{"id":"https://openalex.org/W2036386583","doi":"https://doi.org/10.1109/itsc.2012.6338803","title":"A sequential testing approach for change-point detection on bus door systems","display_name":"A sequential testing approach for change-point detection on bus door systems","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2036386583","doi":"https://doi.org/10.1109/itsc.2012.6338803","mag":"2036386583"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2012.6338803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2012.6338803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 15th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5088538915","display_name":"Nicolas Cheifetz","orcid":null},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Cheifetz","raw_affiliation_strings":["IFSTTAR, GRETTIA, University Paris-Est, Noisy-le-Grand, France","University Paris-Est, IFSTTAR, GRETTIA, F-93166 Noisy-le-Grand, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IFSTTAR, GRETTIA, University Paris-Est, Noisy-le-Grand, France","institution_ids":["https://openalex.org/I2800365227"]},{"raw_affiliation_string":"University Paris-Est, IFSTTAR, GRETTIA, F-93166 Noisy-le-Grand, France","institution_ids":["https://openalex.org/I2800365227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076973948","display_name":"Allou Sam\u00e9","orcid":"https://orcid.org/0000-0003-1531-6019"},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Allou Same","raw_affiliation_strings":["IFSTTAR, GRETTIA, University Paris-Est, Noisy-le-Grand, France","University Paris-Est, IFSTTAR, GRETTIA, F-93166 Noisy-le-Grand, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IFSTTAR, GRETTIA, University Paris-Est, Noisy-le-Grand, France","institution_ids":["https://openalex.org/I2800365227"]},{"raw_affiliation_string":"University Paris-Est, IFSTTAR, GRETTIA, F-93166 Noisy-le-Grand, France","institution_ids":["https://openalex.org/I2800365227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052312255","display_name":"Patrice Aknin","orcid":"https://orcid.org/0000-0003-3557-0225"},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patrice Aknin","raw_affiliation_strings":["IFSTTAR, GRETTIA, University Paris-Est, Noisy-le-Grand, France","University Paris-Est, IFSTTAR, GRETTIA, F-93166 Noisy-le-Grand, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IFSTTAR, GRETTIA, University Paris-Est, Noisy-le-Grand, France","institution_ids":["https://openalex.org/I2800365227"]},{"raw_affiliation_string":"University Paris-Est, IFSTTAR, GRETTIA, F-93166 Noisy-le-Grand, France","institution_ids":["https://openalex.org/I2800365227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015086030","display_name":"Emmanuel de Verdalle","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134736","display_name":"Veolia (France)","ror":"https://ror.org/03mwypp50","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210134736"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Emmanuel de Verdalle","raw_affiliation_strings":["Veolia Environnement, France","VEOLIA Environnement, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Veolia Environnement, France","institution_ids":["https://openalex.org/I4210134736"]},{"raw_affiliation_string":"VEOLIA Environnement, France","institution_ids":["https://openalex.org/I4210134736"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17445688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"46","issue":null,"first_page":"1846","last_page":"1851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.996999979019165,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cusum","display_name":"CUSUM","score":0.9384538531303406},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.7460564374923706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901201605796814},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.6503124237060547},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.540091335773468},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46043911576271057},{"id":"https://openalex.org/keywords/doors","display_name":"Doors","score":0.43160921335220337},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4283321797847748},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3474365770816803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2823745310306549},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22779664397239685},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16712436079978943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12691041827201843}],"concepts":[{"id":"https://openalex.org/C178518018","wikidata":"https://www.wikidata.org/wiki/Q1024555","display_name":"CUSUM","level":2,"score":0.9384538531303406},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.7460564374923706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901201605796814},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.6503124237060547},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.540091335773468},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46043911576271057},{"id":"https://openalex.org/C125209513","wikidata":"https://www.wikidata.org/wiki/Q4037520","display_name":"Doors","level":2,"score":0.43160921335220337},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4283321797847748},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3474365770816803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2823745310306549},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22779664397239685},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16712436079978943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12691041827201843},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2012.6338803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2012.6338803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 15th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W11840831","https://openalex.org/W376961572","https://openalex.org/W1589063909","https://openalex.org/W1981904416","https://openalex.org/W2018319586","https://openalex.org/W2030490597","https://openalex.org/W2044385897","https://openalex.org/W2051903196","https://openalex.org/W2057283314","https://openalex.org/W2079025339","https://openalex.org/W2095649426","https://openalex.org/W2113508851","https://openalex.org/W2119964381","https://openalex.org/W2122646361","https://openalex.org/W2168175751","https://openalex.org/W2325067522","https://openalex.org/W2518887247","https://openalex.org/W2903718010","https://openalex.org/W3101931750","https://openalex.org/W3121158818","https://openalex.org/W4249116379","https://openalex.org/W6635132168","https://openalex.org/W6674621959"],"related_works":["https://openalex.org/W2056974159","https://openalex.org/W2753583628","https://openalex.org/W2138199368","https://openalex.org/W1788036421","https://openalex.org/W4384561785","https://openalex.org/W1972553508","https://openalex.org/W2105425943","https://openalex.org/W4307934096","https://openalex.org/W2910753852","https://openalex.org/W2115962466"],"abstract_inverted_index":{"Detecting":[0],"change-points":[1],"and":[2,47,58],"anomalies":[3],"on":[4,68,121],"sequential":[5,69],"data":[6,48,70,123],"is":[7,29,81,99],"common":[8],"in":[9,38,75,90],"various":[10],"domains":[11],"such":[12],"as":[13],"fraud":[14],"detection":[15,20,67],"for":[16,21],"credit":[17],"cards,":[18],"intrusion":[19],"cyber-security":[22],"or":[23],"military":[24],"surveillance":[25],"[1].":[26],"This":[27],"study":[28],"motivated":[30],"by":[31,55],"the":[32,56,91,103,114,125,129],"predictive":[33],"maintenance":[34],"of":[35,84,108,128],"pneumatic":[36],"doors":[37],"transit":[39],"buses.":[40],"For":[41],"this":[42,61,109],"purpose,":[43],"buses":[44],"are":[45,49,111],"instrumented":[46],"collected":[50],"through":[51],"embedded":[52],"sensors.":[53],"Inspired":[54],"CUSUM":[57],"GLR":[59],"approaches,":[60],"paper":[62],"deals":[63],"with":[64],"on-line":[65],"change-point":[66],"where":[71],"each":[72],"observation":[73],"consists":[74],"a":[76,87],"bivariate":[77],"curve.":[78],"The":[79,105],"system":[80],"considered":[82],"out":[83],"control":[85],"when":[86],"change":[88],"occurs":[89],"curves":[92],"probability":[93],"distribution.":[94],"A":[95],"specific":[96],"regression":[97],"model":[98,110],"used":[100],"to":[101],"describe":[102],"curves.":[104],"unknown":[106],"parameters":[107],"estimated":[112],"using":[113],"maximum":[115],"likelihood":[116],"principle.":[117],"Experimental":[118],"studies":[119],"performed":[120],"realistic":[122],"demonstrate":[124],"promising":[126],"behavior":[127],"proposed":[130],"method.":[131]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
