{"id":"https://openalex.org/W3171622190","doi":"https://doi.org/10.3390/s21113880","title":"Anomaly Detection Using Signal Segmentation and One-Class Classification in Diffusion Process of Semiconductor Manufacturing","display_name":"Anomaly Detection Using Signal Segmentation and One-Class Classification in Diffusion Process of Semiconductor Manufacturing","publication_year":2021,"publication_date":"2021-06-04","ids":{"openalex":"https://openalex.org/W3171622190","doi":"https://doi.org/10.3390/s21113880","mag":"3171622190","pmid":"https://pubmed.ncbi.nlm.nih.gov/34199809"},"language":"en","primary_location":{"id":"doi:10.3390/s21113880","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21113880","pdf_url":"https://www.mdpi.com/1424-8220/21/11/3880/pdf?version=1622799056","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/11/3880/pdf?version=1622799056","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079106943","display_name":"Kyuchang Chang","orcid":"https://orcid.org/0000-0003-1928-9417"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyuchang Chang","raw_affiliation_strings":["Department of Industrial and Management Engineering, Korea University, Seoul 02841, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Management Engineering, Korea University, Seoul 02841, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035667590","display_name":"Youngji Yoo","orcid":"https://orcid.org/0000-0002-2410-8468"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngji Yoo","raw_affiliation_strings":["Samsung Electronics Co., Ltd., Hwaseong-si 18448, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Electronics Co., Ltd., Hwaseong-si 18448, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021164528","display_name":"Jun\u2010Geol Baek","orcid":"https://orcid.org/0000-0002-7088-1478"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jun-Geol Baek","raw_affiliation_strings":["Department of Industrial and Management Engineering, Korea University, Seoul 02841, Korea"],"raw_orcid":"https://orcid.org/0000-0002-7088-1478","affiliations":[{"raw_affiliation_string":"Department of Industrial and Management Engineering, Korea University, Seoul 02841, Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021164528"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.4327,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84830472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"21","issue":"11","first_page":"3880","last_page":"3880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/anomaly-detection","display_name":"Anomaly detection","score":0.6564058065414429},{"id":"https://openalex.org/keywords/semiconductor-device-fabrication","display_name":"Semiconductor device fabrication","score":0.5943707823753357},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5915207266807556},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.57509446144104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5657092928886414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5283782482147217},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4946534335613251},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4870019555091858},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4858419597148895},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.476775199174881},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4578993618488312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4552059471607208},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45427829027175903},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3076951503753662}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6564058065414429},{"id":"https://openalex.org/C66018809","wikidata":"https://www.wikidata.org/wiki/Q1570432","display_name":"Semiconductor device fabrication","level":3,"score":0.5943707823753357},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5915207266807556},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.57509446144104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5657092928886414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5283782482147217},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4946534335613251},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4870019555091858},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4858419597148895},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.476775199174881},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4578993618488312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4552059471607208},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45427829027175903},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3076951503753662},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C160671074","wikidata":"https://www.wikidata.org/wiki/Q267131","display_name":"Wafer","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004058","descriptor_name":"Diffusion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004058","descriptor_name":"Diffusion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004058","descriptor_name":"Diffusion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012666","descriptor_name":"Semiconductors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012666","descriptor_name":"Semiconductors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012666","descriptor_name":"Semiconductors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21113880","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21113880","pdf_url":"https://www.mdpi.com/1424-8220/21/11/3880/pdf?version=1622799056","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34199809","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34199809","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:e320eb4135c24ccf81a333de99023550","is_oa":true,"landing_page_url":"https://doaj.org/article/e320eb4135c24ccf81a333de99023550","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 