta We describe a recommender algorithm that builds a model of collective preferences independently of personal user interests and does not require a complex system of ratings. the algorithm is analyzed on a large transactional data set generated by a real-world dietary intake recall The algorithm calculates the likeliAlgorithm 1: Recommendations based on association rules. (2010) for our food recommendation task, which reulted in a recommender algorithm based on transactional item Recommender algorithm based on association rules applied to the example data set. bserved IF , the recommender algorithm based on pairwise assocition rules (PAR) recommends foods that are likely to be observed Algorithm 4: Training the model based on pairwise association rules. Recommender algorithm based on transactional confidence applied to the example data Recommender algorithm based on pairwise association rules applied to the example data PAR is selected to be used for the implementation of the associated foods recommender algorithm. The evaluation of the associated foods recommender algorithm work_3lzp6xtt5javxo757ggrue4gse Executed Over Networks) System is presented as the application of Artificial Intelligence techniques to the problem of botanical GREEN is an Expert System for the identification of Iberian Gymnosperms which allows online queries to be made. Keywords: Gymnosperms; Identification keys; Expert Systems; Artificial Intelligence; World Wide Web; Iberian Peninsula keys (a process which requires knowledge of botanical to these systems by processing the information they contain † A process of the use of this knowledge in order to solve of a rule-based Expert System (Luger and Stubblefield, Botany uses identification keys, whereas applied Artificial Intelligence techniques determine the minimum set of A set of rules (represented in the Knowledge Base) is analyzes each of the rules in the Knowledge Base in order to and knowledge inference (a process used in an expert gathered in the Knowledge Base thereby responding to user knowledge model together with the inference process implementation of rule-based expert systems. work_3mu6jnosszdnhdltvokblqh2oy pool, overcome composition restrictions, determine the importance of different quality of service parameters, focus on the dynamic characteristics of the problem, and address rapid changes in the properties of identifying the investigated quality of service parameters, intended objectives, and developing environments, beneficial results and statistics are obtained that can contribute to future research. proposed by researchers and applied by cloud providers; this approach can consider both of the mentioned challenges simultaneously. Service composition techniques were first applied in cloud computing systems in 2009 (Kofler, ul Haq, & Schikuta, 2009; Zeng, aiming to eliminate barriers to future research efforts, such as proposing comprehensive and reliable mathematical models for calculating composite service QoS values. static and dynamic service composition but uses real-world datasets and benchmarks, comparing the results with the previous research; calculation time and memory complexity are neglected. QoS-aware service composition in virtualization-based cloud computing. 4 The cloud computing service composition problem (CCSC) work_3rdd7ykfkveu5asatfqcf24ohq Expert systems for knowledge management: crossing the chasm between information processing and sense making Based on insights from research in information systems, information science, business strategy and organization science, this paper develops the bases for advancing the paradigm of AI and expert systems technologies to account for two related issues: (a) dynamic radical discontinuous change impacting organizational performance; and (b) human sense-making processes that can complement the machine learning capabilities for designing and implementing more effective knowledge management systems. Keywords: Expert systems; Arti®cial intelligence; Knowledge management; Information systems; Information science; Business strategy; Discontinuous change; Sense making; Information processing information processing systems, often based on mathematical and computation models. enabler of performance can immensely bene®t from unraveling the intervening processes of human sense making systems research and practice in knowledge management, researchers to develop knowledge management systems sense-making capabilities of AI and expert systems technologies and humans using them. work_3rmubmxsfbbjlk6w2bf2tmt7nm process orientation in linking appraisal to the complex unfolding of emotion episodes over an expert system based on Scherer''s (1984a) "stimulus evaluation check" predictions show Studying the Emotion-Antecedent Appraisal Process: An Expert System Studying the Emotion-Antecedent Appraisal Process: An Expert System Scherer (1993) Studying the emotion-antecedent appraisal process: An expert system approach, Cognition and Emotion, 7:3-4, 325-355, DOI: Studying the Emotion-Antecedent Appraisal Process: n u m b e r and types of appraisal criteria needed to explain emotion differentiation. appraisal in human subjects uses self-report of emotional experiences limitations of current empirical research on emotion-antecedent appraisal: appraisal criteria (stimulus evaluation checks, abbreviated as SECs) proposed occur in an invariant sequence (in the order shown in Table 2). of selected stimulus evaluation checks for the respective emotions) constitutes the prototypical pattern which will be used to classify usergenerated input vectors. emotion situation rather than responding to all SEC appraisal questions work_3srazpdo6zbtxm7kkztjahnhlq In this work, a method to enhance images based on a new artificial life model is presented. The objective of this paper is to present a new method based on artificial life to image enhancement The computational image processing based on artificial life models uses an analogy between to enhance the contrast of images by proposing a new artificial life model. the model based on artificial life used in the proposed image enhancement method was inspired by In Figure 8, the results of the same enhancement methods applied in 4 real images are presented, Another objective analysis that can be made about the results of the image enhancement methods is The proposed method for image enhancement in the spatial domain is based in a new artificial life model, which processes the original image using operations based on the pixels'' values in order to Moreover, the experimental results obtained using the proposed image enhancement method allow work_3sxzzd3jjneznfcxhrsajjc32i Road traffic represents the main source of noise in urban environments that is proven to significantly level in urban areas, it is very important to develop methods for modelling the road traffic noise. In this paper a novel approach for modelling traffic noise that is structure on the level of traffic noise is an important area of The first traffic noise prediction (TNP) models date back to early Since then large number of methods and models for traffic (Calculation of Road Traffic Noise) model (Quartieri et al., 2009), (2005) genetic algorithm was used to model the traffic noise genetic algorithms, Hooke and Jeeves algorithm, simulated annealing, and particle swarm optimization. genetic algorithms, Hooke and Jeeves algorithm, simulated annealing, and particle swarm optimization. All optimized models are tested on data measured on Serbian road using the equivalent sound pressure levels were measured for time period The equivalent sound pressure level is supposed to be modeled work_3tqvfeholvburhnwt43i3vso7i BUILDING IRRIGATION EXPERT SYSTEMS for a specific task in order to realize very rapid development times with very little effort presented describes various aspects of a tool that was built for rapidly developing irrigation expert systems for vegetable crops in Egypt, and shows how greatly this tool Keywords: Agriculture, Expert systems, Knowledge tools, Knowledge expert system tools and shells, developing an tool built specifically for irrigation expert of irrigation expert systems as well as the goal of Other examples of irrigation expert systems 3. IRRIGATION EXPERT SYSTEMS: A 4. THE DEVELOPED IRRIGATION TOOL 4. Develop a generic irrigation task layer To develop an irrigation expert system, all the Figure 1: Irrigation Expert system developer interface irrigation systems, the required development time tool that can achieve this for irrigation expert tool the process of developing an irrigation expert The tool was used for training noncomputer specialists on developing irrigation expert work_3vo6ohjwjzcebnzidwoautzbu4 Nevertl~eless, the existing traditional SPC schemes for bivariate quality control (BQC) were mainly designed for rapid detection of experiments to select input representation based on raw data and statistical features, artificial neural network recognizer design based on synergistic model, and monitoring-diagnosis approach based on twostage technique. When dealing with monitoring and diagnosis of bivariate process variation in mean shifts, based on process monitoring viewpoint, an effective bivariate SPC scheme should be able to overall performance towards achieving balanced monitoring (rapidly detect process variationlmean shifts with small false alarm as second stage monitoring and diagnosis through recognition of process data stream patterns that contain one of several out-of-control In t h e first 40 samples, this scheme was able to correctly recognize t h e bivariate process data streams as in-control patterns (N). Based on t h e first 39 samples, this scheme is effective to correctly recognize the bivariate process data streams as in-control work_3vq4z57v65enhnkvtjrsqjz3ta Data mining models for student careers Data mining models for student careers This paper presents a data mining methodology to analyze the careers of University graduated students. We present different approaches based on clustering and sequential patterns techniques in order to identify strategies for improving the performance of students and the scheduling of exams. the study of data mining techniques applied to small data sets concerning higher education institutions and concludes that the use of Somnuk, and Beikzadeh (2008), a model is proposed which presents the advantages of data mining technology in higher educational systems; the authors give a sort of road map to assist the Damaševičius (2010) a framework is proposed for mining educational data using association rules. 2014) applies frequent itemset mining and association rule learning to students previously grouped by clustering techniques. The existing literature about the use of data mining in educational work_3vtrulz3czgv7pbhfl7yw5lxem Face recognition using the conventional interest operator, therefore, has the following shortcoming: the feature extraction results of different images of the same face might have much compare the feature extraction results of two images that are obtained under the high and low intensity lighting conditions, a the improved interest operator takes the relative rather than absolute variation of image pixel intensity as the features of the face The original face and resultant images obtained using the conventional interest operator. However, by using the relative variation of the pixel intensity as shown in (7)–(11) as the feature of the face image, improved interest operator 1 is able to from improved interest operator 1, the second improvement operator takes as the feature of an image block the result of the conventional interest operator divided by the sum of the mean of the pixel Khor, Woo, & Dlay, 2006; Nhat & Lee, 2005; Sanguansat, Asdornwised, Jitapunkul, & Marukatat, 2006; Wang, Wang, Zhang, & Feng, work_3w545bukofdphbrifcp74hjary work_3x6bngh4dnfylnzuyowf6pdo6u are that intelligent programs should be able to acquire new knowledge and to apply it appropriately; 2. the expert offers a recommendation or conclusion based on the available data; and good example of issues in the design and construction of knowledge-based programs. l3 We have also found that MYCIN-like rules need substantial modification to dealwith inference in settings like medical monitoring where parameters change rapidly and analyses of MYCIN reasons backward from its goal of determining therapy for a patient. 4. to suggest adjustments to therapy based on the patient''s status over time and long-term The program interprets physiologic measurements over time and uses a model of intensive care Most medical decision making programs, including MYCIN, have based their advice on the data The VM knowledge base includes rules to support five reasoning steps that recur whenever knowledge-based consultation program," Artificial Intelligence, Vol. 8, 1977", pp. work_3xoq4ohu2nczje4o7o4w7z2gcu The repeatability test of the injection process therefore needs to reflect this number, in order to The expert system described provides the necessary expertise to identify the required tests (4) The final stage in a method validation test is to diagnose the results. requires pass/fail criteria and a method for identifying and curing problems. flow-rate and pressure drop of the instrument; (5) the projected analysis time, resolution and signal-to-noise ratio for the analysis; and (6) the selected values for the The method features to be tested are then defined as the sample preparation and (4) The list of problems with injection and sample preparation are combined involve changing the method, such as the re-optimization of resolution, and actions calculated values for the R.S.D. are shown for each of the sample preparation tests EXPERT SYSTEM FOR TESTING OF HPLC METHODS 265 EXPERT SYSTEM FOR TESTING OF HPLC METHODS 265 EXPERT SYSTEM FOR TESTING OF HPLC METHODS 265 work_3xox3v7zbbak3ezlahwjewhqqi ASPECTS OF AN EXPERT SYSTEM FOR ON-LINE EOLIAN SITES DESIGN development of an ON LINE expert system, with free access, for the eolian sites The expert system is based on a set of rules and metric relations, and 1. approximation of average and annual eolian potential, using terrain data, and approximation of capital costs, data about the providers for eolian plants, etc. Keywords: Eolian energy, expert system, assisted design. BWEA – British wind energy association Generally speaking, eolian emplacement comprises representing eolian potential), more or less general RULE 1: Wind generators are practical in the coastal Romanian eolian potential map elaborated by 2.1 Approximation of eolian potential based on terrain eolian isolated generators with the same installed power. RULE 5: A generator is emplaced in an area without generate the blueprint of the eolian site project (see figure Also, by the blueprint of the eolian site, in some cases, it is work_3yrlw3wgnjbahm23qkojfkuotu preference judgments, can induce ranking functions that map objects into real numbers, in such a way that people''s preferences in a metric space, where it is possible to define a kernel based similarity function; proposal is to use the ranking functions induced from the preference judgments of each person; we will Keywords: learning preferences, clustering, adaptive assistants, analysis of sensory data, market In this paper we tackle a slightly different problem: learning people''s preferences for consumable In this paper we present a new algorithm that, given a family of preference judgment sets from a number similarity can be defined between the ranking functions learned from the preference judgment set of each represents a product rated by a consumer in a given tasting session. character of people''s preferences, for each consumer pi, we will separate the ratings given at each tasting The data collects the sensory ratings of a panel of beef meat consumers about two work_3zj3tdg2jja53nmljlfxxfkeq4 sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220995899 (wp-p1m-38.ebi.ac.uk) Time: 2021/04/06 03:05:40 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_4274vtpvknednjpjobxit4chnm ³J'' ��µ '' ���%�3¶��_�%�~ �����$· ��¸�� ���µ����~ ��%�· '' �%µ����(���� 8�����º¹�����µ���$· ��¸¹����%�%$·� ��$B ����:�� ������%µ��£�� S ��� '' ��������µ���Ï2� ���� 3 '' �8�(¹��''&��8 0�� ���µS¶ '' �%������&(���%� ������ "�%�%���� �µo�� � '' �J������&��� �µ����� �$��%µ������ ���2ý2�2������ ��%�����"������������ :�������� ��%µ���µ� '' �_���� ��� ����( ���&��_µ��� 8¶ '' �%� '' ó ����¾#¹��R���� � 0�� �����$#���� '' �� �¶£�� '' �%�Í�B ������:�� 8������������ ��� �¶£�� '' �%�# '' � ¼��5���%����&��%�( ������B Ã���� ��� �µ�* �� ������%µ���µ�)2����$��� = '' ��������µ���Ï2� ���~ �µ�����$ ������µ¤¶ '' �%� '' �����~ ����%�B '' �� ���½� �����%µ:¶£�� '' µ���&��� �����$��%�� ��������( �����µ�*���� ���� ����� ��� ���½� �µ 0 ����ð '' ���(���� ����� ��%�( ���$��%�� ��������( �¾�* ���µ�¶ '' �%� '' ���������&������( � ��%�����%�( �&(���%� ,,TVUWT�,,TVUWT k&ijcWe0eml�T ���%��µ�µ þ �����~ ����%��µS �������µS��µJ¹������''¶8À ���� ���$# ��B '' �� ��( �¼��� � Ã���� ��%��Ç����_���%��µ�µ þ �������) ���~ S.Ã�%������µ����� ������%��µ�µ þ ������51��� ; 0 ���� '' ��$��%µ� � ���¹�� work_42y67v6mcvacfodxyqueyuewk4 Modularized Cutting Tool Selection Expert System Abstract: This paper is to present a rule-based cutting tool selecting expert system which has knowledge modules and machining method; selection of tool material and type; calculation of process parameter and solving cutting problem. Keywords: Tool selection, expert system, modularization, process optimization. piece, cutting tools, operation sequence, processing been developed to select tools and cutting parameters for the selecting process of the cutting tool type and material. The knowledge of cutting process expert system mainly characteristics and cutting tools in machining process are components, cutting tools and machining process are also selecting tool type; optimizing cutting conditions and solving Modularized Cutting Tool Selection Expert System The Open Mechanical Engineering Journal, 2014, Volume 8 897 Modularized Cutting Tool Selection Expert System The Open Mechanical Engineering Journal, 2014, Volume 8 897 Modularized Cutting Tool Selection Expert System The Open Mechanical Engineering Journal, 2014, Volume 8 897 work_43nmngcsd5hjzjny3wjgodmwf4 In most decision making activities the manager has to decide which variant is the most role of multicriterial methods in programming expert systems to decide in favor of the most prenegotiation stage, for a company, in order to organize the negotiation processes accordingly. In this respect, we tried to highlight the usefulness of multicriterial mathematical methods in three negotiation processes of a Romanian negotiation team with foreign negotiation Keywords: Business Decision Making, Expert Systems, Multicriterial Methods business decision-making often requires collaboration across time zones, organizations In almost all multi-attribute decision problems there is information regarding the importance of each criterion. Methods which use the distance select a variant which is the closest to the ideal solution. Fig. 3: Results calculated by the Expert System with the simple additive weight method Results calculated by the Expert System with the TOPSIS method Lalith Kumar, Business Decision Making, Management and Information Technology, Available at: work_43tkopwxz5giffwdwgogqhn3xq relies on a layered structure consisting of a machine learning algorithm, a risk management manages risk in an intelligent manner so that it protects past gains and avoids losses by restraining or even shutting down trading activity in times of high uncertainty. dynamically optimizes the global trading performance in terms of a trader''s risk preferences by automatically tuning the system''s hyper-parameters. machine-learning algorithm, the risk and performance management layer and the dynamic optimization the parameter δ will influence the performance and risk profile of the resulting trading We also improved the performance of the RRL trading model by implementing a better position updating scheme. A higher risk aversion parameter ν induces the optimization to find a performance profile trading system becomes less risky as the risk aversion parameter in the layer 3 optimization is increased. risk aversions of the trading system with and without Layer 3 activated. work_45zfpdeutjfite47n32bqpobra in discovering domestic violence intelligence from a dataset of unstructured police reports filed with the Keywords: Formal Concept Analysis (FCA), domestic violence, knowledge discovery in databases, text nature of domestic violence, being able to swiftly recognise suspicious cases and label reports application of FCA for exploratory analysis of domestic violence cases using this dataset. non-domestic violence, it is sent back to the police officer responsible for the case, who is obliged to expert''s prior knowledge of the problem area, the police reports contained in the dataset and the terms Of these 4738 cases 1734 were classified as domestic violence by police officers. police officers to cases, to the vagueness of the domestic violence definition and to the lack of a highWe based our initial lattice on the domestic violence definition, by clustering the terms contained Reports that were assigned the label " domestic violence" have been classified as such by police officers. work_46baihgfgfdi7ms3f2zcfabmu4 From expert systems to context-based intelligent coming generation of context-based intelligent assistant systems. (context-based intelligent assistant systems) requires a radically different consideration on context tool for representing in a uniform way pieces of knowledge, of reasoning, and of contexts. The role played by context between procedure and practice in real-world applications is, in my problem solving, the ability to follow each others reasoning, the capability of exchanging explanations, the capability to acquire incrementally new knowledge and learn new practices from the contextual knowledge is proceduralized and in the meantime, operators postpone actions in The proceduralized context corresponds to the needed knowledge 6 The time of context-based intelligent assistant systems explicit allows us to use knowledge in its context of use, to capture variants in the reasoning (e.g. recording practices effectively developed by operators), to generate relevant explanations. knowledge and reasoning in context. knowledge and reasoning in context. work_46wtlsghvvcntlousxuj3tstfm concepts: (1) minimize users'' inputs (a typical interaction metaphor for mobile devices) for implicit browsing behaviors to be best utilized; (2) implicit browsing behaviors are then analyzed with a view to understanding the users'' interests in the values of features of advertisements; (3) having understood the users'' interests, Mobile Ads relevant to a designated location are subsequently scored and ranked; (4) Top-N scored Keywords: Mobile commerce; Mobile advertising; Neural Network; Sensitivity; Analysis; Information filtering; Recommender systems are representing Mobile Ads, learning users'' profiles, and Neural Network sensitivity analysis) learns users'' profiles representing advertised activity Mobile Ads and users'' remains for the recommendation mechanism is the description of the task of learning users'' profiles from implicit recommendations from the learned user profiles and Mobile measurements (used in evaluating MALCR''s recommendation mechanism), Averaged ScoreU Growth, Instance work_4e2xp7dgsrfatbouk5aoymocqi applied Support Vector Regression (SVR) for response modeling to predict total results of a direct marketing dataset in terms of model fit, training time complexity Key words: Response Modeling, Direct Marketing, Support vector machines; As the number of training patterns increases, SVR training takes much longer with a time complexity of O(N 3) where N denotes the In this paper, we applied SVR for response modeling to predict total amount after predicting respondents by a classification response model, a regression SVR is moved around to include training patterns inside ε-insensitive tube SVR trains patterns based on ε-loss function foundation. 7. Train final SVR with s selected patterns pattern selection (SVR-PS) while the lines with boxes presents the results of selected patterns was up to 40%, which resulted only 5 dollars'' gap, SVR-PS setting, the response model predicted the dollar amount to each test customer. Kim, D., Cho, S., 2006.ε-tube based Pattern Selection for Support Vector work_4fmqd4q7pfb7nclr5zelrvwsja Distinguishing between objects and materials of different compressibility, temperature and texture can be achieved by performing complex manipulation tasks of the object by quickly identifying the physical nature of the material (e.g. metal, wood, plastic etc.) through completing a small number of initial We use an artificial fingertip to acquire data relating to the thermal properties and surface texture of materials, that are first analysed to initially its thermal properties may help to distinguish between very different materials which have similar compressibility, leading to improved classification assessed the ability of their sensors to classify between three different materials (denim, a photo and tape) based on their surface texture. with dimensionality-reduced mean values of filtered data, achieving a classification accuracy of material and object identification of over 97%. This approach utilises the multi-class SVM classification algorithm explained in Section 3.4.1 to firstly classify the materials into A hybrid approach of the SVM classifier for material group classification work_4h5iqpocibetdhutakf4nxpl3q work_4hioebfyd5dapocfnau6ybwyha people assistance and safety through intelligent monitoring people assistance and safety through intelligent monitoring people assistance and safety through intelligent monitoring events or actions previously defined (Rivas, Martínez-Tomás point of view, these systems are based on distributed processing capabilities and the use of embedded signal processing present in modern intelligent monitoring systems (Micheloni The proposal on ''Human Activity Recognition based on Kinematic Another paper, ''Human Action Recognition with Sparse Classification and Multiple View Learning'' Sensor'' (Fernandez-Luque et al., 2014) introduces an Ambient Assisted Living system that allows inferring a potential topic models, Expert Systems, Special issue on "Intelligent Human action recognition with sparse classification and multiple view learning, Expert Systems, Special issue on "Intelligent with capacitive occupancy sensor, Expert Systems, Special issue on "Intelligent Monitoring for People Assistance and (2014) Human activity recognition based on kinematic features, Expert Systems, Special issue on "Intelligent Monitoring for Expert Systems, Special issue on "Intelligent Monitoring for work_4i55a2fyfnerfnvoanvfber6by Computer systems to facilitating organizational learning: IT and organizational context Unlike previous research, this study investigates the role of computer systems, i.e. organizational learning computer systems (OLCS), in facilitating organizational learning. the impact of OLCS on organizational learning. Both ''problem characteristic'' and ''organizational culture'' moderate the influence of OLCS on organizational learning. A comprehensive framework concerning organizational learning has been proposed by Huber (1991). However, other researchers criticized that Huber''s framework did not examine the role of computer systems for computer systems on facilitating organizational learning computer systems on facilitating organizational learning on the effect of adopting OLCS to facilitate organizational problem-solution exchanges and consequences were communicated and known by other organizational members form of organizational memory storing problem-solution effect of OLCS on organizational learning processes. OLCS and organizational learning. OLCS on organizational learning, we therefore conducted between OLCS and the organizational learning process. between OLCS and the organizational learning process. work_4iiwswkqhnbwvipp45zsv6kbka provided that uses latent semantic indexing (LSI) for the identification of weak signals. identifies and analyses weak signals to predict trends in the field of on-site medical oxygen organizations to identify weak signals from the internet for a given hypothesis. Key Words: Weak Signal, Ansoff, Latent semantic indexing, SVD, Web Mining. document contains a textual pattern that represents a weak signal (Uskali, 2005). text access to information in the internet is necessary to identify these weak signals. might be that two textual patterns representing weak signals are related to a specific topic The weak signals are identified based on the topic described in this hypothesis. semantic textual patterns representing weak signals from the internet. Our proposed weak signal maximization approach identifies the value of k where the number of weak signals represented by low frequently occurred semantic textual patterns with a The second weak signal based on a small number of impacted documents (2.3%) and it work_4iou6ghsc5hgzi7fvogqcu63pm In this paper, a shell fitting space (SFS) is presented to map non-linearly separable data to linearly separable ones. A linear or quadratic transformation maps data into a new space for better classification, if a linear support vector machine (SVM) multi-class classifier is applied to classify the learn data. where / is a function that depends on distance of data to each pattern''s fitted curve, hyperplane or surrounded cortex or (shell). network-based methods like adaptive neural-fuzzy inference system (ANFIS) for this purpose. support vector data description (SVDD) are examples of the boundary methods (Tax & Duin, 2004; Ypma et al., 1998). Our proposed method is applied to a data series in 2-dimensional space (two classes with two features) and the results are calculated the distance of each data in the dataset to circles fitted Curves have been fitted to data sets of two classes and the result of work_4ivtz7u4tbc4thdfcolusvzlzq In recent years there has been considerable interest in the possibility of building complex problem solving systems as groups of cooperating experts. This has led us to develop a multiagent expert systems capable to run on servers that can support a large group of users The society of agents in our system consists of expert systems agents (diagnosis agents, and a treatment agent) working on the user interface agent who employs an intelligent data collector, so-called communication model in KADS, working on the client sides. diagnosis expert systems into a multi-agent system. Experiments on a set of test cases from real agricultural expert systems were preformed. The expert systems agents are implemented in Knowledge Representation Object Language (KROL) and JAVA languages using KADS implementing expert systems as multi-agents that perform The user interface agent provides access to the expert disorders, the user interface agent calls the treatment work_4jkq3wam25a6lnvvdjedgrfube it is required that the input data be static and reliable and that the solution space be small enough to Case 1—Small search space with reliable knowledge and data following is an example of a rule from MYCIN''S knowledge base. models of complete DNA structures given data about pieces (called segments) data correction rules incorporate more elaborate reasoning by modeling predictable instrument error such as failure to resolve measurements which are too solving particular problems; the space of possible plans is the set of all of the fixed amount of problem-solving knowledge about criticality levels and topdown generation is sufficient. approach uses more information to control the problem-solving process than For a problem solver to revise its beliefs in response to new knowledge, it must reason about dependencies among its current set of beliefs. reduce the cycle time of problem solvers and will become increasingly important in future expert systems with large knowledge bases. work_4jkqyhqrdfgr3irbnnknpv4lli Parametric-Based Path Generation for Automated Vehicles at Roundabouts Parametric-Based Path Generation for Automated Vehicles at Roundabouts presents a path planning method for automated vehicle driving at roundabouts. Keywords: Roundabouts, automated vehicles, path planning, intelligent transportation systems. From a classification point of view, a roundabout-dedicated Federal Highway Administration (FHWA) Technical Summary (Rodegerdts et al., 2010) divided them according to the size and number of lanes having: 1) Miniroundabouts–a type of intersection that can be used at physically-constrained locations in place of stop-controlled or • G1 continuous roundabout entrance and exit by using an improved generation of the parametric control points. • Real time path generation considering two-lane roundabouts, including lane-change and taking different exits. automated roundabout algorithm will be described in section III, based on the path generation and the curve generation roundabout driving for the planning and control point of view, identifying three stages entrance, circulatory roadway work_4l5buqbcubck7bnoj55k4ib7xu work_4lo326pejbdlzbws57oadv4af4 Applied Marketing Research Group Bristol Group for Water Research Bristol Inter-disciplinary Group for Education Research Centre for Architecture and Built Environment Research Centre for Fine Print Research Centre for Health and Clinical Research Computer Science Research Centre Digital Cultures Research Centre Environmental Law and Sustainability Research Group Psychological Sciences Research Group Research Group in Mathematics and its Applications Social Science Research Group Polatidis, Nikolaos; Georgiadis, Christos K.; Pimenidis, Elias; Mouratidis, Haralambos In addition, the user ratings utilized in collaborative filtering systems to recommend products or services must be protected. This paper proposes a multi-level privacy-preserving method for collaborative filtering systems by perturbing each rating before it is submitted to the server. Keywords collaborative filtering, random perturbations, multi-level privacy, recommender systems UWE Bristol Research Repository Powered by Worktribe | About UWE Bristol Research Repository Research Centres/Groups Research Centres/Groups Research Centres/Groups HAS Dept of Health & Social Sciences RBI Research & Business Enterprise Service work_4lud4hjutngljgcvc6bm2ewc2e work_4nanuojsqzczdmswysyxmurysu Designing an Expert System for Online Grocery Shopping Store In this digital era consumers prefer online shopping to save time. • User must go to shop and order products. For grocery shopping, consumer preferences could be much a specific consumer likes a product can be as "product replenishment." Note that consumable consumer to buy a specific product. In simple words, data mapping is the process of mapping data fields from a source file to their related process, data mapping can be complex and timeconsuming. Semi-Automated Data Mapping--in our application we have used Semi-Automated Data Mapping and access the data in a database.Indexes are created in to purchase products, the information manager references to the location where the data is actually actual data here(information on each page of the book) reference(contents page) to where the data points online consumer base. Online grocery services meet a number of consumer work_4vomlmdu4rhxdouiiiukxac2fy Multi-Robot Path Planning using Co-Evolutionary Genetic Programming Multi-Robot Path Planning using Co-Evolutionary Genetic Kala (2012) Multi-Robot Path Planning using Co-Evolutionary Genetic Programming, Expert Abstract: Motion planning for multiple mobile robots must ensure the optimality of the path of each and Grammar based Genetic Programming for figuring the optimal path in a maze-like map, while a master robots'' evolutionary algorithms ensures generation of overall optimal paths. Keywords: Path Planning, Motion Planning, Mobile Robotics, Genetic Programming, Grammatical In this paper we first present a co-evolutionary genetic programming based planning of multiple robots. These all try to generate and optimize the paths of the individual robots. The slave genetic programming operates at the level of individual robots for the generation of their paths, Figure 2: Conversion of a genetic programming genotype to robotic path phenotype. While the slave genetic programming does the task of generation of good paths for the individual robot, work_4wbxt34ucbeb7ju7vmmvb5zvcy Apart from facilitating the process of information search in the Semantic Web, ontology also provides a method that will construction that will support the present information classification system, as well as to upgrade the ontological aspect of the Semantic Web. q 2005 Elsevier Ltd. All rights reserved. Keywords: Ontology; Semantic Web; Information classification; Formal concept analysis Semantic Web. Based on this concept, ontology and intelligent agents constitute the foundations of the Semantic Web. Ontology is made capable to ''describe metadata'' in order to suggests the setting up of ontology that will represent Web data Up until the present times, extensive and general construction methods are not found within the domain of ontology establishment of conceptual hierarchy is based on related terms Formal concept analysis (FCA) is a method for data hierarchy relationships for different concepts is required in ontological construction method used in this research was work_4xw647c65jdk3bdu6iyboysxwi This program, a production system based on a Hearsay II architecture (Nii, 1986), illustrates a number of techniques, including program modularity, complex data structures, and simulated parallelism using operating system concepts. Lerdahl and Jackendoff (1983) formalized in A Generative Theory of Tonal Music (GTTM). global data structure called the blackboard; (2) a set of analysis of the piece, including levels for grouping information, metric information, and tonality information, and called event nodes, contains only one piece of information about the piece: the offset (time) from the beginning containing actual note information, as well as to the grouping and metric representations. Note that the event nodes themselves contain no score a note node contains a set of pointers that link it to other a piece of music and builds the notochord data structure with the linked note lists to represent the piece. boundary between two notes, a grouping node is created work_4y7xmob74fe2rije7yanywi3se In reading research the basic comparison is between good Comparisons between variables defined as input, or causal,'' and output or dependent, led to prescriptions for change in inexpert schools to make them more like the latter study raised the problem of little experimental verification for effectiveness research. the First Grade Reading Group Study (Anderson, Evertson & Brophy, text reading level (third grade), it is part of a chain of research related to automaticity (Laberge & Samuels, 1974) which is For example, Baldwin & Coady (1978) compared fifth graders and college students on their use of punctuation as clues to meaning in isolated sentences. the educational research methodology literature from Campbell & Naturalistic research on expert-novice differences in reading is limited by selection, ie. grade reading group study: Technical report of experimental effects and process-outcome relationships, Report No. 4071. Experts and novices: A study of reading in effective schools: A cautionary note.Educational Researcher, work_4yughouq2bh3zcgpjvvfv7yykq To cite this article: P N Mishra, S K Kak & S C Srivastava (2001) An Expert System for LD Steel grade of input materials; varying operating conditions, random parameters and their values; the interventions of an expert and skilled operator is necessary to tackle the complex situation. control capabilities, but also emulates operator''s expertise in terms of his knowledge and skill. Indexing terms: Expert system, LD steelmaking, Process control, Charge calculations, Materials L D process of steelmaking accounts for 70% of steel production throughout the. Various expert operators of leading steel plants of In the development process of this expert system we knowledge based reasoning, dynamic process modeling KNOWLEDGE BASED CHARGE CALCULATION The knowledge based charge calculation module is the base such that if the desired composition of steel to be I. S N Singh, P N Mishra & L N Das, PC based process control instrumentation, CSIO Communication, India, vol 16, work_52lkxy2ltjhd3lqw7ty7jqfqce A Prototype Student Advising Expert System Supported with an Object-Oriented Database A Prototype Student Advising Expert System research is to develop a prototype student advising expert system and helps students in course selection for each academic of academic regulations and expert advising knowledge and allow each student to register from three to six courses per students in selecting courses based on their preferences as will on courses selected by all students the timing of lectures will be number of courses that can be registered by a student (usually: preferred number of courses that the student is willing to If: The student''s course preference keyword is developmental advising (option ''Student''s Preferences'' in Fig. Courses is generated as following: (a) Students with AGPA to the student the list of allowable courses (Fig. 11). In this research a prototype expert system with an objectoriented database for student academic advising has been work_52lz7we3xfbxronrfdabeljndu sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 221022341 (wp-p1m-38.ebi.ac.uk) Time: 2021/04/06 03:06:12 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_53aiurken5bufdu5lhgrn6m7uy Defining Preventive Action For Improvement Business Process Performances By Using Expert Abstract:This paper present own approach for improvement business process performances through improvement in area of quality management system by using expert system. way it is defining own approach of analogy between quality nonconformity or anomalies in quality management system. Key words: Expert system, improvement, preventive action identified areas of ISO 9001 and to present system with implemented quality management of this paper are certified quality management perform all functions provided by ISO 9001 requirement of ISO 9001 model or area • knowledge of one expert from area of management of quality and business worl organization in area of quality organisation in Montenegro in area of quality preventive action for improvement in area of Quality Management Journal. firm performance?, Journal of Quality Management, Vol 2., No1, pp.67-86, 1997. [29] Tricker R., "Best Practice ISO 9001:2000 The Quality Management Process", Van Haren work_57lmsnappjfstksrbmb66iisiu Negotiation is commonly required to reach a final contractual agreement in construction material procurement. negotiate to finalize the bid, and value the individual characteristics of negotiating parties would be useful to both contractors and suppliers. This study examines common negotiable issues and options for construction material procurement, and presents an agent-based system, agreement for all parties, and web-based development is used to improve negotiation efficiency. improvement should increase for more complex negotiation problems involving more issues and options, or complicated preferences and for Keywords: Genetic algorithm; Intelligent agent; Procurement negotiation; E-commerce application options for the negotiable issues, and the supplier proposes a hand, supplier payoff is of type III or IV for issue payment Price negotiation space for contractor and suppliers. agents by setting payoff functions for each negotiable issue. a list of options for each negotiable issue j of offer i: for initiating negotiable issues and options, and payoff work_57ykd43wibaffamofsstokmdy4 ESforRPD2: Expert System for Rice Plant Disease Diagnosis of knowledge of farmers on early symptoms of rice plant diseases. Data of rice plant pests and diseases in 2016 were taken from Samarinda, East The Expert System for Rice Plant Disease Diagnosis, This Expert System can detect 48 symptoms and 8 types of diseases of rice Expert System, Rice Plant Disease, Waterfall, Unified Modelling Language How to cite this article: ESforRPD2: Expert System for Rice Plant Disease Diagnosis Correct diagnosis of symptoms in rice plant diseases, caused by Rice Plant Disease Diagnosis (ESforRPD2) is available at: http:// Users use a consultation page to choose the symptoms of the rice plant. Agus F, Ihsan M, Khairina DM, et al.: Dataset for rice plant diseases expert Zenodo: Knowledge base for rice plant disease diagnosis, https:// Zenodo: Dataset for rice plant diseases expert interview, http:// The author applied Expert System (ES) for rice plant disease and diagnosis; the background information work_5bftzq2t35edjgifosexdmf6t4 Schaeffer''s sign language consists of a reduced set of gestures designed Schaeffer''s gesture language uses the information provided by an RGBrecognize a subset of 11 gestures of Schaeffer''s sign language online was In the case of children with autism, aided communication systems from low (pictures) to high tech (speech devices), have been able to show the user examples of the correct way to make the gestures, combined with speech reproduction of the described concept. gestures in order to test its performance and its impact on children learning. Research on hand gesture falls within the behavioural analysis of interactions. which examine the gesture features, such as hand position or point cloud centroids, and it is able to discard some classes. Schaeffer''s gesture language detection and learning using Kinect v2. use case of the system is providing a tool to help children with autism to communicate with gestures and speech. work_5c6x6vtjqrg2jmbpbikwekbpta This work presents an evolutionary approach to modify the voting system of the k-nearest neighbours (kNN) rule we called Our approach results in a real-valued vector which provides the optimal relative con-tribution of the k-nearest The main goal of a weighting system lies in the optimization (comonly by metaheuristics) of a set of weights in the training step to obain the highest accuracy but trying not to overfit the resulting model. hey considered a weight by feature and instance on training data reulting in a non-viable number of parameters in the learning process. possible better suitability of evolutionary computation for the optimization of the neighbours weights. the elements of the two versions of the evolutionary algorithm designed to weight the vote system of the kNN. he instances from TR, the fitness function was based on a crossalidation error rate by using kNN and the weighted voting system. weight features or instances but the influence of each of the k nearest neighbours. work_5de6wpiw7zhctcpenowyonn4sm In this paper, we present a domain-dependent heuristically guided planner for obtaining the optimized reshuffling containers in a yard-bay in order to minimize the number of reshuffles as well as to be used for simulation tasks and Keywords: Planning, Heuristics, Optimizing, Container Stacking Problem In addition, there exist a set of hard/soft constraints regarding the container locations, for example, small differences in height of adjacent yard-bays, dangerous containers Each yard-bay contains several (usually 6) rows. When a container arrives at the terminal port, a transfer crane picks it up and stacks it in a yard-bay. stacking problem the goal state is not defined as accurately, so many different layouts can be a solution we want to obtain a layout where it is minimized the distance of the goal containers to this side of the yard-bay. in a yard-bay and s is the number of selected containers work_5fgifeevezgirlwhykdwka2s4a 4. Perform supervised learning with threefolds cross validation on original and linear regression transformed uric acid measurements in different FIGURE 3 Accuracies (in percent) and runtime (in seconds) of supervised learning with 10-fold cross validation on original data set using neural FIGURE 5 Accuracies (in percent) and runtime (in seconds) of supervised learning with threefold cross validation on original data set using FIGURE 5 Accuracies (in percent) and runtime (in seconds) of supervised learning with threefold cross validation on original data set using FIGURE 5 Accuracies (in percent) and runtime (in seconds) of supervised learning with threefold cross validation on original data set using FIGURE 8 Accuracies (in percent) and runtime (in seconds) of supervised learning with threefold cross validation on data set with linear FIGURE 8 Accuracies (in percent) and runtime (in seconds) of supervised learning with threefold cross validation on data set with linear work_5fiiil2k3jagvoabh3rwcw3i6e In this paper, we will discuss the interface between expert systems and laboratory robotics. expert systems technology the problem domain structures in the data base increases, an expert system can become difficult to modify, hard to debug Expert Systems for Data Management The fundamental idea is that a data base is represented as a collection of executable statements The PROLOG definitions and data base entries for a small no program statements other than the data base. Methods Development Using Expert Systems and Robotics is the attribute of the data that minimizes the number of branches from the root. From these data, the algorithm outputs the information tree shown in figure 4. The goal of this research is the creation of the Analytical Director, an intelligent laboratory robotics PROLOG data base example. PROLOG data base example. PROLOG data base interrogation examples. Analytical Data to Build Expert Systems, submitted, J. work_5i2amsy5abfjnectpyizxhpmfy side the tagging activity, as stressed by the focus groups participants, is part of the educational processes and promotes the linguistic reflection of the students over the site contents; on the other, tags In this paper we describe and evaluate the tag recommendation system of 150 Digit as a method to improve the contribution of the social semantic components in executable environments designed for attempt to extract ontologies from user-generated folksonomies; finally, promising attempts have been made to exploit tags in order to user tags, and use this ontology to improve recommendations by In 150 Digit, the recommendations provided by the system rely on a semantic categorization of the contents, with the aim of integrating the social component with the institutional perspective conveyed by the curators in Only front-end users were considered for social functionalities (content generation and tagging), while for the semantic the other one mixes user-generated tags and semantic recommendations. work_5kks6ebnnbfdhpdqj4inpbgo6e We thus obtain knowledge classes that describe very precisely normal train behavior and also provide us with essential The data resulting from sensors for train maintenance is complex for the two following reasons: (i) very often errors and noisy Note that the numerical values collected by the sensors are then discretized to obtain a set of data more suited to Data collected from a train constitutes a list of readings describing its behavior over time. In this section, we focus on the data mining step in the knowledge discovery process and more precisely on the extraction of patterns characterizing normal behavior. a data sequence as normal or abnormal, but provides also very precise information about the anomaly detected: the localization of Anomaly detection in monitoring sensor data for preventive maintenance Anomaly detection in monitoring sensor data for preventive maintenance Anomaly detection in monitoring sensor data for preventive maintenance work_5mo3nifidfctpcvtbeobiho6ki sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 221004241 (wp-p1m-39.ebi.ac.uk) Time: 2021/04/06 03:05:50 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_5nuvugk7enet7cebmlc4yjulxq The history and achievements of fuzzy set theory (FST) are considered in relation to It is suggested that FST and ESs are not just mathematical and technological advances but also represent major paradigm shifts in system theory. generates, then that of fuzzy set theory (FST) must be rated very highly. with control systems based on FST. It has generated a new industry based on creating expert systems to make the practical Gaines [7] reported positive results with an adaptive threshold logic learning controller using a crude priming technique to Rule from fuzzy logic controller In parallel with the controller development, other rule-based ESs were being were initially unaware of FST and the linguistic controller developers were knowledge engineering tools based on an FST model of personal construct After two decades of fuzzy set theory, with the development of mathematical rule-based control of industrial processes, in Fuzzy Sets and Decision Analysis (H. work_5pmq7rfw4bdkncq5sdteafpdiu In this paper, a hierarchical monocular camera auto-calibration method is presented for applications in The objective is to obtain the camera parameters without any restriction in terms of constraints or the need of prior knowledge, to deal with most traffic scenarios and possible configurations. Caprile and Torre (1990), developed a new method for camera calibration using simple properties of vanishing points. the three vanishing points by studying three orthogonal components with parallel lines in the moving objects or their motion patterns. auto-calibration method, based on vanishing points, and the hierarchical system proposed. The camera model used and the equations to obtain the calibration parameters from orthogonal vanishing points are described in This section presents the proposed method to extract the vanishing points from the image through a hierarchical process. is divided into the following steps: pedestrian detection with vertical component extraction, scene analysis and vanishing point work_5pqm2k3m6rdqpf2t7c7shx2ziq A b s t r a c t T h e use o f support pairs associated with the facts and rules o f a knowledge base o f an expert probabilistic interpretation, necessary for support logic programming, is given below. o f Fril is consistent with probability theory and this supposes that all propositions are true or false, vote "yes" for a given size would represent the necessary support for it being a large committee. since probabilities are contained within intervals determined by the support pairs. A fuzzy subset f with respect to the set F is defined by means o f a membership function P vote on whether to accept or reject the membership o f a given element e o f set F as belonging interpretation uses is t h a t a person who votes for an element h in the set F with membership value work_5q5kihz46jaevgqzflwcshzajm This paper surveys the application of data mining to traditional educational systems, particular web-based courses, well-known learning content management systems, and adaptive and intelligent web-based educational systems. After preprocessing the available data in each case, data mining techniques can be applied: statistics and visualization; clustering, classification and outlier detection; association rule mining and pattern mining; and text mining. there is a growing interest in the automatic analysis of learner interaction data with web-based learning environments Some specific educational data mining, statistics and visualization tools of the first articles about the use of data mining in education to understand the student enrollment was written by These web-based education systems can normally record the student''s accesses in web logs that provide (Li & Zaı̈ane, 2004): offline web mining, that is used to discover patterns and other useful information to help educators to validate the learning models and restructure the web work_5ra3eporv5glfexqgreko6dnzy So minimum load shedding for under-frequency is needed which is the main Under frequency , Load shedding , Power systems, Expert system , Minimum The problem of under-frequency and load shedding has been studied for many Generally, load-shedding design depends mainly on the frequency responses of the Frequency Response and Load Shedding Results about 59.5Hz [5], let the first step of load shedding frequency is set at 59.5 Hz. Table 3, illustrates the frequency response after load shedding in four equal steps Plan 2: As shown in Table4, it consists of six load shedding steps of unequal size, for load shedding before the frequency can decay to a hazardous level, expert system is load shedding with frequency response program is used to simulate the power Frequency Load Shedding Relays", IEEE Trans. Table2 Minimum load shedding and frequency settings of plant Table 4 Minimum load shedding and frequency settings of plan2. work_5rzbrjfjkvdyhidl7nbgqjrpi4 Earthquake Prediction Using Expert Systems: A Systematic Mapping Study Keywords: Expert systems; Systematic Mapping Study (SMS), earthquake prediction; seismic data; of the expert systems given in multiple articles for earthquake prediction. articles have used machine learning for earthquake prediction and 12% of the studies have used other Approach: Mod: Model, Met: Method, Gle: Guideline, FW: Framework; Target Area: RL: Regional, GL: Global; Proposed ES type: Ml: Machine learning, FES: Fuzzy expert system, NFES: In this mapping study, main techniques used for earthquake prediction including rule-based, earthquake prediction including machine learning, neuro-fuzzy, fuzzy and rule-based approaches earthquake prediction including machine learning, neuro-fuzzy, fuzzy and rule-based approaches from multiple seismic zones to make earthquake predictions and 32% have presented the case studies In this mapping study, main techniques used for earthquake prediction including rule-based, fuzzy, machine learning data-sets for earthquake prediction based on seismic-acoustic signals from stations work_5tcfhjy3nvfqpg7ip4bhhly63i This study analyses the technical efficiency of Arabian banks using a DEA-Data Envelopment analyse the technical efficiency of Saudi Arabian banks, a richer leading oil country that aims to efficiency of Saudi Arabia with a simultaneous two-stage DEA bootstrap model. Data Envelopment Analysis (DEA) is used to estimate the relative efficiency scores ranking banks The present study analyses the technical efficiency of Saudi Arabian banks with a two-stage DEA model, where in the first stage the technical efficiency is bootstrapped (Charnes et al., 1978) and two stage DEA bootstrap model for Saudi banking. DEA is used in the first stage for estimating the technical efficiency of Arabic banks. The VRS technical efficiency estimates the different Arabic banks, obtained from 2000 The results clearly indicate that the average efficiency score of Saudi banks has increased This study has analysed the technical efficiency of Saudi Arabian banks from 1999 to 2007 by work_5vqe5iapgfam3egdt4zhjfgrdi The presence of bias in existing object recognition datasets is now a well-known problem in the computer Efros (2011) raised an important question – ''''how well does a typical object detector trained on one dataset generalize when tested on critical as it causes one object representation and recognition algorithm will only work well in the specific dataset that one choose to features for an object class that are generalized across all datasets. proposing Keybook generation with the aim to discover the keywords from codebook that learned from the different datasets. In general, keywords are the visual features that significantly represent the respective object classes. The collected Keybook that is generalized over the datasets will greatly enhance the object recognition the domain bias problem will deteriorate the overall object recognition system performance, especially when the trained model is a framework that undo the domain bias thru finding the most significant features of an object class which are generalized across all work_5vwgkea44rbdzmzx5o2wmh3qai In our method, we create a conceptaware representation that contains a good coverage of relevant topics from the domain. we present a method that harnesses the developed background knowledge to augment the representation of learning resources in order to improve e-Learning recommendation. We refine our method presented in (Mbipom et al., 2016) to generate a richer and focused set of domain concepts. so that we can generate a richer set of relevant topics that provide a good coverage of the learning domain. this knowledge for representing learning resources, we expect to retrieve documents based on the doWe expect the representation created using the CONCEPTBASED+ method to contain a better coverage of the learning domain because of the richer concepts For recommendation using CONCEPTBASED+, we use the same representation and document similarity as the CONCEPTBASED method illustrated in Figures 4 & 5, but with a richer concept work_5xpfvjtqk5bbfefatdohgjss3a Real-time credit card fraud detection using computational intelligence Real-time credit card fraud detection using computational intelligence This has made it easier for fraudsters to indulge in new and abstruse ways of committing credit card fraud This paper focuses on real-time fraud detection and presents a new and innovative approach in understanding spending In order to understand the severity of credit card fraud, Credit card fraud involves illegal Its only after several days that the merchant and card owners realize about the fraud. Fraud detection techniques involving sophisticated screening of transactions to tracking customer behaviour and Systems (AVS), Card Verification Method (CVM), Personal Identification Number (PIN) and Biometrics. transaction screening and review and the losses due to fraudulent cases. Analyses show that review of only 2.0% of transactions can result in reducing fraud losses accounting to 1.0% 2. Neural networks in fraud detection – literature review work_5xv3i4veezb63kw7jpg2ahioku By defining an interval-valued dominance relation on a condition attribute, a rough set model and attribute reduction are Furthermore, knowledge reductions of consistent and inconsistent interval-valued dominance decision information systems are studied, Subsequently, some descriptive theorems of knowledge reduction are presented for interval-valued dominance decision Keywords: rough set, interval-valued dominance relation, knowledge reduction 3. Dominance-based rough set model over interval-valued defining an interval-valued dominance relation for intervalvalued information systems. Rough set model on interval-valued information systems In what follows, we give the rough set model for intervalvalued information systems. reduction of interval-valued dominance information systems. 4. Dominance-based knowledge reduction for intervalvalued decision information systems reduction for interval-valued decision information systems by the rough set theory based on interval-valued dominance by the rough set theory based on interval-valued dominance rough set theory over interval-valued information systems interval-valued dominance decision information systems, interval-valued dominance decision information systems, interval-valued dominance decision information systems, work_5ygoblmckzhlho4hus7dwkp4iy An artificial neural network (ANN) is a computational model − implemented as a computer program − that Artificial Neural Networks, ANN model calibration by global optimization, Lipschitz Global Optimizer An artificial neural network (ANN) is a computational model − implemented as a sequence of model output signals m=(m1, m2,…, mT) generated by the function a=a(x, s) related to global optimization models, algorithms and applications are presented e.g. in of an LGO implementation) in the ANN calibration context, by solving merely onedimensional, but non-trivial function approximation problems. • In all test problems the optimized function approximations are based on a set of all ANN model parameters, and set a limit for the global search steps (error function Figure 5 Function (12), and the list plot produced by the locally optimized ANN. Figure 6 Function (12), and the list plot produced by the globally optimized ANN. (2002) Global optimization: software, test problems, and applications. work_62sk5oo6zvc2faonatnepqu43u through PT travel time and city size, i.e. mean trip length. the first phase, it is recommended to select public transport travel time (tt), and the mean transport mode share upon the time spent outside vehicle (t1), as well as upon the mean dependence equations of specific transport mode share upon PT travel time (tt) were of survey of experts'' opinions with respect to relations in movement modal split in cities. defining scenarios of survey of experts'' opinions on relations in modal split are: PT travel Time spent in a vehicle (tr) is given for each city size (mean trip length). Scenarios Mean trip length (km) / Time outside vehicle (min) Lmean / t1 city size, (as a transport demand parameter) and for three values of time spent outside identical relations in modal split as time spent outside vehicle of 10 minutes, i.e. travel work_64dgu5uohbam5dywgp6ermitom Building and Testing the SHYSTER-MYCIN Hybrid Legal Expert System SHYSTER-MYCIN is a hybrid legal expert system created by combining rule-based and of an Act of a parliament; the SHYSTER part uses analogy to reason with cases that SHYSTER-MYCIN combines rule-based reasoning with case-based This hybrid system enables the case-based reasoner (SHYSTER) to determine opentextured concepts when required by the rule-based reasoner (MYCIN). defences originate from the Act.2 In Australian copyright law, cases provide examples of Aarnio explains [at page 79] the inability to generalise in law by an example of the localisation of any "rule": "If a person, then, has checked cases a, b, c and d and has stated that That approach was to provide the MYCIN part with a rule base drawn from provisions of the Copyright Act, with SHYSTER available to be called upon when an "open The method of testing SHYSTER-MYCIN provides evaluation of the model of legal reasoning. work_64wagicu2ncslhlep6cmcmqhly MARKETING PLANNING AND EXPERT SYSTEMS : MARKETING PLANNING AND EXPERT SYSTEMS : companies who have joined forces to produce an Expert Marketing Planning System, to build support systems in complex areas of marketing management, especially if the MARKETING PLANNING AND EXPERT SYSTEMS : AN EPISTEMOLOGY OF evaluate the impact that Expert Systems are likely to have on marketing have joined forces to produce an Expert Marketing Planning System, EXMAR, The problem to be addressed by Expert Systems in the marketing domain, then, out in 1987 to produce an Expert System in the domain of marketing planning, leading to the setting of marketing objectives and the formulation of plans for The model taken to represent the marketing planning process was the author''s nine user through the marketing planning process, offering advice at key stages, The result of this stage will be a set of revised product-in-market objectives Produce Strategic Marketing Plan for a Business Unit work_655yqr7luzbtva5htquwp75r6e easypublic.com - This website is for sale! - easy public Resources and Information. easypublic.com Buy this domain The domain easypublic.com may be for sale by its owner! This webpage was generated by the domain owner using Sedo Domain Parking. Disclaimer: Sedo maintains no relationship with third party advertisers. Reference to any specific service or trade mark is not controlled by Sedo nor does it constitute or imply its association, endorsement or recommendation. Privacy Policy work_65i36k6w6rbvlbd47zygz7n6ae dynamic user profile, modelling user behaviour, web personalization, ontology, multi-agent systems Personalization systems may rely on different knowledge bases to learn and model user profiles including taxonomies (Eirinaki et al., 2006; Mooney et al., 1998), flat databases (Wu et al., 2001) and ontologies techniques have been proposed to discover and recommend new items to users based on the modelled profiles, such as using content-based models (Liu et al., 2008; Mooney and Roy, 2000; Middleton et al., 2004), The multi-agent system handles the users'' browsing behaviour in general, and the change in their interests in particular and it consists of three layers to provide dynamic learning and adaptation: the session Figure 9: The accuracy results of applying the GEW algorithm on all web pages visited by all users with different α and γ values. Improving the mapping process in ontology-based user profiles for web personalization systems, work_65xfr2qt4zboda2elkpprp4zra the usefulness of an emotion-rich corpus of documents (e.g. tweets) to learn polarity lexicons for sentiment analysis. We propose two different methods that leverage a corpus of emotion-labelled tweets to learn word-polarity lexicons. Sentiment analysis concerns the computational study of natural language text (e.g. words, sentences and documents) in order to identify and effectively quantify its 1. We propose two different methods to generate sentiment lexicons from a corpus of emotion-labelled tweets by combining our prior work on domain-specific an emotion-labelled corpus of tweets to learn sentiment lexicons. emotion-labelled twitter corpus [37] in this study for generating sentiment lexicons. from a corpus of emotion labelled tweets using methods such as latent dirichlet allocation (LDA) can be used to learn emotion-aware sentiment lexicons. Emotion-aware polarity lexicons for Twitter sentiment analysis. Emotion-aware polarity lexicons for Twitter sentiment analysis. Emotion-aware polarity lexicons for Twitter sentiment analysis. Emotion-aware polarity lexicons for Twitter sentiment analysis. work_663xupkdkzhanoy2e2fbo7p2jm In this paper, we propose a new Artificial Immune System (AIS) based self-adaptive attribute weighting method for Naive Bayes classification. As a result, AISWNB can obtain good attribute weight values during the learning process. Keywords: Naive Bayes, Self-Adaptive, Attribute Weighting, Artificial Immune Systems, Evolutionary Computing Because weight values enforce attributes to play different roles in classification, the corresponding Weighted Naive Bayes (WNB) will help relax the conditional independence assumption and make NB efficient for data then propose a new method to automatically calculate optimal attribute weight values for WNB, by directly working on six image classification data sets (Li & Wang, 2008), demonstrate that the proposed artificial immune systems based weighting scheme for Naive Bayes classification (AISWNB) can successfully find optimal weight combinations for different learning tasks, and its performance consistently outperforms other to search optimal weight values for weighted naive Bayes classification, our method is related to attribute weighting in machine learning and AIS based evolutionary computation. work_66jumwpewnfhfbuvxt6k33exle approach, human experts are responsible f o r solving problems, whereas an inductive learning algorithm induction may generate knowledge that uses paths of restriction o f inductive learning on training examples can solving problems whereas inductive learning algorithms approach that allows a human expert to interact with a set This way, the expert''s knowledge is accumulated incrementally and the learning process can be repeated until elicit knowledge from a domain expert is described in Automatic methods that use machine-learning techniques to extract knowledge require less or no experts and inductive learning algorithms. experts) are stored in the rule set and tutorial cases The real world problem is to learn the rules that an expert rules or cases during the knowledge acquisition process. Interactive Induction o f Expert Knowledge 401 Interactive Induction o f Expert Knowledge 401 Interactive Induction o f Expert Knowledge 401 Interactive Induction o f Expert Knowledge 401 work_67pjqcjuqvgt5m6kqlcnfgkxae KD is a branch of the Artificial Intelligence (AI) field that aims to extract useful and understandable high-level knowledge from complex and/or large volumes of This special issue, entitled "Knowledge Discovery and Business Intelligence" This special issue consists of extended versions of papers from the 2nd KDBI workshop of the 15th Portuguese Conference on Artificial Intelligence (EPIA 2011) that the 2nd KDBI workshop and Expert Systems journal), and passed through two All these papers propose novel intelligent data analysis methods that are tested over real-world data and The work of [Oliveira and Gomes, 2013] discusses a novel method for the enrichment of thesaurus by including information acquired automatically from dictionaries. He is also researcher at the Intelligent Data Systems Scopus) publications in international journals (e.g., Expert Systems, Information Manuel Filipe Santos is Associate Professor at the Department of Information Systems, University of Minho, Portugal, and leader of the Intelligent Data Systems work_6bfvqtsj4bb4blfcoovfzbfgoi In this article, Natural Killer (NK) immune cells mechanisms inspired an AIS. DAMADICS benchmark was applied to compare the proposed AIS performance to others fault detection applications such as intrusion detection (Powers & He, 2008), optimization algorithms (Paquete & Stutzle, 2009), robust control (Guimaraes, Palhares, Campelo, & Igarashi, 2007) and others (DeCastro mechanisms (Lanier, 2008; Larrea, Alvarez, Soto, Vazquez, & Gonzalez, 2008; Luci & Tomasello, 2008) to enable AEM fault detection. This section describes Natural Killer cells recent immune literature and details key features that inspired the proposed AIS. negative and positive signals initiated after engagement of cell surface inhibitory and activating receptors (Raulet et al., 2001). It is important to mention the biological analogy with the algorithm using the ''''At least one'''' hypothesis and the ''''Zero sum model'''' for initiating the NK Cells receptors expression (Raulet et al., This paper has proposed and validated a novel Artificial Immune System (AIS) based approach for fault detection inspired work_6cljm6hxu5gz3nywbedzajaeaq People | The University of Edinburgh Schools & departments MyEd School of GeoSciences School of GeoSciences home Undergraduate degrees Postgraduate degrees New and Returning Students Who to Contact Current Research For Staff & Students FAQs for UG and PGT students (secured) GeoSciences People working in and with the School of GeoSciences Key Contacts One Page limit=20;pages=4; {{firstname}} {{surname}} {{building_info.building_name}} {{building_info.address3}} {{building_info.address3}} {{building_info.address3}} Contact details {{#if website}} Personal website Research Explorer publication list {{{research}}} {{{research}}} {{{research}}} {{{research}}} {{"title"}} {{"firstname"}} {{"surname"}} {{#if job}}{{job}}{{else}}{{job_title}}{{/if}} Single Page profiles/students/ {{title}} {{title}} {{#each people}} {{#each people}} {{#each people}} {{#each people}} {{#each people}} {{#each people}} Contact us Contact us The University of Edinburgh Website accessibility Freedom of information publication scheme MyEd login The University of Edinburgh is a charitable body, registered in Scotland, with registration number granted degree awarding powers. Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2021. CMS login work_6dybqb64nrdshp7ppfsruknp5y program consists of two steps: partially evaluating the metainterpreter with can be used to specialize a metainterpreter to a given object program in such a way metainterpreters can be combined, we have found a classification of their enhancements to an object program into structural, contextual, and behavioral to be imbued with the functionality of the combined metainterpreter via partial evaluation, resulting in an efficient object level program. ways in which a metainterpreter can enhance an object program. combining the metainterpreter with the object program and partially evaluating the combined program with respect to a given object goal. an evaluable goal is useful primarily for simplifying a program resulting from partial computing extra arguments while solving a given goal. object program: adding extra arguments to the proof of a given goal and affecting In general, a behavioral enhancement is any change to a metainterpreter which affects its proof of an object goal. work_6elfbs2jczduxf3rj3hx67c7be and in the formalism used to represent uncertainty, much of the medical knowledge required for building the belief network concerned could not be extracted from HEPAR. Keywords & Phrases: medical expert systems, belief networks, causal graphs, decision The sound mathematical basis and the expressiveness of the formalism of belief networks make it attractive to consider converting an existing rule-based expert Hepatology is a subspeciality of internal medicine which concerns the diagnosis and management of patients with disorders of the liver and biliary tract. Finally, the causal graph concerning Wilson''s disease was transformed into a belief network other HEPAR rules, namely the rules concerning portal hypertension, Wilson''s disease, primary biliary cirrhosis and autoimmune chronic hepatitis. We shall illustrate the process of probability assessment using information from medical literature, by discussing the belief network we obtained for Wilson''s disease in some detail. work_6fsgua7v2bf3bhu2cimvomab7m Multiobjective evolutionary algorithms for multivariable PI controller design. A multiobjective optimisation engineering design (MOED) methodology for useful technique for parametric controller tuning in multivariable processes. New PI-PID controller tuning techniques mainly search for a trade-off solution among several control and operational requirements. In an MOP, the designer (control engineer) has to deal with a list of requirements and searches for a solution with a desired trade-off (preferences) of MOO is presented; in Section 3 a multiobjective optimisation engineering design (MOED) methodology for multivariable PI controller tuning is A multiobjective optimisation engineering design (MOED) methodology is shown in Figure 4. 3. Multiobjective optimisation engineering design applied to multivariable PI controller tuning It defines a given value of the maximum sensitivity function as a design constraint Ms = max complicated to perform a practical analysis in the Pareto front approximation, or select a solution with a desired trade-off. Controller tuning using multiobjective optimisation algorithms: a work_6g4jvpdji5ao5czenrtajbs3mm Business strategies and index evaluations on communities of practice (CoPs) could be the prevailing way for group learning and innovation building within firms. handling, the purpose of this research is to use the fuzzy multi-criteria decision making (MCDM) method to analyze various index priorities and strategy preferences of CoPs, by undertaking empirical studies of Industrial Technology Research Institute (ITRI) in Taiwan. The findings of this paper can promote performance value of implementing knowledge management systems Keywords: Communities of practice (CoPs); Business Strategies; Fuzzy multi-criteria decision making (MCDM); Industrial Technology Research Institute CoPs simultaneously emphasizes storage and distribution of explicit and tacit knowledge, enhances member the four-business strategies of CoPs. This evaluation features two distinct stages. When evaluating business strategies of CoPs, many different aspects could be taken into consideration. As the tacit knowledge is transmitted in crossregions, CoPs has become the critical concept in design work_6h2k5norr5fhrjwguy5aqkmgti This paper presents two methods for recommending a roles'' facial appearance for a particular game The recommendation mechanism for the picture-input approach is based on the BP (back-propagation) neural network. the facial appearance of a role is very important to game design, this This study proposes two methods for automatically recommending attractive facial appearances of heroic roles to game players—in a customization manner. Secondly, game players evaluate the personality traits for each facial appearance. This mechanism uses the fuzzy AHP technique (Laarhoven & Pedrycz, 1983; Saaty, 1980; Shamsuzzaman, 2000; Zadeh, 1975). problem, we asked the game player to carry out a pairwise comparison experiment, and use a fuzzy AHP algorithm to process Thirdly, we use the relative weights to compute a recommendation-priority value to retrieve a hero face from the face-trait database for the game player. Salchenberger, Cinar, & Lash, 1992; Tam & Kiang, 1992). work_6hpkgpx7orhhpc2hu5ryelt3j4 2008; Mishne, 2006; Xu, Fu, Mao, & Su, 2006) propose to automatically suggest tags based on resource descriptions, which is In this paper, we propose two methods to estimate translation probabilities between words in descriptions and tags in An example of the word translation method for suggesting tags from a given methods, word alignment model and mutual information, to estimate the translation probabilities between words in description probabilities of a word given the description and perform tag suggestion in Section 4. Four important words (in bold face) in the book description in Table 1 and their corresponding tags with the highest translation probabilities in WAM. Four important words (in bold face) in the book description in Table 1 and their corresponding tags with the highest translation probabilities in MI. suggestion and propose two methods to estimate translation probabilities between words in descriptions and tags. work_6lnqupedgjfqpc2rrrox7k5aaa https://kclpure.kcl.ac.uk/portal/en/publications/expert-system-for-nutrition-care-process-of-older-adults(c98d37e3-a92f-4217-931b-98ce90fb5018).html Pop, Expert system for nutrition care process of older adults, Future This paper presents an expert system for a nutrition care process tailored for the specific needs of elders. knowledge is defined by nutritionists and encoded as Nutrition Care Process Ontology, and then used as underlining base and personalized intervention plans covering nutrition education, diet prescription and food ordering adapted to the older adult''s specific Keywords: Expert system, Nutrition care, Inference engine, Malnutrition, Ontology specific nutrition related problems in older adults as provided Table 2: SWRL rules for detecting older adult''s short term nutrition related un-healthy behaviors ontologies defined above: PIPS food, nutrition assessment and Figure 6: Evaluating the nutritional information of older adult''s daily food intake Table 8: Miguel nutrition assessment for daily food intake Expert System for Nutrition Care Process of Older Adults Expert System for Nutrition Care Process of Older Adults work_6mldueq24zfvdlyaui7qr3x7ym Verifying regional climate model results with web-based expert-system Verifying regional climate model results with web-based verification of model results with observation values. Verification results are shown as table and graphics on web-based system which is developed by the power of PHP (PHP: Keywords expert verification system; climate model; grid to point verification; regcm; grads values have been read through this file and the data of the stations were recorded in the database with the web-based [5] In this study, bilinear interpolation and nearest neighbor interpolation method is applied to obtain forecast data from output files Results; verification score for each station with the Turkey average, location of According to the technique of nearest neighbor interpolation; for the scores of 18 stations, RMSE values are interpolation method is applied to forecast data before verification. Aydın, A Real-Time Verification System Development Using Regional Climate Model Results. work_6mn6et62cjcqzfxjoxsjpa2xmi This section explains the Trust-Based Access Control model; trust metrics, fuzzyexpert systems design, TBAC-fuzzy framework and a crowd-sourcing scenario. The trust value of a worker is evaluated based on event performed by the A fuzzy expert system to Trust-Based Access Control in crowdsourcing environments A fuzzy expert system to Trust-Based Access Control in crowdsourcing environments A fuzzy expert system to Trust-Based Access Control in crowdsourcing environments A fuzzy expert system to Trust-Based Access Control in crowdsourcing environments A fuzzy expert system to Trust-Based Access Control in crowdsourcing environments A fuzzy expert system to Trust-Based Access Control in crowdsourcing environments A fuzzy expert system to Trust-Based Access Control in crowdsourcing environments A fuzzy expert system to Trust-Based Access Control in crowdsourcing environments A fuzzy expert system to Trust-Based Access Control in crowdsourcing environments 3.2 Trust based access control model for crowdsourcing environments 3.2 Trust based access control model for crowdsourcing environments work_6nikb2xfjnhytgasnakllqgncy The evaluation and ranking of Greek wood companies based on actual financial data is order to calculate the expected intervals of flows for the following years. Keywords: Multicriteria analysis, computer expert systems, wood industries, fuzzy logic. multicriteria analysis and fuzzy logic in order to carry out the evaluation and the ♦ The Expert system ranks annually the eight W.P.C. according to the value of the intervals in which the values of the net flows of the eight W.P.C. are The outgoing flow is calculated that by the following equation 2.7 [1]. Initially the expert system performed the calculation of the annual net flows of flows was performed according to the financing indexes that were mentioned in table 1. Table 5.1: Annual evaluations of the eight W.P.C. according to their net flows from Table 5.2: The average net flows from 1991 to 2000 for the W.P.C. and their ranking work_6ovnzpg4crgrvb5mq3es6kfyc4 of fire safety in dwellings based on the body of knowledge developed by the KEYWORDS: Fire safety evaluation, expert system, Delphi, points scheme. safety components of a specific building type. focus on dwelling fire safety with specific reference to the determination safety evaluation points scheme for patient areas within hospitals. trade-off between passive and active fire safety measures. 1 deciding overall if a dwelling is adequate for fire safety, 2 allowing some trade off between active and passive measures, dwelling would be deemed to satisfy fire safety requirements. contains no information on fire safety, the knowledge base must contain all To allow trade-off the selected norm scores in this example are (A, 141), If a dwelling fails to reach the overall standard, the expert system 2. Marchant, E.W., (ed), "Fire Safety Evaluation (points) Scheme for Fire Safety Evaluation Points Scheme for Dwellings, Part I Some work_6sosbe2fdngyjcsfrbqjs3qvwy In this paper the authors review the developments of the Analytic Hierarchy Process (AHP) In particular, we discuss problem modelling, pair-wise comparisons, judgement scales, derivation methods, consistency indices, incomplete matrix, synthesis of the weights, The Analytic Hierarchy Process (AHP) is a multi-criteria decision making (MCDM) method. Due to its pair-wise comparisons AHP needs ratio scales. sensitivity analysis can be done on three levels: weights, local priorities and comparisons. comparison can vary without changing the rank of the alternatives (Aguarón & MorenoJiménez, 2000) and to remain in an acceptable inconsistency index (Aguarón & MorenoJiménez, 2003) for AHP using the geometric mean. Group decision-making and the analytic hierarchy process: Exploring the Fuzzy AHP-based decision support system for selecting ERP systems in industry in developing international market: Using analytic hierarchy process (AHP) Incomplete pairwise comparisons in the analytic hierarchy process. Pairwise Comparison Method in AHP. Comparison analysis of methods for deriving priorities work_6svi36sxgvejlhk3ehxl4ihkhu An innovative blemish detection system for curved LED lenses An innovative blemish detection system for curved LED lenses Nevertheless, LED lens with a transparent and curved surface is more difficult to detect the visual blemishes than electronic and optical components by current computer vision systems. probability of erroneously detecting normal regions as blemishes on curved surfaces of LED lenses. lenses are round and transparent; the blemish to be inspected Currently, the most common detection methods for LED lens Difficulties exist in precisely inspecting tiny flaws by machine vision systems because when product images are being captured, for an automated visual detection scheme for LED lens blemishes, Also, Lin and Ho (2007) developed a novel approach that applies discrete cosine transform based enhancement and Chen (2010) presented a new inspection system that uses machine vision to detect optical blemishes in quasi-contact lenses. tiny blemishes on LED lenses. for blemish detection of the transparent and curved LED lens work_6uetnwsvf5bptoiu6ksl6lo2se VIKOR (VIsekriterijumska optimizacija i KOmpromisno Resenje) focuses on ranking and selecting from a set of alternatives in the presence of conflicting criteria, and Imprecision in multicriteria decision making (MCDM) can be modeled using fuzzy set theory to define criteria and the importance of variables x; fij is the value of the ith criterion function for the alternative Aj; n is the number of criteria; mco denotes the operator of a The ranking algorithm VIKOR uses fuzzy operations presented The results obtained by the fuzzy VIKOR algorithm are presented in Tables 2 and 3. decision model, here VIKOR method, whereas the fuzziness dissolution (defuzzification) is performed at an early stage (predefuzzification). Ranking fuzzy numbers using a-weighted valuations is considered in (Detyniecki & Yager, 2000). Applying fuzzy VIKOR the result is as follows: ''''Core'''' rankingeN 1; eN 2; eN 3; ''''Exact'''' ranking eN 2 > eN 3; Ranking by crisp values work_6uttfqrwwzazriitygqfm22fii Cased-Based Course Advisory Expert System System (CAES) that uses a combination of rule based reasoning (RBR) and case based reasoning (CBR) to recommend courses recommendation based on the student''s academic history. Keywords—Academic advising; expert system; case-based to a student on the courses to register in a semester in order to course adviser is to ensure that a student makes good decisions of advising a student are based on reasoning drawn from course advisory expert system (CAES). Section 6 reports a case study of the application of the CAES The Graduate Course Advisor (GCA) is a rule-based The intelligent Course Advisory Expert System (CAES) In order to use the CAES for academic advising, the user similar case exists then rules contained in the knowledge base the case base to ensure that course information and the rules in When CAES starts, the student course information is 1) The student could have just the current semester course work_6vaed5kxqndbnfdfz5mbn7dsqm MISNIS: An Intelligent Platform for Twitter Topic Mining, Expert Systems With Applications (2017), doi: Keywords: Twitter; Intelligent Topic Mining; Fuzzy Fingerprints; Text Analytics; Sentiment Analysis. Twitter, the process of retrieving tweets that are related to a given topic, our needle on a tweets do not contain the topic #hashtag or user indicated keywords. tweets do not contain the topic #hashtag or user indicated keywords. In order to use Fuzzy Fingerprints for tweet topic detection, several procedural changes In order to perform tweet topic detection, we used the Twitter Topic Fuzzy Fingerprints A topic fingerprint is created based on a set of training tweets known to be related to the Topic Fuzzy Fingerprints was able to retrieve 40% more relevant tweets (with an FIn order to assert user influence for a given Twitter topic (using the tweets obtained These 380 tweets were used to train the Twitter Topic Fuzzy work_6wqaopq7qjhppbpy3n7wzspbay Evaluation of the construction project success with use of neural Construction project success is determined in terms of cost, schedule, performance and safety through many events and resultant network for assessing the success of construction projects, taking into account the individual influence of the initial conditions as Keywords: Construction project success, neural network, artificial intelligence techniques ; 3. Neural network for evaluation of the construction project success The high order neural network is constructed of three layers with a high order connection and a linear Thus, the architecture of the systems for evaluation of the construction project success can be represented as This paper described an evolutionary fuzzy hybrid neural network to enhance project cash flow management. construction industry project success by fusing hybrid neural network, fuzzy logic and genetic algorithm. [5] D.K.H. Chua, P.K. Loh, Y.C. Kog, E.J. Jaselskis, Neural networks for construction project success, Expert Systems with Applications 13 (4) work_6xmmkpbyhjeerly5wooinxk3qa case of expert systems: "the imitation of expertise, because it is a process of automation of Expert systems designers often refer to the knowledge (or expertise) acquisition issue, knowledge comes from the experts themselves.6 Part of their expertise had been codified parts of the knowledge and the process of decision-making, it created few strikingly new codification: none alone had expertise complete enough to create the expert system. Nonetheless, some knowledge was codified, and in the process some created, the expert system, complete knowledge of general planning and compromise activities in the This process increased the quantity of the experts'' knowledge that was codified (more "rules" Again, in this case it was not possible to transfer expert knowledge completely. knowledge activities involve more and less complex codification processes. 2001-005 Expert Systems: Aspects of and Limitations to the Codifiability of Knowledge 2001-005 Expert Systems: Aspects of and Limitations to the Codifiability of Knowledge work_6z2l7avhtvdyti2zh7yfclr4dm sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220970083 (wp-p1m-39.ebi.ac.uk) Time: 2021/04/06 03:05:09 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_6zijj3t3yzarjnpezhk6rguhx4 A universal agent should be capable of gathering information from arbitrary heterogeneous sites and offer intelligent It can visit an arbitrary domain-related site by observing a user perform the first query. particular item, the agent gathers relevant information from various sites. The major advantage of the agent is a semiautomatic creation of a wrapper around a particular site with few human interventions. such information-gathering agents: ShinA (SHoppINg Assistant) for e-trading tasks, and EMA (EMployment Agent), which Keywords: Intelligent agent; Comparison shopping; Information extraction; Inductive learning; Wrapper Information/Internet agents perform the role of shopping agent queries multiple sites on behalf of a The agent observes a user enter and query a new The agent performs a new query to the Internet {The agent stores three basic types of information: agent, provide basic information about available jobs EMA is an intelligent agent that provides userfriendly information on demand, or when it notices Information such as extracted rules, query templates, work_72uszokn2vf3rnkfho2i2uuf4i second objective is to describe how Zadeh''s theory of possibility fits in the framework of valuation-based systems (VBS). Key Words: Possibility theory, consistent possibilistic state, valuation-based The main goal of this paper is to describe how Zadeh''s theory of possibility can be used for managing uncertainty and imprecision in expert systems. define a qualitative description of a possibility function called a consistent possibilistic state. The process of reasoning in VBS can be described simply as finding the marginal of the joint valuation for each variable in the system. The framework of VBS is general enough to represent many domains such as Bayesian probability theory [Shenoy 1991c], Dempster-Shafer''s theory of belief functions [Dempster 1967, combination and marginalization operations in possibility theory satisfy the three axioms that enable the use of local computation in computing marginals of the joint possibility function. Section 5 describes a small example illustrating the use of possibility theory for managing uncertainty and imprecision in expert systems. work_73xkppnc7nbolh3mvrfkoljsym multi-channel, 3D fluorescent images of late timepoint vaccinia virus (VACV) infected cells (Fig. 1a and Fig. 1). Mimicry embedding allows for separation of cell-free and cell-associated VACV particles through weights transfer from a binary MNIST dataset. Inference demonstrates that mimicry embedding and trained CapsNet allows for efficient classification of VACV particles into four biological c, Respective inference of cell-free and cellassociated particles detected by ZedMate, mimicry embedded and predicted by a mimicry embedded and trained CapsNet results in classification of four types of biologically relevant VACV particles. a, Merged four channel fluorescent image of a HeLa cell infected with VACV cell infected with VACV and treated with the entry inhibitor, IPA 3, previously unseen by CapsNet. d, ZedMate detection and trained CapsNet of intracellular and Mimicry embedding and weight transfer employed for Toxoplasma gondii (Tg) viability detection in cell culture and in vivo.. work_746woqng7fdohiankzdyij7xsu Marketing Decision Making by Applying the Expert The main goal of this paper is to develop an expert system based on fuzzy set theory will try to develop a model that will be suitable for making marketing decisions in marketing, the development of the specific model for decision making, so as the model for decision making, based on successful integration of marketing and fuzzy They will implement the model in decision making problem related to the debate "to produce or to purchase" on one real decision problem in production system, by developing and installing a new model for decision making. decision problem and the importance of marketing management sustainability. process of sourcing decision making is the level of technology development. A solution to the given problem by applying fuzzy set theory, the economic model Fuzzy sets can be introduced into the existing decision making models in several work_75upci22jffbth3moq6xa6xhre The second section ''Counting the Costs'' covers various aspects of this side of the cost-benefit equation. equation is covered in the third section of the book: a study that compares the costs of average searches The final section of this book, ''Predicting Future Group and the Library and Information Research Group, November 1985. papers presented at a one-day conference on Expert ''to provide an introduction to expert systems in general and to review the types of books that expert systems in general and to review the types of books that expert The new book, Man-Computer Interfaces: An Introduction to Software Design and Implementation, by human factors aspects of software system design. Expert Systems in Libraries by Gibb, Forbes (ed.). Expert Systems in Libraries by Gibb, Forbes (ed.). Proceedings of a conference of the Library Association Information Technology Group and the Library and Information Research Group, November 1985. work_7bdviwrlcfgxjdvl3uvswa2y6a Azam Beg Home Books Azam Beg Azam Beg Azam Beg I received a PhD degree in Electrical/Computer Engineering from Mississippi State University, MS, USA. I have diverse industrial, research, and academic experience in the fields of computer systems, control systems, integrated circuits, circuit design and testing, and applied machine learning. I worked as a test/product engineer and as a team lead at Motion Control Engineering, Rancho Cordova, CA, USA. Then I joined Intel Corporation, Folsom, CA, USA, as a Flash Memory Test Engineer. There I first worked as a Pre-Silicon Architecture Validation Engineer and then as a Microprocessor Design Engineer. I am the author and co-author of more than 100 journal and conference papers, and book chapters. My research interests include design and modeling of low-energy/low-power and reliable digital circuits, applied machine learning techniques and their hardware implementation, and academic assessment tools and methods. My Google Scholar page is here. Google Sites work_7c2ec2eccraifjvvadb7744yeu allocated reliability method using four factors: state of the art, subsystem complexity as estimated by the number of parts, environmental conditions, and relative operating time, whereas Karmiol DEMATEL calculation processes, the proposed method also considers each subsystem''s predicted failure rate. subsystem failure rate at same time, the proposed method can efficiently resolve the five shortcomings of the conventional reliability Meanwhile, most current reliability allocation methods do not consider indirect relations between subsystems or components; also, most reliability allocation methods do not consider predicted failure rate in the evaluation process. The reliability allocation results for the DFLCC system (ME-OWA method) are also shown in The reliability allocation results for DFLCC system (ME-OWA based DEMATEL method). The reliability allocation results for DFLCC system (ME-OWA based DEMATEL method). ME-OWA based DEMATEL reliability apportionment method ME-OWA based DEMATEL reliability apportionment method ME-OWA based DEMATEL reliability apportionment method ME-OWA based DEMATEL reliability apportionment method work_7dajei6fxzbuvas6pmzkzxmnxu sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 221024247 (wp-p1m-38.ebi.ac.uk) Time: 2021/04/06 03:06:14 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_7deiyma4obegjesw7ewjdzdlmy In this paper, a new method in classifier fusion is introduced for decision making based on internal structure of base classifiers. work on decision template as a tool for modeling behavior of base classifiers in order to label data. Our new method, introduces a special structure for decision template such that internal behavior of a neural network base classifier can be modeled tradeoff between these two conflicting conditions (Navone, Granitto, Verdes, & Ceccatto, 2001). classifier produces output as a single class label such that these labels have to be combined to make final decision (Battiti & Colla, efficiency of base classifiers in making decisions over input data. method constructs decision template array for each class of training data only based on final outputs of the base classifiers. The base classifiers used in the system are neural networks, all of which with the same internal structure, as shown in work_7dx2a2i6wvg5rnypgn2ynvyo2a Supply chain knowledge management: a literature review Supply chain knowledge management: a literature review This paper aims to contribute to the debate on the role of knowledge management in supply chain supports an enterprise with its management of the supply chain members'' knowledge resource Desouza, Chattarai and Kraft (2003) emphasized how supply chain management and knowledge importance of managing the knowledge development process in the supply chain through a culture area in which knowledge management can be applied to the supply chain. management of the relationships existing in the supply chain for sharing and acquiring knowledge, knowledge management applications in the supply chain, were collected. relationships between other aspects of knowledge management and supply chain performance. investigating how an IT-based solution for the supply chain fits the knowledge management need of knowledge management strategies improve supply chain performance is needed. knowledge management in manufacturing supply chains. work_7dybzs5z6raivnizas67aqkqye Modeling spatial and temporal dependencies among global stock markets An intensive analysis of the dependence structure among stock markets is invaluable to financial experts, spatial and temporal dependencies among global stock markets, and that the relative values of conditional between one and other stock markets separately rather than simultaneously by using time series approaches such as GARCH models. to the estimation of the spatial dependencies among stock markets. Wied, and Guhr (2015), to model spatial dependence in stock returns Particularly, this paper investigates spatial and temporal dependencies among 24 global major stock markets over the period from 2000 to 2014 using dynamic spatial panel The current paper contributes to the economics and finance literature that studies the dependence structure among financial markets in several aspects. compared to other correlation approach in terms of modeling the dependence structure between financial time series. work_7erdnztlwvcwvicggeo6tps7ui these problems is to use multibiometrics where different biometric systems are we are interested in score level fusion functions application (i.e., we use a multibiometric authentication scheme which accept or deny the claimant for using linear classifier) and the use of an SVM (which is a non linear classifier) provided by different biometric systems provid one of the best performances. present a new method based on the use of genetic programming giving similar or Keywords: Multibiometrics, Genetic Programming, Score fusion, automatically generate fusion functions which combine the scores provided by43 • template fusion: the templates captured by different biometric systems80 matically generate a score fusion function with genetic programming. scores provided by different biometric systems, we need to normalize them.230 generate score fusion functions. comes from a different biometric modality) and its result value is the score342 Genetic programming generated score fusion functions give performance451 work_7f4opqdmpfd2thi74qiqo37oua sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 221004486 (wp-p1m-38.ebi.ac.uk) Time: 2021/04/06 03:05:51 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_7fesqq4wwncbrg5ce7t5r4apii KEY WORDS: Nesting 네스 , Expert system 문가 시스템, Pixel 픽셀, Steel cutting 강재 단, Heuristic search 휴리스틱 탐색 을 배치하는 문제는 표 인 네스 문제로서 가능한 한 공간 Fig. 2와 같이 코딩하여 두 형상을 구(Conflict resolution mechanism)에서 제어기 (Control strategy)을 용하여 하나의 규칙을 선택하며, 선택된 규칙은 추론 따라서 Fig. 6에서 제일 좌측 가지들은 각 노드에 Fig. 6 A heuristic depth-first search tree 재들의 배치 순서를 장하는 Lay-tile-list, 다음 번에 배치할 확 first node from the set open-list and call it n ?op <(open-list (nodes ?nid $?rest-n)) Tile-list 슬롯 값인 $?tlist는 재까지 배치된 부재들을 나타내며 Fig. 9 Patterns and a solution generated by the system 따라서, 하나의 블록을 배치할 때 경우를 나타내는 식(1)은 식 러한 제약이 없으며 Fig. 10(b)에서 형상 (5)와 같은 형상의 구멍 형상을 배치할 때 기본 으로 그 형상이 첩 없이 놓일 Fig. 14 A solution for nesting on a irregular shaped stock 형상들을 배치할 평 소재의 형상이 사각 넬이 아닐 경우에도 work_7fzle5euafeo7mwqyrzwm23zau Knowledge Sharing: Collaboration between Universities and Industry 2Research scholar, School for Management Studies, Babasaheb Bhimrao Ambedkar University, Lucknow continuous technological improvements, it is imperative for universities to collaborate with industry in order to enhance the distribution of knowledge, growth research and development, patent inventions and for close by a university industry partnership as a means of national economic prosperity. from the study of literature that university-industry partnership and their succeeding knowledge transfers knowledge is look as a great source of long-term economic growth factor .This paper presents our literature analysis concerning this research topic and explores one particular means of inter-organizational knowledge between universities & Industrial organizations, collaboration policy, needs for collaboration, challenges Keywords: Knowledge transfer, University/industry collaboration, Academic growth knowledge sharing between University &  In universities research work goes on and DIFFERENT WAY OF KNOWLEDGE SHARING BETWEEN UNIVERSITY AND INDUSTRY transfer research & development knowledge in work_7gj5kurvuzau7m3p6lv7viz5m4 A Bi-objective Feature Selection Algorithm for Large Omics Datasets attributes, heuristic decomposition uses parallel processing to solve a set The goal of this work is to solve a feature selection problem with a dataset involving of a heuristic decomposition approach with a sub-problem algorithm was presented in the sub-problem algorithm that finds the feature selection with the minimum number of the proposed sub-problem algorithm, two feature selection methods, Rough Sets and into a disjoint matrix and then applies the Set Covering problem to obtain the result. 