{"id":"https://openalex.org/W4309994932","doi":"https://doi.org/10.1109/ictc55196.2022.9952862","title":"An Active Reference Reset Method Adapting Distribution Shift for Robust System Anomaly Detection","display_name":"An Active Reference Reset Method Adapting Distribution Shift for Robust System Anomaly Detection","publication_year":2022,"publication_date":"2022-10-19","ids":{"openalex":"https://openalex.org/W4309994932","doi":"https://doi.org/10.1109/ictc55196.2022.9952862"},"language":"en","primary_location":{"id":"doi:10.1109/ictc55196.2022.9952862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc55196.2022.9952862","pdf_url":null,"source":{"id":"https://openalex.org/S4363607740","display_name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","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/A5101726173","display_name":"Seungwan Seo","orcid":"https://orcid.org/0000-0001-5204-3350"},"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":"Seungwan Seo","raw_affiliation_strings":["Korea University,Department of Industrial & Management Engineering,Seoul,South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Department of Industrial & Management Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071852849","display_name":"Heejeong Choi","orcid":"https://orcid.org/0000-0002-5002-4436"},"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":"Heejeong Choi","raw_affiliation_strings":["Korea University,Department of Industrial & Management Engineering,Seoul,South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Department of Industrial & Management Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059650940","display_name":"Pilsung Kang","orcid":"https://orcid.org/0000-0001-7663-3937"},"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":"Pilsung Kang","raw_affiliation_strings":["Korea University,Department of Industrial & Management Engineering,Seoul,South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Department of Industrial & Management Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101726173"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12852833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"515","last_page":"518"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.972599983215332,"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":0.7666652202606201},{"id":"https://openalex.org/keywords/reset","display_name":"Reset (finance)","score":0.7371718287467957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7111080884933472},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6477144360542297},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.584851086139679},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5348260402679443},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5090629458427429},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44504639506340027},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4194616973400116},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4137110114097595},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.38760656118392944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33809953927993774},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2202846109867096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07828512787818909}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7666652202606201},{"id":"https://openalex.org/C2779795794","wikidata":"https://www.wikidata.org/wiki/Q7315343","display_name":"Reset (finance)","level":2,"score":0.7371718287467957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7111080884933472},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6477144360542297},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.584851086139679},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5348260402679443},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5090629458427429},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44504639506340027},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4194616973400116},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4137110114097595},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.38760656118392944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33809953927993774},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2202846109867096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07828512787818909},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc55196.2022.9952862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc55196.2022.9952862","pdf_url":null,"source":{"id":"https://openalex.org/S4363607740","display_name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2296719434","https://openalex.org/W2486255685","https://openalex.org/W2896784509","https://openalex.org/W2962736999","https://openalex.org/W2964336507","https://openalex.org/W3007518527","https://openalex.org/W3036798749","https://openalex.org/W3094146027","https://openalex.org/W3116705425","https://openalex.org/W4282984446","https://openalex.org/W6788018288"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2],"ensure":[3],"the":[4,28,55,85,101],"operation":[5],"reliability":[6],"of":[7,31,51],"process":[8],"systems":[9],"in":[10,43],"various":[11,110],"industries,":[12],"faults":[13],"and":[14,53],"unplanned":[15],"shutdowns":[16,52],"must":[17],"be":[18],"detected":[19,25],"early.":[20],"Traditionally,":[21],"they":[22,59],"have":[23,37,67],"been":[24,38],"based":[26],"on":[27,95],"domain":[29],"knowledge":[30],"industrial":[32],"engineers.":[33],"However,":[34,58],"data-based":[35],"methods":[36,47],"developed":[39],"with":[40],"recent":[41],"advances":[42],"machine-learning":[44],"algorithms.":[45],"These":[46],"can":[48,60],"detect":[49,105],"signs":[50,107],"set":[54,89],"alarms":[56],"off.":[57],"not":[61],"account":[62],"for":[63],"data":[64,98],"distributions":[65],"that":[66,100],"undergone":[68],"changes":[69],"after":[70],"shutdowns.":[71],"To":[72],"handle":[73],"this":[74],"challenge,":[75],"we":[76],"propose":[77],"a":[78],"robust":[79],"system":[80],"anomaly":[81],"detection":[82],"algorithm":[83],"using":[84],"distribution-based":[86],"active":[87],"reference":[88],"reset":[90],"method.":[91],"The":[92],"experimental":[93],"results":[94],"real-world":[96],"industry":[97],"show":[99],"proposed":[102],"method":[103],"could":[104],"abnormal":[106],"early":[108],"at":[109],"thresholds.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}