{"id":"https://openalex.org/W2996711316","doi":"https://doi.org/10.1142/s021812662050173x","title":"An Efficient Prediction Framework for Multi-parametric Yield Based on Uncertainty of Performance-Relevant Structure","display_name":"An Efficient Prediction Framework for Multi-parametric Yield Based on Uncertainty of Performance-Relevant Structure","publication_year":2019,"publication_date":"2019-12-20","ids":{"openalex":"https://openalex.org/W2996711316","doi":"https://doi.org/10.1142/s021812662050173x","mag":"2996711316"},"language":"en","primary_location":{"id":"doi:10.1142/s021812662050173x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021812662050173x","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-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/A5100353882","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-4859-2477"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Li","raw_affiliation_strings":["Key Laboratory of Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, P.\u00a0R.\u00a0China","School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0000-0002-4859-2477","affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073047982","display_name":"Haifei Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126406","display_name":"Xuzhou Construction Machinery Group (China)","ror":"https://ror.org/02y5rmj89","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126406"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifei Yuan","raw_affiliation_strings":["Xuzhou XCMG Excavator Machinery Co., Ltd., Xuzhou, Jiangsu 221100, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xuzhou XCMG Excavator Machinery Co., Ltd., Xuzhou, Jiangsu 221100, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210126406"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100759528","display_name":"Dongming Li","orcid":"https://orcid.org/0000-0002-4557-6279"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongming Li","raw_affiliation_strings":["Key Laboratory of Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, P.\u00a0R.\u00a0China","School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085663610","display_name":"Zhi Fang","orcid":"https://orcid.org/0000-0002-6279-135X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Fang","raw_affiliation_strings":["College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100353882"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18055204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"11","first_page":"2050173","last_page":"2050173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9994000196456909,"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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9987999796867371,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.7950472831726074},{"id":"https://openalex.org/keywords/copula","display_name":"Copula (linguistics)","score":0.706943154335022},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4964156746864319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4800609052181244},{"id":"https://openalex.org/keywords/schematic","display_name":"Schematic","score":0.44633492827415466},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3458712697029114},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34559449553489685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2693198025226593},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18997707962989807},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.18115848302841187},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1655176281929016},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.09107685089111328}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.7950472831726074},{"id":"https://openalex.org/C17618745","wikidata":"https://www.wikidata.org/wiki/Q207509","display_name":"Copula (linguistics)","level":2,"score":0.706943154335022},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4964156746864319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4800609052181244},{"id":"https://openalex.org/C192328126","wikidata":"https://www.wikidata.org/wiki/Q4514647","display_name":"Schematic","level":2,"score":0.44633492827415466},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3458712697029114},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34559449553489685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2693198025226593},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18997707962989807},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.18115848302841187},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1655176281929016},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.09107685089111328}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021812662050173x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021812662050173x","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6509333891","display_name":null,"funder_award_id":"BK20160899","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G7594417966","display_name":null,"funder_award_id":"61802206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8713077537","display_name":null,"funder_award_id":"BK20161072","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1513910646","https://openalex.org/W1965330591","https://openalex.org/W1978046375","https://openalex.org/W1983931821","https://openalex.org/W2003363885","https://openalex.org/W2008338328","https://openalex.org/W2014270324","https://openalex.org/W2035894108","https://openalex.org/W2042557026","https://openalex.org/W2078858297","https://openalex.org/W2083626899","https://openalex.org/W2090204193","https://openalex.org/W2097034357","https://openalex.org/W2151356034","https://openalex.org/W2284954312","https://openalex.org/W2329392419","https://openalex.org/W2344837812","https://openalex.org/W2519965010","https://openalex.org/W2546351422","https://openalex.org/W2565300572","https://openalex.org/W2808874258","https://openalex.org/W2809158765","https://openalex.org/W2898726528","https://openalex.org/W2902222807","https://openalex.org/W2903410716","https://openalex.org/W2968554659"],"related_works":["https://openalex.org/W3154683910","https://openalex.org/W1846734616","https://openalex.org/W3134543635","https://openalex.org/W2359532622","https://openalex.org/W2921318524","https://openalex.org/W2377571686","https://openalex.org/W4380988671","https://openalex.org/W1925657225","https://openalex.org/W2000469917","https://openalex.org/W2072518676"],"abstract_inverted_index":{"Due":[0],"to":[1,16,50,64,102,127,190,216],"the":[2,43,59,72,84,90,104,112,117,129,153,174,192,200,221,233],"aggressive":[3],"shrinking":[4],"of":[5,42,55,86,131,142,207,224],"integrated":[6],"circuit":[7],"(IC)":[8],"fabrication":[9],"technology,":[10],"variability":[11],"in":[12,66,140],"design":[13],"parameters":[14,176],"leads":[15],"significant":[17],"yield":[18,23,45,79,114,185,202,210,225],"loss.":[19,69],"Therefore,":[20],"efficient":[21],"parametric":[22],"prediction":[24,46,80,186,203,226],"has":[25,235],"been":[26],"a":[27,77,120,182],"critical":[28],"task":[29],"for":[30,124,165],"today\u2019s":[31],"ICs,":[32],"especially":[33],"when":[34],"multiple":[35],"performances":[36],"are":[37,100,170,227],"considered":[38],"simultaneously.":[39],"However,":[40],"most":[41],"previous":[44],"works":[47],"have":[48],"failed":[49],"take":[51],"into":[52],"account":[53],"uncertainty":[54,60,85,130],"performance-relevant":[56,87,132,213],"structures.":[57,88,133,214],"Neglecting":[58],"effects":[61],"will":[62],"tend":[63],"result":[65],"predictive":[67],"accuracy":[68,237],"To":[70],"avoid":[71],"issue,":[73],"this":[74],"paper":[75],"proposes":[76],"multi-parametric":[78,113,209],"framework":[81,118,204,234],"based":[82,151],"on":[83,152],"In":[89],"proposed":[91,201],"framework,":[92],"saddle":[93],"point":[94],"estimation":[95],"and":[96,110,146,157,162,238],"mixed":[97,183],"copula":[98],"function":[99],"applied":[101],"maintain":[103],"uncertainty-relevant":[105,193],"structures":[106],"among":[107],"performance":[108,125,155],"metrics":[109,126],"predict":[111],"accurately.":[115],"First,":[116],"constructs":[119],"general":[121,135,154],"statistical":[122],"model":[123,136,156],"illustrate":[128],"The":[134],"is":[137,188,205],"explicitly":[138],"expressed":[139],"terms":[141],"underlying":[143],"process,":[144],"voltage,":[145],"temperature":[147],"(PVT)":[148],"parameters.":[149],"Then,":[150],"taking":[158],"total":[159],"leakage":[160],"current":[161],"gate":[163],"delay":[164],"example,":[166],"their":[167],"marginal":[168],"distributions":[169],"estimated":[171],"by":[172],"assuming":[173],"PVT":[175],"as":[177],"normal":[178],"random":[179],"variables.":[180],"Finally,":[181],"copula-based":[184],"method":[187],"suggested":[189],"solve":[191],"structure":[194],"problem.":[195],"Experimental":[196],"results":[197],"demonstrate":[198],"that":[199],"capable":[206],"predicting":[208],"under":[211],"arbitrary":[212],"Compared":[215],"Monte":[217],"Carlo":[218],"(MC)":[219],"analysis,":[220],"relative":[222],"errors":[223],"less":[228],"than":[229],"5%,":[230],"which":[231],"means":[232],"good":[236],"efficiency.":[239]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