3. number of features = Minimum Set Covering Problem optimization problem that finds the minimum number of columns/features covering all The sub-problem algorithm returns the pair (number of features, accuracy). of features is given by Algorithm 4, the Set Covering Problem, and the accuracy by the Each sub-problem returns the pair (number of features, accuracy) for the bi-criteria The sub-problem algorithm returns the performance metric (number of features, work_7gmsezddm5cbvhtbtse4f4a3si differs from the analysis of machinery or land investment in the uncertainty associated with the biological aspects of beef cow reproduction and morFalcone~ Long, and McGrann: Decision Support Aid for Beef Cattle Investment 181 do not explicitly examine the relationship of proposed investment decisions to the financial performance and condition of the beef cow-calf producing firm. beef cow herd cost/price expectations (BCHCPE) module, the beef cow herd investment analysis The beef cow herd inventory (BCHI) module is designed to provide a vehicle for entering reproductive, productive, and financial data that are related beef cow-calf enterprise, the BCIAS model incorporates the following two primary measures as defined by the SPA guidelines: (a) grazing acres per The projected accrualadjusted income statement for the beef cow enterprise utilizing AG-GEM cost and price expectations is shown in table 6. Beef Cow Herd Investment Analysis (BCHIA) Module''s Projected Income Statement for work_7if7t4wnyrcnpcsakzndv4r5s4 Automated pattern recognition: self-generating expert systems for the future will be Expert Systems, Relational Data Bases, and Robotics. and artificial intelligence software to create a system which will generate its own expert systems using relational data The data will be in the chemical domain and the system I describe we are calling the Analytical Director. Analytical Director will be an artificial intelligence/robotic expert system for the analytical laboratory. Director will develop, test, implement and interpret chemical analysis procedures. Key words: artificial intelligence; chemical analysis; expert systems; pattern recognition; relational data bases; mbotics. areas of future development will be expert systems, relational data bases, and robotics. artificial intelligence/robotic expert system for the analytical Analytical Director can develop, test, implement, and interpret chemical analysis procedures. Analytical Director can develop, test, implement, and interpret chemical analysis procedures. the best use of robots will be exhaustive testing of possible work_7jfzxcfh3bbclafu6up5tw3bmi graph matching problem which consists in minimizing the cost of the sequence that transforms a graph into another by means of edit operations. In this paper, a parallel algorithm for exact GED computation is proposed. Research results in the area of parallel algorithms for solving machine learning and computer vision problems have been reported in (Kumar Recently, methods to learn the matching edit cost between graphs computational complexity of matching is exponential in the number of vertices of the involved graphs (Zeng et al., 2009). To ensure that parallel threads are always busy, tree nodes have to be dispatched at run-time. load balancing strategies to divide the global workload of all threads iteratively at run-time. Dynamic load balancing algorithms bind works to threads at run-time. 4. Proposal: Parallel graph edit distance using a load balancing graph edit distance algorithm for solving pattern recognition problems, Proposal: Parallel graph edit distance using a load balancing strategy work_7lkw3khzene7xafknvqc7d3w7e Rule-based expert systems for supporting university students Rule-based expert systems for supporting university students The second system suggests scholarships to undergraduate students based on their eligibility. Keywords: rule-based systems; expert systems; recommender systems; decision support systems; higher education; university education. are many advantages of rule-based expert systems: They decrease costs since they reduce the need for human all the questions are answered, the rule-based expert system presents its suggestion. project, the resulting output is in the form "The student/user is eligible for the Sabancı Vakfı Scholarship" or "The student/user is not eligible for the Sabancı Vakfı Scholarship", corresponding to the suggestions of We will discuss the studies in literature under two groups, namely expert systems for course advising and students and presents a detailed review of expert systems for course selection. propose combining rule-based reasoning with case based reasoning in course advising expert systems. The developed rule-based expert system meets the user with a welcome screen. work_7ncnetuel5hujl7vae6rqhp3wu Naar de inhoud springen Terms of Use Login Zoeken naar: Zoeken Je moet eerst inloggen, daarna kun je een nieuwe site maken. Technische Universiteit Delft Auteursrecht © 2021 Alle rechten voorbehouden.Thema: Flash door ThemeGrill. Aangedreven door WordPress work_7nklpxgverfz5e5m6l7kxzl2cu Ore Type based Expert Systems in Mineral Processing Ore Type based Expert Systems in Mineral Processing Plants Ore Type based Expert Systems in Mineral Processing Plants An expert system based on on-line classification of the ore type has The methodology for the development of the ore type based expert system is presented and the preliminary As successful case projects, expert system based on on-line classification of the ore type is described in this The results are used in the development of the online classification and also in the feed type based process study that results in the authoring of the knowledge of the mineralogy of the ore body can be created and the type of concentrator feed can be determined using An expert system based on on-line classification of the ore type has been developed and tested in two Laine: Ore type based expert system for the Hitura concentrator. work_7oeuogr3grai7jg3266i56thxa In this paper, we shed new light on the authenticity of the Corpus Caesarianum, a group of five commentaries describing the campaigns of Julius Caesar (100-44 BC), the founder of the Roman empire. Most computational authorship studies in computer science are still restricted to present-day document collections. In this paper, we illustrate the broader applicability of computational authorship verification by reporting a high-profile case study from Classical Antiquity (Koppel & Seidman, 2013; Stover of written documents (Stamatatos et al., 2000), the former encapsulating all aspects of an individual author''s language use at the textual level (Hermann et al., 2015). Ever since the Federalist papers, research into English-language documents has dominated authorship studies. author in the problem, O1 uses thresholding: unknown documents resulting in a distance below this model has been shown to work surprisingly well for authorship attribution in many studies (Stamatatos, work_7qkqtvrpezcrtoaq3oc7zpsvg4 Storage-Optimizing Clustering Algorithms for High-Dimensional Tick Data our approach is based on the decomposition of a large tick data matrix into a number of smaller new clustering algorithm that minimize storage space required for a tick data matrix. approach for the decomposition of tick data matrices is based on clustering. storage space and therefore, as shown in large number of extensive experiments, SOHAC substantially outperforms conventional clustering algorithms for the tick data storage problem. clustering algorithm, SOHAC, that supports efficient storage of tick data. With decomposition of a tick data matrix M we mean the clustering of the regular columns of the problem defined in the previous section is to cluster the columns of a tick data matrix. Algorithm 1 SOHAC: Storage-Optimizing Hierarchical Agglomerative Clustering for Tick Data the clusters produced by our approach, SOHAC, to the decomposition of the same tick data matrix work_7sil3dhbojfnxb72jnlh2wxb2m supply chain with its professional and complete value-added services. supply chain members, the authors suggest that only when the 3PL reengineers its logistics business process to accommodate the customer q 2005 Published by Elsevier Ltd. Keywords: Third party logistics (3PL); E-commerce; Business process reengineering; Multi-agent supply chain logistics for it is informational, professional, supply chain logistics is determined by the efficiency of the service and on its logistics business process. supply chain of a focal enterprise. reengineer its logistics business process flow and thus 3PL companies and all the supply chain node enterprises 3. Integration of 3PL with the supply chain process the logistics business process or the management of the 3PL and management of the supply chain members. logistics customers (the focal enterprise) are different and business process include management of customer services, the supply chain business process, 3PL logistics business supply chain management include processes of customer work_7xjlmdv42zgjrmqnn44vauu7bu Tomczak, Institute of Computer Science, Wroclaw University of Technology, wyb. Application of Classification Restricted Boltzmann Machine to Medical Domains which are able to extract features automatically and obtain high predictive performance. building block of a deep architecture is Restricted Boltzmann Machine (RBM). in RBM by adding a regularization term to the learning objective which enforces sparse solution. considered classifier is then applied to five different medical domains. Key words: Restricted boltzmann machine • classification • sparse • medical domain • diabetes • oncology Typical sparse learning is based on adding a regularization term to the learning objective (typically discriminative learning (Section II-B) and sparse learning with well-known classifiers in five medical A RBM with M hidden units is a parametric model Further, we will refer sparse learning of ClassRBM discriminative and sparse learning of ClassRBM give Second, in our proposition of sparse learning we The Journal of Machine Learning Research, work_7yvewrusbbecrkx57q2e6veq4q Automatic expert system based on images for accuracy crop row detection in maize fields Automatic expert system based on images for accuracy crop row detection This paper proposes an automatic expert system for accuracy crop row detection in maize fields based on An important issue related with the application of machine vision methods is that concerning the crop row and weed detection, On the other hand the discrimination of crops and weeds in the image is a very difficult task because their Red, Green and Blue spectral components display similar values. Knowledge and requirements are mapped as follows to build the architecture of the proposed automatic expert system for the accuracy crop row detection based on images. Based on the above considerations, we select the Theil-Sen estimator as proposed in Massart (1997), because of its statistical efficiency and its robustness, even for low image resolutions, resulting work_7zcibx6kbzd6lbndc76iowoxnm CADIAG-2 consists of a knowledge base in the form of a set of IF-THEN rules that paper: formalise the inference in CADIAG-2 on probabilistic grounds and check its adequacy with probability logic –see (Halpern, 2003)– or, more generally, with At the nth step in the inference process a new rule of set of medical entities in L occurring in the rules triggered by the initial evidence in Γ along with the maximal value (with respect to the ordering � defined in the rules of inference in ΦCB) it is not based on probabilistic methods and so the degree of freedom when The evidence would then be brought together in CADIAG-2 by what we call the right conjunction rule: given two outcomes of the inference process, The formal system CadPL is defined by the following inference rules: of some of the rules of CadPL (and thus of some inference steps in CADIAG-2) and the inconsistency of the work_a56n6qovhvgphchpkspltuwrni Keywords: Cross Impact Analysis, Latent Semantic Indexing, Text Mining, Conditional approaches based on well-known text similarity measures to identify the impact of one event impact on a different semantic textual pattern representing e.g. another technology and based on this relationship, the cross-impact between technologies can be calculated. To extract semantic patterns from the large number of texts describing events, we use a rankvalidation procedure that is taken over from literature (Thorleuchter & Van den Poel, 2013a). the patterns are identified, and the cross-impacts between the technologies are calculated. The proposed approach calculates conditional cross impact probabilities by use of semantic semantic approach (LSI) for calculating the conditional probabilities from texts. We use matrix Vk to calculate the conditional cross impact probability of an event B The identified 10 technology areas lead to the calculation of 90 conditional cross impact In a case study the proposed approach is applied to identify conditional cross-impact probabilities work_aajczoflznegllwaw3jeykiofi Objectives.—To develop and determine the accuracy and utility of a computerized headache assessment tool (CHAT). CHAT was designed to identify all of the major primary headache disorders, distinguish daily from episodic types, and recognize CHAT were seen in patients with transformed migraine or new daily persistent headache. Fifty patients were referred to their primary care physician and 62 to the headache clinic. Conclusion.—The described expert system displays high diagnostic accuracy for migraine and other primary headache describes the development of the program, the diagnostic accuracy for primary headache syndromes, and a screen, which asks questions based on IHS criteria for migraine and tension-type headache (severity, Lipton revised criteria for transformed migraine.24 Potential assessments for headaches lasting 4 hours or Importantly, headaches that do not fulfill criteria of the above conditions generate an assessment of "cannot assess." All diagnoses are followed by a brief explanation of how the diagnosis work_aarrsiiyjfelfbx4vhkqxppyhy Synergistic case-based reasoning in medical domains research with medical research and practice, integrate multiple AI and computing methodologies, leverage small numbers of available cases, reason with time series data, and integrate numeric data with contextual and subjective information. The case base includes 80 cases, each of which contains a specific blood glucose control problem experienced by a T1D patient, research studies in which: (1) T1D patients contributed blood glucose, insulin and life event data; (2) physicians manually identified as similar to test cases 80% of the time and rated the retrieved solutions as beneficial for test patients 70% of the time (Marling et al., decision support based on past cases relevant to the current patient. By compiling cases of patient problems, solutions, and outcomes, CARE-PARTNER aided in defining best clinical practices. RHENE has the tightest integration with time series data, using TA to represent, compare, and retrieve cases. work_ae2kbpgag5fgdkr6lp3cvgavjy A Study of the consideration of bio monitoring of trace Elements in the chemical elements in the human body. The studies of trace element composition in the human nail is called observed .The concentration of trace elements for a healthy human composition of chemical elements in the nail differs to each individual. the humans nails can be used as the bio marker for monitoring or quantifying the composition of chemicals (major and trace elements) concentration in the human nail differ from one people to another V. COMPONENTS OF NAIL ELEMENT TRACE ELEMENTS IN TOE NAIL measure Hair and nail clippings have the Element research in nails has elements in human body fluids and A Study of the consideration of bio monitoring of trace Elements in the human nail for the A Study of the consideration of bio monitoring of trace Elements in the human nail for the work_aeju6oagavhibhlxrdwrozirey An integrated decision making approach for ERP system selection An integrated decision making approach for ERP system selection Thus, a robust decision making approach for ERP software selection requires both decision framework for ERP software selection based on quality function deployment (QFD), fuzzy linear regression and zero–one goal The proposed framework enables both company demands and ERP system characteristics to be considered, and provides The presented methodology appears as a sound investment decision making tool for ERP systems as well as other information systems. Keywords: Decision making; Quality function deployment; Fuzzy linear regression; Enterprise resource planning; Software selection The selection process for determining the most appropriate ERP software among a set of possible alternatives Kyparisis (1995, 1996) proposed nonlinear zero–one programming models for IS project selection. also applied to the process of selecting an ERP system. In this section, a decision making approach that integrates quality function deployment (QFD), fuzzy linear work_afdb256hkbd6bpje6zfuhgo7e4 Keywords: Shopping centre, shop attractiveness, intangible factors, pedestrian flow, predict the pedestrian flow drawn by a shop or at any particular point within a factors, namely tenant mix, centre/ shop characteristics, brand name and prestige pedestrian flow, with the data collected in three shopping centres in Hong Kong. tangible (e.g. shop size, location, etc.) and intangible factors (e.g. branding, market as image, quality, pricing, branding, goods variety and shop size. IF the shop''s youth image is teenagers or youngster; AND goods quality is bad or just limited; AND trade is restaurant/entertainment; AND shop size is tiny or small or Membership functions of intangible variables of individual shops are assessed and assessed at different points within the same retail development, the shop attractiveness This paper is the first to adopt fuzzy logic to assess shop attractiveness within a 2. Shop attractiveness is not the sole factor affecting the pedestrian flow of a work_ag2w6cadgvej3hd55ptj5do6ku Association rules applied to credit card fraud detection Association rules applied to credit card fraud detection Keywords: Association rules; Data mining; Credit card fraud; Fraud detection; Fraud prevention 16 million credit cards had already been issued by the different retail distribution chains. of their computerized management systems in their decision-making processes is very different from the level of Level Zero (non-computerized systems): No incorporation of computer technology in computerized management technological resources in computerized management systems for decision-making, e.g. the use of spreadsheets to Level Three (integrated computerized systems): Use of risk control, whereby we worked with the area of the company with available data and with a Level Two computerized management system (the others were ruled out on computerized management systems of these decision-making processes from their current computerization levels fraud through the use of corporate credit cards as a form that the mass issue of credit cards by department stores has work_agxfmr54pzdobbxo2s4aficvle sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220972998 (wp-p1m-39.ebi.ac.uk) Time: 2021/04/06 03:05:13 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_ahibudfxqrgz5odyehpyedlc6u paper, an integrated expert system (IES) for the analysis and classification of all the available useful information of the customer is presented. This IES include several modules: text mining module for analysis of inspector commentaries and extraction of additional information on the customer, data mining module to draw up the rules that determine the customer estimate consumption, and the Rule Based Expert System module to analyze data mining module to set up rules to check if the customer consumption is normal, and the Rule Based Expert System (RBES), features for NTL detection, like consumption data, economic activity, active/reactive rate, and contracted power. The proposed IES employs several techniques to detect and classify customer abnormalities related with frauds and other anomalies (NTLs). an in depth treatment of all the prior information analysis processes for application of data mining techniques. – The text mining technique comprises knowledge of the customers'' facilities provided by Endesa''s inspectors. work_ahtiosddlbhgtj7wlpis3mjplm decision tree algorithm to solve the imbalanced problem in a multi-relational database. values and a target class, but a tuple in the non-target relations contains only the attribute values. (Anto, Susumu, & Akira, 2000; Ezawa, Singh, & Norton, 1996; Fawcett & Provost, 1996; Kubat, Holte, & Matwin, 1998; Lawrence, Burns, Back, Tsoi, & Giles, 1998). Although there are many multi-relational database mining classifiers as described in Section 2.1, they can not solve GTIP maintains the original data distribution in each non-target relation by restoring the number of target classes of each tuple to a single one as Thus, in order to design a classifier suitable for the multi-relational database, Mr.G-Tree In this section, we apply two real multi-relational databases to compare the accuracy of the positive and the number of multi-relational data mining classifiers proposed, such as TILDE, FOIL, CrossMine and so on, those Multi-relational g-mean decision tree algorithm Multi-relational g-mean decision tree algorithm work_aogmuki5z5cojix6nrwqgrvsk4 An expert system for tourism in Jordan (ESTJ) was developed to recommend a suitable travel schedule that satisfies The system is useful for tourists, and tourism agencies to select the best package based on the proper In this research, an expert system will be developed to assist tourists and tourist agencies in Jordan to select the best tourists, and tourism agencies to select the best package based on the proper time, budget, and preferences of required Expert System Design for Tourism in Jordan The proposed system, i.e., Expert System for Tourism at Jordan (ESTJ), is a rule based expert system which is If there is a rule in the knowledge base which matches the given facts by the user, the system shows the An expert System for Tourism in Jordan (ESTJ) was developed using rule based expert system architecture. [4] Chauhan, R., "An expert system for tourist information management", International journal of Computer Science work_ashml6tmjjbifhwlu2lmefdagm Data mining for grammatical inference with bioinformatics criteria Data mining for grammatical inference with bioinformatics criteria In this work a novel data mining process is described that combines hybrid techniques of association analysis and classical sequentiation algorithms of genomics, to generate grammatical structures of a specific language. method applies to context-free languages with the possibility of being applied to other languages: structured programming, the language of the book of life expressed in the genome and proteome and even the Bioinformatics employs computational and data processing technologies to develop methods, strategies and programs that permit to In this work a novel data mining process is described that combines hybrid techniques of association analysis and classical programming languages are generated by grammars of this type This criteria can apply to another data control, for example, in the bioinformatics context, when the data to treat correspond to the chain of nucleotides of the genome and sequences work_asrprf5bwfgjxlzwixdqpn27v4 This paper discusses artificial intelligence methods in circuit pack testing. problem-solving strategies which use the knowledge base define the inference engine o f the Learning o f diagnostics systems has been explored only at the compiled knowledge base level reasoning: Pazzani (1987) developed a failure-driven learning mechanism to update the rule-base representation for its knowledge base which is subdivided into Causal Model KB and Test KB. diagnostic expert systems implementations are using a combination o f rule-based and connectivity Electronic circuit diagnostic expert systems---a survey 397 Electronic circuit diagnostic expert systems---a survey 397 Electronic circuit diagnostic expert systems---a survey 397 Electronic circuit diagnostic expert systems---a survey 397 Electronic circuit diagnostic expert systems---a survey 397 Electronic circuit diagnostic expert systems---a survey 397 Electronic circuit diagnostic expert systems---a survey 397 Electronic circuit diagnostic expert systems---a survey 397 J., A method for test system diagnostics based on the principles of artificial intelligence. work_auqawdjzq5cqfbtap7kr6ihyte Abstract--This paper describes the Egyptian experience in using Expert Systems (ES) as a training tool device f o r increasing the efficiency of extension workers through improving their general decisionmaking skills in their jobs. Expert systems are tools for agriculture The Need for Expert Systems in Decision needs assessment for expert systems in the agriculture The Need for Expert Systems in Training management which are developed by the Central Laboratory for Agriculture Expert System (CLAES) at the expert systems: irrigation, fertilization, verification and during one training cycle of competent extension workers to measure the effect o f using expert systems on their (4) Train the extension workers on the expert Expert Systems as a Training Tool in Agriculture 349 Expert Systems as a Training Tool in Agriculture 349 Expert Systems as a Training Tool in Agriculture 349 Expert Systems as a Training Tool in Agriculture 349 work_avjpj6uqijhr5ncpqosqjrbd3a Checking a Plan (Map) to verify its compliance with building bylaws is a complex task mainly due to Due to the problems faced by Building Control Department, HDA ( Hyderabad Development Authority) named as ESBBC (Expert System for Building Bylaws Compliance) for HDA that can help in their (Object Oriented Programming) language, Prologa rule based language and MS Accessfor database. We have checked plans of 20 properties according to HDA building regulations using ESBBC and Key Words: Expert System, Plan, Bylaws, Java, Prolog. which is integrated with Prolog rule base engine. (ii) Plan Rule Based Engine (Prolog) verify building compliance of plans by implementing rules Development of Internet Prolog Applications using Java The Specification of an Expert System for Building Bylaws Compliance The Specification of an Expert System for Building Bylaws Compliance The Specification of an Expert System for Building Bylaws Compliance The Specification of an Expert System for Building Bylaws Compliance work_ayay4uyj5zdbxk2sqsflpgwbqi An intelligent condition-based maintenance platform for rotating modules such as data acquisition, signal processing, feature extraction and feature selection, CBM platform is proposed in this paper to be applied for rotating machinery easily and Keywords: Condition-based maintenance, Diagnostics, Prognostics, Signal processing, Feature acquisition, signal processing, feature extraction and feature selection, condition monitoring and processing, feature extraction and feature selection, condition monitoring and health assessment, are two main functions of prognostics: failure prediction and remaining lifetime estimation. component analysis from vibration signal features. This study proposes the I-CBM platform based on standalone data-driven approaches as a machinery, performance degradation assessment, remaining lifetime estimation, and industrial Intelligent condition monitoring and prognostics system based on data-fusion The result of feature selection in I-CBM platform. The result of feature selection in I-CBM platform. Performance of each method for fault diagnostics of induction motor. Performance of each method for fault diagnostics of induction motor. work_ayd5ovacqfaazalhyttvgeezae blog page, chosen in according to bloggers'' interests. immediate interests expressed on the page (i.e., intentions) for intentions) in a blog page, or the personal interests of the blogger. match relevant ads to a given blog page. visits to find related topics for matching ads, while bloggercentric contextual advertising would assign ads to a given blog content of the page to recognize intention and detect sentiment for intention recognition, sentiment detection, term expansion and technique for detecting the sentiment of a blog page. intuitively model a triggering page p and relevant ads a as a user''s recognition, sentiment detection and page-ad matching. For the dataset of triggering pages (i.e., 50 intentional articles), Table 2: Sentiment Detection for triggering pages associating ads with blog pages based on intention analysis. intentions and the sentiments of blog pages and utilized this framework using 200 personal blog pages and over 130,000 ads work_azq5fa4xynajvgzrxxcnbzkvuq tonnage, allowing the improvement of operational variables that directly interact with the crushing performance of the critical line operating with expert control, with a 55% reduction in the detentions allows the critical variables of the process to be controlled on rules-based decisions that operate to performance of the plant by 7% and then contribute to operational continuity and a controlled process Secondary crushers current [%] Tertiary feed hopper level [%] Established Operational Ranges: Secondary Crusher Line 1, Expert System K-UCN. Established Operational Ranges: Tertiary Crusher Line 1, Expert System K-UCN. Established Operational Ranges: Tertiary Crusher Line 1, Expert System K-UCN. Unlike the secondary crushing, the expert system in the tertiary crushing plant operates with crushing plant when operated with the expert control system so that it can be implemented in the the behavior of the expert control system, three lines of the secondary crushing plant and six lines work_b3cby3ftcncclfcju2jjbvnoga Procedia Economics and Finance 6 ( 2013 ) 385 – 391 Published by Elsevier B.V. Selection and peer-review under responsibility of Faculty of Economic Sciences, Lucian Blaga University of Sibiu. ScienceDirect Available online at www.sciencedirect.com Selection and peer-review under responsibility of Faculty of Economic Sciences, Lucian Blaga University of Sibiu. Open access under CC BY-NC-ND license. Open access under CC BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/3.0/ http://creativecommons.org/licenses/by-nc-nd/3.0/ 391 Claudiu-Leonardo Stoia / Procedia Economics and Finance 6 ( 2013 ) 385 – 391 391 Claudiu-Leonardo Stoia / Procedia Economics and Finance 6 ( 2013 ) 385 – 391 391 Claudiu-Leonardo Stoia / Procedia Economics and Finance 6 ( 2013 ) 385 – 391 391 Claudiu-Leonardo Stoia / Procedia Economics and Finance 6 ( 2013 ) 385 – 391 391 Claudiu-Leonardo Stoia / Procedia Economics and Finance 6 ( 2013 ) 385 – 391 391 Claudiu-Leonardo Stoia / Procedia Economics and Finance 6 ( 2013 ) 385 – 391 work_b3drjz6z2rhdjcak5ekjjx2qwi This paper presents the results of research on the applicability of neural networks in the process of computer calibration of a microsimulation traffic model. prediction of a neural network for one traffic indicator, i.e. for the traveling time between measuring The process of validation includes an analysis of traveling time and queue parameters on new sets of data gathered both at the A computer can examine a large number of combinations of values of model input parameters in real time, in case that it can obtain software simulation output values (e.g. traveling time) of the of the neural network is to predict the time of travel between measuring points for particular values of input parameters, which preset criterion of comparison of modeled (by neural network prediction) and measured values of traveling time according to by the comparison of modeling results to measured values of traveling time and queue parameters at the examined roundabout. work_b3qhs5g3ajbtpohq2awwdjge74 [PDF] Expanding the TRANSFAC database towards an expert system of regulatory molecular mechanisms | Semantic Scholar Corpus ID: 18774013Expanding the TRANSFAC database towards an expert system of regulatory molecular mechanisms title={Expanding the TRANSFAC database towards an expert system of regulatory molecular mechanisms}, TRANSFAC is a database on transcription factors, their genomic binding sites and DNA-binding profiles. Among them, modules which provide data about signal transduction pathways (TRANSPATH) or about cell types/organs/developmental stages (CYTOMER) are available as well as an updated version of the previously described COMPEL database. Figures, Tables, and Topics from this paper Sort by Most Influenced Papers Chen, +11 authors S. Chen, +11 authors S. View 4 excerpts, cites methods Databases on transcriptional regulation: TRANSFAC, TRRD and COMPEL Wingender, +9 authors N. TRANSFAC, TRRD and COMPEL: towards a federated database system on transcriptional regulation Kel, +6 authors N. TRANSFAC: a database on transcription factors and their DNA binding sites work_b4flychdojbpfic7qrlqfilb5e The Evaluation and Impact of NEPER Wheat Expert System Abstract: This paper presents the laboratory and field evalation results of NEPER Wheat The laboratory evaluation showed that NEPER performance is comparable Field evaluation has revealed that NEPER has good economic and The field testing results have also shown that NEPER is usable, recommendation of the field testing that is presented Figure 1 NEPER Diagnosis evaluation result Figure 2 NEPER Treatment evaluation result treatment part of the NEPER Wheat ES including calculated for both NEPER and the control fields. Wheat fields in the first experiment was more than pesticides used by NEPER Wheat fields was less In the second experiment of NEPER wheat ES, the wheat in the ES fields was 112.74 M3 water, while the control field in the experiment locations and the CLAES (2001) "Validating NEPER Wheat Expert CLAES (2001) "Validating NEPER Wheat Expert CLAES (2001) "Validating NEPER Wheat Expert work_b4jj37b2uje75bm5llggmalcua Keywords: social participation, public health policies, mobile devices, civic social applications social control refers to community participation in the decision-making process on public policies and control present the use of mobile devices to stimulate social participation to strengthen public health policies. Access to government data enables the creation of applications that promote social control and citizen application allows the citizen to evaluate the health establishment and report on incorrect data found in the CIVIC AND SOCIAL APPLICATIONS TO SUPPORT PUBLIC POLICIES ON HEALTH CIVIC AND SOCIAL APPLICATIONS TO SUPPORT PUBLIC POLICIES ON HEALTH CIVIC AND SOCIAL APPLICATIONS TO SUPPORT PUBLIC POLICIES ON HEALTH CIVIC AND SOCIAL APPLICATIONS TO SUPPORT PUBLIC POLICIES ON HEALTH CIVIC AND SOCIAL APPLICATIONS TO SUPPORT PUBLIC POLICIES ON HEALTH CIVIC AND SOCIAL APPLICATIONS TO SUPPORT PUBLIC POLICIES ON HEALTH CIVIC AND SOCIAL APPLICATIONS TO SUPPORT PUBLIC POLICIES ON HEALTH CIVIC AND SOCIAL APPLICATIONS TO SUPPORT PUBLIC POLICIES ON HEALTH work_b4yoshddkndarh4za7xngltfru Balanced scorecard is a widely recognized tool to support decision making in business management. scorecard-based systems present two drawbacks: they do not allow to define explicitly the semantics of the underlying knowledge and In our approach, knowledge about balanced scorecard variables is represented using an OWL ontology, therefore allowing reuse and sharing of the model among different companies. acts as the basis for the fuzzy expert system, which uses highly interpretable fuzzy IF–THEN rules to infer new knowledge. valuable pieces of information to help managers to improve the achievement of the strategic objectives of the company. Keywords: Knowledge-based systems; Expert systems; Ontologies semantic web; Applied economy; Balanced scorecard; Fuzzy logic to fuzzy balanced scorecard (see Section 5 for details). theoretical aspects underlying this paper: balanced scorecard, fuzzy logic and ontologies. our fuzzy balanced scorecard, describing the variables basic ideas in fuzzy sets theory and fuzzy logic, and Section work_b5xqj5grzbfg3j54vqhpg3rlga To provide advice about term selection and query expansion, an IES should include a terminological knowledge structure. In addition, databases that use an indexing language require users to make another decision: whether to enter the search key as a textword key, which would retrieve all bibliographic database records that include the key in The interaction that takes place in information retrieval between users and the database searched can be described with the use of a simple two-stage model (Efthimiadis, 1991; In addition to the knowledge about the database, its controlled vocabulary, and indexing, the IES must incorporate terminological knowledge and information about individual search keys that is not available in thesauri and indexing manuals. Second, to advise users searching textword databases, an IES would require terminological knowledge that is not included What then would be included in its knowledge base for an IES to diagnose and provide advice about the selection of search keys in all databases? work_b6lhy6c635gqbgvyl5wplgrxna multidimensional analysis, we identified the most productive author and universities, research paper the most employed methodologies are fuzzy ESs and knowledge-based systems, and (3) the leading authors, reviewers, and journal editors, universities, and research classifies ES methodologies using 11 categories: rule-based systems, knowledge-based systems, neural network, fuzzy ESs, object-oriented methodology, case-based reasoning (CBR), system architecture development, intelligent agent (IA) systems, modeling, ontology, and database methodology. authors, sorted by the number of publications, along with the association for information systems (AIS) region and current affiliation. It may show that Asian universities and researchers are more likely to prefer this internationalized journal focusing on expert and knowledge domain. methodology is fuzzy ESs, followed by knowledge-based systems A profile of information systems research published in expert systems with applications from 1995 to 2008 A profile of information systems research published in expert systems with applications from 1995 to 2008 work_b6m7qqhvezfj5mvhumiyb5ihue Off-Line Arabic (Indian) Numbers Recognition Using Expert System Off-Line Arabic (Indian) Numbers Recognition Using Processing; Pattern Recognition; Feature Extraction; Object finally, the proposed algorithm for number recognition is of segmented Arabic numbers for feature extraction, where Some examples of the segmented Arabic object numbers. The feature extraction and recognition of each number are computed by scanning the object from left to right at the midlevel of the image, as shown in figure 6. object will be examined with the conditions for number ''9''. the preprocessed object is number 7, when the conditions of Shows three scanning positions of Arabic object number seven Shows two scanning positions of Arabic object number three Shows two scanning positions of Arabic object number three Shows the Arabic object number zero Shows the Arabic object number six Shows the Arabic object number six Shows the Arabic object number six number recognition is proposed in this research. work_bcj2seb6rzeh3jjwunry2puj34 Clustering of Telecommunications User Profiles for task to identify appropriate user behavior representations (profiles) inside a large organization''s telecommunications network, in order problems of user profiling and fraud detection. Keywords: User profiling, clustering applications, data mining, fraud detection, telecommunications A user profile is a collection of personal data associated to this, fraud detection problems involve huge data sets, appropriate user modeling towards fraud detection, we expected number of clusters while the latter needs no user Table 2: Clustering statistics for six defrauded user for the case of User3 the clustering statistics for fraud detection ability of different user profiles by means of : Clustering of Telecommunications User Profiles for Fraud... : Clustering of Telecommunications User Profiles for Fraud... : Clustering of Telecommunications User Profiles for Fraud... : Clustering of Telecommunications User Profiles for Fraud... : Clustering of Telecommunications User Profiles for Fraud... An Application of User Profile Clustering An Application of User Profile Clustering work_bcpbwz3m2rh6bibnz7jai32lf4 In this context, hybrid ensembles of classifiers enhance the diagnosis performance of expert systems of different kinds by combining their outputs. set of baseline systems which must first assess the cases uner test and, consequently, provide partial diagnoses which are fially combined into a final decision using a majority vote scheme llows combining the diagnoses that the standalone diagnosis sysems would output for a case under test without actually needing • A method to combine any number and kind of different standalone classifiers as well as different sources of expert knowledge in order to get an enhanced performance compared to gure, the KPIs from the case y act as input values in the behavor models of the R diagnosis systems, i.e., the probability functions the diagnosis performance of the proposed method the proportion of cases used for the modeling to the testing set has been work_bdo3y2u4gfdl3hj4ntxfwmmd4u chromatography� ��� reviews expert systems for liquid chromatography very brie�y� It lacks knowledge engineering� However its analysis of how expert systems for chromatography have The expert systems in chemical analysis �ESCA� project� Esprit project ����� started in single integrated system was implemented� Future projects to develop expert systems for Two similar expert systems for planning separations of steroids by HPLC were designed by Three expert systems were developed for ion pair chromatography� One suggested a suitable time the project required one year� Future developers of expert systems for chromatography ���� In the ESCA project four experts separately contributed knowledge for each of the four Thus previous experience suggests that developers of expert systems for chromatography the quality of � � �� p��� of ���� the resulting systems� Hence expert systems need to be is needed to determine why because developers of expert systems for chromatography often not being used by developers of expert systems for chromatography� work_bh3tqo6tq5cd7mlzt4sms7bbb4 NB: No Bad earlier credits (t/f) SU: somebody offers SUrety (t/f) Graphs and hypergraphs Graphs and hypergraphs Graphs and hypergraphs Graphs and hypergraphs Graphs and hypergraphs Graphs and hypergraphs Graphs and hypergraphs Extension to conditional language L|L by binary conditional operator (. Step 2: Knowledge acquisition Step 2: Knowledge acquisition GO: GOod credits (yes/no) U: RetUrn of investment. GO: GOod credits (yes/no) U: RetUrn of investment. Variables Vl and Vm are involved in a rule Bi|Ai Variables Vl and Vm are involved in a rule Bi|Ai set of finite valued variables V = {V1,…,VL}. set of finite valued variables V = {V1,…,VL}. set of finite valued variables V = {V1,…,VL}. set of finite valued variables V = {V1,…,VL}. Denote Ei(Bi|Ai) ( V set of variables involved in a rule Bi|Ai Denote Ei(Bi|Ai) ( V set of variables involved in a rule Bi|Ai NB: No Bad earlier credits true NB: No Bad earlier credits true work_bkf2yq62svgubgfcf4nyrfvrra Fuzzy neural network and fuzzy expert system for load forecasting Generation, Transmission and Distribution, IEE ProceedingsIndexing terms: Neural networks, Load forecasting, Expert system, Power system planning and a fuzzy expert system (FES) producing load corrections to yield the final forecast. and the output vector is defined in terms of fuzzy classmembership values of the forecast load. use of an adaptive fuzzy load error correction scheme. Several examples presented in this paper include 24hahead average, peak and hourly load forecasts using During training, the neural net produces an initial forecast with a set of initial load, temperature and humidity data expressed in terms of fuzzy membership values. The errors in the weather parameters and load-correction values are fuzzified using six fuzzy sets such as SP eLc is the maximum load error correction for the corresponding linguistic set (for which the membership value work_bm5nxbzdibgs7nrxpam3y4s67u work_bp7byanef5hhpjll25h56u7wp4 and bio-geochemical considerations into the selection process of a potential landfill site. available microcomputer-based expert system shell VISUAL RULE STUDIO, for the Keywords: Sanitary landfill; Expert system; Blackboard architecture; Hazardous waste site 2002, Chau & Chen 2001, Chau & Ng 1996, Chau & Yang 1993, Chau & Zhang 1995, Lin & This paper delineates a prototype expert system for the selection of a landfill site, microcomputer-based expert system shell VISUAL RULE STUDIO. architecture with hybrid knowledge representation techniques including production rule knowledge acquisition module, a user interface and an explanation facility. provides the skeleton of an expert system incorporating inference engine, user interface and objective of such a consultation is to obtain a site rating using the expert rules and the production rule format in the knowledge base are employed to rank the potential landfill knowledge on preliminary landfill site selection. A knowledge based expert system for design work_bslkbhrqkbfwbhqxhkjzv35vpm Mixed-integer linear programming models for crude oil movement between units are merged into the Compared with existing scheduling approaches for oil movement, the proposed hybrid refinery scheduling system is very effective in dealing with timing decisions involving vessel unloading operations due to the advantages of an expert system. Key words: Refinery Scheduling System, Mixed-Integer Programming, Expert System, Oil Movement The major scheduling objective is to provide crude mixing with desired sulfur levels which will yield required distillates [1996] presented a mixed-integer linear programming model for crude-unloading operation, oil movement between tanks, and crude-charging schedule, but the serious shortcoming of the model is the large computational expense. yields the amount of oil movement between units: storage tankcharge tank and charge tank-crude distillation unit (CDU). problems: docking of vessel, crude unloading, transferring and mixing of crude, and feeding to CDU. HYBRID SCHEDULING MODEL FOR CRUDE OIL UNLOADING AND INVENTORY MANAGEMENT work_bsrqzukk65dflfzlpdpo6jxldm travel regulations on relocation allowances. R e l o c a t i o n Allowance Planner), whose rule base consisted o f o n l y a small subset o f the applicable regulations a n d whose user interface lacked s o m e o f the i m T h e conditions, restrictions, a n d limits pertaining to expense allowances for Section 9 governs allowances for storing household goods while at the new residence. T h e r e are n u m e r o u s eligibility conditions that m u st be satisfied in order to obtain this allowance. regulations to assist employees in d et erm i n i n g their relocation allowances. trace, the answers supplied by the user during a consultation, and the allowance s u m m a r y information. Since simple conditional rule bases encode declarative knowledge, some special provision Relocation Allowances, Federal Travel Regulations and work_bt7pyfijobbtbm4uwb77i2hgfm work_bvshrmnbrvdyjmr3keeijjnsce sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220988282 (wp-p1m-39.ebi.ac.uk) Time: 2021/04/06 03:05:31 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_bxbmpzxsijfjpapcjt5kdw6u3q sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220993610 (wp-p1m-39.ebi.ac.uk) Time: 2021/04/06 03:05:37 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_bxbstu7d2zbghpbu2ajkkwvcmy Please cite this article as: Rossi, A., Soldani, S., Lanzetta, M., Hybrid Stage Shop Scheduling, Expert Systems with The proposed Hybrid Stage Shop Scheduling (HSSS) model, inspired from a real case in the highfashion industry, aims to fully exploit the potential of parallel resources, splitting and overlapping which is able to model routing flexibility, and hybrid shop scheduling, which provides resource Example of mixed shop precedence graphs achieved by operation and routing flexibility (according to Stecke & Raman, 1995). No-exclusive OR nodes described by immaterial relations give alternative routing for the scheduler module in order to minimize the A disjunctive graph modeling a mixed shop for hybrid flowshop scheduling, with The hybrid stage shop scheduling problem can be represented by a weighted disjunctive graph as in The routing rule of the mixed relation M3 of job 4 at stage 2 is scheduled by overlapping operations work_bycggifu5rbtvaonvhceqkdy4y An optimum feature extraction method for texture classification algorithm, discrete wavelet transform and neural network for optimum feature extraction from texture images. 1. The presented first novelty in this study is, the using an effectively optimum feature extraction method that increases percentage of the correct texture image classification. wavelet filter and wavelet entropy parameter values for optimum feature extraction from texture images. (3) The feature extraction method by using db5 wavelet filter (FEM(3) The feature extraction method by using db5 wavelet filter (FEM(3) The feature extraction method by using db5 wavelet filter (FEMThese randomly chosen wavelet types, the entropy parameter values and the classification performance of the texture images were indicated in Table 5. Randomly selected wavelet filter and parameter values The correct classification rates for texture images (%) in the wavelet layer of GDWNN to the feature extraction from texture images was shown. work_bz6mzwgotffdppuuwaungqojhu Intrapartum fetal hypoxia (shortage of oxygen) is a serious complication of labour which increases the risk of perinatal mortality and morbidity, including hypoxic ischaemic encephalopathy Technological advancements during this time period led to the development of CTG, and this method of fetal assessment was subsequently introduced into maternity care in the late 1960s (Chez A related review found that in comparison to intermittent auscultation, continuous CTG during labour significantly decreased the risk of neonatal seizures (RR 0.50; 95% CI Moreover, several observational studies have reported significantly improved levels of agreement between practitioners interpreting fetal heart rate patterns and identifying adverse outcomes when assisted by an ES (Ayres-de-Campos 2010; Costa Two review authors (Jennifer E Lutomski (JEL) and Declan Devane (DD)) will independently assess for inclusion all the potential studies we identify as a result of the search strategy. work_bzykyau3grhq7dsab54mppmy5e program harmonizes chorale melodies using a generate-and-test method "executing" them, a logic-programming language called BSL (Backtracking specification Language) was designed, which appears to satisfy each of the abovementioned formula of a first-order language, such that if a BSL program terminates in some guide the choices made during the backtracking execution of a BSL program. skeleton of a musical piece with two primitive functions p(n,v) and a(n,v), representing the pitch and accidental of voice v of chord n, BSL lvalues of the form c[n].p[v] expert systems, we have designed the present knowledge-based method for describing the extension set, which appears to work, and succeeds in generating nontrivial A major part of the knowledge of the chorale program is based on constraints, or use of absolute rules for describing a real style of music, namely the Bach chorales. music.21 In the chorale program, we are using a natural extension of a heuristic work_c366uj3kb5glveyyljzrpcezki A decision-making framework for precision marketing A decision-making framework for precision marketing This paper presents a novel decision-making framework select attributes to cluster customers into different groups; third, it uses CHAID decision trees and Pareto study demonstrates that our proposed decision-making framework is efficient and capable of providing Recently, it has been recognized that precision marketing has become a key means of generating profit and is becoming increasingly important as customers enterprises have to create a decision-making model for precision is to propose a decision-making framework for combining various data-mining algorithms to achieve precision marketing of real the decision-making framework uses four data-mining models/ ratio method, and RFM model, for decision-making. a decision-making model for products'' precision marketing. proposed decision-making framework is more accurate due to its models or algorithms to derive a precision marketing strategy for A decision tree is an efficient data mining algorithm with a work_c3h37yn7zzcvxm3hom4avwnuza work_c3xo56fevbdmtf4nru5xrmau4q Maintenance of belt conveyors using an expert system based on fuzzy logic In recent years, conveyor belt transport systems have taken In recent years, conveyor belt transport systems have taken on a new significance due to developed solutions leads to considerable reduction in operational costs of transport Besides real-time measurements, the system enables a long-term analysis of historic data for every single joint that makes up the conveyor belt loop, from the moment of its rules applied, this system would increase the effectiveness and shorten the time of decisionmaking as well as verify generated signals. and inference rules to verify any potential false alarm signals at the same time. estimation of technical condition of conveyor belt joints [11] joint that makes up the conveyor belt loop, from the moment joints of conveyor belts should therefore also include an monitored conveyor belt joint DLtðwÞ, denoting the prediction in work_c4lxulprjva3tf3xvg4q34lx3i on neural projection models, which support data analysis in the context of country and political risk well distributed, both in large and in small countries, and with relatively low and high levels of political risk. MNEs in this group are found in small Latin American countries with higher levels of risk, namely El Salvador, This group includes several countries with very low security and tax policy risk levels, around average labour Group 2 includes countries with slightly below average risk levels in all the different aspects analysed. Finally, the last group also includes developing countries –for instance, Burundi, Congo, Togo and Tanzaniawith high scores in security, tax policy and market labour risks. As in the previous case, this group includes countries characterized by low levels of economic and institutional In general, countries are distributed into groups with similar levels of economic, political and institutional work_c4wisygkkjb6jiiafjsh5yovye of the searching behavior of human intermediaries revealed a routine for the selection of search keys-freetext or controlled vocabulary-along a decision tree. offers the capability, an intermediary system must examine each term of a request and consider its representation: as a controlled vocabulary key, as a free-text key, or desirable to use a common term as a free-text search key. preferably in combination with other search keys, in order to retrieve citations, select some relevant ones and review their indexing in an attempt to find descriptors that If suitable, searchers use a free-text key to inclusively search concepts that are not grouped together by search systems use of the free-text key students also Lastly, if a request is to be searched on several databases, searchers may map single-meaning terms to descriptors in only a few of the relevant controlled vocabularies. against the use of common terms as free-text search keys. work_c5ljkxxrgja5rfhpbw3y2kkwnq Granitto, Improved multiclass feature selection via list combination, Expert Systems With Applications (2017), doi: • We introduce new SVM-RFE feature selection methods for multiclass Feature Selection, Multiclass problems, Support Vector Machine Most methods available for feature selection on multiclass problems38 problem has been divided into multiple binary ones, the feature selection73 feature selection for multiclass classification problems. Table 1: List of ranked features for each binary problem. row shows the position of each feature in the ranking produced for the binary problem shown on each column. feature over all binary problems, and then using it to elaborate a final ranking159 Table 2: Matrix showing the position of each feature in the ranking of each binary problem. In this method, feature ranking is given by the average value of the relative162 where Ri is the ranking of feature fi in the final ordered list, used to select164 On the Artificial-3 datasets (all relevant features are useful for all classes)353 work_cdulhhfax5dwrkjqrb6ys52gae In this paper we consider the problem of colour-based sorting hardwood Keywords: Grading, Parquet, Sorting, Colour descriptors, Wood involves two different and clearly separated problems: 1) detection, localization and classification of surface defects; and 2) sorting products into lots Table 1: Summary list of methods for colour-based wood sorting. graded batch of parquet hardwood into different colour tones, among which ''as is'' or converted into different colour spaces, such as HSV, CIE Lab, etc. (2008) employed both device-dependent (HSV) and deviceindependent (CIE Lab) colour coordinates for sorting three different types In the following two subsections we review the colour descriptors (Sec. 4.1) and spaces (Sec. 4.2) considered in this paper. discuss the problem of converting colour data from a device-dependent space different colour spaces for image classification has in fact led, so far, to contradictory or inconclusive results. The comparative analysis showed no significant difference between the descriptors and colour spaces considered in the paper, work_cfhcpwq6dzacfhsrew347ia2um A Knowledge Base System to Control Construction Problems in Rigid Highway system to control construction problems in rigid highway pavements. Key words: Knowledge base system, construction problems, rigid pavements During construction process of rigid pavements, many problems and decisions engineer cannot overcome such problems,suggest suitable solutions, avoid their causes, and prevent same engineers in the sites of rigid pavement construction to control the problems facing them. Many problems can occur during construction of rigid pavement such as preparation of under-layers, A. Concreting under bad conditions: These are problems restricting the construction process like bad weather, The problems of the first category (Concreting under bad conditions) their descriptions, likely causes, and Table 1: Likely causes of the problems of concreting under bad conditions Fig. 1: Construction problems in rigid pavement diagram This problem may take place during any stage of the construction operation. work_cfxf43jr2zgf3jrpnztzb4jqb4 This special issue compiles recent applications of soft computing techniques to the management of enterprise within industrial and environmental sectors. In the paper by Jove, Casteleiro‐Roca, Quintián, Méndez‐Pérez, and Calvo‐Rolle (2019), a novel approach for fault detection in industrial processes, by means of unsupervised and projectionist techniques, is proposed. Torres, Troncoso, Koprinska, Wang, and Martínez‐Álvarez (2019) propose a Deep Learning approach, based on feed‐forward neural networks for big data time series, for predicting the electricity power generated by photovoltaic solar systems for the next day (at half‐hourly Consequently, the feature space is learned by a DenseNet network that consists of several dense blocks and transition layers, in order to obtain a good representation from the social lending data of many borrowers. Torre‐Tojal, Lopez‐Guede, and Graña Romay (2019) propose the application of machine‐learning‐based predictive systems for the extraction of biomass information from Light Detection and Ranging (LiDAR) data. work_chipkkw5ijhnbi3ca6hpz7jozm cluster analysis, fuzzy and rough set theories, neutrosophic computing, quotient space theory, belief functions, machine learning, Now we try to use fuzzy logical formula based on distance function to define granular systems. A simple fuzzy logical formula based on distance function spða; cjdis; d; xÞ is denoted as: least one level of a granular computing (GrC) outputs a fuzzy adjoint feature vectors of smaller scale n þ 1 level granules,such kind layered computing has strictly nested structure, (Fig. 1(a)), and is denoted as ''''nested layered A nested layered GrC is defined by the input and output relation of a granular computing on a granular system. logical layers, parameters can also be set according to these layers''functions, but a suitable small adjustment by back propagation is necessary, this is similar to the deep learning proposed A nested layered GrC is defined by the input and output relation of a granular computing on a work_chyoul2fuvf6jo3cuco3onjhom Insight SFI Research Centre for Data Analytics Insight Close Menu AboutShow sub menu PeopleShow sub menu Funded Investigators Funded Investigators Research and Operations Research and Operations ResearchShow sub menu European Funded Projects European Funded Projects BusinessShow sub menu Public EngagementShow sub menu NewsShow sub menu Newsletter Newsletter Spotlight on Research Insight Careers Insight is hiring! 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This paper develops a basic fault tree analysis of robots in order to obtain a For the equivalent redundancy based robot fault tolerant algorithms, two motors have been placed in each robot joint to The resulting expert system package, Robo-MEDIC (Robot Manipulator Error Detection and Intelligent Correction) will provide diagnostic assistance to the operator and will interface with In addition to the fault tree analysis, we are examining failures and testing fault detection schemes using a simulation of this information and to show how modeling errors or other uncertainties affect fault detection, we need to simulate the robot robot and then the sensors to the fault detection program and work_ckevfqmvd5eidkjrn3rfy5b4eq We propose a novel natural language processing task, ReliAble dependency arc recognition (RADAR), which helps high-level applications better utilize the dependency parse trees. We model RADAR as a binary classification problem with imbalanced data, which classifies each dependency parsing arc as correct A logistic regression classifier with appropriate features is trained to recognize reliable can outperform a probabilistic baseline method, which is calculated by the original graph-based dependency parser. aims to find a dependency parse tree among words for a sentence. Fig. 1 shows an example of dependency parse tree for a sentence, a classifier, the classification method includes three sorts of features and a process to construct training data. The most intuitive method is to use the probability of a dependency arc to denote its reliability. based on different learning schemes agree on one dependency arc, it will probably be a reliable one. Number of sentences and dependency arcs in training, development, and test set and work_cm2bnjuqhfdkbjahytaognrt2a Recent research shows that simulated annealing with orthogonal array based function (IONF) for simulated annealing with the consideration of interaction effects problems where interaction effects between variables exist, results of the benchmark tests significantly both the simulated annealing algorithms with the existing orthogonal array improved orthogonal array based simulated annealing was applied on the optimization of Keywords: Orthogonal array, interaction analysis, neighbourhood functions, simulated orthogonal array based neighbourhood function (ONF) in this paper. algorithm with the IONF on the optimization of emulsified dynamite packing-machine orthogonal array based neighbourhood functions (ONF), that has been applied in solving optimization problems where low interaction effects exist between parameters, ONF simulated annealing algorithms, which employ the standard neighbourhood function SNF of the solutions based on the three simulated annealing algorithms respectively for the six optimization problems compared with other simulated annealing algorithms, SSA and other two simulated annealing algorithms in this optimization problem. work_cmnxpvvmvfhmbamqm7uwgbfrqy Evaluating health facility access using Bayesian spatial models and location analysis methods Floating catchment methods have recently been applied to identify priority regions for Automated External Defibrillator (AED) deployment, to aid in improving Out of Hospital Cardiac incorporate spatial covariates on OHCA occurrence, but do not provide precise AED locations, which are critical to the initial intent of such location analysis research. highest priority, but placed more AEDs in areas with more predicted OHCA events in each Population-based strategies place AEDs in locations with high observed OHCA occurrence identifies precise AED locations that optimally cover as many OHCA events in a set distance The second is to evaluate the AED placement methods using geospatial models of accessibility. The second is to evaluate the AED placement methods using geospatial models of accessibility. weighted sum of the demand scores of an OHCA event from spatial area dkj within distance d0 work_cn4tyqxheranlecnhco2xwfcde Stochastic flexible flow shop scheduling problem (SFFSSP) is one the main focus of researchers due to the complexity arises from inherent Conventionally, in such problems each machine''s job process time current research we focused on a scheduling problem which a job is processed at the upstream stage and all the downstream machines get paper proposes a new more realistic mathematical model which considers both the PM and holding cost of jobs inside the buffers in the optimization algorithm (PSO) and parallel simulated annealing (PSA) methods under different random generation policies. Computational experiments revealed that the proposed algorithms embedboth desirable accuracy and CPU time. Among them, the PSO-PSAП outperforms than other algorithms in terms of makespan and CPU time especially for large size problems. Keywords: Stochastic flexible flow shop; Budget constraint, Preventive maintenance; Genetic algorithm; Simulated annealing; Particle makespan, and the second stage was optimized the biobjective function and integrates machines assignments work_cocjcgde7vgvpbfuwmkltp7vky The Liquid State Machine (LSM) is a method of computing with temporal neurons, which can be used pattern of all the neurons which feed-back in a sufficiently recurrent and inter-connected network. Twenty percentage uniform random connectivity with memory input to the detector. Twenty percentage uniform random connectivity with memory input to the detector. Twenty percentage uniform random connectivity with memory input to the detector. Twenty percentage uniform random connectivity with memory input to the detector. Twenty percentage uniform random connectivity with memory input to the detector. input, different amounts of ''''dead'''' neuron damage, average connectivity of 20% input, different amounts of ''''noise generator'''' neuron damage, average connectivity Histographs of correctness results in LSM networks with one hub distribution with different amounts of ''''noise generator'''' neuron damage. The architecture of the neural network detector was 204 input neurons (which were never taken from the neurons in the LSM work_cogaeulogjaplho23qnrwh6ynm Marc Oriol, Xavier Franch, Jordi Marco actividades en las distintas fases del ciclo de vida de los SBS (p.e., selección de servicios, despliegue, evaluación de niveles de acuerdo de servicio –SLA–, y adaptación). Sin embargo, los monitores actualmente disponibles en el estado del arte han sido diseñados para apoyar sólo un subconjunto de las la forma y enfoque adecuado para las distintas actividades del ciclo de vida. Para ello, hemos identificado los requisitos de las distintas actividades mediante (1) el obstáculos es que los requisitos de monitorización para cada tarea son distintos, y en Para validar nuestra propuesta, hemos integrado SALMon con plataformas que cubren las actividades del ciclo de vida anteriormente descritas.  WeSSQoS [1] (Selección de servicios): Sistema experto capaz de tratar con distintas estrategias de selección para servicios web según la QoS requerida. online testing for proactive adaptation of service-based applications, in Procs. for adaptive service-based applications, in Procs. work_cozpjz3benauvg56gi3my4mj74 Home Page: World Allergy Organization Journal Ansotegui, Motohiro Ebisawa, Yehia El-Gamal, Montserrat Fernandez Rivas, Stanley Fineman, Mario Geller, Alexei Gonzalez-Estrada, Paul A. Campbell, Victoria Cardona, Motohiro Ebisawa, Yehia El-Gamal, Stanley Fineman, Mario Geller, Alexei Gonzalez-Estrada, Paul A. The official journal of the World Allergy Organization, the World Allergy Organization Journal provides the global scientific and medical communities with up-to-date, quality content focused on the epidemiology of allergy, asthma, anaphylaxis, and clinical immunology. As an open access journal, WAOjournal can direct world-wide attention to the most important characteristics of allergy, asthma, and anaphylaxis, including current diagnostic and therapeutic options. This dissemination of quality information in an open access format will improve patient care on a global basis. Access this journal on ScienceDirect Open Access Journal We use cookies to help provide and enhance our service and tailor content. work_cp3ptydqtnh3vgmfprtemfs5u4 environment for the development of diagnosis-oriented expert systems; (2)diagnosis system for sleep disorders based on polysomnographic data, that acquisition and edition to reasoning explanation and knowledge-base validation, with there are some difficulties, concerning mainly two problems: the lack of a backwardchaining module (CLIPS has a forward-chaining inference engine based on the well-known PSG-EXPERT completely encapsulates CLIPS, under a Windows-based graphical user A Criterion in PSG-EXPERT is a new knowledge structure that replaces a set of if-then rules. PSG-EXPERT includes a tool, called CASE-BUILDER, to facilitate the Case data or sample problems are critical to the evaluation of a knowledge-based technical basis for developing an expert system for the diagnosis of sleep disorders using • Diagnosis of sleep disorders consistent with polysomnographic data, supporting: the development of diagnosis-oriented knowledge based systems applied to sleep disorders. data; representation of expert knowledge in terms of natural language like diagnosis rules; a A Second-Generation Expert System for the Diagnosis of Sleep Disorders work_cq2kwqg6oneihh37tsxgs2xlnm Graph embedding (subgraph isomorphism) is an NP-complete problem of great theoretical and online guidance of a user, and this paper examines how embedding information helps to implement the central operations of SYNCHEM.2: selection, application, and evaluation of chemical reactions. complexity of embedding and related problems in graph isomorphism and canonical chemical isomorphism and canonical chemical naming that currently have unknown computational time complexity and that bear upon the deep questions of containment Graph embedding is a central operation in all the following applications involving pattern matching and feature detection: canonical chemical nomenclature and indexing, chemical substructure searching, and synthesis discovery (3) Using embedding in SYNCHEM~, (4) Computational time complexity of embedding and related problems, (5) Techniques to speed embedding, (6) Summary and Graph (PSG) as in Fig. 1, in which a molecule is represented by a compound node, discovery embedding, nontrivial automorphisms and interactions between goal pattern, subgoal pattern, and host graphs often generate redundant compounds and work_ctmauypowbdg5nrhmjqlmxutk4 Situation awareness modelling is popularly used in the command and control domain for situation assessment and decision support. the entity agents provide functions including event classification, action recommendation, and proactive decision making. Keywords: Situation awareness; Context awareness; Decision support; Intelligent agents of the entity agents for context-aware decision support. Representing the knowledge of the physical world, terrain information forms the basis of all three layers of situation awareness as well as context-aware decision support. The primary role of an entity agent is to provide contextaware decision support in a command and control setting so Based on the user context, especially the goals and plans, an entity agent The event classification rule module assigns an appropriate message level to each incoming event that would be presented to the user according to the situation assessed. entity agent so that the sensed data in the situation awareness model are processed and filtered and only relevant work_cvclentnwreufbsg3hbh34iyly KEYWORDS" information retrieval, artificial intelligence, distributed expert system, knowledge bases, blackboard architecture, lexicon construction Document Expert~extended~effective Retrieval) is a research system intended to The CODER system is aimed at investigating issues of meaning representation and the effective matching of user needs with relevant (passages of) 5. Can rule-based processing allow more effective combination of bibliographic information about documents [21] with other factual and content process of information storage, representation, and retrieval based on a tailormade encoding o f knowledge (see [64] and the section on knowledge two expert communities, one for document analysis and one for retrieval. center of the figure are the shared experts and external knowledge bases these types and store them on the blackboard or in external knowledge bases. knowledge base or facts that relate to classes of objects in the problem universe. B., An expert system for document retrieval, A., Knowledge structures for information retrieval: work_cxgbziaonnb2fonutq7ug27pza to accelerator control and accelerator operation, some cooperation scenarios between diagnostic agents to a general method of exchanging hypotheses by cooperating expert systems which has been tested. result sharing cooperation amounts to exchanging diagnostic knowledge at different levels (partial Given the need to apply DAI techniques, CERN joined the ARCHON project as an application partner providing a large accelerator control system and two expert systems as a test-bed for the development The ARCHON Layers of each agent provide the functionality for cooperation, so that they can communicate to coordinate their tasks if necessary, similarly to human operators in a control room who decide A general method has been developed at CERN for cooperation which was applied to expert systems Our definition for a hypothesis even allows more: the unification of the concepts of control, diagnosis, maintenance and repair/recovery actions and represents therefore a handy way of implementing cooperation between agents executing these tasks. work_cxofegzdavaaxo4tk7bhxh6jii TITLE Expert Systems and Special Education. artificial ictelligence is expert systems technology which engages that make expert systems "intelligent" are identified and present and potential applications of expert systems to the field of developments have been termed "expert systems ". Expert systems have effectively generated rules and for the development of artificial intelligence (AI) products a number of expert systems has led to the development of training in computer science to build expert systems. development of complex expert systems is still clearly not a personal computers and a number of expert systems originally Expert System development tools for those machines as well expert systems in,special education. expert systems in,special education. Expert system product development efforts can have at "intelligent knowledge base" generated by the development of Hofmeister (1984) developed an expert syrtem *CLAS.LD" expert system for special education diagnosis is clearly knowledge bases as a result of the expert system development work_cxp44guqhraubbygiwash2hh4q A Study on the Conception of Generic Fuzzy Expert System for Surveillance A Study on the Conception of Generic Fuzzy Expert proposed fuzzy expert systems is presented to highlight the effect applications using fuzzy expert systems in medical diagnosis. of fuzzy inference systems in decision making issue. Let''s study with precision the three fuzzy expert systems While ECG is normal, the three fuzzy expert systems This research work aims to study fuzzy expert system for developed fuzzy expert systems are usually specific to studied Proposing generic fuzzy expert system for surveillance Three generic fuzzy expert systems were proposed. water pipelines," Elsevier -Expert Systems with Applications, vol. for steel making process," Expert Systems with Applications, vol. Ferreira, "A fuzzy logic based expert system for diagnosis and control Fault Diagnosis Based on Fuzzy Expert System," Chinese Journal of decision-making under fuzzy environment," Expert Systems with Fuzzy Sets and Systems, vol. work_cyju22gu4nbqnkszvac5a5m3oy Simple knowledge structures for perceptual classification expert systems A new approach is described for the development and structure of perceptual knowledge-based the tempo of movement of a computer-controlled graphical display of a particular body part to match the stimulus condition Parkinsonian tremor, an expert neurologist With this single rule-per-stimulus-condition format, a An alternative to single rules per stimulus condition is of the rules combining dimensions for a stimulus condition are found true or more than one is found true. when utilizing single rules per dimension, the total number of rules required to classify N stimulus conditions becomes a function of the formula: no. method to acquire knowledge for perceptual expert systems, it is proposed that the logical OR applies to perceptual detection problems. the stimulus change is not considered part of the detection process, each sensory modality may require a single Complex perceptual expert systems become conceivable as a combination of relatively simple detection and classification work_d37jg3ke6repxmxwbmn2psye6a MANAGERIAL EVALUATION OF INTERNAL CONTROLS 103INTELLIGENT SYSTEMS IN ACCOUNTING, FINANCE AND MANAGEMENT Expert systems for internal control evaluation are generally developed using either professional This study is unique in its focus on managers as users of an expert system for internal control backgrounds, work experiences, and knowledge structures, constructing an expert system for effective internal control evaluation by managers (as compared with external auditors or accounting evaluating internal control weaknesses and demonstrating that practicing managers can use this The knowledge incorporated into this expert system formalizes the expertise of an auditor experienced in evaluating an internal control system of the sales and collection cycle in medium-size to facilitate the transfer of the auditor''s internal control evaluation knowledge to management, an transfer of an auditor''s internal control evaluation knowledge to management. transfer an auditor''s internal control evaluation knowledge to management via the use of an expert work_d7yiarpyufhghlqmh2ogsmbrne sent the construc on concept of knowledge base for an expert system designed to support the decision making in car‐ A knowledge‐based medical expert system is designed to support decision‐making process in cardiac surge‐ ry where knowledge from medical guidelines, risk scales, and registries is applied to reason the medical procedure in a Cardiac surgery – overview of the knowledge sources Key words: expert system, cardiac surgery, knowledge base, decision‐making process (medical experts) and knowledge engineering will design a research model including the process of field knowledge knowledge in cardiac surgery based upon medical guideli‐ formal model of field knowledge in cardiac surgery for spe‐ mal model for field knowledge in cardiac surgery — Decision making process in cardiac surgery – concept of building an expert system — Decision making process in cardiac surgery – concept of building an expert system — Decision making process in cardiac surgery – concept of building an expert system work_dbs6u7zxgvhfxduglseygwz2yy development of new cancer therapies, based on pharmaco-cell kinetic modeling and the newest molecular a set o f frames, a deduction rule system, a n agenda-based c o n t r o l system, a n hierarchical planning describes an expert system for adjuvant breast cancer chemotherapy--based on few widely accepted and their relationships--and frames--that is data structures that model stereotype situations. its data base (the pairs item--value in the frames); if it does not find it, it tries to apply the rules rule-based system, a frame stucture, an agenda-based control, a planner, a data base about drugs, Frames also contain action blocks, which are sequences of tasks to be performed to fill the data in the frame "treatment", a rule for the task "select a treatment plan" is the following: gives treatment__type the value drug__combination if the performance status of the subject is work_dbv35sagorckbdvaob7uqlwxma Both algebraic and probabilistic rough set approximations are studied. a major application of rough set theory, is studied in probabilistic Keywords: rough set approximations, granular computing, decision-theoretic rough set model, rule induction, high rule induction in set-theoretic terms (Yao, 2001b). related issues of granulation, approximation and rule related issues of granulation, approximation and rule definable set containing A is called the upper approximation of A, written aprU=EðAÞ. suggested an accuracy measure of rough set approximation Many authors have studied the approximation of probabilities in the framework of rough sets, By incorporating the overlap, many authors have introduced and studied probabilistic rough set approximations probabilistic rough set approximations. probabilistic rough set approximations. obtain the probabilistic rough set approximation proposed With respect to the three regions of rough set approximations, we can construct three classes of rules. (2001a) Information granulation and rough set functions in the theory of rough sets, Information Sciences, 104, work_dc54mmloafb7te6x6fbwljgm2a In many complex decision situations the data available may not be sufficient to define a from the vagueness and the subjectivity in the assessment o f decision situations. o f quantification used to represent this imprecision are fuzzy set theory and operations. new interpretation o f the decision-making process in a fuzzy environment is motivated. Real-time processing constraints o f operational expert avionics systems are driving a algorithmic technique to integrate expert systems where the systems are allowed to use One approach to solving the integration problem is examined; each alternative is considered as a possible target, each j u d g e as one o f four expert The experts are allowed to use fuzzy numbers to quantify each target''s suitability within Four on-board experts are allowed to use fuzzy numbers because there is method for providing real-time data analysis. work_dcjnnv2pm5dtbbugqybghxj57q sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 221003289 (wp-p1m-38.ebi.ac.uk) Time: 2021/04/06 03:05:49 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_ddphwyykzngl5e4d6go2eoadsu Topic models can provide us with an insight into the underlying latent structure of a large corpus of documents. have been proposed in the literature, including probabilistic topic models and techniques based on matrix factorization. More recently, Non-negative Matrix Factorization approaches (Lee and Seung, 1999) have also been successfully applied to identify topics in unstructured text (Arora Firstly, to illustrate the issue of term instability, we consider topic models generated for r = 100 runs of randomlyinitialized NMF and LDA, with a fixed number of topics k = 7 1. Generation: Create a set of base topic models by executing r runs of NMF applied to the same corpus, represented as a document-term matrix A. NMF to this matrix to produce the final ensemble topic model. (b) Apply NMF with NNDSVD initialization to documents in A from the other (f −1) folds to generate k topics. 5. K-Fold ensemble topic modeling for matrix factorization work_df4os2mi6zcshcikihumzaazfm CASSIOPE: An expert system for conserved regions searches CASSIOPE: An expert system for conserved regions searches many years comparative genomics and analysis of conserved chromosomal regions have helped to CASSIOPE automatically identifies statistically significant conserved regions between multiple Conclusion: CASSIOPE makes it possible to study conserved regions from a chosen query genetic region and to infer conserved gene clusters based on phylogenies and statistical tests assessing the regions are frequently defined through BLAST [2] or alignment by similarity search to determine putative "orthologous" genes [3,4]. and databases (Phig''s [5]), Ensembl [6]) provide information on conserved regions across different species but even when they do use phylogenetic methods, there is no statistical processing assessing the significance of the conserved regions. conserved genomic regions requires phylogenetic orthology assessment, statistical testing, and as many available regions (conserved genes clusters in the same genome) new conserved regions with species that were not computed in Ensembl databases. work_dgj4alh4ljbztkeddln4v3m72u Improving direct mail targeting through customer response modeling Improving direct mail targeting through customer response modeling One approach to improve direct mail targeting is response modeling, i.e. a predictive modeling First, we introduce well-known statistical and data-mining classification techniques (logistic regression, linear and quadratic discriminant analysis, Response modeling identifies customers that are likely to respond better to the marketing campaign First, we will introduce the most popular response modeling methods to the direct marketing community. managerial insights on classifier choice are given to the direct marketing community taken into account the comprehensibility and predictive performance of the response model. the direct marketing field and its links with customer response 2. Direct marketing and response modeling Moreover, the market analysts project a 1% growth increase in direct mail spending for 2015, probability to respond to a specific mailing based on their past behavior is called the customer response modeling (Bose & Chen, 2009; work_dizww225ubapncnapx4igjacrq Proper irrigation system selection for strips, islands, and areas case study (A, and F), multi-stream spray gained the highest score conditions to assist proper turf irrigation system selection for narrow strip selection of turf irrigation system, according to site conditions. Table.3: Irrigation system scores based on experts judgment Subsurface drip irrigation (SDI) had a score of 0.4 at high wind 3.1 Proper irrigation system selection in different case studies: turf irrigation systems according to qualifier based on derived ES and case "C", the highest weight ratio of 4.49 was given to SDI and the ratio for alternative choices of proper turf irrigation systems, according to Fig.(10):Effect of water quality on score weight ratio for irrigation systems (11): Effect of wind losses on weight ratio for irrigation systems under Fig.(12): Effect of land slope on weight ratio for irrigation systems assist proper selection of irrigation system according to site conditions work_dmzaumeknjfqrivu467qln6fxu sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220983317 (wp-p1m-38.ebi.ac.uk) Time: 2021/04/06 03:05:25 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_do6p5ndkibcaro722dg3dx77ry Expert or knowledge-based computer proThe practical and empirically verifiable digrams are becoming an important operations agnostic rules of poultry layer management bodied in the XLAYER program is relatively performance data contain livability, egg prostraightforward. It attempts confirmation of duction, and nutrition information such as morall management problems contained in the knowtality, body weight, house temperature, egg analyze weekly layer flock performance data includes the type of feeding, egg gathering, as the XLAYER program has the ability to Management decisions about layer nutrition another XLAYER rule is invoked which actuBut, nutrition decisions also indirectly impact ally issues the management alert and preegg blend price through both small eggs and scribes a remedy. low production or low feed consumption and program''s diagnostics are about layer nutrismall egg sizes exist, the user is automatically tion Nutritional diagnostics include such work_dodmms5bzrctzhd32bmag6ieti is generated, our algorithm updates the candidate items frequency to reflect the discarded data examples Keywords: Classification, Data Mfining, Prediction, PRISM, Rule Induction, Online Security Experimental results using sixteen UCI datasets showed decrement on the number of items per rule. In particular, PRISM algorithm often employs the rule''s accuracy as a measure to generate the Having said this, eDRI is a RI algorithm that does not allow items inside rules to share training In other words, 33.33% of the PRISM classifier (2 rules out of six) covers just two data examples. The fact that our algorithm derived less rules by 42.85% than PRISM from a dataset not only minimises the classifier size but also covers larger numbers of training data examples per rule. number of items) derived by PRISM which each classifies few training data examples. of the classifiers generated by PRISM, OneRule, Conjunctive Rule, PART and eDRI algorithms. work_dsbwecuosjf2xookbqblodxboe PROCESS CONTROL USING A REAL TIME EXPERT SYSTEM The challenges and status of the application of expert system technology in process plants is In particular the problems of knowledge representation include the need to represent dynamic inference in real-time requires paradigms which use metaknowledge to focus the inferencing resources of the Finally the application of truth maintenance requires a temporal model of the time Artificial intelligence, Expert systems, Real time computer systems, Process control The work done to connect expert systems to on-line processes activity toward developing a real-time expert system references to this are (Arzen 1989a), (Aynsley, Peel and Morris 1989), (Byrd, Fisher and Mallett 1989), (Merris 1989), First attempts at using expert systems for process control knowledge bases can be run in real time. Knowledge-Based Control Systems: Systems and Knowledge-Based Approaches to Process Gensym real time expert systems move for Real-Time Process Control. Real-Time Expert Systems in work_ducj2hy2njcavhcab2qnqp4mee The paper describes the development of a prototype web-based expert system uses the knowledge of a pavement maintenance expert, or a specialist in possess limited knowledge of road construction or pavement maintenance. of pavement distress requires a significant amount of engineering judgment, and PWBKES Prototype Web-Based Knowledge Expert System The development of web-based expert systems for assistance in remediation knowledge foundation and is used principally by the proposed web-based expert working memory, the inference engine, the knowledge base, and the user interface. review of web based expert systems for flexible pavement Prototype Web-Based Expert System for Flexible Pavement Maintenance . Prototype Web-Based Expert System for Flexible Pavement Maintenance . Prototype Web-Based Expert System for Flexible Pavement Maintenance . Prototype Web-Based Expert System for Flexible Pavement Maintenance . Prototype Web-Based Expert System for Flexible Pavement Maintenance . Prototype Web-Based Expert System for Flexible Pavement Maintenance . Prototype Web-Based Expert System for Flexible Pavement Maintenance . work_dui2nfpcc5g5zd7r7f6mnwznvy Comparison of multilabel classification models to forecast project dispute resolutions Early forecasting of project dispute resolutions (PDRs) provides decision-support information for resolving potential procurement problems before a dispute occurs. classification and ensemble models for predicting dispute handling methods in public–private partnership (PPP) projects. the combined technique of QUEST + CHAID + C5.0 has the best classification accuracy at 84.65% in predicting dispute resolution outcomes (i.e., mediation, arbitration, litigation, negotiation, administrative resolution process is essential for PPP project success, this study focuses on identifying warnings of potential dispute resolutions prior This study applies multilabel classification models to early predict PPP dispute likelihood and potential resolutions, thereby alleviating the future adverse effects of disputes on project delivery, Differing from conventional construction project disputes, PPP project disputes may occur during the building phase, as well as among parties typically jeopardize a project plan via a time-consuming dispute resolution process that damages a government''s work_dvbjk5b4traj7hnli4juvqavvu sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220969455 (wp-p1m-38.ebi.ac.uk) Time: 2021/04/06 03:05:08 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_dwwzpxhm4naixfw5gkmce7vciu The journal will publish papers in expert and intelligent systems technology and Papers in multiagent systems, knowledge management, neural networks, knowledge discovery, data and text https://www.journals.elsevier.com/software-impacts https://www.journals.elsevier.com/software-impacts Business intelligence, Expert and Intelligent Systems, Machine learning, Data science, Natural https://www.elsevier.com/journals/expert-systems-with-applications/0957-4174/guide-for-authors The journal will publish papers in expert and intelligent systems technology and application in the Authors'' affiliations must be the institutions where the research presented in the article took place. https://www.elsevier.com/authors/journal-authors/policies-and-ethics/credit-author-statement Upon acceptance of an article, authors will be asked to complete a ''Journal Publishing Agreement'' (see Subscribers may reproduce tables of contents or prepare lists of articles including abstracts for internal https://www.elsevier.com/authors/article-transfer-service https://www.elsevier.com/__data/assets/word_doc/0007/98656/Permission-Request-Form.docx https://www.elsevier.com/authors/journal-authors/submit-your-paper/sharing-and-promoting-your-article https://www.elsevier.com/journals/expert-systems-with-applications/0957-4174/open-access-options https://www.elsevier.com/authors/journal-authors/submit-your-paper https://www.elsevier.com/authors/journal-authors/highlights http://open.mendeley.com/use-citation-style/expert-systems-with-applications Reference to a journal publication with an article number: https://www.elsevier.com/authors/tools-and-resources/data-visualization This journal encourages and enables you to share data that supports your research publication https://www.elsevier.com/authors/tools-and-resources/research-data https://www.elsevier.com/authors/tools-and-resources/research-data/data-base-linking https://www.elsevier.com/authors/tools-and-resources/research-data/data-base-linking#repositories https://www.elsevier.com/authors/tools-and-resources/research-data/mendeley-data-for-journals https://www.journals.elsevier.com/data-in-brief/about-data-in-brief/video-discover-the-benefits-of-publishing-your-research-data https://www.elsevier.com/journals/data-in-brief/2352-3409/open-access-journal https://www.journals.elsevier.com/data-in-brief https://www.journals.elsevier.com/methodsx https://www.journals.elsevier.com/methodsx https://www.elsevier.com/__data/assets/word_doc/0020/203528/MethodsX-Article-Template.docx AUTHOR INFORMATION PACK 6 Apr 2021 www.elsevier.com/locate/eswa 14 https://www.elsevier.com/authors/tools-and-resources/research-data/data-statement https://www.elsevier.com/authors/journal-authors/submit-your-paper/sharing-and-promoting-your-article/share-link work_dxkjxmdd4rcyna6xb27nflpnky LUND UNIVERSITY 221 00 Lund Larsson, Jan Eric Document Version: Publisher''s PDF, also known as Version of record Citation for published version (APA): Larsson, J. An Expert System for Frequency Response Analysis. An Expert System for Frequency Response Analysis. Department of Automatic Control, Lund Institute of Technology (LTH). General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study • You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove https://portal.research.lu.se/portal/en/publications/an-expert-system-for-frequency-response-analysis(ce0368c2-ad12-4677-b712-49253b60f2cd).html work_dysnlxuejre6janvqnq2i2u33e Configuration Irrigation schedule Based on Expert Systems Abstract: This paper presents configuration design knowledge to solve irrigation scheduling problem in agriculture domain and a general approach for configuration management It also introduces a Configuration Agriculture Irrigation Schedule (CAIS) tool that produces the configuration irrigation schedule design according to the CommonKADS generate a configuration irrigation schedule design Figure 1: Generating Configuration Irrigation Schedule Design solving method (PPSM), Meta domain knowledge The task reflects the general problem solving method irrigation schedule design, a generic problem solving components of the irrigation schedule design: task generated part of task knowledge of irrigation. sub_tasks: Propose mathematic irrigation schedule task: Propose mathematic irrigation schedule Figure 2: task knowledge of irrigation generations of the irrigation schedule design for any four parts: tasks, inference, domain model, and Figure 4: Detail Process of Generating Configuration Irrigation Schedule Design Generate domain model uses irrigation knowledge irrigation scheduling problem in agriculture domain work_dywup6up6rc7tp7op74xhhlw4q Carnegie Mellon University research repository Browse Browse Discover research from Carnegie Mellon University Follow AllCategoriesgroupsSEARCH Hide footerAboutHow to DepositPreparing DataDMP ToolDeposit SupportContactDeposit AgreementTermsPrivacyToolsFAQsDisclaimerSitemap figshare. credit for all your research. work_e33jb3yaejg5xkpmnufychoy6i Milan ŠEBÖK1, Miroslav GUTTEN1, Matej KUČERA1, Daniel KORENČIAK1, Tomasz N. This paper analyses the problem of thermal sensors, it examines the principles, functions and application for a non-contact temperature The knowledge in measurements of infrared radiance allows us to use the methods of thermovision diagnostics more effectively and infrared radiation (heating) to the form of real thermal source of infrared radiation is elevated temperature of the coefficient (emissivity) of the measured body [1]. The result of object temperature measurement T0, which objects with a temperature Te and emissivity εe. temperature of each object is measured, focusing on the temperature of each object is measured, focusing on the the temperature measurements of the electric joints and The result of calculated equation is the temperature of 2.  