{"id":"https://openalex.org/W2127437998","doi":"https://doi.org/10.1109/iccd.1995.528816","title":"Connection-oriented net model and fuzzy clustering techniques for K-way circuit partitioning","display_name":"Connection-oriented net model and fuzzy clustering techniques for K-way circuit partitioning","publication_year":2002,"publication_date":"2002-11-19","ids":{"openalex":"https://openalex.org/W2127437998","doi":"https://doi.org/10.1109/iccd.1995.528816","mag":"2127437998"},"language":"en","primary_location":{"id":"doi:10.1109/iccd.1995.528816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccd.1995.528816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of ICCD '95 International Conference on Computer Design. VLSI in Computers and Processors","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071940138","display_name":"Jin-Tai Yan","orcid":"https://orcid.org/0000-0002-7614-2545"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jin-Tai Yan","raw_affiliation_strings":["Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan","Dept. of Comput. & Inf. Sci., National Chiao Tung Univ., Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., National Chiao Tung Univ., Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071940138"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.2027038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"236","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/netlist","display_name":"Netlist","score":0.9426990747451782},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.6802386045455933},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6428496837615967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6425700187683105},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6216138005256653},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.5679585933685303},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44214364886283875},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4099828004837036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.376325398683548},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27709418535232544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2147662341594696},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.12425264716148376}],"concepts":[{"id":"https://openalex.org/C177650935","wikidata":"https://www.wikidata.org/wiki/Q1760303","display_name":"Netlist","level":2,"score":0.9426990747451782},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.6802386045455933},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6428496837615967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6425700187683105},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6216138005256653},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.5679585933685303},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44214364886283875},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4099828004837036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.376325398683548},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27709418535232544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2147662341594696},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.12425264716148376},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccd.1995.528816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccd.1995.528816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of ICCD '95 International Conference on Computer Design. VLSI in Computers and Processors","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1544310393","https://openalex.org/W1900591845","https://openalex.org/W1980129108","https://openalex.org/W1982952634","https://openalex.org/W2003346537","https://openalex.org/W2017658843","https://openalex.org/W2034396021","https://openalex.org/W2035470297","https://openalex.org/W2086629796","https://openalex.org/W2095117703","https://openalex.org/W2101007244","https://openalex.org/W2113076747","https://openalex.org/W2158598102","https://openalex.org/W2158744529","https://openalex.org/W3150554437","https://openalex.org/W3151159949","https://openalex.org/W4236269389","https://openalex.org/W4240523778"],"related_works":["https://openalex.org/W117229049","https://openalex.org/W2354546390","https://openalex.org/W1936503156","https://openalex.org/W1581015223","https://openalex.org/W2124437523","https://openalex.org/W1993190184","https://openalex.org/W2127141320","https://openalex.org/W1537610442","https://openalex.org/W2110002672","https://openalex.org/W2552825874"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,56],"firstly":[4],"propose":[5,59],"a":[6,34,41,109,117],"k-way":[7,20,113,119],"connection-oriented":[8],"net":[9,12,36,86],"model,":[10,13],"chain":[11],"to":[14,24,64,79,108],"generalize":[15],"the":[16,26,31,38,50,72,75,80,85,90,97,131,136,144,148],"cut":[17,146],"analysis":[18],"for":[19,30,71,125,151],"circuit":[21,98,114,120,128],"partitioning":[22,121,138,145,149],"and":[23,43,58,130,147],"reduce":[25],"complexity":[27],"of":[28,33,40,52,68,83,93,103],"edges":[29],"representation":[32],"multiple-pin":[35],"between":[37],"transformation":[39],"hypergraph":[42],"an":[44],"edge-weighted":[45],"graph.":[46],"Furthermore,":[47],"based":[48],"on":[49,143],"techniques":[51],"fuzzy":[53,60,69,104],"c-means":[54,61],"clustering,":[55],"develop":[57],"graph":[62,77],"clustering":[63],"obtain":[65],"k":[66,101],"groups":[67,102],"memberships":[70,105],"vertices":[73],"in":[74,96],"mapped":[76],"according":[78],"global":[81],"information":[82,92],"all":[84],"connections.":[87],"Finally,":[88],"by":[89],"area":[91],"any":[94],"cell":[95],"netlist,":[99],"these":[100,152],"will":[106],"lead":[107],"cut-driven":[110],"or":[111],"balance-driven":[112],"partitioning.":[115],"As":[116],"result,":[118],"has":[122],"been":[123],"implemented":[124],"testing":[126],"MCNC":[127],"benchmarks":[129],"experimental":[132],"results":[133,142],"show":[134],"that":[135],"proposed":[137],"approach":[139],"generates":[140],"effective":[141],"balance":[150],"benchmarks.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}