11, p 3880 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/11/3880/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21113880","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 11; Pages: 3880","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8200057","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8200057","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21113880","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21113880","pdf_url":"https://www.mdpi.com/1424-8220/21/11/3880/pdf?version=1622799056","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2935672843","display_name":null,"funder_award_id":"(IO201210-07929-01)","funder_id":"https://openalex.org/F4320332195","funder_display_name":"Samsung"},{"id":"https://openalex.org/G4019332597","display_name":null,"funder_award_id":"IO201210-07929-01","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6306677722","display_name":null,"funder_award_id":"NRF-2019R1A2C2005949","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G7955181452","display_name":null,"funder_award_id":"NRF-2019R1A2C2005949","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8882879097","display_name":null,"funder_award_id":"2019R1A2C2005949","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3171622190.pdf","grobid_xml":"https://content.openalex.org/works/W3171622190.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W848133049","https://openalex.org/W1900747440","https://openalex.org/W1968354112","https://openalex.org/W1979336685","https://openalex.org/W1995445561","https://openalex.org/W1996125472","https://openalex.org/W1996794795","https://openalex.org/W2004785362","https://openalex.org/W2011272347","https://openalex.org/W2012609801","https://openalex.org/W2016973429","https://openalex.org/W2047734742","https://openalex.org/W2104052971","https://openalex.org/W2123502857","https://openalex.org/W2156784583","https://openalex.org/W2159806329","https://openalex.org/W2296719434","https://openalex.org/W2594332903","https://openalex.org/W2781590243","https://openalex.org/W2786161686","https://openalex.org/W2908621974","https://openalex.org/W2909693411","https://openalex.org/W2909824977","https://openalex.org/W2989800785","https://openalex.org/W4205812872","https://openalex.org/W4254182148"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729"],"abstract_inverted_index":{"This":[0,50,141],"paper":[1],"proposes":[2],"a":[3,144],"new":[4,79],"diagnostic":[5],"method":[6,145,207],"for":[7,19,41],"sensor":[8],"signals":[9,15],"collected":[10],"during":[11,34,60],"semiconductor":[12,65],"manufacturing.":[13],"These":[14],"provide":[16],"important":[17],"information":[18],"predicting":[20],"the":[21,26,31,67,122,152,181,188,205],"quality":[22],"and":[23,44,71,100,111,150,175,199],"yield":[24],"of":[25,30,115,124,157,192,204,212],"finished":[27],"product.":[28],"Much":[29],"data":[32,40,73,113,126,136],"gathered":[33],"this":[35],"process":[36],"is":[37,87,94,120,127,208],"time":[38,53],"series":[39,54],"fault":[42],"detection":[43],"classification":[45,55,104,177],"(FDC)":[46],"in":[47,64,82],"real":[48],"time.":[49],"means":[51],"that":[52,88,121,146,211],"(TSC)":[56],"must":[57],"be":[58],"performed":[59],"fabrication.":[61],"With":[62],"advances":[63],"manufacturing,":[66],"distinction":[68],"between":[69],"normal":[70,110,135],"abnormal":[72,112,125],"has":[74,162],"become":[75],"increasingly":[76],"significant":[77],"as":[78],"challenges":[80],"arise":[81],"their":[83,139],"identification.":[84],"One":[85],"challenge":[86,119],"an":[89],"extremely":[90],"high":[91],"FDC":[92,153],"performance":[93,203],"required,":[95],"which":[96],"directly":[97],"impacts":[98],"productivity":[99],"yield.":[101],"However,":[102],"general":[103],"algorithms":[105],"can":[106,132],"have":[107],"difficulty":[108],"separating":[109],"because":[114],"subtle":[116],"differences.":[117],"Another":[118],"frequency":[123],"remarkably":[128],"low.":[129],"Hence,":[130],"engineers":[131],"use":[133],"only":[134],"to":[137,210],"develop":[138],"models.":[140],"study":[142],"presents":[143],"overcomes":[147],"these":[148],"problems":[149],"improves":[151],"performance;":[154],"it":[155],"consists":[156,191],"two":[158],"phases.":[159],"Phase":[160,186],"I":[161],"three":[163,193],"steps:":[164,194],"signal":[165,195],"segmentation,":[166,196],"feature":[167,197],"extraction":[168],"based":[169],"on":[170],"local":[171],"outlier":[172],"factors":[173],"(LOF),":[174],"one-class":[176],"(OCC)":[178],"modeling":[179],"using":[180],"isolation":[182],"forest":[183],"(iF)":[184],"algorithm.":[185],"II,":[187],"test":[189],"stage,":[190],"extraction,":[198],"anomaly":[200],"detection.":[201],"The":[202],"proposed":[206],"superior":[209],"other":[213],"baseline":[214],"methods.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