ddTdHH eee temperature differences of breaker phase F3 at the current Measured temperature of breaker (phase F1 and F3) parasitic effects of warming measured electrical systems. work_e42y4jqinjft5e4hy5lzm4utsy Intelligent query agent for structural document databases q expert system techniques to the intelligent query agent establishment and regard the structural document database as the expertise which can A new knowledge representation, named Structural Documents (SDs), is proposed to be the Chinese information retrieval system for personnel regulations by integrating knowledge-based and full-text searching techniques is In our experiments, the structural information of the documents can be acquired from the database using the knowledge extraction Keywords: Information retrieval; Document database; Intelligent agent; Expert system; Hierarchy clustering structural information is useful in querying the document IQA and whole structural document database system is also The approach undertaken in IQA is based on the assumption that the structure of reference books is a hierarchy So, the information of the structural hierarchy may be useful in retrieving document databases. / p The users want to get a set of documents which can be deleted from the query result. work_e45ah6d3gffmzaq4ar5j4tdvua Investigating the post-complaint period by means of survival analysis Investigating the post-complaint period by means of survival analysis handling on actual customer behavior throughout the time, whereas previous research has mainly focused on time-invariant or intentional Survival analysis techniques are used to investigate the longitudinal behavior of complainants after their problem recovery. Survival forests enable us to explore the evolution over time of the effects of the covariates under investigation. likely to influence customers'' future behavior and (iii) survival forests are a helpful tool to investigate the impact of complaint handling on future customer behavior, since its components provide evidence of changing effects over time. Keywords: Data mining; Customer relationship management; Consumer complaint behavior; Actual customer behavior; Proportionality; Survival forests complaint handling on customers'' actual behavior instead complaint data with complainants'' behavioral information complaint handling varies over time by means of survival complaint handling components on the customers'' next-buy work_e5cubmxbwrg7feb4cmck73ne2y Learning capabilities are needed for intelligent systems that can remain useful Why are the learning methods we know how to implement not being used to build or maintain expert systems expert systems, we need not only more methods but a better understanding of the criteria Inductive learning has received considerable attention since the 1950s, with several approaches now in our growing toolkit of programs that can assist in knowledge acquisition. cases of an expert system being built with the assistance of a learning program, have kept CAN MACHINE LEARNING OFFER ANYTHING TO EXPERT SYSTEMS? CAN MACHINE LEARNING OFFER ANYTHING TO EXPERT SYSTEMS? Expert systems offer a focus for development of new machine learning methods and better In research on machine learning, as on other problem-solving methods, new wrinkles— of expert systems at large seems unconvinced that machine learning has anything to offer Knowledge-based systems in artificial intelligence. work_e5xlnx3wejcfhbmov2bysmprpa Multi-document summarization based on the Yago ontology / Baralis E.; Cagliero L.; Fiori A.; Jabeen S.; Shah S.. Multi-document summarization based on the Yago ontology Sentence-based multi-document summarization is the task of generating a sentences and generate sound document summaries, an established entity In contrast, we aim at tightly integrating the ontology-based document analysis into the summarization process in order to take the semantic meaning Most of the recently proposed (constraint-less) sentence-based summarizers exploit one of the following general-purpose techniques: (i) clustering, (ii) exploits the Yago ontological knowledge base [41] to generate accurate document summaries. To generate a summary of the document collection an iterative procedure is applied to select the top-ranked sentences Yago-based Summarizer selects, at each iteration, the top-ranked sentence Hence, the summaries that were generated by Yago-based Summarizer are, on average, the most accurate and the summaries that were generated by Yago-based Summarizer and the other work_e6tit3rbvvdrhf7l63fvslnwxm [PDF] Online modulation recognition of analog communication signals using neural network | Semantic Scholar Corpus ID: 17309878Online modulation recognition of analog communication signals using neural network title={Online modulation recognition of analog communication signals using neural network}, In this paper, a neural network based online analog modulation recognition of communication signals is presented. The proposed system can discriminate between amplitude modulation (AM), frequency modulation (FM), double sideband (DSB), upper sideband (USB), lower sideband (LSB) and continuous wave (CW) modulations. A matlab graphical user interface (GUI) is designed to see the intercepted signal, its power spectral density, frequency and modulation type on the screen of the personnel computer… Expand Figures, Tables, and Topics from this paper Modulation recognition of RF carriers using neural networks View 1 excerpt, cites methods View 1 excerpt, cites methods View 1 excerpt, cites background A testbed for automatic modulation recognition using artificial neural networks Modulation recognition using artificial neural networks View 2 excerpts, references methods View 2 excerpts, references methods work_e77yzhiezbgvzom6xvhg4tcdui As modern search engines are approaching the ability to deal with queries expressed in natural language, full support complete Semantic Web Search using Natural Language (SWSNL) system. describing natural language queries is different from (independent of) the KB ontology. is stored in the form of ontology, which plays the fundamental role in the Semantic Web. We define our research as Semantic Web Search Using Natural Language (SWSNL). that retrieves a set of results according to a natural language query, operating in the Semantic Web field. The NLP-Reduce system [15] does not involve any advanced linguistic and semantic tools and depends on matching the query words to the KB instances. the Semantic Web, this term has multiple meanings, e.g. webpages are annotated according to a particular ontology (taxonomy) or named entities can be annotated with but Domain-independent Natural Language Interface for Querying Ontologies, in: 4th European Semantic Web Conference work_eahbqr7l4bf3jeq6c3vrqq7gf4 [PDF] An expert system for control chart pattern recognition | Semantic Scholar Corpus ID: 16009797An expert system for control chart pattern recognition author={Monark Bag and Susanta Kumar Gauri and S. This paper focuses on the design and development of an expert system for on-line detection of various control chart patterns so as to enable the quality control practitioners to initiate prompt corrective actions for an out-of-control manufacturing process. Figures and Tables from this paper Development of fuzzy logic-based statistical process control chart pattern recognition system Control Chart Pattern Recognition in Metal-Stamping Process Using Statistical Features-Ann View 1 excerpt, cites background View 1 excerpt, cites background View 1 excerpt, cites background View 1 excerpt, cites methods A study on the various features for effective control chart pattern recognition Recognition of control chart patterns using improved selection of features Feature-based control chart pattern recognition Feature-based control chart pattern recognition View 1 excerpt, references background work_eapnqloeu5dg5m3dkrhyhvqwgy An algorithm is proposed and applied to control an aviation platform with an incomplete domain theory. A previous work has augmented EBL to reach a deductive solution by combining two incomplete domain theories (Hirowatari & Arikawa, 1994). This paper aims to use EBL and analogy in order to generate useful control If comparing the technique proposed with that of derivational analogy (Carbonell, 1983), the analogue is a concept rather than a situation. The algorithm proposed differs from (Hirowatari & Arikawa, 1994) by increasing slightly the deductive closure of the program in order to apply analogical reasoning in more restricted form. to generate fuzzy rules which were executed in order to control the throttle of Analogy is required for the generation of all fuzzy rules during this experiment. However, no rules can be generated for pitch control, using the domain theory The fuzzy rules, generated by analogical EBL, affected the remaining battery charge. work_edr3aeu24nfxvhl7arsm5m7nou Results of OM working on ontologies extracted from Web documents are shown. A tool addressing goal (1) may take the form of a good parser that uses its previous knowledge about the subject (most likely, another ontology) The result would be a comprehensive ontology useful for computer extraction of information and knowledge. adopted by the W3C consortium as an standard language to represent ontologies in the semantic Web. The Knowledge in two functions previously defined elsewhere: COM (§2.4), which compares two concepts in different ontologies, and Explicit restrictions of a concept are known in other works as relations, properties or attributes of the The resulting ontology C is the original A increased by some concepts and restrictions of B that the function ext gets. In ontology C the concept Apparatus (System) has the restrictions (part; Apparatus The partition System of the concept Human body system in B is added to resulting ontology C, work_ehnrcr6edngixmx6qgbvy6fore Extracting expertise from experts: Methods for knowledge acquisition Fortunately, the process of translating expert knowledge to a,form ''Direct methods'' ask the expert to report on knowledge he/she can directly This set of methods includes interviews, questionnaires, simple observation, thinking-out-loud protocols, interruption analysis, rely on the expert''s abilities to articulate the information that is used; they collect other behaviors, such as recall or scaling responses from Interviews are the most common method for eliciting knowledge from the expert. expert''s knowledge of objects, relationships, and Like observation, above, the expert engages in normal task behavior with particular typical problems. They highlight the vocabulary the expert uses to identify the objects and their relationships; they highlight the kinds of inferences The fact that the experts were so clearly different from the novices suggests that this technique can reveal significant aspects of expertise, The expert/subject is asked to recall object names ten to work_eitdkhvy5fbkrew5k5ay456a44 Abstract: Researchers have developed artificially intelligent (AI) and expert systems (ES) to assist in the formulation, solution and interpretation of generic mathematical programs (MP). searchers also have built domain-specific systems either modeled around a mathematical program or researchers to extend the interpretation or formulation beyond that available from the generic set of mathematical program formulations of expert systems. understand the complexity of the expert systems and also to examine the feasibility of mathematical programming as an alternative solution methodology for those expert systems. Keywords: Expert systems; Mathematical programming; Artificial Intelligence AIlES systems generate good solutions. the researcher to develop systems that formulate programs based on general inputs from the user systems developed so far coupling AIlES and financial-based expert systems developed to date. problem and interpreting the solution, systems model analysis approach", Decision Support Systems 3, formulating linear programs", Decision Support Systems knowledge-based systems: A network and mathematical work_ej6l72na6rhrfd7levjj2olbt4 a discrete time system and a state feedback output deadbeat control is applied. A modified algorithm of the deadbeat controlled PWM inverter is suitable for time state equation and the proposed deadbeat control algorithm for PWM measuring of output, and controls the inverter switches to generate the required PWM pattern to produce a low THD sinusoidal output voltage. voltage equals the sinusoidal reference at every sampling instant, Fig. deviation of the output voltage from the reference due to a load disturbance or nonlinear circuits is controlled within one sampling interval Ts. (3) the deadbeat controller for PWM inverter is considered. The basic circuit for the deadbeat controlled PWM inverter with a two level Fig. 5 Two Level Deadbeat Controlled PWM Inverter Pattern Hue, C., Two-Level Switching Pattern In Deadbeat DSP Controlled PWM Control Of PWM For Sinusoidal Output Waveform Systems, IEEE Trans. G., Deadbeat Controlled Pwm Inverter With Two Level work_elhlxrp4mjdxfdm56dtpp5kjku Therefore, a discovery mechanism must be developed in such a way that a bridge between keywords written in a natural language, on one hand, and Web service descriptions provided using semantically work presented in our paper, it should be noted that, similar to many semantics-based Web service discovery frameworks, Paulraj and Swamynathan (2012) focus specifically on OWL-S. to establish a match between a user search query and a semantic Web service description. As an input, the SWSD framework requires a set of Web services that are described in semantic languages (e.g., WSMO (de Bruijn et al., 2005), WSMO-Lite (Vitvar et al., 2007), or OWL-S (Martin et al., the set of words gathered from the user input and from a semantic Web service description, resulting in two After the disambiguation of all words gathered from the user input and a semantic Web service description, one is left with several different sets of senses. work_emoco2eizzerpjy6bp5hn3agmu An integrated fuzzy AHPﾖELECTRE methodology for environmental impact assessment The aim of this paper is to propose an environmental impact assessment methodology based on an integrated fuzzy AHP–ELECTRE approach in the context of urban industrial planning. In the proposed methodology the criteria weights are generated by a fuzzy AHP procedure. fuzzy sets in describing uncertainties and vagueness in different environmental factors simplifies the A fuzzy outranking methodology, fuzzy ELECTRE is used to assess the environmental impact generated by the six different industrial districts which were predicted to shape the future Environmental impact assessment (EIA) is the process of identifying, predicting, evaluating and mitigating the biophysical, social, EIA enables environmental factors to be given due weight, along with economic Fuzzy methods may be very useful in dealing with complex and ill defined environmental decision making problems a selected set of EIA criteria in urban industrial planning context. assessment criteria are determined by a fuzzy AHP procedure. work_enf4y3q56fcfvebnjcr3eyu4da Ključne riječi: ekspertni sustavi, okolišni indikatori, mjere preferencije, Key words: expert systems, environmental indicators, measures of preference, scales, fuzzy logic, linguistic variables, aggregation prikazuju neke značajke i pravila konstrukcije ekspertnih sustava za primjenu u zaštiti okoliša u rudarstvu, a koji primjenjuju neizrazitu logiku. U zaštiti okoliša varijable koje se primjenjuju su okolišni indikatori. mjera preferencije koje nisu uvijek (ili nisu u pravilu) linearne funkcije. Mjere preferencije (korisnost, kao i ostale) u ekspertnim sustavima mogu se prikazati različitim ljestvicama, o Ljestvice mjera preferencije koje se koriste u ekspertnim sustavima Način prikazivanja neizvjesnosti za indikator okoliša (i) u lingvističkoj varijabli povoljnosti za okoliš s tri particije (podjele) neizrazitog skupa (1), (2) i (3) Primjer nelinearnosti u ekspertnim sustavima u rudarstvu je važno pitanje prihvatljivosti trajanja eksploatacije na površinskim kopovima, koje se često postavlja u Lingvističke varijable prihvatljivosti za okoliš, s pripadnim ljestvicama mjera preferencije (MP) i funkcijama udjela kao dio šireg ekspertnog sustava work_epdrsr6kbfaptbjgtkit66ji6i Most of expert systems use the text-oriented knowledge bases. expectations, in this study, we have tried to develop a general-purposed knowledge conversion tool for expert systems. Key Words: Decision tree, Expert system, Inference, Intelligent system, Knowledge base, Relational database. 2.3 Checking of Unlimited Circulation of Inference Rules circulation, we just need to check the Level number and Node window of the K-Expert and process of Open knowledge base. Fig. 3 The knowledge base stored in a MS-Access DB table information of Decision Tree (level #, Node#, Rule#, and Fig. 4 The Levels and Nodes in the Decision Tree The Fig. 8 shows the result of Knowledge Elicitation. Fig. 9 shows the RDB converted from the inference rules in In this study, we proposed a RDBMS-based knowledge A knowledge Conversion Tool for Expert Systems A knowledge Conversion Tool for Expert Systems A knowledge Conversion Tool for Expert Systems A knowledge Conversion Tool for Expert Systems work_eqp7tonlgvcolfqw4r6j5ps5bi In this research, two features, (E + F + M + R)/residue and charged/non-charged, are found to There are four thermostability classes of protein, psychrophilic, mesophilic, thermophilic (Huang et al., 2004) has identified a general model relating thermostability and ion pairs. specific protein structure and sequence information are available, We have developed a data-mining system to analysis the relationship between protein features and thermostability. builds a model based on given protein features and thermostability From a given feature set for a protein, the model will calculate the thermostability class of protein following these values (AVG.) and standard deviations (STD.) for the four performance indices based on 100 results using 11 features. protein, we use both models to predict the thermostability. An expert system to predict protein thermostability using decision tree An expert system to predict protein thermostability using decision tree An expert system to predict protein thermostability using decision tree work_eqqnsswvlng5fdijjwfahbe72q work_ese5a35olbgtnazmyggs7tkx3u Thus, the CTSHIV system couples efficient genetic sequencing with an expert program that recommends regimens based on information in the current medical literature. Rule-based expert systems (13,14) are computer programs that declaratively represent knowledge of a specialized problem and facts about a specific case? In the program developed for the current study (Customized Treatment Strategies for HIV [CTSHIV]), the rules encode information Complete set qf current rules qf the Customized Treatment Strategies for HIV expert program By rule I, AZT reduced by 0.12 because two sequences had TTG at codon 41 of the Resistance-related mutations in the HIV-1 protease gene of patients treated drug resistance during zidovudine therapy of HIV infection. Multiple mutations in HIV-l reverse transcriptase confer high-level resistance to zidovudine (AZT). Multidrug-resistant human immunodeficiency virus type 1 strains resulting from combination antiretroviral Nevirapine resistance mutations of human immunodeficiency virus type 1 selected during viral resistance to indinavir, a human immunodeficiency virus type work_ev5sudcnnrf5ddyn4x5riblkw4 Описаны возможности экспертных систем при работе в режиме ввода знаний и режиме консультации при разработке рабочих учебных планов и выборе студентами дисциплин по выбору. преимущества использования экспертной системы при разработке основных образовательных программ высшего профессионального образования. по ФГОС ВПО третьего поколения являются компетенции, сформированные учащимся в ходе обучения, при этом под термином компетенция понимается способность применять знания, умения и личностные качества для успешной деятельности в определенной области. Содержание компетенций, которые планируется формировать в процессе обучения в вузе, определяет состав дисциплин и содержание их программ, а, следовательно, поможет составить рабочий учебный план направлений подготовки, При этом можно работать как с самой экспертной системой, так и опосредованно, Использование экспертной системы при составлении рабочего учебного плана Во-первых, со временем система будет расширяться и накапливать соответствие компетенции и учебные дисциплины, что позволит использовать ее не только при составлении рабочего учебного плана одного конкретного направления подготовки, но и для множества образовательных программ. work_evgdqfryuze4lkand5nsb47sqq sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220980593 (wp-p1m-39.ebi.ac.uk) Time: 2021/04/06 03:05:22 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_evgugtyf3ne7dkovektow4doia [PDF] Fuzzy expert systems: an application to short-term load forecasting | Semantic Scholar Corpus ID: 53663668Fuzzy expert systems: an application to short-term load forecasting title={Fuzzy expert systems: an application to short-term load forecasting}, An expert system using fuzzy set theory is presented for short-term load forecasting. Figures and Tables from this paper Short term load forecasting using hybrid adaptive fuzzy neural system: The performance evaluation Short-term load forecasting by a neuro-fuzzy based approach Combined regression-fuzzy approach for short-term load forecasting Short term electric load forecasting using a neural network with fuzzy hidden neurons Short-term electric load forecasting based on a neural fuzzy network Short term load forecasting using fuzzy neural networks Short-term load forecasting methods: A review Short term load forecasting of Taiwan power system using a knowledge-based expert system An expert system based algorithm for short term load forecast A regression-based approach to short-term system load forecasting Short-term load forecasting work_ew2dceh4x5g5heioqvpyjyw2ge thermodynamics web-based software package for engineering education. In this paper, the chemistry module comprising of combustion and equilibrium analysis daemons composition, and equilibrium temperature of methane combustion as a function of equivalent evaluating adiabatic flame temperature, analyzing a combustion chamber for complete reactions, Although the ideal gas (IG) daemon can be used to evaluate a complete thermodynamic state of a The daemon has four different panels – Reaction, State, Devic The device panel of the open steady non-premixed combustion daemon showing the solution Problem in Daemons> Systems> Closed> Process> Specific> Combustion> Chemical Equilibrium page, Figure 13, launch the open-steady equilibrium daemon and switch to the Composition Panel. In the Reaction Panel of each daemon, select methane in the fuel block, enter a value of 1 examples on combustion and chemical equilibrium, and several daemons for the analysis of combustion daemon and yet extend their usefulness by calculating the equilibrium composition work_ewvk6lznwbfn3j56wv6u32zmjy Hyperledger Composer uses role-based access control (RBAC) model to secure role-based access control (RBAC) security model, it has been shown in the past that RBAC cannot perform attribute updates or the fined-grained usage In addition, we described a detailed permission model that enables the members of a business network and the owner of assets to specify usage-based The model has the capability to specify various types of policies depending on business needs, for example, allowing a specific asset to be accessed only for a specific time, with a specific computational power, or revoking an asset access from a user based on the occurrence of some defined condition. an extended usage control model on the smart contract implementation of Hyperledger Composer, which uses a blockchain to record every transaction on the distributed ledger. To define extended usage control permissions over assets, we introduce the concept of the participant state as well as updates to the operation, work_exsdmxannvandeuxlialp6kkxq In such a model, consumer choice ~haviour is explicitly related to a number of features or attributes of the shopping centres, including the distance between residential and shopping centre location. this model is used to predict the distribution of consumers over the alternative shopping centres, given their residential zone (see, e.g., Roy & Anderson, 1988). ence structures relate to hypothetical shopping centres, the effects of retail change on individual choice behaviour and turnover levels of the shopping centres in the study area may be predicted by generating new alternatives; these reflect the changes and enable choice behaviour to retail plans in terms of the attribute levels included in the conjoint measurement model. The application of choice models to problems of retail planning commonly involves research It allows the user (a) to construct designs and generate experimental tasks, (b) to input and control subjects'' responses to such experimental tasks, (c) to estimate preference functions and choice models from these experimental designs data, and (d) to work_eyrgzf5g7neibnpi4o2sfe6bii genetic algorithm is able to find a representation that improves speech recognition results. make phoneme key-features more evident, in order to obtain significant improvements in the classification results [1]. used for speech recognition is built from the mel-frequency cepstral coefficients (MFCC) [3], which are based on a linear model of voice production extraction of high quality features from continuous wavelet coefficients according to signal classification criteria was presented. based on the best basis wavelet packet entropy method was proposed for electroencephalogram classification. approaches have been proposed for the optimization of wavelet based representations using swarm intelligence [25, 26]. Therefore, the fitness function was defined as a phoneme classifier, based on the optimized learning vector quantization (O-LVQ) techprocess of filtering and decimation was performed to obtain six decomposition levels, obtaining a full wavelet packet tree consisting of 1792 coefficients. our optimized representation is also based on wavelets, and the same problem could be expected, no post-processing was necessary for GWP. work_eytfreollragxo26ezexsnsqqa Results: We show here that matrix memory models with associations modulated by context can Conclusion: Context-dependent associative memories can operate as medical expert systems. Associative memories are neural network models developed to capture some of the known characteristics of The neural module receives the input of two vectors: one representing the set of possible diseases up to the moment and the other vector corresponding to a new sign, symptom or laboratory result. This output vector is a linear combination of a narrower set of disease vectors that can be reinjected if a new clinical data arrives or can be processed to obtain the probability These 15 vectors representing the clinical presentation of the neonates with the diagnosis of suspected sepsis are shown in Figure 5. The set of signs and symptoms associated with three different diseases column vectors mapping signs and symptoms accompanying the i disease (also an orthonormal set), and � is the work_eyuc5thn3vajbhkgbinle2hjg4 hybrid genetic algorithm that optimizes capacitated vehicle optimizes capacitated vehicle routing problem", by Chung-Ho Wang and Jiu-Zhang Lu, presents a hybrid genetic algorithm applied to the Capacitated Vehicle Routing Problem have overcome the best-known solution in two instances of Christofides and Eilon CVRP Keywords: Capacitated Vehicle Routing Problem, Optimization, Benchmark, Best The discussed paper (Wang & Lu (2009)) presents a hybrid genetic algorithm solving the well-known Capacitated Vehicle Routing Problem (CVRP). reference in many works, as Prasad (2011); De CT Gomes & Von Zuben (2002); Campos best known solution (534 or 538.958) an objetive function that prioritizes the minimization of the routes is used, which leaves the minimization of the distance as the second found by the authors of the discussed paper would not overcome the current best value, for capacitated vehicle routing problem. Local search in constraint programming: Application to the vehicle routing problem. A hybrid genetic algorithm that optimizes capacitated vehicle routing work_eyuq3jyx6fazveygjt2ntiutji sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220996790 (wp-p1m-39.ebi.ac.uk) Time: 2021/04/06 03:05:41 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_ez3sps3eubcgxmhkxgye5viov4 predictions of international bank ratings than ordered choice models due to the formers Keywords: International banks, ratings, support vector machines, ordered choice models, specific dummy variables), as determinants of bank ratings using both ordered choice models country (fixed) effects within the context of modelling bank ratings, is an additional choice models and SVMs in terms of modelling and predicting individual bank rank ratings, We apply the SVM method to bank ratings data and compare its in-sample predictive for the ordered choice models these country dummy variables could not all be entered add 0.118 to the weights in the index for Argentina, Benin, Iran, Jamaica, Kenya, Lebanon, Mohgolia, Nigeria measures for both SVMs and ordered choice models that exclude country effects in an correct predictions for the ordered choice models including the country variable (predictions modelling and predicting bank ratings. ordered choice models and SVMs, for predicting and identifying the significant determinants work_f2kze3heqfe65gmxy6kg7fbuda Annoyance accumulation modeling in a community noise annoyance expert system Annoyance accumulation modeling in a community noise annoyance expert system annoyed by noise, simulation models for community noise annoyance are needed. paper to incorporate perceptual annoyance models for combined community noises. The expert system designed for community noise annoyance simulation, consists of an environment that allows to In community noise annoyance simulation, accumulation of annoyance caused by different sound sources is an If the total annoyance is called H, than the probability that an individual is annoyed to level i is given by the probability of simultaneous theoretical annoyance in the absence of the other source. In community noise annoyance calculations, introducing a secondary condition can often be very helpfulto accuratelyquantify F(HklAi, Bj)andto verify the independence ofexposure, Agoodexample are well localized sources Both exposure lead to a distribution of the population over annoyance levels. Botteldooren, "Vagueness and Uncertainty in Community Noise Annoyance Modeling;'' Proceedings Of work_f5c7couvdvce7lirhnifeq6hka Fuzzy expert system for diagnosing diabetic neuropathy diagnose the severity of diabetic neuropathy. M. Fuz­z­y expert system for diagnosing diabetic neuropathy. severity of diabetic neuropathy based on clinical exaTable 1 The degree of importance of the diagnostic parameters for diagnosing diabetic neuropathy from the specialists'' perspectives MNSI: Michigan Neuropathy Screening Instrument; HbA1c: Hemoglobin A1c; CBC: Complete blood count; FBS: Fasting blood sugar. diagnosed with diabetic neuropathy, while diagnosis diagnosing diabetic neuropathy in this study. In order to diagnose diabetic neuropathy, clinical examinations as well as results diabetic neuropathy based on clinical examinations and laboratory tests. Expert system for diagnosing diabetic neuropathy Expert system for diagnosing diabetic neuropathy Expert system for diagnosing diabetic neuropathy Expert system for diagnosing diabetic neuropathy Expert system for diagnosing diabetic neuropathy Expert system for diagnosing diabetic neuropathy Expert system for diagnosing diabetic neuropathy Expert system for diagnosing diabetic neuropathy Expert system for diagnosing diabetic neuropathy work_f7v4i2gs45es7gspubjuwpo2vq work_fhuo7yphnzdujox5ixsw6b6lfa items (questions) among those available to define one or several tests (questionnaires) subject to specific constraints and objectives. solutions provided by the SA deteriorates as the number of questionnaires increases, which may identify possible improvements if different solution methods solution in which questionnaires may only use one question from each set. In this case, the subset sum knapsack problem considers the optimal assignment of questions to one of the questionnaires (i.e., implicitly assigning the The optimal solution to the previously defined subset sum knapsack problem provides an optimal assignment of questions to questionnaires. To generate sets of instances with similar weights, the method initially obtains the difficulty π1t and discrimination effect ρ1t from the first question of each Finally, the quality of the proposed procedures is tested in computational experiments on instances with up to 60.000 item pools, up to 12.000 questionnaires, work_fisyw7slizc6tkjozwij2kimli IT to provide useful knowledge, extracted from humans or raw data, for decision • Analytics, Business Intelligence (BI), Data Mining (DM), Enterprise Information Systems (EIS), Knowledge Discovery (KD) in data, since the 1990s; related with the extraction of useful and understandable knowledge from raw data This special issue, entitled ''Recent Advances on Knowledge Discovery and Business 3rd Knowledge Discovery and Business Intelligence (KDBI) thematic track of the (related with both the 3rd KDBI thematic task and Expert Systems journal), and of the proposed approach was illustrated on synthetic datasets and real-world data Advances in Knowledge Discovery and Data Mining. His research interests include: Business Intelligence (Decision Support, Data Mining and Forecasting); and Artificial Intelligence (Computational Intelligence, Neural Manuel Filipe Santos is Associate Professor at the Department of Information Systems, University of Minho, Portugal, and leader of the Intelligent Data Systems Data Mining and Learning Classifier Systems. work_fk3j5lujubeqvghgryjz6fmxey This paper surveys expert systems (ES) development using a literature review and classification of articles from 1995 to 2004 with a keyword index and article abstract in order to explore how ES methodologies and applications have developed during this period. ES methodologies using the following eleven categories: rule-based systems, knowledge-based systems, neural networks, fuzzy ESs, objectoriented methodology, case-based reasoning, system architecture, intelligent agent systems, database methodology, modeling, and ontology case-based reasoning (CBR), system architecture development, intelligent agent (IA) systems, modeling, ontology, thermal engineering, decision support, knowledge management, knowledge representation, power electronics design, methodology of knowledge-based systems and their applications are categorized in Table 2. process fault diagnosis, ecological planning, control systems, uncertainly reasoning, knowledge integration, fault representation, knowledge learning, fault diagnosis/detection, medical applications, production planning, system knowledge-based systems to design decision aids. Knowledge-based systems and their applications Knowledge-based systems and their applications Knowledge-based systems and their applications work_fm6xz6iburcpxgxdmde7yho7jq models than a tensorial approach that uses a SVM to learn preferences. flexible enough to allow its use with different levels of knowledge about consumers or products; therefore the application field is very wide to grasp an assigns a utility value to the object, or by a preference relation, which compares two different items; see (Hüllermeier and Fürnkranz, 2013). The contributions of the paper are the following: (i) it presents a common framework for different approaches to learn preferences using matrix We present a general setting that includes, at the same time, a factorization framework and a tensorial approach: a SVM that uses tensor products two different vectors, the representation of consumers and items or products approaches when used to learn consumer preferences. The framework presented in this paper includes at the same time factorization and tensorial methods; both cases use the same learning algorithm with work_fmu36dlyd5h77k73ph7i57ew4a Model-based Expert System to Automatically Adapt Milling Forces in order to automatically select cutting parameters in milling operations. optimal front solutions can be obtained modulating the weighting factors of the cost function. Furthermore, a database which relates weighting factors, cutting conditions and cost function variables is As a result, the expert rule-based system selects Pareto optimal cutting conditions for a broad range of adaptive control of milling forces; the third covers constraints of the spindle and feed drives The admissible input parameter-space subject to cutting force control and spindle motor power Rule 10: Pareto optimal cutting parameter selection In order to achieve certain process or machine tool requirements in the cost function variables, cutting parameters are those which lead to a Pareto optimal value of the cost function depending Table 4: Weighting factors and their associated cutting parameters and cost function values. of an expert rule based system for cutting parameter selection in the milling processes. work_fn2casszyfgapaec5cjxvik37u sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 221000222 (wp-p1m-39.ebi.ac.uk) Time: 2021/04/06 03:05:45 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_fnploejenbc2raktl46esxm44i admissible measure may not be transformable to a finitely additive probability uncertainty measures are finitely additive conditional probability measures. (i) If an uncertainty measure p is admissible with respect to a score note that such an admissible uncertainty measure need not be a probability measure in the DeFinetti-Lindley uncertainty game: (1) all finite sequences uncertainty games with an additive aggregation function are considered in such that admissible measures cannot be transformed into finitely additive "conditional events," uncertainty measures, score functions, aggregation Although DeFinetti recognized the potential use of measure-free conditional events, in obtaining his key results a formal calculus of relations was probability measure is general admissible by taking the score functionf to Thus, an uncertainty measure p is not general admissible measure, Qr is a belief function on zl which is general admissible. probability measure and r > 1, then Be1 is general admissible by work_fntrwpzutnd5dni2qafymzmlca With the help of this environment, the development of fuzzy expert systems eliciting knowledge for constructing fuzzy rules and in defining the membership a fuzzy interface for expert systems shells, and a set of control rules for fuzzy KNOWLEDGE ACQUISITION FOR FUZZY EXPERT SYSTEMS KNOWLEDGE ACQUISITION FOR FUZZY EXPERT SYSTEMS and generating knowledge bases for fuzzy expert systems. and generating knowledge bases for fuzzy expert systems. and generating knowledge bases for fuzzy expert systems. grids to the development of fuzzy expert systems, which is d u e to the following Initially, experts are asked to provide numerical information for fuzzy values, and some default functions are employed. The knowledge representation and inference process in a fuzzy expert build fuzzy expert systems based upon the existing shells or tools. constructing fuzzy expert systems. 4-Smallpox, 5-Scarlet fever, 6-Exanthem subitum, 7-Fifth disease, 8-Meningococcemia, 9-Rocky repertory grid: new approaches to constructivist knowledge acquisition tool development," Int. J . work_fpkizchfqbclvbn2xcyfpjutpi Exploring expert system success factors for business process reengineering Ž .Business process reengineering BPR has become the buzzword representing dramatic changes Ž .expert systems ES providing a unique opportunity to study significant implementations of the dealing with business process changes significant enough to be called BPR were used. Ž .Keywords: Expert systems; Knowledge-based systems KBS ; Business process reengineering; Benefits; ES encapsulating expert knowledge and experience, ES enables organizations to support its customer support staff by distributing problem-solving knowledge to the entire Due to their effectiveness in improving existing business processes, ES have been recognized as important implementation vehicles for business process reengineering The purpose of this study is to empirically test the various factors affecting ES success automating existing business processes or making relatively small changes. Ž .cally tested ES success factors Yoon et al., 1995 . of these success factors are not unique to ES implementations. work_fqlqk53qyrc3le4yaygrmbhaoy The paper presents an automatic approach to the recognition of the industrial tools on the basis of their Machine vision systems are being increasingly used for sophisticated applications such as recognition and classification of different processes. industrial tools differing by the shape, size, location and orientation in the input field. values for the data belonging to different classes should be separated from each other as much as possible. Fig. 5 presents the distribution of the values of S(fk) for the succeeding features, averaged over all combinations of classes.As it is seen that the recognition of classes using only two diagnostic features The confusion matrix of recognition of 9 classes of industrial tools in the second set of The paper has presented the automatic approach to the recognition of the industrial tools by using the methods based on the artificial intelligence and advanced image processing. work_fs5diuqqzjehbijmzgwngicnyq Genetic Algorithm과 Expert System의 결합 알고리즘을 이용한 (Optimal Design of Direct-Driven Wind Generator Using Genetic Algorithm In this paper, the optimal design of a wind generator, implemented with the hybridized GA(Genetic Algorithm) and ES(Expert System), has been performed to maximize the AEP(Annual Energy optimized model 500[kW] wind generator using hybridized algorithm and benchmark result of compare Key Words：Direct-Driven Wind Generator, Optimization, GA(Genetic Algorithm), ES(Expert System), 설계를 수행하기 위해 최적화 알고리즘과 유한요소 4. GA와 ES를 결합한 최적화 알고리즘 4.2 전문가 시스템(Expert System) 되므로 똑같은 파라미터의 반복된 계산은 결과에 영 Branin 함수에 대한 GA와 ES+iGA의 결과 Genetic Algorithm과 Expert System의 결합 알고리즘을 이용한 직구동형 풍력발전기 최적설계 Genetic Algorithm과 Expert System의 결합 알고리즘을 이용한 직구동형 풍력발전기 최적설계 Genetic Algorithm과 Expert System의 결합 알고리즘을 이용한 직구동형 풍력발전기 최적설계 Genetic Algorithm과 Expert System의 결합 알고리즘을 이용한 직구동형 풍력발전기 최적설계 Journal of KIIEE, Vol.24, No.10, October 2010 Journal of KIIEE, Vol.24, No.10, October 2010 또한 1.5[MWh]정도 개선된 결과를 나타내었다. work_fspmmk7yhrgyjk26nsl2as3t7m [PDF] Application of fuzzy TOPSIS in evaluating sustainable transportation systems | Semantic Scholar Corpus ID: 14349198Application of fuzzy TOPSIS in evaluating sustainable transportation systems title={Application of fuzzy TOPSIS in evaluating sustainable transportation systems}, [...] Key Method Fuzzy TOPSIS is used to generate aggregate scores for sustainability assessment and selection of best alternative. Sort by Most Influenced Papers Selection of sustainable urban transportation alternatives using an integrated intuitionistic fuzzy Choquet integral approach Selection of Alternative Fuels for Sustainable Urban Transportation under Multi-criteria Intuitionistic Fuzzy Environment View 1 excerpt, cites methods Comparison of fuzzy-based and AHP methods in sustainability evaluation: a case of traffic pollution-reducing policies View 3 excerpts, cites background and methods Sustainability Evaluation of Transportation Policies: A Fuzzy-Based Method in a "What to" Analysis View 1 excerpt, cites background View 1 excerpt, cites background View 1 excerpt, references methods View 1 excerpt, references background View 1 excerpt, references background work_ftxkkedfivdpdbnwya6qnvm66m Symbiotic filtering for spam email detection that aggregates distinct local filters from several users to improve the overall performance of spam detection. Unsolicited bulk email, widely known as spam, has become a serious problem for network administrators and for Internet users in general. These class of algorithms use message features (e.g. word frequencies) for statistically discriminating email into (e.g. email users) interested on personalized filtering (e.g. spam detection). with a local CBF filter (i.e. Naive Bayes); iii) the spam detection performance not take into account the effect spamming botnets, where a large number machines are controlled for malicious messaging (Ramachandran and Feamster, on sharing of email filters among collaborating users. c = s or c = ¬s messages of Du. In (Nelson et al., 2008), it has been shown that local spam filters are vulnerable messages are ham, a robust filter should present low spam probabilities, near work_fu4sy3h4kvastowjmwh2xx3zeu General and specific formalization approach for a Balanced Scorecard: An expert system with application in health care General and specific formalization approach for a Balanced Scorecard: The Balanced Scorecard (BSC) presents the essentials of strategic and performance management in clear, The formalized expert system was implemented in an information system for health care management. 1. Which indicators are relevant for the clinical Balanced Scorecard? http://www.elsevier.com/locate/eswa 2. How to evaluate indicators of a clinical Balanced Scorecard? indicator system for each perspective in a BSC for a clinical application and how a utility function can be defined. In addition to utility functions a formalization of a general approach as utility values The definition is general and implies no assumptions of the implemented utility functions and aggregation. The functional criterion for evaluation of indicators for a clinical The aggregation function of the entire BSC for disjoint perspective evaluations Pj with j 2 {1, . work_fxfbp4hxrfcvvauhl4sgirwtmy Non-linear ionization of atoms and molecules in an intense laser field is a currently of and the Stark shift of the initial binding state of alkali atoms on the transition rate, as well as Based on the PPT theory, the ionization rate in linear laser field is given (VOLKOVA et Transition rate formula for linearly polarized laser field in cases of zero ionization process become increasingly influenced by the laser irradiation through two wellknown effects, the ponderomotive potential and the Stark shifts. The ionization rates, , , vs laser field intensity, . transition rates (with corrected ionization potential included) on the field intensity. a) Left, the ionization rates, , , vs laser field intensity, Figure 3: a) Left, the ionization rates , , vs laser field intensity; b)Right, the ionization rates , vs laser field intensity. b)Right, the ionization rates , vs laser field intensity. work_fyjswziacfg3pe4tfkp35fqd3q We first propose Distance Difference GEPSVM (DGEPSVM), a binary classifier that obtains two nonparallel Moreover, the proposed algorithm gives classification correctness comparable to that of LSTSVM and TWSVM, but with lesser unknown parameters. of very large sparse datasets (Guarracino, Cifarelli, Seref, & Pardalos, 2007) such as generalized proximal SVM (GEPSVM for short) GEPSVM obtains each of the nonparallel planes by solving the eigenvector corresponding to a smallest lower computational complexity and its better classification performance in terms of solving XOR problems with respect to standard SVM that find one plane that separates the two classes. algorithms obtain two planes by solving generalized eigenvalue Recently, a twin SVM algorithm (TWSVM for short), proposed by show the effectiveness of TWSVM over SVM and GEPSVM (Arun http://www.elsevier.com/locate/eswa LSTSVM in terms of solving XOR examples with different distribution and gives comparable classification correctness on standard TWSVM has different formulation from GEPSVM. work_g4xr6mfzkbcorko2azocjqkic4 work_g62e2dobdngjhn2zvfq6rzqmey real datasets and compared with other popular heuristics algorithm in clustering, such as GA, SA, TS, such as birds, ants, and bees for the purpose of search and optimization has become an emerging area of swarm intelligence and successfully applied to clustering. bee colony (ABC) algorithm based on the foraging behavior of 3. Artificial bee colony based clustering Scouts search the environment surrounding the nest for new food sources, and onlookers wait in A food source represents a possible solution to the problem to be optimized. In other words, the number of employed bees is equal to the number of food sources around the hive. The employed bee whose food source has been abandoned by the As other social foragers, bees search for food sources in a way Every food source has only one employed bee. number of employed bees is equal to the number of food sources. work_g65l3vvdijhoroo6zko6t3pm6m https://portal.research.lu.se/portal/en/publications/an-architecture-for-expert-system-based-feedback-control(f7b7cc68-31fb-4e83-b338-d48dffd9cf01).html An architecture for knowledge-based control is described where two concurrent processes are used for the knowledge-based system and the numerical into subtasks which are implemented as separate knowledge sourcee that can be rule-based with different Real-time expert systems, Feedback control An architecture for knorvledgebased control is described where two concurrent processes are used for the knowledge-basecl knowledge sources that can be rule-based with different inference strategies or procedural. Keyuords: Real-time expert systems, Feedback control adds to thc already high cognitivc burclc¡r that process operators are exposed to in modern control systems. I{nowledgebased control is a real-time expert system applicalion and, as suclì, contains several difEcult problems Knowledge sources can be rule-based with The operation of the knowledge-based controller involves the actiyation of different knowledge sources One knowledge source takes care of the actual control algorithm for knowledge-based control applications but is not Real-time operating systems for process control work_g6ejnwnypvf3blhqqz2iyiswry we propose a new direct approach to interval extension of TOPSIS method which is free of heuristic the real values of ratings of alternatives with respect to local criteria, and as a result, these ratings are presented by intervals. limitation is that they are based on the heuristic assumptions (usually without any analysis and clear justification) and provide interval ideal solutions that are not always attainable in the intervalvalued decision matrix. method, in this paper, we propose a new direct approach to interval extension of TOPSIS method which is free heuristic assumptions and limitations of known methods. solution of MCDM problems using interval extended TOPSIS method on the corresponding a-cuts (Wang & Elhag, 2006 ). to compare a direct interval extension of TOPSIS method we propose in this paper with other known approach es, it seems to be enough to compare the results obtained by our method with those work_g7vncqg54jbtlp6lcpqhvwtney DIVERSITY-BASED ATTRIBUTE WEIGHTING FOR K-MODES CLUSTERING information from categorical data input, it needs a clustering algorithm. Thus in this paper, we generalize a k-modes algorithm for categorical data by adding the weight and diversity value of each attribute value to optimize categorical data Keywords: categorical data, diversity, K-modes, attribute weighting. Example of simple matching approach for categorical data is k-modes [7]. matching dissimilarity clustering of data, replacing the means to modes. k-modes algorithm for clustering categorical data into account the frequency distribution of different attribute values can also be applied to the optimization of categorical data dissimilarity [1]. focuses on the k-modes clustering with diversitybased attribute weighting and the research contribution is distance values diversity to optimize the value 𝑥𝑥 in the data set D, defined as equation(1). Similarity and Dissimilarity Measure for Categorical Data in K-Modes The k-modes algorithm is widely used for clustering categorical data. work_gbi3ah5ymfdatpixrkkboizbqy This paper proposes a complete manual job scheduling solution to address these limitations using a genetic algorithm (GA) and an adaptive fuzzy inference system by further developing the seminal work reported in Yang et In particular, these inference systems are able to represent non-linear and high dimensional decision making problems as fuzzy rule bases. The experience-based fuzzy rule interpolation is particularly useful in this work for manual task completion time The completion time of a manual task is estimated by the experience-based fuzzy interpolation system as introduced is used in this work to initialise a fuzzy rule base for the estimation of the completion times of collate and pack tasks to optimise the lane planning and job scheduling, by minimising the time cost of the collate and pack operations and completion time required for the given task on a lane with 1 worker (i.e., z1 = 9.37) can be interpolated from neighbouring rules R1 work_gda2m7oyejgx3jjbieakuk7mru The determining factor in education reform is to declare the competence indicators of necessary educational behavior in primary and junior high school. for evaluating, comparing, and improving the effectiveness of competence indicators in the various publications for teaching materials in primary school based on different viewpoints. The ANP (Analysis Network Process) weights are based on the DEMATEL technique with the MCDM method for resolving the method that can improve, re-configure and select the aspired Intelligent Assessment Systems (IAS) for teaching materials to promote In the reform process, for all domains, the enriched rate of competence indicators for educational materials and methods is very ANP weights is proposed for addressing and reducing the performance gaps for each criterion, thus hopefully improving, re-configuring and selecting the aspired Intelligent Assessment Systems for An empirical study of Mandarin Chinese teaching materials in Grade 1 of primary school based on this system design of three publishers is illustrated to verify the effectiveness of work_geahfhvb5rfztb2f4bdpjuhmyu Problem Frames and Software Engineering A general account is given of the problem frames approach to the development of problem frames approach (which we will refer to as ''PF'') to software development, and to The machine interacts with the problem world at an interface of shared phenomena a. predicate or condition on the problem world that the machine is required to bring about. denotes references by the requirement to physical phenomena b of the problem world. in software engineering on the machine rather than the problem world. context of the problem worlds that provide their purpose, play the role that Vincenti''s wellunderstood devices play in the established engineering branches. Each subproblem has its own machine, its own problem world, and its own Composition concerns arise when subproblems have parts of their problem worlds in object of normal design by defining specialised composite elementary problem frames. Relating Software Requirements and Architectures Using Problem Frames; Proceedings of work_genlt3zrefdgplllgllgwnx3sm Using situation calculus for e-business agents Using situation calculus for e-business agents As the Internet grows, it is becoming less feasible for customers and merchants to manually visit each web site, analyze the information there, and make sound business decisions regarding the trading of goods or services. designed that are capable of automating the more routine, tedious, and time-consuming tasks involved in current trading processes. higher level agents may also be able to negotiate and make autonomous decisions and commitments on behalf of their owners. Our contribution is a situation calculus agent system developed for e-business. Keywords: Internet; E-business; Software agent In this new world, software agent technologies At one level, software agents can be designed to be capable level, agents can be designed to negotiate and make At a higher level agents are being programmed with Intelligent agents are being used to help businesses situation calculus opens new possibilities for agent work_ghay4mkd3nczpcfwazq6dhtatu A hybrid ant colony optimization for continuous domains A hybrid ant colony optimization for continuous domains hybrid ant colony optimization approach which combines with the continuous population-based incremental learning and the differential evolution for continuous domains is proposed in this paper. diversity problem in traditional population-based ant colony algorithms, differential evolution is continuous domain is mainly based on Gaussian probability density function sampling. (Pourtakdoust & Nobahari, 2004) employed a Gaussian probability density function whose mean and variance are adjusted during evolution to sample the continuous search space. (multivariate ant colony algorithm for continuous optimization) ACOR (ant colony optimization in Rn) (Socha & Dorigo, 2008) extended the population-based ACO with Gaussian pdf as pheromone update. A hybrid ant colony optimization (HACO) incorporating with continuous population-based 2. HACO: A hybrid ant colony optimization for continuous Then the two ant groups use the corresponding Gaussian functions to sample their values for each dimension. work_gi7vf2tj2rcrfmlo3g4ws6qj5q ייתכן שאתה מנסה לגשת לאתר זה מדפדפן מאובטח בשרת. הפוך קבצי Script לזמינים וטען מחדש דף זה. הפעל מצב נגיש יותר בטל מצב נגיש יותר דלג על פקודות של רצועת הכלים דלג לתוכן ראשי בטל הנפשות הפעל הנפשות [{"Title":"עברית","eldUrl":{"Description":" He","Url":"https://www.idc.ac.il/he"},"eldPageNotFoundUrl":{"Description":" /he/Pages/pagenotfounderror.aspx","Url":"https://www.idc.ac.il/he/Pages/pagenotfounderror.aspx"},"eldFooterListFullUrl":{"Description":" /he/Lists/Footer/AllItems.aspx","Url":"https://www.idc.ac.il/he/Lists/Footer/AllItems.aspx"},"eldMapDirectsByCarLink":null,"eldMapDirectsPublicTransport":{"Description":" דרכי הגעה בתחבורה ציבורית","Url":"https://www.idc.ac.il/he/Pages/directions.aspx"},"eldMapDirectsNavDestination":{"Description":" נווטו אלינו ב-Waze","Url":"http://bit.ly/get2IDC"},"eldBrand":"\u003cimg alt=\"\" src=\"/he/PublishingImages/heb70.png\" style=\"BORDER: 0px solid; \"\u003e","eldBrandAffix":"\u003cimg alt=\"\" src=\"/he/PublishingImages/heb36.png\" style=\"BORDER: 0px solid; \"\u003e","eldEventsLobbyPageUrl":"https:// ","eldShareWithText":"שתפו ב:","eldAddToCalText":"סמנו ביומן","eldWhatsUpLobbyPageUrl":"/he/whatsup/Pages/main.aspx","eldSearchResultsPageUrl":"/he/Pages/search.aspx","eldDefaultImage":"http://"},{"Title":"English","eldUrl":{"Description":" En","Url":"https://www.idc.ac.il/en"},"eldPageNotFoundUrl":{"Description":" /en/Pages/pagenotfounderror.aspx","Url":"https://www.idc.ac.il/en/Pages/pagenotfounderror.aspx"},"eldFooterListFullUrl":{"Description":" /en/Lists/Footer","Url":"https://www.idc.ac.il/en/Lists/Footer"},"eldMapDirectsByCarLink":null,"eldMapDirectsPublicTransport":{"Description":" Arriving by public transport","Url":"https://www.idc.ac.il/en/Pages/directions.aspx"},"eldMapDirectsNavDestination":{"Description":" Navigate with Waze","Url":"http://bit.ly/get2IDC"},"eldBrand":"\u003cimg alt=\"\" src=\"/he/PublishingImages/eng70.png\" style=\"BORDER: 0px solid; \"\u003e","eldBrandAffix":"\u003cimg alt=\"\" src=\"/he/PublishingImages/eng36.png\" style=\"BORDER: 0px solid; \"\u003e","eldEventsLobbyPageUrl":"http://","eldShareWithText":"Share on","eldAddToCalText":"Add to Calendar","eldWhatsUpLobbyPageUrl":"/en/whatsup/Pages/main.aspx","eldSearchResultsPageUrl":"/en/Pages/search.aspx","eldDefaultImage":"http://"},{"Title":"chinese","eldUrl":{"Description":" 中文","Url":"https://www.idc.ac.il/chinese"},"eldPageNotFoundUrl":{"Description":" /en/Pages/pagenotfounderror.aspx","Url":"https://www.idc.ac.il/en/Pages/pagenotfounderror.aspx"},"eldFooterListFullUrl":{"Description":" /en/Lists/Footer","Url":"https://www.idc.ac.il/en/Lists/Footer"},"eldMapDirectsByCarLink":null,"eldMapDirectsPublicTransport":null,"eldMapDirectsNavDestination":{"Description":" Navigate by Waze","Url":"http://bit.ly/get2IDC"},"eldBrand":"\u003cimg alt=\"\" src=\"/SiteCollectionImages/brand_eng.png\" style=\"BORDER: 0px solid; \"\u003e","eldBrandAffix":"\u003cimg alt=\"\" src=\"/SiteCollectionImages/brandAffix_en.png\" style=\"BORDER: 0px solid; \"\u003e","eldEventsLobbyPageUrl":"https:// ","eldShareWithText":"https:// ","eldAddToCalText":"https:// ","eldWhatsUpLobbyPageUrl":"https:// ","eldSearchResultsPageUrl":"https:// ","eldDefaultImage":"https://"}] דלג לתפריט ראשי דלג לתוכן העמוד דלג למפת האתר מה תרצו לחפש? המרכז הבינתחומי הרצליה עברית לימודים אקדמיים הבינתחומי הרצליה לימודים אקדמיים הבינתחומי הרצליה סגור טריילר סגור טריילר לעצירת הבאנר לניגון הבאנר סגור מודאל מפה ודרכי הגעה work_gif4gadfzngo3d44zddi5tyxym Hydroelectric power plant management relying on neural networks and expert system integration Hydroelectric power plant management relying on neural The use of Neural Networks (NN) is a novel approach that can help in taking decisions when integrated in a more general general architecture is composed of an Expert System and two NN modules: Acoustic Prediction (NNAP) and Predictive from the plant state variables, in order to prevent future malfunctions. about abnormal plant situations, and is based on neural nets trained with the backpropagation algorithm. Keywords: Predictive maintenance; Neural networks; ART; LVQ; Power plants; Expert systems The management systems of power plants continuously monitor di�erent features of several subsystems: valid ranges for variables, and to predict future abnormal situations from these values, using the expert advanced system for predictive maintenance incorporating audio and video) has been developed to forecast internal state variables (NN Predictive MaintenanceNNPM), and the other takes the spectral values of work_gihmwdoarrcofj5ql3ftyiqvze Thus, when compressing digital video, the user usually establishes encoder objectives or constraints, i.e. the maximum bit rate NSGA-II should maximize two objective functions: the quality measured by the peakto-signal noise ratio (PSNR), and the compression ratio (CR), which codec, which is based on the JPEG2000 image compression standard, and a mixture of intra and inter-frame techniques. this compressor alone, to perform real-time inter-frame compression using the proposed conditional tile replenishment method, The inter-frame technique adopted in MIJ2K is a real-time specific block-based difference coding, adapted to JPEG2000 streams. Overall functioning of the MIJ2K architecture, performing real-time selective tile compression and transmission. In this case, the JPEG2000 encoder should compress these tiles Each frame or still image in the video sequence can be compressed using JPEG2000 to a specific quality, which will determine NSGA-II we can select the best value for the Tile Size low level encoder parameter, which will be set at 32 � 32. work_givu6ffrhvdmlhy3rsho4ruonu Thermal-Hydraulic (TH) codes are used to simulate the response of nuclear safety systems under transient and ES proceeds by firstly identifying the (uncertain) system controllable variables (i.e., control rods position, feedwater flow rate, void fraction inside the steam generator, etc.) that most affect the system response by RSA; then, Keywords: Nuclear System, Expert System, Best-Estimate Thermal-Hydraulic Code, Safety Margins, Limit-State Safety remains a priority for Nuclear Power Plants (NPPs) design and operation, as the release al., 2015] for operator aid, based on the system response outcomes obtained from a ThermalHydraulic (TH) code and Regional Sensitivity Analysis [Wei et al., 2014]. th iteration of safety margins control, N,,1,0  (where 1N is the final number of Figure 1: limit-state surface G and failure boundary F of the analytical model m considered. The safety threshold γy is set equal to 155 bar and the resulting limit-state function G is given Figure 7: limit-state function G and failure boundary F of the pressurizer model m. work_gk74fystujhudgr5qfzyip62xq In this paper, performance comparison of evolutionary algorithms (EAs) such as real coded genetic algorithm (RGA), modified particle swarm optimization (MPSO), covariance matrix adaptation evolution strategy (CMAES) and differential evolution (DE) on optimal design of multivariable PID controller design minimization of IAE as objective using two types of stopping criteria, namely, maximum number of functional evaluations (Fevalmax) and Fevalmax along with tolerance of PID parameters and IAE. clearly indicate the better performance of CMAES and MPSO designed PI/PID controller on multivariable PID controller simulation results show the better performance of CMAES and MPSO algorithms as compared to the preTable 6 SBX crossover, MPSO, DE and CMAES on the optimal design of multivariable PI and PID controller for the binary distillation column Evolutionary algorithms based design of multivariable PID controller Evolutionary algorithms based design of multivariable PID controller Evolutionary algorithms based design of multivariable PID controller work_gkwile66brdu3haw7daczalhtm Davide Carneiro, Marco Gomes, Ângelo Costa, Paulo Novais, José Neves Games (RPG), Emotions, Conflict Handling Styles and Stress. main objective to develop an agent-based environment able to monitor, interact UMCourt, on the other hand, is a conflict resolution platform being developed Intelligent Environments can improve conflict resolution processes in many style of the parties in real time by analyzing the proposals exchanges against conflict resolution style or the level of stress). dispute resolution environment able to compile all this important information, detailed that allow simulating important user''s parameters: the personality traits determine their conflict handling style, a different approach was followed. personalized stress models based on the way users interact with the technological knowledge about the level of stress of the parties involved in the conflict It also allows to assign different conflict styles to each user group, 3 Intelligent Environments Supporting Conflict Resolution 3 Intelligent Environments Supporting Conflict Resolution work_glaaka4gpve2bihl6su7kfhsq4 Performance of a fuzzy expert system is related with how good the membership functions are normalized, tuned for a problem that are best suited for the problem statement by integrating subtractive clustering method for fuzzy expert system design. Subtractive clustering algorithm is used to generate the tuned membership functions automatically in accordance to the domain The proposed integrated design of clustering based fuzzy expert system acts in improving the accuracy and leads to a which acts in proposing a novel alternative designing ideology for integrated fuzzy clustering expert system in After applying the subtractive clustering algorithm an inference engine with the tuned membership functions will input and output files were initiated and radius value declared apply subtractive clustering algorithm the function for environment.The inference engine IE-2 obtained from subtractive clustering algorithm has its membership functions In this case fuzzy inference engine is generated with three input membership functions which work_glbzbrgusjfitil7ejqyhr2csq and interviewed Taiwanese higher education experts to integrate critical measurement criteria and construct a relation structure among measurement criteria for performance appraisal. utilized are assumed to be independent, each criterion may significantly influence the operation performance appraisal results. For the reasons above, we propose a more professional performance appraisal mechanism with more suitable measurement criteria for the three university types. measurement criteria were determined by summarizing the literature and interviewing Taiwanese higher education experts. However, there is inconsistency among different types of universities and the relationships between measurement criteria are not DEMATEL, and Fuzzy ANP, which accounts for complex relationships using them to construct a Pro-performance appraisal the relationship between the causes and effects of various measurement criteria into a comprehensive structural model based on the influence degrees using the measured criteria to form a super matrix. Due to the different measurement criteria involved, constructing a Pro-performance appraisal system (PPAS) for universities is work_gllq5p3brbdkrgmr5mdj2jger4 Abstract Fu zzy time series forecasting methods have been widely studied in recent years. which have seasonal effect are abundant in literature, the number of fuzzy t ime series approaches is limited. In this study, for the first time in literature, a new seasonal fuzzy time series approach which considers me mbe rship fuzzy C-means clustering method in fuzzification step and artificia l neural networks (ANN) in identification of fu zzy relation these studies involve first order fuzzy time series forecasting In order to obtain real forecasts of fuzzy time series at t determine the order of fu zzy time series forecasting model, fuzzy time series forecasting model where 5=k and 1=l . : A Novel Seasonal Fuzzy Time Series M ethod to the Forecasting of Air Pollution Data in Ankar a Seasonal fuzzy t ime series forecasting method proposed in fuzzy time series forecasting method which is proposed in work_gqak356lgvhjrj626xo3zo5m7u prototype software application for performing autonomous water end-use analysis and its In the present study, an attempt to automate the domestic water end-use classification process meters into a categorised registry of water end-use events (Nguyen et. sufficient level of data resolution to allow water end-use event categorisation. disaggregate this flow data into the ''richer'' water end use categories of consumption. study, HMM was utilised as the main classifier for water end use classification decision the volume, duration and flow rate of each water end use category) will be determined using manually complete the water end use disaggregation process as well as for statistical analysis extensive dataset of high resolution flow data and associated water end use event registry water flow data into end use event categories. event into an appropriate water end use category. water end use event pattern recognition system. 3) Apart from the water end use event time-of-day likelihood functions that have been work_gqmnbfeeevb27g4yjxdcqdqpmi Traditional mean-variance financial portfolio optimization is based on two sets of parameters, estimates for the asset returns and control the population that enhances the reliability of the solutions provided by MOEAs. The process of optimizing the risk and return of a portfolio relies on two parameters: the estimates for the expected MOEAs testing the population for different values for the parameters, and selecting the portfolios that consistently Optimizing for a single scenario, a set of expected asset returns and the use of a single variance-covariance matrix, process would favor the individuals that show good performance in terms of risk and return over different scenarios, Solutions resulting from different runs of multiobjective algorithms must be compared using quantitative metrics. • Estimation Error: It evaluates the average difference between the expected risk and return for every portfolio Portfolio optimization problems in different risk measures using genetic algorithm. work_gr5hjfqjdrfy5oniy6sunevkny the applicability of the associative neural networks to the classification of imbalanced data. methods at the algorithmic level modify the existing learning models for biasing the discrimination process towards the minority class; the data level solutions • To explore the performance of the hybrid associative memory with translation and compare this against other popular classification methods of different nature; 2013; López et al., 2012, 2013; Yu et al., 2013, 2015), which consists of generating skewed data sets with different levels of class imbalance. is imbalanced; (ii) to find out whether there exist differences in its behavior depending on the imbalance ratio; and (iii) to determine how the application of resampling strategies affects the effectiveness of the HACT classifier. over-sampling algorithms degrade the effectiveness of the HACT classifier, especially with the SMOTE method (RBF, SVM and NNge perform significantly A kernel-based two-class classifier for imbalanced data sets. work_grruuptu7zbyrfv7w7nmxmz3fi Optimal path planning in a ubiquitous network considers the needs of users and the surrounding context. path planning mechanism based on spatial conceptual map (SCM) and genetic algorithm (GA), referred and the context of his surrounding environment, such as user preference, location, network connectivity, bandwidth, service availability and quality of service (QoS). optimal (shortest) path given constraints, such as higher bandwidth, available service and QoS guarantee. Consequently, planning an optimal path (shortest path) based on various contexts that best fit the user requirements is an essential issue. Therefore, the proposed UbiPaPaGo mechanism adopts a GA-based approach to obtain the optimal path. This study develops a human-centric, context-aware and intelligent path planning mechanism to satisfy individual user requirements in a ubiquitous network. UbiPaPaGo considers requirements and contexts of users and environment when planning the best-fitting path. UbiPaPaGo: Context-aware path planning UbiPaPaGo: Context-aware path planning UbiPaPaGo: Context-aware path planning work_gtlsaeip3jeprhm4mykzjjhvba We have developed MAESTRO, a Model And Expert System Tuning Resource for • A mouse-based manual interface to select and control magnets and to view Tuning is the art and science of optimizing the performance of a machine for a desired Tlie second approach is model-based tuning, where an on-lins simulator of the system advantage that a complete set of tuning parameters can be determined using the model and The third approach is to tune manually, but to provide the operator with more powerful MAESTRO directly couples the beamline model to the machine representation in order simulation model and accelerator in relative agreement, tuning can be done by using the from the simulator, showing the horizontal beam position vs location along the beamline as assistant to an operator in tuning complex systems such as particle-beam accelerators. The model-based approach makes use of a beamline simulator The third approach lets the operator manually perform tuning and provides him work_gtr6ulhdsrgaxlb6rri4jrwvra A b s t r a c t T h e use of fuzzy decision tables as a programming language for representing both the Decision tables (DTs) are compatible with most programming languages, including generalpurpose languages such as Ada and C as well as special-purpose languages such as LISP [6] This idea is quite old; numerous rule-based expert systen~ incorporating decision-table DTs are suitable for expressing fuzziness in expert systems in a number of ways. Examples of the application of fuzzy procedural DTs to the design of expert systems appear , and / are fuzzy max, min, and diff operators.) A corrected version is given in Table Fuzzy DTs can be used to express the knowledge base of an expert system. Lew, Proof of correctness of decision table programs, Computer Journal 27,230-232 (1984). in rule-based expert systems, Int. J. Fuzzy decision tables for expert systems 115 work_gv6cgj4ojjaqpj6znvialeabaq sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220980256 (wp-p1m-39.ebi.ac.uk) Time: 2021/04/06 03:05:21 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_gwrgldbvi5amdc6a3gmpm33lzi BRIDGE DAMAGE ASSESSMENT THROUGH FUZZY PETRI NET BASED ABSTRACT: The reliability of the techniques adopted for damage assessment is important for bridge management systems. It is widely recognized that the use of expert systems for bridge damage assessment is a promising the management of uncertainty and imprecision, the efficiency of fuzzy rule based reasoning, and the need of expert systems based on proposed fuzzy Petri nets, called fuzzy Petri net based expert systems (FPNES) (Lee et al. nets to model fuzzy rule based reasoning (Lee et al. bridge the gap between fuzzy rule based expert systems and To develop our modularized rule bases for damage assessment of bridges, we define the scope of knowledge domain, After executing FPNES for damage assessment of the DaShi bridge, the hierarchical fuzzy Petri nets were constructed Petri net based expert system (FPNES) for bridge damage assessment, which contains a reasoning mechanism to deal with work_gxb3jgybnreolk7frlfntepowa processes, Self-Organizing Map (SOM) and Case Based Reasoning (CBR) by changing an unsupervized clustering problem into a supervized recommendation based on SOM cluster-indexing CBR with validation against control algorithms through an open dataset of user preference. Keywords: Collaborative filtering; Recommendation system; Self-organizing map; Case-based reasoning based on preference ratings information to match users with recommend items that those similar users like (Breese, item or page, the ratings of users, content-based filtering, information about each item in predicting user preferences. most similar cluster is inferred from reference users indexed The process of the cluster-indexing method is exemplified in Fig. 4 If an active user''s preference rating {5, _, 2, Computation example of SOM cluster-indexing CBR CF model. SOM cluster-indexing CBR CF model Proposed model SCP SOM cluster-indexing CBR CF predictor The collaborative filtering recommendation based on SOM cluster-indexing CBR SOM cluster-indexing CBR CF recommendation SOM cluster-indexing CBR CF recommendation work_gxz4onlrcfhvvpeojp5vphrspm in order to reduce noise effect in bearing fault diagnosis systems. Combination (IBC) technique – they provide high robustness to different noise-to-signal ratio. to produce a high amount of vibration signals, considering different defect dimensions and noise levels, Vibration analysis has been the most employed methodology for detecting bearings defects (Thomas, In this paper, a classification system based on the fusion of different SVMs is proposed to detect early defects on bearings in the considering different defect dimensions and noise levels, the BEAring Toolbox (BEAT) is employed in this work. these shocks excite the natural frequencies of the bearing elements, the analysis of the vibration signal in the frequency-domain, by means of the Fast Fourrier Transform (FFT), has been an widely employed as input features to train a bearing fault diagnosis classifier. RBF = Radial Basis Function, GA = Genetic Algorithms, HMM = Hidden Markov Model, MFCC = Mel-Frequency Complex Cepstrum, SOM = Self-Organizing Maps, RVM = Relevance Vector Machine, QDC = Quadratic Discriminant Classifier, work_gyqaanb5hjhwxh4biznmhtgdie work_h3tr2rthlzcvjd25zrvvtxerdq sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220982273 (wp-p1m-39.ebi.ac.uk) Time: 2021/04/06 03:05:24 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_h6qrlbjhb5hdnacqgfcwkwzr4a Perhaps the most popular fuzzy DEA model is based on -cut. We introduce the concept of "local α-level" to develop a multiobjective linear programming to measure the efficiency of DMUs under Keywords: Fuzzy data envelopment analysis; interval data; local α-level, Several approaches have been developed to deal with fuzzy data in DEA. event; hence he transferred fuzzy DEA model to possibility linear programming be introduced to DEA in the following fuzzy linear programming model. local α-level for a fuzzy number which is corresponding with the figure 1a. Using the concept of local α-level in model (2) the following fuzzy linear In the methods based on α-level approach, all fuzzy numbers are dealt Table of efficiency using Kao & Liu fuzzy DEA model Fuzzy efficiencies of DMUs using the proposed model and with different Table of efficiency using proposed fuzzy DEA model the assessment of efficiency with DEA models, Fuzzy Sets and Systems. work_h7puv6wucjfeddwp6khk7y4mb4 Followee recommendation in Twitter using fuzzy This fuzzy approach handles recommendation as a link prediction problem and uses three types of similarity between a profiles are, in turn, obtained by considering Twitter as a heterogeneous information network. Keywords: fuzzy systems, recommender systems, Twitter, link prediction, expert systems, artificial intelligence recommendation (Newman, 2010), V contains vertices of different types (papers and authors / buyers and products / users, resources, and tags). them does followee recommendation in Twitter using a fuzzy-based method recommendation in Twitter using various methods and fuzzy approaches for areas: fuzzy expert systems and followee recommendation in Twitter and fuzzy system to be able to recover the target user''s followees as recommendations. A new fuzzy system for followee recommendation in Twitter has been proposed in this paper. followee recommender system for information seeking users in Twitter, in topology-based approach for followees recommendation in Twitter, in work_hc6qtyai7nco3l6j6os32vtjnm Construction of Powerful Online Search Expert System Based system based on semantic web for online search using three research topics (Semantic Web, Expert System and Semantic web Ontology will be considered as a set Keywords— Expert System, Semantic Web, Online implementation of the Semantic Web. Ontologies representation for the Semantic Web. It is a data addition to expert knowledge related to the domain. In [7] proposed an ontology-based information presented using a Semantic Web Expert System Shell ONTOLOGIES IN SEMANTIC WEB ONTOLOGIES IN SEMANTIC WEB research topics (XML, Semantic Web, and Expert http://www.obitko.com/tutorials/ontologies-semantic-web/resource-description-framework.html http://www.obitko.com/tutorials/ontologies-semantic-web/resource-description-framework.html get the result from the XML file (Knowledge base) that Figure 5: Semantic Web Architecture in Layers Figure 5: Semantic Web Architecture in Layers http://www.obitko.com/tutorials/ontologies-semantic-web/rdf-query-language-sparql.html http://www.obitko.com/tutorials/ontologies-semantic-web/rdf-query-language-sparql.html software is an XML Semantic Web website, we In this paper, an expert system based on semantic Semantic Web, Expert System, and XML. Web-enabled knowledge automated expert system. work_hcjgrs4vozhbvoev4fpe5y2x4m Sustainable development is of great significance in rural areas of China, which are under coupled pressures of poverty reduction, environmental protection and economic development. Interactive relationships among objectives of socio-economic development and environmental protection, as well as the related policy implications and public responses, were comprehensively examined for acquiring knowledge of sustainable development, but also providing basic information for the formulation of relevant policies and strategies in rural areas of China. tools for aiding in acquiring and analyzing public''s perception towards local sustainable development and promoting the involvement of various stakeholders in rural areas of China, which can few of them suggested a universal tool for not only enhancing public participation but also improving effectiveness of decision making in environmental protection and socio-economic development. There were few studies which could comprehensively and dynamically integrate public participation into sustainable development schemes in rural areas. work_hecle6dizjhqjliitfldf33z6m Semantic similarity measures exploit knowledge sources as the base to perform the estimations. regarding semantic interpretation of terms many ontology-based similarity measures have been the art ontology-based approaches in terms of accuracy, while retaining a low computational related works in ontology-based semantic similarity/relatedness estimation, classifying them in In this section, we survey and compare related works in ontology-based similarity notion of minimum path distance, feature-based approaches assess similarity between concepts Feature-based measures exploit more semantic knowledge than edge-counting approaches, 3. A new feature-based measure exploiting taxonomical knowledge From the study of ontology-based semantic similarity measures presented in the previous This paper provides an up-to-date survey of ontology-based semantic similarity measures that Differently to the other feature-based approaches, this measure only relies on taxonomic Measuring Semantic Similarity between Biomedical Concepts An Approach for Measuring Semantic Similarity between Semantic Similarity between Concepts from Different Ontologies. Measuring Semantic Similarity Using WordNet-based Context work_helpidgwavcrvfyywi2ro6i5sa Decision support for foreign investment strategy under hybrid uncertainty Decision support for foreign investment strategy under hybrid uncertainty However, the multinational firms moving their operations abroad still face both the risk of foreign price and the risk of foreign exchange rate. price and the interest rate evolve stochastically as proposed by many scholars, we can anticipate the randomness of the foreign exchange rate. implication of this work is that the optimal investment strategy for the multinational firms with foreign from volatile product prices but also from foreign exchange rates. consequence, the game of currency arises, making the foreign exchange market more volatile and weakening the profits of multinational firms with foreign operations. According to the purchasing power parity (PPP), the relationship between the foreign exchange rate and the price has price, and the interest rate as a hybrid uncertainty for those companies with foreign operations. entry strategy for the foreign operations and obtain the corresponding real option value. work_hf2e4ztvcnd2nffwbuqu6amt7q Lein, 1992; Leung, 1993; Robinson et al., 1987; Smith and Yiang, 1991; Zhu and A vector class in an expert system, defines the state and behaviour of GIS vector layers. Each object representing a GIS layer inherits a constructor method called inherit a display method which instructs the GIS to draw the object appropriately. SES (Spatial Expert Shell) integrates two commercial products: the GIS ARC/INFO A spatial expert system application can be developed by creating objects belonging to In Figure 4, sub-object soil_1 inherits GIS slots and methods from the object inherits GIS slots and methods from the vector class. processes allows the spatial and knowledge-based functions of the two systems to be object/rule-based expert system shells that support client/server functionality. example, an expert system server can inform a GIS client of the validity of a value, or Integrating GIS and spatial data expert systems with database management and GIS. work_hhxlyuwirvgnbmdyk4kpgbo35e ontology evaluation focus on the used criteria and model domain. that uses a reasoning tool as distributed expert system based on symbolic structures of facts and rules. evaluation approach is independent of the conceptualization of domain model and considers the main features of Keywords: Semantic Web, Ontology, logic, owl, consistency, subsumption, instantiation, DIG. Ontology evaluation remains a significant problem in Semantic Web. The literature contains many definitions of In this paper, we propose a new approach that uses a reasoning tool as distributed expert system based on symbolic applications to a semantic model based on ontology. The inference engine transforms the ontology artefacts as descriptive rules to support formal reasoning. Find the subsumed/subsuming ontological artefact in the terminology T-Box and description of the world The second component of the terminological knowledge base is a description of the world A-Box. The ontological The terminological instantiation reasoning of the world description A-Box. work_hiqnrmu3offw7blky2jcvqsw5i A novel anonymization algorithm: Privacy protection and knowledge preservation Unlike most anonymization methods, where data are generalized or permuted, our method anonymizes data by randomly breaking links among attribute values in records. Thus the data anonymized by our method maintains useful knowledge for statistical study. association between a value combination of Q-I and a value of sensitive data, then privacy can be compromised. I and the values of sensitive data, it is not necessary to anonymize methods, anonymizes a data set by randomly breaking the associations between its Q-I and sensitive data, we first define a statistical measurement of anonymity in Section 4.1. attribute) in a data set D and EntropyðQ iÞ be the value of the entropy For example, in the data set in Fig. 1, the two of its quasi-sensitive associations: When a data set is anonymized by the l-diversity algorithm, we the original data set D to get the quasi-sensitive associations AssoD, work_hixbsaviinbf5aytigbyw2i3ja Supplier selection using AHP methodology extended by D numbers Supplier selection using AHP methodology extended by D numbers Supplier selection is an important issue in supply chain management (SCM), and essentially is a and feasible representation of uncertain information, called D numbers, a D-AHP method is proposed for the supplier selection problem, which extends the classical analytic hierarchy process (AHP) method. Within the proposed method, D numbers extended fuzzy preference relation has been involved to represent the decision matrix of pairwise comparisons given by experts. in the supplier selection problem, a new representation of uncertain information, called D numbers (Deng, 2012), is presented in the proposed D-AHP method for supplier selection. weights and inconsistency degree in D numbers preference relation, and the D-AHP method. of supplier selection is given to show the effectiveness of the proposed D-AHP method in Section 4. 3. D-AHP for supplier selection work_hlhwknhymfg3jhmv2t3rh5wonu Intelligent profitable customers segmentation system based on business intelligence tools the customer segmentation based on the customer profitability model is still underutilized. more practical alternative approach based on the customer satisfaction survey for the profitable customers segmentation. We present a multiagent-based system, called the survey-based profitable customers segmentation system that executes the customer satisfaction survey and conducts the mining of customer satisfaction survey, socio-demographic and accounting database through the integrated uses of business A case study on a Motor company''s profitable customer segmentation is illustrated. Keywords: Customer relationship management; Customer profitability; Customer segmentation; Customer satisfaction survey satisfaction survey for the profitable customers segmentation instead of using a customer profitability model, which is We present a survey-based profitable customers segmentation system (SPCSS) that designs, executes (on-line, our research methodology for profitable customer segmentation based on customer satisfaction survey and the basic We propose a survey-based profitable customers segmentation system (SPCSS) based on data mining and agent work_hmao7uaq3rftdo2plxoowkbtrm Applications of rule-base coverage measures to expert system evaluation Often a rule-based system is tested by checking its performance on a number of test cases with known solutions, modifying the system until We introduce an approach to testing of rule-based systems, which uses coverage case, with a correct rule-base and a complete test suite, the test data would completely cover the rule-base, all actual identification of incompleteness in the test data and potential errors in the rule-base through identification of sections Our approach carries out structural analysis of the rulebase using five rule-base coverage measures (RBCMs) population of available test cases, based on coverage information, as shown in Fig. 2; strategies for rule-base pruning complexity and determine a set of paths through the rulebase that, when executed, would adequately test the rules 3. Testing with rule-base coverage measures The first step in rule-base testing with coverage measures work_hmonw5eaebaelbnpnt6dmeypoy Figure 13 – The cross-domain post-filtering recommendation is made over the aggregated user-rating matrices and then post-filtered according to contextual (std) by varying the user overlap level for all contextual value combinations from the temporal and location dimensions (source domain: (std) by varying the user overlap level for all contextual value combinations from the temporal and location dimensions (source domain: Book, (std) by varying the user overlap level for all contextual value combinations from the temporal and location dimensions (source domain: Book, (std) by varying the user overlap level for all contextual value combinations from the temporal and location dimensions (source domain: Music, The context-aware approach uses different contextual information (e.g., location, time, mood, etc.) to improve the accuracy of recommendations (ADOMAVICIUS; Although many cross-domain RS have used contextual information in an adhoc way as part of their knowledge-based approaches (see Section 2.4.2) (BLANCOFERNÁNDEZ et al., 2011)(MOE; AUNG, 2014b)(KAMINSKAS et al., 2014), to the work_ho4p6lmanrfsljzmvdcbb52o4q for each object from the current dynamic recognition probabilities, the previous tracking In our PIORT (Probabilistic Integrated Object Recognition and Tracking) framework, histogram from the tracking results; in that case the RGB value v(x,y) in the input image current step, the measurements of both the object mass center and area in the tracking object is occluded, the mass center is not measured on the a posteriori tracking image, The recognition and tracking results for the test sequences of our PIORT approaches For comparison purposes, tracking of the target objects in the test sequences was also Recognition and tracking results for the whole sequence using the PIORT-Neural Net probabilistic framework that integrates recognition and tracking of objects in image However, in the remaining five test sequences, the tracking method based on a neural object tracking, a PIORT method obtained the best results in nine of the ten test Serratosa, "Object recognition and tracking in video sequences: a new work_hslnomdpfnfvbdezomxyw5n7gy In this special issue on "Fuzzy Expert Systems," six papers cover a wide reorganization, (2) a linear interpolation, (3) a neuro-fuzzy approach to pairwise comparison, (4) properties of reduction, in transitive matrices, (5) a consistency checking procedure, and (6) a context dependency model. In "Rule Base Reorganization and Search with a Fuzzy Cluster Analysis," Tiirksen and Jiang proposes a fuzzy cluster analysis for the purpose of The proposed algorithm can be implemented either with a compositional or an analogical tolerance relation. In "Approximate Reasoning by Linear Rule Interpolation and General Approximation," K6czy and Hirota investigate the problem of sparse fuzzy In "Neuro-Fuzzy Approach to Data Analysis of Pairwise Comparisons," In " O n Reduction of Transitive Fuzzy Matrices and Its Applications," reduction models remain valid also for s-transitive fuzzy matrices. In "Consistency Checking for Fuzzy Expert Systems," Leung and So measure for consistency checking in mixed fuzzy and non-fuzzy expert work_htfht4hrybdz3jty5t7367hreu Hence, a hierarchical Pitman-Yor process is employed as a prior for modelling the generation of phrases Bayesian model, called Hierarchical Opinion Phrase (HOP) research: opinion mining based on topic models, hierarchical He (2016) proposed a topical phrase model which extends TopMine by using the hierarchical Pitman-Yor Process (HPYP) to model the generation of HLDA (Blei et al., 2010) as illustrated in Figure 2(a) assumes that each topic is tied to a node in a tree and the documents are generated by first selecting a path in the tree, then We use an HPYP to model the generation of phrases assigned with the same topic. vote leave EU Brexit remain referendum UK stay country Britain EU Brexit UK leave leaving trade Britain remain economy immigration stay wait long place life man forever love longer friends Brexit EU leave vote UK stay Britain remain life referendum work_htmuy3yn5jaqhbh64txayj7xj4 A method validation expert system, developed as part of Esprit project ESCA, is described. Since validation involves a lot of statistical calculation and interpretation with which most analysts are not familiar, it is often neglected in the method development process. Esprit project ESCA aims to build demonstrator expert systems for method development in high-performance liquid chromatography (HPLC) analysis expert system is to validate the HPLC method that This paper focuses on the expert system for method validation. performs the appropriate statistical tests and interprets the results, and subsequently providing advice advice on the repeatability and the ruggedness testing of HPLC methods435. the ruggedness testing of HPLC methods ?9 . The ruggedness expert system described here contains the necessary knowledge and experience for The method description module guides the user in If the ruggedness test of a specified method fails, the user is The expert system for method precision testing, work_hwqiyaijfbe53iyl4yuuyi3iwa Role of Expert Systems in Identification and Overcoming of Dengue Fever can identify and overcome Dengue fever by using expert systems. These expert systems require knowledge of the relevant problem eliminated by the detection of Dengue fever through expert enhancement of knowledge base improves accuracy of expert Keywords—Expert system; rule based; Dengue; health care; Dengue fever is one of the viral diseases around the world cases) and hybrid approach with ANN like Medical Expert RQ1: Does expert systems correctly identify Dengue fever? RQ3: Does interfaces of expert systems are user friendly research has been carried out on expert systems for Dengue. ("Dengue" OR "Fever" OR "Malaria" OR "Rule based" are either due to mosquitos like Yellow fever, Malaria, Dengue This is rule-based expert system which was developed to Here, Dengue was detected using Rule Based Classifier G. Expert System using Integration of Rule base and ANN work_hxcodjpquneutiug2zkfy44nea Regression analysis is a machine learning approach that aims to accurately predict the value of continuous output variables from certain independent input variables, via automatic estimation of their latent Using six real world benchmark problems, we demonstrate that the proposed method consistently outperforms a number of state-of-the-art regression tree Each candidate tree is tested on an independent validation sample set and the one corresponding to the lowest prediction error is Given a set of samples, SUPPORT fits a multiple linar regression function and computes the deviation of each samle. Given a node, the same step of fitting samles with a linear regression model and separating samples into stimated during tree growing procedure while regression coeffiients for each child node are computed at pruning step. simultaneously the position of break-point and regression coefficients per child node, representing significant improvement compared with other tree models in literature. model trees with regression and splitting nodes. work_hxud3ocdqbgm7meeqxuk5h3hbq model to identify outliers in mixed-attribute data. Figure 1: Mixed-attribute data set with clustered objects and outliers. outlier detection algorithms can be applied to the entire data set. This process results in a reduced data set based on which other outlier scores109 are then used to estimate outlier scores for objects with mixed attribute. we associate to each data point a two-dimensional outlier score vector ~Vi con-212 Figure 3: The estimated outlier scores in the numerical space for the data objects illustration, Fig. 3 shows the estimated outlier scores in the numerical space253 Figure 4: The estimated outlier scores in the categorical space for the data end, we identify the set of data objects that are associated with the outlier score469 we found that the estimated outlier score vectors in each of the ten data sets are560 Figure 9: Estimated density curves of the numerical outlier scores that correspond to three numerical data sets. work_hzl3hfqs4ndafeacepefr5vkiy Keywords: Stochastic Reserving; General Insurance; Chain Ladder; Claims Inflation; Incurred Data; Model Validation. results of the earlier mentioned chain ladder method on incurred data by incorporating the incurred data expert opinion into the well-defined full stochastic model of 4 describes four methods to estimate the parameters in the model: DCL, BDCL, Now, the main idea to derive the DCL parameters is to estimate the chain ladder but instead of using the estimate of the inflation parameters, γ and µ, from the triangle of paid claims XI, it deploys expert knowledge in the form of the incurred incurred payments triangle when we calculate estimates of the inflation parameters, mimics the reserve estimate of chain ladder on the incurred triangles in the DCL It is defined just by rescaling the underwriting inflation parameter estimate from the DCL method. why the PEDCL method uses the EDCL parameters while estimating the IBNR reserve. work_i2b3r7sbnbgvdmmp377zahzrra contents in real time to support decision making in the whole business process. Keywords: Enterprise Content Management; Decision Support Systems; System tools, such as Enterprise Content Management (ECM) systems, have also emerged to support systems based on the hybrid method combining Fuzzy Cognitive Maps (FCM) and the In the present study, the new proposed expert system will enable the ECM performance to the active user support in the change management required for the successful ECM adoption In order to build the FCM, which helps managers to control the performance of their ECM  Scenario 1b activates indicators related to business task supported by ECM, with the  Scenario 1b activates indicators related to business task supported by ECM, with the  Scenario 2 activates indicators related to decision making using ECM. the FCM model, the node number of "Business tasks supported" by the ECM system (I1) work_i2jr2kurn5dxjmdc7jhztknzkm This issue of the Review includes two papers dealing with decision theory. based decision support systems (DSSs) have become increasingly used in fields like medicine and information may be imperfect or incomplete and even the options open to the decision maker may be Decision making is pivotal to AI generally, not just expert systems. The underlying problem, addressed in different ways by the paper on behavioural decision theory research on sound decision procedures has not been given sufficient emphasis in either AI or needed and that classical theories of how decisions under uncertainty ought to be made has a decision capabilities should be considered carefully before taking "expert knowledge" at face value. However achieving a sound hybrid of knowledge-based and decision-theoretic techniques is not all and often has been, that human decision making is irrational by comparison with formal statistical A theory of rational decision making must asknowledge these requirements. work_i2ssxta7irelzjxod2rjouswra staff that responds to alarms from an Intrusion Detection In this work, an Expert System-based SSO (ExSSO) is designed to correct categories of intrusions into its rule-based component. Keywords: intrusion, IDS, network security, SSO, expert commercial organizations are now implementing various intrusion detection systems that can Intrusion detection systems (IDSs) are security Intrusion Response Systems (IRSs) take current intrusion response systems can be divided into notification, manual response and An adaptive intrusion detection system is described in Ragsdale et al. Another significant work in the area of IRS includes a thorough consideration of some intrusion detection and response cost modeling aspect by Lee et al. introduction to modeling costs in intrusion detection and responses. Attack flag = .F. An Expert System-based Site Security Officer 231 attacks in the intrusion database. network and respond to intrusion alarm. A. CARVER, Intrusion Response Systems: A A. CARVER, Adaptive Agent-based Intrusion Response. Detection and Intrusion Response Systems. work_i3q4vd2cqfgf5basystouk4g3a Two agents previously unknown to each other cannot communicate by exchanging concepts (nodes of their own ontology): they need to use a common communication language. The ambiguities of it, and the different concepts the agents possess, give rise to imperfect understanding among them: How closely concepts in ontology OA map1 to which of KEY WORDS: Ontology matching, natural language, concept similarity, degree of understanding, imperfect knowledge. ♦ Each concept and relation has as name (or has associated) words from a natural language, since the ontology tries to represent a part of the other agent''s knowledge of such concept, to be called in §3.1 the similarity value (sv). Case a) Agent P (with ontology OP, figure 1) wants to find the most similar concept to cA = onion Examples of confusion and similarity (sim'') for two concepts of the same ontology OP, figure 1. Concept similarity measures the understanding between two agents. work_i5reu7kixjhdzcgs5bjshjzdai coordination process is to reach an agreement, to coordinate agents by engaging in argumentation dialogues with their opponents in a discussion is a common approach (Kraus case-based argumentation framework that allows agents to argue in agent societies, taking into account their roles, preferences over values and dependency relations. shows the reasoning process that agents can follow to engage in in real-time argumentation presented a computational case-based argumentation framework that agents can use to Therefore, to solve each problem, a group of technicians engage in an argumentation dialogue proposing their individual solutions and justifying the reasons that they The original process allows agents to use the knowledge resources presented before to generate, select and evaluate their positions and arguments reasoning process to manage positions and arguments (noRT agents); and agents that implement the real-time case-based argumentation framework proposed in this work, which work_i5tjkbben5e77ie5lwxz5vp5qe Purpose – This paper reviews literature on the application of intelligent systems in the libraries with a special critically reviewed the articles related to library ESs and robots from Web of Science as a general database and intelligent systems have contributed to many librarian purposes like library technical services like the purpose of the study is to review the articles on intelligent libraries and the use of Artificial Intelligence (AI), Expert Systems (ESs) and robots in the libraries. abstracts are digital, information, library, search, and user. intelligent system in library and information science, which mimic librarian expert''s thoughts", Program Electronic Library and Information Systems, Vol. 43 No. 2, pp. Information Technology and Libraries, Vol. 13 No. 4, pp. Information Technology and Libraries, Vol. 13 No. 4, pp. robot", New Technology of Library and Information Service, Vol. 27 No. 5, pp. (2012), "An intelligent library based on the IOT and the robot technology", work_i6rnbhcflbchhbsvdprmugxlxy function confusion resulting when using a symbolic value instead of another; (2) the closeness to which object o fulfills predicate P; (3) a method which allows precision-controlled INDEX TERMS: hierarchy, ontology, approximate queries, confusion, knowledge representation. 