{"id":"https://openalex.org/W2782393944","doi":"https://doi.org/10.1109/test.2017.8242050","title":"Systematic defect detection methodology for volume diagnosis: A data mining perspective","display_name":"Systematic defect detection methodology for volume diagnosis: A data mining perspective","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2782393944","doi":"https://doi.org/10.1109/test.2017.8242050","mag":"2782393944"},"language":"en","primary_location":{"id":"doi:10.1109/test.2017.8242050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/test.2017.8242050","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/A5028980757","display_name":"Chuanhe Jay Shan","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":true,"raw_author_name":"Chuanhe Shan","raw_affiliation_strings":["College of Engineering, University of California, Santa Barbara, Santa Barbara, California"],"affiliations":[{"raw_affiliation_string":"College of Engineering, University of California, Santa Barbara, Santa Barbara, California","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064841888","display_name":"Pietro Babighian","orcid":null},"institutions":[{"id":"https://openalex.org/I35662394","display_name":"GlobalFoundries (United States)","ror":"https://ror.org/02h0ps145","country_code":"US","type":"company","lineage":["https://openalex.org/I35662394"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pietro Babighian","raw_affiliation_strings":["GLOBALFOUNDRIES, NY, Malta"],"affiliations":[{"raw_affiliation_string":"GLOBALFOUNDRIES, NY, Malta","institution_ids":["https://openalex.org/I35662394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091437311","display_name":"Yan Pan","orcid":"https://orcid.org/0000-0002-4546-2351"},"institutions":[{"id":"https://openalex.org/I35662394","display_name":"GlobalFoundries (United States)","ror":"https://ror.org/02h0ps145","country_code":"US","type":"company","lineage":["https://openalex.org/I35662394"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Pan","raw_affiliation_strings":["GLOBALFOUNDRIES, NY, Malta"],"affiliations":[{"raw_affiliation_string":"GLOBALFOUNDRIES, NY, Malta","institution_ids":["https://openalex.org/I35662394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039431688","display_name":"John M. Carulli","orcid":null},"institutions":[{"id":"https://openalex.org/I35662394","display_name":"GlobalFoundries (United States)","ror":"https://ror.org/02h0ps145","country_code":"US","type":"company","lineage":["https://openalex.org/I35662394"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Carulli","raw_affiliation_strings":["GLOBALFOUNDRIES, NY, Malta"],"affiliations":[{"raw_affiliation_string":"GLOBALFOUNDRIES, NY, Malta","institution_ids":["https://openalex.org/I35662394"]}]},{"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":["College of Engineering, University of California, Santa Barbara, Santa Barbara, California"],"affiliations":[{"raw_affiliation_string":"College of Engineering, University of California, Santa Barbara, Santa Barbara, California","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028980757"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":1.8065,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87755832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"di","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":0.9998999834060669,"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":0.9998999834060669,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9954000115394592,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/data-mining","display_name":"Data mining","score":0.7183084487915039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6610855460166931},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.58841872215271},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5342233777046204},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35126370191574097},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3079296350479126}],"concepts":[{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7183084487915039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6610855460166931},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.58841872215271},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5342233777046204},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35126370191574097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3079296350479126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/test.2017.8242050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/test.2017.8242050","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307757","display_name":"Advanced Micro Devices","ror":"https://ror.org/04kd6c783"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W151377110","https://openalex.org/W1592090717","https://openalex.org/W1673310716","https://openalex.org/W1977556410","https://openalex.org/W2044855549","https://openalex.org/W2075350166","https://openalex.org/W2082084770","https://openalex.org/W2095848267","https://openalex.org/W2107609659","https://openalex.org/W2114024582","https://openalex.org/W2122132511","https://openalex.org/W2124253308","https://openalex.org/W2131819669","https://openalex.org/W2138735239","https://openalex.org/W2149159134","https://openalex.org/W2156294156","https://openalex.org/W2159254834","https://openalex.org/W2161229078","https://openalex.org/W2165162946","https://openalex.org/W2509074878","https://openalex.org/W4230940000","https://openalex.org/W4290647025","https://openalex.org/W6635595544","https://openalex.org/W6637131181","https://openalex.org/W6682713643","https://openalex.org/W6841561453"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2118564381","https://openalex.org/W2163901716","https://openalex.org/W2152204162","https://openalex.org/W2739821120","https://openalex.org/W2150136235","https://openalex.org/W2026095310","https://openalex.org/W2140661912","https://openalex.org/W2056806613","https://openalex.org/W2153069032"],"abstract_inverted_index":{"This":[0],"work":[1],"studies":[2],"a":[3],"data-driven":[4],"methodology":[5,21,85,98],"for":[6],"detecting":[7],"systematic":[8,27,53,73],"defects":[9,33],"using":[10],"layout-aware":[11],"scan":[12],"diagnosis":[13],"data.":[14],"As":[15],"part":[16],"of":[17,93],"volume":[18],"diagnosis,":[19],"this":[20],"focuses":[22],"on":[23,77,106],"ranking":[24],"the":[25,38,81,84,91],"most":[26],"defective":[28,57,74],"signatures,":[29],"while":[30,61],"possible":[31],"random":[32],"are":[34,68,102],"also":[35],"present":[36],"in":[37],"wafer.":[39],"The":[40],"main":[41],"analysis":[42,82],"components":[43],"utilize":[44],"\u03c7":[45],"<sup":[46],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[47],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[48],"Independence":[49],"Tests":[50],"to":[51,70,89],"establish":[52],"relationships":[54],"between":[55],"reported":[56],"signatures":[58],"and":[59,64,100],"defects,":[60],"data":[62],"clustering":[63],"net":[65],"repeating":[66],"signals":[67],"used":[69],"amplify":[71],"these":[72],"signals.":[75],"Based":[76],"consensus":[78],"results":[79],"from":[80,109],"components,":[83],"provides":[86],"physical":[87],"candidates":[88],"facilitate":[90],"discovery":[92],"potential":[94],"yield":[95],"limiters.":[96],"Finally,":[97],"effectiveness":[99],"evaluations":[101],"presented":[103],"through":[104],"application":[105],"production":[107],"wafers":[108],"three":[110],"14nm":[111],"products.":[112]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
