{"id":"https://openalex.org/W2781517074","doi":"https://doi.org/10.1109/test.2017.8242071","title":"Kernel based clustering for quality improvement and excursion detection","display_name":"Kernel based clustering for quality improvement and excursion detection","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2781517074","doi":"https://doi.org/10.1109/test.2017.8242071","mag":"2781517074"},"language":"en","primary_location":{"id":"doi:10.1109/test.2017.8242071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/test.2017.8242071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Test Conference (ITC)","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/A5078270682","display_name":"Nik Sumikawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nik Sumikawa","raw_affiliation_strings":["NXP Semiconductor, Inc"],"affiliations":[{"raw_affiliation_string":"NXP Semiconductor, Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006310903","display_name":"Matt Nero","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matt Nero","raw_affiliation_strings":["University of California, Santa Barbara"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100369642","display_name":"Li-C. Wang","orcid":"https://orcid.org/0000-0003-4851-8004"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li-C. Wang","raw_affiliation_strings":["University of California, Santa Barbara"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078270682"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1076,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.8918253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/excursion","display_name":"Excursion","score":0.8887338042259216},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7484539151191711},{"id":"https://openalex.org/keywords/wafer","display_name":"Wafer","score":0.6442452073097229},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5974849462509155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5720409154891968},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5330138802528381},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4227561950683594},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4189891815185547},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3911994695663452},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.37542423605918884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37349528074264526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2096962332725525},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10572636127471924}],"concepts":[{"id":"https://openalex.org/C2780550144","wikidata":"https://www.wikidata.org/wiki/Q1156976","display_name":"Excursion","level":2,"score":0.8887338042259216},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7484539151191711},{"id":"https://openalex.org/C160671074","wikidata":"https://www.wikidata.org/wiki/Q267131","display_name":"Wafer","level":2,"score":0.6442452073097229},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5974849462509155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5720409154891968},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5330138802528381},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4227561950683594},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4189891815185547},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3911994695663452},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.37542423605918884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37349528074264526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2096962332725525},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10572636127471924},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/test.2017.8242071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/test.2017.8242071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Test Conference (ITC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2014268383","https://openalex.org/W2023670504","https://openalex.org/W2081065829","https://openalex.org/W2098054201","https://openalex.org/W2104441235","https://openalex.org/W2108202086","https://openalex.org/W2134821610","https://openalex.org/W2139069061","https://openalex.org/W3216985181"],"related_works":["https://openalex.org/W1971411732","https://openalex.org/W2362407587","https://openalex.org/W4401579034","https://openalex.org/W3167953481","https://openalex.org/W4205248644","https://openalex.org/W3097042218","https://openalex.org/W4252469072","https://openalex.org/W1486720777","https://openalex.org/W2323144091","https://openalex.org/W2947935833"],"abstract_inverted_index":{"With":[0],"wafer":[1,129],"fabs":[2],"running":[3],"at":[4],"near":[5],"full":[6],"capacity,":[7],"it":[8,46],"is":[9,47,81],"a":[10,33,38,70,84,92,111,141,160],"constant":[11],"challenge":[12],"to":[13,41,49,63,104,210],"maintain":[14],"high":[15],"yields.":[16],"Many":[17],"different":[18,43,150],"products":[19,151,203],"are":[20],"fabricated":[21],"by":[22],"the":[23,27,59,65,105,128,154,175,187,208],"same":[24,155],"equipment.":[25],"So":[26],"sudden":[28],"change":[29],"in":[30,61,101,122],"product":[31],"yield,":[32],"yield":[34],"excursion,":[35],"can":[36,198,212],"have":[37],"significant":[39],"impact":[40],"many":[42,166],"products.":[44,169],"Therefore,":[45],"critical":[48],"detect":[50],"an":[51],"excursion":[52,74,162],"as":[53,55],"early":[54],"possible":[56],"and":[57,76,130,182,204],"fix":[58],"cause":[60],"order":[62],"minimize":[64],"impact.":[66],"This":[67,79,133],"paper":[68],"introduces":[69],"two-part":[71],"methodology":[72,80,114,134],"for":[73,98,118],"detection":[75,211],"quality":[77],"improvement.":[78],"based":[82,177],"on":[83,127,153],"novel":[85],"method":[86,94],"called":[87],"Kernel":[88],"Based":[89],"Clustering.":[90],"First,":[91],"screening":[93],"will":[95,115,171,191],"be":[96,116,172,193,199,213],"described":[97,117],"removing":[99],"die":[100],"close":[102],"proximity":[103],"cluster":[106,112],"of":[107,124,167],"failing":[108],"dies.":[109],"Second,":[110],"commonality":[113],"detecting":[119],"common":[120,196],"clusters":[121,197],"terms":[123],"shape,":[125],"region":[126],"failure":[131,188],"mode.":[132],"was":[135],"evaluated":[136],"with":[137,205],"40k":[138],"wafers":[139,146],"from":[140,148],"30-week":[142],"production":[143],"period.":[144],"These":[145],"came":[147],"15":[149],"developed":[152],"technology.":[156],"During":[157],"this":[158,206],"period,":[159],"process":[161],"occurred":[163],"that":[164,174,195],"impacted":[165],"these":[168],"It":[170,190],"shown":[173,194],"kernel":[176],"clustering":[178],"algorithm":[179],"effectively":[180],"identifies":[181],"removes":[183],"high-risk":[184],"dies":[185],"around":[186],"cluster.":[189],"also":[192],"identified":[200],"across":[201],"multiple":[202],"capability,":[207],"time":[209],"reduced.":[214]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