2. Confusion is also defined (§3.3) for hierarchies whose nodes are associated with predicates (called variables in the paper) in addition to hierarchies whose nodes are associated with values of a variable (item 1). An element set whose values are ordered by a < ("less than") relation. A hierarchy groups E into smaller sets of alike symbolic values. 3.3 Confusion between variables (not values) that form a hierarchy distance on hierarchies of symbolic values (to measure closeness between hierarchical • Confusions and similarity functions for values in different ontologies can be defined as The notions of hierarchy and hierarchical variable make possible to measure the confusion when a value is used instead of another. work_i72n3bqvb5d5pesvagfykdppxq sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220972132 (wp-p1m-39.ebi.ac.uk) Time: 2021/04/06 03:05:12 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_ia4kyatfrndlniinjocs6tmqnm [PDF] Real-time fault diagnosis using knowledge-based expert system | Semantic Scholar Corpus ID: 17900554Real-time fault diagnosis using knowledge-based expert system title={Real-time fault diagnosis using knowledge-based expert system}, Abstract Abnormal operating conditions (faults) cost process industry billons of dollars per year and can be prevented if they are predicted and controlled in advance. Sort by Most Influenced Papers A hybrid fault diagnosis method for mechanic-electronic-hydraulic control system based on simulated knowledge from virtual prototyping Process fault diagnosis with modeland knowledge-based approaches: Advances and opportunities View 18 excerpts, cites methods View 18 excerpts, cites methods View 18 excerpts, cites methods View 2 excerpts, cites background Fuzzy rule-based expert system for power system fault diagnosis View 2 excerpts, references background and methods View 2 excerpts, references methods By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License work_ic4cnnv7svfkboukympxr6ybyu The volatility data is decomposed by the lowpass filter into long and short term components, which are then modelled by the autoregressive neural network and then model the long-term component using an autoregressive neural network and the short-term (ARNN), a special format of artificial neural network, to model and forecasting the long-term component 𝐿𝑡 forecasting the long-term component of volatility, ARNN operates as a non-linear regression function at the long-term component 𝐿𝑡 of the realized volatility, an autoregressive neural network (ARNN) with three We can obtain the forecasted the long-term component �̂�𝑡+𝑛 of the realized volatility through ARNN model. We use the neural network enhanced two-component model defined in Section 2 to forecasting the volatility autoregressive neural network enhanced two-component model constructed by one hidden layer with 10 neurons (NNE2C 10 autoregressive neural network enhanced two-component model constructed by one hidden layer with 10 neurons (NNE2C 10 work_iccog4m2mjaotb6qyok52fxkki A Prototype Expert System for Site Selection of a Sanitary Landfill bio-geochemical considerations into the selection process of a potential landfill site. paper, a prototype expert system for the selection of a landfill site, with hybrid knowledge hazardous scores and a fuzzy rule base for the representation of heuristic knowledge. in the selection process of a potential landfill site during preliminary investigation. Keywords: Artificial neural network; Blackboard architecture; Expert system; Fuzzy inference; Hazardous waste; Sanitary landfill; Site selection (ANN) for training of partial hazardous scores and a fuzzy rule base for the representation of employed by the Process Control knowledge modules to determine the next possible action, production rule format in the knowledge base are employed to rank the potential landfill and production rules from the knowledge base to derive a conclusion or decision context. useful in the selection process of a potential landfill site, since a simple score can represent a work_icczmocbzrcslf6mnqixythg2i Assessing Organizational Readiness for Implementing ERP System Using Fuzzy Expert System Approach | Semantic Scholar Corpus ID: 4316499Assessing Organizational Readiness for Implementing ERP System Using Fuzzy Expert System Approach title={Assessing Organizational Readiness for Implementing ERP System Using Fuzzy Expert System Approach}, author={Amir Beirami Hajilari and M. Sort by Most Influenced Papers Identification of critical failure factors in the implementation of enterprise resource planning (ERP) system in Taiwan''s industries Business, Computer Science Achievement assessment for enterprise resource planning (ERP) system implementations based on critical success factors (CSFs) Identifying critical issues in enterprise resource planning (ERP) implementation Engineering, Computer Science Engineering, Computer Science View 1 excerpt, references background View 1 excerpt, references background View 1 excerpt, references background Enterprise resource planning: A taxonomy of critical factors By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License work_icie57r4e5gehclfikwxbl2x5q In this paper, a knowledge-based expert system on numerical modelling system for It is shown that the application and integration of the knowledgebased expert system technology into numerical modelling for coastal processes can provide substantial assistance to novice users for selection of numerical model as well as parameters. Coastal water process, expert system, knowledge base, numerical modelling, object-oriented Hence, based on these steps, a full decision tree of model selection procedure can selection of numerical model for coastal water processes. to select a numerical model in solving a physical problem for coastal water processes usually The selection of the most feasible numerical model becomes a matching process to relate the dimensional horizontal numerical model is selected with a confidence factor 70. dimensional horizontal numerical model is selected with a confidence factor 70. the user completes the selection process of all modelling parameters in a particular case, the work_id5zxekuovexhaprgj7hcbt6tm International Journal of Scientific Research in Computer Science, Engineering and Information Technology International Journal of Scientific Research in Computer Science, Engineering and Information Technology Developing an Expert System Application to Detect Childs'' Lung studies have evaluated models from expert systems to diagnose lung disease in children using Naïve Bayes (NB) and Support Vector Machine (SVM). expert system is a program based on a set of rules that 2.2 Support Vector Machine (SVM) to Detect Childs'' classification in data mining and machine learning, SVM in evaluating lung symptoms in children [5, 6]. The expert system, for diagnosing lung disease, 3.2.2 Support Vector Machine (SVM) 3.2.2 Support Vector Machine (SVM) DATA CLASSIFICATION RESULTS FROM SVM the 7th iteration SVM displays the results of 79.26% classification results of 74.7% and SVM displays the based on the results of data classification that has the kids'' lung based on Naïve Bayes (NB) and Support work_iefbp6no4fbardridq77a4czba MYCIN gave rise to EMYCIN and a shell technology that has radically reduced the development time and cost of expert systems. Expert systems are one type of knowledge-based system and as such unequivocally comprise a subfield of artificial intelligence (AI), which itself is a division of computer science. The knowledge, semantics, and intelligence of conventional programs are embedded in algorithms and distributed throughout combinations of procedures. knowledge-based systems, on the other hand, is primarily in the declarative expression of rules, semantic nets, Thus, anything that can be coded in the formalisms of expert systems can also be coded in conventional high-level computer languages, given enough When an advisory session between expert system and user is initiated, the inference engine determines what facts it needs to solve a problem, and either that represent the forwardand backward-chaining strategies for an identical rule base called DEMENTIA.RB are work_ifb2hwodtjhtbo6tms3tkioipy res ult is b ased o n th e snowcO\''e r sta bility , Th e new model s w er e d eve loped a nd have o utpu t is c omp a red to th e a p os teri ori I''e rifi ed h aza rd, Th e fir st model is p urel y d atabased, Comp a red to o th e r sta ti sti cal m o del s, th e diffe r e n ces a rc: m o r e input kn ow led ge b ase th a t includ es th e I''e rifi ed d eg ree o f ava la nche h aza rd, Th e summ a ri zed , th e sys tem we ig h s a nd cl ass ifi es th e ca tegorized d a ta, sea rc hes fo r simil a r situ a ti ons stro ng ly using th e work_ifymfqj7jjbv5ldnhyofmazcy4 In this paper we investigate the role of idioms in automated approaches to sentiment analysis. as features we collected a set of 580 idioms that are relevant to sentiment analysis, i.e. the ones that can the results of sentiment analysis, we assembled a corpus of sentences in which idioms are used in context. individual idioms to sentiments in order to support them as features for sentiment analysis, (3) assemble a corpus of sentences in which these idioms are used, (4) annotate sentences in the corpus with sentiments in order to create a gold standard for sentiment analysis, (5) implement a sentiment analysis approach that Once idioms are recognized in text, we require additional information about their sentiment polarity in order to utilize them as which we combined idioms with the results of two popular sentiment analysis methods: (1) SentiStrength (Thelwall, 2014; improvement of sentiment classification on sentences with idioms work_ig7kgk7r6zf7nelmmag2y5dddu Mining changes in customer behavior in retail marketing Mining changes in customer behavior in retail marketing managers can develop long-term and pleasant relationships with customers if they can detect and predict changes in customer behavior. dynamic retail market, understanding changes in customer behavior can help managers to establish effective promotion campaigns. study integrates customer behavioral variables, demographic variables, and transaction database to establish a method of mining changes in For mining change patterns, two extended measures of similarity and unexpectedness are designed to analyze the degree The proposed approach for mining changes in customer behavior can assist Keywords: Data mining; Association rules; Retailing; Customer behavior; Change patterns Retail market managers must not only provide highquality products and services, but also must react appropriately to changes in customer needs. proposed approach for mining changes in customer behavior change mining for customer behavior. change mining for customer behavior. Flowchart of mining changes for customer behavior. work_igv6r4iavzgn3mtitipb2naxam The goal of the proposed technique is to select the most significant facial features effectively and find the best combination of The proposed technique aims to locate the significant areas in facial regions from which the significant features are extracted. experiments, the PCA projection method is applied to local facial regions instead of the whole face images to extract features. After all generations, the total number of times that each feature has been selected for the best classification rate is calculated. The best classification results for each facial region feature set When the size of the small rectangular area was 6 � 4, the hidden units 40 and 56 feature selections achieved the best recognition rate on Database 1. improving recognition rate compared to just one facial region feature set. Selection and fusion of facial features for face recognition Selection and fusion of facial features for face recognition Selection and fusion of facial features for face recognition work_iiconkps45cr5gmnah3zudj2e4 Using three different databases, from three real-world applications: credit card fraud detection, credit scoring and direct marketing, we In this paper we formalize a new measure in order to define when a problem is cost-insensitive, class-dependent cost-sensitive or example-dependent In this paper we formalize a new measure in order to define when a problem is cost-insensitive, class-dependent cost-sensitive or example-dependent We evaluate the proposed example-dependent cost-sensitive decision tree 4. Example-Dependent Cost-Sensitive Decision Trees 4. Example-Dependent Cost-Sensitive Decision Trees For example in credit card fraud detection, it is true that false positives have a different cost than false negatives, nevertheless, false negatives In this section we present the datasets used to evaluate the exampledependent cost-sensitive decision tree algorithm CSDT proposed in the Section 4. Table 6: Results on the three datasets of the cost-sensitive and standard decision tree, we proposed an example-dependent cost-sensitive decision tree algorithm, by work_ijodnynjfzg6pajray343ungoq The main purpose of this paper is to propose a fuzzy approach for investment project valuation in uncertain Therefore, this paper proposes a fuzzy binomial approach that can be used in project valuation under uncertainty. paper provides a method to compute the mean value of a project''s fuzzy expanded NPV that represents approach to evaluate a project embedded with real options, to propose a method suitable for computing the mean value of fuzzy Based on real options theory, Chen, Zhang, and Lai (2009) presented an approach to evaluate IT investments subject to multiple Hahn and Dyer (2008) proposed a recombining binomial lattice approach for modeling real options and valuing managerial flexibility of right-skewed distribution also appears in the FENPV of an investment project when the parameters (such as cash flows) are characterized with fuzzy numbers. A fuzzy real option approach for investment project valuation A fuzzy real option approach for investment project valuation A fuzzy real option approach for investment project valuation work_ijpwrqnasvcvxnxbbxgl2gza6m Li, Z, Crook, J & Andreeva, G 2017, ''Dynamic prediction of financial distress using Malmquist DEA'', Expert https://www.research.ed.ac.uk/portal/en/publications/dynamic-prediction-of-financial-distress-using-malmquist-dea(c2c245a9-3a0a-4208-977f-5e5a721e4945).html to time-varying Malmquist DEA, since dynamic predictive models allow one to incorporate changes addition to accurate financial distress predictions based on the DEA efficiency measures. Keywords: Malmquist DEA; Bankruptcy prediction; Financial distress; Efficiency; Dynamic model This paper is the first to apply dynamic time-varying efficiency scores in distress prediction. Malmquist DEA is used to produce dynamic efficiency scores over several periods. and ''bad'' companies, while Min & Lee (2008) suggested using efficiency scores generated by DEA to efficiency models to predict the risk of bankruptcy or financial distress. knowledge, no study has conducted an analysis of efficiency scores in dynamic prediction models. this paper applies Malmquist DEA scores to dynamic prediction of financial distress by taking the time efficiency score of company i in sector s at period t is calculated with reference to the most work_ilj67xanejabtnq4n5brgqinhu energy in a power station having a number of units that have to be committed for a given load. presents a hybrid expert system dynamic programming approach to the unit commitment problem. the constraints, such as spinning reserve requirements, unit minimum up and down time, must Detections for constraint violations can be made by including rules in the knowledge. Rule 4: I f the load is much less t h a n expected, then the " m u s t r u n " unit (if suggested by the user) Rule 7: All the c o m m i t t e d units must operate at least at their m i n i m u m o u t p u t conditions. T h e parameters adjusted here include m i n i m u m up an d d o w n time, unit initial conditions a n d is d o n e by including rules in the knowledge base. work_im4f27vpcra25d6a3vezniatde sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 221023627 (wp-p1m-38.ebi.ac.uk) Time: 2021/04/06 03:06:14 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_imdlzyqdajawjkevtvg6k3pdui expert system using any method o f approximate reasoning to evaluate the rules when neural net and how to write down the rules in the fuzzy expert system. neural net) for discrete fuzzy expert systems. In [2] we discussed approximating fuzzy expert systems by neural nets, but the discussion was based neural net to approximate one or two explicit fuzzy rules. continuous, discrete, fuzzy expert system to approximate a given neural net We are not suggesting replacing neural nets by fuzzy expert systems. given the neural net, we can build a discrete fuzzy expert system, in Neural net approximating fuzzy expert system. Fuzzy Expert Systems and Neural Networks 73 Fuzzy Expert Systems and Neural Networks 73 Fuzzy Expert Systems and Neural Networks 73 Fuzzy Expert Systems and Neural Networks 73 Fuzzy Expert Systems and Neural Networks 73 work_iokziw56jfbmrkdzls4i3arm2e An Expert System for Supporting Traditional Chinese Medicine Diagnosis and Treatment Portugal has recently become one the few European countries to fully acknowledge Traditional Chinese Medicine (TCM); this System for supporting the TCM consultation process – both in terms of gathering and managing the patients'' personal and was designed and is being developed with the support of two TCM therapists, which act as experts and provide aid to the This paper focuses on presenting the TCM-SIS (Traditional Chinese Medicine – Support Information System) This work focuses on developing an Expert System for assisting TCM therapists with the process of efficiently The knowledge base containing symptoms and diagnosis information, as defined by the experts and required by The Expert System works with basis on three sources of information stored in the online spreadsheet, which are experts and provide aid to the processes of building the symptoms knowledge base and the automatic diagnosis work_ip7jqc6emjbhvjli7jg34x32am Goa SSC Revaluation Result 2021Check GBSHSE 10th Exam Rechecking Result by Name, Roll Number at gbshse.org, Goa 10th Board (SSC) Revaluation Result Available soon Goa Board of Secondary and Higher Secondary Education has made all the preparations to declare the Goa SSC Revaluation Result 2021. TS SSC Revaluation Result 2021 Released Check by Name, Roll Number, BSE Telangana Class 10th Reverification & Recounting Marks/Result, Telangana Secondary School Certificate (SSC) Examination Revaluation Result at www.bse.telangana.gov.in Board of Secondary Education, Telangana will release the Revaluation Result of the Class 10th (SSC) Exam. After the announcement of the TS SSC Board Exam Result … Read more The university releases the notification for the OU Degree revaluation after releasing and publishing the result of the exam. OU Revaluation Result 2021: Manabadi Check Osmania University Degree Supply UG/PG Semester Result Here OU Revaluation Result 2021: Manabadi Check Osmania University Degree Supply UG/PG Semester Result Here work_iqaoqole7nf33bhdqwmgmfeauq Fuzzy Dissimilarity Learning in Case-Based Reasoning Abstract: Case-based reasoning (CBR) attempts to solve new problems by using previous experiences. This paper proposes a novel CBR approach that exploits dissimilarity information in A fuzzy dissimilarity model consisting of fuzzy rules has been developed for assessing Key-Words: case-based reasoning; similarity; dissimilarity; case library; fuzzy rles; fuzzy reasoning Case-based reasoning (CBR) presents an important case from the library is dissimilar to the problem in dissimilarity between case Ci and query problem Q 5 Learning Fuzzy Dissimilarity Rules 5 Learning Fuzzy Dissimilarity Rules dissimilarity rules from a small number of cases, we data set as the case base used for learning and the The fuzzy rules learnt from the case base employing the learned fuzzy dissimilarity models. rules for assessing dissimilarity between cases. and similarity modeling in case-based reasoning R. Yager, Case-based reasoning, fuzzy systems similarity in case-based reasoning and fuzzy theory, work_iqxvluj6o5ca7jod3562ei7oza proposed which includes a node concept correspondence degree computation algorithm and a explore effective similarity measures for hierarchical cases in order to apply CBR systems. This tree case has seven nodes called "wild birds", "farm poultry",…, "water bird" To evaluate the similarity between these tree-structured hierarchical cases, all the The research in this paper is related to work on tree similarity measure and structured case In (Ricci & Senter, 1998), the similarity measure on tree structured cases, information on nodes'' structures, concepts, weights and values to compare tree structured two HC-trees based on nodes'' structures and concepts, and the conceptual similarity between two To identify two corresponding nodes in different HC-trees, both their structures and concepts roots of two HC-trees is computed by aggregating the value similarity of all corresponding node structures, concepts, weights and values and it can be used to retrieve the most similar cases work_isdelkci4ravthy6kted5tfk7a this work is the development of a computationally low-cost algorithm for feature extraction and the implementation of a machinelearning scheme for people fall detection, by using a triaxial MEMS wearable wireless accelerometer. approaches in which several parameters need to be manually estimated according to the specific features of the end user. to limit the workload, the specific study on posture analysis has been avoided, and a polynomial kernel function is used while The waveform in Figure 4 represents a typical acceleration signal of a forward fall on three axes and all phases are the fall events are detected by a one-class support vector Figure 11: Features extracted of falls and ADLs simulated wearing the device on the waist. Figure 12: Features extracted of falls and ADLs simulated wearing the device on the chest. threshold-based tri-axial accelerometer fall detection algorithm," Gait & Posture, vol. work_itak635pcncttnjessmuqdf3fi A web-based expert system of swine disease diagnosis was developed for swine farmers and animal husbandmen. Keywords: expert system; swine disease diagnosis; knowledge representation second step was disease diagnosis using the symptoms that user noticed and found by considering from all ten body gender and age range, from the veterinarian''s knowledge and experience found that each disease occurs in swine''s representation for inference using swine''s gender and age range which defined by the veterinarian for disease Second step, the disease diagnosis using the symptoms, from the veterinarian''s knowledge and experience If user input swine''s gender and age range match with the rule, the rule was used for disease screening and the result We used the model of knowledge representation and inference in the process of swine disease diagnosis. symptom, an occurred symptom certainty factor and major lesion group for the disease diagnosis. symptom, an occurred symptom certainty factor and major lesion group for the disease diagnosis. work_ivgteuwjv5ft3efm7yur3kaso4 Lejla BEGIC FAZLIC a,1, Korana AVDAGIC b, and Samir OMANOVIC a Genetic Algorithm (GA) for the second level of fuzzy model optimization within Modelling and validation of the novel GA-ANFIS system approach is performed on ANFIS model, for the detection and recognition of different types of dermatologic research study [1] proposed ANFIS model by combining neural network adaptive Authors in research study [9] suggested hybrid GA-ANFIS model in which GA A novel GA-ANFIS expert system prototype for prediction of dermatological diseases Modeling and validation of the novel GA-ANFIS system approach is Our Sugeno model has three inputs (skin features) and one output (type of diseases), as kinds of ANFIS parameter structure and then optimize fuzzy sets in knowledge rule base resulting in the best prediction of dermatological diseases. than the previous classical approach that is based on single ANFIS model [7]. [2] J.-S.R. Jang, ANFIS: Adaptive-network-based fuzzy inference system, IEEE Trans. work_iwt6segftjgepab2rmdx5ufxwi Microsoft Word IM_Corrigendum_RetrievingSinusoids_ESWA_bib.docx using the sum squared error (SSE) but in our simulations it was actually approximated by using the square root of the SSE and all the results presented in the paper are obtained in that way. Using the square root of the SSE in the log-likelihood term in the Eq. • The first error is located at page 246, in the right side of Eq. should be replaced by its square root, and the Eq. • The third error is located at page 248, in the Section 2.2, in the first item of the numbered list • The fourth error is located at page 248, in the Section 2.2, in the second item of the numbered list and refers to the text "(see Section 2.4)", which should be replaced by: "(see Section 2.5)". refers to the text "E0=EDC(0) (34)" which should be replaced by the equation: work_ixa54wxsxzhdtm2sicqueh5nam Insight SFI Research Centre for Data Analytics Insight Close Menu AboutShow sub menu PeopleShow sub menu Funded Investigators Funded Investigators Research and Operations Research and Operations ResearchShow sub menu European Funded Projects European Funded Projects BusinessShow sub menu Public EngagementShow sub menu NewsShow sub menu Newsletter Newsletter Spotlight on Research Insight Careers Insight is hiring! 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The proposed expert system was evaluated in two different phases, real-world samples, and medical records evaluation. Evaluations suggest that the proposed expert system provides promising performance, helping specialists to validate the accuracy and integrity of Keywords: Spine, Expert system, Uncertainty factor, Spinal disorder, Knowledge engineering, Knowledge representation. simulate the knowledge of experts and helps patients detect and expert systems based on rules use human expertise to solve Rule-based expert systems have played a implementation of backward chaining in a rule-based expert Expert systems use the Certainty Factor (CF) to implement A sample of certainty effect factor for classified symptoms of the flat back anomaly. Inference in Rule-Based expert systems Inference in Rule-Based expert systems work_izxzr6jh5vbxtl5aqnkwkam7we Citation: Irani Z and Kamal MM (2014) Intelligent Systems Research in the Construction Industry. of intelligent systems solutions (e.g. artificial neural networks) in the field of construction assessing the applicability of different types of intelligent systems in the construction industry. Given the limited research in the area of intelligent systems in the construction industry (as intelligent systems papers primarily focusing on the construction industry. intelligent systems employed/discussed in different contexts of the construction industry e.g. use of USA, Taiwan, UK, Canada, China, Korea and Hong Kong) lead on intelligent systems research in the of research papers clearly indicates the significance of the intelligent systems area in the construction employed intelligent systems types among the 514 papers used in this research. academics to publish more papers on different types of intelligent systems in the construction industry employed/discussed intelligent systems in the construction industry amounting to 14 papers work_j3yvpi6xnzaq3ckkwhl4yj4mb4 The methods use expert estimations of objects quality Keywords: expert estimations, integral quality, object ranking, preference 5. The expert estimations of the objects quality and the criteria weights must Decision making and preference learning propose several methods to estimate the integral quality of objects [3, 4]. The supervised methods use expert estimations of the objects quality or the expert estimations of the criteria weights and objects quality are measured in the The first case considers linear scaled both expert estimations and measured The second case considers expert estimations of objects and criteria weights Ordinal-scaled expert estimations define a convex polyhedral cone. In this case the expert estimations of criteria weights and objects supposed to be concordant. In the same way, the cone of vectors w corresponding to the expert estimations of the criteria weights is described by the system of linear inequalities with work_j4jqi43icreh5hh4xm22pbqwky creating intelligent design agents; (1) finding quantitative ways of measuring client''s needs and preferences, and (2) providing a design option, we record their interactions using eye-tracking and an automated facial expression tool. Keywords: Eye-tracking; Facial expressions; End-user sstisfaction, Building design the design process, the use of eye tracking technology as well as facial expression has been suggested. emotional aspects of user experience such as joy, surprise, sadness, positive feelings interacting with design, etc. The use of eye tracking technologies along with facial expression analysis provides the means to quantify the difference in spent time between preferred and undesirable design options was not statistically significant (p>0.05), but participants spent more time on designs with higher evaluation scores. quantitative method was used to measure building end-user satisfaction at the early stages of design process. significant (p>0.05), but it was found that participants spent more time on designs with higher evaluation scores. work_j5q5tirszvanva633mw725nnu4 Credit scoring models have been widely studied in the areas of statistics, machine learning, and artificial intelligence (AI). approaches such as artificial neural networks (ANNs), rough sets, or decision trees have been proposed to increase the accuracy of credit model should be proposed to significantly improving the accuracy of the credit scoring mode. Two numerical examples will be employed here to compare the error rate to other credit scoring models including the ANN, decision trees, rough sets, and logistic regression. Keywords: Credit scoring; Artificial neural network (ANN); Decision trees; Genetic programming (GP); Rough sets The advantage of the induction based approaches (e.g. rough sets and decision trees) is that it can provide the Cho, & Kim, 2000; Beynon & Peel, 2001; Dimitras, set includes Australian credit scoring data with 307 The comparison of the credit scoring models in Australian data set The comparison of the credit scoring models in German data set work_j6fancn7djfnfciiozvjebwri4 This paper describes the basic actions proposed for quality inspection. System (DSES) to help with those decisions related to the preliminary activities for inspection development —most of them relating to complete; (3) acceptance or rectifying and, in the most relevant module, (4) inspection by attributes or by variables. process of basic quality control actions is nowadays considered to take place within a well-defined structure, known as Quality inspection has got a number of effective techniques with a wide range of applicability. making the correct decision about quality evaluation of quality control deal with this subject by focusing on procedures of sampling for acceptance, whereas rectifying An incorrect development of this type of inspection can give the suppliers the impression that quality is not use of quality inspection. It should be noted that since inspection is the most important part of Quality Evaluation, the expert system proposed of an expert system for Statistic Quality Control, which work_j6fm452usjdmdhgardrg2mgn2i This study provides a model of customer satisfaction from a comprehensive perspective and tries to use the nonlinear fuzzy neutral Keywords: Customer satisfaction; Service encounter; Service value; Relationship involvement; Service quality Much research on the cause of service quality and customer satisfaction has been published in recent years. research focuses on the following dimensions: (1) discussing the antecedent variable that affects customer satisfaction. service failure compensation to improve customers satisfaction; (3) bringing up research dimensions and approaches for measuring customer satisfaction and service quality. consumers of four service industries and conducting comprehensive exploratory research, they raised the five-gap between service quality and customer satisfaction; (3) As some previous literature shows, the topics such as ''''service quality'''', ''''service value'''', and ''''customer satisfaction'''' service quality, service value, and customer satisfaction as of the satisfaction models used in previous research emphasized the perceptive (Kotler, 2000) and emotional perspectives (Price, Arnould, & Tierney, 1995) of consumers. work_ja5wcuvf65hxrpyv62j6qsu2gy DenGraph-HO: A Density-based Hierarchical Graph Clustering DenGraph-HO is an extension of the density-based graph clustering algorithm DenGraph. It is able to detect dense groups of nodes in a given graph and produces a hierarchy Our approach differs from traditional hierarchical clustering methods in that DenGraph-HO as the used data structures, their memory requirements and the algorithm''s run time complexity. Since density-based clustering approaches provide significant advantages they have also been Since DenGraph is a non-partitioning clustering algorithm there can be noise nodes VN = node v is marked as core and a new cluster is than one community, the original DenGraph algorithm does not allow for clusters to overlap. DenGraph-O, allows border nodes that are members of multiple clusters. In case a former noise node becomes core, a new cluster is In this article we proposed the hierarchical density-based graph clustering algorithm structural clustering algorithm for networks., in work_jamfcdcnvjbabcmoye5b2ppkly ESP: An expert system for poisoning diagnosis and management | Semantic Scholar Corpus ID: 5972869ESP: An expert system for poisoning diagnosis and management title={ESP: An expert system for poisoning diagnosis and management}, We describe a clinical decision support system (CDSS) designed to provide timely information germane to poisoning. [...] Key Method The system is implemented as a rule-based expert system with two major components: the knowledge base and the inference engine. The knowledge base serves as the database which contains relevant poisoning information and rules that are used by the inference engine in making decisions.Expand Sort by Most Influenced Papers The Design of a Cloud-based Clinical Decision Support System Prototype: Management of Drugs Intoxications in Childhood Clinical Decision Support Systems: Effective Solution for Diagnosis, Treatment, and Management of Patients Affected by Poisoning By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License work_jbj4htluffecrc677zqmr5efya hierarchy among the evaluated countries, independent of the chosen set of weights. OECD''s "Better life index": can any country be well ranked? OECD''s "Better life index": can any country be well ranked? definition of the criteria used to rank the countries, as well as in their aggregation method. definition of the criteria used to rank the countries, as well as in their aggregation method. A global country score is obtained by a weighted mean of As emphasized by OECD, the innovative aspect of the BLI is the possibility offered to anyone to choose her/his own weights (as integer values between 0 country ranking established by the BLI, merely independent on the chosen set of respectively, the worst and best country scores for the considered indicator. As can be seen from this example, due to the use of relative scores, pairwise comparisons between two countries depend not only of their respective performances set of weights optimizing the ranking of a given country? work_jca34ttijfecfg2vq5xtbkygb4 of KST refers to the engineering activity that guarantees the correctness of the definitions in an ontology, This evaluation includes: ontologies, software and documentation. the ontologies, their associated software environments and documentation technically with Ontologies verification is orthogonal to the use of the definitions by any the consistency of an ontology and its definitions, we • An informal definition IDef is a free text documentation definition Défis defined in the ontology Ont. An ontology Ont is semantically consistent S-Consistency{Ont) if, and only if, each definition Def in the A given definition Def in the ontology Ont is semantically consistent S-Consistency0„,(Def) if, and only if: (1) contradiction in the interpretation of the formal definition with respect to the real world. definition Def, (1) each inferred formal sentence FSm is informal definition written in natural language is complete if it expresses the same knowledge that the formal the class DOCUMENT (see definition 1) only work_jcxx2b72dzgzdlmln4dydjqxly Two different implementations are proposed in this paper: a deterministic one based on Petri nets and a probabilistic one based on hidden Markov models. Keywords : Context recognition, Petri nets, hidden Markov models, automatic cameraman, Keywords : Context recognition, Petri nets, hidden Markov models, automatic cameraman, Situations and the underlying concepts (activity, roles or relations) are the context meta-model. used to implement a situation network representing a context model and how to evaluate a script. Note that Petri nets are very well adapted for implementing situation models containing parallelism. The situations of a context model can be implemented by the states of a HMM. 2. Given a sequence of observations (based on events) and a situation model implemented by a 2. Given a sequence of observations (based on events) and a situation model implemented by a Figure 11: States of the HMM implementation of the situation model for a meeting of 4 participants work_jd2wgu7rtje5fdfbbvwb4plsem Since palmprint and palmvein can be captured simultaneously by using specially designed devices, the joint use of palmprint and palmvein features can effectively increase the accuracy, robustness and anti-spoof capability of palm based biometric techniques. This paper presents an online personal verification system by fusing palmprint and palmvein information. palmvein images was established to verify the proposed system, and the experimental results demonstrated that since palmprint and palmvein contain complementary information, much higher accuracy refer to the inner vessel structures beneath the skin and the palmvein images can be collected using both far infrared (FIR) and nearinfrared (NIR) light (Zharov et al., 2004). various image level fusion schemes of palmprint and palmvein With the captured palmprint and palmvein images, the personal verification framework has four main images pass the liveness detection, palmprint features will be extracted by texture coding and palmvein features will be extracted Sample images of (a) palmprint and (b) palmvein from the same palm. work_jfopvflxkna3jp2tovexw7imbi secondary users to maintain the accurate channel state spectrum sensing scheme in which the secondary users adopt Ⅱ. PROPOSED CHANNEL SENSING SCHEME information sensed by each secondary user is consistent un-used licensed channels from other secondary users, and 4) RP: notify the other secondary users the sensing results. The secondary users can utilize the OFF time slot D. Backoff-based Channel Sensing Policy The basic idea of our backoff-based channel sensing discuss details of our backoff-based channel sensing policy. results of the i-th channel from other secondary user: 0: The secondary user reserves enough channel resources N denote the number of channels sensed to be idle, j-th secondary user select i-th channel to sense, the SDR secondary users, however, update their channel information secondary users against the number of channels (x), of the network achieved by the backoff-based sensing policy the primary network; therefore, backoff-based channel work_jgbhrqh7u5ardlyufhz757f2wy application areas of expert systems (ESs) as a decision support system that has been increasingly used in the Empirically, the paper explains the role of ESs in fostering decision-making processes at the In addition, the results proved that ESs contribute to administrative decisions at MIIC. decision-making within management can be most efficiently satisfied with the use of ESs, How do ESs influence the decision-making processes in public organizations? outputs, feedback, organizational factors, administrative decisions and ESs, as shown in significance level a = 0.05 between ESs and the quality of administrative decisions at MIIC; at significance level a = 0.05 between ESs and the quality of administrative decisions at organizational factors at MIIC; the effect of ESs on managerial decision-making ESs and administrative decisions at MIIC, the researcher here recommends to place 3.3 Expert systems and managerial decision-making in public organizations 3.3 Expert systems and managerial decision-making in public organizations work_jgpukl2a5fg3xn2gvz37oonyoi Coordinating communications between production-chain organizations are usually based on the notification of completion of tasks by one party which constitute pre-conditions for activity in another organization; autonomous task changes disrupt coordination. workflow re-coordination model and corresponding expert support system based on workflow goals which are more stable than the Keywords: Workflow management system; Coordination; Goal-based process modeling Recent work by the process modeling and workflow The problem of coordination disruption through autonomous activity changes in work processes is illustrated in Section 3 develops the goal-based workflow coordination model and Section 4 presents the The HFBP model (Morita et al., 1996) of business workflows is specifically intended to describe work processes Enhancing conventional activity-based process models Our workflow coordination model captures goal information about processes in a formal structure and uses the (goals) for the activities of a work process. Search for flexibility in workflow and process modeling work_jgz56hlogncihjdwscuvfwh4vq Using numerical short-term weather prediction, research into the forecasting of air pollution concentrations weather forecasts as W F , the set of meteorological situations as M S, the set of pollution concentrations Θ — a set of real numbers representing distances between every normalised weather forecast and assign meteorological situation relative to a fuzzy weather forecast [13]. Fuzzy weather forecast for wind speed attribute on a) 9 January 2006 b) 10 January 2006. Fuzzy weather forecast for temperature attribute on a) 9 January 2006 b) 10 January 2006. Fuzzy weather forecast for humidity attribute on a) 9 January 2006 b) 10 January 2006. In Fig. 7 fuzzy weather forecast is shown for all attributes. (1) value of the attributes describing the weather forecast to the values of the meteorological situations Analogous is with the differences between meteorological situations and fuzzy weather forecast. meteorological situations and fuzzy weather forecast. work_jheoydk3s5butm6zfif4wf6wnm lower (or upper) previsions, belief functions (used in the Dempster-Shafer theory) and possibility measures (fuzzy logic). probabilities, coherent lower previsions, belief functions and possibility measures. probabilities or models defined in terms of upper and lower density functions or mass is of interest because the other theories examined in this paper (Bayesian, belief functions and possibility theory) attempt to define conditional probabilities and expectations In Shafer''s canonical example, the belief function is generated from an underlying precise probability measure through a multivalued mapping (defined below). Natural extension produces a lower probability model that is not a belief function (it is (See [ 1!>,23,48] for interesting comparisons of the two rules.) Natural extension produces conditional upper and lower probabilities that are coherent with the unconditional The conditional upper and lower probabilities generated by natural extension can be easily computed as follows: work_jjzc4fo46fhb3jzjht3pgs26ni Redalyc.A Novel Web-based Human Advisor Fuzzy Expert System A Novel Web-based Human Advisor Fuzzy Expert System A Novel Web-based Human Advisor Fuzzy Expert System The applications of the Internet-based technologies and the concepts of fuzzy expert systems (FES) have created area of web-based fuzzy expert systems. In this research, a Web-based fuzzy expert system for Common Human Advisor (FES-CHA) is developed and implemented to be used as a student advisor at the department''s web portal. Keywords: fuzzy expert systems, web-application, common human advisor, total average. A Novel Web‐based Human Advisor Fuzzy Expert System, Vahid Rafe / 161‐168 A Novel Web‐based Human Advisor Fuzzy Expert System, Vahid Rafe / 161‐168 A Novel Web‐based Human Advisor Fuzzy Expert System, Vahid Rafe / 161‐168 A Novel Web‐based Human Advisor Fuzzy Expert System, Vahid Rafe / 161‐168 A Novel Web‐based Human Advisor Fuzzy Expert System, Vahid Rafe / 161‐168 work_jjzvyc6pn5h57haekram3wec2i There is no room for error in making managerial decisions in today''s global business environment marked by mergers, acquisitions, and In order to succeed in this ever so demanding, fast pace business environment, managers need integrated and intelligent information systems capable of supporting them throughout the decision-making lifecycle, which starts with structuring a problem collaborative research effort whose aim has been to fill this need by developing novel concepts and to demonstrate the viability of these Keywords: Intelligent decision support; Structured problem; Automated tool selection; Manufacturing systems modeling; Base model; Expert systems environment, managers need integrated ''intelligent'' decision support systems (DSS) that are capable of using in model-based decision support systems by addressing the Third, lack of usability/accessibility of decision models by we have developed several novel concepts (e.g. base model for an intelligent decision support system for manufacturing Manufacturing systems decision making life-cycle. work_jl47oly4sjbc5igyllnr5wmgli Recommender systems aim to recommend users with some of their potentially interesting items by exploiting various information, especially the absolute ratings. different public data sets against the state-of-the-art relative preference-based models Recommender Systems (RecSys) aim to suggest items (books, movies, tourism attractions, etc.) that are potentially to be liked by the user. structures of user preferences have been done in rating-based recommendation In this thesis, we will investigate how to learn from heterogeneous data sources using relative preference-based RecSys. 1.3 Overview of the Proposed Methodology • Chapter 2 presents a comprehensive survey on recommender systems in general with a focus on relative preference-based RecSys. Specifically, the relevant In general, OMF aims to generate an ordinal distribution Q(rui|u,i) over all possible rating values for each user/item pair. In general, OMF aims to generate an ordinal distribution Q(rui|u,i) over all possible rating values for each user/item pair. Pairwise Model-based Preference Relations Item Rankings � work_jldtmks7svht3leto6at5f65jq Archive California Agriculture Skip to Content Menu Search Share Share Print Print Site Map Site Map Enter Search Terms Enter Search Terms Facebook Facebook Twitter Twitter Reddit Reddit Pinterest Pinterest Tumblr Tumblr Delicious Delicious LinkedIn LinkedIn StumbleUpon StumbleUpon University of California, Agriculture and Natural Resources Home Home Advanced search Advanced search Contact us Contact us Associate editors Associate editors Subscribe Subscribe Submit articles Submit articles University of California University of California California Agriculture California Agriculture California Agriculture Archive Archive Archive University California Division of Agriculture Natural Resources Site Information Get PDF Reader sbnum=9680 | pagenum=52363 © 2021 Regents of the University of California Nondiscrimination Statement Accessibility Webmaster Email: wsuckow@ucanr.edu work_jlfwf3dlofbqhni3odkzekgvzy The final results of the ESCA project (Expert Systems for Chemical Analysis) are presented This IS one of the and evaluation of the developed expert systems The mtegratlon studies and the results of the vahdatlon and Fig 1 Dlfferent steps III the development process of expert systems area expert systems were developed that are representative of the whole area of method development selection of lmtlal method parameters, optlmlzatlon of selectlvlty and mstrumentatlon and The process of the development of expert systems consists of several stages and has many between workers who have the necessary apphcatlon knowledge and expertise and those responseble for the lmplementatlon of the expert systems software engineering expenence and a large effort m terms of manpower In recent years dedlcated tools for developing expert systems have When the experunental results are not satlsfactory, all three expert systems have an extension by which adaptations of the method are work_jmwy2qts4bh4tn2bnpbqflcqou fuzzy TOPSIS method, this study provides a rational and systematic process for developing the best model risky, plan for the potential sources of risk in each project and manage each source during construction (Zayed, Amer, & Pan, 2008). major steps in project risk management is to identify and assess Many construction project risk assessment techniques currently used are comparatively mature tools (Zeng, An, & Smith, 2007). criticality analysis (Bowles & Pelaez, 1995) are the classical quantitative methods, used in construction industry for risk assessment. Seo (2004) presents fuzzy risk assessment methodology for underground construction projects. the risk assessment model selection problem under a fuzzy environment in this section. Many construction project risk assessment techniques are A fuzzy approach to construction project risk assessment and analysis: Construction project risk management system. Risk assessment model selection in construction industry Risk assessment model selection in construction industry Risk assessment model selection in construction industry work_jqqvf7vkqfaztm3eqhkr7qvrzi techniques to extract sentimental causal rules and show their also propose sentimental causal rule discovery techniques of sentimental causal rules to process the tweets. This paper proposes a four-fold methodology for sentimental causal rule discovery. step is extracting the causal association rules based on the from all tweets which were later used in causal rule extraction. In other words, causal rules were extracted based on sentiment analysis in Twitter and also causal rule inference. To our knowledge the current work is the first one investigating Twitter user views using sentimental causal rules. sentiment analysis and causal rule mining techniques. words, the aspects in different sides of a causal rule could have SENTIMENTAL CAUSAL RULE EXTRACTION In this section, the details of sentimental causal rule extraction from textual data is explained. Based on the statistical processing of the tweets, we assigned three polarity values to each causal rule, which indicate work_jsnmrvhjlfgxfkyxshfjgxeayu These techniques are driven by a prediction engine or algorithm that guesses following actions of web users. For instance, prediction algorithms for web prefetching might work at objectlevel granularity because prefetching one object might reduce the user-perceived A wide range of prediction algorithms for web prefetching have been proposed in the literature over the last 15 years. studied in the Web. Algorithms falling in this category usually follow the longterm approach, where clients are subscribed to proxies storing specific objects, Most of the web prediction algorithms proposed in the literature lie in the analysis of the paths followed by each client, that is, in the sequence of requests. There is a large number of proposals specifically addressed to predict subsequent accesses from the sequence of requests that a web server receives. Davison [14] proposes an algorithm that predicts the user''s next web page Since the inception of web prefetching, the proposals of prediction algorithms work_jt4hkqjjjvf6rll3zjt3z4qbwi Nowadays, numerous journals and conferences have published articles related to context-aware systems, This paper is based on a literature review of context-aware systems from 2000 to 2007 using a keyword index and article title search. developed based on the architecture of context-aware systems, which consists of the following five layers: concept and research layer, network layer, middleware layer, application layer and user infrastructure layer. systems and introduced various existent middleware and serverbased approaches to ease the development of context-aware applications, where each layer is explained based on various research. context information; (3) based below layers, application layer provides users with appropriate service; and (4) to offer suitable interFig. 3. The classification framework is developed for classifying the literatures related with context-aware systems, based on the abstract layer involves overview, algorithm, development guideline, framework, context data management, evaluation and privacy and security categories. Context-aware systems can provide users with better service based on analyzing work_jvdpob6gy5gnzmz3q6hjkvlpui This paper presents a framework that merges various advanced information technologies for developing electronic commerce facilitate some tasks from those that take place in a commercial transaction moving to a second generation of e-commerce applications. present a prototype which integrates a multiagent system (composed by buyer and seller agents) with a Web application. Keywords: Electronic commerce; Intelligent agents; Natural language processing; Ontologies product ontology, (2) design of a database containing all application that makes use of agents to offer e-commerce For this project, we have employed available implementations of agent platforms which conform to FIPA (The The buyer agent''s target is to look for the products that a seller agent that offers the product and the number of units buyer agent to accomplish the product search task. These concepts are the ones the buyer agent utilizes to The buyer agent, once the concepts of the customer the application, a buyer agent is created. work_jx4y7pq42nhabgcfkfylz2q72e Formal multidisciplinary design optimization (MDO) methods [1] fall expert system with facts about features in the domain and system level optimization data. how the domain level design optimizations should proceed. the bounds and parameters provided as input to the domain optimizers working on their part of the decomposed problem. To assess the performance of the rule based coordination a number of standard MDO algorithms from the literature have been implemented in Matlab (BLISS) [4] and Multidisciplinary Design Optimization based on Independent The problems have been implemented in both the rule base framework and the Matlab MDO framework to problem is solved by all methods and the rule base (RB) performs well in this The single optimizer methods all solve the problem using only two or three system Performance of MDO methods for the subsonic aircraft design problem On the Coordination of Multidisciplinary Design Optimization Using Expert Systems /Optimize true work_jxg34bzn2zhejdpe2f3ali3ntq plaka karakter tanıma için geliştirilen birçok görüntü işleme teknikleri kötü hava koşulları ve kirli plakalar yüzünden etkili Bu olumsuz yönleri yok etmek ve etkili bir sonuç alabilmek için ortalama, ortanca, wiener gibi çeşitli temizlenmesi için yön bağımsız yayınım filtreleme yöntemi, dört farklı yayınım fonksiyonu ile test edilmiştir. yön bağımsız yayınım filtreleme sonucu görüntüdeki en az bozulmanın Perona-Malik''in ikinci fonksiyonu kullanıldığında ortaya Plate number recognition is one of image processing application, which is used to identify cars. Ancak bir çok filtreleme teknikleri görüntüdeki gürültüyü yok ederken orijinal görüntüde bozulmalar meydana getirmektedir. Görüntü filtreleme işleme için bir çok filtreleme teknikleri kullanılmaktadır yön bağımsız yayınım adı verilen bir algoritma geliştirildi. Bu çalışmada yön bağımsız yayınım filtrelemenin sonuçlarını görmek için gerçek uygulama alanı olarak plaka karakter tanıma sistemleri seçilmiştir. bağımsız yayınım filtreleme için geliştirilen dört değişik Perona-Malik yön bağımsız yayınım filtrelemede eşitlik yön bağımsız yayınım filtreleme kullanılmıştır. Görüntü işlemede kullanılan bir çok filtreleme Filtering," IEEE Transactions on Image Processing, vol. work_jxvwxbkuffgs7czgluejhqlakm A Web-based Expert System for Gypsy Moth Risk Assessment of the gypsy moth, it is important to develop decision aids that help assess the risks of estimate the risk that a forest stand faces from the gypsy moth based on the Keywords: Gypsy Moth, Risk Assessment, Expert System We have developed a web-based expert system called GyMEs (Gypsy Moth Expert System, pronounced "jimmies") to estimate the risk a forest stand faces from gypsy moth. assessment of the risk to a forest stand due to gypsy moth, which is characterized either as "very estimated impact of an expected gypsy moth population on stand defoliation, we determine the In GyMEs, risk is derived from a hazard rating combined with a defoliation prediction. Assessing the risk of a gypsy moth infestation requires knowledge and expertise due to a gypsy moth risk assessment for the stand. knowledge base that would result in a "risk assessment unknown" conclusion derived via the work_jy2fwvcsnbgfvk3ot7xdtsshhq A rapid identification system for metallothionein proteins using expert system Metallothioneins (MT) are low molecular weight proteins mostly rich in cysteine residues with high metal content. MT proteins are responsible for regulating the intracellular supply of biologically essential metal ions and they protect cells from weight proteins with different physical, chemical and biological characteristics. categorize MT proteins without aromatic amino acids and high metal content. Keywords: metallothionein; rules; artificial intelligence; expert system; isolation; detection; tissue samples; purification proteins using expert system. expert system developed from a set of physical and chemical The physical and chemical characteristics of MT proteins (1) protein with low molecular weight / high molecular weight, (2) proteins with metal content / without metal derived rules at every step were trained in an expert system Bioinformation by Biomedical Informatics Publishing Group open access Bioinformation by Biomedical Informatics Publishing Group open access Figure 1: Identification of MT proteins. work_jy6w7cqljzdzjc6p3l5pcxtmnm Thyroid Disease Diagnosis using Ontology based Expert System Thyroid Disease Diagnosis using Ontology based ontology based expert system to diagnose thyroid diseases. based on ontology for diagnosing thyroid diseases. the thyroid disease related diagnosis. An Expert System for Thyroid Diagnosis is developed System (ES), ontology and thyroid disease into an expert system based on ontology shall diagnose thyroid disease. diagnosis of thyroid diseases that uses the above methods is Fig 3.b. shows Thyroid Ontology Classes. Fig. 3.b. Thyroid Ontology Classes Fig. 4.c. Ontology based Expert System shows result Fig. 3.a. shows user selects gender "Female" and age Implementation of the expert system for thyroid disease diagnosis based on neural network and ontology gave the Comparison of Neural Network and Ontology Based Expert diagnosis of thyroid disease has been proposed and System Based on Neural-Fuzzy Rules for Thyroid Diseases Diagnosis," System for Thyroid Disease Diagnosis." International Conference on work_jzz5hvqpavfevdzghtewyapvni framework for constructing, if possible, a generative algebraic model for the structure of a kinship terminology (the terms used to refer to one''s kin). structural logic of a kinship terminology modeled by the KAES program to a genealogical space labeling system for categories of kin distinguished for reasons external to the kinship terminology, the KAES program makes it evident that the structural properties of kinship terminologies arise from logical constraints on the generation of structure and differences among The algebraic construction stops when an algebraic structure that is isomorphic with the kin term map for the complete kinship terminology has been generated. For Americans, the kinship terminology is composed of the terms such as son, daughter, brother, sister, mother, father, wife, husband, and so Kin term products are the bases on which the analysis of a kinship terminology structure Kin Term Map for the American Kinship Terminology Based on Taking Products structure formed by the kin terms in a kinship terminology. work_k252y2lh7fabhff6kzenb3gule Developing a Web-Based Advisory Expert System for Implementing Traffic Calming Strategies of applying traffic calming strategies on residential streets is described because there currently lacks a structured framework for related to traffic calming studies as well as interviewing with domain experts have been carried out. measures, prioritizing traffic calming strategies, and presenting solutions for different traffic safety problems. residential streets, suffer from different traffic safety problems Employing traffic calming strategies to deal with safetyrelated problems in residential streets requires experience knowledge-based expert system developed to deal with problems relating to public buses with respect to routes and schedule, level of service, and their reliability. In this section, different parts of the traffic calming expert system are described including knowledge acquisition, knowledge base, building tool, and user interface of CALMSYS. In this study, a web-based advisory expert system for implementing traffic calming strategies in residential streets was work_k2oirynn6bebfocf5z5ht2j4pa Dynamic Rescheduling Expert System for Hybrid Flow Shop with Random Disturbance For the problem of hybrid flow shop with random disturbance, a dynamic rescheduling expert system is established in Keywords: Dynamic rescheduling; Hybrid Flow Shop ; expert system, time repair The key of dynamic rescheduling is to obtain the scheduling solution quickly that can satisfy the dynamic rescheduling is to obtain the scheduling solution quickly that can satisfy the production References [5]-[6] address rescheduling problem on single machine, Then, two heuristic algorithms for disturbance of processing abnormal and machine breakdown are The realization of dynamic rescheduling expert based on G2 and computational results are definitions in the conceptual model, including schedule solution, job, operation, machine, constraint and Fig.1 The semantic network of dynamic rescheduling solver algorithm of time parameter repair (TPR); if the disturbance belongs to machine breakdown or machine-process-time machine-process-time The solving procedure of dynamic rescheduling is shown as follows: work_k36ubeddt5fuvoo5aum6ofmeuq explore two types of learning, deductive and inductive, in the context of a rule-based, deterministic Typically, these systems develop from consultations with recognized experts who provide knowledge and experience during the process of rule development and debugging. (see Fanty, 1985; Selman & Hirst, 1985; Waltz & Pollack, 1985). set of deterministic grammar rules and tested with sentences which are grammatical and ones that are not. the rules or sentences on which its training is based Experiments are conducted to determine the effectiveness of training and to investigate whether the connectionist network generalizes properly to ungrammatical and lexically ambiguous cases. As mentioned earlier, there are two distinct approaches to training a network to parse sentences. Rule-Based Training of Neural Networks 57 Rule-Based Training of Neural Networks 57 Rule-Based Training of Neural Networks 57 Rule-Based Training of Neural Networks 57 Rule-Based Training of Neural Networks 57 Rule-Based Training of Neural Networks 57 work_k3tmdyj3vzekrjwk53daausqkm by using high-resolution spatial grids and a high number of microphones, accurate acoustic localization systems require high computational power. The use of GPUs for implementing sound source localization algorithms has issues and do not discuss how localization performance is affected by using different numbers of microphones or a finer spatial grid. a 2-D SRP-PHAT implementation with different Nvidia GPU architectures. is aimed at demonstrating how localization systems using a high number of microphones distributed within a room can perform sound source localization in proposed acoustic environments for real-time sound source localization are presented in Section 4, describing the experiments conducted for studying the performance of the method in a real application context. Figure 3: Computational cost when for different number of microphones M and spatial resolutions r. The real-time implementation of the SRP-PHAT algorithm uses 50% timewindow overlap, with audio sample buffers of size L. GPU-based approaches for real-time sound source localization using the SRP-590 work_k6nztj3ypnbe7jzgie7uac7swq Expositing stages of VPRS analysis in an expert system: Application with bank credit ratings Expositing stages of VPRS analysis in an expert system: The variable precision rough sets model (VPRS) along with many derivatives of rough set theory (RST) necessitates a number of stages These include, (i) the identification of subsets of condition attributes (b-reducts in VPRS) which have the same quality of classification as the whole set, (ii) the construction of sets of decision rules associated with the reducts and (iii) the classification of the individual objects by the decision rules. q 2005 Published by Elsevier Ltd. Keywords: Bank ratings; Data visualisation; Decision rules; Expert system; VPRS The particular application of the described VPRS expert aforementioned bank data set, including snapshots describing the three stages of VPRS outlined previously. VPRS, is made up of objects described by sets of condition condition and decision classes is fundamental to VPRS (and work_k6us6ymj6vhtnbvdivfxfp7nby In the present study, a fault diagnosis system using acoustic emission with an adaptive order tracking technique and fuzzy-logic interference for a scooter platform is described. The order amplitude figures are then used for creating the data bank in the proposed intelligent fault diagnosis system. A fuzzy-logic inference is proposed to develop the diagnostic rules of the data base in the present fault diagnosis system. Keywords: Fault diagnosis; Fuzzy logic inference; Adaptive order tracking; Acoustic emission tracking technique is used to create different order amplitude figures of the scooter platform under various engine will be compared for fault diagnosis by using order amplitude figures of the scooter with normal and four fault conditions. adaptive order tracking technique and fuzzy logic inference Faults classification under various engine operation conditions with triangular membership function fault diagnosis in scooters platform using fuzzy-logic interference with adaptive order tracking technique is developed. work_k7evadzfrff7tepoln7wxbshni earthwork construction progresses, the equipment must be optimally reallocated in order to work adopts a popular EMO method, the non-dominated sorting genetic algorithm-II (NSGAII) algorithm, to tackle the multi-criteria optimization problem associated with resource as material type, the work rate for each task in the production line can be easily computed, times from incurring on the allocated equipment, in cases where the work rate of the previous The optimal allocation of earthwork equipment is carried with the main objective of duration of the production line work, Tpl, corresponds to the volume of material associated As the allocation of equipment dictates the resulting construction time and cost, the Steps for determination of total cost and duration of equipment allocation solutions 4 Allocate spreading equipment Total productivity in compaction task for solely on the optimal distribution of compaction equipment (the last task of the production each construction phase as a completely new optimal allocation of equipment, which must work_kaayfpvw3rcxtdhrfkbkaaatpi To filter spam from legitimate emails, automatic classification approaches using text mining In the first phase, it clusters emails in each given class into several groups, and an equal number of features (keywords) are extracted from each group to manifest the features in the minority class. of skewed and changing class distributions, and its incremental learning can also reduce the cost of re-training. Keywords: Email classification; Skewed class distribution; Concept drift; Incremental learning employed simple and straightforward methods, called filtering by rules, which classify spam emails by matching skewed class distribution and of no concept drift, we examine ICBC''s performance using the whole collected data Experiment I To examine the performance of ICBC under the condition of no significant class-skewed problem and of no concept drift To deliberately make significant skewed class distributions, we select five training data sets, each of which consists of 200 spam and 10, 20, 30, 40, or 50 legitimate work_kb2btv7j35cqdf75a6hukvutga Best Mortgages Canada | Valueland Mortgages Mortgages for the Self Employed Auto renew mortgage with your current bank (lender) seems convenient and easy, but is it the best option or right decision? At renewal time, it is the perfect opportunity for financial review, adjustments and shopping for a lower rate. Start earlier – 3 or 4 month prior to mortgage renewal, start to ask for mortgage rates in the market. Know the mortgage you get – interest rates are important for mortgage renewal, but it is not all. Please click here for the best rate for mortgage transfers or if you would like to know what options you have, please reach out Valueland Mortgage at 1 877 479 9998 or contact us here. Since 2002, Valueland has been the bridge between consumers and mortgage lenders. Valueland Mortgages Copyright © 2002-2021, Valueland Mortgages, Brokerage License #: 10133 work_kbc6ibbv3fh53pefhc4tqr4plu This paper describes an adaptive knowledge acquisition system that can learn first-order base, a knowledge base of background knowledge, an example database, an empirical ILP learner, a metalevel learner, and a learning controller. FOIL on inducing logical relations from perfect or noisy training examples. inductive concept learning to derive knowledge from examples stored in databases. used to induce knowledge represented as first-order logical relations (Dzeroski and logic programming and computational learning theory. induces first-order logical relations and improves itself during learning. the definitions of inductive concept learning and adaptive knowledge acquisition in knowledge that can modify the operation of the search and language biases (Lavrac An adaptive knowledge acquisition system is a relational concept learning can generate and parse the programs in the language declared by the logic grammar Table 6: A logic grammar for learning procedural search bias learning task, a specific Adapted-ILP induces logical relations from the training set work_kdo3jxr3xvh7rbksrlfmoi3qxe Several real world prediction problems involve forecasting rare values of a target variable. Namely, we propose to address such tasks by re-sampling approaches that change the distribution of the given data set to decrease These modifications allow the use of these strategies on regression tasks where the goal is to forecast rare extreme values of the approaches for the task of predicting rare extreme values of a numeric target variable. is that the goal is the predictive accuracy on a particular subset of the domain of the target variable Y the rare and extreme values. Namely, we propose the strategy of under-sampling observations whose target value has a relevance less than a user-defined parameter. The original Smote algorithm uses an over-sampling strategy that consists on generating "synthetic" cases with a rare target value. sampling approaches at predicting rare extreme values of a continuous target work_khbyjrfnerfmdiy6tnotx4dfl4 An approach will be proposed to discover the so-called during-temporal patterns (DTPs) in larger Let A={a1,a2,...,am} be a set of states, and DT a temporal database as shown in Table 1. occurs during the period of another state aj , which is a during-temporal pattern (DTP) with length database), each of which is the set of time intervals of a single state. Definition 2 Let A and T be finite sets of states and time intervals respectively with respect to a the support degree of a DTP pattern (Definition 3). The support degree of pattern α in Definition 3 is the ratio of the number of time intervals included examining whether DTPs are frequent, we may need to consider sub-patterns. Proof: Let β be a frequent pattern, and α is a sub-DTP of β. candidate patterns with length k is generated from the set of frequent DTPk−1 work_khyn5sbapngmhcwljgay3bweaa Microsoft Word 05 Flexible Iterative Learning Control_Zuojun Liu.doc Department of Automation, Hebei University of Technology, Tianjin, PR China 300130 A scheme of expert system based on iterative learning control is proposed. Simulation proves the feasibility and effect of the air conditioning control expert system based on flexible iterative Key Words : Expert System, Iterative Learning Control, Flexible Iterative learning control (ILC)[7-9] refers to the problem of expert system for the control systems with repetitive nature. on F-ILC used in the application of air conditioning control. repetitive trails, ILC obtains higher control precision turn by To sum up, the structure of flexible ILC based expert control Structure of flexible ILC based expert control system Flexible Iterative Learning Control Based Expert System and Its Application Flexible Iterative Learning Control Based Expert System and Its Application Flexible Iterative Learning Control Based Expert System and Its Application iterative learning control", Process Automation work_km4lywou7zavbdgujqkajdp5ju ranking and collaborative filtering algorithms in service recommendation. In this study, we propose a social network-based service-recommendation method, which considers users'' history service invocation behaviors, users preferences as well as trust relationships among users implied in social series of experiments on 86,719 users, 604,190 user trust-relationships and 963,591 reviews on 292,713 services/produces show that this recommendation method get better recall rate, precision, f-measure and rank score. service recommendation, which is based on users service recommendation method based on users recommending Top-K services to the active user. user input factor to predict Web services QoS values [20]. : Trust-based Service Recommendation in Social Network : Trust-based Service Recommendation in Social Network : Trust-based Service Recommendation in Social Network : Trust-based Service Recommendation in Social Network : Trust-based Service Recommendation in Social Network [9] Shuiguang Deng, Longtao Huang, Guandong Xu. Social Network-Based Service Recommendation with collaborative filtering based Web service recommendation work_kpdo4nx2xnahtfqwp3w53eq7hq Simulation-optimisation based decision-support for coordinated disaster relief last mile distribution SIMULATION-OPTIMISATION BASED DECISION-SUPPORT FOR COORDINATED impact of road closures on supply and optimal transfer time-horizon, a limited number of transfer points have transfer points, an optimal scheduling of requests to request, four potential transfer points, one public As a result, both vehicles travel to the first transfer point public vehicle at the second transfer point, the retailer demand and supply points, vehicle depots, potential transfer points as well as available vehicles, network times, vehicle routes and coordination decisions. Each time a new request occurs or roads open or close, points and which public vehicle should at what time wait times are considered by selecting transfer points Figure 5: Lead time calculation to select transfer points transfer points allows reducing lead times and a limited number of transfer points out of a set potential Figure 10: Impact of the number of open transfer points work_krmvgatlr5ce3mvlxofc3t3e2i difficulty of the adaline unit to classify non-separable training examples, the notion of of ''close'' examples are produced from the initial training set and a copy of the neurule for each That is, in case of failure, we produce two subsets of the initial training set of the involved neurule, which contain ''close'' success examples and train a copy of the s neurules produced from empirical (training) data (see Section The algorithm for constructing a hybrid rule base from empirical (training) data is each initial neurule using its training set and produce the corresponding produce as many initial neurules as the different intermediate and output variablevalue pairs specified. that the output variable can take three possible values, we need three initial neurules, The training sets of the initial neurules are extracted from the empirical data Initial training sets for the contact lenses example The neurule base for the contact lenses example work_krrqblgh6fb2jce4fr2c4f4o7q The existing disparity in the healthcare coverage is a pressing issue in the United States. healthcare coverage and much research is needed to identify the factors leading to this phenomenon. the healthcare coverage of individuals by applying popular machine learning techniques on a wide-variety of predictive factors. Twentythree variables and 193,373 records were utilized from the 2004 behavioral risk factor surveillance system survey data for this study. Using two popular machine learning techniques, this study identified the factors that likely to be without healthcare coverage through the application of accurate classification models can potentially be used in reducing the Keywords: Healthcare coverage; Data mining; Prediction; Classification; Neural networks; Decision trees Race or ethnicity may also be a factor contributing to healthcare coverage disparity (Carrasquillo have succeeded in identifying variables that seem to contribute to the disparity in healthcare coverage for the subgroup. This study will look at healthcare coverage disparity across work_ksczsj2scra5peij5nkle3u6ei collaborative ontology design) project, which aims to develop a novel paradigm for knowledge structuring completed: research into correlations between the expert''s individual cognitive style and the peculiarities of the expert''s subject domain ontology development; and research into correlations between the expert''s to organizing collaborative ontology design (especially for research and learning purposes), data structuring and other group analytical work. Recently, the ontological engineering perspective has gained interest in many research domains, such as medicine, business and computer science (Brochhausen et al., 2011; Section 5 introduces the main results of collective ontology development, taking into account the cognitive styles of participants. However, the ontology-based approach to conceptual knowledge representation in research and pedagogy is a relatively new extent, as knowledge by definition includes a component of personal subjective perception; however, using the ontologies developed by others is a convenient and compact means of acquiring expert''s individual cognitive style and group ontology design work_kswnvow3nfcytg7u3nxxhnzzsy SISLT COE Website Archived Website Archived This website has been taken off-line. We are sorry that we have to retire a resource that has been very useful, and apologize for any inconvenience this may cause. However, the content for the site and the program code that runs the site is no longer being maintained due to lack of funding. Without proper maintenance the site cannot be kept secure and running. To view the courses we have offered since 2001, please visit MyZou and click on Schedule of Classes (Guest Access). If you have questions or concerns please contact sislt@missouri.edu. © 2019 Curators of the University of Missouri. DMCA and other copyright information. All rights reserved. An equal opportunity/access/affirmative action/pro-disabled and veteran employer. work_kti2eifb7rbd7peetif77jx5f4 The selected features were fed into a well designed 3-layer neural network classifier that is trained by a back-propagation algorithm. neural based facial expression recognition system that used principal component analysis (PCA) to reduce the feature vectors. Kumbhar, Jadhav, and Patil (2012) described a neural network classification facial expression recognition system that employs Gabor and Pawar (2012) extracted features of the face using Affine Moment Invariants and performed the classification using feed-forward neural network. extracted the expressive face by using Gabor filters, feature reduction by PCA and expression classification by neural network. expression classifier and extracted the facial features by Gabor filters and reduced the features via PCA. The Patch based feature extraction method is another alternative widely exploited for facial expression biometrics. The selected features represent samples of the facial deformation patterns of the expressive face. The selected features are fed into the constructed neural network to train it to identify the seven universal facial expressions. work_ktt4ulqwjjbihpp37txhu7g6we Therefore it is important to identify the needs of different customer groups and to provide respective A/S association rule to identify customer groups and their needs. This group considers important the A/S factors in all of service sections, including at the call center, the home visiting service, and claim handling. Group 3 customers put weight on A/S factors dealing with the call center and the home visiting We expect that manufacturing firms can strengthen CRM (Customer Relationship Management) by Keywords: A/S (After-sales Service), fuzzy clustering, association rule, CRM C-Means (FCM) clustering via customer satisfaction, to measure overall customer satisfaction, complaints, resulting indicators (customer satisfaction, loyalty, customer satisfaction, complaints, and loyalty. Group 2: The average of customer satisfaction and Group 2: The average of customer satisfaction and Group 3: The customer satisfaction, loyalty and of A/S operations customers of each group think are each group of manufacturing customers thinks are work_ktzd2efr4jbidabo2vk3lxcvmq These results confirmed the suitability of REGEN to predict the future species composition of stands regenerated using the and management guidelines have been developed to evaluate regeneration potential in primarily oak dominated Central hardwood forests (Sander, The REGEN model is an expert system designed by David Loftis to predict the species composition of upper canopy (dominant and codominant) clear-cut stands in the model calibration data set, maples and pioneer species upper canopy species composition of the regenerating clear-cut stands (measured) in the model calibration data set. species composition (based on upper canopy measurements from regenerating clear-cut stand inventories) for each paired stand in each data set. describe the species composition of regenerating stands following clearcutting in the 48 paired stands of the model calibration data set that was stems for each species group individually from regenerating clear-cut stands in the Central species group individually from paired stands in the Central Appalachians used for model work_kuqj5kgfqzfkfoou7u523f5j2q allows arbitrageurs to take advantage of the disparities between the futures and stock markets and provides opportunities to make risk-free profits. an increasing number of program traders have substantially changed the face of the stock market. amount of stocks in both markets and converts the premium into profits when the futures contract expires. value, then program traders sell stocks in the stock market and at the same time buy an equivalent amount of futures contracts. futures market are appropriate for program trading. the deductive reasoning mechanism works with the knowledge base to find opportunities for program trading. In order to determine the appropriate probabilities, the system maintains three standard patterns: bull market, neutral Each pattern represents a probability distribution of premium in the corresponding market situation. system creates the market model by computing the probability that the premium will be higher than a certain value. work_kwxbifzmlrcnjkqrj2uy5wnbmi Now with the rapid development of information science and technology, intelligent apparel recommend has drawn wide attention kind of object-oriented blackboard structure, which is applied in the apparel recommend expert system and establishes expert customer through the human-machine interaction from the point of view of the apparel experts. scheme for apparel retail based on expert system technology proposed apparel recommend expert system can generate the Structure of Intelligent Apparel Recommend Expert System. Figure 1: Structure of apparel intelligent recommend expert system. the set of rules that generate apparel recommended program activate other knowledge sources, until the final recommendation scheme is generated [14]. Figure 2: Flow chart of apparel intelligent recommend expert system. a meta-level knowledge and meta-level reasoning apparel recommended expert system. expert system is to generate apparel recommended menu. Apparel intelligent recommend expert system can call the Apparel intelligent recommend expert system can call the work_kxlz6lnai5bdbllarzrckrpaxa use either quantitative (likes, ratings, etc.) or qualitative data (polarity score, sentiment score, etc.) only provides topic-based (fiction, comedy, horror, etc.) movie recommendation but also uses both quantitative and qualitative data to achieve a true and relevant recommendation of a movie relevant polarity score from user reviews, which represent the qualitative aspect of likeness of a movie. system uses a multi-variant popularity matrix to recommend a suitable movie to a user on the basis logic-based module provides the final recommendation of movies in a particular field of user''s (rating, votes and likes) of the movies are normalized and computed to achieve weighted aggregate of The proposed approach works on the fetched data (scores and reviews) from a set of movie The proposed approach works on the fetched data (scores and reviews) from a set of movie Some computed values such as polarity scores of movie reviews from participating sites, which are work_kxnytaeovfgx5ka7hu2mrtlgwu vibration characteristics of a rotor-bearing system, the condition of a rotating machinery carried out in an Object Oriented Programming (OOP) framework using the finite element Keywords: Condition monitoring, Vibration, Finite element method, Expert system, Sarath Kumar and Prabhu (1997) presented a rulebased off-line expert system for condition monitoring of a rotating machinery. journal bearing using the finite element method. dynamic characteristics of rotor supported on hydrodynamic bearings using FEM and validated the theoretical analysis for predicting stability of a symmetrical, flexible rotor supported in journal bearings. rotor dynamic analysis with expert system for predicting the malfunctions in a rotating machinery. function, speed of rotor, number of point masses FIGURE Passing of data from class shaft to main program via member functions. For a given rotor bearing system the program the journal bearing and critical speeds, unbalance rotor-bearing modeling using the finite element rotor-bearing modeling using the finite element work_kyquynut5jc2bbfsalcv26na4q Peak Power Demand Reduction Under Moving Block Signalling Using Simulation results show ARL achieves better peak demand reduction under certain traffic peak power demand and delay reduction; and their balance under various operational re-starting trains under MBS while reducing the peak power demand. To tackle this problem, starting time delay (STD) and acceleration rate limit (ARL) have urgency of peak demand reduction according to the relative position of trains within the expert 4.2.1 Starting time delay: Peak demand reduction at AS and BS under different time delay or more peak demand reduction as a result of the recommended measure, the expert in order to suit operation conditions and user requirements on time delay and peak demand Performance concern: Both peak demand & time delay reduction When a time delay is introduced between the two train groups (cases D, E, G and I), the peak and Table 1 Peak demand reduction with different train weights work_kz5fdhrbfvhljh6q7vxobdhzk4 The analysis identified three and two cluster segments respectively for the MART Keywords: Bagged clustering, Logit models, Museum, Segmentation, Motivation. research team, for the sake of tourism market segmentation (Dolnicar & Leisch, 2000, 2003; standard clustering methods for both continuous and binary data sets (Leisch, 1999). The Bagged Clustering algorithm considered the k-means as base method, with K=20 Results of the Bagged Clustering method for the MART Visitors of cluster 3 visited the museum mainly because for the sake of satisfying a Clusters of ÖTZI visitors recall similar segments as those identified for MART. The visitors of MART museum were grouped into three clusters while those of the ÖTZI which of them is better for segmenting visitors of museums and cultural attractions. MART museum: Bagged Clustering dendrogram together with the plot regarding ÖTZI museum: Bagged Clustering dendrogram together with the plot regarding the MART museum: box-plot for the three clusters solution. work_l4gu7odznvbzbmx7s3mssyjs7m Calibrated fuzzy AHP for current bank account selection Calibrated fuzzy AHP for current bank account selection In this paper, a way to calibrate the membership functions with comparisons given by in a study measuring the most important factors in selecting a student current account. This paper proposes a way to calibrate the membership functions with comparisons given by the decision-maker on In this case, we asked to compare the surface of geometrical figures and as a result, the membership function was personalised for each participant. AHP with the customised membership functions is applied to a case The key idea is that a certain degree of an element belongs to a fuzzy membership set, which is given by a function depicted on a two-axis diagram. Fig. 3 represents the customised membership functions of all verbal judgements. This explorative study will give an insight into the most important criteria in selecting a student bank account using calibrated work_l543wnt5qnf2jfz2knphpdvvsm https://portal.research.lu.se/portal/en/publications/an-architecture-for-expert-system-based-feedback-control(f7b7cc68-31fb-4e83-b338-d48dffd9cf01).html An architecture for knowledge-based control is described where two concurrent processes are used for the knowledge-based system and the numerical into subtasks which are implemented as separate knowledge sourcee that can be rule-based with different Real-time expert systems, Feedback control An architecture for knorvledgebased control is described where two concurrent processes are used for the knowledge-basecl knowledge sources that can be rule-based with different inference strategies or procedural. Keyuords: Real-time expert systems, Feedback control adds to thc already high cognitivc burclc¡r that process operators are exposed to in modern control systems. I{nowledgebased control is a real-time expert system applicalion and, as suclì, contains several difEcult problems Knowledge sources can be rule-based with The operation of the knowledge-based controller involves the actiyation of different knowledge sources One knowledge source takes care of the actual control algorithm for knowledge-based control applications but is not Real-time operating systems for process control work_l56qdmdo5ffbheakeupbix4od4 The problem of grouping basic units into larger geographic territories subject to dispersion, connectivity, and balance requirements is addressed. territory design problem, a greedy randomized adaptive search procedure (GRASP) that incorporates a novel construction procedure where territories are formed simultaneously in two main stages Salazar-Acosta and Ŕıos-Mercado [29] present a heuristic based on GRASP and adaptive memory programming for a CTDP that considers the minimization of a p-Center Problem function This section introduces the proposed GRASP heuristic with path relinking for the commercial territory design problem (GPR CTDP). Figure 3: Solution found after applying the local search procedure for an instance of the CTDP. iteration of the GRASP a solution is constructed and improved with local search, XS. This section describes results of experiments designed to evaluate the effect of the proposed construction and local search procedures. Figure 7: Solutions obtained by the construction, local search and static PR procedures for a work_l6q4o7kqwnh3jmqca4gmv4sqxm recommender systems (Ricci, 2002) aim to match the characteristics of tourism and leisure resources or attractions with the user These systems are especially useful if they can automatically learn the user''s preferences through the analysis of her explicit or implicit feedback (Sieg, Mobasher, & Burke, 2007). systems (Buhalis, 2003) provide a good opportunity for mobile services that help visitors by offering recommendations based on section we analyze which interfaces are commonly used by tourism recommender systems to interact with users, discussing especially the differences between mobile and Web-based approaches. This section analyses the user interfaces of recent tourism recommender systems. To do so they proposed an ontology-based tourism recommender that allows the automatic and dynamic integration of heterogeneous on-line travel information. the different mobile tourism services (restaurant, hotel, sightseeing spot, user profile, and tour plan recommendation). There are several systems that provide an initial set of recommended activities (or an initial plan), with which the user can work_l7g5umz4bnfeflcudj6itwakna A multi-agent system to construct production orders by employing The authors describe the implementation of a multi-agent system, whose goal is to enhance production planning i.e. to improve the how an intelligent and collaborative multi-agent system (MAS) obtains a correct production order by coordinating two different techniques to emulate intelligence. agent, the objective being to determine the appropriate machine in order to fulfil clients'' requirements. We achieve a realistic MAS that fully automates the construction and dispatch of valid production orders in a factory dedicated to produce labels. Keywords: Multi-agent systems; Production planning; Expert systems; Artificial neural networks In (Feng, Stouffer, & Jurrens, 2005) a rulebased system is provided to agents to plan manufacturing Then, the raw material is grouped into families to simplify the planning process and to determine how to acquire agent-based production planning with the collaborative in a multi-agent system for distributed process planning. work_lazgfeppefb75jh4qegfhihxte THE GRAPHICS ADVISOR: A PROTOTYPICAL ADVISORY EXPERT SYSTEM Los Alamos National Laboratory Research Library llIe Graphics Advisor is an expert system that Graphics Advisor is Griented toward libraries that arc supported try the Computing and Communications Division at Los Alamos, it exemplifies a class of knowl~dge-based .sys[cms that arc polcIltiitll~ useful iII a varir[y of advisory situatiwls. TCP/l P-ba*ed workstations ill users'' offircs.[1 ] Office is not responsible for coi)slilting on thirdpar{)" graphics software that users might instail on passively or actively help the user dbring interactive use of the software. a library, the Graphics Advisor will typi( ally 1,,, The inlplicit user model in tlw ~; raphics Advisor user''s problem: they arc used to store references to \vill] requirements defined by Lhe user, Libraries built-ill capabilities for designing direct manipulation user interface Such interfaces are easy to The user interface to the Graphics Advisor requires work_ldcd3yq7wverxmugytokxwwahe Conclusion: We proposed an enhanced risk-based test case prioritization approach that estimates requirements risks While the majority of test case prioritization approaches utilize source code information, some researchers have investigated using other software artifacts, such as risk-based test case prioritization approach by considering the direct relationship between requirements risks and the While our previous research was shown to be promising, the approach required human experts'' involvement during the risk estimation process. The results of our study indicate that the systematic, risk-based test case prioritization approach has the capability to find faults earlier compared with other test case prioritization techniques, including our previous requirements riskbased approach. case prioritization techniques, mainly focusing on techniques that use requirements, risks, and fuzzy expert systems • Heuristic (Tfrrb): The proposed technique uses a fuzzy expert system to estimate requirements risks and prioritizes the test cases as described in Section 3. work_ldtjjd6yffebdlzeevskcuf6xu Evaluating new product development performance by fuzzy linguistic computing Evaluating new product development performance by fuzzy linguistic computing New product development (NPD) is indeed the cornerstone for companies to maintain and enhance the However, developing new products is a complex and risky decision-making process. presents a 2-tuple fuzzy linguistic computing approach to deal with heterogeneous information and the performance of NPD manipulates the heterogeneous integration processes and avoids the information loss effectively. New product development (NPD) is undeniably vital in determining the economic success of manufacturing companies. manipulate the operation of qualitative factors and expert judgment appropriately in the evaluation process of NPD could brook In this paper we propose a suitable model based on 2-tuple fuzzy linguistic information to evaluate the NPD performance. In Section 4a NPD performance measurement method based on 2-tuple fuzzy linguistic information is proposed . Ozer (2005) indicated that the quality of new product evaluation decisions is affected by four major sets of factors, namely work_lfs4kidgmbhqnnedxcv2k6o6m4 work_lgr5suct7rhcdlkzwade3g4fhm Feature selection methods in application to gene expression: The paper presents the application of several different feature selection methods for recognizing the most significant genes and gene sequences (treated as features) stored in dataset of gene expression microarray related to autism. In the next step fusion of the most relevant features selected by different The optimal number of features has been defined as the set providing the best clustering purity. Keywords: feature selection, gene expression microarrays, clustering, autism. Present data mining methods allow to look at the gene application of feature selection methods allows to identify a different feature selection methods will be examined and values of the randomly selected gene for the autism and randomly selected gene representing two classes (autism and The other statistical feature selection method applied in mean value of the feature for the kth class data, σ2(f) is a set of genes selected individually by different methods and after work_lguabr33l5h7jekr56bsun2o64 dataset of scientific research proposals, and by distilling from the case study a general discrimination discovery process. Keywords: Discrimination discovery, Gender bias, Case study, Situation testing, Data mining, KDD process gender differences in manuscript reviewing, grant funding, university admission, and hiring and promoting in research. Finally, we mention the related research area of discrimination prevention in data mining and machine learning (Calders and Verwer, 2010; Kamiran and Calders, 2012; of statistical tools, legal argumentations, economic models, and experimental approaches for discrimination data In a legal setting, situation testing is a quasi-experimental approach to investigate for the presence of discrimination by checking the factors that may influence decision Table FORM A contains data on the PI (gender, age, title, institution) and the research program of the In this section, we start applying a discrimination discovery approach to the pre-processed datasets of proposals in program P1 (resp., P2) with reference to the peerreview decision. work_lizh6fmihnd4venudgttrcwqmi a global alarm level based on data fusion from all the sensors of the network. on the signal provided by more than one sensor, and the production of a global alarm level based on The BONAS project developed a network of advanced sensors able to detect traces of precursors Precursors considered as targets of the different sensors included in the network. The colour code obtained by each sensor for each target substance at this step is stored in a matrix, whenever lidar/DIAL remote sensor has a positive detection, alarms are triggered for all the target STEP 2: High-Level Data Fusion for Single Target Substance Detection sensors measuring the same target to provide the user with a unique alarm value for each compound. Similarly, when only one sensor is detecting that target substance, the same alarm level and the same sensors which have detected the couple of target substances are located within the distance threshold work_llenip2c6jb7zoiyterzi2w6mu Rule-based expert systems to support step-by-step guidance in algebraic problem solving: The case of the tutor PAT2Math Rule-based expert systems to support step-by-step guidance in algebraic In order for an Intelligent Tutoring System (ITS) to correct students'' exercises, it must know how to solve The ES is responsible for correcting student steps and modeling student knowledge components during equations problem solving. processes such as one-on-one learning, immediate personal feedback, demonstration of problem solving when students are having The inner loop provides stepby-step guidance during problem solving activity. Our main goal is to present this module knowledge and explain how to the ES implements problem solving and An Algebra task is generally a word problem for the student to In the next section, we will describe the main Algebra Intelligent Tutoring Systems and the tools and types of feedback they offer to help students solve algebra word problems in these two work_llg5s5igsrckbapxj33ntbcgb4 The knowledge on which nursing practice is based comes largely f r o m traditional sources, expert Nursing is the holistic helping o f persons with their self-care activities in relation to health. diagnoses and developed standard care plans for the nursing problems.15 Ultimately, a It is not constructed to compare patient data to a nursing knowledge base and reach decisions about nursing problems or nursing care. it is up to the nurse, not the computer system, to classify data according to need categories, to determine the nursing problems, and to select and modify care plans appropriately, i0 and fluid knowledge and decision structures necessary to design and evaluate care appropriate to individual patients remains exclusively in the mind of the nurse. The ability to generate client-specific diagnoses and care plans from the nursing Objectives are derived from the client data base, the diagnoses, and knowledge of work_lmef6ienqzcznh2ngbbeber26a Expert environments: machine intelligence methods for ambient intelligence Expert environments: machine intelligence methods for ambient intelligence Ambient intelligence, commonly abbreviated as AmI, is primarily concerned with human–environment interactions. an intelligent agent able to interact with users, The history of ambient intelligence starts in concept of ambient intelligence by publishing the report Scenarios for Ambient Intelligence in 2003 under the title Ambient Intelligence: from Ambient intelligence''s emphasis is on support Since its inception, ambient intelligence has ambient intelligence. ambient intelligence. entitled ''A multi-camera vision system for fall preferred in ambient intelligence to accelerometers or other devices because they are not Journal Compilation c� 2007 Blackwell Publishing Ltd Expert Systems, November 2007, Vol. 24, No. 5 293 entitled ''Knowledge representation for ambient the interaction between the user and the environment with specific reference to security Similarly, in the paper entitled ''Context-aware environments: from specification to Ambient Intelligence in 2010, Technical Report 10, work_ln3yl3e2jjezbhzw2ekrdhgmmq The declarative process model based on the guidelines and event data is subsequently used for continuously monitoring deviations. ProM can be used to discover declarative process models from event logs, check the conformance of such The Declare model for this process involves five activities: First Hospital Admission, Preoperative Screening, Open Gastrectomy, Laparoscopic Gastrectomy and Nursing, and seven constraints: three derived from • Precedence between Preoperative Screening and Open Surgery, Preoperative Screening and Orchidopexy, Preoperative Screening and Inguinal Hernia Treatment: according to the World Health Organization clinical guidelines for surgery, every surgical treatment cannot be executed without preliminary examinations required in order to prevent risks for patients. Table 4: The cryptorchidism treatment: conformance checking between the de jure model and the event log through the Declare Figure 13: The cryptorchidism treatment: conformance checking between the repaired model and the event log (Declare Figure 13: The cryptorchidism treatment: conformance checking between the repaired model and the event log (Declare work_loxphymenzbbnpykm2xiscsjpi DESIGNING EXPERT SYS''lXMS IN A BUSINESS ENVIRONMENT involved in developing expert systems for business applications, with An expert system (ES) is a computer application that provides decision support has to generate a large number of expert decisions in a relatively short period Finally, successful business utilization of expert systems technology subsystems, such as transactions processing systems and database management 2. EXPERT SYSTEMS IN THE BUSINESS ENVIRONMENT 2. EXPERT SYSTEMS IN THE BUSINESS ENVIRONMENT applied successfully to both transaction and middle-level information systems, level systems, namely high volume with its need for speed, and decision One of the most important sources of information for the underwriting decision What is different in the development process for an expert system based on the ES in business differ from many of the expert systems created to date. application for business ES1s is at the transaction level, for processing more work_lpc476slxvcqfexd5moavsefpy of Rule Based Expert Systems (RBES) using algebraic inference engines and based on Gröbner bases Based Expert Systems (RBES) using algebraic inference engines. consequence in multi-valued logic with an ideal membership in a polynomial residue class ring). We can obtain a polynomial model for the Boolean algebra associated to (propositional) Boolean Logic, as we can move from the propositional Boolean algebra to the polynomial ring following the two alternative As a consequence, we shall be able to implement very easily an algebraic tool to perform effective computations in propositional Boolean logic. Definition 10 In the propositional Boolean algebra (C,∨,∧,¬,→), the (principal) ideal generated by Q Definition 17 A RBES is said to be inconsistent if there is a consistent set of facts verifying that contradiction can be obtained by forward firing of these facts and the rules and the negation of the integrity A polynomial model for the propositional Boolean algebra associated to RBES work_lpfqcnje75gvjh7fqjryfk2gou [PDF] A connectionist expert system for fault diagnosis | Semantic Scholar Corpus ID: 36916022A connectionist expert system for fault diagnosis Abstract The design of a connectionist expert system for the fault diagnosis of a distribution system is proposed. Figures and Tables from this paper View All 6 Figures & Tables Sort by Most Influenced Papers Sort by Citation Count A new connectionist expert system scheme for distribution system fault diagnosis Intelligent Approach for Fault Diagnosis in Power Transmission Systems Using Support Vector Machines Online expert systems for fault diagnosis in technical processes Object-oriented expert systems for fault diagnosis View 11 excerpts, cites methods and background Connectionist expert systems Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License work_lpsq3va57netlcnxnhp4pcz2zq a new method to create text patterns and a new heuristic measure for mining ideas to realise the With this measure, text patterns can be classified as new and useful idea. Figure 1: Processing of our idea mining approach in different steps: After tokenization and term filtering, text from the new text are compared to their most similar term vectors from the problem description using the idea With the idea mining measure, we compare a vector that represents a text pattern from the new text to its most similar vectors from the problem description to identify a new and useful idea text pattern from the problem description then the idea is not new to the user. further terms occur in the text patterns that are not related to the new and useful idea. approach extracts ten text patterns then four of them represent a new and useful idea. work_luhg4p4curaffnoxsi3hvlg2lm approach termed Simulated Uncertainty Range Evaluations (SURE) to aid decision makers in the presence The new method utilises simulations based upon triangular distributions to create a plot which a large pharmaceutical company, SURE was compared to other widely-used methods for decision-making case study demonstrates that SURE can perform better than other existing methods for decision-making information from the decision-maker as MARE, i.e. criteria weights and the minimum, 4. Calculate the results of s decision tables using the weighted sum method. As the simulated decision tables only have one value for each alternative with is then used to calculate a score for each alternative for the s simulated decision tables. The decision-maker also identified five alternatives; Packed Column (a1), Membrane This paper presented a new multi-criteria decision-making method termed Simulated dissimilar results for MARE and SURE that are both based upon the weighted sum method Figure 9 Case study results for SURE on separate plots using AHP weights work_lv4egn54gbaijckh5yvmruh64y Expert systems in service operations. Expert systems in service operations. classification scheme for the application of Expert Systems (ES) in the service operations area. a categorization of ES in the service sector and also to detail future needs in the application of ES technology and provides a perspective on how ES have been used in service operations. This article takes a first step by providing a categorization of ES in service service operations has been provided in Figure 1. Expert Systems and their Importance in Service Operations Organizations can use ES to leverage scarce human expertise to improve customer services due fact that the ES could be extremely useful in the decision-making process of both the service Categorization of Expert Systems in Service Operations Service operations management applications of ES applications in service operations. This article has presented a categorization of the applications of ES in service operations application opportunities for ES in service operations management. work_lvv6byn3mnbh3pdw2x5apxx3be Background: The diagnosis of pulmonary embolism demands flexible decision models, both for the presence this requirement, Bayes Pulmonary embolism Assisted Diagnosis (BayPAD), a probabilistic expert systems prospective study done in an Italian tertiary hospital where the true pulmonary embolism status was confirmed BayPAD (accuracy) and the correctness of the pulmonary embolism probabilities predicted by the model Conclusions: BayPAD offers clinicians a flexible and accurate strategy to diagnose pulmonary embolism. Investigative Study of Acute Pulmonary Embolism Diagnosis (PISA-PED) study on the diagnosis of pulmonary embolism25 to Abbreviations: BayPAD, Bayes Pulmonary embolism Assisted Diagnosis; PISA-PED, Prospective Investigative Study of Acute Pulmonary Embolism PISA-PED, Prospective Investigative Study of Acute Pulmonary Embolism Diagnosis. pulmonary embolism, like in the PISA-PED study. probability of pulmonary embolism for a specific patient, and Bayes Pulmonary embolism Assisted Diagnosis (BayPAD) working with two real clinical examples. pulmonary embolism in clinical outcome studies. work_lydzvx52yjdtdgjrphenz3g4uy Does segmentation always improve model performance in credit scoring? scoring model (scorecard) can be developed for the entire customer population, e.g. found that segmentation does not always improve model performance in credit scoring: for none of the analysed real-world datasets, the multi-scorecard models Credit scoring; Segmentation; Logistic regression; CART; CHAID; LOTUS These models and techniques are used to assess the credit risk of bank customers develop such a multi-scorecard model, segmentation has to be applied. approaches, segmentation is followed by the development of a regression model in In the simultaneous methods, both segmentation and regression models Logistic regression is the most commonly used method for developing scoring models. segmenting customers but also for developing scoring models (Thomas et al., 2002; finding is that segmentation does not always improve model performance in credit The Gini coefficient values of models, scorecards and trees The KS statistic values of models, scorecards and trees work_lykvmffhsvao5iyxubj4bhlgne The HQE method employs a combination of ontology-based collaborative filtering and neural networks to improve query expansion. provide less query information at the beginning than traditional collaborative filtering methods. The HQE method employs collaborative filtering combined with the Semantic Web and neural networks to improve feedback technique that re-ranks the set of initially retrieved documents based on the controlled vocabulary terms assigned to the the HQE method presents some algorithms to improve query method uses ontology information to find the similar users, acquires the relevant web documents from these similar users'' queries, and the relevant web documents are used by the RBF In contrast to the above work, the HQE method employs ontology-based collaborative filtering combined with neural networks Branch and bound algorithms are methods for global optimization in non-convex problems (Lawler & Wood, 1966 & Moore, using the trained neural networks, rank a set of web documents acquired from these existing similar users'' queries, work_lzposws5kvh67ch4d4vnaurek4 This case study analyzes eight expert system applications that have successfully been in industrial use for a long time. been involved in the development of these applications and are thus in a good position to analyze what is important for a successful of the applications, to the trade-off between usability and automation, to the role of human experts in the use and development of expert Keywords: Expert systems; Industrial applications; Lessons learned; Success factors; Implementation issues We have personally been working on the development, deployment, and use of these applications. factors were: problem importance, developer characteristics, shell characteristics, and with less confidence: enduser characteristics, ES desirable impact on end-user jobs, the group was to develop knowledge-based applications for The main expert system applications developed at Nokia Research Center in 1986 – 1990 Knowledge-based applications are often seen as the orthodox way to develop expert development of a knowledge-based application, in our work_m2cwseludvhjrmju2eamkqcyby Clustered defects cause the conventional Poisson yield model Although some yield models, such as negative binomial or compound Poisson models, consider the effects of defect clustering on yield prediction, these models have some drawbacks. This study presents a novel yield model that employs General Regression Neural Network (GRNN) to predict wafer yield for The proposed method utilizes five relevant variables as input for the GRNN yield model. Keywords: Clustered defects; General regression neural network; IC; Pattern; Yield model GRNN to predict wafer yield with clustered defects. The prediction accuracy of the proposed approach is compared with those of the negative binominal yield model and Meyer and Park (2003) present a center-satellite model to Predicting defect-tolerant yield in the embedded core context. The GRNN model, then, is used in this study to predict wafer yield. defect clustering patterns to predict the wafer yield in IC Novel yield model for integrated circuits with clustered defects work_m334rjrvzvff7a74iqx4arnla4 The Development of ALADIN, and Expert System for Aluminum Alloy Design ALADIN is an expert system that aids metallurgists in the design of new aluminum alloys. project is given, including discussions of knowledge acquisition techniques, design decisions and The alloy designer usually begins his problem with a set of constraints on the physical properties of Once property constraints are specified, designers usually select some baseline alloy to begin their There are rules that indicate the effects of these design choices on properties. During the first iteration, many alloy designers were involved in the knowledge acquisition process. problem selected was the first iteration in the design of aluminum lithium alloys. Two types of data elements were created to hold information about the alloy design problem the plans for how to solve the alloy design problem by building context elements and high level goal trees. During the first iteration, design problems were decomposed according to property targets. work_m34d4rlyzbeabool2o2ptqd6lu such a modeling tool: the IDES (Influence Diagram Based Expert System) developed at the University of Expert systems: influence diagrams; probabilistic modeling: diagnostic reasoning: probabilistic inference. On the relational or symbolic level the nodes in the influence diagram an influence diagram: 1) state (circular nodes), 2) decision or absence of an arc between the corresponding nodes as illustrated in the influence diagram in Figure 2. In a more rigorous sense, but still at the symbolic or relational level, the influence diagram can be defined as an acyclic directed graph consisting of N variables represented by As an example, consider the arc reversal between nodes x and z in the influence diagrams in Figures 5a and 5b. lack of an arc between the state variables in Figure 2 graphically illustrates their probabilistic independence at the functional level. The influence diagram in Figure 7b represents an arc reversal between S and I/O. work_m3aeltcz3rgqhipsknajgheqm4 From data mining to knowledge mining: Application to intelligent agents mining techniques provide also many interesting induction rules. induction rules in order to extract some new strong patterns called meta-rules. concept by proposing a new support for induction rules clustering and classification. invokes k-means and k-nn algorithms to mine induction rules using new designed similarity measures extend data mining techniques to induction rules in order to clustering, classification, association rules mining, regression, prediction,. ten of data mining algorithms (Wu et al., 2008). extended to induction rules by introducing new version of similarity measure and gravity center computation. the suggested algorithms are described and followed by the definition of a new architecture for intelligent agent. Clustering data technique Many works are about mining association rules in order to new algorithm to group rules via hierarchical clustering has been In their paper, they have developed a new similarity measure between two rules and extended k-means algorithm to work_m4gttcplwneqteedgvssjo6oy4 An expert system for detecting automobile insurance fraud using social network analysis An expert system for detecting automobile insurance fraud using social The article proposes an expert system for detection, and subsequent investigation, of groups of Opposed to many other approaches, the system uses networks for representation of data. We propose a novel expert system approach for detection and subsequent investigation We pursue the hypothesis that automobile insurance fraud can be detected with such a system and automobile insurance fraud with networks; (2) a benchmarking knowledge); (3) an algorithm for assessment of entities in a relational domain, demanding no labeled data set (IAA algorithm); and (4) a framework for detection of groups of fraudsters with networks (applicable in other relational domains). for detecting automobile insurance fraud. the proposed approaches are inappropriate for detection of (automobile) insurance fraud. used for detecting (automobile) insurance fraud (at least according work_m567gcghv5cdla5fggs3lo4kra Vaccine rejecting parents'' engagement with expert systems that inform [title] Vaccine Rejecting Parents'' Engagement With Expert Systems That Inform companies had a pernicious influence over the systems driving vaccination: research, health perceptions of the expert systems central to vaccination policy and practice in Australia, uncertainties parents face in the decision to vaccinate, since informed medical decisionmaking requires that an individual grasps the condition and clinical context and has evaluated the uncertainty and risk central to health and medical decision-making, trust in expert systems Parents'' experiences with health professionals ("access points" of the vaccination hesitancy; used a qualitative methodology with semi-structured interviews; and explored indepth the underpinning perceptions of vaccinations, healthcare professionals, and social parental influences and experiences with vaccination expert systems. expert systems pertaining to childhood vaccination, their broad distrust of the pharmaceutical pertaining to vaccination, "tainting" systems of research, the motives of health professionals, vaccination research, the motives of health professionals, and the construction of government work_m56ahqpewbavvkcyoocqiqs75m Decision Trees are one of the popular methods that have been used for Data Mining purposes. constructing these decision trees assume no distributional patterns in the data (non-parametric), characteristics of the input data are usually not given much attention. We consider some characteristics of input data and their effect on the learning performance of decision Preliminary results indicate that the performance of decision trees can be improved with minor modifications of input data. and computational performance of Data Mining frameworks incorporating decision trees can be improved by Specifically, we consider the effects of non-linearity, outliers, heteroschedasticity, and multicollinearity in data. We consider the effects of non-linear data on decision trees both Input variables Decision tree size Prediction error (%) Input variables Decision tree size Prediction error (%) Input variables Decision tree size Prediction error (%) Input variables Decision tree size Prediction error (%) Evaluation of input data characteristics for decision trees work_malg4cvzmfb23i2pyh6r3trb5u Hybrid recommendations for mobile commerce based on mobile phone features propose a mobile phone feature (MPF)-based hybrid method to resolve the sparsity issue of the typical CF We use the features of mobile phones to identify users'' characteristics and then preference-based method that uses association rule mining to extract recommendation rules from user groups Keywords: mobile web, one-to-one marketing, product recommendation, collaborative filtering, The MPF-based method uses the features of users'' mobile phones as user profiles to preference-based method to improve recommendation quality by considering both MPF describe the proposed MPF-based, preferencebased and hybrid recommendation methods. recommend mobile phones based on the users'' similar MPF or product preferences, the association rules and the most frequent items in each Mobile phone and product preference cluster identification Based on the results derived Figure 6: Effect of the hybrid method on the recommendation quality for mobile phone clusters. work_mcnxmtrdrrgu5kghkduzzfdf54 Abstract: Hotspot detection aims at identifying sub-groups in the observations that are unexpected, with respect to some baseline information. For instance, in disease surveillance, the purpose is to detect sub-regions in spatiotemporal space, where the count of reported diseases (e.g. cancer) elements in the principal spatial and the temporal singular vectors, the location of hotspots in the spatiotemporal space can be approximated. The experimental evaluation, both on simulated and real data sets, reveals the effectiveness of the proposed method. of the reported diseases in a range of postal codes, throughout different years as the cases data set. clustering method for hotspot detection, which is widely Spatial scan statistics (Kulldorff, 1997) requires computation time of O(N3) cost practically has restricted their use in real-time applications or large-scale data sets. and time related to tc1 from both baseline and cases data sets, We then apply STScan and EigenSpot on all data sets work_mdbxzh27xbgwveaawrkit36ry4 addition, this paper proposes the best reasoning technique for diabetic expert systems. Keywords: Diabetes;Rule based reasoning;case based reasoning; fuzzy reasoning; ontological reasoning; medical expert systems; 2.4 Ontological Case Base reasoning Methodology for Diabetes Management Domain knowledge ontology supports the implementation of intelligent Case Based Reasoning (CBR) systems. N. Nnamoko et.al (2013) [14] proposed a fuzzy expert system framework that combines case-based and rulebased reasoning effectively to produce a usable tool for Type 2 Diabetes Mellitus (T2DM) management, to produce Tables 1, 2 , 3 and 4 show the results of our analysis of the expert systems in diabetes domain, based on the type of • The reasoning based of the system, it is either rule or case or fuzzy or ontology. Table 1: Rule based expert systems for diabetes Table 2: Case based reasoning expert systems for diabetes Table 4: Ontology case based reasoning expert systems for diabetes work_mely4t5o2vcybjs6l7fhhfyyb4 Creative Commons public licenses provide a standard set of terms and conditions that creators and other rights holders may use to share original works of authorship and other material subject to copyright Considerations for licensors: Our public licenses are intended for use by those authorized to give permission to use the licensed material under specified terms and conditions. Copyright and Similar Rights that applies to Your use of the Licensed Material. f. Licensed Rights means the rights granted to You subject to the terms and conditions of this Public g. Licensor means the individual(s) or entity(ies) granting rights under this Public License. 1. Subject to the terms and conditions of this Public License, the Licensor hereby grants You a a. This Public License applies for the term of the Copyright and Similar Rights licensed here. b. Where Your right to use the Licensed Material has terminated under Section 6(a), it reinstates: work_meumwudbhvaj5p2sxziaief7iq Estimation Medicine for Diseases System to Support Medical Diagnosis by Expert System Selection of Estimation Medicine for Diseases (EMD) System is best medicine is proposed for the patient and the doctor. in determining medicine by disease or conditions(symptoms) medicine for each patient''s disease. Block Diagram Estimation Medicine for each Patient''s Disease diseases along with medicine dataset for medical data. for each patient''s disease for conditions by some rules basing on A heart disease diagnosis and selected medicine by (EMD) for Diseases (EMD) that offers selecting the best medicine for a of disease for each patient along with the selected medicine. that medicine, symptoms and medical history for a patient. accuracy of selecting the medicine to heart diseases is Algorithm: Estimation Medicine for Diseases (EMD) Algorithm: Estimation Medicine for Diseases (EMD) Algorithm: Estimation Medicine for Diseases (EMD) Algorithm: Estimation Medicine for Diseases (EMD) V. Medical Dataset (Diseases, Medicine) V. Medical Dataset (Diseases, Medicine) work_mgmhrb4wzjephif7zdvx6xha3m Carnegie Mellon University research repository Browse Browse Discover research from Carnegie Mellon University Follow AllCategoriesgroupsSEARCH Hide footerAboutHow to DepositPreparing DataDMP ToolDeposit SupportContactDeposit AgreementTermsPrivacyToolsFAQsDisclaimerSitemap figshare. credit for all your research. work_mgqmivrbtnge3fttkeec5zdg24 https://www.research.ed.ac.uk/portal/en/publications/evolutionary-finetuning-of-automated-semantic-annotation-systems(a441cfe2-919d-49a2-8037-47256495b81e).html Tuning Architecture (PTA) for automating the task of configuring parameter values of semantic annotation tools. PTA enables effective configuration of parameter values of many semantic annotation tools. semantic annotation, automated configuration, genetic algorithm, parameter learning Tools and services for automated semantic annotation of text are offered by a constantly increasing PTA uses the gold standard as an evaluation/testing set to tailor the annotator''s parameters to the kind configuration parameters of semantic text annotators has not yet been reported in the literature. semantic annotators, and then proceed to introduce our Parameter Tuning Architecture (PTA) and a PTA''s fitness function scores the annotator''s output against a testing set configuration of semantic annotators have caveats when relying on testing sets. Table 4 lists all semantic annotators we considered for PTA evaluation. List of tested and considered semantic annotators for PTA evaluation. Although work on finding optimal parameter values for semantic annotation tools is novel, it is work_mgyp4v6pkbfj7hwkkuu5qbafai multi-agent systems and ontology technology, in order to create a VO with semantically enriched Web services. Intelligent agents represent: (1) users to submit requests (2) perform semantic matching in between users'' requests and Web services registered within agent JADE agent platform to demonstrate how the proposed framework operates and how it benefits the research regarding to auroral Keywords: Multi-agent systems; Ontology; Web services; Virtual observatory based on multi-agent systems and ontology technology to services may provide the data and function services to handle with basic geo-tasks, in the meanwhile, user and software agent should be able to discover, invoke, compose information with the assistance of ontology and multiagent systems via dynamically discover and invoke semantically enriched Web services. research projects, the proposed framework develop ontology which includes standardized, community-accepted Recently, there are plenty of literatures (Bailin & Truszkowski, 2001; Bravo, Perez, Sosa, Montes, & Reyes, work_midcwaprtbgflduuek4gea36su Within the context of the problem at hand, the model is trained to select those pixels of a given image that Keywords: Staff-line removal, Optical Music Recognition, Auto-encoders, The staff-line removal stage is usually performed after the binarization of the document in the OMR workflow (Rebelo & Cardoso, 2013). task considers a binary image as input; that is, a binarization process is assumed170 (b) Proposed approach for isolating musical symbols in score images of providing the SAE with examples of images and their corresponding groundtruth, that is, binary maps over the pixels that belong to musical symbols (see220 Once the SAE has been properly trained, removing staff lines from the image on Music Scores (Fornés et al., 2013) staff-line removal contest by making use Figure 7: Example of a staff-line removal using the proposed SAE configuration for both This work has studied the removal of staff lines from musical scores by work_minrsa6e45eqtd5mwmrhjxf2hq propose a solution based on the use o f logic and meta-level first complaint about shells concerning the expressiveness of the knowledge representation language is related Socrates uses a ''logical language'' as the main formalism knowledge base in order to store and retrieve logical a knowledge-based system, where the logical language As the first part o f the declaration o f the logical representation language, the knowledge engineer has to declare Th e knowledge engineer declares the sorts o f the logic object-level interpreter handling the logical representation language and the c o r r e s p o n d i n g p r o o f theory. Figure 3 shows an example o f a control regime formulated in the procedural meta-level language. language''of a system: although the knowledge representation and inference process o f Socrates are both logic • The inference rules for the logical language: the set work_ml2dtmgkd5fgjimjvj4xtxtzqa In this paper, we go toward the automation of rock-quality assessment in different image resolutions by proposing the first data-driven technique applied to granite tiles classification. eep Convolutional Neural Networks (CNNs) with different archiectures, trained to classify the intrinsic patterns of granite tiles images to train the network, our approach uses lightweight neural networks on small patches of granite images, taking into account the majority voting of patches classification for the images Experiments comparing our approach against some hand-crafted descriptors and pre-trained networks show the effectiveness of the proposed technique. Pipeline of the proposed approach based on Convolutional Neural Networks for granite classification. Validation error results after 18 training epochs of the proposed (a) MNIST1 (b) MNIST2 and (c) MNIST3 CNNs for granite images classification. Convolutional Neural Network approaches to granite tiles classification Convolutional Neural Network approaches to granite tiles classification Convolutional Neural Network approaches to granite tiles classification work_mlu43b75bnbodkglnzba6yrhuq performance goals in the form of illuminance and daylighting-specific glare metrics. Figure 3: Functions for goal-based performance metrics for illuminance and glare The interface indicates the current performance of the design based on the goalbased illuminance and glare metrics and displays the design changes suggested by the During the expert system process, the goal-based illuminance and glare performance of performance of the current design based on the user''s goals and preferences. performance goal considered is a wide illuminance range (described further as case study #1). Figure 9 Comparison of best performing final designs from the expert system and microGA for case studies #1 through #4 Figure 13 Case study #5 Conflicting illuminance and glare goals: Performance for the expert Figure 13 Case study #5 Conflicting illuminance and glare goals: Comparison of designs for In these case studies, the performances of designs using the expert system were work_mm2jw6n2xzfxbi23fnvwvpvelq sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. 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Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_modzlbani5cnjeb3dhb4uw2ij4 Expert Systems of Multivariable Predictive Control of Oil and Gas Facilities Reliability The authors conducted a set of studies concerning the development of methodological support of multivariate predictive control reliability factors, compatible with the modern production technological maintenance system, the system of dispatcher data software is designed to meet the technological features of the specific facilities, with applying the theory of process analysis, The developed models of reliability factors provide the possibility of predicting the parameters of technical facilities in a real time mode or for a fixed period, the structural and factor analysis Monitoring technologies of MРC (multivariable predictive control) meet modern economical, production, and safety requirements based on the special continuous control of quantitative and running values of various factors: The subject of the study is the technology of reliability prognostic control, which requires the development of prediction methods for the decision support and reliability factors monitoring system, operating on a real-time basis work_mp2xxbjyqbgjddrwfxas6epqkq So-called "legal expert systems" that fail to handle the problems of interpretation is that to use mathematical logic in the domain of social and legal affairs requires justification of 3. Propositional Logic as a Basis for Legal Expert Systems To illustrate the semantic problems that arise in constructing legal expert systems, we shall examine rule-based systems built upon classical logics as their theoretical Using Propositional Logic knowledge of the law can be stored in the form of rules The semantics of predicate logic uses the idea of a truth function, as does To illustrate the semantics of expert systems based on predicate logic, a fragment of 7. Semantic Problems Arising in Expert Systems Based on Predicate Logic Analysis of a legal text and its expression for manipulation in predicate logic does of individual words or expressions that function as the semantic units in natural Logic of Time in Law and Legal Expert Systems. work_mpmu7qcvmbgg3mkqpinkvrs7km The (Liv&PanFES) is a rule based fuzzy expert system, results of laboratory Part of the developed (Liv&PanFES) fuzzy knowledge base rules are shown Figure(6): Calculation of the value OutFES represents the diagnosis of a patient affected by OST&HYPOGL depending on the Figure(9): Calculation of the value OutFES represents the diagnosis of a patient affected by HEP&HYPERGL depending on the Figure(11): Calculation of the value OutFES represents the diagnosis of a patient affected by OST&HYPERGL depending on the Figure(12): Calculation of the value OutFES represents the diagnosis of a patient affected by MYI&HYPERGL depending on the Figure(13): Calculation of the value OutFES represents the diagnosis of a patient affected by JAU&HYPOGL depending on the Design a Fuzzy Expert System for Liver and Pancreas Diseases Diagnosis Design a Fuzzy Expert System for Liver and Pancreas Diseases Diagnosis Design a Fuzzy Expert System for Liver and Pancreas Diseases Diagnosis work_mqycojfotfaktdybajm2kyww34 Abstract--In this article, an Expert S y s t e m f o r Homeopathic Glaucoma Treatment ( S E H O ) is presented, the task o f which is to assist ophthalmologists in selecting the most appropriate therapy f o r a (Centre of Technology Transfer in Knowledge Engineering) and is able to assign homeopathic treatment homeopath in inference tasks and, finding the medicines most suited to each patient, would come up with expert, the Chairman of the Association of Homeopaths of Madrid, leads to scaled dilutions, that is, to stage, medicine determination, covers all of the patient''s symptoms, both those related with specific knowledge on glaucoma, and five data bases, containing medicines and symptoms, categories and field. p o r a t e d i n t o SEHO, it is p l a n n e d to ex t en d the medicine an d expert knowledge data bases. work_mrdnczzbxzf43moxvih3bdskei Expert System of Fault Diagnosis for Gear Box in Wind Turbine Expert System of Fault Diagnosis for Gear Box in Wind expert system based on fault tree analysis is developed in this paper. Keywords: expert system, fault diagnosis, industrial engineering, gear box, wind turbine; Tang presents a wind turbine fault diagnosis method based on the Morlet wavelet transformation and This paper applies the fault diagnosis system on wind turbine gear box, in order to make timely, The gear box of wind turbine has less hierarchical structure, so fault tree is used to analyze Fault Tree of Gear Box in Wind Turbine Fault Tree of Gear Box in Wind Turbine Fig.2 Wind turbine gear box fault tree diagram gearbox in wind turbine based on fault tree analysis. instance about wind turbine gear box, the expert system based on fault tree analysis will play a better role in the fault diagnosis of wind turbine gear box. work_mruwvk4m2rafjnvrt6lc63k3fq Recent advances in computer vision technologies have made possible the development of intelligent monitoring systems for video surveillance and ambientassisted living. Keywords: visual privacy protection, video surveillance, ambient-assisted context of images and videos, we refer to it as visual privacy protection. Image and video modification or redaction methods are the most common visual privacy protection methods. privacy protected images have to retain useful information needed by applications built upon this information, such as telecare monitoring systems or video Image and video encryption methods encode imagery data in such a way that Stealth Vision (Kitahara et al., 2004) is an anonymous video capturing system that protects the privacy of objects by pixelating or blurring their appearance. visual privacy protection techniques widely used in video surveillance systems. Protecting and managing privacy information in video surveillance systems. Privacy protecting visual processing for secure video surveillance. work_ms2ruztupvforj5fnbvzf7tofy grading rules which conform to the American Softwood Lumber "Western Lumber Grading Rules 88" published by the Western "Western Lumber Grading Rules 88" published by the Western development of lumber grading programs has also increased. grading program as part of an automated lumber process 1. In knowledge-based systems, lumber data and grading grades of the two faces based on a combination of defect lumber and make their decision according to grading rules given in Western Lumber Grading Rules 88 (1988): Grading rules applied to softwood lumber for domestic the WWPA as described in the Western Lumber Grading Rules it considers only grading rules for Select/Finish, Boards, THEN firm knots at edge satisfy grade CONSTRUCTION of All grading rules in the knowledge base have a similar enter lumber size, select grade category and subcategories, and specify the face where defects are located grading system with lumber size and defect characteristics work_msj4tbct5vgrlkb42f3o5lgeva acoustic, image, and video analysis, for information on news story title, newsman and scene identification. or image detection techniques, each news stories can be segmented with a better accuracy of 95.92%. � 2007 Published by Elsevier Ltd. Keywords: TV-news archives; Multimedia; Information mining; Multimodal query; Video OCR semantic labels from the recording TV-news video are presented. story based units, and extracts news title and keywords based shots for news unit generation and key-frame extraction (Lee, Yoo, & Jang, 2006; Patel & Sethi, 1997). In addition, the extracted characters by video OCR from each news units can also be used but also used to picking label candidates, including locations, people names, event words, quoted phrases, and tabular data, up for scene phase processing. information of these labels and keywords in news programs, cross relationship between TV commercials, realtime ratings, and news stories can be observed and TV-news program video recording into scene clips, (2) using work_mvrzshdomjex5cflk6oubgvvvy Production rules .are a popular representation for encoding heuristic knowledge in programs for scientific and medical problem solving. causing the meningitis." At the third level are the rules that support each hypothesis (this Is Figure 6 shows how this diagnostic heuristic is justified and Incorporated in a problemsolving approach by relating It to strategic, structural, and support knowledge. Thus, organizations of problem features and diagnoses provide two ways of Indexing rule rules that support those hypotheses; or one can use a strategy that brings certain problem The causality can go in either direction In MYCIN rules: "symptom caused by disease" about rule problem features, we note that the relations among diagnostic hypotheses are were Incorporated In completely new reasoning steps, for example, If the rule set related However, MYCIN does have a problem solving strategy above the level of rule How might we represent domain-independent strategic knowledge In a rule-based work_n25ntqmt35gq5ho2os4zbwvify Semi-Supervised Growing Self Organizing Map (SSGSOM) is one of the best methods for online classification with partial labeled data. Furthermore, an adaptive method is proposed to adjust activation degree optimally to improve the performance of SSGSOM. The use of labeled data for learning together with clusering methods is called semi-supervised learning. They proposed a semi-supervised method based on a granular neural network to deal with data streams. Hsu and Halgamuge (2008) improved Fritzke method and preented a semi supervised algorithm based on GSOM. In our previous work, we proposed an online constraint semiupervised learning based on GSOM ( Allahyar, Yazdi, & Harati, • An adaptive online semi-supervised GSOM algorithm is proposed. Since the number of labeled data may be few, optimal operation of semi-supervised algorithms is very important. method proposed by Hsu is semi-supervised and online, it faces A semi-supervised extreme learning machine method based on co-training . work_n2nvxlrrxzgkxn4tlkfxom5ao4 Fault diagnosis and assessment is a crucial and difficult problem for power system. neural network expert system (BPES) is an often used method in fault diagnosis. layer numbers increasing, BPES becomes time consuming and even hard to converge. propose a novel Multi-BP expert system (MBPES) based method for power system fault diagnosis. use two real power system data sets to test the effectiveness of MBPES. However, the training time of BPNN will grow exponentially with the layer number increasing. BPNN with different number layers according to a XOR problem. two real power system data sets, namely that the transformer In BPES networks, each rule creates a 3-layer sub-network. A sub-digraph of MBPES for high voltage breaker fault data. Research of power transformer fault diagnosis Research of power transformer fault diagnosis Multi-BP expert system for fault diagnosis of power system Multi-BP expert system for fault diagnosis of power system work_n743hftqorg4nglq67wrje4dre acknowledge the role of a knowledge extensionist in the ICT-based knowledge transfer process. analyse expert systems application cases, identify the roles of knowledge extensionists and report their knowledge transfer process, this paper focuses on examining the key actors involved in the expert systems The expert system based knowledge transfer process was examined with the empirical evidences collected from In this study, people refers to human expert, knowledge engineer, extensionist and farmers; tools refers to knowledge transfer in expert systems applications. The analysis of the expert systems applications shows that an extensionist is needed to facilitate the knowledge importance of the extensionist in facilitating knowledge transfer in expert systems applications. localisation tasks either by involving knowledge engineers or local agricultural experts before the final systems Expert systems provide an opportunity for developing countries to transfer agricultural knowledge to rural projects, the research develops an expert system based knowledge transfer framework. work_n7qhzgftafabvhusi7cxovfv6y interferogram processing and peak-selection subroutine (PUSHSUB), the automated knowledgeacquisition subroutine ( AUTOGEN ) , the system optimization subroutine (STO) , the interpretation subroutine (PAIRS), and fii processing subroutine to subtract spectral similarity Each rule peak is assigned a "goodness value" that indicates reads the peak tables of all spectra in the training set and creates an array value for each window, peak, and compound in the training set. intensity of 99, of all other peaks in the spectra of the compounds in the training set, is 177,335, and 502 for the three windows surrounding the 674 cm-'' other peaks in the spectra of other compounds in the training set, but those values for each rule peak in each training set. In the IntIRpret program, peaks in the library spectra are picked by PUSHSUB, the goodness values are weighted by STO, and the three-level rules are work_nacpmdwfr5a47ldi3g65kmssgu Keywords: Petri-Net; expert system; knowledge representation; rules; decision tree; decision table; knowledge map; process map. Knowledge-based information systems are complex artefacts that are expensive to build and difficult to validate, The decision trees are widely used for building knowledge-based systems by the inductive inference huge popularity, decision trees, decision tables, knowledge and process maps are static and cannot model the Petri Nets (PNs) are well-suited for the design, specification and formal verification of complex information dynamic graphical tool in the development and validation of expert systems (Mehrez et al., 1995; Wong, useful in developing and validating expert systems that 3. Expert Systems Modelling with PNs Knowledge-Based Expert System Development and Validation with Petri Nets 45 Knowledge-Based Expert System Development and Validation with Petri Nets 45 Knowledge-Based Expert System Development and Validation with Petri Nets 45 Knowledge-Based Expert System Development and Validation with Petri Nets 45 work_ncrbjlito5eftbiht5vr5svawq the development of expert diagnosis systems based on a paradigm of "cooperating diagnostic specialists." to messages from other specialists; knowledge groups, which determine how data relate to features of our approach the knowledge structure for a given task and domain is composed of specialists, knowledge the specialist determines a confidence value representing the amount of belief in the CSRL is a language for representing the specialists of a diagnostic hierarchy and the Knowledge groups determine how selected data relate to various features or intermediate hypotheses that are related to the specialist. In CSRL a diagnostic expert system is implemented by individually defining each specialist. and the knowledge group values of a specialist. As an example, Fig. 5 is the relevant knowledge group of the BadFuel specialist mentioned relationship between rules so that they correspond to knowledge groups and specialists. appropriate abstractions: knowledge groups, message procedures, and specialists. work_nepu4n3jovbb5mrn3zv7tcstja new challenges on data and process information management in current systems. This paper presents DEPCAS, a new middleware for RFID information based on the SCADA which solves the WHAT or context–aware to apply the auto identification data received from RFID systems propose a general middleware architecture that processes and consolidates RFID information solving the paper proposes a new middleware architecture for RFID called DEPCAS (Data EPC1 Acquisition System), 2. The need to process and interface RFID data from origin (tag reads) in heterogeneous deployments (c) DETEGO/You-R OPEN3 is the RFID middleware from RF-iT Solutions based on three main functions: business integration, data management and device management. 6. Consolidating information: the SCADA and RFID middleware process data is defined to obtain significant information not only real time alarms or events. Current RFID middleware systems capture raw readings from readers, filter and aggregate the data, and work_nfibvkgxobfxfk4btcxuz6hr3u facies models have been proposed, most of which are not readily usable with the data generally available in subsurface work. frontier exploration areas, the need for geochemical data during drilling operations, rather than months after a well is finished, is now well appreciated. Wellsite geochemistry mandates unique operational, technical, and data interpretation requirements. nature of data availability during drilling operations as well as Complex Subsurface Analysis Using Interactive Modeling and on the dipmeter log in conjunction with other types of data Traditionally, interpretation of dipmeter data has intelligence and expert system techniques to dipmeter log interThe Dipmeter Advisor system has a highly interactive graphics user interface. the rules of dipmeter interpretation and of pattern recognition interactive control for manual interpretation of data hold the geological interpretation of dipmeter data. Computer contour systems are intended to aid in the interpretation of geologic data as well as to prepare drafted quality work_ngt5vnd2krhozmk545tn6pzlqa IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Frequent generalized itemset mining is a data mining technique utilized to discover a high-level view of interesting knowledge hidden in the analyzed data. Misleading Generalized Itemset discovery / Cagliero L.;Cerquitelli T.;Garza P.; Grimaudo L.. Titolo: Misleading Generalized Itemset discovery i dati relativi al numero di citazioni sono recuperati in tempo reale dai servizi offerti da Scival di Elsevier, Pubmed-central e da WOS. i dati relativi ai percentili sono recuperati in tempo reale dai servizi offerti da Scival di Elsevier e da WOS. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. work_nhd4rutu5rb53mugyx2ssa5egu sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220977252 (wp-p1m-38.ebi.ac.uk) Time: 2021/04/06 03:05:18 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_nig5aub7bvgs7j6n5ekcacnbhu School Contacts to the Web Login instructions You are connecting to a School of Informatics website which requires authentication. enter your username (either DICE username, or iFriend account name) and password to continue. If are a member of staff, or a student, contact Support for details of how to access your DICE account Other users may obtain an iFriend guest account Users with iFriend guest accounts may reset their password. All other users should contact Support Need an account or password help? The School of Informatics uses the cosign single sign-on web authentication system. If you choose not to accept these you will not be able to view our authenticated web pages. If you do not wish to accept these cookies, do not complete the login process. By using this service you agree to adhere to the University of Edinburgh Computing Regulations. The University of Edinburgh work_nj5zqb6v3ndx3jkckvkqfndi7q Comparing rankings from using TODIM and a fuzzy expert TODIM is, in its original formulation, an MCDA method developed to solve ranking problems. Although modelling multicriteria decision problems with Fuzzy Sets has been utilized when the available data are imprecise, their use in MCDA is research strategy, our aim is to prove that for the ranking problems, TODIM can provide better solutions than Fuzzy Sets. Keywords: Fuzzy Expert Systems; Ranking Problem; TODIM Multi-Criteria Interactive Decision-Making (shorted as TODIM, from Portuguese) is an MCDA method [13] TODIM application requires numerical values for the evaluation of the alternatives regarding the criteria. Table 9 presents he overall values for the residential properties with TODIM. Overall values for the residential properties with fuzzy expert system Comparing the rank from the fuzzy expert system to the one resulted with TODIM application, both Comparison of fuzzy set ranking methods for implementation in water resources decision-making. work_nj65ubti25eqthx75zbpbtwhnq o f an extended f u z z y relation f o r a block o f rules may be a criterion f o r parallel The purposes o f this article are to introduce extended fuzzy relations (EFR), data will vary with the levels o f the extended fuzzy relations. (Re will b e c o m e (generate) all the data for all the extended fuzzy relations Our intended use o f extended fuzzy relations is to model and evaluate method allows for general input; (2) a high-level EFR is evaluated differently approach is their use o f preexisting fuzzy sets for the right sides o f rules. construct the fuzzy set for the right sides o f a block o f rules. The block o f rules used to build the fuzzy subset o f SIZE are as this may be represented by level one extended fuzzy relations 61x and 61y, work_njzbswnor5hvngpfyf2j222agy system based on least squares support vector machines (LS-SVM) for diagnosis of valvular heart disease Wavelet packet decomposition (WPD) and fast-Fourier transform (FFT) methods are realized to automatically classify Doppler signals using pattern recognition techniques (Chan, Chan, Lam, Lui, & Poon, 1997; Guler & Nevertheless, the effective studies on the Doppler heart sounds are also limited (Turkoglu, Arslan, basic properties of the pattern recognition, the Doppler heart signals, WPD, FFT, wavelet entropy and LS-SVM. implementation stage is described and the effectiveness of the proposed method for the classification of Doppler signals in the diagnosis of VHD is demonstrated. A representative example of the wavelet packet decomposition of the Doppler sound signal of the heart mitral The waveforms of terminal nodes (i = 1–256) of wavelet packet decomposition at eight-level of the DHS signal. In this paper, the application of the wavelet entropy to the feature extraction from DHS signals was shown. work_nlcqi2h725a3vh67xurzf5wy7a We present methods of extractive query-oriented single-document summarization using a deep auto-encoder (AE) to investigate the effect of adding small random noise to local tf as the input representation of AE, and propose an ensemble of In our case, after ranking the sentences of a document based on the cosine similarity, they must be selected to generate algorithms, in particular, Restricted Boltzmann Machine (RBM) and AEs. The word representation is presented in section Table 1: ROUGE-2 recall of subject-oriented summarization for tf-idf, tf and models versus the number of selected sentences. Table 2: ROUGE-2 recall of key-phrase-oriented summarization for tf-idf, tf and models versus the number of selected sentences. Table 4: ROUGE-2 recall of subject-oriented summarization for tf-idf, Ltf and models versus the number of selected sentences. In this paper, we presented a query-based single-document summarization scheme using an unsupervised deep neural network. work_nll7n7rkwfcffow4gne4cohqqu Short Title: Spirometry expert support in general practice This study assessed the impact of computerised spirometry interpretation expert support on Computerised spirometry expert support had no detectable benefit on GPs� diagnostic interpretation of spirometry tests on the diagnostic achievements of GPs, and on GPs� GPs were randomly allocated to the (i) computerised spirometry expert interpretation support GPs in the expert support group received the spirometry test GPs in the control group received the spirometry test results, flow-volume curve, plus interpretative notes (expert support group) or the volume-time curve (control group). support and GP�s number of interpreted spirometry tests per week. GPs in the expert support group ordered slightly more additional diagnostic tests compared Computerised spirometry expert support for the interpretation of spirometry tests by GPs had computerised expert support for spirometry in a randomised simulation study in primary care. effective way to give continuous expert support for the interpretation of spirometry test results work_nmel43xsgvdbnamkhipmhqvbq4 Minimum Cost Consensus Models based on Random Opinions based on China''s urban demolition negotiation, which can better simulate the consensus decisionmaking process and obtain a satisfactory solution for the random optimization consensus models. keeping individual consistency for DMs; later, they developed a consensus reaching process for managing individual and group rationality of hesitant fuzzy linguistic preference relations (Wu and Xu, consensus process, Honert (1998) constructed stochastic group preference models based on AHP multiplicative variant. than a certain confidence level, we construct the cost consensus model based on a random distribution a minimum cost consensus model with random distributed opinions. values, we assume that the opinions of DMs and the moderator obey a certain distribution, and construct the cost consensus model based on random distribution with a probability of budget constraints. • The cost consensus model based on random opinion distribution is not only the generalization work_nn2jkt2gw5cp5bqwgxsf7va2gu An expert system for real-time traffic management in wireless local area networks The paper explores delay-based congestion and flow control and the offloading of real-time traffic from The results demonstrate that the expert system developed is able to regulate packet sizes to match the prevailing application-dependent optimum and transfer traffic to another In this paper, we explore delay-based congestion and flow control and offloading of real-time traffic from wireless local area networks (WLANs) to cellular networks in multihomed mobile Therefore, we developed and applied control systems to adjust transceivers'' packet sizes for prevailing network conditions to achieve cellular) devices operating in WLAN and running real-time applications try to maximize network capacity by packet size optimization. When the performance threshold is reached, connections are asynchronously offloaded to cellular networks.'''' By real-time traffic we a review of the literature on packet size control in WLANs, multihomed path management, and network selection. work_noodcfgro5bcdknzut2al2wpc4 Expert systems and finite element structural analysis a review finite element method), can make the entire system a powerful, efficient and costeRective tool for design, analysis and diagnosis of complex problems . to the role expert systems can play to simplify finite element structural analysis. mainly deal with the rules for adaptive refinement based on analytical error norms (e .g. strain energy norms, stress gradient norms etc .) and heuristic knowledge about the In this paper, the role that expert systems can play in general finite element structural finite element structural analysis) or problem and design of the required finite element mesh based on the knowledge of the dimension for an expert system for finite element structural analysis . In the present context of expert systems for finite element structural analysis such 4. A case study an expert system for finite element analysis of structural problems work_noservp5vng3li2jtosvm6x3ja numerous attempts to develop classifications of medical errors, and currently an abundance of taxonomy of Medical Errors was designed by expanding the IOM classification. continued concern about the effective identification and classification of human medical errors. There have been numerous attempts to develop classifications of medical errors, and currently an abundance of taxonomies exist to describe the mechanism behind the types of medical errors. The following etiology of categories of medication errors was given by the American Hospital [2] developed a classification of medical errors. understand." Based on our previous research [7], following is the classification of human errors in technologist), and transfusion of blood into the wrong patient (errors by physician/nurse). The identification and classification of errors in medical care delivery is a very complex process, and The identification and classification of errors in medical care delivery is a very complex process, and work_npfqwig6gfb2deid2yp77s5kpm Relational table techniques provide additional abstraction capabilities and are useful in extending the expressiveness of production much of the problem domain knowledge in relations in working memory. Three OPS5 rules to categorize persons by height 2. Using Relational Tables in Rule Writing knowledge of the problem domain resides in the rule base. The relational table technique uses working memory as long term memory by encoding much of the problem domain knowledge in relations. one sub-problem is solved, a transition rule fires which results in making organized in a relation in working memory. the relational table technique provides a tool that knowledge engineers can use in another in a relational database can be'' mapped into working memory elements The working memory elements are then used by the rule base. The relational table technique described can be used in almost any expen system. demonstrated that relational tables can improve expert systems in general. work_nqoovjor2rg7nmedtve6uw7bzy Propositional expert systems classify cases, and can be built in several different forms, including case is a Boolean variable with values {true,false}, but other value sets are possible: associated with the variables {xi} will be referred to as case elementary propositions. The case elementary propositions associated with each variable are p1 = {sex = female,sex = male} and p2 = {pregnant = a rule is a conjunction of case or intermediate elementary propositions, or the negations row may contain no elementary proposition from the set associated with a given variable. choice from the sets of elementary propositions associated with a subset of the variables. (which are are case elementary propositions with the same variable and a different value with the decision table equivalent to the path proposition associated with the leaf. the table has no row consistent with that elementary proposition and no case with that work_nrnit4emvfbfhaqenwnkv7lyla Searchy, an agent-based mediator system specialized in data extraction and integration. achieve this, a Genetic Algorithm (GA) is used to learn a regex able to extract a set of positive samples while rejects a set of negative Multiagent System (MAS) to generate a composed regular expression able to extract records that match with a training set, able to evolve a simple regex thought a VLGA with an alphabet automatically generated and extract records matching the a complex wrapper able to extract data by means of evolutionary regular expressions. The Control Module sets the flow of operations that the different elements involved in the integration must perform, including the wrappers, the Mapping Module, and the Integration Module. most useful wrappers supported by Searchy is the regex wrapper, which is able to extract data from unstructured documents. Figure 2: Example of the integration process in Searchy, with two data sources, one relational database and a directory. work_nvdskcxcwfebbhpl6q2kliwoai (geometric) features, we explore the possibilities of local image descriptors, since they are a simple approachthey require no explicit The results indicate that the approach is encouraging, and that both the sparse keypoint detectors and the dense regular sampling Key words: White blood cells recognition, local image descriptors, SIFT, interest point detectors, visual vocabulary that segmentation itself is a non-trivial problem, and it is generally hard to produce robust and reliable segmentations, being a critical preliminary step for subsequent feature computations (Bikhet, Darwish, Tolba & Shaheen, 2000; Sarrafzadeh, An interesting alternative are local image descriptors computed at interest points, and the use of a pooling strategy for "detection" approaches, a common local descriptor, the wellknown Scale Invariant Feature Transform (SIFT) (Lowe, 2004), Figure 1: Keypoints detected with different detectors on example images of different white blood cell types Yang, Betteridge, Carlson, Mishra, Gardner, Kisiel, Krishnamurthy, Lao, Mazaitis, Mohamed, Nakashole, Platanios, Ritter, work_nwb7pklhefdaxln3iskkriitom [PDF] Modeling and identification of microbial batch fermentation using fuzzy expert system | Semantic Scholar Corpus ID: 16416262Modeling and identification of microbial batch fermentation using fuzzy expert system title={Modeling and identification of microbial batch fermentation using fuzzy expert system}, author={Jinggui Gao and L. Wang, +1 author Z. Figures and Tables from this paper Sort by Most Influenced Papers Modeling and identification of hybrid dynamic system in microbial continuous fermentation View 1 excerpt, cites methods Álvarez, Héctor Antonio Botero Castro View 3 excerpts, cites background Modeling and parameter identification of microbial bioconversion in fed-batch cultures View 1 excerpt, references methods Complex metabolic network of glycerol fermentation by Klebsiella pneumoniae and its system identification via biological robustness View 5 excerpts, references background and methods Mathematical modeling of kinetics and research on multiplicity of glycerol bioconversion to 1,3-propanediol View 1 excerpt, references background View 1 excerpt, references background View 1 excerpt, references background work_nx3k3cao7zhb3jn6vvxohbfx6m As a result, many e-companies are eager to embed Web-enabled, rule-based systems, i.e. that is, Web-enabled expert system that uses a hyperlink-based inference mechanism. q 2004 Published by Elsevier Ltd. Keywords: Expert Systems; HTML; Inference; JavaScript; Rule; WWW This Web-enabled, rule-based inference technology is applied to various areas of application such as product Categories of Web-enabled, rule-based systems proposed rule transformation algorithm and HTML-based hyperlinked HTML document for rule inference and then the inference engine of a Web-enabled, rule-based system. since the Web server contains a rule-based system as a submodule, it is easily expected that this approach will cause Web-enabled, rule-based systems that can be developed by rules into a set of functionally equivalent hyperlinked HTML systems in Web-enabled, rule-based inference tasks. Equivalent hyperlinked HTML document Set (FES) denoted hyperlinked HTML documents, transforms the rule base Web enabled expert systems using hyperlink-based inference Web enabled expert systems using hyperlink-based inference work_nxdy636kujcvvj3ogvkz3iw7ca vector regression (SVR) owns the powerful capability to characterize problems via small sample, nonlinearity, high dimension and local minima. We found that the ν-SVR model optimized by genetic algorithms could be a Key words: Support vector regression, genetic algorithm, logistic model, prediction of biomass. studied optimal ν in SVR for different noise models using Parameters determination of the ν-SVR model SVR parameter settings, such as genetic algorithm (GA) find the optimal values of ν-SVR parameters. Where, ip denotes the predicted value in SVR model, optimal parameter of ν-SVR, the predicting model for the value modeling by GA-ν-SVR is shown in Figure 4. Performance comparison of SVR and logistic model GA-ν-SVR model was better than that of the logistic Comparison of the predicted results from GA-ν-SVR and logistic models. Measured and estimated cell concentration by logistic model (○-measured value ▲predicted value by the ν-SVR model. in support vector regression for different noise models and parameter work_nxwzu7fskrg2vol2ztglvz5hpq importance of mathematical multi-attribute methods, implemented in expert systems, in the KEY WORDS: business decision making; negotiation preparing process; expert suitable mathematical tools are multi-criteria methods. methods, the results were nearly the same, so the decision-maker could select the most 2. MATHEMATICAL MULTI-CRITERIA METHODS USED IN PREPARING Commonly, the results of a criterion in the case of a decision process appears Decision models with an assemblage of criterions, called also multi-criteria For some multi-attribute decision problems, in which the matrix of consequences weight, the diameter method, the TOPSIS method) for selecting, in the stage of prenegotiation, of the best offer and for organizing the negotiation processes thereafter. Results calculated by the Expert System with the simple additive weight method Results calculated by the Expert System with the diameter method Results calculated by the Expert System with the TOPSIS method 2. MATHEMATICAL MULTI-CRITERIA METHODS USED IN PREPARING THE NEGOTIATION PROCESS work_o226xx3labcrbpre5mmuxnyeuu capacitated general routing problem with turn penalties. Keywords: Vehicle routing, capacitated general routing problem, turn penalties, So far research on extended vehicle routing models with turn penalties and forbidden et al (2001), Corberán et al (2002) and Soler et al (2008), that generalize several wellknown single vehicle routing problems to the existence of turn penalties. General Routing Problem (MGRP) with turn penalties, that includes all the cases is an arc routing problem, in which a fleet of vehicles (with a known capacity) is based solving capacitated routing problems with turn penalties, through suggesting a new in polynomial time into a Generalized Vehicle Routing Problem (GVRP). The Mixed Capacitated General Routing Problem with Turn Penalties There is no arc between vertices belonging to the same Si. Given an MCGRPTP in G, we define a GVRP in G∗ where the vertex set V ∗ is work_o22yfbkr7bgoxaqh7pzz2assqa Regional Appraisal of Hydrocarbon Potential of Trans-Pecos Texas: Methodology and Conclusions: ABSTRACT; Expert Systems in Seismic Exploration: ABSTRACT; Geotectonic Evolution of Bering Sea Area, Alaska: ABSTRACT; Geology and Petroleum Potential of ... In the area of study, estimated reserves strongly suggests that widespread trap-destruction by faulting and erosion led to hydrocarbon leakage and induction of fresh water into prospective zones, which reduced the likelihood of accumulation and The geologic, structural, and tectonic history of the Bering Sea area a submarine fan area, reefs within the oil window, and large structures in an area of thick sediments of probable Cretaceous age. The upper Comanchean Buda Limestone (Cretaceous) is a known reservoir for hydrocarbons in central Texas, producing from depths as shallow as 700 ft. The upper Buda is more porous and contains most of the producible hydrocarbons in the formation. zones of faulting and fracturing along areas where the upper Buda was work_o3c5ngi7nrherncep3tg7nhv4u This paper presents the development of XKey, a tool for generating taxonomical identification keys by means of decision tree construction. The tool is based on an XML standard for the representation of general taxonomical information, which makes it ideal for different fields of Keywords: Dichotomous keys; Decision trees; XML; Division criteria; Interactivity general, experts design their keys manually, without the use of presents XKey, a tool for generating identification keys, and information gain obtained in order to avoid the construction of decision trees which classify the cases using their generation of decision trees without the user''s intervention and uses the branching criterion selected in the keys, XKey can generate sets of rules which can be used 5. In addition to generating identification keys, Xkey also Key for the genus Pinus generated according to the expert''s criterion XKey: A tool for the generation of identification keys XKey: A tool for the generation of identification keys work_o4xy7zmaafdrvgjqdwbncbbxg4 Tajweed: An Expert System for Holy Qur''an Recitation Proficiency Tajweed: An Expert System for Holy Qur''an Recitation Proficiency Expert systems found many applications in many fields, like science, business, Tajweed of the Holy Qur''an is the knowledge and application of the rules of recitation so the reading of the The rules of tajweed are classified as follows: Noon saakinah and Tanween Rules c. Izhaar Shafawi: Clear Meem Saakinah with a complete contact of the two lips when it is followed by any letter The complete model for the Qur''an tajweed rules are shown in fig. Figure (1): A model for Tajweed rules The expert system consists of four components and the process of development as shown in Figure 2. An expert system was developed for proper recitation of holy Qur''an which is called Tajweed rules. universities the holy Qur''an Tajweed rules. [7] Tajweed rules of the QUR''AN, Mohamed A. [8] http://d1.islamhouse.com/data/en/ih_books/single2/en_Tajweed_Rules_of_the_Quran_Part_01.pdf. [8] http://d1.islamhouse.com/data/en/ih_books/single2/en_Tajweed_Rules_of_the_Quran_Part_01.pdf. work_o5akemxz5naoloykghbfuhkji4 A fuzzy rule-based expert system is developed for evaluating intellectual capital. demonstrated by the result of intellectual capital performance evaluation for a sample company. Tai and Chen [3] proposed a feasible enterprise intellectual capital evaluation model by means of 2-tuple fuzzy linguistic approach to assist managers understand the performance of intellectual capital. The proposed fuzzy rule-based expert system evaluates the performance degree of intellectual capital based on the the concept of intellectual capital and fuzzy control rules. So for each intellectual item, we define a fuzzy rule set The knowledge base stores all relevant information, data, rules, cases, and relationships used by the expert In this paper, we have developed a fuzzy rule base expert Figure 3: Fuzzy sets on proportion of staff with a university degree. Table 1: Fuzzy rule set for employee''s knowledge performance Table 2: Fuzzy rule set for employee''s knowledge importance Fuzzy rule set for employee''s knowledge importance degree work_o5pckqbnsfdtndk4vlsk5e43ge Discovering sequential patterns is one of the most important task in data mining. Keywords: Data mining; Association rule; Sequential pattern; Goal-oriented; Retention analysis customers can be generated by sequential patterns. association rules by utilizing the large itemset. The sequential patterns originate the association rules mining sequential patterns are Apriori algorithm (Agrawal sequential pattern: Setting large itemset and establishing sequential pattern rules by large itemset. to generate sequential pattern rule from the large itemset. The customer sequence is ordered by increasing transaction time. original items, we can get our mining sequence pattern large itemset to conclude sequential patterns rules. The customer sequence is a list of transactions ordered by The customer sequence is ordered by decreasing transaction time. efficiency of the Goal-oriented sequential patterns algorithm. by the Goal-oriented sequential patterns focus on the rules After we use Goal-oriented sequential patterns algorithm to process the customer loss analysis, the rule of loss work_o632qjptwnb6pdz5sfk3z3jm6a Adaptive wavelet network for multiple cardiac arrhythmias recognition This paper proposes a method for electrocardiogram (ECG) heartbeat detection and recognition using adaptive wavelet network The ECG beat recognition can be divided into a sequence of stages, starting with feature extraction from QRS complexes, to enhance the features from each heartbeat, and probabilistic neural network (PNN) performs the recognition tasks. Compared with conventional multi-layer neural networks, the test results also show accurate discrimination, fast learning, good Keywords: Electrocardiogram (ECG); Adaptive wavelet network (AWN); Cardiac arrhythmia; Morlet wavelet; Probabilistic neural network (PNN) To develop a diagnostic method for arrhythmia classification, signal analysis based on wavelet transform (WT) Subsequently, the PNN is an adaptive network with automatic tuning parameters and is used to classify cardiac arrhythmias. 212 (Goldberger et al., 2000) containing normal beats, pattern Vs, and pattern Rs, the results show that high accuracies of the proposed algorithm, as shown in Table 2. work_o6apwsmoubhl7pn66lgybiegnu extracted to detect yawning in the driver''s face. The presence of yawning would be indicated by a black blob in the mouth region of the The features extracted for yawning detection are the histogram values taken from the Keywords: Yawning detection; two-fold expert system; mouth region extraction; histogram; containment; vertical projection; non-frontal face images; blob detection The mouth region is detected from the face using a The features of the driver''s face have to be extracted to detect yawning. The presence of yawning would be indicated by a black blob in the mouth region of the binary image. The features extracted for yawning detection are the histogram values taken from the vertical projection The occlusions on the driver''s face may be many, such as mouth covered by hand while yawning; wearing As per the assumptions made in section 3.2, the proposed system detects yawning when the driver''s face is work_o6ast2mhqnhb7phhyj4jf6zvx4 Trend following (TF) is trading philosophy by which buying/selling decisions are made solely according to Unlike financial forecasting, TF does not predict any market movement; instead it identifies a trend at early time of the day, and trades automatically afterwards following is simple – identify a current market trend and trade open and close a position, as signaled from the market trend have TF algorithms however, belong to the latter category, which conduct trading decision solely by reacting to the current market trend. In this section, we extend the trending following algorithms based on Fuzzy logic (Zadeh, 1973). In previous section, we have discussed how the market fluctuation (or volatility) can affect our trading algorithms. trading strategy is recalled by matching the current market trend Trend following algorithms for technical trading in Trend following algorithms in automated derivatives market trading Trend following algorithms in automated derivatives market trading Trend following algorithms in automated derivatives market trading work_o7m65kde35b6je4cjstmqacd7y Soft ontologies, spatial representations and multi-perspective explorability information domains can be more usefully described by means of a soft ontology, a dynamically flexible and far intuitive concept of soft ontology in a way that supports conceptualizing dynamically evolving domains. Further, our approach proposes (2) a whole new mode of interaction with information domains by means of recurring exploration of an information domain from multiple perspectives in search of more comprehensive Keywords: folksonomies, tagging, exploration, multidimensional scaling, soft ontologies, ontospaces, information domains can be more usefully described by means of a soft ontology (SO) (Aviles new mode of interaction with information domains by means of recurring exploration of an Soft ontologies (SOs) are flexible sets of metadata that describe a domain of information by content items with respect to the added ontological dimension and thereby provide additional data, which allow the domain to be work_ocfkwuht7vbinb5hacdo2cw6ky While the rule-based expert system ''value'' portfolios of Australian stocks are shown to The data utilised in this study comprises nominal monthly values for real estate stocks performance of value portfolios comprised of Australian real estate stocks using a similar system value portfolios comprised of Australian real estate stocks, and Table 3 the performance of expert system value portfolios comprised of UK real estate stocks. Table 2: Performance of Australian Expert System Value Portfolios: 1997 2004 Nominal monthly mean returns for each of the expert system value portfolios in Table 2 difference between mean returns to the market portfolios and the expert systems value these, only the effective rate of return value portfolio yields Sharpe and Sortino ratios premium is zero, results for the Costless Hedging expert systems value portfolios in Table 5: Returns from $1Invested in Expert System Value Portfolios: 19972004 work_ocjgoxlbkrhmjj7njm3dfudbte Fuzzy linear regression-based detection of earnings management Fuzzy linear regression-based detection of earnings management model coefficients with ordinary least squares (OLS) is to use fuzzy linear regression (FLR) instead. alternative to the OLS-based Jones model, especially when the length of the estimation time series is is a linear regression model where the level of total accruals is assumed to be explained by property, plant and equipment and the In the original Jones model, the regression coefficients are estimated using a firm specific time series comprising A considerable problem with the Jones model is the requirement of long time series of financial statement data. A considerable problem with the Jones model is the requirement of long time series of financial statement data. 2. Time series-based discretionary accrual estimation models by suggesting a regression approach where the level of total accruals (TACC) is explained by the change in sales (DREV) and property, work_oeutam4z2jd45axuyv63jaknh4 Human action recognition with sparse classification and multiple-view learning Abstract: Employing multiple camera viewpoints in the recognition of human actions increases This paper presents a feature fusion approach to efficiently combine 2D observations extracted Keywords: Human Action Recognition, Multiple View Learning, L1 regularization Experimental evidence has shown that common 2D highdimensional cues employed in human action recognition, This paper presents a multi-camera human action • A feature fusion approach is proposed to combine action Multi-camera approaches to human action recognition feature-out data fusion level to perform human action 3. Feature fusion for human action recognition visual features in the recognition of human actions. non-linear algorithms, mapping the input data x to a highdimensional feature space f(x): a feature fusion method for human action recognition from 2011) 3D human action recognition for multi-view camera recognition from video: modeling, feature selection and classification architecture, in International Workshop on Human Activity feature models for arbitrary view action recognition. work_ogq5r3sr6vb2dkhfp4speay7dq We propose a new dynamic modeling framework for credit risk assessment that extends the prevailing credit scoring models built upon historical data static settings. modeling consists of sequential learning from the new incoming data. Developing and implementing a credit scoring model can be time likely to default in a future fixed period, 1 year for PD models (Thomas, 2010; Thomas, Edelman, & Crook, 2002). sed in supervised learning, and specifically in credit score modeling. In this work we import some of the emerging techniques in conept drift adaptation into credit risk assessment models. nd test a new dynamic framework to model credit risk. This research presents a new modeling framework for credit risk A new dynamic credit scoring model A new dynamic modeling framework for credit risk assessment A new dynamic modeling framework for credit risk assessment A new dynamic modeling framework for credit risk assessment work_oi3geyph7bgajkhssj6zkjgjfa Modular design to support green life-cycle engineering Modular design to support green life-cycle engineering However, frequent variation of product specifications causes the assembly and disassembly of components and modules to become more As a result, the issue of product modular design is a problem worthy of concern. Keywords: Modular design; Green life-cycle engineering; Grouping genetic algorithm; Liaison intensity; Green analysis product life cycle and the passive resource recycling This kind of more aggressive design tendency is referred to as green life-cycle engineering design (Otto & Wood, 2001; Tseng & Chen, 2004). modular design is able to reduce the production cost and different methods had been proposed to explore the function-based modular design issue; for example, Huang and In the assembly-based modular design method, products According to the green life-cycle-based concept, modular design is focused upon the environmental level. green life cycle of product design. work_oi5ldfwr25f2lm4vqqtv6sk5h4 MIFS-ND: A Mutual Information-based Feature Selection Method Besides these, people use feature selection for dimensionality reduction and data minimization for learning, improving predictive accuracy, and increasing The main contribution of this paper is a mutual information-based feature subset selection [26] introduce a mutual information based feature selection method called mRMR (MaxRelevance and Min-Redundancy) that minimizes redundancy among features and maximizes dependency between a feature subset and a class label. [27] propose a mutual information-based feature selection method as a measure of relevance and redundancy among features. The proposed method uses mutual information theory to select a subset of relevant features. In this scenario, the proposed method selects the feature X1, since its feature-class mutual information is higher than X2. Hence, the method selects a feature that has higher feature-class mutual information as shown in The proposed algorithm first selects a subset of relevant features from each dataset. work_oj7jjtk2rnflli5ntvucohg56q لگوریتم ژنتیک غیرخطی جهت باال بردن توان تصمیم هاي الگوریتم ژنتیک خطی و ابحران مالی با استفاده از مدل داراي توانمندي در پیش بینی بحران مالی استمبتنی بر الگوریتم ژنتیک خطی مدل: فرضیه اول الگوریتم ژنتیک غیر خطی داراي توانمندي در پیش بینی بحران مالی استمبتنی بر مدل: دومفرضیه .نشان داده شده است4هاي ورشکسته و غیرورشکسته در مدل الگوریتم ژنتیک خطی در جدول براي شرکت به صورت صحیح % 83هاي موجود در نمونه آموزشی را با دقت کلی مدل الگوریتم ژنتیک خطی توانست شرکت .نشان داده شده است6هاي ورشکسته و غیرورشکسته در مدل الگوریتم ژنتیک غیرخطی در جدول براي شرکت به صورت % 91هاي موجود در نمونه آموزشی را با دقت کلی مدل الگوریتم ژنتیک غیرخطی توانست شرکت Bankruptcy Prediction: Empirical Evidence from Iran", Expert Systems with Applications, 36 (2), p. Bankruptcy Prediction", Expert Systems with Applications, 36(3), p. "A Genetic Algorithm Application in Bankruptcy Prediction work_ojmv2246mrd67dv5xge5au5jxm Cass Knowledge | Cass Business School Cass Business School Student Hub Student Hub Research at Cass Research at Cass Research at Cass Find Cass Knowledge articles Actuarial Science and Insurance Actuarial Science and Insurance Corporate Finance Cass Knowledge offers free access to our world-renowned research output to provide an essential resource for business and the professions. Featured Cass Knowledge ManagementLeadership, Entrepreneurship and Innovation20th January 2021 The Challenge for Business and Management Degree Courses in the 21st Century All Cass Knowledge All Cass Knowledge All Cass Knowledge All Cass Knowledge All Cass Knowledge Actuarial Science and InsuranceInsurance and Pensions30th March 2021 Prediction of claims in export credit finance a comparison of four machine learning techniques This study investigates machine learning techniques for claims… Cass Knowledge Registration If you would like to be kept up to date with news from Cass Knowledge please subscribe to our mailing list. The Business School Connect with Cass Business School work_okkzldu7ozgi5bflm7hthf7sgq keywords cover, in average, 28% of the tweets for a company in our test collection. Keywords: Twitter, online reputation management, name disambiguation, filtering terms extracted from tweets retrieved by querying the company name in Twitter. A positive/negative filter keyword is an expression that, if present in a tweet, indicates a manual selection of positive and negative keywords for all the companies in the WePS-3 Table 1: Differences between oracle and manual positive keywords for some of the company names on the test collection. Table 2: Differences between oracle and manual negative keywords for some of the company names on the test collection. 1. Collection-based features (col * ): Terms that co-occur frequently with the (ambiguous) company name c, or terms written as hashtags should have more probability to be (positive/negative) keywords than others. the set of tweets Tc (8), where fti is the web-based feature value f for the term ti work_om3lmqvjone6fcsyruwnlpw3hi now, there are mainly four different problems predominating in this research community, namely, subjectivity classification, word sentiment classification, document sentiment classification and opinion the two main popular approaches to sentiment detection, especially in the real-world applications, were based on machine learning techniques and based on semantic analysis techniques. pre-defined categories set C = {positive, negative}, binary sentiment classification is to classify each di in D, with a label expressed The task on document sentiment classification has usually involved the manual or semi-manual construction of semantic orientation word lexicons (Hatzivassiloglou & McKeown, 1997; Some studies showed that restricting features to those adjectives for word sentiment classification would improve performance (Andreevskaia & Bergler, 2006; Turney & Littman, 2002; feature of topic) terms, i.e. extracting opinion-bearing words associated with polarity of positive or negative for specific topic (or feature of topic) from a document (Agrawal & Srikant, 1994; Jon & work_omjjryebmrbd3lmzysae32arzm Fuzzy relational inference that was applied in medical diagnosis was used In this research, a medical fuzzy expert system named (PedFES) has been The (PedFES) is a rule based fuzzy expert system, the results of laboratory Pediatrics Fuzzy Expert system (PedFES) has been described for diagnosis fuzzy output variable Pediatrics Patients Disease (PPD). PedFES must contain a set of rules that can deal with fuzzy tags, Design a Fuzzy Expert System for Pediatrics Diseases Diagnosis Design a Fuzzy Expert System for Pediatrics Diseases Diagnosis Design a Fuzzy Expert System for Pediatrics Diseases Diagnosis Design a Fuzzy Expert System for Pediatrics Diseases Diagnosis Design a Fuzzy Expert System for Pediatrics Diseases Diagnosis Design a Fuzzy Expert System for Pediatrics Diseases Diagnosis Design a Fuzzy Expert System for Pediatrics Diseases Diagnosis Design a Fuzzy Expert System for Pediatrics Diseases Diagnosis Design a Fuzzy Expert System for Pediatrics Diseases Diagnosis work_omkrjeappzda3e2pamua6hh7pm The development of an intelligent tutoring system on design of liquid retaining structures ABSTRACT: The design of liquid retaining structures involves many decisions to be made design of liquid retaining structures using blackboard architecture. This paper introduces the development of an expert system in design of liquid retaining structures using blackboard architecture with hybrid knowledge representation techniques engineering students to learn how to design liquid retaining structures effectively and KNOWLEDGE ON DESIGN OF LIQUID RETAINING STRUCTURES the following three basic components: knowledge base, context and inference mechanism. Visual Rule Studio objects are used to encapsulate knowledge structure, procedures, and EXPERT SYSTEM ON DESIGN OF LIQUID RETAINING STRUCTURES EXPERT SYSTEM ON DESIGN OF LIQUID RETAINING STRUCTURES (1996) A knowledge-based expert system for design of thrust blocks for (1994) Structuring and evaluation of VP-expert based knowledge (1995) Knowledge Processing for Structural Design, Topics in Engineering Vol. (1987) Knowledge-Based Approach for Structural Design, Topics in Engineering work_onji2byofbez7gkwoqzv3macsa INTEGRATED DECISION SUPPORT AND EXPERT SYSTEMS operational process require both expert manufacturing production and planning production planning and control systems. Material Requirements Planning Systems of knowledge based expert systems provides a manufacturing process information in terms of Chang and Lin: Decision Support and Expert Systems in a CIM Environment 143 Chang and Lin: Decision Support and Expert Systems in a CIM Environment 143 expert systems are able to perform this function. planning, and production operations. Product design, process and control planning expert systems already developed to support expert systems already developed to support product design function and process planning. expert systems to perform the operation and use features of decision support systems and expert features of decision support systems and expert expert systems in enhancing the planning, expert systems in enhancing the planning, Process Planning Expert Systems," Expert Systems in Manufacturing Design," Design of Decision Support Systems in work_oosyya7ztreevjkgbwbnfx5tom ontology-based techniques towards a more efficient sentiment analysis of Twitter posts. tweet Tex above, our proposed ontology-based approach distinguishes the features of the domain (in this case, screenplay and acting) and assigns respective scores, resulting in a more detailed on the related research efforts focusing on sentiment analysis on micro-blogging data, followed by a section elaborating on the deployment of ontologies in the micro-blogging domain. The proposed methodology is divided in two phases: (a) creation of the domain ontology (Section 4.1), and (b) sentiment analysis on a set of tweets, based on the concepts and properties In order to take advantage of the domain ontology created during the previous steps, the retrieved tweets have to contain information regarding the objects and attributes of reference. Ontology-based sentiment analysis of twitter posts Ontology-based sentiment analysis of twitter posts Ontology-based sentiment analysis of twitter posts work_ope6navdjndnnebvcd4hv3hj44 A comparative study of approaches to forecast the correct trading actions standard numeric prediction models to forecast the variation on the prices of the target asset classification, extensive experimental comparison, forecast, regression, trading actions In this work, we approach this decision problem using prediction models. In our target applications, we assume that there are deterministic decision rules that given the estimated evolution of the prices of prices into one of three possible decisions: Sell, Hold, or Buy. Given the deterministic nature of g, we can use an alternative of the economic results of the trading decisions made by the alternative models. the classification models in the context of financial trading based classification models or forecasting the price returns using regression) models, SVMs achieved better results both when considering classification or regression tasks. compare the regression and classification approaches to financial trading. to financial trading decisions based on forecasting models. work_oqlymuuk6ja3lfpzblmme72kyy 2.4 Experiment4 Single synthetic ellipse detection using figure 2.4 with one percent noise. edge point combinations are normally close to the major and minor axis of the ellipse and far apart from Other methods based on Hough transforms vary from edge directional information to parameter space In the Probabilistic Hough Transform, every edge point contribution to the final voting accumulator set In the method proposed in [33], ellipse detection consists then of four stages: removing spurious edge points parameters, the proposed method stores edges that voted for the ellipse center. Q Locate the highest accumulated ellipse center cell and retrieve the edge points, that voted for the In our algorithm, only the pair of edge points that are equidistant to the ellipse, as illustrated in Figure 3.2, 3.1.3 Locate the ellipse center with the highest accumulated cell and retrieve edges that 3.1.3 Locate the ellipse center with the highest accumulated cell and retrieve edges that work_ospbi4ykq5hghekbizm3ul2aqi We will also outline a number of differences between conventional problem solving systems and IKMS, the links between expert systems and those of structural and functional planning, the analogy between the model of the problem or business process and the problem domain. Knowledge-based systems cu real-time functioning bear features that the majority of classic system do not have: reasoning is evolutionary and non-monotonous due to the dynamic nature of the application, and events can change the status of the expert management system. We will reduce the structure of an expert system only to the knowledge base and inference engine, which has the role of decision-making control by using the reference inputs and the outputs of the process . Operators (xSE) corresponding to events ek ⊂ gSE(xSE) describe the update of the knowledge base and of the internal states of the inference engine when the process'' outputs, the reference, or both change, and certain rules Ri ∈ R are activated. work_osxoyxxqwncyjc53pteadeg4ne A Delphi-based approach to developing expert systems with the cooperation of multiple experts A Delphi-based approach to developing expert systems with In past decades, several methods and systems have been proposed to cope with this problem. expert system; therefore, while discussing the elicitation of domain expertise from multiple experts, it becomes an challenging and important issue to take the ''''time'''' factor into consideration. Keywords: Knowledge acquisition; Expert system; Knowledge integration; Medical diagnosis; Delphi method To cope with these problems, we shall propose a Delphibased approach to eliciting knowledge from multiple An application of developing a medical expert system has depicted the superiority of the novel approach. www.elsevier.com/locate/eswa on the repertory grids method originated from Kelly''s Personal construct theory (Kelly, 1955), which assists in identifying different objects in a domain and distinguishing Experts with Time scales (KAMET), is proposed in this construct to each element in different time scales into construct cj to element ei in tth time scale. work_othruimflnaupb3s56fqcmitji A reduced data set method for support vector regression A reduced data set method for support vector regression When there is noise and/or outliers exist in sampling data, the SVR may try to fit those improper data, and obtained systems may have In this paper, a reduced support vector regression is proposed for nonlinear function approximation problems with noise and outliers. approach is to adopt fuzzy clustering and a robust fuzzy c-means (RFCM) algorithm to reduce the computational time of SVR and greatly mitigates the influence of data noise and outliers. Training of the SVM involves optimization of a convex cost function and globally minimizes to complete the learning process (Campbell, 2002). fuzzy clustering method is proposed to greatly mitigate the influence of noise and outliers in sampling data, and then the SVR The model of learning from examples can be considered a general statistic framework of minimizing expected loss using sampling data. work_oupt5hnjxjdyteqxbkcurzltsm This paper proposes a novel method called ''knowledge acquisition via information granulation'' (KAIG) model which not only can remove some unnecessary details and provide a better insight into the essence of data but also effectively solve ''class imbalance'' problems. UCI data bank, including one imbalanced diagnosis data (pima-Indians-diabetes), are provided to evaluate the effectiveness of KAIG model. using different performance indexes, overall accuracy, G-mean and Receiver Operation Characteristic (ROC) curve, the experimental results Keywords: Information granulation; Fuzzy ART; Granular computing; Knowledge acquisition; Imbalanced data Sampling methods reduce data imbalance—by ''downsampling'' (removing) instances from majority class or ''upsampling'' (duplicating) the training instances from the construct IGs by the similarity of numerical data, the amount of knowledge acquisition via information granulation (KAIG) model. The rough sets method can be utilized to remove superfluous sub-attributes and to acquire knowledge. Numerical data (similarityZ1.0) Traditional methods Granules (similarityZ0.85) KAIG Knowledge acquisition through information granulation for imbalanced data work_ovc3spc7cvhv7au52qkbn3ozru Cертифицированный сервисный центр Toshiba Низковольтные преобразователи частоты Toshiba Методы решения прямой и обратной задачи оценки функциональной безопасности систем ПАЗ //Сборник трудов двадцать третьей Всероссийской научно-практической конференции «Актуальные проблемы защиты и безопасности». Типовые примеры расчета функциональной безопасности систем противоаварийной защиты опасных производственных объектов //Сборник трудов двадцать второй Всероссийской научно-практической конференции «Актуальные проблемы защиты и безопасности». Методология аудита функциональной безопасности эксплуатируемых систем противоаварийной защиты //Сборник трудов двадцать второй Всероссийской научно-практической конференции «Актуальные проблемы защиты и безопасности». Решение одной задачи оценки надежности структурно-сложной системы разными логико-вероятностными методами //Сборник трудов 15-й Международной научной конференции «Моделирование и анализ безопасности и риска в сложных системах» (МАБР-2019). Алгоритмы расчета показателей функциональной безопасности систем противоаварийной защиты //Сборник трудов 15-й Международной научной конференции «Моделирование и анализ безопасности и риска в сложных системах» (МАБР-2019). Программный комплекс АРБИТР – инструмент для проектной оценки надежности и функциональной безопасности систем управления //Автоматизация & IT в энергетике. Проектная оценка функциональной безопасности систем противоаварийной автоматической защиты //Безопасность труда в промышленности. Преобразователи частоты Toshiba Сервисный центр Toshiba work_oycc2mtdyrdkpfquyovfrgyj3m Identifying irregular file system permissions in large, multi-user systems is challenging due to the complexity of gaining structural understanding from large volumes of permission information. can be used by association rule mining techniques to identify irregular permissions is presented. prior knowledge of how to file systems permissions are implemented within a directory structure. permissions created from a set of predefined attributes to represent highly customised access control rules. balance on expert knowledge and provide a method of auditing file system permissions for all NTFS users. execution time for directory structures of the same size but with a different number of irregular permissions Table 2 demonstrates two example Associate Rules for demonstrating both an irregular and regular permission extracted from a synthetically generated directory structure with 100 directories and 16 anomalies. This paper presents a technique to identify irregular file system permissions using Association Rule work_ozfgaeogofdlroxd65simz73ay Automatic classification of glycaemia measurements to enhance data interpretation in an expert system for gestational diabetes Expert systems for diabetes care need to automatically evaluate glycaemia measurements in relationship Different machine learning techniques were studied in order to design the best classification algorithm in terms of accuracy. The classification module was integrated in the Sinedie expert system for gestational diabetes care and was evaluated in a clinical environment for 8 months with 42 patients. The majority of studies available in literature about expert systems do not explicit describe the method used to retrieve the associated meal and moment of measurement of glycaemia data or classifier to associate the appropriate meal and moment of measurement to each glycaemia data downloaded from a glucose Table 1 shows the results of the statistical study about measurement time variability of each patient over the four meal intervals work_p2drr5fdwzhgvcdp6idlyl5yo4 Digital Library of Expert System Based at Indonesia Technology University That University offers a digital library based of expert system. using this digital library based of expert system, users can search testing of the digital library based of expert system that have early trials digital library based of expert system to staff at of early trials of the digital library based of expert system, find of a field trial of the digital library based of expert system, the of testing the use of the digital library based of expert system on digital library based of expert system at Indonesia on digital library based of expert system at Indonesia digital library based of expert system at Indonesia Technology Forward Chaining Concept in Digital Library Based of Expert Backward Chaining Concept in Digital Library Based of Expert collections in digital library based of expert system using a Divayana, et.al., Digital Library Based of Expert System at Indonesia work_p3wb7fys7ncfvoks3dqhrs7wpq soil system classification is based on threshold values that define hierarchical diagnostic criteria. system (MFIS) was used to determine to what extent soil classified as Solonchak in WRB can interfere with Calcisols and For that purpose, membership values of Solonchaks (Is), Calcisols (Ic), and Gypsisols (Ig) indices were calculated from that provided by WRB; however, MFIS exhibited high precision concerning the membership value between soils and their +is author revealed high similarity between Gypsisols and Solonchak and concluded that the soil studied could studied soils (Solonchaks, Calcisols, and Gypsisols) are diagnostic criteria) of each group of soil (Table 2) into fuzzy that, compared to groups 1 and 2, the degrees of membership between soils (Solonchaks with both Calcisols and In each group, the soils which are neither Solonchaks, nor Gypsisols, nor Calcisols may be considered as Based on fuzzy logic, the soil previously classified by WRB as Calcic Solonchak has high work_p4nyzm7uz5fwrbumfajdtyk34i of financial forecasting is deriving a trading strategy, which makes a recommendation whether to buy, hold or sell. In summary, what we have presented so far—namely buy and hold, technical analysis and EDDIE—all use information derived from data that is based on physical-time. event-based price summaries for creating the trading strategies, based on the concept of directional changes. In this work, we will present new trading strategies based on the concept of directional changes. This proposed trading strategy combines the use of different threshold values in an attempt to take advantage Our proposed algorithm is going to be benchmarked against 3 different other types of trading strategies: (i) singlethreshold and multi-threshold directional changes, (ii) buy and hold, and (iii) technical analysis. This section presents results for all DC algorithms, and the two physical-time financial benchmarks of BH (buy Table 5 presents the return results for each month, for each DC algorithm, under the 10-minute interval data, for work_p5jfo4uolzgablpiooecwk2xu4 Software maintenance project delays prediction using Bayesian Networks Software maintenance project delays prediction using Managing software maintenance is rarely a precise task due to uncertainties concerned with resources and services descriptions. when a well-established maintenance process is followed, the risk of delaying tasks remains if the new services are not precisely described This paper presents a knowledge-based representation (Bayesian Networks) for maintenance project delays based on specialists experience and a corresponding tool to help in managing Keywords: Bayesian Belief Networks; Software management; Project delay estimation & Chapman, 2003) and software development (Khodakarami, Fenton, & Neil, in press; Ziv et al., 1996). Networks in software project risk management to predict of software maintenance process delay during project execution is presented in order to help managers in replanning projects. paper presents a technique to represent specialists knowledge about project development regarding delays. with maintenance project delays based on the Bayesian work_pa4cke2pdrde5hq57vbfuw75ui Multi-agent system for knowledge-based event Abstract: This work presents a multi-agent system for knowledge-based high-level event composition, which interprets activities, behaviour and situations semantically in a scenario with multi-sensory monitoring. sensor information and identify (agent decision system) significant changes in the monitored signals, which they send as simple events to the composition agent that searches for and identifies pre-defined patterns as higherlevel semantic composed events. environment to develop knowledge-based systems generally for event composition. work is surveillance, and event composition=inference examples are shown which characterize an alarming situation in the scene and resolve identification and tracking problems of people in the scenario being monitored. Keywords: knowledge-based systems, high-level vision, image understanding, video surveillance, knowledge-based high-level event composition, software agent that identifies activities or situations (composed events) as a composition from process the environment information and identify the events corresponding to the actions work_pb27dlju2vfnzoojuflkutsnxa Gene networks describe functional pathways in a given cell or tissue, representing processes such as metabolism, gene expression regulation, Thus, learning gene network is a crucial problem in the post genome era. Most existing works learn gene networks We propose a semi-fixed model to represent the gene network as a Bayesian network results and comparison with the-state-of-the-art learning algorithms on artificial and real-life datasets confirm the effectiveness of our approach. Keywords: Gene network; Bayesian networks; Hidden variable; Semi-fixed network; Semi-fixed structure EM learning algorithm over other methods in learning gene network (Friedman et al., propose a hidden variable hj, which represents the combination of a set of regulatory proteins expressed from Pa of the artificial network, which contains 4 genes and 4 regulatory edges. in learning Bayesian network with hidden variables (Friedman, variables to model the important components of gene network, Model gene network as a semi-fixed networkwith hidden variables work_pdphn5l3jbcsznfelp5dlhdaom The paper presents a Metamodel-based Disaster Management Knowledge Repository (DMKR) tool, The paper presents a Metamodel-based Disaster Management Knowledge Repository (DMKR) tool, actual knowledge sharing system, the DMKR system which stores DM solution modelling components and guides collection of relational database tables is created to manage the variety of modelling tools element in DMKR. Model and M0-User Model); Concept and Class elements (Terminology, Notations); DM Knowledge (Data for Following the MOF metamodelling framework, a model fragment is available at three levels of abstractions (Table example, if User A wants to develop a new Preparedness model from the DMM, a rule specific to initialise the Rule R04a ensures that every single mitigation-phase concept consists of a DMMClass and a model fragment. The derivation of an M1-Model using DMKR to setup a bushfire mitigation plan is presented in the following relationships and DM knowledge is structured in the DMKR system using Model Fragment units. work_pjmz74mdjbc4thg76nqncha7l4 Problems in applying expert system technology to Radiographic Image Interpretation expert system technology in the evaluation of radiographic images. evaluate potential problems in the use of this expert Society of North America (RSNA) meeting to evaluate the potential problems with inexperienced users. description," the program averaged the correct diagnosis in the top five 80% of the time. In addition, radiographic differential diagnosis or image interpretation systems The Radiographic Image Interpretation System (RIIS) was developed to produce a differential diagnosis for focal musculoskeletal lesions. The user of RIIS selects the positive radiographic findings from a list of possibilities presented to the user by the program. selected what they considered to be the appropriate differential diagnosis from a list of diagnostic included the correct diagnosis in their differential diagnostic list in 58 of 109 attempts (47%). 3, a chondrosarcoma, where the program listed the proper diagnosis as its most likely possibility in over 70% of work_pjoeu5ebfzhrlhey3rpdnpyzkq Design/methodology/approach – The expert systems follow a traditional sales adjustment grid Keywords Expert system, Property values, Sales adjustment grid, Non-parametric statistics, Property, methodologies within the category of real estate appraisal sales comparison relies on the appraiser''s judgment in the modeling process, but lets the data essentially First, arguably, the three largest uses of appraisals in the USA are for property tax studies of expert systems applications to demonstrate the modeling and statistical application of such expert systems as they apply to mass appraisal. systems will require appraiser input both in the modeling and the data selection. factors in hedonic price modeling", Journal of Property Valuation & Investment, Vol. 18 real estate values", Journal of Property Valuation & Investment, Vol. 16 No. 1, pp. models of neighborhood effects", Journal of Real Estate Finance and Economics, Vol. 17 estate appraisal", Journal of Real Estate Research, Vol. 31 No. 2, pp. work_pjyyzfpgdbaf5mh2ngygy5fbgu This paper proposes the identification of patterns of behaviour of open source software (OSS) communities using factor analysis and their social network analysis (SNA) features. modelled as a social network in which nodes represent the community members and arcs represent Active developers are those community members that regularly make contributions to the project. previous studies have been focused on a small number of social network features to characterize participation and obtain OSS patterns First, previous studies related to social network structures in OSS communities It is also a valued network, as it is possible multiple interaction between the same community members. a new generation using genetic operators like reproduction, crossover and mutation, using a selection based on the individual fitness VAR34 Number of vertices developing a brokerage role among active members and free riders 0.925 communities supporting OSS projects using social network analysis. work_pkt6ad356rbahib4cigxolwqrm T h e first section identifies central, domain-independent, design goals for the information-acquisition interactions between an expert system and its user. For this to happen, the generation of (partial) solutions (in a diagnostic domain this would be the generation of hypotheses) must be driven by input information; thus subsequent questioning based on the returned b y the decide-status function for a finding queried against the user observations can be directly corroborated, e.g. through observation. status-value((finding-subject)(attribute-value)) and negative values for finding subjects, synonymous be expressed in the f o r m a t (subject) (locality) (attribute-values) as follows: ''spine all-vertebrae irregular'', T h e query finding is established as false because the localities generalised and localised are opposing; in this respect, these two generic relative to a group of findings if Q has relevant implicants in the domain model. work_pkuiz7nuabfynihbb4g5iq3cfm Expert systems (ES) development technology has been used to build rural business applications in the past but architecture for the development of a design environment where the domain experts can build a knowledge base support by allowing human domain experts to develop relevant ES for different livestock farming business. Keywords: target-specific expert systems; design environment; rural application encourages the use of contextual knowledge for building their specific expert system in the design environment. As our proposed solution environment incorporates bi-directional activities by the domain experts and end users, addition, end users can be expected to use their developed ES for more than one purpose and domain experts domain experts to build relevant knowledge bases where the decision making parameters, instances and rules are elements are a knowledge base module, an expert system development module, and a problem ontology module. The problem ontology module allows domain experts to create a knowledge base work_pqny4mzrtbhwzm3pbmam6e6erq Due to the nonlinear nature of the intrusion attempts, unpredictable behavior of the network traffic and the large number of features in the problem space, Keywords: Ant colony optimization, feature selection, intrusion detection system intrusion detection problem, the data mining [14], machine learning [25] and immune system [37] approaches The classifier performance and the length of selected feature subset are adopted as heuristic information for ACO. employed the effectiveness of IDS in terms of real-time performance and detection accuracy from the feature selection perspective [7]. to the number of features within the data set; each ant classified by the IDS divided by the total number of intrusion records present in the test data set. Table 7: Detection rate per record of KDD Cup 99 for the different algorithms performances on the test data set N. Yazdani, "Mutual information-based feature selection for intrusion detection systems," International work_ps7ltaslkvb7hj7qgt6uhrcbni Abstract-This paper presents the development of a hybrid neural network to model a fuzzy expert The hybrid neural network is trained to develop fuzzy logic rules andjind optimal inputloutput membership values of load and weather parameters. observed that the fuzzy expert system using the Kalman $lter-based algorithm gives faster convergence ANN-based load forecasts give large errors when the input and output linguistic parameters of the fuzzy expert An alternative to the neural network-based load forecast approach for load forecast consists of rules similar to the Hybrid neural network modelled as a fuzzy expert system. Learned membership functions for 24 h ahead peak load forecasting, in January (winter) using FES,. develop fuzzy logic rules and find input/output membership functions. Hybrid Neural Network for Fuzzy Expert System 421 Forecasting of a load time series using a fuzzy expert system and the application of neural networks for short term load forecasting, work_psml6m62qjcxvnyhwfreu372ma Design of an optical content-addressable parallel processor for expert systems optics in the three RBS units; 122 capability of processing general-domain knowledge expressed in terms of parallel optical match unit, which performs the two-dimensional optical pattern matching and comparison operations; 142 a novel conflict-resolution algorithm to resolve conflicts in a single step within the Key words: Optical content-addressable parallel processor, rule-based system, inference engine, The OCAPP-ES executes the three basic RBS operations 1match, select, and act2 in a highly parallel input value of the variable 1left-hand side of a condition element2 and the prescribed symbolic constant Once the translated rule base is ready, fact variables related to condition elements with a greaterthan or less-than operator can be modified. Figure 9 shows the CRCM and an execution example of the optical select unit for the eight-rule The logical values of SLM1 are encoded such that vertically polarized light emanating from the device represents a 0 work_puqhglqbwrhgvnt2rdo43d4zpm Unlike traditional radio map-based methods, our methodology normalizes RSS measurements collected at different locations (on a floor) and uses artificial neural network In the third phase, we use data mining techniques (clustering) to optimize location results. system to locate MSs. The received signal strength (RSS), a measure of the power received by the client from an access point (AP), is the key parameter First, the location fingerprints are collected in the off-line or calibration phase by performing a site survey of the received signal strength (RSS) from multiple system that gets significantly better results than other similar systems because it normalizes measurements and optimizes clusters techniques to form different SOMs from the values of the normalized measurements with respect to each reference point. wireless devices and collecting received power data from the specified APs at the locations of interest. Fig. 14 is a comparison of the three wireless device location estimation methods. work_pvhpgmyphjaytf5rsqpo4744nu Bootstrap testing fuzzy hypotheses and observations on fuzzy statistic A new approach for bootstrap testing fuzzy hypotheses based on fuzzy test statistic Arnold (1996, 1998) presented an approach to test fuzzily formulated hypotheses, in which he considered fuzzy constraints on other recent works in testing hypothesis using fuzzy approaches, see Buckley (2005, 2006), Desimpelaere and Marchant (2007), Filzmoser and Viertl (2004), Hyniewicz (2006), Thompson and Geyer shown that the one-sample method of testing the mean of a fuzzy numbers, Yao and Wu (2000) signed distance and fuzzy hypotheses. In Section 3 we come up bootstrap testing fuzzy hypotheses based on fuzzy test statistic for mean based on Yao–Wu signed distance. Section 4 provide a Bootstrap testing fuzzy hypotheses based on fuzzy test statistic for variance based on Yao-Wu signed Now we define a signed distance between fuzzy numbers which An approach to fuzzy hypothesis testing. Testing fuzzy hypothesis with crisp data. work_pvp64m4phrctlisjvtkchdhwju rules that would recommend one or more CSP chiral selectors given particular CSP chiral selectors recommended by the rule�set� induced during test �� with the In tests ��� DataMariner induced rules whose clauses speci ed not only whether the chemical feature attributes should be merged� Consider the rst rule induced features from the chiral centre� Consider the rst rule that was induced which is choice of CSP chiral selector between the literature and the rule�set induced during test ��� Tables � to �� list the names and structures of the enantiomer pairs used Figure � One of the rules induced during test ��� Figure � One of the rules induced during test ��� Figure � One of the rules induced during test ��� Figure � One of the rules induced during test ��� aRank that was assigned by the rule�set induced during test �� for the choice of CSP chiral selector work_pvqnj77vmvhlxio2xevwsc3you earning HAZOP expert system by case-based reasoning and ontology PetroHAZOP has been developed based on the integration of case-based reasoning (CBR) and ontology case base module, CBR engine module, knowledge maintenance module and user graphical interface Within the case base, HAZOP analysis knowledge is represented as cases which are organized In order to enhance the case retrieval, a new set of ontologies for CBR-based HAZOP ased on the integration of CBR and ontology that can help autoate both "routine" and "non-routine" HAZOP analysis. When a new problem is subitted, CBR system retrieves the similar cases from the case base or CBR-based HAZOP analysis (CHA) is created in this paper by HAZOP analysis of chemical process needs knowledge from The HAZOP analysis process of the case-based expert system HAZOP analysis tool for chemical processes Part I: Knowledge Engineering Learning HAZOP expert system by case-based reasoning and ontology work_pxrj4u4bkbdaxngyw7p7vedjne many power systems operate close to their voltage stability boundaries. f i n y sets for voltage-reactive power control to improve the system techniques for the analysis of voltage stability in power systems. VOLTAGE STABILITY ANALYSIS IN POWER SYSTEMS operating near its voltage stability l e t , a mal1 increase in load ( active base case voltage V, = 1.0475 p.u. For this bus, QV curves are generated There is a significant voltage stability margin for the base case operating related to voltage stability analysis of power systems are reviewed. between reactive power and voltage at different operating conditions. When a load bus voltage violates the operational limits, control actions In this chapter, a fiiny-expert system approach to steadystate voltage stability monitoring and control is proposed. The key variables identified are load bus voltage, generator MVAR furzy-expert system are bus 12 load voltage = 0.8673 p u and generator 32 work_pz4j3x2gwfcodfqaa2m6wga6h4 Auto claim fraud detection using Bayesian learning neural networks Auto claim fraud detection using Bayesian learning neural networks This article explores the explicative capabilities of neural network classifiers with automatic relevance determination weight regularization, and reports the findings from applying these networks for personal injury protection automobile insurance claim fraud The automatic relevance determination objective function scheme provides us with a way to determine which inputs are most informative to the trained neural network model. learning is proposed as a practical way of training such networks. The empirical evaluation is based on a data set of closed claims from Keywords: Automobile insurance; Claim fraud; Neural network; Bayesian learning; Evidence framework regarding insurance (claim) fraud prevention, detection and insurance claim fraud. techniques were neural network classifiers trained according importance of inputs to the trained model. Bayesian learning for neural network classifiers is discussed 2. Neural networks for classification work_q6hwg6uubffdvieyd3xnivrg3e Modeling of an Inverted Pendulum based on Fuzzy Clustering Techniques Modeling of an Inverted Pendulum based on Fuzzy Takagi-Sugeno (T-S) fuzzy modeling based on clustering model is proposed for an inverted pendulum based on fuzzy cNonlinear, Clustering, Fuzzy, Inverted Pendulum, Takagi-Sugeno. fuzzy membership function and rules from measured input Fuzzy clustering can be used as tool to partition the data where Yasukawa [6] uses the fuzzy c-means algorithm to cluster the output data points to determine the fuzzy rules, and use some cluster serves as a local linear model of the system, the fuzzy cfuzzy c-means , G-K clustering and Gath Geva algorithms are Cluster validity refers to the problem whether a given fuzzy It measures the fuzziness of the cluster partition only, which is 3.3 Fuzzy C-means Clustering Algorithm Initialization parameters of fuzzy c-means algorithm are given as: of inverted pendulum using fuzzy c-means algorithm is shown in work_q7ajlfuhcfcmffnxawe6llzbxe This work presents the development of a prototype expert system (ES) for the machine selection of manufacturing systems. called ESMRS (Expert System for Manufacturing Resource Selection) is used in a simulation based approach in order to structure the cycles are run until obtaining non-improvable performance measures. utilization scope of ESMRS and then describes the ES static and dynamic knowledge representation before presenting the basic ES features Keywords: Machine selection; Expert system; Manufacturing system sizing; Simulation; Performance measure ''Machine department i'' objects corresponds to the effective present application in order to solve the machine selection recommendation list was ''addition of a machine in department 1''. Cycle Machine number nw ur MT MA ES recommendations simulation based approach in order to structure the solution simulation based approach in order to structure the solution An expert system for manufacturing systems machine selection An expert system for manufacturing systems machine selection work_q7rkao5a2fgllf2ctwv7imjw4a Music generation is a complex task even for human beings. modular system that composes music on its own by using Experts Systems technology and rule-based systems principles. To do that, rules issued from musical knowledge are used and emotional inputs from the users are introduced. framework for music composition that can be useful for future experiments. It has been demonstrated that music composition is a hard task even for humans, so using machines appears as a very interesting and fascinating area decades in Computer Music in general and in algorithmic composition in particular, it is true that the greatest For further information about composing music with computers, [17] and [18] works should INMAMUSYS current prototype has several composers that generate music in different ways: from just Muzak Composer generates music in a Muzak2 way. defines the music this composer generates. computer music area in general and in composition in work_qakoronh2rgybldob74jhpfznu Hayes-Roth, Waterman, Lenat eds. Research: ACM Press. the fact that our n o t i o n s of love, intimacy, and friendship ing i m p l e m e n t e d in PROLOG, which provides a general c o g n i t i v e a f f e c t i v e state c o m m o n t o friends w i t h o u t liking service, of t h e Dissertation Abstracts I n t e r n a t i o n a l (DAI) the DAI reference f o r f i n d i n g t h e a b s t r a c t in t h e published s o r t e d first by the initial DAI subject c a t e g o r v and second work_qazchnt2ebbbzg5332xif7e2t4 decision tree learning algorithms or suggested ways of changing the distribution of training examples to bias the decision tree learning process so as to take account of costs. The algorithm is evaluated with respect to ICET, one of the best known cost-sensitive Thus, the problem of developing an effective cost-sensitive decision tree algorithm when Consider the application of a decision tree induction algorithm on the Diabetes data set, which has been widely used for data for training and 50% for testing, then decision tree algorithms would typically produce Thus, as this example illustrates, if a learning algorithm aims to minimise the cost, there is easy, since assigning a relatively large cost to one class simply has the effect of pruning trees empirical evaluation of the effect of cost-based versions of pruning algorithms, similar to The ICET system takes an evolutionary approach to inducing cost effective decision trees (Turney, 1995). A comparison of cost-sensitive decision tree learning algorithms. work_qb53iyxcmvdwfeqedfthnek7xi optimization (handling superfluous elements before applying crisp reasoning) basic idea is to create some new crisp concepts and roles, representing the !-cuts Mapping fuzzy concepts, roles and axioms. Mapping of concept and role expressions, and reduction of the axioms. the reduction of an ontology can be reused when adding a new axiom. axioms does not introduce new atomic concepts, atomic roles nor a new degree Kleene-Dienes and Gödel implications in the semantics of fuzzy GCIs and RIAs. Table 2 shows some metrics of the crisp ontologies obtained in the reduction Optimizing GCI reductions turns out to be very useful in reducing the number of disjoint concepts, domain, range and functional role axioms: 152 to 19 Combining the optimization of GCI reductions with the definition of crisp concepts and roles reduces the number of new axioms, from 1288 to 390 subclass optimized version because fuzzy roles interpreted as crisp introduce one inverse work_qbzexnx22zfibibhrvs5slvbk4 prototype automatically reformulates queries to improve the search results, and the number of queries necessary to find relevant passages compared with the user In our system, queries are reformulated by a knowledge-based online search retrieved passages are presented to the user in rank-order. for the expert system''s query reformulation knowledge base were: 1) each search To broaden a query, search terms are added to the positive concepts, whereas narrowing a query adds search terms to negative concepts. more likely to retrieve relevant passages than broadening with the parent terms, original query would retrieve only one passage, so the expert system would attempt user''s original search terms; the number of occurrences for each word type from the Hypothesis 3: The expert system can rank the passages retrieved by the search in function, and did no query reformulation or ranking of retrieved passages. the number of user indicated relevant passages in the final retrieval set for the work_qc3hpktherfxbjlacpurupzti4 noise in the training and test data, Prism algorithms can outperform decision ensemble learner using a member of the Prism family as the base classifier Random Prism ensemble learner; Section 4 evaluates Random Prism on several datasets and compares it with a standalone Prism classifier in terms of and a parallel version of the Random Prism ensemble classifier. the motivation for developing the Random Prism ensemble classifier aiming Random Prism approach based on the RF ensemble learner. then discusses the new Random Prism ensemble classifier. Fig. 2 The Random Prism architecture comprising Bagging, R-PrismTCS base classifiers and weighted majority voting. The Random Prism ensemble learner''s ingredients are RDF''s random feature subset selection, RF''s bagging and PrismTCS as base classifier. use of bagging in the Random Prism ensemble classifier proposed here. Random Prism induces 100 base classifiers, however the runtimes are much Prism and decision tree base classifiers for each sample. work_qcxfniobyne2bjkncjf3tadu7m users to collaborate in developing, refining, and testing knowledge-based systems. Fuzzy rules resulted in semantically richer knowledge bases that flexibly handled ence engine supported hedges and partial matching to assist users in applying knowledge and exploring Web-based data. to the computer...users call on the computer for speiii cific advice as needed." The expert''s role is to assist knowledge engineers in developing, refining, and knowledge-based expert systems with Internet technology and fuzzy models. Maintaining and enhancing Web-based expert systems require a method to help users and designers allows experts and end users to collaborate in managing and accessing knowledge and data resources. and delivery environment to investigate collaborative fuzzy expert systems delivered on the Web. integrated development environment (IDE) application and Java delivery applet for producing, delivering, and collaborating to maintain fuzzy knowledge Based on the user''s responses and fuzzy logical inferences, the system retrieves data, derives problem solutions, and presents recommendations. work_qfm3rrdj3vhvtgib5fh3argega The services are managed by means of a Multi-Agent so that the necessary information may be obtained for the study of biodiversity. q 2004 Published by Elsevier Ltd. Keywords: Information system; Botanist; Biodiversity; Multi-agent system; Semantic web; Service ontology BioMen offers a series of services which enable the users order to carry out the service requested by the user (Fig. 4) Given the security restrictions called for by the complexity and the intrinsic value of the information managed by the data user who does not receive information processed by different users, obtain useful information for the provide the user with the requested information. centralize all the center''s information so that any user/ server will act as a virtual center enabling as many services information necessary for biodiversity studies (different It is therefore necessary to inform the center of the specimens which need to be collected so that the center is work_qgmytu4atfhsvf6zpxcsivfqni Our method is able, from a set of garments possibly exhibiting deep interpenetration, to compute an untangled state, ie. To achieve this, garments need to be converted to some implicit representation, while contact modeling by iso-surface composition needs to be extended to the untangling of an arbitrary number tangential relaxation are interleaved to deform each garment towards a target implicit surface, computed by applying an untangling Implicit Untangling: A Robust Solution for Modeling Layered Clothing • 120:11 Implicit Untangling: A Robust Solution for Modeling Layered Clothing • 120:11 Implicit Untangling: A Robust Solution for Modeling Layered Clothing • 120:11 Implicit Untangling: A Robust Solution for Modeling Layered Clothing • 120:11 Implicit Untangling: A Robust Solution for Modeling Layered Clothing • 120:11 Implicit Untangling: A Robust Solution for Modeling Layered Clothing • 120:11 Implicit Untangling: A Robust Solution for Modeling Layered Clothing • 120:11 Implicit Untangling: A Robust Solution for Modeling Layered Clothing • 120:11 work_qjfjookvc5chvio762y3j6qd4q An Expert System for Modelling Wave Height Time Series for the analysis of an incomplete, non-stationary and nonGaussian, long-term, time series of wave significant heights by makes it possible to complete missing-value gaps, forecast waveheight short-term evolution or simulate arbitrarily long used ARMA to model the non-stationary, long-term, timeseries of significant wave-height, whereas [4] proposed a new to apply ARMA models to long-term series of wave Results of the Monte Carlo simulation for the ARMA(1,1) parameter estimation obtained by means of three different techniques: the methods of distributions of storm duration (up) and its peak-value wave-height (down), distributions of storm duration (up) and its peak-value wave-height (down), time series to identify an ARMA model, which can be used to time series with missing values, with application to wave data", stochastic model for long-term time series of significant wave transformation for modelling time series of significant wave work_qkvyiqezdvbz3b32xeckjoauo4 The importance of vibration data in determining the condition of rotating machinery is well established in both the (Virginia Tech) Rotor Dynamics Laboratory to develop an inexpensive system to monitor, evaluate, and diagnose rotating machinery in industrial applications such as power plants through the development of an off-line rule-based expert system (Kirk this experience involved problems with high-pressure centrifugal compressors because of the attention given these machines as to update and add new information to allow the latest known vibration characteristics to be available in the expert system. The Virginia Tech on-line system used automated standard evaluation to determine whether vibration levels were low, normal, or excessive. A recent and, in fact, the first application of the off-line expert from Virginia Tech to a real problem with an unknown cause motor or generator vibration problems, and it precisely demonstrates the importance of having an expert system in place to work_qlkly4g5n5gvhgy4z3lc5sgq7u of an integer programming model; however, because a web log can accumulate a large amount of information, it is necessary to reconstruct the sessions over a period of weeks or months, thus the solution to In order to follow national laws, internet companies must rely on the anonymity of web logs for extracting information about their user preferences and browsing behavior Every time a user requests a web page or some resource contained on it such as images, videos, and sounds, a new record is A recent approach addresses the WSP as an optimization problem by defining an integer programming model (Román, Dell, & record r in the same session, according to the criteria of having the same IP address, corresponding to the same web The initial solution generated uses a variation of the Links Heuristic (Pirolli et al., 1996), ensuring that all of the consecutive records within a session do not exceed a maximum time window. work_qplkyxj7angddifjawucgv7umu Development of knowledge Base Expert System for Natural treatment of Diabetes disease Development of knowledge Base Expert System for Natural treatment of Diabetes disease Diabetes disease by using natural methods is new information natural treatment methods (Massage, Herbal/Proper Nutrition, KeywordsExpert System; ESTA; Natural treatment; Diabetes. ESTA (Expert System Shell for Text Animation) as knowledge therapy expert system that is developed in ESTA Application. Figure 1: Representation of Natural Treatment of Diabetes Diseases Expert System -- ESTA + Knowledge Base The knowledge of different types of Natural treatments Thus, for a natural treatment of diabetes expert system the of representation of knowledge in ESTA is section. types of natural treatment available for diabetes disease. B. Representation of Sections used in developing expert treatment methods available for Diabetes disease. Proper Nutrition) treatment solution of diabetes disease developing of expert system describing the various Natural knowledge bases for different natural methods treatment of work_qpwknkiy6fe53n2xd5klp2ww54 Keywords: expert system; medical decision support system for dentists; anxiety; dental treatment. psychological questionnaire, Spielberger''s State-Trait Anxiety Inventory STAI which has been approved and The research was based on a group of subjects consisting of 30 patients, girls and boys aged between 11 and 18, The patients from our sample filled in the Spielberger''s State -Trait Anxiety Inventory STAI with those two Distribution of patients according to the values obtained at A-trait questionnaire The patients'' distribution according to the values obtained at A-state questionnaire is presented in Fig.4. Distribution of patients according to the values obtained at A-state questionnaire The patients'' distribution according to the ANS parameter''s values is presented in Fig.6. which means that there is a connection between the stress status shown by ANS parameter of the device and anxiety If E is less than 25 and ANS less than 2, we start the treatment because state anxiety has normal values but we work_qqbfeohubbcqpahq4btcqwzt6e [(obstructive.tests,disease_related,contribution_absence_factors(O.7,-2.011, eight slots showing previous diseases, previous tests, en v i ro n m en t al and clinical factors which present in a patient with a particular disease, then this key tuple is t, alidated. satisfy_slot (Context,Hypothesis, Patient, PatientSlot,[normalization_factor(N F)], match_compare (Context, Hypothesis, Patient, PatientVals, Key, KeyValues, CF,AF,CM). match_compare (Context, Hypothesis, Patient, PatientVals, Key, KeyVals, C F,AF, C M ) ,- match (no,Context, Hypothesis, Patient, Key, PatientVals, Element, I nterSu m,AccSum) 4- record_contradiction (Context, Hypothesis, Patient, Key). Every direct key has a threshold, which is the m i n i m u m value o f the patient sum considered to anatomy_test (Context, Hypothesis, Patient, PatientSIot, Key, KeyValues,CF,AF,CM). likelihood that a patient with the particular test value has the disease being considered. If the patient''s test result contradicts the presence of the disease, blood_test_analysis( Hypothesis, Patient, PatientSIot, Key, CF,AF, CM ). call_proc ( [ Key, Context, Hypothesis, Patient, PatientSIot, KeyValues, C F,A F,C M ] ). work_qqpy7vvyarctvk32abryvwciwe The result of the exemplar flexibilization is a Domain Specific Language (DSL) compiler because reuses existing exemplars as product line initial baseline and is reactive because proposes domain engineering [11] as an incremental activity where flexibilization layers, which implement variable SPL In order to implement the exemplar flexibilization, different techniques commonly used to generalize Figure 9: An existing exemplar: a list of elements of type MyClass that implements features Copy Ownership, int LengthCounter and Tracing Sections 4.1.1 and 4.1.2 discuss how to implement the exemplar flexibilization for the features Ownership, LengthCounter and Tracing by using inheritance and aspects respectively. Figure 11 shows a flexibilization of the new exemplar based on multiple inheritance, where classes Figure 15 shows an exemplar flexibilization using the available EFL implementation in Ruby, where the ElementType, Ownership, LengthCounter and Tracing are managed by the generators ElementType, Ownership, work_qrl5mxz37fertdmqjhcuavftvy Crowdsourcing allows large-scale and flexible invocation of human input for data gathering and analysis, challenges and opportunities of data mining tasks using crowdsourcing, and summarize the framework question designing, data mining and quality control. People can make assumptions in order to compensate the loss of information by crowdsourcing the mining task. Crowdsourcing is an emerging and powerful information procurement paradigm that has appeared under many names, including social computing, collective intelligence and human of crowdsourcing for data mining, which includes question Data mining tasks can be divided into the multiple kinds: classification, clustering, semi-supervised learning, and In a nutshell, the quality of crowdsourced data has great influence on the mining result, so researchers have to pay careful attention to it. crowdsourcing is not a panacea for solving tasks in all data mining cannot use crowdsourcing to solve data mining task. people, then using crowdsourcing to do data mining task may data mining task in crowdsourcing. work_qrnasltopndvzmirwb3wqlfrda Business goals, user needs, and requirements: needs and requirements is also provided, to illustrate the process of refining high-level goals into requirements that can be satisfied by business processes is also described; finally, the usage of problem frames to model the mentioned issues is illustrated by More specifically, the paper aims on the one hand at clarifying the nature of requirements that are conceived and described at different levels (from the highest business-related Figure 6: Problem diagram representing business goal-level requirements. Figure 9: Problem diagram representing business needs and details of the environment. Although in the case study we had requirements on three levels (the business goals, the user needs, and the requirements) approaches (the reference model for requirements and specifications (Gunter et al., 2000), problem frames (Jackson, rests on the fact that it is coherent with the techniques involved (the reference model for requirements and specifications (Gunter et al., 2000), problem frames (Jackson, 2001), work_qv6jntxxevamlahgaiuxsxufbu developed a knowledge-based interactive graphic interface to a circuit pack diagnostic expert system. graphic interface integrates both the domain knowledge (i.e. circuit pack) and the troubleshooting knowledge-based models of the user and of the circuit pack troubleshooting domain. problems: designing knowledge representation, c o n t r o l strategy, building knowledge base, integrating multiple sources o f deep knowledge a b o u t electronic circuitry, developing user model, acquiring above systems lack the flexibility o f adjusting the user interface to the sophistication level o f O u r interface consists o f two basic modules: the test tree m a n a g e r and the user model manager. program--is viewed as a process of human knowledge acquisition, then a user model must be McR is a knowledge-based interactive graphic interface to a circuit pack diagnostic expert foresee using intelligent user interfaces for knowledge acquisition. work_qviavjkg3vh33n2acrcmsuxuve A large body of intuitive and analytical models has evolved over the last several decades to assist decision makers (DMs) in enterprise architecture (EA) framework selection. In this paper, we propose a novel fuzzy group multi-criteria model for EA framework evaluation and selection. with respect to the likelihood of m risk criteriaeD The fuzzy weighted collective detection matrix framework selection team member (EAFT)keLK The individual fuzzy likelihood matrix with on qualitative measurements not converted to quantitative variables include methods of verbal decision-making analysis (Berkeley, Humphreys, Larichev, & Moshkovich, 1991; Andre''eva, research in EA framework selection does not embrace both qualitative and quantitative criteria exhibiting imprecise and ambiguous value judgments. this step, the EA framework selection team identifies a set of qualitative and quantitative risk criteria associated with the EA frameworks. A fuzzy group multi-criteria enterprise architecture framework selection model A fuzzy group multi-criteria enterprise architecture framework selection model A fuzzy group multi-criteria enterprise architecture framework selection model work_qvv26xmtsbdulp6dyp5qod2yne A new approach for rule extraction of expert system based on SVM A new approach for rule extraction of expert system based extract knowledge rules from Support Vector Clustering (SVC). is to choose the features of the sample data by using Genetic Algorithm for improving the The new method is used to extract knowledge rules for aero-engine oil monitoring expert system, and the results show that the new method can effectively extract knowledge rules If data mining is applied to an expert system and if the knowledge rules are extracted http://www.elsevier.com/locate/measurement method is proposed to extract knowledge rules from SVC. samples into a high-dimensional feature space to get optimal separating hyper-planes and SVs. Finally, the hyperrectangles are constructed using the Clustering Distribution Matrix of the data obtained by the SVC, and the if-then 2. Knowledge rules extracting method based on GA_SVC work_qy6bxkk4tje53le55f5bggkglm The multi-agent system emits a set of knowledge (actions carried out by the learner, knowledge of the field, etc.) used by an artificial intelligence to Our study focuses on the representation of knowledge about the environment, and on the adaptable pedagogical agent providing instructive assistance. ITS also use a learner model which defines his/her personal characteristics and ascertains the condition of the knowledge able to evaluate the knowledge acquired by the learner by comparing his/her activity with information about the field (Keles, Ocak, 3. Entities'' behavior: Within the framework of a VLE the environment''s reactions to the learner''s actions must be simulated. the learner''s errors regarding the order of the actions to be completed and the respect for the conditions defined in the procedure An expert system manipulating knowledge to help human learners into virtual environment An expert system manipulating knowledge to help human learners into virtual environment work_qzvhmckl7bdx3na2hecgn5nkuy 404 File not Found ARRO Anglia Ruskin Research Online Home Accessibility Year Faculty Browse by Browse by Browse by Browse by Author Advanced Search Could not find the file: Could not find the file: The specified file could not be found on this server. If you reached this page by following a link within the repository, please contact the ARRO Anglia Ruskin Research Online administration. Otherwise, please check that you have typed the URL in correctly, or contact the person or site that supplied you with this URL. ARRO Anglia Ruskin Research Online is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits. work_r3cw4oxnnzfsrdzsslofkvck7e Expert systems can increase the effectiveness of planning. More effective knowledgebased management of planning projects is possible through the use of such aids in We need first to understand what knowledge it takes to plan knowledge-based expert systems become available to planners. Communication will be needed if more effective planning is barriers to effective knowledge utilization, is that no two planning knowledge of the present state from which planning is tor proceed. Effective planning requires more interpretive aids to guide the use of &dquo;visible horizon&dquo; or &dquo;planning foresight.&dquo; Oversimplification of complex issues may also contribute to low effectiveness, but knowledge routine knowledge through planning information systems would be one Recent publications explore the idea of the need for better systematization of information about project environmental effects. expert systems to support planning requiring consensus among diverse An EARN-based distributed environmental management planning expert network, capitalized with knowledge-based information are the goals and benefits of a knowledge-based distributed planning work_r3n6zd6qknebjm5jfpcdhkc6t4 systems techniques, notably in Neural Networks and Expert Systems. informaticians, scientists, and medical experts, to discuss actual and potential applications of neural networks and expert systems in medicine and healthcare, and to identify • Neural Networks & Expert Systems Techniques • Neural Networks & Expert Systems Applications • Integration of Neural Networks & Expert Systems into Clinical Environment 284 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND EXPERT SYSTEMS consensus expertise; limitations of neural networks or expert systems, safety and legal issues; hybrid neural networks-expert systems, integration with other techniques, e.g. TUTORIAL COURSE on Expert Systems and Neural Networks http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 http://www.hindawi.com Volume 2014 work_r53uf4oktvbcpeybrhp4zbvgfq A fuzzy expert system (FES) tool for online personnel Keywords: online job recruitment; fuzzy logic; fuzzy expert systems; FES; personnel selection; performance evaluation; job application portal; human Therefore, as a solution approach to the problem of fuzziness in the candidate selection Wei-Shen and Chung-Chian (2006), proposed a personnel selection tool based on fuzzy A fuzzy expert system (FES) tool for online personnel recruitments 461 A fuzzy expert system (FES) tool for online personnel recruitments 461 A fuzzy expert system (FES) tool for online personnel recruitments 461 A fuzzy expert system (FES) tool for online personnel recruitments 461 A fuzzy expert system (FES) tool for online personnel recruitments 461 A fuzzy expert system (FES) tool for online personnel recruitments 461 A fuzzy expert system (FES) tool for online personnel recruitments 461 A fuzzy expert system (FES) tool for online personnel recruitments 461 A fuzzy expert system (FES) tool for online personnel recruitments 461 work_r6qxnxypgjeohca7vm2tslrnou Keywords: mechanism, database, expert system, knowledge acquisition, inference mechanism. are open to improvement by developing a knowledge database and a set of inference rules [3]. teams made of knowledge engineers and human experts in the field of mechanisms design. experts shall provide factual knowledge based on specialised books as well as heuristic In case of an expert system using inference mechanisms based on production rules, the data obtained while applying the production rules, via the inference mechanism. used to represent the knowledge are based on algorithms and they may be: production rules, The knowledge representation method based on production rules is similar to human The expert system''s knowledge base shall be A deductive expert systems, will start from the initial data (facts), then the rules in the knowledge database will applied one by one in order to determine a result. human experts and it is made of a computer programme that uses its knowledge database in work_rbflc7gdy5hy5jjvjpxbihcnxm of artificial intelligence research concerned with developing programs that use symbolic knowledge to simulate the as "knowledge engineering." Expert systems are knowledgeintensive computer programs with the following dimensions: anthropometric measurements from that population, the classification of the work to be performed at the workplace, the that were performed, and detail the development of the prototype knowledge base and the use of its inference engine. The next group of rules apply to fully adjustable workplaces in which the work surface height, chair height, and design of a workplace that includes a work surface or table a workplace that includes a work surface, chair, and footrest with no height adjustment features. The data base used by the workplace design expert system is a collection of anthropometric measurements taken The workplace design expert system knowledge base was The workplace design knowledge represented in rule form The development of a workplace design expert system THE ERGONOMIST is a knowledge-based workplace design program work_rcxb7tpvibdetk4dirtapg2vjy Founded on the premise that water and energy are key to life, we have designed a fuzzy system that can (1) acquire the appropriate past/present water/energy indicators while the tier-scalable mission architecture is deployed (first layer), and (2) evaluate habitability through a specialized fuzzy knowledge-base of the water and energy information (second layer) acquired in (1). Keywords: Fuzzy logic; Tier-scalable mission autonomy; Astrobiology; Search for life; Robotic planetary exploration; Autonomous planetary fuzzy-based expert system for life assessment and interpretation can effectively retain only data that yields Fuzzy rules are defined by linguistic statements expressing the expert field knowledge required to infer new facts. according to past/present water/energy, leading to indicators of life potential. of rules linking past/present water/energy to life-containing First fuzzy-layer: past/present water/energy past water on Mars, are the input to the fuzzy system #2 (first layer) to First fuzzy-layer: past/present water/energy assessment for life-containing potential work_reqecactfbfmtncjxukrd3yts4 Fuzzy Logic Driven Expert System for the Assessment of Software Projects Risk Assessment of Software Projects Risk developed tool helps in estimating the risk probability based on the software project''s critical success factors. Developing tools to assess and manage software risks have This tool evaluates the project risk probability based on ten A fuzzy based user-friendly tool to evaluate "risk general software project risk assessment through any phase of to assess the project risk during any phase of software describes software project success factors. Many software project success and failure factors have the most risk factors that affect the process of project used to identify software projects with high risk [16]. tool for software risk assessment based on critical success represents the software project risk probability. represents the software project risk probability. "risk probability" for the software projects is presented. tool is developed based on software project success factors ,Software project risk analysis work_rewmle3fpbbtxekaoibpbng3fe Course Generation Based on HTN Planning course generation based on pedagogical tasks Course generation automatically assembles learning objects retrieved from one or several repositories to a greater approach to course generation, which is based on hierarchical task network (HTN) planning. These approaches use rather simplified pedagogical knowledge, e.g., to select those learning objects with the lowest [Friedman-Hill, 1997]) to represent elaborated course generation knowledge as rules [Ullrich, 2003]. LEACTIVEMATH, authors annotate exercises and examples with the competencies they train (in addition to a subset of standard LOM metadata [IEEE Learning Technology For each scenario, we formalized the pedagogical knowledge required to generate courses supporting the learner to Figure 1 illustrates a method developed in LEACTIVEMATH based on pedagogical principles. Therefore, we extended the HTN planner so that queries about learning objects in a method''s preconditions result in a call to a mediator. Representing Course Generation Knowledge in an HTN planner work_rfdvns3gd5djdmkbwoodu767ku ( EXPERT SYSTEMS ; MODELLING; PRODUCTION/INVENTORY) paper a l s o discusses the general methodology for building expert systems in production-inventory (PI) models have prompted many researcher s to publish developments in inventory modelling and p o s sible extensions of the current inventory models based on a systematic use of twelve basic assumptions. But , as in m any d i s c ipline , experts in inventory modelling are also create systems for class ify ing inventory models as d i s cussed in the Our system, named EXPIM (for EXpert Product ion/Inventory It is important to note that, along with the EOQ type general model an EOQ extension , then these rule s would recommend that model , but with a As the use of expert systems in management sc ience applicat ions i s production and inventory models. DUDA, "Principles of Rule-Based Expert Systems", in work_rh2ldlogbze5dldx4ce5fsu4ee Correlating the weights of the expert forecasts in these linear combinations with the model forecasts gives most weight of the expert forecast. And, if so, is that robust across forecast horizons and does it differ across experts? Our data concern a firm that creates model forecasts and which has almost fifty experts no information on what exactly drives the expert to deviate from model forecasts and also not This combined forecast for each expert i given a horizon h is given by where we compute the value of ai across all products within an expert-horizon combination. of the cases model forecasts combined with expert forecasts yield improvement. When we computed the optimal weights of combining model forecasts and expert the degree of wrong-signed expert forecasts, and the degree of no deviation from the model combine model forecasts and expert forecasts. Table 4: Optimal weights in the combined forecast, that is, work_rh3fbbbqgrfnbiovibtnrvibyy work_rhgi3yz4jfaq7ev6lbeirq2c7u decentralized, self-organized algorithm for solving combinatorial optimization problems. In this paper, we present a self-organized computing approach to solving hard combinatorial In this paper, we present a self-organized computing approach to solving hard combinatorial microscopic characteristics of optimal solutions with respect to discrete state variables and local characteristics; Fitness network; Phase transition; Self-organized computing finding near-optimal solutions of NP-complete problems within a reasonable computational time. optimization, several decentralized, self-organized computing methods have been studied in recent the global fitness of a combinatorial solution can be represented as a function of distributed local fitness, and the optimal solution is equivalent to the microstate with the minimum sum of local analysis of optimal solutions based on the preceding definitions of discrete state variable and local For a given combinatorial optimization problem, the fitness network can be globally optimal solution ''0011'' in the bottom of the fitness network. present a self-organized computing method for solving combinatorial optimization problems. work_rif2akzab5gxffmzav5mcf5uva earthquake characteristics are considered in prediction models of four demand parameters. Estimation of input and hysteretic energy demands using mathematical models could be considered 83 (1956) presented a model to determine input energy based on the spectral velocity of SDOF system. proposed mathematical models to estimate the seismic energy spectra of inelastic systems located on 116 MOGP is used for predicting the seismic energy demand spectra considering both typical structural and 153 four different sets of earthquake ground motion records based on their soil types (soft, firm, stiff and 157 theoretical studies, the spectral values of the mentioned energy-based EDPs were predicted using 218 mathematical models including structural variables (and PGA of earthquake records) with four different 433 out to propose accurate and simple mathematical models for predicting seismic energy demand spectra. predicting the seismic energy demand spectra compared with some of the models presented in the 631 work_rjehwmoalvgknnzgl5b2jfpziq Some of the studies show that the stock market is not efficient around the earning season. Based on these findings, we formulate the problem as a classification problem by using state of the art machine learning techniques such as minimax probability machine (MPM) and support vector machines (SVM). The MPM method finds a bound on the misclassification probabilities. Keywords: Support vector machines; Minimax probability machine; Kernel methods; Portfolio management; Earning announcements derived from earning announcements and volatility of stocks markets and earning announcements focus on the information announcements of decrease in earnings for the USA firms. to earnings announcements, there is no consistent price Quarterly earnings announcement is probably one of the with two classes; ''buy a certain stock whose earning/eps is Data mining techniques such as SVMs, MPM and multilayer portfolio selection problem by using MPM and SVMs. This can earning announcement. announcement in terms of individual stocks. H. Ince, T.B. Trafalis / Expert Systems with Applications 30 (2006) 535–542536 work_rjygsln4abck3e5ise2c6pfo3u Inconsistency frequen@ exists in a rule-based expert system. o f inconsistency in a fuzzy rule-based environment is difficult and may be different the similarity measure, is introduced to determine the likeness o f two fuzzy terms. using the affinity measure, the techniques f o r consistency checking in a non-fuzzy However, checking inconsistency in a fuzzy rule-based environment m e n t e d for fuzzy rule-based expert systems. T h e r e are several kinds o f inconsistencies in a non-fuzzy rule-based possibility theory, and t h e n the affinity m e a s u r e of two fuzzy terms will be A consistency checker in a fuzzy environment (CCFE) has been implemented to check the rule bases built from a fuzzy expert system shell Z-III CCFE is used to verify the consistency of fuzzy rule bases. completeness and consistency in rule-based expert systems, Int. J. work_rmcq2fj2gjgjpaemfohxb4igwe In supervised learning, a training set of instances is given as input to a machine learning algorithm. It selects important points based on a threshold that defines a coverage area per instance. australian, breast cancer, crx, hepatitis, image segmentation, ionosphere, iris, liver, pima diabetes, promoters, sonar, soybean, tic tac 2.3 Adaptive Threshold-based Instance Selection Algorithm 3 (ATISA3) 2.3 Adaptive Threshold-based Instance Selection Algorithm 3 (ATISA3) 2.3 Adaptive Threshold-based Instance Selection Algorithm 3 (ATISA3) 2.3 Adaptive Threshold-based Instance Selection Algorithm 3 (ATISA3) 2.3 Adaptive Threshold-based Instance Selection Algorithm 3 (ATISA3) 2.3 Adaptive Threshold-based Instance Selection Algorithm 3 (ATISA3) 2.3 Adaptive Threshold-based Instance Selection Algorithm 3 (ATISA3) 2.3 Adaptive Threshold-based Instance Selection Algorithm 3 (ATISA3) 2.3 Adaptive Threshold-based Instance Selection Algorithm 3 (ATISA3) 2.3 Adaptive Threshold-based Instance Selection Algorithm 3 (ATISA3) 2.3 Adaptive Threshold-based Instance Selection Algorithm 3 (ATISA3) 2.3 Adaptive Threshold-based Instance Selection Algorithm 3 (ATISA3) work_rmoyqarpofdehavtg6affi7un4 In this paper, we describe a mod.el in which a set of knowledge-based agents cooperates to solve design problems. model is based on the resolution of conflicting solutions generated by experts having different goals, priorities and evaluation criteria. detected, agents involved in the conflict propose their alternative resolution strategies. Conflicting recommendations issued by design agents are resolved by a third-party arbitrator agent, which makes suggestions based on the globally known conflict resolution knowledge. of a set of design agents, which are fully functional knowledge-based systems, and a shared blackboard. This area holds evaluation results and conflict resolution recommendations issued by design agents. When none of the interested agents detect any conflict related to a proposal, the partial design template residing in the In these approaches, each agent is assumed to have a global knowledge of conflict resolution information. and H.A. GUVENIR (1992) A conflict resolution based cooperative distributed problem solving model, in Proceedings of work_rmyv4p2swra7jhyawjyxsgolki Internet of Things based Expert System for Smart Agriculture Internet of Things based Expert System for Smart the Internet of Things (IoT) that will use the input data collected we present an Expert System based on the concept of Internet Fan TongKe [10] proposed the smart agriculture based on smart agriculture based upon the concept of the IoT and cloud • An expert system for the olive crop diseases and weed data and send the recommendations to the farmers about crops. Communication of Sensors Data in IoT Based ES IoT-based Expert System is different from traditional we deploy the expert system which processes the sensor data our proposed solution, we develop an expert system based on IRRGATION SCHEDULING IN COTTON CROP BASED ON EXPERT SYSTEM COMPARISON OF PROPOSED IOT BASED EXPERT SYSTEM WITH OTHER ES [35] Edrees, Soliman A., Ahmed Rafea, Ibrahim Fathy, and Mohamed Yahia. Iot bASED Expert System work_rntucm3cifeqvf5jj5dyekbyte A proposed validation framework for expert elicited Bayesian Networks. The popularity of Bayesian Network modelling of complex domains using expert elicitation has raised questions of how one might validate such a model series of eight tests to validate system dynamics models; parameter confirma-159 There are very few validity tests specific to BN modelling, but the few180 testing the predictive validity of expert-elicited networks. 3. A validity testing framework for expert-elicited Bayesian Net-202 validity of the discretisation of nodes within the model, we can ensure that271 A model with high concurrent validity would have sub-networks in common309 validity in BNs refers to how similar the model structure, discretisation,329 of validity, we can test the expert elicited BN regarding the convergent and341 tests of the discriminant validity of the BN model:377 tests to establish confidence in the predictive validity of a model is notable436 six types of model validity, using both general and specific tests.470 work_rot6zrcqi5gj5ejyx4xttfge3m sys_1000 wp-p1m-39.ebi.ac.uk wp-p1m-39.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. 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Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_rqoiakpfrbfbvc3r66rojuqd7q Such concerns lead us to suggest the development o f expert system prototypes via an approximate reasoning framework based on fuzzy logic but Domain experts (for this discussion, stochastic model builders) provide such rules during the knowledge acquisition phase, where A~, meaning o f these linguistic terms by specifying their membership values meaning o f these linguistic terms by specifying their membership values membership values obtained from domain experts and their logical combinations usually turn out to be " i n t e r v a l v a l u e d " in most measurement experiments (Turksen [ 4 6 ] , Chameau and Santamarina [7]). point-valued membership functions obtained from experts (the stochastic model A different case is the fuzzy set o f Very High for the service level, as shown Approximate reasoning with linguistic variables and their terms provides work_rqxvspxoird6bl7trrujddufx4 in~plications of these differences for knowledge based decision support systems for what is the nat,ure of expertise in domains where knowledge based support systems1 have managerial problems t h a t require modeling problem situations for decision-making purposes. ''1 use t h e t e r m Bknowledge based system'' t o refer t o a program where domain-specific knowledge plays a m a j o r role in inference. maintenance of planning models t o support decision making. other domains, and the implications of the differences for knowledge based support system architectures. 2. Distributed Expertise: formulating models for decision-making involves many individuals experts for broad-based organizational modeling; instead, knowledge about the alternatives in these differences for knowledge based decision support for management. 3. Knowledge Based Decision Support for Planning support decision-making are based on evolving knowledge, such systems must be able t o represent and work_rxbr5e34ffcrrfeasj5wwzpuwy International Journal of Scientific Research in Computer Science, Engineering and Information Technology International Journal of Scientific Research in Computer Science, Engineering and Information Technology This research is aimed at developing a Software Framework for poultry management with the objectives: To provide poultry farmers with expert knowledge from the comfort of their homes. to adopt and use the software framework because it can give knowledge on how to manage poultry expert system Keywords : Expert, System, Poultry, Management, Generic. poultry expert is not always available when the farmer impact of expert system in poultry farming and develop a framework of knowledge base poultry Information System tools helps poultry farmers to poultry farmers better plan their management process, known as Poultry Farm Management Information Concept of Poultry Production and Expert System can give knowledge on how to manage poultry expert information technology enabled Poultry Expert information technology enabled Poultry Expert work_s2a3uuwwqjcfnbzd6piss22kpm the user interface and optics for the rule-based inference engine. Key words: Expert system, electro-optical rule-based system, inference engine, optical interconnection networks. Consequently, current symbolic computing tasks, including rule-based systems (RBS''s) elements and rules with a large number of condition EORBS offers a major advantage over previous proposals (including optical ones): simultaneous processing of several rules as opposed to the sequential system, each fact, goal, condition, or action is represented by a pixel in the corresponding 2-D plane. The match operation consists of comparing the current facts with the condition elements of the rules. algorithm is described below that generates automatically a fact-to-rule mapping table (FRMT) from RFA the optical fact plane and the interconnection networks IN1 and IN2 . rules are mapped onto the fact plane with IN2. this example, each triggered rule represented in Fig. 11(c) is mapped onto the new fact plane of Fig. 11(d) work_s6wqhsfem5an7fmdkfetereenu Carnegie Mellon University research repository Browse Browse Discover research from Carnegie Mellon University Follow AllCategoriesgroupsSEARCH Hide footerAboutHow to DepositPreparing DataDMP ToolDeposit SupportContactDeposit AgreementTermsPrivacyToolsFAQsDisclaimerSitemap figshare. credit for all your research. work_s7h4q3jntjhiferlkk4f67aqoq This paper investigates how to estimate the likelihood of a customer accepting a loan offer as a function of the offer parameters and how to In this paper, we suggest three approaches to determine the probability that an applicant with characteristics will accept offer Firstly, a logistic regression model is applied to obtain the acceptance probability. Secondly, linear programming is adapted to obtain the acceptance probability model in the case where there is a dominant offer characteristic, obtain the probability of acceptance in the case where there is a dominant offer characteristic. Keywords: Student bank account; Acceptance probability; Coarse classifying; Logistic regression model; Linear programming; Accelerated life model Application and offer characteristics used in the model characteristic at which this applicant would accept the offer. A data set of the application and offer characteristics for 331 Result of logistic regression on offer and applicant characteristics work_s7s7uwa7qfbffcltbrcznpprve This paper proposes a new system for low frequency adaptive image watermarking based on the statistical data from psychological In order to reduce the degrading of image quality, the new approach determines the strength of watermark according to local image characteristics such as brightness and contrast. between the watermark strength and the different levels of image brightness and contrast information. Keywords: Blind image watermarking; Discrete wavelet transform; Psychological experiments; Human image perception; Edge mask In this paper, we propose a new watermarking technique that is not only applicable to images, but also easily expandable to other host controlling the watermark strength with the data associated with brightness and contrast as local image characteristics, without sacrificing the robustness of images. Such a prediction indicates that the impact of embedded watermark on the fidelity of images can vary by the level of brightness and higher level of average brightness and contrast are discerned even at the same strength of watermark embedded. work_sais73suafgozanfdqttn5js4i Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering Nonnegative Matrix Factorization (NMF) based coclustering methods have attracted increasing attention in recent years because of their mathematical However, the algorithms to solve NMF problems usually involve intensive matrix multiplications, which Moreover, the resulted factor matrices can directly assign cluster labels to data points and features due to the nature of indicator matrices. However, in many real world applications, the clustering based analysis is interested in twoside clustering results, i.e. group the data points and features of NMTF based co-clustering approaches is the slow computational speed because of intensive matrix multiplications In this paper, we propose a novel Fast Nonnegative Matrix Tri-factorization (FNMTF) approach to efficiently conduct co-clustering on largescale data. The latter, simultaneously clustering the rows (features) and the columns (data points) of an input data matrix, In this section, we evaluate the proposed FNMTF and LPFNMTF approaches, and compare them against state-of-theart (co-)clustering methods, including Semi-NMF (SNMF) work_sb2bp5b7yndx7gh2eyj26kewbe Neural networks in process life cycle profit modelling Neural networks in process life cycle profit modelling Changes in operational environment of the process industry such as decreasing selling prices, increased competition between companies and new legislation, set requirements for performance and effectiveness of the industrial production lines and processes. of this study, a life cycle profit (LCP) model of a pulp process was constructed using different kind of process information including Keywords: Life cycle profit modelling; Neural network; Multi-layer perceptron; Variable selection; Pulp industry It is essential that life cycle profit model has been constructed so that it reveals how changes are affecting revenues and costs of a production line. Raw process data is one of the LCP models information process life-cycle profit modelling into more intelligent system to produce valuable and more accurate new information to decision making. In this study life-cycle profit model (Soukka, 2007) was work_sbd5jdz4wjbu5e5uvurw7sz2pe promote the product quality, the implementation and application of an automatic timbre evaluation system with spectrum analysis and Keywords: Automatic quality evaluation system; Timbre; Flute; Spectrum analysis; Cluster algorithm same token, to evaluate the timbre quality of Chinese bamboo flute relies heavily on the experience of the technician To determine the timbre quality of flute is a time-consuming process that requires manual subjective judgment, both by automation, an automatic timbre evaluation system is necessary to classify the quality of flute. 3. The automatic flute timbre quality evaluation system sweet, transparent, thick, bright, excellent, and bad to classify the timbre quality of flute with the ADTQE system and process, where technicians possibly resist using an automatic evaluation system to judge the timbre quality of flute. Moreover, classifying the timbre quality of flute using Automatic timbre quality evaluation in Chinese traditional flute industry The automatic flute timbre quality evaluation system (ADTQE) work_sdrrc56bk5bkfior2rbas4dyty The TOPOSCOUT expert system for stroke localization. Clinically, strokes are localized by the findings on neurologic examination, TOPOSCOUT is an territory of strokes based on the clinical signs and symptoms. TOPOSCOUT uses a backtracking algorithm and a rule-based data base that includes associations of neurologic signs with vascular and anatomic areas, TOPOSCOUT is capable of detecting typical The topologic localization of stroke is basedon detailed knowledge of the associationsof clinical signs and symptoms with lesions At present, TOPOSCOUT''S knowledge data base includes only patterns TOPOSCOUT''S inference engine is based on a backtracking algorithm and is the section of the computer program that includes the specific problemsolving capabilities of the expert system. lesions, TOPOSCOUT looks for patterns of signs associated with territories of the main cerebral arteries. brainstem lesions and TOPOSCOUT''S prediction including the supposed side of the stroke, an TOPOSCOUT is a microcomputer-based expert system designed to assist physicians in diagnosis of the work_se473dceh5atrhc37ydulr7ns4 artificial experience-replay, deep reinforcement learning, environment Modelling, exploration, Bangaru, Suhas and Ravindran (2016) proposed a method of deducing the Markov Decision Process (MDP) by introducing an adaptive exploration signal (pseudo-reward), which was obtained using deep generative model. Xiao and Kesineni (2016) proposed the use of generative adversarial networks (GAN) for model-based reinforcement learning. was used to learn the optimal policy of the environment using algorithms such as Deep Q-Networks (DQN) (Mnih et al. Deep Planning Network (PlaNet) is a model-based agent that interpret the pixels of a state to learn the dynamics of an environment. Their algorithms show state-of-the-art performance in self-supervised generative modelling for reinforcement learning agents. In this section, we show results of model-based reinforcement learning using DVAE in the deep-maze and deep-line wars environment. Increasing sample efficiency in deep reinforcement learning using generative environment modelling Increasing sample efficiency in deep reinforcement learning using generative environment modelling work_sfc3mik6snaw7buodbobenrsra The proposed algorithm performs multiple clustering of the data based on attribute values in different structure information from multiple attributes by using the attribute values present in the data for computing initial cluster centers. In Section 4, we present the proposed multiple attribute clustering approach to compute initial Bai, Liang, Dang, and Cao (2012) propose a method to compute initial cluster centers on the basis of a density function (defined by using the average distance of all the other points from a algorithm (see Section 4 for details) for finding initial clusters centers for categorical datasets circumvents both the drawbacks discussed earlier i.e. its worst-case time complexity is log-linear in Repeating this process for all the Vanilla/Prominent/Significant attributes yield a number of cluster labels that represent multiple partition views of every data object. Seboreic dermatitis Psoriasis Lichen planus Cronic dermatitis Pityriasis rosea Pityriasis rubra pilaris work_sfdi3u5lxrfd5bs6kvpimltvbu Path relinking for the vertex separator problem Path relinking for the vertex separator problem Titre Path relinking for the vertex separator problem Langue Anglais revue Expert Systems with Applications Mots-clés graph partitioning [4], Path relinking [5], Population-based heuristics [6], Vertexseparator [7] anglais This paper presents the first population-based path relinking algorithm for solving the NP-hard vertex separator problem in graphs. dedicated relinking procedure to generate intermediate solutions between an initiating solution and a guiding solution taken from a reference set of elite solutions The proposed algorithm is assessed on four sets of 365 as reference values for assessment of other algorithms for the problem. notice http://okina.univ-angers.fr/publications/ua15972 [8] Lien vers le document http://www.sciencedirect.com/science/article/pii/S0957417417302270 [10] Liens http://okina.univ-angers.fr/publications?f%5Bauthor%5D=26865 http://okina.univ-angers.fr/publications?f%5Bauthor%5D=26865 http://okina.univ-angers.fr/publications?f%5Bauthor%5D=26865 http://okina.univ-angers.fr/publications?f%5Bauthor%5D=26865 http://okina.univ-angers.fr/jinkao.hao/publications http://okina.univ-angers.fr/jinkao.hao/publications [7] http://okina.univ-angers.fr/publications?f%5Bkeyword%5D=22999 [7] http://okina.univ-angers.fr/publications?f%5Bkeyword%5D=22999 [7] http://okina.univ-angers.fr/publications?f%5Bkeyword%5D=22999 [7] http://okina.univ-angers.fr/publications?f%5Bkeyword%5D=22999 [7] http://okina.univ-angers.fr/publications?f%5Bkeyword%5D=22999 [7] http://okina.univ-angers.fr/publications?f%5Bkeyword%5D=22999 [7] http://okina.univ-angers.fr/publications?f%5Bkeyword%5D=22999 [7] http://okina.univ-angers.fr/publications?f%5Bkeyword%5D=22999 [7] http://okina.univ-angers.fr/publications?f%5Bkeyword%5D=22999 [8] http://okina.univ-angers.fr/publications/ua15972 [8] http://okina.univ-angers.fr/publications/ua15972 [10] http://www.sciencedirect.com/science/article/pii/S0957417417302270 [10] http://www.sciencedirect.com/science/article/pii/S0957417417302270 Publié sur Okina (http://okina.univ-angers.fr) http://okina.univ-angers.fr work_sgdejolmezfsfeseqbroy6peum The best version of the memetic algorithm is MRT60 which integrates the modified robust tabu search MRT for offspring improvement. First, the proposed BMA algorithm is based on a new local optimization procedure (i.e., BLS) which adopts an adaptive perturbation mechanism to better memetic approach generates new solutions by applying crossover and/or mutation, followed by a phase of local search to improve each offspring solution. convergence, BMA triggers an adaptive mutation mechanism to the entire population if the best solution found during the search has not been improved during As most local search algorithms for QAP, BLS employs the swap operator Table 2: Comparative results between the proposed memetic algorithm (BMA), BLS (Benlic & Hao, 2013c), and three best performing QAP The performance of a memetic algorithm may be influenced by the characteristics of the search landscape like the average distance between local optima and work_shveq3cihjehzguqdy6ovwfmcu c© Copyright 2014 Elsevier Ltd. NOTICE: this is the author''s version of a work that was accepted for publication in Expert Systems with Applications. ''knowledge-based urban development'' is coined to bring economic prosperity, environmental It aims at exemplifying empirical approaches in knowledge city research to generate the following ten papers focusing on complementary aspects of the empirical knowledge city 6) Migrant knowledge workers: an empirical study of global Sydney as a knowledge city Tan Yigitcanlar (Paper 1: Benchmarking the performance of global and emerging knowledge knowledge-based urban development and knowledge city transformation. knowledge cities: empirical evidence of innovation award competitions in Finland) deal with Richard Hu (Paper 6: Migrant knowledge workers: an empirical study of global Sydney as concepts, applications and trends of knowledge-based urban development. Melbourne''s knowledge-based urban development experience, Cities 25(2): 63-72. Planning for knowledge-based development: global perspectives, J. Position paper: redefining knowledge-based urban development, Int. Benchmarking knowledge-based urban development work_skrvzqpikvdw5f7sksbktmh32u In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. paper, the GA optimizes simultaneously the connection weights between layers and a selection task for relevant instances. In addition, genetically selected instances shorten the learning time approach is a promising method for instance selection in ANN. Keywords: Instance selection; Genetic algorithms; Artificial neural networks; Financial forecasting selection for the instance-based learning algorithm. there are few studies on instance selection for ANN. bits are instance selection codes for the training data. the selected instances within the training data. Step 0 Initialize the populations (the connection weights between layers and the codes for instance selection). (Fitness function: Average predictive accuracy on the selected instances within the training data) instance selection codes for the training data. accuracy of the selected instances within the training data to patterns of the stock market data from the selected instances work_slbvbdfjyzhnfkl3t2tfdiqp7a paper proposes a data analysis framework based on a multiple-level clustering technique to identify the examination pathways commonly followed by Keywords: data mining, cluster analysis, patient examination history, a large collection of raw examination data, the framework allows the identification of clusters containing patients with a similar examination history. The multiple-level strategy adopted in this study exploits the DBSCAN algorithm to select the dataset part analyzed at each iteration and locally cluster The proposed framework to analyse the patient examination history contains four main steps: (i) data collection, (ii) data transformation, (iii) cluster Figure 1: The proposed framework for the cluster analysis of patient examination data the similarity between patient examination histories, while Section 4.2.2 describes how the DBSCAN parameters and the number of clustering levels Second-level clusters collect patients that are tested using an increasing number of examinations to work_snfq2jntf5aybdqtyr56uz5n64 Effective Features to Classify Skin Lesions in Dermoscopic images Features such as shape and color are indispensable to determine whether a skin lesion is Keywords Skin lesion; melanoma; ABCD rule; shape features; color features; feature To measure the shape of a skin lesion, the following six features were adopted to reflect used for classification, and the combinations of shape (color) features were searched to achieved by a set of three color features: mean of 𝑎∗ and mean of 𝑏∗ inside the skin lesion the set of color features included: mean lightness of skin lesion (L8), lightness difference indicated in Table 3, and 472,392 classifications for each of the nine sets of shape features. accuracy for Comb 2; and for the second set of color features referred to in Table 3, the images show that the shape and color features with the highest frequencies in this phase work_so3kemvffbawlapikcxbap5khe co-regulated genes that show a similar expression patterns under a contiguous subset of experimental to be concerned with grouping genes that share similar expression patterns under a contiguous subset of In addition, to be considered a time-shifted similar pattern, because co-regulated genes in a biological process may show a periodic pattern in their cell cycle expression, we also should group genes with periodic similar patterns over In addition, when considering time-lagged similarity of expression patterns between genes, it is necessary to consider biclusters with coherent values for both the rows and cell cycle process, therefore it is useful to find periodically regulated genes with similar periodic patterns of expression. An expert system to identify co-regulated gene groups from time-lagged gene clusters using cell cycle expression data An expert system to identify co-regulated gene groups from time-lagged gene clusters using cell cycle expression data work_spcnckclmje4doh62z7nmj5udq Our target was to develop an expert system to help petroleum engineers in selecting the most suitable multiphase flow correlation in the absence of measured flowing pressure. correlation in each data sub-cluster so the engineer would expect the accuracy of pressure drop prediction when utilizing this Over the entire database, if one multiphase flow correlation is selected, the overall mean absolute percent error ranges between 12.7 and 57.5%, while the range of errors for best correlation(s) in different data sub-clusters range from Use of the expert system in the validation database gave a mean absolute percent error of 8.8%. Table 4 Sub-clusters reference number and data points for oil wells Table 7 shows the error results for the expert system prediction over the 144 points (whether the predicted correlation Development of an expert system for selection of multiphase flow correlations Development of an expert system for selection of multiphase flow correlations work_spfqxtkldncvxmsrx42a4dmkwy Knowledge representation by fuzzy windows is substantiated by findings in Backward Chaining with Fuzzy Goals and Rules This paper describes a knowledge engine that employs a backward-chaining control structure that is generalized to fuzzy variables and rules. linguistic variable processing systems developed by the authors that employ fuzzy linguistic variables and fuzzy logic in their data and rules. A New Concept of Fuzzy Rule-Based Expert Systems The concept of fuzzy rule-based expert systems based on soft (interactive) rather than (more complex forms of fuzzy rules can easily be represented using the suggested base system is used to develop a forward fuzzy-fired rule-based expert system shell, searching algorithm for fuzzy graphs that finds the shortest path. The problem of the influence of constructional parameters in a fuzzy model on the accuracy of process description in terms of fuzzy relations is considered. the fuzzy model is considered. work_spr26jzvmfeyxlyrt3lp6um3ly there are a number of ontology metric proposals described in the literature, there is a lack of empirical studies that provide a basis for their a need to carry out exploratory studies that could eventually result in insights about the metrics applicable to different kinds of ontologies and their This paper reports on on such an exploratory study, carried out by measuring a large set of OWL ontologies obtained from the Swoogle repository together with a measure of their popularity using Ontorank [2]. Several authors have proposed metrics related to ontologies or adapted on metrics to measure the cohesion in ontologies such as the number of root We also developed an open source framework to extract the OWL ontology metrics called OntoMetrics. this framework to collect metrics from a large number of ontologies together In order to empirically analyse the relationships between the previously defined metrics (Section 2), we downloaded around 1,500 ontologies defined in work_spv2h432ejh57fu6rif6mlqq34 This paper compares machine learning techniques for detecting malicious webpages. Black list is a list of webpages which are classified as malicious from a user''s point of Please note that K-Means and Affinity Propagation have not been applied to detection of malicious webpages by other researchers. as content, URL and screenshot of webpages were extracted to feed into the machine learning models. utilized machine learning to detect malicious webpages. detect malicious webpages from URL features. supervised machine learning techniques such as Naive Bayes Classifier, K-Nearest Neighbor and Support Vector Machine, and two Results of comparisons of supervised machine learning models that detect malicious malicious to safe webpages is the same in testing as well as training for the supervised machine learning models. Visual representation of unsupervised learning models demonstrating clear separations of malicious and safe webpages. Comparisons of machine learning techniques for detecting malicious webpages Comparisons of machine learning techniques for detecting malicious webpages work_stictr4ivbbi5b6acnnworse3y In this paper we investigate the most simple action-based troubleshooting scenario with a single extension: the overall system test is not The algorithm recursively generates all possible sequences of compound actions. Furthermore, we also give examples showing that none of the algorithms are guaranteed to find an optimal troubleshooting sequence. troubleshooting sequence and form compound actions by repeated application of Theorem 4. Algorithm 2 Computing sequence with compound actions greedily Unfortunately, Algorithm 5 is not guaranteed to find an optimal troubleshooting sequence, as the following example shows. Algorithm 4 Optimal Partition into Compound Actions Algorithm 8 Compound Action Sequence with Optimized Partition Algorithm 8 Compound Action Sequence with Optimized Partition the algorithm is not guaranteed to find optimal troubleshooting sequences. the algorithm is not guaranteed to find optimal troubleshooting sequences. Algorithm 5 and 8 find an optimal troubleshooting sequence in nonreorderable models. optimal sequence consists of only one compound action. work_suomniwtjnb2nj44i7xi7rkjou [PDF] Ergonomic risk assessment based on a Bayesian-optimised expert system | Semantic Scholar Corpus ID: 12309252Ergonomic risk assessment based on a Bayesian-optimised expert system title={Ergonomic risk assessment based on a Bayesian-optimised expert system}, author={Chris Dansie and R. International Journal of Human Factors Modelling and Simulation Improper application of an ergonomic analysis tool increases the likelihood of high-risk jobs not being detected, thus jeopardising worker''s health. Figures and Tables from this paper View All 9 Figures & Tables Citation Type Citation Type Sort by Most Influenced Papers Sort by Citation Count Engineering, Medicine View 1 excerpt, references methods View 1 excerpt, references methods Figures and Tables Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License work_swz3plmhirdarmagm3xemu65iu About Welcome to the webpage of the NSF Operations Engineering (OE) Program Workshop on Decision Analytics for Dynamic Policing. This proposed workshop on decision analytics for dynamic policing organized local teams of police departments (PDs) and academics with expertise in DA/OR and criminal justice (CJ) to build a cross-disciplinary understanding of policing challenges that may be addressable by DA/OR. Towards filling this gap, the workshop identified and recommended new directions for research in DA/OR to develop methods for policing that are cost-effective, consider social influences, identify the appropriate data, address the dynamic nature of policing, and utilize existing knowledge from PD/CJ expertise. Create processes that facilitate research partnerships between DA/OR, CJ, and PDs to encourage the development of DA/OR methods for dynamic policing systems. Identify critical research themes in dynamic policing that may be studied using DA/OR. 2019 NSF Workshop on Decision Analysis for Dynamic Policing Program (PDF) work_szd4dqbzvvhetfefbpab6uyo5y The development of an intelligent tutoring system on design of liquid retaining structures attempt has been made to apply this intelligent system to the design of liquid retaining structures. assist engineers in the preliminary design of liquid retaining structures. The development of a prototype KBS for the design of liquid retaining structures develop a KBS prototype that has the ability to assist engineers in the design of liquid retaining structures and to provide expert advice to the user in selection of design criteria, design parameters and retaining structures (LIQUID), using blackboard architecture with hybrid knowledge representation KNOWLEDGE ON DESIGN OF LIQUID RETAINING STRUCTURES most of these structures are constructed using reinforced concrete with design life of 50 years. To facilitate development of the knowledge-based system, expert system shell containing specific optimum structural section in term of minimum unit cost per meter length, based on the standard slab work_t2jhwiqqivhbpcpzotx2ebh3xm in particular neural networks, can be applied for time-to-event prediction. In this paper, we propose new ways to apply neural networks to survival data. Thomas A Gerds, Michael W Kattan, Martin Schumacher, and Changhong Yu. Estimating a time-dependent concordance index for survival prediction models (2017) proposed methods similar to DeepSurv, but with an additional set of discrete outputs for survival predictions and computed an isotonic regression loss over this time grid. Time-to-Event Prediction with Neural Networks and Cox Regression Time-to-Event Prediction with Neural Networks and Cox Regression Time-to-Event Prediction with Neural Networks and Cox Regression Time-to-Event Prediction with Neural Networks and Cox Regression Time-to-Event Prediction with Neural Networks and Cox Regression Time-to-Event Prediction with Neural Networks and Cox Regression Time-to-Event Prediction with Neural Networks and Cox Regression Time-to-Event Prediction with Neural Networks and Cox Regression Time-to-Event Prediction with Neural Networks and Cox Regression Time-to-Event Prediction with Neural Networks and Cox Regression work_t34rnly4tjhlhedbnoeq53nhwe COMEX: A Cost Management Expert System COMEX: A Cost Management Expert System generated using the Activity Based Costing method, accounting method based on activities, created to improve cost management Keywords: Expert system, Cost Management System, ABC cost-generating activities related to its short-term objectives and longterm strategies. Activity-based costing (ABC) helps companies to work more describe the Activity-Based Costing (ABC) method. COMEX is a Cost Management Expert system developed to reducing costs for this activity brings savings and customer''s example, the typeOfCustomer slot from the Customer frame, Fig. 4, is knowledge base is the typeOfActivity slot in the Activity frame. After the user selects an activity, COMEX will typically ask a COMEX end users are ABC experts, accountants, managers, This result in COMEX activates the BillCostComLess rule (Fig. If we called COMEX a business rule management system improved by applying a new method for cost management and expert work_t3lalctekbfwxp26fbp3znzryi sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. 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Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_t3owubjwgbfqbksdvigm3wafcy تهران بهادار اوراق بورس در برتر هاي شركت ارزيابي. . هاي فازي استدار تهران، مدل تحليل پوششي دادههاي پذيرفته شده در بورس اوراق بها شركت 79 بورس اوراق بهادار تهران هاي بندي شركتارايه يك رويكرد جديد براي رتبه 79 بورس اوراق بهادار تهران هاي بندي شركتارايه يك رويكرد جديد براي رتبه 79 بورس اوراق بهادار تهران هاي بندي شركتارايه يك رويكرد جديد براي رتبه 79 بورس اوراق بهادار تهران هاي بندي شركتارايه يك رويكرد جديد براي رتبه 79 بورس اوراق بهادار تهران هاي بندي شركتارايه يك رويكرد جديد براي رتبه 79 بورس اوراق بهادار تهران هاي بندي شركتارايه يك رويكرد جديد براي رتبه 79 بورس اوراق بهادار تهران هاي بندي شركتارايه يك رويكرد جديد براي رتبه 79 بورس اوراق بهادار تهران هاي بندي شركتارايه يك رويكرد جديد براي رتبه بندي شركت برتر بورس را رتبه 50، 1388ماهه چهارم سال هاي سه اين پژوهش با استفاده از داده work_t5napb5vujdv7i5alyacc3dtoy In this paper, we discuss the design of an Expert System (ES) that supports decision making in a Local Plannmg System (LPS) At each level, a set of different algorithms and heuristics is available to anticipate planning and scheduling conditions and, based on this evaluation, advising the use of a specific algorithm, and evaluatmg the The Expert System is rule-based while knowledge (structure) and data are separated (which makes the ES more flexible m helpful, in particular to evaluate specific working conditions, to suggest planning and scheduling algorithms and to judge the final results. The LPS-Expert system combination has been evaluated in four different situations. The expert system should support the decision making in selecting algorithms on different levels. to the specific expert system structure developed for the LPS environment. In 2 cases the expert system advised to return to the LPS-planning level for a complete work_t67ptrnx25bcdnze7t352dhoqm paper examines the use of an expert system as an appropriate means of meeting the requirements of creating an innovation strategy. Innovation strategy, we understand the sources of innovative opportunities, skills, knowledge, experience, invention and innovation, the firm available, or is unable to obtain in time. The core system (knowledge base, data base, working memory, and stack mechanism inference appropriate solutions), companies for the deployment and use of innovative marketing strategies on the base of the The basic precondition for the successful operation of the proposed expert system is the existence of actual knowledge base module and the module data base. keters who use the knowledge gained in the evaluation of inventions and innovative opportunities in the implementation analysis to create an innovation strategy. Managers and marketers obtain the necessary justification for the final solution in the form of the chosen innovation strategy. Our aim was to develop a proposal for a comprehensive expert system for creating an innovation strategy. work_t7so4ijv25bp7oqfwv76o4tfdy MediExpert: An Expert System based on Differential In this paper, we present MediExpert, an expert system targeting on continuous education of health diagnosis, employs ontologies for effective classification of health related problems and intelligent algorithms to enhance for enabling decision support and education on diagnosis. ISABEL is a web-based clinical decision support system uses effectively the knowledge of experts for diagnosis. the differential diagnosis of cough is shown in Table 1. Step 2: Then, follow diagnosis by processing the Diagnosis = (Condition, ICD-10_code, Diagnostic to the student a list of symptoms of a specific condition. diagnosis rules, through a nice user interface and it can be MediExpert: An Expert System based on Differential Diagnosis focusing on Educational Purposes MediExpert: An Expert System based on Differential Diagnosis focusing on Educational Purposes MediExpert: An Expert System based on Differential Diagnosis focusing on Educational Purposes MediExpert: An Expert System based on Differential Diagnosis focusing on Educational Purposes work_t7v3a7qghfb3da5qeckzj34ji4 Mr. Edmunds has produced a broad introduction to expert systems, designed field is changing, Edmunds has succeeded to a creditable extent; the book should Edmunds begins in Chapter 1 with some examples to whet the readers'' appetite, and a brief overview of the subject. and that expert systems can provide a competitive edge in this area; it also Chapters 3 through 7 provide the technical heart of the book, discussing the components of an expert system, the process of "knowledge engineering", the insight into the problem of buying an expert system, discussing programming For example, Edmunds discusses the development process by laying out the steps in a conventional software proj entire field, in an objective and informative way; managers considering contracting for an expert system will no doubt find these sections particularly For example, the discussion The expert systems presented in the book are work_ta5im6f32vgy3kyfnqnenznrry In this work, we discuss the use of texture descriptors to perform writer verification and identification. such as the impact of the number of references used for verification and identification, how the framework performs on the problem of writer identification, and how the dissimilarity-based approach compares to other feature-based strategies. of comprehensive experiments, we show that both LBPand LPQ-based classifiers are able to surpass previous results reported in the literature for the verification problem by about 5 percentage points. In Fig. 5a, Va, Vb, and Vc are the reference feature vectors extracted from the reference images (e.g. texture segments) for a given writer. The results for writer verification on the IAM database using different fusion rules Evolution of the number of texture images for identification – IAM database (R = 9). Texture-based descriptors for writer identification and verification Texture-based descriptors for writer identification and verification Texture-based descriptors for writer identification and verification work_tam6owliffd2bjszksxq5j5cvy Diagnosis Heart Disease Using Mamdani Fuzzy This article proposed Diagnosis Heart Disease using Mamdani Fuzzy Inference (DHD-MFI) based expert system which intelligently diagnoses heart disease. has taken six conducive variables for the purpose of fuzzy logic technical enhancement in the diagnosis of heart disease. input fields comprise of age, chest pain, electrocardiography, blood pressure systolic, diabetic and cholesterol are early detection of heart disease based on the fuzzy soft set The proposed Diagnosis Heart Disease-Mamdani Fuzzy Pain is Non-Cardiac AND ECG is STDiagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System Diagnosis Heart Disease-MFI expert system can be proposed Diagnosis Heart Disease-MFI expert system is proposed Diagnosis Heart Disease-MFI expert system is The precision of the proposed Diagnosis Heart DiseaseMamdani Fuzzy Inference expert system is 94%. Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System work_tdnnq4nh5ncl5ivyaa77h3ysoq Title: A new approach to particle swarm optimization algorithm These studies concern the particle swarm optimization algorithm as Keywords: Co-evolutionary systems, PSO algorithm, predator-prey Adaptation mechanisms make these algorithms more efficient than a completely random search of solution space. metaphors in the group of immune algorithms and particle swarm optimization defined in the particle swarm optimization algorithm. different in each group of algorithms and the functions creating co-evolution can It is a predator-prey algorithm, that illustrates the example of the The proposed algorithm shows cooperation of two systems of particles: predators and their prey. The reduction of predators is an indicator of local extrema exploitation and the mechanism of the solution space exploration (cluster of the designation of global extreme of test functions in relation to certain algorithms of optimization. Xu, Particle swarm algorithm with hybrid mutation strategy, clustering by predator prey particle swarm optimization, in: IEEE Congress work_tdsdaz6vbfaqblkxi3toiegswq In this context, it is important to correctly classify the questions to be presented to students according to their difficulty level. Therefore, a specific solution has been designed in order to determine the difficulty level of open questions in This paper discusses the validity of an expert system that automatically estimates the difficulty level of the questions posed in & Rijt, 2006) question the ability of teachers to make accurate difficulty level estimations of learning material since teachers usually of rules assumes a predefined set of fuzzy membership functions generated by human domain experts (Cordón, 2004). the initial difficulty level estimated by the teacher, it learns both the fuzzy expert system infers the difficulty level of each question. A genetic fuzzy expert system for automatic question classification in a competitive learning environment A genetic fuzzy expert system for automatic question classification in a competitive learning environment work_te23qoqhl5dx5nrldisibugyha A hybrid model for business process event and outcome prediction A hybrid model for business process event and outcome Markov models both with an added component based on sequence alignment. features of the data to predict the process next steps using higher order Markov models and the process outcomes using sequence alignment The diversity aspect of the data is also added by considering subsets of similar process sequences based on k nearest neighbours. Firstly, in order to predict process events, we consider of event sequences, we use the edit distance in the process of sequence alignment in Markov models but do not use examples of process prediction models, namely Markov transition states of different order Markov models, after combining higher order Markov models with a sequence When a higher order Markov model is employed to predict case of the transition matrix of a third order Markov model work_te3lxb5txberbfhhmt7funqfuy The purpose of this paper is to present the prac cal applica on of an expert system that supports the process of mana‐ Using the expert system described in the paper reduces the me during the design and produc on prepara on process. AN EXPERT SYSTEM FOR SUPPORTING THE PRODUCTION OF PLEASURE BOATS ves are expert systems that can successfully support work An addi onal advantage of expert systems is the ease of THE PRODUCTION PROCESS OF THE EXPERT SYSTEM Key words: expert systems, informa on technologies, produc on of yacht to access the human expert''s knowledge and experience User can get addi onal explana ons from the expert PERZYK ‐ An expert system for suppor ng the produc on of pleasure boats PERZYK ‐ An expert system for suppor ng the produc on of pleasure boats PERZYK ‐ An expert system for suppor ng the produc on of pleasure boats work_tgelto4n6zhcrhbncjs6tjthfa Giuseppina Gini Giuseppina Gini Associate professor Dipartimento Elettronica, Informazione e Bioingegneria , Politecnico di Milano , piazza L. da Vinci 32, I-20133 MILANO Biographical sketch to the same page in Italian List of publications (a few to download) Research Robotics and AI Focus on humanoid robotics Focus on e_science Teaching and tutoring SARpy for chemoinformatics poliGMDH neural net Software download: Software download: Software download: IReNNS structure learning networks EU projects: http://www.vega-qsar.eu http://www.life-prosil.eu http://www.caleidos-life.eu http://www.antares-life.eu Member EUCOG II Gini L. Quartarone please send your comments to giuseppina.gini@polimi.it work_tgesidkd55afvnhcxpgtueo52e Intelligent impact assessment of HRM to the shareholder value Intelligent impact assessment of HRM to the shareholder value University of Aegean, Department of Financial and Management Engineering, 31, Fostini Street, Chios 82 100, Greece Despite the extensive research in human capital management and performance measurement, intelligent treasoning mechanisms, which integrate human resource (HR) practices into strategic-level shareholder decisions, are still emerging. approach of designing a decision-modeling tool, which assesses the impact of contemporary human resource management (HRM) practices to the shareholder value and satisfaction. Human resource management (HRM) in the literature to establish a ''''soft computing'''' approach on how to interrelate HRM activities and shareholder value. It presents an intelligent decision-making framework for strategic-level HRM based department, change management leaders, business strategy to HRM modeling and Section 5 discusses the major advantages of the proposed tool. Strategic human resource management addresses a number of key issues. work_tglq5qrusrcgjpwp4hvipqaeqa Keywords: Agent-based commerce, Norms, Commitment delegation, Diagnosis, Computational logic whereby a new agent, in this case UPS (delegatee), commits to Amazon to carrying out the delivery (delegandum). observations of the participating agents (Kafalı & Torroni, 2012), or (iii) an improper delegation where a commitment presented in (Kafalı & Torroni, 2011) with deadlines for antecedents of commitments; (ii) an exhaustive list of multiagent commitment delegation schemes; and (iii) a complete implementation of the diagnosis procedure in the Reactive The purpose of monitoring is to identify all the exceptions (e.g., improper delegations) among agents'' commitments at a given time of observation, considering the available knowledge. By rule L1, if the agent identifies any improper delegations of the currently monitored commitment Cm via We have presented a commitment-based approach to support automated reasoning in expert systems, where intelligent agents employ distributed monitoring and diagnosis to resolve exceptions caused by commitment delegations. work_tiiluctv7ndclmyslqke6472ay Path relinking for the fixed spectrum frequency assignment problem Path relinking for the fixed spectrum frequency assignment Titre Path relinking for the fixed spectrum frequency assignment problem publication Article de revue Type Article scientifique dans une revue à comité de lecture Langue Anglais revue Expert Systems with Applications anglais The fixed spectrum frequency assignment problem (FS-FAP) is a highly relevant This paper presents the first path relinking population diversity. To show the effectiveness of the proposed approach, we present computational results on the set of 42 benchmark instances commonly for 19 instances, we demonstrate the effectiveness of the proposed PR approach. We investigate the impact of the relinking operators and the population updating The ideas of the proposed could be applicable to other frequency notice http://okina.univ-angers.fr/publications/ua7075 [3] Lien vers le document http://dx.doi.org/10.1016/j.eswa.2015.01.025 [4] Liens Publié sur Okina (http://okina.univ-angers.fr) http://okina.univ-angers.fr/publications?f[author]=25597 http://okina.univ-angers.fr/publications?f[author]=25597 http://okina.univ-angers.fr/jinkao.hao/publications http://okina.univ-angers.fr/jinkao.hao/publications http://okina.univ-angers.fr/publications/ua7075 http://okina.univ-angers.fr/publications/ua7075 http://dx.doi.org/10.1016/j.eswa.2015.01.025 http://dx.doi.org/10.1016/j.eswa.2015.01.025 http://dx.doi.org/10.1016/j.eswa.2015.01.025 http://okina.univ-angers.fr work_tlnnymyub5cjpn4mlig4sao3fu Secure communication for electronic business applications in mobile agent networks several appropriate security schemes for protecting mobile agent networks in electronic business applications. As far as mobile agent security is concerned, we develop a proxy signature scheme for protecting The proposed proxy signature scheme can protect users'' private keys stored in smart cards, and provide the fairness of contracts signed by agents. Hence, we affirm that the proposed security schemes are suitable for practical electronic business applications in mobile-agent-based network environments. against malicious agent hosts using the proposed ECC-based selfcertified public key cryptosystem. scheme can protect users'' private keys stored in smart cards, and we implement the proposed security schemes for protecting Linux-based mobile agent networks in an electronic auction 3. Security schemes for protecting mobile agent networks In this section, we first develop an efficient public key cryptosystems, and then several security schemes constructed using it work_tmca7pcswbd2zjvxcp6yg3azbi Many knowledge acquisition methodologies have been proposed to elicit rules systematically with embedded meaning from domain For experts to sense the occurrence of new variants and revise the original rule base, to collect sufficient relevant information these new modified objects, the variants, from the way that the existing knowledge based system fails in applying some rules with low EMCUD is a knowledge acquisition system which relies on the repertory grids technique to manage object/attribute-values tables and to produce inferences rules from these tables. (EMCUD), one of a repertory grid based knowledge acquisition tools, was proposed to elicit the embedded meanings proposed to learn new variant objects based upon monitoring the inference behaviors of weak embedded rules. Consequently, the new variants acquisition table based on the discovered knowledge could be generated by interacting with domain experts through the new At the knowledge learning stage, the new variants acquisition table will be generated through interacting with work_tmfrcdzitzaspbglkw5e3ppzcy shopping environments do not consider product greenness in their recommender systems or other shopping tools. This paper aims to propose the use of recommender systems to aid the green shopping process and to promote green consumerism basing upon the benefits of recommender systems and a compliance consumerism; the second part describes the proposed recommender system architecture using green The proposed architecture provides a capable platform for personalized green marketing by offering customers shopping advices tailored to their preferences and for the This research proposes using recommender systems, in addition to these methods, as a means to educate and inform on-line customers. Based upon what they have purchased before, a recommender system can help the customers by filtering out items that are unlikely information filtering and candidate expansion, recommender systems can be transformed into a green product advocate informing be first recommended to a user who is reluctant to buy green products. work_tnbeadapefeuvbnzlzj3nzxv5a Data Quality Assessment of Maintenance Reporting Procedures To address this Multi-Criteria Decision Making (MCDM) problem, and since data quality is company branch offices in terms of maintenance reporting quality. products, processes and services requires the collection and analysis of data to solve quality-related problems (Li et al., 2015; Köksal et al., 2011). developed an AHP-based outsourcing service selection model considering maintenance-related criteria. The only paper that integrates a data quality criterion is (Van & Pintelon, 2014), where the authors measure the "accuracy" of maintenance report The research methodology used in this study for determining what data quality dimensions must be integrated to our model (in light of the MRQA problem) is presented in this section. Figure 2: Stages composing the maintenance reporting quality assessment framework Figure 3: AHP structure of the maintenance reporting quality assessment process assess/rank company branch offices in terms of maintenance reporting quality. on-site maintenance reporting quality score (e.g., work_torjayyuybdkzi4lzfzfope36m Net structures were produced by replacing the static die (spinneret) with two concentric dies (consisting of slots) rotating in opposite directions in a melt extrusion process. structures and filaments were produced from a square die slot shape. filaments were produced from the corresponding static square die slot using a laboratory melt the filament cross-sectional area and its shape to be characterised with regard to the die slot Keywords: Die slot, Expert system, Filament, Land length, Melt extrusion, Net Furthermore, in rotating die systems, product development has required an iterative process in the development of new dies. filament for square die-slot structures. were produced based on a static single-square slot die rotation on the filament shape within the net structure. 4 Area model for static square die slot 5 Area model for rotating square die slot 9 Effect of die rotation on the filament shape 9 Effect of die rotation on the filament shape work_tpfrk7xqvngs7h5t7mqmquu5eu Bank credit authorization using fuzzy expert system Bank credit authorization using fuzzy expert system important information as growth in sales, return to stockholders, profit margins, return on equity and credit risks. can be combined, analyzed and used by fuzzy expert systems to support many important financial decisions in credit analysis and stockholders, profit margins, return on equity and credit risk are measures of economic and financial performance shown the credit analysis and authorization depend on many factors and it is characterized by risky and uncertain credit analyzer to make decision, must possess professionalism, wide knowledge about problem domain. analysis the main factors that are dominant in credit assignment have been determined. repayment, ability to manage, and credit risk depends on many factors. business stability of client, number of missed credit payments, asset/debt ratio, bond rating. In the developed ES using results of credit analysis the knowledge base is created. work_tqp5gog4djcedc2l5b34qfaawa U radu je opisan EMEXS ekspertski sistem, Energy Management Expert System), koji organizacije Ekspertski sistem je strukturiran kroz nivoe zrelosti, Ekspertski sistem EMEXS se sastoji od tri Slika 1 Struktura ekspertskog sistema EMEXS Dostupno na: http://certificationeurope.com/benefits-of-isoDostupno na: https://help.leonardo-energy.org/hc/en-us/articles/https://www.bsigroup.com/en-GB/iso-50001-energymanagement/ Dostupno na: https://www.energy.gov/ISO Quality Services [Internet]. study of a bakery in Germany, Energy Conversion and Management, Vol. 44, No. 6, pp. Dostupno na: https://www.biznis-akademija.com/motivacijaucinak-i-nagradjivanje-zaposlenih ISO 50004:2014 Energy management systems Guidance for Dostupno na: http://dnnextension.com/Services/DNNDocument-Management-System ISO 50015:2014 Energy management systems Measurement ISO 50001:2011 Energy Management Systems Requirements Energy management in industry a systematic review Dostupno na: https://www.iso.org/theiso-survey.html analysis of industrial energy management systems in Real-time monitoring and evaluation of energy efficiency and thermal management of data centers, Journal of Manufacturing Systems, Vol. 37, pp. Development of a web based energy management ENERGY MANAGEMENT EXPERT SYSTEM (EMEXS) PROPOSAL OF COMPUTER This paper proposes an energy management work_tsqqejrexfc3jaosibziha4c5i Towards an Expert System for Powder Production Processes : process, such as atomization, in relation to certain required powder''s process parameter on the powder characteristics, and models and makes the relations among powder characteristics and the production process of the process in relation to certain required powder characteristics. each of the production process parameters on the powder characteristics, and to illustrate how to relate available process parameters to the powder system assumed that, each powder characteristics-process parameters relation is which relates each powder characteristics and the proper process parameters. atomization process, particularly, has many parameters related to; (i) The melt, 1. The relational process parameters affecting the primary characteristics. parameters which affect the related powder characteristics. Also, there is a base table for each process to relate its parameters to the are affected by the related parameters of the powder production process. characteristics and the powder production process parameters is defined. work_ttlctb3rwvgmhijg7efaku343i sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. 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Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_tu23zpv7fjcfnaq36nzqczn22i The simple production rule representation is generalized by adding p r o g r a m s to a methodology, a single generalized rule can represent a group o f simple ones. advantages o f the reduction m e t h o d o l o g y over the simple rule representation. prolog, decision tables, relational databases, medical diagnosis Much recent research focuses on computer systems that facilitate methodologies simulating experts'' knowledge-based decision-making strategies (see, for observations and any 3 o f them (existing simultaneously) establish the diagnosis. 1. The single if-then statement is re-expressed as a set o f simple rules. Although the reduction methodology for differential diagnosis expert systems diagnostic problem, an extended form o f rule, the management program is designed to generate a set o f simple rules or employ the reduction methodology Reduction Algorithm in Expert Diagnosis 139 Reduction Algorithm in Expert Diagnosis 139 work_tuincs53g5djxid6hkzpbfseya of Sewage Treatment Based Process Abstract: This article puts forward a solution in which an instrument on-line automatic measurement and expert monitoring instruments and sensor probes are set in the reaction tanks according to the needs of process changes The data information acquired can be displayed and recorded at the real time. Keywords: Data acquisition, Expert system, On-line measurement, Process management, Sewage treatment conducted on the sewage treatment process with through the data acquisition on the sewage tanks so as acquisition is the water quality information obtained water quality sensors from the different sewage tanks conduct the real time monitoring the sewage treatment the sewage treatment process as shown in Fig. 2. The acquisition of other water quality parameters sewage treatment tank can be obtained as shown in treatment process, thus to design the expert system Read the water quality data article put forward the sewage treatment process work_tuo4bsb5qnfzfmkqa3xrh6hvwu Measuring progressive change in people''s activities is a subject of research interest in the machine learning community and has recently attracted more attention (Mahmoud et al., 2014) (Wang et al., 2018) (Nweke trend analysis techniques that can be applied to human behaviour activities extracted from intelligent environments. To represent human behaviour evolution through a simple measure requires some method of combining different types of data. In this research, we investigated whether the use of trend analysis techniques to smooth data gives better results when interpreting human behaviour. data sets used for this research are collected from within intelligent environments equipped with some sensors to measure indoor activities of an occupant. To demonstrate the holistic view of the monitored person''s activity status based on the sensor network measurement, the data sets monitored person''s activity status based on the sensor network measurements, the data set is represented in separate groups. work_twk2q7jfhngdtbzulmfas2oc7e based projects and large expert systems. time, expert systems are arguably the most commercially successful product paper presents a prescriptive guide for managing large scale expert systems experts systems in general, and of the building process is provided by The resultant SA&D process for expert systems is Criteria for tasks well suited for expert systems For both traditional and expert systems, the inception stage produces a study.) For expert systems, successful campletion of the inception stage knowledge engineers, domain experts, programmers, hardware, For expert systems, some analysis, design and detailing of these systems work in knowledge intensive areas, and problem solving Unfortunately the knowledge encapsulated in expert systems cannot be updated Expert systems are a means of managing the project team, evaluating resouw=es, and developing the pilot (prototype) The project team proposed that the system be evaluated during test Systems Analysis and Design: Contrasting Traditional and EXpert work_tx2wszrrlzbyhcn3vjiblxod4y Therefore, it is difficult to predict micrometeorological data accurately with low computational complexity even if state-of-the-art machine learning easily, SW-SVR builds several SVRs specialized for each representative data group in various natural environments, such as different seasons and climates, and changes weights to aggregate the SVRs dynamically To predict micrometeorological data effectively, a number of reearchers have studied machine learning ( Smith, Hoogenboom, & non-linear relationships, SVMs have also been applied to micrometeorological data prediction ( Antonanzas, Urraca, Martinezde-Pison, & Antonanzas-Torres, 2015; Mohammadi, Shamshirband, We propose a new methodology for predicting micrometeorological data, sliding window-based support vector regression, combining methodologies of SVR and ensemble learning. SVRs are built based on D-SDC that extracts effective data for specific data prediction by taking account of movements: changes of Sliding window-based support vector regression for predicting micrometeorological data Sliding window-based support vector regression for predicting micrometeorological data work_txjggjbpvjgfvcf7orekdbf6o4 Semantics and Consistency of Rule-based Expert Systems Semantics and Consistency of Rule-based Expert Systems many-sorted predicate logic and is sufficiently rich to capture an interesting class of rule-based expert systems and deductive databases. rule-based expert systems, but the techniques can also be applied to deductive databases with functional dependencies. The interpretation of the knowledge in rule-based expert systems is more operational than declarative: same is true if and only if occurs as fact (with certainty factor > 0.2), In Section 3 we shall characterize expert systems as many-sorted theories of a certain type. Subdividing a set of constants into sorts and typing the predicate and function symbols considerably 3. RULE-BASED ExPERT SYSTEMS AS MANY-SORTED THEORIES Let EQ denote the set of equality axioms for all sorts 11, then we have by consistency problem of indexed propositional expert systems, all whose explicit axioms are Hom BEZEM, Consistency of rule-based expert systems. work_txvr4bsdxfcjpe4icgjngqo7la Keywords: multivariate time series, principal component analysis, dynamic time warping, The similarity of multivariate time series can be approached from two different application for comparing correlated multivariate time series is often not as In this paper the problem of creating similarity measures for multivariate time warping method which is based on the correlation of variables and uses principal background of the proposed similarity measure, i.e. dynamic time warping, techniques on verification databases widely used by the time series data mining To find the optimal warping path (the DTW distance of the two time series), every The distance measures used in PCA based segmentation correlation based dynamic time warping of multivariate time series. • Segment the time series of the given database by correlation to create the This is an ideal dataset for correlation based multivariate time warping The paper presented a new similarity measure for multivariate time series by work_tz77goofobcfnnvng4gkkwvpjq Abstract—Quay crane scheduling problem (QCSP) is the problem of the allocation of quay cranes to handle the This paper will propose a modified genetic algorithm combined for the quay cranes that subsequently process tasks in the Modified Genetic Algorithm and Priority Rules Approach quay cranes to handle the unloading and loading tasks, Illustration of priority rules for assigning QC''s to task. the quay crane at the new checking time (To track the Iter 12 Only crane 2 available at checking time and can handle task 6, then it to QC2 156 3 160 5 156 time of the assigned quay crane. quay crane scheduling models and algorithms," Computers & method for the crane scheduling problem," Transportation Research Laporte, "A branchand-cut algorithm for the quay crane scheduling problem in a crane scheduling problems in container terminals," European Journal algorithm for solving the quay crane scheduling problem," Expert generator for quay crane scheduling problems. work_u2ztrkxxu5cspbri4ek4xp45fm SHYSTER is a case-based legal expert system (although it has been designed SHYSTER is of a general design: it can provide advice in areas of case law to provide advice in areas of case law that have been specified by a legal expert gives advice in an area of case law specified by a legal expert. The use of this language to specify areas of case law for SHYSTER is illustrated SHYSTER assumes that all of the cases chosen by the legal expert are "good law." as attributes in one of SHYSTER''s case law specifications.32 a legal expert to specify areas of case law using a simple specification language. to test SHYSTER, and its approach to case law, four specifications were written. The legal expert advises that SHYSTER''s choice of cases, nearest neighbour legal expert agrees with SHYSTER''s choice of cases in the Affected area, and with work_u3dpwvocwvdsfhjouzguzxxfy4 In this special issue, we highlight two of data related terms: Knowledge Discovery The ''Knowledge Discovery and Business Intelligence'' (KDBI) thematic track associated with special ES journal issues, which included extended versions of the adequately with label ranking, which is useful in several real-world applications (e.g. modeling user preferences). trading actions; and easy to interpret tools are needed to better disclose the relationships among price variations from distinct financial products. Label Ranking Forests (LRF) algorithm uses an ensemble of decision tree methods second approach uses classification models that directly forecast the trading decision representation based on vector quantization coupled with discrete wavelet transform'', Muhammad Fuad (2016) proposes a novel KD algorithm for time series indexing and retrieval. analytics of educational time-dependent data using interactive dynamic visualization''. domain-specific language approach'', proposes the use of patterns to represent common ETL tasks (e.g. surrogate key pipelining or intensive data loading). His research interests include: Business Intelligence (Decision Support, work_u4xfxpixhzd43lprth3rqw7zce Computational predictive programs (expert systems) in a Istituto di Ricerche Farmacologiche ''Mario Negri'', Via Eritrea 62, 20157, Milano, Italy b Dipartimento di Elettronica e Informazione, Politecnico di Milano, 20133, Milano, Italy toxicological risk evaluation of these chemicals. been claimed to be able to predict toxicity of certain chemical structures. experts that compiled lists of toxic moieties — for instance in the case of programs called HazardExpert and DEREK — or relying on statistical approaches, as in the CASE and toxic activity of chemicals. Author Keywords: Toxicity; Expert systems; Artificial intelligence; Computer systems; Abbreviations: AI, artificial intelligence; CASE, Computer Automated Structure Evaluation Chemical Toxicity (a research program); DEREK, Deductive Estimation of Risk from Existing Knowledge (a commercial program); ES, expert systems; HazardExpert, a commercial program; MULTICASE, the improved version of CASE; NMR, nuclear magnetic resonance; NTP, National Toxicology Program (US); QSAR, quantitative structure-activity relationship; TOPKAT, Toxicity Prediction by Komputer Assisted Technology (a commercial work_u6foxozv3bft5ee3mg2kjkj444 work_uagodgrks5asbextfki5ymoq4a sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220997691 (wp-p1m-38.ebi.ac.uk) Time: 2021/04/06 03:05:42 If you need further help, please send an email to PMC. Include the information from the box above in your message. Otherwise, click on one of the following links to continue using PMC: Search the complete PMC archive. Browse the contents of a specific journal in PMC. Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_uayzfd3dtrgszgwrvrlzbzwrme In the questionnaire analysis, how to find a statistically significant difference between two or more groups in a continuous measure is The one is that the process of finding the statistically significant differences is highly dependent on researchers'' intuition and experience, and the other is that the original questionnaire data may not be good enough to find the In this paper, we build a data warehouse and a forward-chaining rule-base expert system with three kinds of indicators, Increase, StepDown, and Dice, for drilling down the data warehouse to assist researchers in exploring the data to select appropriate statistics methods to find possible significant differences. Keywords: Statistically significant difference; Expert system; Data warehousing; On-line analytic processing (OLAP) significant differences from the data and use their knowledge like rules to select the appropriate statistics methods issue is how to easily explore the full data to make hypotheses of the possible statistically significant differences. work_ubfy5jeaqnd6fdba2wjezdziky A customer satisfaction inventory model for supply chain integration A customer satisfaction inventory model for supply chain integration the probabilistic concepts of Markov chains of uncertainties in customer relationships of retention or development of the proposed customer satisfaction inventory CSI model are discussed in this paper. chains model of purchases states for a customer relationship (Pfeifer and Carraway, 2000) is shown in Fig. 1. incorporating Markov chains into the inventory model, customer relationships of retention and migration can be analyzed and evaluated in the inventory management of the supply chain. The structure of this paper is as follows: in Section 2, the proposed customer satisfaction inventory CSI model is defined and The proposed customer satisfaction inventory CSI model is an Markov chains of uncertainties in customer relationships of retention or migration into an inventory model, such that the customer Markov chains model of purchasing states for customer relationship. work_ubze5xpme5eohenrp77llb54aq A multilingual ontology framework for R&D project management systems A multilingual ontology framework for R&D project management systems presents an ontology-based methodology to the development of R&D project management systems with In particular, a multilingual ontology is proposed, which consists of domain model, The system supports three languages and facilitates R&D information sharing among users Information systems with multilingual support have been studied in several application domains, such as in medicine (Boyer, However, no multilingual terminology is currently available for R&D project management. ontology can facilitate knowledge sharing within a specific domain are designed to handle related knowledge in R&D project management. support the representation of multilingual information in R&D project management. For each language supported by the multilingual ontology, there is a correspondent linguistic model. For each supported language, the linguistic model defines management) there is one term expressed in a specific language corresponding to a concept, we can then define this work_uced2zdroneerhjtivs57rihci required to carry out the investigation using the hybrid of FTA, RBD, AHP, HoQ and the DMG tools. indirect causes of a failure event through the use of Reliability Engineering tools, Multi Criteria Decision & Collinson, 2006 ; and Jefcott, Pidgeon, Weyman, & Walls, 2006 ). This model utilises the reliabilty engineering tools of Fault Tree Analysis (FTA), Reliability Block model as it will focus on both direct and indirect causes of a failure with the use of a case study in which no lives were lost. f other basic events to the failure hence resulting in devising a soution to the critical causal factors only. Step 1 : Develop an FTA for the root causes of the failure event, From the AHP structure for direct causes we can notice that deising a solution for event 4(design errors) have to be given the work_ucw2yjhblnglzeroqfl72wyxny Suggested Citation: Prasad, Kanika; Chakraborty, Shankar (2015) : Development of a QFDbased expert system for CNC turning centre selection, Journal of Industrial Engineering Keywords CNC turning centre � Expert system � Multicriteria decision-making � Quality function deployment while selecting a CNC machine tool for a specific application. the CNC machine tool selection process. can aid in solving the CNC machine tool selection problem, avoiding human intervention and expertise. TOPSIS method-based machine tool selection model. solve a CNC machine tool selection problem in a real-time alternative CNC machine tools while considering 21 subjective evaluation criteria. QFD-based model to solve the machine tool selection relationship between customers'' requirements and technical specifications of CNC turning centres, it is observed Development of a QFD-based expert system for CNC turning centre selection Development of a QFD-based expert system for CNC turning centre selection Development of a QFD-based expert system for CNC turning centre selection work_ueiooy5b2nbznmxdh3opjkske4 The validation of Expert System Traffic psychological assessment to Romanian Driving Schools the previous research highlight that the Romanian driving schools should improve the psychological assessment batteries with Keywords: criterion validation, psychological assessment battery, time reaction, tachistoscope test, driving behavior.Introduction In traffic psychology psychologists are mainly interested in predicting driving behavior using abilities tests highlight the use of standardized tests in predictive validation of driving behavior (Ulleberg and Rundmo, 2003; Chaloupka, Grundler, Sommer, Häusler & Kaufmann (2008) presented the validation of two tests batteries of the Expert System Traffic using standardized driving tests artificial neural network in calculating the criterion validity. Cognitrone test and The Adaptive Matrix test are predictor variables for driving performances in traffic. For the criterion total performances in traffic, the following regression model has been applied (table 3): So, the test battery Expert System Traffic psychological assessment validity of traffic-psychological test batteries. A model of driving test battery validation. work_uewjv5lepbhp5nirtc27m6vj7m Business information extraction from semi-structured webpages Business information extraction from semi-structured webpages To protect online consumers, as OECD Guidelines recommend, Internet shopping malls should provide information about their business In Korea, The Consumer Protection Law in Electronic Commerce, forced Internet shopping malls to provide their Since most Korean Internet shopping malls provide consumers with business information in a semi-structured format on their homepages, a software agent can easily identify them. To investigate automatically the provision of the business information with the Internet shopping malls, this article proposes the methods of gathering URLs of Internet shopping malls, of monitoring alterations of webpages, and of extracting business information. Keywords: Electronic commerce; Internet shopping mall; Business information; Information extraction; Agent As we can see in the examples of BEST BUY Co., Inc. and LGeshop, while most Internet shopping malls in the US shopping malls provide their business information on the most Korean Internet shopping malls provide their business work_ufcw2a7d5rfhvjyra7j3cl3ejq This work proposes a new method for automatically identifying topologies of lines with one or more sections of line makeup (serial or bridge tap), the lengths of the line sections, and the corresponding cable type, pre-processing, S11.f / is analyzed in time domain, where important extracted features are interpreted through a system based on Bayesian networks for estimating the line topology. expert system proposed for automatically interpreting the signal features and obtaining an estimate of the line topology. Thus, the method was structured into three algorithms that estimate sequentially and, respectively, the following sets defined from the model established in Section 2 for the topology of a In order to evaluate the proposed wavelet-based expert system (WES) for line topology identification, a test set composed of measurements in twisted-pair copper cables was created . WES, wavelet-based expert system; SELT-tdr, single-ended line testing-time domain reflectometry. work_uhbwuojxfrhnjgyzt5yapiczx4 Discovering role-relevant process-views for disseminating The relationships among tasks, roles and operations, as specified in role-based access control systems, are used to evaluate the Next, a novel algorithm is proposed to generate automatically role-relevant process-views Formal definitions and the means of constructing an order-preserving process-view, as presented in (Liu A legal virtual activity in an orderpreserving process-view must follow three rules: membership, atomicity, and order preservation rules (Liu & Shen, (Virtual activity) For a base process relevance degree between each activity (task) and each role the relevance degrees of these operations, then the role-task process designers can evaluate role-task relevance based process-views based on the relevance degrees derived as Generating virtual activities of a process-view Given the virtual activity set VA of a process-view VP Datta, 1998; Hwang & Yang, 2002; Weijters & Van der role-relevant process-views are generated from a given base role-task relevance to simplify process-view design. work_uhgw47pq3fdspbt4y27sfjkela work_uhxq45b5drcezegsqlqotlo2ga The current system called Expert System for Analysis and Control of Water Hammer Problems "ESACWHP" is developed to help engineers in the design and analysis of water hammer problems using the characteristic method with aid of the Expert systems are computer programs that contain knowledge in a specific A human expert uses knowledge and reasoning to arrive at conclusions. When Click [Wave Speed] a corresponding window displays, as in Fig. When Click [Pump Station], its window will be displayed ,as shown in Fig.(9), When Click[Air Chamber], its window will be displayed,as shown in Fig. When Click [Surge Valve], its window will be displayed, as shown in Figure (3) Windows of the Expert System. Figure (12) Window for Analysis of Surge Tank in Network. Figure (14) Window for Analysis Surge Valve in Network. Figure (16) Window for Analysis Networks (Branched Pipes). Figure (17) Window for Analysis Network has Valve at Downstream. work_ujtg6wuf65dkbcqfvnwz2jnys4 trained by the group method of data handling (GMDH) algorithm is a partial optimization of model weights as procedures for the correction of the flow rate error and for the estimation of optimal set of input parameters (Table Optimal Set of input Parameters for Natural Gas Flow Rate Correction Factor Modelling corresponding SOPNN model (Fig. 5) is limited to maximum 27 polynomial nodes with the maximum ET, Average RRSE of the correction factor for 10 test data sets when approximated by MLP and SOPNN models The SOPNN represents the 27-node self-organized model (Fig. 5) trained by the GMDH algorithm & Hauser, 2010) on the test data set, obtained by the non-optimized GMDH model (SOPNN) and by the same sinusoids from y5 MSO by using the same model (Fig. 8) generated and optimized on y5 training data. SOPNN modeled and optimized by using (y5, n=1,...,400) 50-dimensional training data set. work_uk4h6l4hanhxvaqxqifjbsltha It acts on the longitudinal control of the vehicle, permitting it to follow a leader – acting on the throttle and brake pedals autonomously – and to projects and groups around the world working on ITS, but in different fields (perception, control, communications, actuation, ADAS, It was in this context that the first competition among autonomous vehicles in Europe was organized last year – the grand cooperative driving challenge (GCDC). The AUTOPIA program has experience in cooperative manœuvres among vehicles based on wireless communications using our communication systems to the CALM FAST/IEEE 802.11p protocol stack (a GCDC requirement), and to develop new controllers The system architecture, the vehicle used in the GCDC competition, and the communication autonomous vehicle control and cooperative manœuvres through The participating teams developed different longitudinal control strategies for platooning in highway scenarios. For the vehicle''s positioning, an error of up to 1 m was allowed by the competition''s organizers. work_ukcbaezzfjcydourjajrqgk22a A Belief Rule Based Expert System to Assess Tuberculosis of a Belief Rule Based Expert System (BRBES) with the Keywords Expert system · Belief rule base · Uncertainty · activation weight calculation, belief update and rule aggregation using evidential reasoning [21]. C1, C2, ..., CN are the referential values of the consequent attribute while βki is the belief degree to which Ci the matching degree, related to a referential value corresponding to the antecedent attribute of a rule is assigned. Table 4 A Sample of Initial Belief Rule-Base for Assessment of Tuberculosis Suspicion results a Fuzzy Rule Based Expert System (FRBES) to This article described the design, implementation and applications of a Belief Rule Based Expert system (BRBES), L., Belief-Rule-Based Expert systems for evaluation of EA Belief Rule Based Expert System to Assess Tuberculosis under Uncertainty A Belief Rule Based Expert System to Assess Tuberculosis under Uncertainty work_ul32nhcuong5tjoo2sljvdc5nm A new language based on valuations ts proposed as an alternatwe to rule-based are superior to rule-based languages f o r maintaining consistency m the knowledge refer to this language as being valuation-based, and we call a formal structure universally accepted formal definition o f a rule-based language, we will use the languages, the objects are called variables and valuations, and the operators are The valuation network with five variables and four rules Consider a knowledge base represented b y a collection o f bpa functions {m, [i that valuation-based languages have the same computational power, but we do Valuation-Based Language for Expert Systems 411 Valuation-Based Language for Expert Systems 411 Valuation-Based Language for Expert Systems 411 Valuation-Based Language for Expert Systems 411 Valuation-Based Language for Expert Systems 411 Valuation-Based Language for Expert Systems 411 Valuation-Based Language for Expert Systems 411 68 Shenoy, P P , Valuation systems a language for knowledge-based systems, work_ul5aon6enngwvleeiivqhyl54m nurse rostering problem, a set of fairness-based objective functions recently The overall results indicate that the proposed cooperative search for fair nurse rosters outperforms Keywords: Cooperative search, agent-based systems, nurse rostering, Agent-based cooperative metaheuristic approaches are fairly new in nurse rosters We propose a novel cooperative search agent-based framework that framework for cooperative metaheuristic search for fair nurse rostering. each agent implements a metaheuristic and a fairness objective function. Figure 1: Agent-based framework for cooperative metaheuristic search different metaheuristic agents generated nurse rosters using MinMax, three In the first test scenario, the metaheuristic agents use cooperative search to generate the nurse rosters using the same fairness objective of cooperative search with respect to the Jains fairness index using different fairness objective functions, MinDev ad MinMax are the best choices Table 3: The average Jains fairness index over 20 runs of a given fairnessbased objective function for each benchmark instance under Scenario 1, where work_ulmqtopujvdqpmx3hxgjsvqirm variety of functions to facilitate the development of fuzzy expert systems for real world problems in different users with the ability to develop Arabic/English fuzzy expert systems using a simple Graphical User Interface. Keywords: Expert system shells, knowledge based systems, Fuzzy Implication methods, Bilingual Systems. 44 Mathkour et al.: The Development of a Bilingual Fuzzy Expert System Shell 44 Mathkour et al.: The Development of a Bilingual Fuzzy Expert System Shell 44 Mathkour et al.: The Development of a Bilingual Fuzzy Expert System Shell 44 Mathkour et al.: The Development of a Bilingual Fuzzy Expert System Shell 44 Mathkour et al.: The Development of a Bilingual Fuzzy Expert System Shell 44 Mathkour et al.: The Development of a Bilingual Fuzzy Expert System Shell 44 Mathkour et al.: The Development of a Bilingual Fuzzy Expert System Shell 44 Mathkour et al.: The Development of a Bilingual Fuzzy Expert System Shell work_un2s64p45jdxpl32xpood2vfoa Problems Solving of Cell Subscribers based on Expert Systems Neural Networks precedent based neural network expert system components: a network, a knowledge base of precedents for problems; creation of a neural network expert system based on precedents precedent based neural network expert system software[6,13] developed for building a precedent based neural network neural network[7,20], a knowledge base of precedents for development of precedent based neural network expert system, development of precedent based neural network expert system, development of precedent based neural network expert system, support for a precedent based neural network expert system to features of precedent based neural network expert system (Fig. precedent based neural network expert system programming precedent based neural network expert system to solve the precedent based neural network expert system to solve the OF PRECEDENT BASED NEURAL NETWORK EXPERT SYSTEMS A neural network expert system based on precedents for A neural network expert system based on precedents for work_unb545vt5vhmhnf5eo3lzltypm In this paper, we propose an expert-system based parallel multi-1-dimensional block matching algorithm We have demonstrated that the MV estimation accuracy achieved by the proposed ESPM-1D-BMA is much better than the comparing fast block matching To improve the ME accuracy of 1D block matching, while keeping its computational efficiency, we can use a parallel multi-1D Expert system based parallel multi-1D blocks matching algorithm Expert system based parallel multi-1D blocks matching algorithm mixed signal approach for the 1D block matching hardware implementation architecture is presented in Fig. 3, in which we preload Now, combining the parallel multi-1D blocks matching computing architecture (Figs. Expert system based parallel multi-1D block matching algorithm with implementation for motion estimation Expert system based parallel multi-1D block matching algorithm with implementation for motion estimation 2.5 Expert system based parallel multi-1D blocks matching algorithm (ESPM-1D-BMA) 2.5 Expert system based parallel multi-1D blocks matching algorithm (ESPM-1D-BMA) work_unexgu5tqzez7pvos2fwoudg54 sources: accessibility guidelines, emergency response systems, communication devices and distinct emergency response information systems providing accessibility under different Keywords: HCI, accessibility, ontology management, universal design, Emergency Response in such scenarios we developed an ontology2 called SEMA4A (Simple Emergency Alerts 4 work is both in providing accessible emergency notifications and supporting systems preferences), as well as information related to accessibility, media and emergencies in order to developing an ontology that adapts notifications by using accessibility and usability concepts. Ontologies provide a semantic resource to describe information related to a specific domain. tool that uses the Web Authoring for Accessibility (WAfA) ontology, and finally, we analise fields, so about emergency and accessibility together, while our ontology includes concepts The expert on accessibility evaluated, totally, 155 lexons extracted from our ontology in the The expert on emergency evaluated, totally, 265 lexons extracted from our ontology in the accessible information within emergency notification systems is crucial, since, it can reduce work_ungntmprafc7zgznwu6bag5amu In this paper, we apply the concept of entropy to propose a distance metric to evaluate the amount of mutual information among records in microdata, and propose a method of constructing dependency tree to find the key attributes, which we then use method of constructing dependency tree to find the key attributes, which we can use to process select key attributes from the best dependency tree, and how to use it for the approximate 1. Satisfying k-anonymity with minimum data modification using generalization (recoding) and local suppression was shown to be NP-hard by Meyerson and Williams [21], The work presented in this paper is based on information theory, and is related to the application of dependency tree of information theory in data mining and databases. n attributes selected from Table 4, and each data set has the same number of records as the work_uo4gaxtmyvbm7f7z5jt2my4m2e By defining the concepts of Information Systems, decision support management of resources, logistics, information use, expert systems. defense management as well, especially in providing logistic support. Logistics information management is a continuous process of: collecting, The Logistics Information System as an expert system is a computersupported system the goal of which is to support the management of logistic processing and distributing information to all levels of management. Management of logistics information Logistic support management is a process that includes planning, overall system of defense management, implemented at all decisionmaking levels to optimize logistic support (Ministry of Defence of the The management of logistics information should cover all The logistics Information system is a computer-supported system Logistics information system as an expert Working with logistics information is a continuous process of collecting, The Logistics information system provides support for the automated resulted in the decision to implement the Logistics information system. /Univers-Condensed-Bold work_upk45tn4afenfhldwybnpdskpy this problem by introducing a (proper) mapping of entities in two ontologies from two (different) domains. In this paper we introduce a genetic based algorithm for the Mapping Extraction problem. • The Ontology Alignment weighting and similarity measures. where concepts of Oi are nodes of Gi, and the relations/properties of Oi are typed edges of the graph. should be six different categories which are graphically shown in the Figure 3 (In the following explanations we assume that G, G′ are graphs of two ontologies O, O′ to be aligned. According to the coincidence-based weighting, we define a Pair, as two concepts from one ontology, between which there is a relation (So there is an edge based weight function), and we select the 500 best individuals as parents of the next step. In this paper, we discussed our method for Mapping Extraction in an Ontology Alignment framework. work_upn2iwecqvhozhd2y7ajcu64a4 The present research was conducted to introduce a Visual Basic expert system to help the postgraduate students in the diagnosis The conditions also included, allergy, Behcet''s syndrome, neutropenia, necrotizing sialometaplasia, pemphigus, ulcerative lichen planus, vitamin deficiency, anemia, lupus erythematosis, epidermolysis bullosa, pemphigoid, squaemous cell diagnosis and treatment of the most common oral ulcers. Keywords: Expert system; Diagnosis and treatment of oral ulcers ulcers, the introduced data from the expert system and who used an expert system to help in decisionmaking and treatment of the most common periodontal conditions. Furthermore the results agree with those of Allahverdi and Akcan (2011) [19] who used an expert system for the diagnosis of periodontal diseases. An expert system for oral diagnosis. An expert system for the diagnosis and management of oral ulcers An expert system for the diagnosis and management of oral ulcers An expert system for the diagnosis and management of oral ulcers work_uq3vqye7gzbq7isiz7yigh7m7u A personalized trustworthy seller recommendation in an open market A personalized trustworthy seller recommendation in an open market Although more and more customers are buying products on online stores, they have a difficulty in selecting a both trustworthy and suitable seller who sells a product they want to buy since there is a plenty research is to propose a personalized trustworthy seller recommendation system for the customers of To that end, we first developed a module which classifies sellers into trustworthy one or not using a classification technique such as decision tree, and then developed another module hand, fundamental techniques have been studied to develop recommendation systems, including content-based filtering (CBF) However, recommending sellers who are trustworthy and suitable to each customers has Our proposed system aims to recommend trustworthy sellers who provides product or services that each customer wants. work_uri7vtryhnc2tjlxc6tsbfvpqe evaluating food aid by international disaster relief organizations. The research identifies data related to monitoring and evaluation processes of various international food-aid organizations. It then applies an artificial intelligence-based expert system to develop a prototype for those processes. Administration) was used to develop a prototype system named Food Aid Monitor, a rule-based expert system, which uses facts and heuristic rules to provide an adaptive feedback regarding monitoring and evaluating processes at various stages of food aid operation. The Food Aid Monitor was evaluated and validated by three expert Key Words: food aid, expert system, disaster relief, monitoring, evaluation Gather data (organizational policy/procedure manuals/program cycles) on monitoring and evaluation processes of food aid from international relief organizations to a panel of field experts checked the usability of the prototype by reviewing the knowledge base for the applicability of the facts and rules to real-life situations and completed a questionnaire. work_urmbglu2djbjvmdzmvfengjs7y Keywords: Website performance evaluation, relationship marketing, clickstream data, online consumer behavior Similar to the spread of relationship marketing evaluation that mainly uses customer data, website performance relevant website performance measures from visitor usage behavior, as specified in various web mining valid demand-actuated evaluation of customer/visitor value by quantifying the effectiveness of a company''s RM company data by providing internal measure of website performance in the context of relational marketing customer value determination by quantifying RM effective website usage behavior and also enables a demandactuated website optimization and customization for different relational marketing strategies. Integrating relationship marketing strategies (RMS) with related research from website performance assessment, effectiveness determination in a web mining approach for modeling, evaluating and predicting RMS identifying and characterizing typical corporate RMS in different website areas and related visitor activities (step specified visitor activities according to their relevance for achieving RMS effectiveness website area specific work_uskxb65xc5ajbkgwcoetuvztf4 M e t h o d validation for H P L C is a complex task which requires m a n y characteristics o f the m e t h o d to be tested, e.g. accuracy, precision, etc. Therefore, the expert systems were integrated in such a way that communication between the various stages of m e t h o d development was possible. The purpose of this paper is firstly to summarise the objectives of each integration and to describe the results of testing these systems. Evaluation of the Validation Expert Systems quality and overall usefulness of the advice given by the expert systems. A list of evaluation criteria was proposed by the knowledge engineers and experts Expert Systems for Method Development 503 Expert Systems for Method Development 503 Expert Systems for Method Development 503 Expert Systems for Method Development 503 Expert Systems for Method Development 503 work_ut5scaz4jncc5b67akup37xhpe landscape, and calculate what parameters need to be changed to reach new locations. map, managers can interactively query the landscape, perform what-if analysis, identify Figure 1: Top variables (in terms of strength of effect) for predicting Total Operating Result (MSEK) at Skandia map shows the fitness of a company for different combinations of parameters, and supports Figure 3 shows an example of an IC map, with a company traveling across a fitness landscape. Each point on the map represents a possible company state vector. The time to reach a new destination can be estimated by using historical parameter change speed of a lanscape, we need a model which predicts fitness at any point on the 2D map, and so infers Figure 7: Scaffold for Skandiabanken''s low-dimensional fitness landscape generated using Figure 15 and 16: Scaffold of points for the Multiple company Skandia map Figure 20: Distances on the Skandia IC Map versus the high-dimensional points. work_utk4nc3tvjcdfdaejpaqxr2xna This article introduces the use of a multi-instance genetic programming algorithm for modelling user The main difficulty in this problem lies in training set representation; web index pages are those which contain references or rules which provide information on whether any of the links contained on a given web index page are of interest to a given user. Section 4 presents Web Index Recommendation as a multi-instance learning Pao, Chuang, Xu, and Fu (2008) have proposed an EM based learning algorithm to provide a comprehensive procedure to maximize of data contained in the instances analyzed (in Section 5 we will describe the format of the clauses used in the web index recommendation problem). Based on previously mentioned considerations, we have considered the use of multi-instance representation for web index recommendation problems. In order to evaluate our G3P-MI algorithm in the web index recommendation task, and to compare with other results previously work_uudn7xmzevfhlkatd6wdjrnypm The MICROSTROKE expert system for stroke type diagnosis. MICROSTROKE is a prototype expert system designed to categorize and diagnose stroke types The knowledge base of MICROSTROKE includes information from stroke type includes thrombosis, embolus, lacune, intracerebral hemorrhage, and subarachnoid Stroke type diagnoses by MICROSTROKE were correct in 72.8% of 250 cases in the Hamburg Stroke Data Bank, MICROSTROKE runs on any MS-DOS microcomputer and is intended For the bedside assessment of stroke type,knowledge of the frequency distributions ofsigns, symptoms, and ecological data associated with the different stroke types can be of MICROSTROKE includes three knowledge data bases. The third knowledge data base consists of exclusively text information, used by the tutorial module knowledge data base, MICROSTROKE''S inference these stroke registries may be presented to MICROSTROKE in an automatic fashion so that the data of a stroke type diagnosis, MICROSTROKE is intended as a MICROSTROKE lies in its knowledge data base. work_uus5mifswfhjrdx4l3rjafh7lm or knowledge-level modelling (e.g. KADS) is to identify abstract patterns of inference that appear in many expert systems. abstract patterns of inference and program structure, it is argued, are productivity tools for the creation KEY WORDS OO patterns expert systems knowledge-level modelling A similar idea, called ��� or knowledge-level modelling can be found in the expert systems Our general claim will be that OO reuse patterns and ��� (e.g. KADS) are similar enough for lessons The goal of ��� modelling is to identify abstract reusable inference skeletons that appear in many expert systems; e.g. diagnosis, classification, monitoring, etc. OO patterns are usually expressed in a different notation to ��� inference skeletons (compare Figure 4 with Figure 12). Certain ��� authors note certain similarities between the different abstract reusable inference patterns proposed by KADS: intuition is that the abstractions offered by OO reuse design patterns and ��� are true and useful for work_uwalrhrrubc2nc6hsopdwz6rte Collaborative Filtering (CF) technique has proven to be promising for implementing large scale recommender systems but its success depends mainly on locating similar neighbors. our proposed Trust based Ant Recommender System (TARS) produces valuable recommendations by trust graph from where recommendations are generated, items and number of neighbors involved in predicting ratings can help active user make better decisions. Also, new users can highly benefit from pheromone updating strategy known from ant algorithms as positive feedback in the form of aggregated dynamic trust pheromone defines ''''popularity'''' of a user as recommender over a period of time. Filtering, Content based approach and Hybrid methods are the prevalent three approaches to developing recommender systems. There are several limitations and challenges to CF based recommender systems due to traditional emphasis on user similarity. For example, the trust intensity between recommender and active user may increase or decrease depending on TARS (Trust based Ant Recommender System), sparseness in user work_uysid7rerjf55i5cagmsmarm4e A combined methodology for supplier selection and performance evaluation A combined methodology for supplier selection and performance evaluation for increasing the supplier selection and evaluation quality. and quantitative variables in evaluating performance for selection of suppliers based on efficiency and In the first stage, qualitative performance evaluation is performed by using fuzzy AHP (Analytical Hierarchical Process) in finding criteria weights and then fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is utilized in finding the ranking of suppliers. To choose the right supplier deals, with an important evaluation, and selection problems in the purchasing function of a business. supplier selection by means of multi-criteria techniques. Supplier evaluation is a multi-objective and criteria decision objective models have been applied to a supplier evaluation problem. combined decision models in the supplier selection process, for supplier-selecting system includes two functions: one is the function measuring and evaluating performance of purchasing (quality, work_uzz76ezssrdgdloaq22rqagi4e Dynamic Operator Instructions Based on Augmented Reality and Rule-based Expert Systems augmented reality and rule-based expert systems Augmented reality is currently a hot research topic within manufacturing and a great potential of the technique is seen. increase the knowledge of the adaptation and usability of augmented reality for the training of operators. information content is proposed that is automatically adjusted to the individual operator and his/her learning progress for increased efficiency The approach make use of the concept of expert systems from the field of artificial intelligence for determine the A proof-of-concept evaluation of the framework is presented in the paper and possible future extensions are discussed. Keywords: Augmented reality; Expert systems; Industrial operator; Information content approach make use of the concept of rule-based expert called "Augmented Reality Expert System" (ARES) is ARES consist of two systems; a rule-based expert system "Augmented Reality Expert System" (ARES) is developed work_v235goyagzaddouqdgpxiwrmsi rapid development of network technology, distributed denial of service (DDoS) attacks become one of the most important issues today. (the representation of the behaviors of system and users) and the Defense model (the descriptions of Detection and Filter methodologies). Based upon the ontology, four KCs (Profile model, Evaluation strategy, Detection methodology, and Filter methodology Knowledge Classes) and their relationships are then proposed, where each KC may contain a set of sub-KCs or intrusion tolerance system for DDoS attacks to evaluate the proposed models. Keywords: Distributed denial of service (DDoS); Intrusion tolerance; Ontology; Knowledge acquisition; NORM knowledge base to store the characteristics of DDoS attacks, knowledge base to store the characteristics of DDoS attacks, detecting for defending flooding-based DDoS attacks. detection rules, and setting filter policies by domain experts. DDoS attacks, the Profile model including system state and Constructing detection knowledge for DDoS intrusion tolerance Constructing detection knowledge for DDoS intrusion tolerance work_v4suihtgkfdi7hyyeooer4htzq As a remedy, this paper proposes a Subject–Action–Object (SAO)-based patent intelligence system. On the basis of semantic analysis of patent SAO structures, our proposed intelligence system constructs patent maps and patent networks. Building on the maps and networks, the system provides specific functionalities including identification of technology trends and significant patents, architecture of our proposed patent intelligence system in detail, and illustrates the system''s functionalities using case studies. Analyzing patents that are representative industrial property provides information about specific conditions in relation to technological or intelligence a vital tool for formulating strategic technology planning (Yoon & Kim, 2012b). As a remedy, this paper proposes an SAO-based patent intelligence system. Using the patent maps and patent networks, the system creates significant information to support decision-making for technology planning. Thus, this section lays the groundwork by explaining patent intelligence for technology planning and SAO-based patent analysis. work_v747xjw75jfu5drznwrk6szweu Pattern recognition, multiclass classification, neural networks, citrus diseases This paper presents a classifier able to distinguish among the three quarantine diseases mentioned, based on a binary description of the presence diseases recognition, which includes a feature selection step and a classifier model selection; data set 2 (DS2) having the remaining 75% (141 samples) Feature or attribute selection is an active research area in pattern recognition, statistics, and data mining. little or no predictive information and select only a subset of relevant features for building robust learning models. Classifiers training and testing on selected features After the feature and model selection steps, the classifiers were trained The proposed approach is based on the combination of a feature selection method and a classifier that has been trained on the illness symptoms. The high classification rates that have been obtained on the task of automatic recognition of quarantine citrus diseases show the usefulness of the work_v7ptiurqnvegdi23ii6ufbnu2i Development and application of simple expert systems in obstetrics We have developed simple rule-based expert systems for 2 clearly defined applications in obstetrics 3 Development of a rule-base expert system of rule based expert systems for limited applications in clinical medicine. twofold approach for the development of the expert system for the diagnosis of incontinence [6]: application of 2 simple rule-based expert systems, one Keywords: Artificial intelligence, cycle stimulation, expert system, urinary incontinence. Als erste Anwendung entwickelten wir ein Expertensystem für die Stimulierung des Menstruationszyklus mittels clompiphen und humanem menopausalen Goandotropinen (HMG) für unser in vitro Fertilisierungs (IVF) der Entwicklung des zweiten Expertensystems zur Unterstützung der Diagnose der weiblichen Harninkontinenz durch die urodynamische Untersuchung eine zweifache Strategie: zunächst berechneten wir den Vorhersagewert in Bezug auf 5 mögliche urodynamische Diagnosen für verschiedene Untergruppen von Patientinnen. Nous avons teste le Systeme expert chez 62 patientes Mots-cles: Incontinence urinaire, intelligence artificielle, stimulation de cycle, Systeme expert. work_vckd3ttwbjgldfrgzguiw7srf4 resonance theory network (M-ART) and the conceptual hierarchy tree to solve similar degrees of mixed data. algorithm can process the mixed data and has a great effect on clustering. Keywords: Adaptive resonance theory network; Conceptual hierarchy; Clustering algorithm; Unsupervised neural network; Data mining A common practice to clustering mixed dataset is to transform categorical values into numeric values and then proceed to use a numeric clustering algorithm. Hsu & Wang, 2005) to propose a new incremental clustering algorithm for mixed datasets, in which the similarity Traditional clustering algorithm transfers Favorite_Drink categorical attributes into a binary numerical Traditional clustering algorithm transfers Favorite_Drink categorical attributes into binary numerical attribute type. Entropy values for Student dataset with clusters by ART2, K-prototype The categorical attribute prototype for Adult dataset with 1–8 clusters by M-ART Incremental clustering of mixed data based on distance hierarchy Incremental clustering of mixed data based on distance hierarchy Clustering hybrid data based on distance hierarchy Clustering hybrid data based on distance hierarchy work_vesmay3hzrdnlde2lq3iqj4odu 3. correct combination of words in the poem to match both the intended message 1. Specific strophic forms require different number of syllables to a line following syllables to the end of the word, and each strophic form requires a set of words and a set of line patterns provided by the user. 5. generates each of the lines of the poem draft by mirroring the POS structure of For the resulting choice of strophic form specific line patterns /examples are line in the poem if there is a word of the necessary rhyme whose POS matches the line patterns/examples are assigned to the different fragments of the poem at this A different CBR process is set in motion for each line in the poem. For each fragment of the poem, adequate words and adequate line fragment of the intended message, words with the required rhyme for the line. work_vfmson6knzf7xcg7eigifbw2ue Environmental management for Agriculture: An Expert System Approach Fisheries and Food (MAFF)provide sound environmental advice for the management of soil, Environmental performance evaluation needs to set objective criteria against which actual positive environmental impact from this rule, this does not imply that it is in fact good provided by the Code of Good Agricultural Practice for the protection of Water. rules considering fertilizer application in environmentally sensitive areas. The overall performance indicator, S, provides the comparative measure of environmental The performance measure, S, can provide a farm with a local baseline on which an evaluation system with the source publications that provide the basis for the rules. Farmers also need to develop a means of evaluating environmental performance against a absolute measure of environmental performance, nor can it ever be free of value environmental performance evaluation: (i) against expectations for a ''model'' farm; (ii) as a work_vfqugwm6pbe3pmbkovbeewlzta Moore, JD & Paris, CL 1991, ''Requirements for an expert system explanation facility'', Computational https://www.research.ed.ac.uk/portal/en/publications/requirements-for-an-expert-system-explanation-facility(ef7ff645-9d9f-49ff-8d47-34b60b987091).html Expert systems are often required to produce multisentential explanations, for example, t o provide Explanations should be influenced by information about the user''s knowledge and goals, the problemsolving situation, and the previous dialogue. plans explanations to achieve discourse goals denoting what " S E F can be wed to assign a value (BEL USER (CONCEPT GENERALIZED-VARIABLE)) Sample explanation generated by this text plan: 1. A completed text plan and the explanation produced. As the system plans explanations, it records the goal structure of the response being produced. expert system''s knowledge bases, the user model, or the dialogue: history. More specifically, by reasoning about the prior explanations it has produced, our system is able t o interpret users'' follow-up questions and answer them in context of the ongoing dialogue work_vgbbzggjsncmvk2od4ozpjsvme such common motion patterns could allow a robotic device to robustly track people even with long term Therefore, this paper proposes to learn human motion patterns based on Sampled Hidden Markov Model (SHMM) and simultaneously track people using a particle filter tracker. simultaneous people tracking and human motion pattern learning has not only improved the tracking of people tracking is to use known motion models (Kluge, Kohler, people tracking and motion pattern model learning. SHMMs provide a sparse representation of common motion patterns and can be learned on-line using a mobile robot''s on-board people tracking and motion model learning. We presented simultaneous people tracking and human motion pattern learning based on Sampled 3 Simultaneous people tracking and motion pattern learning 3 Simultaneous people tracking and motion pattern learning 3 Simultaneous people tracking and motion pattern learning 3 Simultaneous people tracking and motion pattern learning 3 Simultaneous people tracking and motion pattern learning work_vh63ojb7zrewbdz7l3biyqd4zq model is based on the two main approaches proposed in literature to address generic evaluation problems, Analytic Hierarchy Process and Fuzzy Set Theory, proposing a hybrid approach which combines some the strengths of the the attributes of the airline service quality (Babbar & Koufteros, 2008; Curry & Gao, 2012; De Jager, Van Zyl, & Toriola, 2012; Kim & Lee, 2009; Martin, Roman, & Espino, 2011; Wen & Yeh, 2010) and the customer-value drivers (Boetsch, Bieger, & Wittmer, 2011; Park, Robertson, & The model is based on two popular approaches proposed in literature to address evaluation problems, the Analytic Hierarchy Process (AHP) (Saaty, 1980; Saaty, 1980, 2001) and the Fuzzy Set Theory (FST) (Zadeh, 1965), proposing a The proposed model is based on the two main approaches suggested in literature to address evaluation problems, the Analytic Hierarchy Process (AHP) and the Fuzzy Set Theory (FST). work_vi52ffbwhzf2zmdwj2o35h7h5m Problem Solving Methods in Work Systems Design Problem Solving Methods in Work Systems Design Brahms'' incorporates an ontology for modeling work practices, what people are research focus shifts so "problem solving methods" include ways of knowing that models Keywords: Work systems design, work practice simulation, model-based automation, o All expert systems are "model-based"—the representation methods of AI programming, specifically in expert systems, introduces a new modeling the development of knowledge engineering tools; the shift in perspective about models, the development of a tool for building work systems by modeling practice, called Brahms 1) Problem solving involves modeling one or more systems in the world.3 In effect, business process modeling tools enabled representing how work with a primary objective of developing a work systems design simulation tool that would models and use of simulation for work systems design. In applying 2nd GES methods, we have developed Brahms, a tool for modeling work work_viehff56qvdjrhuqk3pach75ge Using profit-based evaluation measures is a necessity in businessoriented contexts, as they aid companies in making cost-optimal decisions. Among the measures that effectively include the true nature of costs and benefits in binary classification, the expected maximum profit (EMP) has been used successfully for churn prediction frequently used measures, the EMP relies on a fixed probability distribution of costs and benefits, the range of which in real applications This paper is structured as follows: in Section 2, we describe the state-ofthe-art profit-based performance measures for evaluating classification models. (2012), which is the first measure in the MP framework, considers the different costs of classification and at the same time facilitates the obtaining of the optimal cut-off value to be applied when operating The MP measure is designed as a profit-based function, in which the parameters b0 and c0 (b1 and c1) are, respectively, the benefit and cost associated work_vrnc3jbhjvblxi64li5uowbbzi Aided Diagnose of Structural Pathologies with an Expert System construction are artificial neural networks, Case-Based Reasoning (CBR) and expert systems. • Support for the diagnosis and repair of construction pathologies: e.g. MDDS (Masonry Damage Diagnostic System) for diagnosing pollution caused pathologies in masonry Diagnosis Expert System) for diagnosing reinforced concrete structures in Peter pathology; b) Developing a prototype of a knowledge-based expert system for diagnosing building pathologies, including ordering, encoding and programming of symptoms data The knowledge base stores the information from the human expert that the program The main advantages of an expert system over ANN in diagnosis of building pathology of building pathologies (or detection of the damage''s cause), in which knowledge is very well Considering that the developed expert system is a diagnostics program aimed to train conclusion object which confirms diagnosis of a pathology with different levels of confidence. required to develop the software, which can diagnose over 200 pathologies of building work_vs53ce2hjzfbha3l3pbs4j24be Third, the classifier is adapted online based on user feedback using the Markov decision process. Keywords: prior domain knowledge, inductive machine learning, ambient intelligence, fall detection fall detection domain, an expert may specify that if an elderly person is lying or sitting on the ground for In the fall detection example, the starting rule-based classifier contained the following rule types: 1. IF falling activity within T1fall seconds AND the user was lying/sitting on the ground P1activity% of T1activity the last rule of the fall detection classifier, presented an issue for the expert, as the values may be rule type requires detecting falling activity and the user to be immovable and lie/sit on the ground to detect a fall, whereas the fourth rule type requires only the user to lie/sit on the ground. initialized to zero for all states and MDPR.current is set to the rule''s values in the refined classifier (Figure work_vvejlao4xbbttpydvf3tbow73m resources to enrich texts by conducting different NLP tasks: WSD, domain classification, semantic Keywords: Recommender Systems, Framework, Integrated Semantic Resources, Sentiment Analysis, related to WordNet have consequently been developed in different domains or by using semantic But it is still difficult to find resources that provide semantic integration in different domains In this work we present a new semantic resource (ISR-WN) and a set of different methods to take This section presents the different semantic resources that are integrated into ISR-WN and a comparison represents different senses which are related through the use of semantic, conceptual or lexical The SC resource consists of a set of Base Level Concepts (BLC) obtained from WN using a bottomup process with hyperonymy relations. goal is to add semantic information to glosses and establish new relations among words (now labelled as "Integration of Semantic Resources based on WordNet" (ISR-WN) (Gutiérrez et al., 2010a) work_vw3k7kxkz5dxpm3xbsboiqxzza expected value approach'''' for data envelopment analysis (DEA) in which fuzzy inputs and fuzzy outputs are first weighted, respectively, and their expected values then used to measure the optimistic and pessimistic efficiencies of decision making units (DMUs) in fuzzy environments. The proposed fuzzy expected value approach and its resultant models are illustrated with three numerical examples, including the selection of a flexible manufacturing system (FMS). fuzzy input and fuzzy output data into crisp data using membership function values and suggested a mathematical programming Lertworasirikul, Fang, Joines, and Nuttle (2003) proposed a possibility DEA model for fuzzy DEA. are trapezoidal fuzzy numbers, the possibility DEA model became a overcome these drawbacks, we propose in this paper a ''''fuzzy expected value approach'''' for fuzzy DEA, which first weights fuzzy inputs and fuzzy outputs, respectively, and then utilizes their 2. Fuzzy expected values and fuzzy DEA models where ~ur ¼ uLr; uMr ; uNr ; uUr work_vwu6oibbn5c3xcnly3yuyubxqi software that is known as ES shells or skeletal systems. Currently, these commercial software packages include a readybuilt inference engine, user interface, and framework for the knowledge ES software (i.e., ES shells) into the information systems mainstream. be noted that ES shells are used to develop multiple management support candidates and development of a short list of ES software packages; The purpose of developing a short list of shell products is to The commercial software packages (e.g., ES shell) with the stage of the evaluation and selection methodology (i.e., ES Shell required ES shell software to operate on their current hardware and evaluate in detail the ES shell finalists and select the one software evaluation criteria; 2) obtain shell product information; and, select a shell from among just three alternative software packages. of the evaluation and selection process for ES software, only to the development of specific ES with the selected shell ensures that the work_vx6n4xg2sbb3pbzlcba5y5vyo4 innovative knowledgeable system for valuation of employability through some fuzzy rules. as an input namely Education, Understanding power and Personal development and find out a novel crisp value for employability Keywords: Employability Skills; Fuzzy Logic; Personal Developmen; Understanding Power; Education The employability skill personal development includes self-confidence, self-control, social skills, Employability is a set of three achievements that are skills, understandings and delicate attributes which creates A multi-variable fuzzy logic control system for a class of distributed parameter systems proposed by YQ Ren, XG Chen uses neural-network-based fuzzy logic control in a nonlinear time-delay chaotic system [23]. The linguistic input variables named as Education (E), Understanding Power (UP) and Personal Development Table 1 covers the range of input variables named as education, understanding power and personal development. Education Understanding Power Personal Development Employability [10] Ren Y.Q., X.G. Duan, HX Li, CLP Chen, Multi-variable fuzzy logic control for a class of distributed parameter systems, Journal of work_vxyqed2ltzfyflzv6tdionhim4 Validation is critical to the design and implementation of decision-making ESs. In a The validation framework developed in this paper is research methods. pert systems (ESs), validation is important to the decision-making success of a sys­ Developing, designing, and implementing systems for making expert decisions by software engineering [44] and ES validation [2l], formal acceptance testing may sions of this paper were presented at the University of Southern California Symposium on Expert Systems, the concepts "validation" and "assessment" applied to ESs; to develop a framework and accounting-based ESs are developed and validated using resources and may the test problems used in the validation process. Clarkson [9] (10) Bouwman (5) Chandler [l6] [l7) [18) Michaelsen [38] Steinbart (47) Meservy (37) Since the ESs were prototype systems, there was no need to develop test prob­ W. Knowledge acquisition and system validation in expert systems for management. F. Knowledge based expert systems for audit opinion decisions. work_vy66sd74xbe2lbu3fpbuqxixai Due to the importance of the growth of biotechnology in Taiwan, the question of how the operation performance of the industry can be upgraded to sustain its competitive advantages has become an important The impact of quality practices on customer satisfaction and business results: Product versus service organizations. body of literature on total quality management and categorizes measurement criteria. measurement model for the Taiwanese biotechnology industry that can be used to improve its quality Industries have come to understand that, in order to stay competitive globally, a continuous improvement in organizational quality performance is a necessity (Mele & Colucio, 2006; Sitalakshmi, Additionally, TQM is also an integrated management philosophy aimed at continuously improving the performance of products, processes, and services in order to achieve to in order to construct eight dimensions (Leadership and Operation Ideals, Strategy Management, R&D and Innovation, The Development of Customers and a Market, Human Resource and work_vybda6uyqnfrtaswahcnifxzzq breast cancer has been developed using deep belief network unsupervised path followed by back propagation In this study, back propagation neural netork initialized by weights from a trained deep belief network with Dheeba, Singh, and Selvi (2014), investigated a new classification approach for detection of breast abnormalities in digital mammograms using Particle Swarm Optimized Wavelet Neural Network In our study, we applied deep belief network (DBN) in an unsupervised phase to learn input features statistics of the original WBCD To increase classifier performance for both architectures, we test conjugate gradient back propagation and Levenberg–Marquardt in neural network learning phase. he experiment conducted by Pauline and Santhakumaran indiating Levenberg–Marquardt learning algorithm gives better clasifier accuracy when used with back-propagation neural network for detecting breast cancer based on DBN unsupervised pre-training Breast cancer classification using deep belief networks Breast cancer classification using deep belief networks Breast cancer classification using deep belief networks work_vyixrh453vfihees7ne3g4af7i Contrast set mining in temporal databases Contrast set mining in temporal databases Contrast set mining relies on discovering significant patterns by contrasting two or more groups. We define a set of temporal patterns in order to capture the significant changes in the contrasts Contrast set mining (CSM) (Bay & Pazzani, 1999; Rules for contrast sets (RCS) is a proposal that Contrast set mining was first referred by Bay and Pazzani same goal, finding contrast sets whose support differ meaningfully across groups. contrast set represents a true difference between at least a pair contrast set and the columns represent each group considered. Rules for Contrast Sets (RCS) (Azevedo, 2010) is a proposal Rules that describe the contrast sets whose support differs not consider how contrasting patterns evolve along time. Comparing contrast sets from different periods data: mining contrast sets, in Proceedings of the Fifth ACM His research interests are pattern mining and contrast sets work_vz6x6d5pa5ccricho676aoithm This paper proposes an approach to reduce the total operational cost of a spare part logistic system by appropriately designing the For each BOM configuration, we can use OPUS10 (proprietary software) to calculate an optimum inventory policy Exhaustively searching the solution space by OPUS10 can yield an optimal BOM configuration; Keywords: Bill of material; Spare parts; Stocking policy; Genetic algorithm; Neural network the optimal stocking policy and its associated total operational cost for a BOM configuration. Guide & Srivastava, 1997; Kennedy, Patterson, & Fredendall, 2002; Rustenburg, 2000; Sleptchenko, 2002). appropriately determine stocking level and repair capacities to reduce the total logistic costs of spare parts. In order to reduce the computation time, we proposed a GA (genetic algorithm) for efficiently finding a near-optimal BOM configuration from Design of BOM configuration for reducing spare parts logistic costs Design of BOM configuration for reducing spare parts logistic costs work_vzc6tioriremjmtbvgl42jii34 This paper proposes new variance enhanced clustering methods to improve the popular K-medoid algorithm by adapting variance information in data clustering. model, groups similar images in clusters with various variances according to the distribution of image to cluster data points according to their pairwise similarity values. data point and its cluster center, the proposed method iteratively Using the proposed self-growing K-medoid algorithm, the number of required model (medoid) can be determined to let the dissimilarity between data point and closest cluster center be less In general, decision boundaries segment the feature space into polygon-shaped regions for each cluster in a data To select appropriate data points for the computation of variance along line segments between cluster centers, a polygonshaped data model, called Polygon descriptor (Lai & Fu, 2007, Data points are clustered using the K-medoid method proposed in Section 2.2. work_w5iiiaai3jgclg3ek6obibep2m A COUPLED KNOWLEDGE-BASED EXPERT SYSTEM FOR DESIGN OF LIQUID This paper describes a coupled knowledge-based system for the design of liquid retaining structures, which can handle both the symbolic knowledge processing based on engineering design of three types of liquid retaining structures, namely, a rectangular shape with one process, which includes preliminary design, load specification, model generation, finite This prototype system for design of liquid retaining structures, LIQSTR, can offer assistance of the empirical rules and procedures embedded in design of liquid retaining structures. communication between diversified knowledge modules involved in structural design process sections, moment and shear coefficients for various configurations in preliminary design, structural properties of proposed alternatives and final member details in detailed design. preliminary synthesis, detailed specification, numerical model generation, structural analysis, input data file of a liquid retaining structure for ABAQUS analysis is represented Kumar, B., 1995, Knowledge Processing for Structural Design, Topics in Engineering Vol. work_w67qgpvf3zae5pqnx5ewzoapb4 sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. 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Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_w6ft4swj3fa5fjkapir2k2svdy A user friendly expert system to assist the farmer in tractor selection was developed based on the This evaluation procedure utilizes Nebraska Tractor Test tractor selection process, not to provide a definite decisions made by a farmer is the selection of a tractor. expert system to aid in farm management decisions is assist the farmer in tractor selection. manufacturer, Nebraska Tractor Test Reports, dealers selection factors are obtained from Nebraska Tractor review the instructions or run the tractor selection Fig. 1—Schematic diagram of the tractor selection program. tractor selection procedure could have been implemented program the selection procedure was based on the The tractor data files and menu program are available farmer in tractor selection. 2. The expert system evaluated tractors ranging An Expert System for Tractor Selection An Expert System for Tractor Selection An Expert System for Tractor Selection An Expert System for Tractor Selection work_w7624tydubbvncyg3hfuhqhfta Use of expert systems for the synthesis of downstream protein For implementing an expert system, it is necessary to divide the separation process in two parts: recovery process, the implementation of an expert system, called Prot – Ex, only use heuristic rules from literature and human experts. algorithm, then the use of purity criterion is more recommendable for selection of purification sequences. proposed sequences found by the expert system a very good starting point for industrial process selection, a clear case of ''expert Keywords: Protein recovery; Protein purification; Downstream processing; Bioseparation; Expert system On the other hand, for the protein purification processes the flowsheet consists of a chromatographic sequence (see Table 1). The implementation of an expert system for separation processes for proteins was divided in two different expert systems, for selection of optimal protein separation processes. sequences of processes for downstream purification of proteins, PhD system for selection of protein purification processes: experimental work_w7ccj62ltvfrjcam7jnefiuiri A bipolar consensus approach for group decision making problems A bipolar consensus approach for group decision making problems This paper addresses the collaborative group decision making problems considering a consensus processes to achieve a common legitimate solution. approaches proposed to use group consensus functions that aggregate decision maker evaluations in a unique value representing the 2014), although some authors introduce the decision maker importance degrees in the aggregation phase of actors'' opinions (Herrera, These equations mean that relative bipolar measures of decision maker dj considers only the opinion or evaluation of his not necessary to resolve group decision problems, this section proposes to reach a common solution through a soft consensus process (Herrera et al., 1996a; Herrera-Viedma et al., 2002) based on In each iteration, considering importance degree of decision makers, the proximity measures are calculated to determine convergent alternatives (that present the smallest distance compared to work_w7p2v35cpfenzaihw4nyphoxeq Recommender systems base their operation on past user ratings over a collection of items, for instance, books, CDs, etc. model-based algorithms, which recommend by first developing a model of user ratings. Notably, we examine several similarity measures, various criteria for generating the recommendation list, the appropriateness of evaluation metrics, Konstan, and Riedl (2002) weight similarities by the number of common ratings between users/items. • Stage 2: top-N list generation with algorithms that construct a list of best items recommendations for a user. Past/future data: In real-world applications, recommendations are derived only from the currently available ratings of the test user. example, if we use two past-items, we have to compute similarities based only on the provided two ratings and we of U1 and U2 users, when only co-rated items are considered, then the similarity measure will be computed based First, we examine user-based CF algorithms and compare the existing Pearson similarity and WS measures work_wadj5fvobbbelpdhjpdsjvhz4q Analysis of Student Academic Performance through Expert systems Predicting the performance of students is one of the most important topics required for learning contexts in the activities of usual students which handle huge volumes of information collected from package tools show radically different trendy techniques widely applied to predict the success of students, along with the Keywords: Deep learning, Machine Learning, Prediction, Academic Performance, Analysis information science in education, students would data processing techniques area unit Neural Networks, Rules of association, Trees, classification algorithms based on neural networks. data sets and its strong success in classifying Data Mining Techniques: As several machine data to predict the students'' performance and the scholars performing in academic data processing Prediction Model through Data algorithm to predict the students performance. Students'' Academic Performance Dataset, Predicting Students'' Academic [18].Student Academic Performance Prediction for Predicting Student Performance, for Predicting Student Performance, Conference on Educational Data Mining work_wcurz4s52va3rcxqzojkxfwgx4 concept of energy, not in use in knowledge engineering checker for Croatian language, implemented as learning Keywords: spell checker, knowledge acquisition, modelling of learning, energy. managed to put more than 50% of unknown English word types in the class of the lowest peculiarity; the best result in Croatian was around to bring majority of nonword types at the beginning of Hascheck report; legal Croatian word As mentioned earlier, Hascheck started to operate with a dictionary of less than 100,000 common word types. In the first 5 years its knowledge grew to more than 300,000 Croatian common word types, and more than 80,000 name Hascheck learns words to improve its covering of Croatian texts. as processing of a certain amount of text in order to acquire basic Croatian word knowledge. The result of fitting is presented in Fig. 1, together with optimal values of free function parameters a, ∆t and τ , and with obtained correlation coefficient r. work_weka6p4pybcplgk5msixjmvjui pathologies indicated statistical differences in diagnostic performance with the two human experts. On the other hand, the use of different fuzzy associative memory (FAM) or representation of the Keywords: Expert system; Decision support system; Aquaculture; Fuzzy control; Dempster–Shafer theory Recent results have also shown that fuzzy logic systems are universal approximators for This expert system, called SEDPA, can suggest several diseases with different belief control algorithm, the result is a fuzzy output mout( y) or a categorical belief level (CBEL) However, in this case, expert D2 included in his answer possible pathologies of one file means that human expert or SEDPA generated more of one answer for this case. results obtained by experts D2 and D3 were compared in the same way to the SEDPA When the approximate answers of the human experts and SEDPA were SEDPA, an expert system for disease �diagnosis in eel rearing systems work_wfkrssjq2beuzmkovhxwnymdae Open Data for Anomaly Detection in Maritime Surveillance Then, potential maritime anomalies that can be detected by the obtained open data for the MS purpose such as information related to AIS, vessel characteristics, ports, maritime maritime anomalies that can be detected by use of the available open data sources is anomalies can be detected by use of AIS data, vessel traffic timetables in ports and pilots The required vessel traffic data can be obtained from AIS reports and ports and pilots 2) Ports and Pilots Schedule table, 3) Vessel Trip History table and 4) Detected Anomaly detected anomalies, total number of vessels and the last data collection time. the sampling frame is the vessel traffic data related to AIS, ports and pilots in the authorized data sources provide any information that declines the detected anomaly. anomalies are VESSEL_NOT_INFORMED_PORT and ARRIVAL_TIME_MISMATCHED. Algorithm 2 Detect VESSEL_NOT_INFORMED_PORT and ARRIVAL_TIME_MISMATCHED anomalies Algorithm 2 Detect VESSEL_NOT_INFORMED_PORT and ARRIVAL_TIME_MISMATCHED anomalies work_wfsjha4f5nb7vih3n7vddj25zu Practitioners use Trauma and Injury Severity Score (TRISS) models for predicting the survival probability of an injured patient. propose the Bayesian method for estimating the predictive density and show We tested the proposed Bayesian method on a set of patients registered In [33], conventional and Bayesian logistic random effects regression models were compared for predicting outcomes on a data set of 8,509 patients When Bayesian inference is employed for predictions, it is typically assumed that there exist a number of models which can appropriately approximate the relationship between predictor variables and output variable (or Figure 1: Observed and predicted survival probabilities for patients with different numbers of injuries. of the predictive density in terms of entropy of model mixing was significantly higher than that for the proposed method. Based on a regression model, the TRISS method cannot provide the estimates of predictive probability density that is required to evaluate confidence work_wg7nc7fzqfaxpc5udxvt3slr7y maceutical data, mutation databases, clinical trials, simulations 8 grated data to provide ranking of patient-specific drugs. regimen cause resistance to the drugs the patient is taking, 131 based on data sets relating mutations to changes in drug sen-146 typic data, drug levels and CD4+ and HIV-RNA patterns 187 phenotypic and genotypic data, drug levels and CD4+ and223 genotype, viral fitness, drug levels as CD4+ and HIV-RNA228 based models to study the dynamics of the HIV popula-330 drug treatment of HIV infection, in which each compu348 of the model, a large database of HIV-infected patients, col486 Show the Drugs ranking result in the ''HIV Therapy Web Retrogram: user enters patient substitutions (left), drug ranking results (right). Sloot et al.: Grid-Based HIV Expert System 15 HIV mutation databases, patient data, literature reports etc.)887 of drug therapy for HIV infection. drug resistance among patients recently infected with HIV. work_wgwslmzl2nhltp2ks7ehcdlxum Construction industry in Egypt suffers from the misunderstanding of dispute resolution management; many factors have disputes in construction projects related to contract nature. studies by investigating the disputes'' definitions, nature, parties, classification and resolutions in construction projects. the actual resolution of disputes occurs during the project construction. Managing disputes resolution in construction An expert system to manage dispute resolutions in construction projects 71 An expert system to manage dispute resolutions in construction projects 71 An expert system to manage dispute resolutions in construction projects 71 An expert system to manage dispute resolutions in construction projects 71 An expert system to manage dispute resolutions in construction projects 71 An expert system to manage dispute resolutions in construction projects 71 An expert system to manage dispute resolutions in construction projects 71 An expert system to manage dispute resolutions in construction projects in Egypt An expert system to manage dispute resolutions in construction projects in Egypt work_whsc6wp5sjgktcjru5hnfjhqyu Key words: Bayesian networks, DNA profile, forensic identification, incomplete evidence, In a simple problem of forensic DNA identification, we have a ''''trace'''' biological sample of Thus the likelihood ratio in favour of paternity (based on these data for marker simple paternity problem of section 2.1 above as a ''''Probabilistic Expert System'''', or PES Our graphical PES representation of the simple disputed paternity problem (for a single representing ''''putative father''s maternal gene'''', etc., as well as nodes for the observed The case data, and relevant allele frequencies, are given in Table 7. independence across markers, the overall likelihood ratio in favour of paternity is obtained Observed genotypes, and their frequencies, for incomplete paternity data, Case 1 other markers yielding data consistent with paternity, the possibility of a mutation may need Table 9 gives estimated overall mutation rates obtained from data from UCSC, and from work_wjbnlg73uzctpn7cjkdpeabf6m Prioritization of human capital measurement indicators using fuzzy AHP Prioritization of human capital measurement indicators prioritization of HC measurement indicators under fuzziness. Within the model, five main attributes; talent, strategical integration, cultural relevance, knowledge management, and leadership; their sub-attributes, and 20 indicators are defined. Keywords: Human capital; Measurement indicators; Fuzzy sets; AHP; Prioritization and book values of companies can be explained by intellectual capital (IC) assets not recognized in company balancesheets (Brennan & Connell, 2000). assets relating to employee knowledge and expertise, customer confidence in the company and its products, brands, Bozbura and Beskese (2005) prefers a three-part definition of intellectual capital that includes human, relational, 1. The Human Capital (HC) is the individual-level knowledge that each employee possesses (Bontis, Keow, & Implicit knowledge assets of the employees in the prioritizing any part of intellectual capital measurement and at obtaining a fuzzy prioritization of HC measurement the prioritization of HC measurement indicators. work_wjlx6pgtzzfgfjn6fwzgsx7pp4 ''e overall goal of this work was to develop a prototype expert system assisting quality control and traceability of particleboard Four different types of particleboards manufactured at the laboratory scale and in industrial plants A portable, commercially available NIR spectrometer was used for nondestructive measurements of particleboard panels. correctly classified, industrial panels produced by different manufacturing plants were classified with 98.9% success, and the Particleboard is a panel product manufactured from lignocellulosic materials, combined with an adhesive system expert system is proposed here for identification of particleboard panels with a portable, commercially available NIR Industrial wood particles obtained from a local woodprocessing sawmill, containing 25% recycled wood content, were used as a raw material for particleboard production. the first level of the expert system with broad classes representing different particleboard manufacturers or panel types. Particleboard panel discrimination at the producer level work_wkagp4tokffrvohruolrcry5kq Neural network-expert system models of relative-depth perception Degree of binocular, horizontal disparity was used by two hybrid neural network/expert system computer models to make relative-depth judgments for pairs of stimulus points. showed that horizontal disparity could be computed by the shift in activated cortical hypercolumns Simulation 2 corrected for this inaccuracy by appropriately weighting a stimulus point''s disparity value as a function at some point in the visual field, forming a depth reference area known as the horopter (Ogle, 1964). The output layer of the neural network consisted ofa 2 X 20 matrix representing hypercolumns found in Area V 1 of the visual The small inaccuracy ofthe model was due to a slight shift of the stimulus points for a given hypercolumn disparity toward the first simulation with a function that corrects each stimulus point''s disparity value on the basis of its horizontal made by the model in Simulation 2, allowsfor more accurate relative-depth judgments. work_wkfnnwuk6zhkxiy32dhnltvsfq In data mining, regression analysis is a computational tool that predicts continuous output variables from a number of independent input variables, by approximating their complex inner relationship. In terms of piece-wise regression, the existing methods in literature are usually restricted to problems of very small scale, due to their inherent non-linear In this work, a more efficient piece-wise regression method is introduced based on a novel integer linear programming formulation. of regions are known, the mixed integer linear model is proposed to simultaneously determine the locations of multiple break-points and regression coefficients regression method that proposes low-complexity functions to predict output65 random forest achieves much robust prediction performance compared with single regression tree method (Breiman, 2001; Fanelli et al., 2011). prediction is based on the instances without an explicit training phase of constructing models, thus making it one of the simplest regression methods in regression analysis modelling piece-wise linear functions, which partitions work_wm5p5jfotjc4dml76zoeqhdwnu Artificial neural networks have shown to be a powerful tool for system modelling in a wide range of applications. neural network applications to intelligent data analysis in the field of animal science. The first task is related to the prediction of weekly milk production in goat flocks, which includes a knowledge discovery stage in order to analyse the relative relevance of the different variables. used to analyse different livestock surveys by using self-organizing maps and the adaptive resonance theory, thus obtaining a qualitative Achieved results show the usefulness of neural networks in two animal science applications. Keywords: Neural networks; Multilayer perceptron; Self-organizing map; Animal science prediction, whereas the neural models used for clustering are the prediction model, and a validation set (10 goats) in order to data sets were similar with regard to the diet followed by goats ART clustering of goat farms ART clustering of goat farms work_wmgsfmulknbrham4pkvdecjybi and/or collaborative recommender systems (Adomavicius & Tuzhilin, 2005), utilitybased tools, and preference relaxation methods (Mirzadeh & Ricci, 2007). Preference Relaxation (see Section 3.1) may increase consumers'' decision-making performance through positive effects on decision quality. examines its impact on consumers'' decision-making performance in the context of preference-based search in online shops. 2000; Parra & Ruiz, 2009), and product awareness is a widely used indicator of recommender method performance that facilitates higher quality decisions (Chen & Pu, 2007; consumers'' awareness of existing products, in contrast to the non-relaxed approach, indicated by result set diversity: Similarly, results indicate that the use of the Soft Boundary Preference Relaxation mechanism improves the share of non-dominated alternatives in a result set in contrast to both Further, we demonstrated the positive impact of the Soft Boundary Preference Relaxation approach proposed here on product awareness evidenced by the diversity of items in result sets which, according to Vahidov and Ji (2005), leads to higher user satisfaction. work_wohh7ixwkferhl6m3bu2azcbzm Puerto Rico Trench: Site of a Shallow-Water Tertiary Basin and Regional Tectonic Implications: ABSTRACT; Expert System for Computer Interpretation of Beach and Nearshore Facies: ABSTRACT; Impact of Early Diagenesis of Eolian Reservoirs, Great Sand D... Puerto Rico Trench: Site of a Shallow-Water Tertiary Basin and Regional This interpretation is confirmed by the presence of widespread outcrops of middle Cretaceous through early Pliocene shallow-water bank During middle Eocene to early Pliocene time, shallow-water deposition A user-friendly, rule-based expert system has been designed for interpretation of lithofacies characteristics of beach and nearshore depositional environments. along its northeastern margin (Eastern Shelf) and along an east-westtrending structural high in the southern half of the basin (Neuquen Dorsal). Two sites of the Deep Sea DriUing Project in contrasting geologic settings provide a basis for comparison of the geochemical conditions associated with marine gas hydrates in continental margin sediments. work_wqit3j3isractbtv2fgeoweo5y Credit scoring using the clustered support vector machine Credit scoring using the clustered support vector machine This work investigates the practice of credit scoring and introduces the use of the clustered support vector machine (CSVM) for credit scorecard development. non-linear classifiers (e.g. the kernel support vector machine) have classifiers to credit scoring, which are capable of separating nonlinear data while remaining relatively inexpensive computationally, various techniques have been used to build credit scoring applications by credit analyst, researchers, and software developers. techniques have included; discriminant analysis, linear regression, In recent times, the use of more complex non-linear techniques, credit scoring applications has seen significant increases in the both applied Fisher''s (1936) discriminant analysis to credit scoring. technique for credit scoring. technique has been frequently applied to build credit scoring Eisenbeis (1978) point-out a number of the statistical problems in applying discriminant analysis to credit scorecard the most commonly used techniques in credit scoring. work_wqzwnytcxjgfhkid6c7remx4za The method of building the hyperplane which separates the convex hulls in the Euclidean space 𝑅𝑛 is proposed. prediction of the presence of severity in patients based on this method is developed and applied in practice to predict the presence of severity in patients with acute pancreatitis. accurate predicting of acute pancreatitis'' severity becomes an the second features cluster-specific baseline rates. prediction of severity in patients). Separation of the Convex Hulls. To build the convex hull conv new convex hulls and find the outliers. find the patients with severity, so we rejected the outliers from in Patients with Acute Pancreatitis. We got 8 hyperplanes which separate the convex hulls The method of separation of convex hulls in Euclidean space to predict the presence of severity in patients with acute the developed mathematical model predicting the severity of severe disease in patients with acute pancreatitis," Journal of work_wsrlm3opsvaohmqob2rfqpflsq This work aims to present and evaluate a Fuzzy-Case Based Reasoning Diagnosis system of Historical Text Keywords: Fuzzy Case based reasoning; Historical text comprehension; Diagnosis evaluation; Learner model. students'' cognitive profiles of Historical Text Comprehension. presents to the learner a historical text in the appropriate form and question-pairs with alternative answers. text includes factors/ instances, which represent the 3 cognitive categories action, state and event. historical text, one factor represents the cognitive category event, one the state and three factors represent the action. Argument completeness describes the learning difficulties of the learner concerning the cognitive categories, which the comprehension of the historical text, the recognition of the cognitive category action is more important than the A nearly low cognitive profile of a learner, during comprehension of a historical text with 5 factors and 5 corresponding the student''s answers to questions (position-justification pair values) and infers the argument completeness. work_wtbnvu5pjrd4jgueuqhkffr4qq evaluates the use of expert systems in the development of liquid chromatographic (LC) methods [6]. Expert systems that advise on parts of the problem of precision testing are available [9,10]. The repeatability system contains three modules, which cover the set-up of the test, mterpretation of results and diagnosis cure. information is available in the common data structure, a new module for method description must of the extsting systems to the common data structure and the method description module requires EXPERT SYSTEM FOR PRECISION TESTING IN VALIDATION OF LC METHODS 39 EXPERT SYSTEM FOR PRECISION TESTING IN VALIDATION OF LC METHODS 39 EXPERT SYSTEM FOR PRECISION TESTING IN VALIDATION OF LC METHODS 39 EXPERT SYSTEM FOR PRECISION TESTING IN VALIDATION OF LC METHODS 39 EXPERT SYSTEM FOR PRECISION TESTING IN VALIDATION OF LC METHODS 39 EXPERT SYSTEM FOR PRECISION TESTING IN VALIDATION OF LC METHODS 39 ruggedness test and other modules on method work_wtsndgcf35a4bnaavb7u43ux5q Improving the Efficiency of Rule -Based Expert Systems by active part in improving the performance of rule bases containing conflict sets. improve the performance of an expert system by setting up the rule base according to associative conclusion; particularly, in those expert systems with rule bases containing conflict sets. ELSE Increment the activation level of the rules associated with the contents of the R_stack ← set of rules (in descending activation level order) whose consequent''s (a) set up the knowledge base and activate rules pertaining to current available facts (once The routine in table 4 increments the activation level of certain rules according to associations that (i.e. the rules in the set S) are then sorted and stacked up in descending order of activation level. considerably less time to execute than those using rules with no activation levels. (1988) Improving the Efficiency of Expert Systems by Rule Activation. work_wukoiilterb7zhuqdvbnetghe4 Title: Interpretive structural modelling of risk sources in a virtual organisation. Interpretive structural modeling of risk sources in Virtual Organisation Keywords: virtual organisation; VO; risk; SME; interpretive structural modelling; ISM As is the case in the supply chain, the risks associated with VOs have multiple sources and (2002) have suggested that the sources of risk as they affect supply chains systems and network related risks stemming from the relationships between the supply chain, chain and virtual organisation, the network related risks have a different source as a result of methodology will be explained before mapping the relation between risk sources using ISM. this methodology, we can identify the direct and indirect relationships between risk sources in management has to pay attention to all the identified risk sources in VO. The objective of the ISM model in this research is to develop a hierarchy of risk sources that work_wuyydbnhxbeoxizs76ybyrus7y An expert system for optimizing computer aided design of post frame buildings A procedure has been developed to optimize designs of metal-clad post-frame buildings using an expert Aided Design (CAD) program to be used by the then uses this information to optimize the design based would be knowledge-based expert systems (Adeli, 1986). designs of metal-clad, post-frame buildings using a results) and expert system programs (that use rules to The program is limited to the design of metalclad, post-frame rectangular buildings that exhibit rules specified in the knowledge base. value cannot be found from the rules, the program 2. fn.MCI data file name created with MDMS. program creates an output file called fn.MCO. program to be used by the knowledge base of an expert CAD and expert system programs allows information to program, METCLAD, and uses it as a fact base. system analyzes the output based on the rules specified. work_wwko6iojtngkzdfsmilbi6w4di Knowledge acquisition for organisational problem solving : developing Knowledge acquisition to facilitate organisational problem requirements for organisational problem solving in this context, we will argue that these requirements placed upon knowledge acquisition in the cast of developing business expert Solving problems in organisations is a complex, knowledge based activity. Table 1: Stages of decision making and problem solving If this perspective is adopted, decision making and problem solving can be viewed In the complex environment of organisational problem solving, groups and their activities have before knowledge acquisition assumes a facilitator''s role in organisational problem solving, we Finally, the techniques used to investigate organisational problem solving should build a system to solve the problem'', we propose knowledge acquisition to support the people Knowledge acquisition can help group decision making The second objective of knowledge acquisition in group decision making picks up the situation knowledge acquisition, that can serve the cause of organisational problem solving by bringing work_wwwqugbjtrfxjenbid6xk6l6cq GRACO Página inicial Portal do Governo Brasileiro Atualize sua Barra de Governo Sobre a UnB Estude na UnB Graduação Pós-Graduação GRACO Grupo de Automação e Controle Página inicial Laboratórios Processos de Soldagem Robótica e Visão Computacional Automação Industrial Sistemas de Controle Sistemas Embarcados Cordões de solda são executados com precisão por robôs manipuladores. Robótica Móvel Robôs móveis inteligentes podem se locomover em ambientes desconhecidos. Sensores Inteligentes Sensores inteligentes são utilizados para detecção de defeitos em processos de fabricação. Automação Automação Predial Sistemas de automação avançados podem se adaptar às necessidades dos usuários. Robótica Robótica Robótica Robôs customizados para aplicações específicas entregam melhores resultados. Institucional História da UnB UnB em Números Reitoria Vice-Reitoria Prefeitura da UnB Arquivo Central Biblioteca Central Editora UnB Hospital Universitário Restaurante Universitário Marca UnB Campanha Institucional 2021 UnB TV Campus Universitário Darcy Ribeiro, Brasília-DF | CEP 70910-900 Telefones UnB Copyright © 2021 Universidade de Brasília. work_wxey53wxabaypntkz5udnu2ohu Medicine expert system dynamic Bayesian Network and ontology based Medicine expert system dynamic Bayesian Network and ontology based The paper proposes an application framework to be used for medicine assisted diagnosis based on ontology and Bayesian Network (DBNO). The uncertainty model is Bayesian Network and the probabilities of the variables states are stored in a profile repository. The main goal of the paper is to propose an application framework as a collaborative expert system for creating, developing and The proposed model is implemented as a software using PROTEGE as an ontology framework, NETICA API model is based on the fact that each concept defined into ontology Section 2 briefly introduces the ontology concept, the knowledge representation and the implementation of the medicine The proposed ontology addresses the medicine domain. The purpose on the proposed ontology is to be knowledge representation of the medicine domain work_wy64qplxp5ft7jjtc2f36mk7au Test persons yielding a higher verbal intelligence (class HIGH ) may have test persons belonging to di"erent verbal intelligence classes may be distinguished by word or lemma patterns, even regardless of the order of these methods under test in terms of feature removal aggressiveness and classification accuracy improvement. keyword or feature set that reflects the most important words for all classes in kNN classification), the Rocchio approach relies on distance-based decisions (from a TC point of view, the relatedness of two documents can be Baseline Approach: Class-Based vs Corpus-Based Feature Selection Figure 6 presents the accuracy results obtained using either the corpusbased or the class-based feature selection methods. Figure 6: Baseline approach: Class-Based vs Corpus-Based feature selection. By confirming these di"erences with additional statistical evidence (i.e. more data), we may also conclude that the class-based feature selection improved the performance of the corpus-based one for the NB approach not work_wzlqsnqdabbuvnv6fxugpar3we Visual and multimedia analytics provides an emerging field of research combining strengths from information analytics, geospatial analytics, scientific analytics, statistical analytics, knowledge discovery, data management and knowledge representation, presentation, production and dissemination, cognition, perception, and interaction (Chen, Chiang and Storey, 2012). computational methods in data mining, knowledge discovery, and machine learning for large-scale data analysis. (2019) propose an outlier detection method based on a clustering process. (2019) propose a new efficient hybrid similarity measure for recommender systems based on a combination of the user transformation to perform classification and (c) imputation measure for similarity computation between any two instances that can also be used The performance of the proposed classifier is studied by using imputed datasets obtained through applying Kmeans, Victor Chang https://orcid.org/0000-0002-8012-5852 An efficient hybrid similarity measure based on user interests for recommender systems. A method for outlier detection based on cluster analysis and visual expert criteria. work_x2s3rlndcrbyzivcj3ir4ve5iq Advances and trends for the development of ambient-assisted living platforms Abstract: Ambient Assisted Living (AAL) and Ambient Intelligence (AmI) try to achieve a future where technology surrounds the users diseases led to the increase of projects related with AAL and AmI. the main objective of developing an AAL platform. It features an analysis of the latest developments and points future directions for the work. These projects display the importance of the interoperability of the platforms, demonstrating a case study for AAL development. caregivers can access a sensor platform to view the current information and process it according the user profile and platform to provide information of several users. services developed in the AAL4ALL and in other platforms To test the UA, a sensor platform developed at Main users Care receivers Caregivers This sensor platform provided the information displayed in AAL, and the work developed by the Intelligent Systems work_x3r4uylvtzbapeii5sla6h4bjm work_x6d6mtrc7jhaze4yoyt45oc37y TITLE The Development of an Expert System to Tune a Beam Line The experience of developing an Expert System to""aid in the tuning of the Ion Source Injection beam line at TRIUMF is described. There are four groups of diagnostic devices in the ISIS beam line: The Development of an Expert System to Tune a Beam Line problems, and benefits of using Expert System technology to solve a problem in the beam line tuning domain. The Development of an Expert System to Tune a BPam Line 2.1 Characteristics Of Beam Line Control Problems There are characteristics common to beam line control problems. 2.2 Implications Of Beam Line Characteristics On Expert System Tools approach than traditional Expert System applications 13]. attempt is made using a technique developed by a beam line physicist best approach is to develop the expert system in a powerful high expert system project to determine the chances for success. work_x6fbaqa72nhnhazv3jeeoqz4ci A new measure function of Gini index is constructed and made to fit text categorization. show that our improvements of Gini index behave better than other methods of feature selection. Keywords: Text feature selection; Text categorization; Gini index; kNN classifier; Text preprocessing information gain, expected cross entropy, the weight of evidence of text, odds ratio, term frequency, mutual information, CHI (Yang & Pedersen, 1997; Mladenic & Grobelnik, index for text feature selection and weight-adjustment. Through deeply analyzing the principles of Gini index and text feature, we construct a new measure function of Gini index and use it to select features The performance of five feature selection measure functions on top 10 classes The performance of five feature selection measure functions on training set B The performance of five feature selection measure functions on training set B feature selection methods in text categorization. work_x7upiqlp5ra6jfzwdlzlg2wkki sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. 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Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_xao5rk2nyrdc3o6b4lxdaao2aa Keywords: hyper-heuristics, grouping problems, graph colouring, timetabling type of high level search methods that mix and control a pre-defined set of low level perturbative heuristics (operators) processing complete solutions at each step under a single-point based In this study, we describe a selection hyper-heuristic framework for grouping problems. each different problem domain, in our proposed framework the set of low level heuristics is fixed We have investigated the performance of the framework using different selection hyperheuristic components on a set of well known graph colouring benchmark instances 1. Additionally, we applied the same hyper-heuristic without any modification to a benchmark of examination timetabling instances in order to examine the generality of the framework. In this study, we describe a single-point based selection hyper-heuristic framework for grouping problems that keeps track of the non-dominated solutions, inspired from the multi-objective Algorithm 1 Hyper-heuristic framework for grouping problems work_xbz5gmt6mffjhaie5li65ru4lq evolution to incrementally acquire the dynamic knowledge of new evolved objects. new Repertory Grid-based knowledge acquisition methodology to elicit the embedded meanings of knowledge (embedded rules bearing importance of each attribute to each object in EMCUD to capture the embedded meanings with acceptable certainty factor value by knowledge based systems (KBSs) and a collaborative KBS is proposed to analyze the correlations of inference behaviors of embedded rules to construct a small AT increment to facilitate the acquisition of dynamic knowledge after experts confirming the new evolved Moreover, the significance of knowledge may change after a period of time, a trend of all attributes to each evolved object is used to construct a new AOT increment to help experts automatically adjust the relative importance of each attribute to each object dynamic knowledge of the new evolved objects from the collection of inference logs in the collaborative KBS. work_xd4mjaoh6ff7xcofswblgq4n2u Keywords: Image processing; machine learning; decision support system; colourimetric tests colour detection but also can enable diagnostic disease decision using machine learning techniques. An image processing based automatic system to be implemented on mobile platform firstly requires After processing the images, the features require analysis to generate a diagnostic decision and present it The image processing technique has to be intelligent and robust for wet chemical analysis. images vary in terms of well size, camera to ELISA plate position, light exposure and mobile phone. Fig. 1: Impact of sample and camera position with respect to ELISA plate. convenient functionality on the Android platform, OpenCV was utilised to perform the data preprocessing i.e. image processing and feature extraction. Thus, a final accuracy i.e. from image processing up to TB detection on the mobile platform, of 98.4% The prediction on the mobile platform requires the performing of image processing of the work_xf2a6wdpgbbs5gx2ibpnpn67i4 Feature selection based on information theory is a popular approach due its computational efficiency, scalability in terms of the dataset dimensionality, and independence from the classifier. To address this problem, this article introduces two new nonlinear feature selection methods, namely Feature selection is used in many application areas relevant to exert and intelligent systems, such as data mining and machine learnng, image processing, anomaly detection, bioinformatics and natural election by proposing two new nonlinear feature selection methds based on information theory. This paper also reviews existing feature selection methods highighting their common limitations and compares the performance of ection 4 discusses the limitations of current feature selection criteia, Section 5 introduces the proposed methods. To tackle this problem new methods have been proposed for selecting relevant features, which are non-redundant with Features selected by the JMIM and JMI methods have a method with this dataset with almost any number of selected features, followed by NJMIM. work_xfbt6xqu6vhfxgpwshs2iyvicu This paper proposes to identify strategic groups among franchisors from a big set of franchisor variables. Genetic evolutionary computation was used to reduce a set of variables efficiently, and factor analysis that the general map of franchisor has changed since Carney and Gedajlovic''s study, and that genetic evolutionary computation is a valid way to extract knowledge from a huge set of data. explain patterns of company-ownership versus franchisee-ownership: Resource Scarcity and Agency Theory (Alon, 2001; Carney & these groups differ in performance, examining all franchising firms Prior studies about strategic group identification among franchisor have only considered a few numbers of variables. variables for Canadian franchisor strategic group identification, All of them have utilized factor analysis as the multivariate statistic tool for strategic group identification (Hsia, Hsu, & Jen, 2009; Var05 Average number of outlets opening per year since first franchise �.008 .567 .739 �.098 �.043 work_xfej6opxpfcevg7z7op52o6oti In 2004, the English Department of Health introduced a technology (Choose and Book) designed to help Referral to hospital using Choose and Book technology. date to be obtained immediately, but if the provider''s system was not yet integrated with Choose and Book, the patient was sent a letter by the practice with a reference In contrast, socio-technical systems theory proposes that technologies and work practices are best co-designed informed of the key differences between local (and national) providers in a particular service, in 2007 the Department of Health the dynamic between attempts to control behaviour from a distance on the basis of abstract criteria and the local values, judgements and practices of GPs and their staff)? This mainly comprised direct observations of work practices relating to referral, whether undertaken manually or with Choose and Book (hence, it afforded a Choose and book e Patient''s choice of hospital and work_xhcrfzwowzhmfhswpyutuwpriq Many enterprises have been devoting a significant portion of their budget to new product development (NPD) in order to distinguish develop products that fulfill the customer demands, since this will increase the enterprise''s competitiveness and it is an essential criterion This paper presents the product map obtained from data mining results, which investigates the The product map shows that different knowledge patterns and rules can be extracted from customers to develop new cosmetic products and possible marketing solutions. extract customer knowledge from the demand side and use this as a knowledge resource on its supply chain for new product Keywords: New product development; Product map; Data mining; Association rules; Knowledge extraction Knowledge of customers extracted through data mining can be integrated with product and marketing knowledge from research and then provided to both the development of new cosmetic products: What exactly are the customers'' ''''needs'''' and ''''wants'''' for cosmetic products? work_xiz4awv5abeq3j7rnryxvcnjhq Intelligent system architecture for process operation support Intelligent system architecture for process operation support gateway, data processing and analysis, on-line process monitoring and diagnosis, on-line operation manual, equipment maintenance Keywords: Intelligent system architecture; Process operation support; Arti®cial intelligence vast amount of raw data in production planning, maintenance scheduling and process operation. systems such as process operation support (POS) system. real-time data calibration, model identi®cation of poorlyunderstood or complex systems (Leonard & Kramer, CBR uses past problem-solving knowledge, including success or failure results, to ®nd a solution to new rule sets, past solved problems, process models and realtime data in an object-oriented environment; and (iii) integrate multiple problem solving tasks and application In this paper, an intelligent POS system platform, INTEMOR (INTElligent Multimedia system for On-line Realtime application), is developed based on the integrated processing, information management and knowledge integration. information ¯ow architecture for POS systems is shown in Generic information ¯ow architecture for POS systems. work_xjfxdj37xfdyjcezj2nj3cnaki Ensemble based sensing anomaly detection in wireless sensor networks This paper tackles the sensing anomaly detection from a new perspective by modeling the correct operation of sensors not by one, but by five different ensemble based system composed of a set of diverse binary classifiers, adequately selected, to implement Moreover, every time a sensing anomaly is discovered, our ensemble offers a reliable estimation to replace the erroneous measurement provided by From this perspective we developed five classifiers that combine the two kinds of input data (measurement time series provided by the sensor under Classifier''s autoregressive prediction block receives past measurement values provided by the sensor under investigation: In case a measurement provided by the sensor under investigation is considered abnormal, the ensemble decision block offers a (data not used in ensemble training) obtained through computer simulations or using experimental sensor deployments in a real environment. work_xlnsdo7nybgjpcrbtjnknkurzu or analyst in his application code m a i n t e n F c e tasks, (2) generating and updating automatically sonware correction documentation, (3) helping t h e end user register, and possibly interpret, observed errors on the successive application code versions. network based code description, on diagnostic inference procedure based on context based pattern classification, on maintenance log report generators, and on interfacing capabilities Knowledge-based software assistant (KBSA)/Kestrel Institute, Intelligent program editor/Advanced Information and decision systems, POISE Interactive programming environment/Univ. However, little work h a s dealt so far with knowledge based software maintenance, incorporating some of the relevant approaches and tools mentioned above in 1): see knowledge based software maintenance system SOFTM The SOFTM knowledge based software maintenance environment in Prolog I1 [491 h a s been supplemented, besides the interfaces to t h e operating system, compiler, and higher level work_xmzjxygacbc4ppd4fjfebxzdca work_xotjmd5wzngnxjgiycecmqhfcq small-scale short-term national econometric model, (2) Methodology of Interactive Nonlinear Goal Programming (MINGP), (3) data-base of historical macro-economic model the optimum macro-economic policy of a developing country (SFRY-formerly methodologically based on linear goal programming and feasible directions method. Keywords: Expert systems, econometric model, national macro-economic policy, multicriterial decision-making, interactive nonlinear goal programming, Pareto optimality, Cobb-Douglas''s been defined as an optimization problem, a nonlinear goal-programming model and a new interactive goal programming methodology for problem solving have been nonlinear goal programming models where Cobb-Douglas type nonlinear constraints econometric methods, simulation models of economic development were created using because Cobb-Douglas''s production function is used and also because two other nonlinear equations are used to link constant and variable prices. As it is known, economic policy measures in econometric models are presented 3 The solution of multi-objective programming problem in which satisfying of less important goal for a national policy model simulation within ESNEMS mathematical methods work_xq2h2ueqobfi7hymgnxzhxz4t4 Expert system for hot forging design Planning hot forging processes is a time-consuming activity with high costs involved because of the trial-and-error iterative reduce the time needed to design precision forged parts and dies from machined parts. Visual Basic v.5.0 and SolidEdge v.3.0 was used to design flashless hot forged gears, chosen from families of gears. Keywords: Expert system; Hot forging; Die design Biswas and Knight [10] point out that the rationalization and automation of the procedures by expert systems bring benefits to the hot forging industry like 2. Planning precision hot forging processes The planning of a new hot forging process can be to design dies and plan precision hot forging using The ADHFD (automated design of hot forging dies) is being developed to work The forging process of the gear shown in Fig. 3 was The expert system ADHFD showed good performance when aiding the design of flashless hot forged work_xq42u5f77na3pps3pym35robem represent the behavior of daily equity index returns over the period 1979–2014: the skewed Student-t tarting with Eberlein and Keller (1995), the normal inverse Gausian (NIG) distribution is used to model financial returns and To this end, we consider the following flexible distriutions that are commonly used in finance: the skewed Studentdistribution, the GLD, the NIG distribution, the Johnson system The top figure shows the AD statistics of the skewed-t distribution, generalized lambda distribution (GLD), normal inverse Gaussian (NIG) distribution, Johnson SU family, and g-and-h distribution for Canada over all sub-periods starting with lambda distribution (GLD), normal inverse Gaussian (NIG) distribution, Johnson SU family, and g-and-h distribution for Mexico over all sub-periods starting with 1994–1996. is rejected once according to both KS and AD test statistics; the normal inverse Gaussian (NIG) distribution is sub-period 1979–1981, the generalized lambda distribution (GLD), Johnson SU family, normal inverse Gaussian work_xrosz555njd4jf3375ostnmdmm create a finite state transducer based information extraction library to extract models from résumés and job descriptions. 2. We proposed a finite state transducer based matching tool to extract information from unstructured data source, which is a lightweight and flexible library, Two import problems of content-based Job Recommender Systems, Information Extraction and Similarity Calculation, will be fully transducer library which can match patterns in sentence, and extracts related information. data set of job descriptions as documents, and use résumés as query to retrieval documents. 3. In the systems the information fields to match résumés and job descriptions system will compare the similarity values between the résumé and the job models, 5. When a user searches the jobs with their résumé, the Ontology Matcher calculates the similarity values of jobs in the database and returns the jobs ranked sentences that matching the pattern in Table 7.2 from a set of job descriptions. work_xt5lrac64vgajg4ssffkqsiucu with uncertain and ambiguous knowledge and can annotate images with concepts on different levels of abstraction that is more human-like. of the classified image segments, automatic scene recognition, and the inference of generalized and derived The key components of the proposed multi-layered image annoation system are the KRFPN scheme based on Fuzzy Petri Net foralism and integrated fuzzy inference engine. mages in the Fig. 1, one can use concepts that are related to the obects that appear in the image (sand, sea, sky, snow), concepts that repesent the scene (beach, coast, coastline, shore, seashore), more general For instance, the proposed multi-layered image annotation related to Fig. 1c is EC = {snow, polar bear}; SC = {Scene-Polarbear}; GC defined according to expert knowledge; a set � includes a relationship occurs_with between elementary classes that models the common occurrence of elementary classes in the image and its negation work_xvfefljjunfblp4nyjja7f4dy4 Developing Backward Chaining Algorithm of Inference Engine in Ternary Grid Expert System method, technique or engine working on ternary grid knowledge backward chaining process in ternary grid expert system. expert system that can work in ternary grid knowledge model. The strategy to inference knowledge uses backward chaining with Keywordsexpert systems; ternary grid; inference engine; knowledge expert or knowledge engineer can reference rules processed by rule-based inference machine to deliver solution. inference engine of ternary grid expert system. inference engine of ternary grid expert system. engine of expert system based on Ternary Grid. knowledge base by firing rules and facts [9]. process of inference engine of expert system. inference process of the expert system in ternary grid uses Result of inference process using backward chaining algorithm The developed inference engine using backward chaining [5] Erdani, Yuliadi, Acquisition of Human Expert Knowledge for Rulebased Knowledge-based Systems using Ternary Grid, Verlag – work_xvokgoinujc6dfyjg4yqhyecqu A novel feature fusion based on the evolutionary features for protein fold recognition using support vector machines extracting features from protein sequences and using a strong classifier. In this study, we integrate Auto-Cross-Covariance (ACC) and Separated dimer (SD) evolutionary feature extraction According to three benchmark datasets, DD, RDD and EDD, the results of the support vector machine (SVM) show Keywords: Protein Fold Recognition, Feature fusion, Evolutionary method, IG, Support Vector Machine vital stage for predicting protein fold is feature extraction. methods of protein fold recognition, we found that less attention has been paid to the fusion of features to get more features, we use Auto-Cross-Covariance(ACC)[8] and Separated dimer(SD)[7] methods. extraction methods based on Position Specific Scoring Matrix(PSSM) generated by using the Position-Specific Iterated BLAST(PSI-BLAST) profile to predict protein fold. extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition, Journal of theoretical biology 320 (2013) 41–46. work_xwpv56g5gbe5hg3awggpwntadi We focus on the efficiency and accuracy of using a phone to monitor the driver''s walking trajectory, applying a waist-mounted PDR method In addition, we design a map matching algorithm to calibrate the direction errors when the driver is in an indoor environment, using widelyavailable building floor plans. contrast, we utilize the sensors in the user''s smart-phone to automatically infer the parking space''s availability in advance by tracking the trajectory of the driver. Merminod, 2002), while in an indoor environment some PDR systems use a map matching mechanism to calibrate these errors our map-matching approach is its need to collect ''''enough'''' trajectory data before it can uniquely identify the user''s position on the between the trajectory data and the map, we propose a new mapmatching method that uses the floor plan to locate the user. the step length is estimated based on the filtered sensor data and work_xwrdekolhnhxtlhoztfrjmm53q algorithm for the sensitive association rules hiding (COA4ARH). o propose a new algorithm in privacy preserving association rule escribes the proposed algorithm for hiding association rules and α The number of total iterations of right hand side items of sensitive rules N max The maximum number of survived solutions with better fitness values Fitness function, function to find the best solution and immigration function are shown in Algorithms 2, 3 and 4 and these Number of Different Items = Hamming distance (Current Solution, Best ight hand side items of sensitive rules in critical transactions, reeived as algorithm input. for hiding sensitive association rules using cuckoo optimization algorithm. The proposed algorithm is capable of simultaneously hiding several sensitive association rules. Improved genetic algorithm approach for sensitive association rules hiding. Association rule hiding using cuckoo optimization algorithm Association rule hiding using cuckoo optimization algorithm Association rule hiding using cuckoo optimization algorithm work_xxbtc7zagfg4tgpxdors5gbbfi The CFP, VFI5, and FIL.IF algorithms represent concept descriptions in the form of feature intervals, which are learned separately for each feature. rates), learns feature intervals separately for each feature by optimally partitioning feature values to minimize the feature classification error. Section 3 presents the optimal feature partitioning learning algorithm for classification. 4. Section 5 presents the greedy feature partitioning learning algorithm for classification. (Duda, Hart, & Stork, 2000; Fukunaga, 1990). 3. OFP.MC: Optimal feature partitioning learning algorithm for the arbitrary division of the labeled examples into training and validation sets, the average misclassification rates and their standard errors For each maximum number of label switchings k, optimal feature intervals are learned from the training data and the performance (the misclassification rate) is calculated on the validation By using the entire set of labeled examples and the dynamic programming algorithm, those features are partitioned optimally into Feature interval learning algorithms for classification. 3 OFP.MC: Optimal feature partitioning learning algorithm for classification work_xxxmjye7hndnvduxtaf33a57ma Jon has been on the editorial board of Expert Systems Four new associate editors have been appointed to join Dr Elif Ubeyli, who will also past experience with Expert Systems and their dedication as reviewers and guest Previous editorial roles include guest editor of special issues of His research interests include expert Information Systems and Mathematics at Kingston University, UK. Andrés Silva is an Associate Professor in the Computer Science School of the of several research papers published at major conferences (including ICSE) and journals (including IEEE Software, IEEE Transactions on Software Engineering and Electronics Engineering, TOBB University of Economics and Technology. journals, including the Journal of Engineering and Applied Sciences, the International Li Xu is a Professor of Information Technology at Old Dominion University, USA. the Editor-in-Chief of Enterprise Information Systems (published by Taylor & Francis) and a member of the editorial board of Systems Research and Behavioural Science work_xy6hzbddgretvirrb2rknk2beu The validation results, with a negative predictive value (NPV) of 91%, demonstrate its applicability to help clinicians. The final model was implemented as a web application that is currently been validated by clinician a Bayesian Network model trained with a dataset of 1164 cases. Most of the input variables are binary, and hence they are converted to discrete nodes of the Bayesian Network directly. This tool evaluates the risk of heart attack on incoming patients with chest pain in cases, a probabilistic inference motor based on a Bayesian Network in the form with the evidences from the incoming patient (symptoms and clinical history); then the application processes the data The tool uses a Bayesian Network to evaluate the risk of suffering a heart attack. model uses a FAN network structure with discrete nodes. Expert system for predicting unstable angina based on Bayesian networks Expert system for predicting unstable angina based on Bayesian networks work_xyjg77ll3vdwzpdb44t55ogj3y XCS model can dynamically learn and adapt to the change of environments for maximizing the desired goals. This paper conducts simulation to apply XCS to global asset allocation in the country-specific exchanged traded Since international stock price trend is influenced by unknown and unpredictable surroundings, using XCS to model the fluctuations on global financial market allows for the discovery of the patterns of the future trends. benchmark data set available at the 24 iShares MSCI (Morgan Stanley Capital International) country funds. Shukla & Singh, 1997 evaluated the performance of the US-based global equity mutual funds during The country-specific ETFs global asset allocation is an investment strategy that attempts to exploit short-term international Like country-specific open and closed-end index funds, countryspecific iShares increase mean–variance efficiency. XCS is based on the Learning Classifier System (LCS) (Holland, Sharpe ratio global asset allocation with the XCS model global work_y3qc2gtvuvabbgs5bv4d2r5rii This paper describes an application of an adaptive order-tracking technique for the diagnosis of faults in investigation is implemented to evaluate the proposed system in two applications of gear-set defect diagnosis and in the diagnosis of damaged engine turbocharger blades. in diagnosis using the order-tracking technique has grown significantly, having advanced with the progress of digital signal processing algorithms and technology in the last two decades (Biswas, In this study, an adaptive order-tracking fault diagnostic technique using both vibration signals and sound emissions is applied and Chen (2002) there exists some conclusions for adaptive filtering algorithms and their application to order-tracking techniques. Order figures of vibration signals for gear-set using adaptive RLS filter. Order figures of sound emission signals for gear-set using adaptive RLS filter. An expert system for the diagnosis of faults in rotating machinery using adaptive order-tracking algorithm An expert system for the diagnosis of faults in rotating machinery using adaptive order-tracking algorithm work_y5gundfmajhthiisdlveuwlnye of integrated multiple criteria decision making approach by SAS users, an ORMCDM code selects the chosen variables from a SAS data file and constructs sets of linear programming combined AHP-mixed integer linear programming (MILP) model approach for the network solution to a multi-criteria logistics distribution problem by solving the combined AHP-GP formulated to select the optimal set of warehouses while considering the AHP priorities of include total lead time, reliability of order fulfillment, quality, flexibility of capacity, and 3. ORMCDM: SAS code for multi-criteria logistics distribution network design The ORMCDM requires one data set containing name of "warehouses", name of "customers", Macro %model1 creates a suitable data set that can be used for PROC LP. Macro %model2 defines seven data sets that could be used to solve the multi-criteria logistics * A SAS macro for the multi-criteria logistics distribution network design; Multi-criteria logistics distribution network design using SAS/OR Multi-criteria logistics distribution network design using SAS/OR work_y6kn666wmrc5xidvufq5vk6rfu Case-based Reasoning for Predicting the Success of Case-based reasoning for predicting the success of therapy Case-based reasoning for predicting the success of therapy predicting the effect of treatments for patients with anxiety disorders. Keywords: case-based reasoning, prediction, forecasting-by-analogy, weighted voting, information gain, nearest neighbour method, accuracy, mental health care, treatment outcome, anxiety disorders In this study, we aim to use case-based reasoning (CBR) to make treatment predictions, a CBR system called CBRth the values of these nominal and ordinal features as scores, the casebase (Section 3.3) but also cases of patients that Table 1: Features used in case-based reasoning therapy For CBRth, we use CBR to predict in which class a new values of the Cl. The prediction for the target case is the Figure 4: Results case-based reasoning therapy with K = max 1. CBRth with the gain as feature weight gives better results. predictions are based on more similar cases. work_y6p3hegtendnvedua5ze75kcie data points is equivalent to the following problem: given an infeasible set of linear inequalities, inequalities for the data points, the complete set of constraints integrates both hyperplane Algorithm 2: Adding features before hyperplane placement (AddB). Algorithm 4: Selecting features by adding them after a separation is available (AddA). algorithm that includes the feature constraints directly in Alg. 1 along with the data point Algorithm 5: Selecting features by removing them after a linear separation is available (DelA). data sets have more than 10 features: musk1, sonar, vehicle, wdbc, wine, and wpbc. Three new algorithms select features using the SINF-based filter prior to placing the separating and number of features shown relative to the 10-fold test set results for the Orig algorithm. The Int algorithm integrates hyperplane placement and feature selection, as shown in Alg. 6.  New methods for selecting features after a separating hyperplane has already been work_y77b4oflprad3eump2g5d5kryu of contexts of access to the EHR, to exploit the logical division of the information inside each document of them just focus on the definition of data structures and documents to organize the information provided by the EHR, offering solve it are based on the improvement of the information retrieval by the definition of different contexts and business models (as This is why we propose to analyze the daily practice of the medical staff, and follow the same philosophy as these solutions, to improve their access to the information in the EHR based on the method to identify when a medical doctor accesses an EHR in a given context. pertinence of the data groups to the context is computed considering the most updated information. documents with several data groups, and indicate how we compute their pertinence to each context. With this subset of documents we calculate the different pertinences for each of the data groups to the context C1. work_y7yspggtcnehnjrulleogza6ei Recent studies have pointed out several limitations of expert systems regarding user needs, and Recent studies have pointed out several limitations of expert systems regarding user needs, and focuses on the relation between explanation and cooperative problem solving, the second, on design dialogues supports this claim, and suggests how task goals and users'' knowledge may design of expert system has focused on problem solving, not on the user''s needs. When expert systems provide solutions, they do not always solve the user''s problem. Users need to understand system actions in problem solving as well as the result of the Sometimes users do not understand the explanation that is generated by the system, or need that is needed for explanation must be elicited with the knowledge for the problem solving • Second, cooperative explanations may be produced by using a user model. Explanations could serve the cooperation only if both agents--the system and the user-- work_ya7rjomoergo7pknkz4264ygcm Neural Network for Dynamic Human Motion Prediction (GRNN), to provide real-time computation of DHM motion prediction, where the underlying Keywords: digital human modeling, artificial neural networks, motion prediction, general this work presents the use of an artificial neural network (ANN) to provide fast motion and reproduce human motion during various tasks, or using physics-based methods (Xiang, Digital human model and physics-based motion prediction computer-based human that predicts, among other things, static posture, dynamic motion, joint predictive dynamics arises when one wants to simulate the human motion for any task. The use of GRNN to simulate dynamic human motion quickly is applied and tested on trained with cases produced from PD, the network can simulate motions instantly for new results of the test cases, all the produced motions from the GRNN and PD are compared visually New neural network for real-time human dynamic motion prediction. work_ybizrrzcsreqdjy7yzi7k22t6a in which case recommendations must take into account the tastes and preferences of all the users in the group [1]. For example, different users may have different expectations about the resulting group profile, may want to impose their preferences been successful, these preferences are then used to select the list of recommended items for the whole group, which is then shown to the real users. The key aspect of the recommendation is the elicitation of the group preference model, which is obtained by means of a mediated negotiation process easier that the group accepts a preference proposed by many UserAgents. mechanism, the user indicates the UserAgent in which order his/her preferences should be accepted/proposed by means of the definition of the levels of preferences already or about to be proposed by the UserAgent are accepted and, therefore, the idea of negotiating first with the most-valued work_ydnlz7hxyjcpjfs7ldp3sy4upq work_yeyqio5mnjehhhco2g5avg33ii the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is applied to the optimization of linear in the second part of the paper to represent linear transformations by means of rotation angles and scaling factors, based on the Singular Value Decomposition theorem (SVD). In the second method, transformations are coded as rotation matrices and Second method: rotation angles and scaling matrix With regard to the remaining domains, CMA-ES diagonal obtains significatively better results than KNN on the original data This table adds to Table 3 a new column for our classification rate (percentage) with KNN (k = 1) for the transformed data when scaling factors and rotation angles are directly the results as expected: KNN obtains a very bad classification accuracy on the original data (9.2%) and when a diagonal matrix is used domains, both synthetic and real, and the results show that, in general, both diagonal and square matrices found by CMA-ES either work_ygp5ozz6xjbshppuusoq74ur5q Skip to main content You must sign in to view this page. Your version of My Warwick for iOS is outdated. Due to a bug affecting this version, you may be unable to login. Please download the latest update from the App Store. Username Password Until I close my browser All day For three months Indefinitely until I sign out Sign in Sign in Sign in Sign in Find my account Acceptable use policy Address https://warwick.ac.uk/fac/sci/dcs/research/pcav/publications/pubs/eswa-2006.pdf Service warwick.ac.uk warwick.ac.uk © MMXXI Terms Privacy Cookies Accessibility work_yhmhpetxjjertmjquf7qfk2lqm In this paper, an expert diagnosis system is presented for interpretation of the Doppler signals of the heart valve diseases based on the This paper especially deals with the feature extraction from measured Doppler signal waveforms at the heart valve using Wavelet transforms and short time Fourier transform methods are used to feature extract from the Doppler signals on Wavelet entropy method is applied to these features. Keywords: Pattern recognition; Doppler heart sounds; Heart valves; Feature extraction; Wavelet decomposition; Spectrograms; Neural networks; Expert classify Doppler signals using pattern recognition (Chan, Doppler heart signals, wavelet decomposition, STFT, signals in the diagnosis of heart valve diseases is time wavelet decomposition sampled at different frequencies at every level or stage. The Doppler signals of the heart valves decomposition of the Doppler sound signal of the heart The wavelet entropy of the DHS signal. wavelet packet decomposition for heart sound signals. work_yhzgueixzzcctpoq2kvu2tead4 We propose a new notation for service systems that consist in three fields: customer, scheduling problems in service systems and present a structure of a Knowledge Based System (KBS) to solve it. We propose a notation to represent a service system to identify the scheduling problem and suggest a solution technique. notation applies for several scheduling problems mainly in manufacturing environments, however, for the service systems, based expert system to solve the scheduling problem in service systems system to solve the scheduling problem in service systems(Lopez-Santana, Castro, & Giraldo, 2016) Figure 4: General structure of the proposed rule-based system to scheduling for service systems. This paper reviews the scheduling problems in service systems and presents a structure of a rule-based system to identify set of variables, which are used as input of the proposed rule-based systems to identify the scheduling problems between a work_yi53c4vi4vh7zm74av6hnaqm6u Hybrid Reasoning Model for Strengthening the problem solving capability of Expert Systems and weaknesses of various reasoning models, case-based problem solving; hybrid reasoning models; case based reasoning; CBR; model based reasoning; MBR; rule based reasoning;RBR Model-based reasoning (MBR) is an approach in which The advantages of case-based reasoning include: The disadvantages of case-based reasoning include: when confronted with a novel problem, model based reasoners the knowledge base and the processes of problem solving and The Figure 7 illustrates that problem solving in "KNAPSCR" is performed by a combination of model-based, casebased and rule-based reasoning (MBR, CBR and RBR, reminding threshold case based problem solving is tried, & V. MODEL OF COMBINED REASONING (CBR, RBR & Combined Reasoning in "KNAPS-CR" (CBR = Case-Based knowledge base by learning from each problem solving Rule-Based Reasoning: A Heuristic Approach",pp534-530 Combining Rule-Based and Case-Based Reasoning" Case-Based Reasoning System Development. (2006) A hybrid rule-based/case-based reasoning work_yjcmqmv2rfca5c3iogj7b3474u femtocells, is widely used for communication among meter collectors and the head end. Because meter collectors and lawful femtocells are deployed at the fixed location, there is a notable difference between signal An expert system is developed to detect rogue femtocells and prevent meter collectors from attaching to Numerical simulation indicates that the proposed approach can detect both stationary and moving rogue femtocells online. to a rogue femtocell, the meter collectors as well as associated once meter collectors are replaced by the ones that communicate with UMTS and LTE mobile network. neighboring lawful femtocells sensed by a meter collector (ii) Wireless access network: meter collectors communicate with the head end of an OMS via public Identity (IMEI) of meter collectors via the rogue femtocells rogue femtocells, Euclidean distances among lawful femtocells are lower than the threshold, and meter collectors moving rogue femtocell forces the meter collector to attach work_yjmptpq6ezd33c2m2i7y2tkhke Keywords: Flexible Manufacturing Systems (FMS), Native Non-Permutation Flowshop Scheduling (NPFS), The job sequence of each machine remains unchanged in a permutation flowshop (PFS) scheduling, while in a non-permutation flowshop (NPFS) the sequence of jobs can be different on subsequent machines. The genesis of native Non-Permutation Flowshop Scheduling (NPFS) and alternatives from the literature to model and approach In their last approach, Lin and Ying use a PFS schedule as the initial solution of their tabu search (non-native). Disjunctive graph (digraph) for flowshop scheduling, with processing times p i j at nodes O i j for n (=4) jobs on m (=4) machines or approach to generate an acyclic digraph is proposed by Rossi and Dini (2007) considering the list scheduler heuristic method and which fulfills all the problem constraints (2) to (8) to generate native non-permutation flowshop schedules. The proposed native-NPFS ACO based on the list scheduling heuristics described guides ants to select the most work_ykea5tf5gbc27c57bssvjhynl4 FMs are subject to change since the set of features and their relationships can change along an SPL lifecycle. kinds of consistency constraints and the primitive operations we define, the experiments present a significant improvement in performance results in those cases where they are applicable. Consistent FMs are needed to any further steps in SPL engineering such as verifying product derivation (Lutz, 2008) or checking for the consistency of product requirements (Lauenroth & Pohl, Section 7 evaluates our approach by experiments on randomly generated FMs with thousands of features. 1997; Rundensteiner, Leem, & Ra, 1998), we suggest a set of primitive operations on FMs in Table 2 (Guo & Wang, 2010). Take the FM shown in Fig. 1 for example, to remove the non-terminal feature ''''f1'''' from the FM, the change RevNF has only one primitive operations (defined in Table 2) randomly on the generated FMs. Based on the dependency matrix, a set of additional work_yn3oefrdz5gnfnwlbederzvioi This paper presents a fuzzy CBR (case-based reasoning) technique for generating new product ideas from a product database for Based on the usescenario attributes and their relative weights – determined by a fuzzy AHP technique, a fuzzy CBR retrieving mechanism is developed fuzzy CBR mechanism is developed to screen the retrieved product ideas in order to obtain a higher ratio of valuable product ideas. Keywords: New product development; Case-based reasoning; Fuzzy CBR; Fuzzy AHP The 100-attribute product representation for generating new product ideas are developed based In retrieving product ideas, we have to determine the relative importance of the five dimensions of target customers'' use-scenario. First, only important attributes in baseline product B are included in a retrieval key set. that utilizes the use-scenario attributes for retrieving product-ideas. A fuzzy CBR technique for generating product ideas A fuzzy CBR technique for generating product ideas work_yn7bzumlpjdarpfazw5wvrnhwq In this paper, a robust radial basis function (RBF) network based classifier is proposed for polarimetric decomposition based pixel values with textural information (contrast, correlation, energy, and homogeneity) in the feature set, and employing automated evolutionary RBF classifier for the pattern recognition (1999) proposed a new unsupervised classification method based on combination of polarimetric target decomposition (Cloude & Pottier, 1997) and the maximum likelihood Earlier work on RBF classifiers for polarimetric SAR image classification Overview of the evolutionary RBF network classifier design for polarimetric SAR image. In order to test robustness of the proposed RBF network classifier trained by the MD-PSO based dynamic clustering, 20 independent runs are performed over the San Francisco area image and the Next, the proposed evolutionary RBF classifier with the suggested feature set has been applied to the polarimetric image of pixels with 11 identified crop classes {stem beans, potatoes, lucerne, wheat, peas, sugar beet, rape seed, grass, forest, bare soil, work_yndx5yho5bcrlj242qnmjly7sy Application of Expert System with Fuzzy Logic in Teachers'' Performance Evaluation Application of Expert System with Fuzzy Logic in Keywords— Expert System, Fuzzy Random Variables, Decision In this paper a fuzzy expert system''s model is designed to applications of expert system & fuzzy logic in teachers'' worked on the applications of fuzzy logic in education & applying the fuzzy set theory to teaching assessment. presented a fuzzy set approach to the assessment of studentcantered learning. teachers'' performance and also the experts'' ranked these High, Medium, or Low by the academic evaluators in higher performance assessment at higher education institutions. subject experts in the knowledge acquisition process and Teachers'' Performance Evaluation in Higher Education Teachers'' Performance Evaluation in Higher Education Before entering input case to the fuzzy expert system, let''s fuzzy expert system for calculating decision making score. After completion of the input data the Fuzzy Expert work_yokg7gijqvg7dosuvszkjtj5qm Keywords: Asymmetric traveling salesman problem, genetic algorithm, crossover operator, metaheuristics All these facts have encouraged us to present a powerful new approximation algorithm to solve the ATSP, with the aim of improving results given by previous ATSP The main feature of our GA is the use of an edge assembly crossover (EAX) operator, which was originally proposed by Nagata and Kobayashi (1997) for both the STSP Section 2 presents the genetic algorithm for the ATSP, Section 3 shows the computational results obtained for the set of of parents, EAX-1AB generates offspring solutions, where nch refers to the number the population diversity because EAX-1AB frequently generates offspring solutions Thus, we have a set of 126 ATSP instances with known optimal solution obtained from the aforementioned work, and with a number of vertices between 64 In Table 3, we show the results on this set of ATSP instances obtained with our work_yp2pscg5uzfkznskjeybku2cly work_ype7zimnyvbpflbkklchrnzlsq Expert Systems: can they aid geological interpretation and evaluation? Expert Systems: can they aid geological interpretation and evaluation? expert knowledge to the interpretation of analytical data was user ''argue'' about current evaluation of an oil prospect. exploration applications of expert systems. Toll (Durham University) described a geotechnical expert system which how an expert system had aided a project established to evaluate prospectivity for buried Pb/Zn/F/Ba mineralization. used an expert system shell to guide the user through the various steps of mineralization modelling from a multidisciplinary database for the East Midlands. (University of Ulster) described an expert system, (Birmingham University) described another expert system for On the evidence of the meeting, expert systems are being Many of the geological expert systems This is the classic area of application of small expert where expert systems will find their true home in geological work_yrlqw2ryznbwzp3nexixu5zhv4 We also showed empirically that no signal alone is a good SDB screening in children. osen, Palermo, Larkin, & Redline, 2002). Jarvis and Mitra (2000) Apnea diagnosis based on ECG signal. To extract relevant features from an ECG signal, it is important to Fig. 2 shows a sample of an ECG signal corresponding to the Before extracting features, all signals had to be normalized to igore the variance associated with natural variations among different With all these transformations the resulting feature set to characterize the ECG signal is: meanHRV, varHRV, meanEDR, varEDR, RMSSD and Finally, features extracted from each EEG signal correspond to the Processed EEG signal corresponding to patient A0001945. Different Wavelet Decompositions (blue) for the Thoracic Effort Signal (red) corresponding to patient A0000678. 17 shows a time window of the Oxygen Saturation Signal colected by a PSG from patient A0001183. Detection of sleep apnea from surface ecg based on features extracted by work_yua7i7nk7jhmvbqozyerpfcdzm This paper aims to cluster Chinese patent documents with the structures. map (SOM) is adopted to cluster Chinese patent documents with both similar content and structure. number of patents are proportional to the computing time, which implies the width and depth of structure affects the performance of and Iwayama (2003) provides a rhetorical method to categorize Japanese patent structure into three styles – process SOM provides unsupervised neural network clustering and maps high dimension SOMSD (Sperduti, 2001) applies self-organizing map (SOM) to manipulate structured data. This study is intended to apply Chinese patent documents in structure clustering. Having the structure established, self-organizing map (SOM) is Chapter 3 proposes structured SOM to cluster patents. This paper applies structured SOM in Chinese patents and tries to identify similar With 10 documents in five iteration of 5 · 5 map, structured SOM is Structure clustering for Chinese patent documents Structure clustering for Chinese patent documents work_yuerlbpcxfbnphesk7mnzuikrq This paper presents a web-oriented expert system, named iHurdling, to predict results and generate training loads for 110 LASSO, elastic net and nonlinear models in the form of a radial basis function neural network and fuzzy rule-based system. It allows the athlete''s results to be predicted and can generate training loads for an athlete, Keywords Predictive models � Expert system � Hurdles race � R programming language paper [43] describes the use of linear and nonlinear multivariable models as tools to predict the results of 400 m proposed using an artificial neural network (ANN) to model swimming performance in the 200 m individual medley and the 400 m front The models for result prediction (PR) and for generating training loads (GT) were build using 21 variables is a method of evaluating the generalization ability (prediction for new data, not involved in modelling) of the Fig. 3 Cross-validation errors for nonlinear models (RBF, FUZZY, fc) in result prediction work_yugouyrzlvhj3bcnaeeh7bhj34 the detection of arthritis using an adaptive hierarchical Mamdani fuzzy expert system (DA-AH-MFES). are rest pain, morning stiffness, body pain, joint infection, swelling, redness, past injury and age that detects output fuzzy inference system model to diagnosis arthritis based and medical parameters rheumatoid Factor (RF) and anticyclic citrullinated peptide antibody (ANTI-CCP). variables age, morning-stiffness, body-pain, jointinfection, rest-pain, redness, swelling, past-injury and in proposed automated Diagnosis Arthritis using mamdani inference based expert system can be expressed in mathematically Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System work_yvcxfxdiqvh3tfyo4debbsim3u This research explores the cause variables, which affect employee involvement via diverse orientations. and effect of individual characteristic of personality traits, organizational climate of perspective of Chinese society relationship orientation, and internal marketing upon employee involvement. According to the empirical research finding, high-intensity internal marketing generates positive impact upon employee involvement and low-intensity internal marketing results in negative impact upon employee involvement; the effect of sentiment relationship upon employee involvement is prominent and positive; employees with personality traits of internal control reveal higher level of involvement than those with Keywords: Employee involvement; Organizational climate; Internal marketing; Personality traits the perspective of internal marketing, stimulating the employees and the establishment of reasonable and effective system employee involvement explore the study from the following instance, how does employee involvement project affects affect employee involvement from the perspective of various organizational climate (the perspective of relationship orientation) and internal marketing with regard to employee work_yvsfdafcgjarxhwee5mhpls4xq Hierarchical Fuzzy Expert System for Organizational Performance Assessment in the Construction Industry Keywords: organization performance; analytic hierarchy process; hierarchical fuzzy expert system; success factors, which can then be used later to predict and improve organizational performance. Modeling the performance of construction organizations from a financial perspective has been and non-financial factors—to investigate the factors that impact the organization''s performance in model based on the non-financial and financial factors that impact an organization''s performance. of the critical success factors that aids in analyzing and improving organization performance [18]. • A performance assessment model for the construction organization was developed using a The performance of a construction organization depends on several success factors. assess the performance of construction organizations based on 20 factors categorized into financial, The developed model uses AHP to shortlist qualitative factors and hierarchical fuzzy expert Functional units based model for construction organizations performance. critical success factors in construction organizations. work_yxedqsj2qnd6jgtnktcg4jlgam [PDF] Quality evaluation of restored soils with a fuzzy logic expert system | Semantic Scholar Corpus ID: 8004988Quality evaluation of restored soils with a fuzzy logic expert system title={Quality evaluation of restored soils with a fuzzy logic expert system}, There is a lack of methods to evaluate and assess the physical quality of restored soil. Sort by Most Influenced Papers A Fuzzy-based Methodology for an Aggregative Environmental Risk Assessment of Restored Soil View 2 excerpts, references background and results Fuzzy mathematical methods for soil survey and land evaluation View 4 excerpts, references background and methods View 4 excerpts, references background and methods View 4 excerpts, references background and methods View 2 excerpts, references background View 2 excerpts, references background View 2 excerpts, references background By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License work_yzhptnfd6rbl3e7hojemflxpfi frequently students utilized specific smartphone functions to complete class-related tasks. question: Is gender a significant factor in determining the frequency with which smartphones are used to Keywords: gender, smartphone, mobile learning, task, behavior question: how will smartphone usage affect how college students manage their college coursework and students use their smartphones to manage coursework could indicate the level of impact that Gender as a predictive factor for tasks completed using smartphones. how frequently students use smartphones to complete specific tasks related to managing their will explore gender differences in frequency of smartphone tasks and should it prove reliable and valid, hypothesized that how frequently students use smartphones to support different informal learning tasks promise in using gender to predict the frequency that undergraduate students will use their smartphones can be used as a determining factor in predicting the types of tasks students use smartphones to work_z2qcpcnrmzfrnjprauibaterbq Institut für Rheumatologie der Kurstadt Baden, In der Folge werden die Erfahrungen mit dem Expertensystem CADIAG–II beschrieben. Die Grundlage für das Konsultationssystem CADIAG–II bildet eine medizinische Wissensbasis, In der Wissensbasis wurden die einzelnen Symptome, gegebenenfalls auch Symptomkombinationen für die verschiedenen rheumatischen Erkrankungen aufgenommen und die Häufigkeit des Auftretens eines bestimmten Symptomes Die Diagnoseermittlung erfolgt so, daß die Symptome eines Patienten mit den Eintragungen in der Wissensbasis verknüpft und Diagnoseergebnisse abgeleitet werden. wurden 185 rheumatologische Erkrankungen und mehr als 3500 Krankengeschichten von Patienten, die an der Rheuma–Sonderkrankenanstalt der Sozialversicherungsanstalt der Gewerblichen Wirtschaft behandelt wurden, aufgenommen. rheumatischen Erkrankungen wurde bei durchschnittlich 90% der Patienten die korrekte Diagnose erstellt. bei der Diagnose Gicht lag die Trefferquote am niedrigsten (nur 40%). schlechte Ergebnis bei Gicht liegt in der Tatsache begründet, daß es für diese Erkrankung eine Expert Systems with Applications 6, 441–448. � Adlassnig, K.–P., Leitich, H. � Adlassnig, K.–P., Leitich, H. work_z3zntoflhnd7phrocdyphm5at4 Keywords: data mining, student retention, predictive modeling, financial aid This article uses data mining to find patterns of student retention at American Universities. This article applies data mining methods to the problem of studying student retention. • Previous data mining studies on these student records can be greatly improved using discretization, attribute selection and cross-validation over various algorithms. Druzdzel & Glymour (1994) were among the first researchers to apply knowledge discovery algorithm to study the student retention problem. college ranking data to find the factors that influenced student retention, and they found and decisions trees to survey data at the University of Belgium to classify new students logistic regression, Bayesian Classifiers, and decision trees) applied to the student retention problem, and also used attribute evaluators to generate rankings of important For example, Herzog studied a data set with a 83.5% retention rate (see Table 1). work_z44fob6fbrealdoyutwfhy76xq DokuWiki Setup Error DokuWiki Setup Error The datadir (''pages'') at ./data/pages is not found, isn''t accessible or writable. You should check your config and permission settings. Or maybe you want to run the installer? work_z4vwlccvbjgj7klff2mgsr3fgq sys_1000 wp-p1m-38.ebi.ac.uk wp-p1m-38.ebi.ac.uk exception exception Params is empty Params is empty Params is empty if (typeof jQuery === "undefined") document.write(''[script type="text/javascript" src="/corehtml/pmc/jig/1.14.8/js/jig.min.js"][/script]''.replace(/\[/g,String.fromCharCode(60)).replace(/\]/g,String.fromCharCode(62))); // // // window.name="mainwindow"; .pmc-wm {background:transparent repeat-y top left;background-image:url(/corehtml/pmc/pmcgifs/wm-nobrand.png);background-size: auto, contain} .print-view{display:block} Page not available Reason: The web page address (URL) that you used may be incorrect. Message ID: 220990217 (wp-p1m-38.ebi.ac.uk) Time: 2021/04/06 03:05:33 If you need further help, please send an email to PMC. Include the information from the box above in your message. 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Find a specific article by its citation (journal, date, volume, first page, author or article title). http://europepmc.org/abstract/MED/ work_z6umnwkf6fhnrkoaouebhnmpca Based on the Neural Network theory and combining with the Micro-chip processor technology, we design an expert system-''''Integrated attractive functions: (1) Portable Electric-jack, (2) Electric Tire-pressure-meter, (3) efficiently Pneumatic tire machine, (4) LCD type Sparing Battery, (5) trouble blinking sign and lighting device. following special features: the Portable Electric-jack can easily and rapidly lift cars, the Electric Tire-pressure-meter works precisely, the efficiently pneumatic tire machine works rapidly, the LCD type Sparing corresponding to the car repairing device, such as, the Tire-pressure-meter function tools have been published (Grossmann, Furthermore, the size of the proposed innovative expert system – ICRT is not only quite small and portable but also easily operated and installed in cars. tire machine device of the ICRT, the Neural Network based modified Proportional-Integral-Derivative (P.I.D.) Theory is used to stabilize the pressure of the Tire by the Efficiently pneumatic tire work_z6y3bu72m5fildugbuffwt7kea paper proposes an expert performance evaluation system based on a fuzzy logic model, with competences 360∘ feedback oriented This model uses linguistic labels and adjustable numerical values to represent ambiguous concepts, such as where final results and conclusions show the fuzzy logic method advantages in comparison with traditional 360∘ performance The operation union results as the biggest degree of membership of each element in the fuzzy sets, that is, the highest feedback, and competence evaluation methodology; fuzzy logic concepts such as fuzzy sets and linguistic variables. Membership fuzzy functions can take different figures The fuzzy sets allow to describe the degree of membership Fuzzy Logic Personnel Evaluation Model. Figure 9: Fuzzy sets for linguistic variable "Scale." According to the expert, five fuzzy sets define the variable Figure 10: Fuzzy sets for linguistic variable "Frequency." Figure 11: Fuzzy sets for linguistic variable "Required Level." Activated variable Fuzzy set Membership degree Fuzzy logic competences evaluation expert system work_z6yxjqvgprbfli5o5skvunx6wu Programming Robosoccer agents by modeling human behavior The Robosoccer simulator is a challenging environment for artificial intelligence, where a human has to program a team of agents and use of Machine learning (ML) to adapt and predict the behavior of the opposite team, but the bulk of the agent has been The Robosoccer simulator is a challenging environment for artificial intelligence, where a human has to program an agent and introduce it into a soccer virtual Keywords: Learning to play; Imitation; Human modeling; Behavioral cloning; Machine learning; Robosoccer for modeling humans, as skills range from low-level reactive behavior to high level strategic actions and team play. Results have shown that indeed, agents can be programmed by modeling the experience of humans playing Currently, there is a lot of interest in automatic modeling of other agents and also of human users/players. the opponent-modeling context, Bowling (2003) uses reinforcement learning for multi-agent systems where other work_zbyog7wmjbgfnpiy3pwakoakz4 T H E USE O F personal computers (PC) and expert systems as an aid in radiographic a microcomputer (PC) and apply such programming to a specific problem in diagnostic radiology. would pose a series of questions regarding specific radiographic findings to be answered by their associated rules (lists of incompatible radiographie findings) and attributes (radiographic radiographic findings associated with that diagnosis are either confirmed by the user or the user asking the user if each of the findings associated the next finding associated with that diagnosis question "normal skull and facial bones?", then List of Findings for Specific Diagnosis List of Findings for Specific Diagnosis List of Diagnoses W i t h Specific Finding(s) List of Diagnoses W i t h Specific Finding(s) the radiographic finding while being questioned rapid deletion or addition of diagnoses and radiographic findings to the database by the user. work_zdavkplsyndrvpy6xenfzuotre proposed weighting scheme makes use of the concept associations to build document vectors for clustering. Keywords: Neural networks, Concept embedding, Biomedical text clustering and In this research, we propose and evaluate a framework for biomedical text clustering and visualization based on the concept embedding of diseases. based on the concept embedding for biomedical text document representation, clustering, and visualization. In order to properly make use of the concept embedding for text clustering and visualization, in this research, a new weighting scheme is proposed ( W(Ci, d) ) to calculate Figures 5, 6, and 7 show the returned values of the DBindex for baseline tf–idf, proposed weighting scheme based on aggregated word embedding and intact concept The returned DBindex values show that the proposed weighting scheme based on aggregated word embedding works better than the Concept embedding-based weighting scheme for biomedical text clustering and visualization Concept embedding-based weighting scheme for biomedical text clustering and visualization work_zdew7msp5nhphkzbylgxdqbis4 literature concerning the application based technological relationships and by creating a new descriptions contain terms from the technology as well as from potential application fields Applied science research projects have to combine or to consider these related technologies identifies the impact of each technology description on each semantic textual pattern project on each semantic textual pattern (Thorleuchter, Van den Poel, & Prinzie, 2012). Two research projects, which focus on different topics in a technological field, consist of c) Technological project descriptions consist of a high percentage of term co-occurrence. d) Applied science research projects focus on an application field and use many different important to use project and technology descriptions that contain terms, which describe the 2.1, the descriptions of related technologies consist of similar terms that describe application classification approach considers all related terms (describing a technology as well as The semantic approach has assigned this project to a set of 12 related technologies as work_zdhgvdevnbbinp4kmsooxqjcza development of a prototype, and to spread awareness of expert systems in club draw conclusions about appropriate computer support for marketing planning. modelling of the marketing planning process, in spite of very specific guidance given the club based on marketing planning naivety, the inexperience of the knowledge T h e very title of the club, "Expert Systems in Marketing", suggested that the use of expert systems techniques in this area was possible a n d appropriate. "To provide assistance for the marketing planning process in such a way as to spread T h e model covers the data manipulated by a marketing planner w h e n developing a supports a marketing planner by providing tools that help the user to represent the Market Attractiveness Factors model the priorities of the business unit by The problem to be addressed by Expert Systems in the marketing domain centres "Expert Systems : a New Tool in Marketing" work_zehnx3oazrbmhpixswqdorn3cy algorithms which predict quantiles of the interested response for regression and binary classification. Quantile Boost Regression performs gradient descent in functional space to minimize the objective QBR, functional gradient ascent is applied to maximize the objective function, which yields the Quantile Boost Classification on this we further propose the quantile boost classification algorithm with some discussions of the related methods. Quantile boost regression (QBR) algorithm. the Quantile Boost Classification (QBC) algorithm as shown in Fig. 3. Since the purpose of this paper is to propose an alternative algorithm to the original QReg, we choose only to compare the performance of QBR to that of the original QReg. Five regression datasets resulting Quantile Boost Regression (QBR) algorithm. Quantile Boost Classification (QBC) algorithm. QBR/QBC to other quantile based regression/classification algorithms on more datasets is also desired. QBoost: Predicting quantiles with boosting for regression and binary classification QBoost: Predicting quantiles with boosting for regression and binary classification work_zfylebmxrbe4vo7hi37ulgbeje Citation-Based Journal Rankings for AI Research A Business Perspective Gupta''s study is a pioneering effort at assessing the quality and impact of various journals on AI research from a business perspective. We begin with a brief review of studies related to ranking journals that publish AI research. Citation Studies Published in 1993 for AI and Business-Computing Research. In the interest of objectivity, our ranking is established through an extensive study of citation patterns existing in a base set of AI articles. IEEE Transactions on Pattern Analysis and Machine Intelligence is the only base journal having over 50 percent of its citations to journals. the number of journal citations found in either Expert Systems or AI Magazine. Citation-Based Journal Rankings for Expert Systems Business-Computing Research Journals: A Normalized Citation Analysis. 54 88 15 International Journal of Expert Systems: Research and 54 88 15 International Journal of Expert Systems: Research and work_zhdjd7ouobhd3hosejfsdrnmfq Proximity measures for link prediction based on temporal events focused on the application of proximity measures (e.g., path distance, common neighbors) to non-connected pairs of nodes at present time in order to predict new connections in the future. In this work, we propose a new proximity measure for link prediction based on the concept of temporal events. In this paper, our specific aim is to investigate the prediction of links in a social network, that is, we are focused on predicting the most probable future connections based on In the current work, we propose a new proximity measure that takes into account the temporal structure of a network and temporal events related to pairs of proximity score is then computed for each pair of nodes by aggregating the rewards assigned for the temporal events observed during the transitions of frames. work_zhwshju7gffhldgvwqz2ilg7gu Knowledge modeling through computational agents: application to surveillance systems agents: application to surveillance systems Abstract: In this work the concept of computational agent is located within the methodological framework of Keywords: artificial intelligence, computational agents, knowledge engineering, surveillance our vision of a computational agent''s conceptual and formal model is explained. research groups have proposed their own methodology to develop applications based on agents code generation phase for a given agent programming language. � The Detailed Design phase focuses on developing the internal structure of each agent More basic computing entities including components for building new agent and resource focus on providing high level software components for easy development of complex agent of a computational agent''s conceptual and formal models, respectively. design of a mobile robot application for the detection and following of humans with a MAS perspective. Therefore, the internal structure of each identified agent should be modeled and implemented (2005) Process models for agent-based development, work_zig56z22kbf3dcvmxtbbhyznsa paper presents an approach to modeling the negotiation process in a time‐series fashion using environment and assist negotiators by providing predictive information, and possibly Keywords: Electronic Negotiations; Opponent Modeling; Counter‐Offer Prediction; Offer by intelligent agents equipped with adaptive capabilities to learn from past negotiations and In order to test the applicability of machine learning approaches in modeling negotiation counteroffers, including the most recent offer made by the negotiator, to predict the expected which involves offer optimization; discuss the model implementation and results; and provide An approach that combines recommendation generation and negotiation agents for product limited to a single issue (price) negotiation and only the offers made by an opponent are based model which learns patterns from the past offer exchanges and presents Our predictive network needs to be trained using past negotiation data to adequately capture 4. Negotiation support with predictive neural model Predictive negotiation neural network model work_zjrp2n44cbgermmovdibep5so4 경영과학 연구실 – Operations Research Laboratory Operations Research Laboratory [June 2020] "의료 빅데이터를 이용한 개인맞춤 의료행위 추천 시스템에 관한 연구" 3차년도 과제 승인" Our present research area includes: Big Data Analytics/Machine Learning Optimization/Game Theory Reinforcement Learning Game Theory Nonlinear Optimization 의료 빅데이터를 이용한 개인맞춤 의료행위 추천 시스템에 관한 연구. 콘텐츠 유통 환경 다변화에 따른 지상파 방송사의 수요 연구 및 전략 연구, 한국방송공사. 개방형 콘텐츠 전달 인프라스트럭처 구축을 위한 이종 콘텐츠전달망들 간의 상호연동 기술 개발, 한국방송통신전파진흥원. Now we welcome new researchers. If you are interested in any of our study area, please feel free to contact us. – E-mail: shoh0320@yonsei.ac.kr (Sang-Ho Oh, Ph.D. Student; applicants please send an e-mail with your c.v. and optional supplementaries) Research Area Research Area Research Area (Hyundai Motors) Industrial Cluster for New Technology Research (Hyundai Motors) Industrial Cluster for New Technology Research ORL Workshop ORL Workshop ORL Workshop 2021 winter ORL Workshop 2021 winter work_zlzzgnksf5b4xoh3aqdbz4mele One of the main obstacles in applying AI planning techniques to real problems is the difficulty to model the domains. has already been work on the definition of languages that allow non-experts entering knowledge on processes into the tools. here the use of one of such BPR languages to enter knowledge on the organisation processes to be used by planning tools. tools can be used to semi-automatically generate business process models. After this conversion, real models can be automatically generated using a planner that integrates planning and scheduling, IPSS. Keywords: Planning and scheduling; Workflow management systems; Business process reengineering; Makespan minimisation; Time windows Business processes are usually represented as workflow, that is, computerised models within processes that will likely never be modeled in workflow systems because, they are either too difficult to formalize, or Examples are the activities or tasks that should be performed; the organisation model that describes the roles of work_zmmy4lrbq5dwvnclwn42myragq paper proposes a bit-based feature selection method to find the smallest feature set to represent the indexes of a given dataset. experimental results on different data sets also show the efficiency and accuracy of the proposed approach. Keywords: Feature selection; Bitmap indexing; Rough set; Classification; Clustering approaches have been proposed to solve the feature selection problem (Almullim et al., 1991; Chen, Tseng, Chen, selection approach, called the bitmap-based feature selection method with discernibility matrix (Chen, Yang, & Step 1: Return CVjk. Definition 3 (Feature-value vector). the number of possible values in Cj. For example, the feature matrix M1 in Table 2 is show as From the definition of the feature matrix, it is easily derived that applying the bitwise operator ''''OR'''' on all the record vectors in a A record vector RV sjk of a feature set value C kth possible value of the feature set Csj. A class vector, work_zn7cbbam6zdfhfdeppujpl6f7u Sequence-dependent group scheduling problem on unrelated-parallel machines In this research we address a sequence-dependent group scheduling problem on a set of unrelated-parallel Group Scheduling; Unrelated-parallel machines; Bi-criteria; Sequence-dependent setup time; Mixedinteger linear programming; Tabu search. completion time for a two-machine sequence-dependent group scheduling problem. group scheduling problem with sequence-dependent setups and developed search algorithms algorithms based on tabu search to minimize the total weighted tardiness of a sequencedependent job scheduling problem on unrelated-parallel machines with consideration of dynamic weighted tardiness of a sequence-dependent job scheduling problem on unrelated-parallel considered an unrelated-parallel machine job scheduling problem to jointly minimize the workin-process inventory and maximize the customer service level in a supply chain. total weighted tardiness in a sequence-dependent flow shop group scheduling problem. Besides the above mentioned papers, there are a few others that have investigated the unrelatedparallel machine scheduling problems along with batch (family) setup times (Chen and Wu Consider the problem of scheduling � different jobs on � unrelated-parallel machines. work_zpbskklu2raf7lvljawgbpau3u Discovering cohesive subgroups from social networks for targeted advertising In this paper, we propose a framework that utilizes the concept of a social network for the targeted advertising of products. approach discovers the cohesive subgroups from a customer''s social network as derived from the customer''s interaction data, and uses them to infer the probability of a customer preferring a product category from transaction records. Keywords: Social network; Targeted advertising; Recommender system; Knowledge discovery The effectiveness of targeting a small portion of customers for advertising has long been recognized by businesses Content-based approaches select target customers whose interests have a high degree of similarity to shown an interest, the content-based approach is inappropriate to advertise products to a new customer and will collaborative approaches advertise products to the target from a customer''s social network may facilitate the targeting of a small portion of customers for advertising. work_zpfso6pk3vf5df7625v6vawp2e The importance of probability density function (PDF) is evidenced by intensive theoretic researches and many data analysis and pattern recognition applications [McLachlan and Peel, 2000, Silverman, 1986, Duda and Hart, 1973, Chen et al., 2010, nonlinear optimisation process requiring extensive computation, while the EM algorithm for Gaussian mixture models enjoys an explicit iterative form [Bilmes, 1998]. recently we have introduced Riemannian trust-region (RTR) algorithm for sparse finite mixture model based on minimal integrated square error criterion [Hong et al., gradient algorithm [Hager and Zhang, 2006] to optimization problems over Riemannian manifolds [Boumal et al., 2014]. Algorithm 3 Proposed estimator for the square root of probability density function Estimating the Square Root of Probability Density Function on Riemannian Manifold Estimating the Square Root of Probability Density Function on Riemannian Manifold Estimating the Square Root of Probability Density Function on Riemannian Manifold Estimating the Square Root of Probability Density Function on Riemannian Manifold work_zqisuhch45dbnlgxmwgwvbo5ja AN EXPERT SYSTEM FOR VALUATION OF RESIDENTIAL PROPERTIES You, the valuer, have been asked to value a three-bedroomed semi-detached THIS PROGRAM WILL ESTIMATE THE SELLING PRICE OF DOMESTIC PROPERTIES IN THE BIRMINGHAM AREA, INCLUDING SOLI HULL The ''rules'' for valuation of residential properties are suggested in the standard important feature of this method of valuation is the need to keep records of 4. Developing a model of value — the Hedonic Index technique 470-89, which gives an example related to valuations of domestic property). too, have made much use of the technique, using house prices as indicators of 5. A case study: developing an expert system for valuation In the later study, data on square feet of floor area, rateable value, type of task in hand — building a model to value residential property. Property Variables £ Rate'' F value'' * house prices'',Urban Studies, Vol. 15, pp. work_ztiq4knfm5ghjjcotevkkrlhga The paper describes a knowledge based system (KBS) for modelling trust in system computes the trust in a CA by asking the user a series of questions quotient of 0.7 for a given CA, a trusting user might view this value as The KBS software we adapted for use as a knowledge server was Istar (Basden latter is employed in the trust assessment KBS to allow the user the option of implemented as an Istar knowledge base, shown in inference net form in Fig. 3 (an actual screen grab from Istar). As an initial result, in step 6, the user is given a single trust quotient, a combinations, we need all antecedents to be of high quality for trust to be If a single antecedent is of low quality or zero value, trust rapidly Where the trust quotient is low, the user can discover which factors are the work_ztvalqgjlna2fhj7accs4tukde _ESWA_A multi-objective PSO for job-shop scheduling problems A multi-objective PSO for job-shop scheduling problems Most previous research into the job-shop scheduling problem has concentrated on finding a single optimal Keywords: job-shop scheduling; particle swarm optimization; multiple objectives The job-shop scheduling problem (JSP) has been studied for more than 50 years in both academic and industrial Most studies of single-objective JSPs result in a schedule to minimize the time required to complete all jobs, i.e., for resolving job-shop problems with objective functions that consider minimization of makespan, total For an n-job m-machine problem, the position of particle k can be represented by The proposed multi-objective PSO (MOPSO) algorithm was tested on benchmark problems obtained from "A Pareto archive particle swarm optimization for multi-objective job shop scheduling," Computers & Industrial "A particle swarm optimization-based algorithm for job-shop scheduling & Hsu, C.-Y., 2006, "A hybrid particle swarm optimization for job shop scheduling problem," Computers & Industrial work_ztyva33ixbabngsnl44o3vw36i Trace retrieval for business process operational support Operational support assists users while process instances are being executed, by making predictions about the instance completion, or recommending suitable actions, resources or routing decisions, on the basis of the already In this paper, we propose a case-based retrieval approach to business process management operational support, where log traces are exploited as cases. Our approach is highly innovative with respect to the existing literature panorama, since it is the first work that exploits case-based retrieval Keywords: Trace retrieval, Case Based Reasoning, Operational Support retrieving all the execution traces which follow a query pattern which starts The algorithm outputs the mined process as a trace tree, where nodes of several sets of support traces, each one corresponding to a possible action In order to retrieve the log traces that satisfy a query, we have implemented a multi-step procedure, articulated as follows: work_zv5hinl2kzfuzlpf37agkaqtpq Please cite this article as: Najlah Gali , Radu Mariescu Istodor , Pasi Fränti , Using Linguistic Features to Automatically Extract Web page Title, Expert Systems With Applications (2017), doi: Using Linguistic Features to Automatically Extract Web page Title Abstract Existing methods for extracting titles from HTML web page mostly rely on visual and structural features. morphosyntactic characteristics of known titles and define a part-of-speech tag patterns that help to extract candidate phrases However, the modern web page design allows the title to appear as a part of other phrases in the text node of the features: syntactic structure, similarity with the link of the web page, appearance in the title tag, appearance in meta tags, In both tree representations, existing methods use the entire text of the leaf nodes as candidate titles. We have proposed a new method to extract the title from HTML web pages using text segmentation, statistical features of the work_zwzhhkduqrferjkjh7pv2i6ooa A multi-expert system for ranking patents: An approach based on fuzzy pay-off distributions and a TOPSISﾖAHP framework A multi-expert system for ranking patents: An approach based on fuzzy The aim of this paper is to introduce a decision support system that ranks patents based on multiple The presented approach starts with the creation of three value scenarios for each considered patent by each expert. functions for the patent value; a consensual fuzzy pay-off distribution is then determined starting from usability of the system and the combination of methods it includes for patent portfolio selection in the widespread practice of modeling the inaccurate and uncertain future cash-flows, and it can also be applied to patent analysis (Collan, Fuller, Mezei, & Wang, 2011). using cash-flow scenarios to create an asset''s pay-off distribution The pay-off distributions for the patents by different experts are work_zxm75rfbzvafvmbxjk5izqpfie الفحوصات الخاصة بكل نوع من األدوی ة وتق ارب الم دیات المح ددة لك ل فح ص مم ا یجع ل عملی ة ، نظام التشفیر، محرك االستدالل، قاعدة المعرفة النظام الخبیر:ةلمفتاحیاالكلمات لدعم استراتیجیات إدارة المعرفة بالتطبیق على الشركة العام ة ل صناعة األدوی ة والم ستلزمات الطبی ة ف ي تن اول ھ ذه الم شكلة وال سعي لعالجھ ا ف ي إل ى اناألم ر ال ذي دف ع الباحث ) النظ ام الخبی ر( بأن ھ ن وع م ن ) النظ ام الخبی ر(على تعریف ) Howlett and Barton(وقد اتفق كل من بالحق ائق الخاص ة بالم شكلة ) النظ ام الخبی ر( نلح ظ أن الم ستفید ی زود ١وم ن ال شكل وإدخ ال المعلوم ات ح ول الم شكلة یت ولى ) النظ ام الخبی ر(المستفید أو صانع القرار استشارة تصمیم النظام الخبیر في الشركة العامة لصناعة األدویة والمستلزمات الطبیة work_zzh2hcwt2jgj3fodyu3vqh6zje In the other approach heuristic is developed step-bystep based on the set of training games. game tree depth) is used as the heuristic evaluation function in the alpha-beta search Keywords: game playing, heuristic generators, checkers, give-away checkers, evaluation suitable for testing new search algorithms, pattern-based evaluation methods or learning Although most examples of application of CI methods to game playing make use of either reinforcement learning method or neural networks, there are also some papers devoted from differences in numbers of pawns and kings, linear heuristics used in each of the stages In order to check the quality of heuristics generated for the game of GAC, they were alpha-beta, games played between any two heuristics were pairwise different. quality of the heuristics some comparison games were played. automate test games between our heuristics and Simple Checkers. The focus of this paper is to test usefulness of pure genetic approach for generating evaluation functions in two game domains: GAC and checkers. work_zzxjent5cjgczaezm5l5jht4ny suggest Interaction Patterns for Knowledge-Based Systems as a cornerstone of Categories, that provide an abstract classification framework for knowledge systems and corresponding interaction/UI patterns. such patterns within the proposed, extended agile approach; the details regarding the prototyping and a respective tool are subject of separate work, see [7]. In contrast, we specifically support knowledge system UI and interaction design by the means of tailored patterns and prototyping as to enhance By Interaction Patterns for Knowledge-Based Systems, we understand the description of the systems'' interactionand UI design for a specified context. Classifying Attributes: The attributes User Competence, Context Presentation, and Data Volume are common to all patterns of one category. A. User Competence: A naive data provider follows the prescribed interrogation sequence, with no desire for deviation or adaption; possible reasons can 3.2 Interaction Pattern Categories for Knowledge-Based Systems agile process model for developing knowledge-based consultation and documentation systems. work_zzyeey6arvaxbhnnhyc5xqfngy aims at finding optimal feature subsets that can achieve better generalization Key words: Feature selection, search strategy, dependency, mutual and a search strategy to generate candidate feature subsets (1). filter method uses a measure that is independent of the predetermined classification algorithm to estimate the goodness of candidate subsets. Searching for the optimal subset, which can achieve the best performance methods attempt to estimate the relevance of subsets of features as the basis methods, the proposed search strategy utilizes dependency between feature The following methods were implemented to select feature subsets: genetic algorithms, particle swarm optimization, differential evolution selection, as the optimal subset of features is already known. The results obtained for the selection of subsets of 30 features DSS also outperformed the other three methods when selecting 30 features. Results for the selection of subsets of 30 features when using a k-NN H. John, "Wrappers for feature subset selection," Artificial Intelligence, special issue on relevance, vol.