{"id":"https://openalex.org/W2963650479","doi":"https://doi.org/10.1109/wf-iot.2019.8767217","title":"Anomalous occupancy sensor behavior detection in connected indoor lighting systems","display_name":"Anomalous occupancy sensor behavior detection in connected indoor lighting systems","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2963650479","doi":"https://doi.org/10.1109/wf-iot.2019.8767217","mag":"2963650479"},"language":"en","primary_location":{"id":"doi:10.1109/wf-iot.2019.8767217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot.2019.8767217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 5th World Forum on Internet of Things (WF-IoT)","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/A5003118814","display_name":"Giulia Violatto","orcid":"https://orcid.org/0000-0003-2189-7163"},"institutions":[{"id":"https://openalex.org/I4210163196","display_name":"Signify (Netherlands)","ror":"https://ror.org/0532vdr17","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210163196"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Giulia Violatto","raw_affiliation_strings":["Signify, High Tech Campus, Eindhoven, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Signify, High Tech Campus, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I4210163196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039977183","display_name":"Ashish Pandharipande","orcid":"https://orcid.org/0000-0002-7920-3964"},"institutions":[{"id":"https://openalex.org/I4210163196","display_name":"Signify (Netherlands)","ror":"https://ror.org/0532vdr17","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210163196"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ashish Pandharipande","raw_affiliation_strings":["Signify, High Tech Campus, Eindhoven, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Signify, High Tech Campus, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I4210163196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424061","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0001-7912-6797"},"institutions":[{"id":"https://openalex.org/I4210163196","display_name":"Signify (Netherlands)","ror":"https://ror.org/0532vdr17","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210163196"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["Signify, High Tech Campus, Eindhoven, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Signify, High Tech Campus, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I4210163196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043731055","display_name":"Luca Schenato","orcid":"https://orcid.org/0000-0003-2544-2553"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Schenato","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003118814"],"corresponding_institution_ids":["https://openalex.org/I4210163196"],"apc_list":null,"apc_paid":null,"fwci":0.5772,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75628803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"335","last_page":"339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9972000122070312,"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":0.9972000122070312,"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/T14011","display_name":"Elevator Systems and Control","score":0.9713000059127808,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9703999757766724,"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/occupancy","display_name":"Occupancy","score":0.9138838052749634},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6509185433387756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6346799731254578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5919731855392456},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5462091565132141},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5172486901283264},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4479130506515503},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33468714356422424},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17276963591575623}],"concepts":[{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.9138838052749634},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6509185433387756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6346799731254578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5919731855392456},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5462091565132141},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5172486901283264},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4479130506515503},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33468714356422424},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17276963591575623},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"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":7,"locations":[{"id":"doi:10.1109/wf-iot.2019.8767217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot.2019.8767217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 5th World Forum on Internet of Things (WF-IoT)","raw_type":"proceedings-article"},{"id":"pmh:915689","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=915689","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:library.tue.nl:915689","is_oa":false,"landing_page_url":"http://repository.tue.nl/915689","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/58695aec-0c17-4c53-8e49-a5240df9ae90","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/58695aec-0c17-4c53-8e49-a5240df9ae90","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Violatto, G, Pandharipande, A, Li, S & Schenato, L 2019, Anomalous occupancy sensor behavior detection in connected indoor lighting systems. in IEEE 5th World Forum on Internet of Things, WF-IoT 2019 - Conference Proceedings., 8767217, Institute of Electrical and Electronics Engineers, Piscataway, pp. 335-339, 5th IEEE World Forum on Internet of Things, WF-IoT 2019, Limerick, Ireland, 15/04/19. https://doi.org/10.1109/WF-IoT.2019.8767217","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.tue.nl:publications/58695aec-0c17-4c53-8e49-a5240df9ae90","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85070207365&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Violatto, G, Pandharipande, A, Li, S & Schenato, L 2019, Anomalous occupancy sensor behavior detection in connected indoor lighting systems. in IEEE 5th World Forum on Internet of Things, WF-IoT 2019 - Conference Proceedings., 8767217, Institute of Electrical and Electronics Engineers, Piscataway, pp. 335-339, 5th IEEE World Forum on Internet of Things, WF-IoT 2019, Limerick, Ireland, 15/04/19. https://doi.org/10.1109/WF-IoT.2019.8767217","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:www.research.unipd.it:11577/3525829","is_oa":false,"landing_page_url":"https://hdl.handle.net/11577/3525829","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:tue:oai:pure.tue.nl:publications/58695aec-0c17-4c53-8e49-a5240df9ae90","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/58695aec-0c17-4c53-8e49-a5240df9ae90","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE 5th World Forum on Internet of Things, WF-IoT 2019 - Conference Proceedings, 335 - 339","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W98862427","https://openalex.org/W1253358486","https://openalex.org/W1517087857","https://openalex.org/W1554944419","https://openalex.org/W1605688901","https://openalex.org/W1984515777","https://openalex.org/W2077589412","https://openalex.org/W2103184370","https://openalex.org/W2103614420","https://openalex.org/W2104471998","https://openalex.org/W2124303932","https://openalex.org/W2139899671","https://openalex.org/W2165019986","https://openalex.org/W2165669526","https://openalex.org/W2169178923","https://openalex.org/W2171033594","https://openalex.org/W2325418942","https://openalex.org/W2419231450","https://openalex.org/W2763988619","https://openalex.org/W2783668805","https://openalex.org/W2801427957","https://openalex.org/W2919222231","https://openalex.org/W6604049124","https://openalex.org/W6684773713","https://openalex.org/W6760146560"],"related_works":["https://openalex.org/W4282043467","https://openalex.org/W2105697914","https://openalex.org/W3093197249","https://openalex.org/W1968324288","https://openalex.org/W1540010871","https://openalex.org/W3023979140","https://openalex.org/W2904068067","https://openalex.org/W1565491139","https://openalex.org/W3177545769","https://openalex.org/W2889302474"],"abstract_inverted_index":{"We":[0,39,64],"consider":[1,40],"the":[2,22,49,70],"problem":[3],"of":[4,24,29,52],"classifying":[5],"anomalous":[6],"occupancy":[7,16,54,66],"sensor":[8,17,55,92],"behavior":[9,18],"in":[10,21,69,113],"connected":[11],"indoor":[12],"lighting":[13],"systems.":[14],"Anomalous":[15],"may":[19],"occur":[20],"form":[23],"either":[25],"a":[26,41,77,108,121,126],"high":[27],"number":[28],"false":[30,110],"alarms":[31],"(type-1":[32],"anomalies)":[33],"or":[34,58,61],"missed":[35],"detection":[36,50],"(type-2":[37],"anomalies).":[38],"supervised":[42],"machine":[43],"learning":[44],"approach":[45],"to":[46,81,101,115],"determine":[47],"whether":[48],"signal":[51,67,128],"an":[53,95,116],"is":[56,88,99],"normal,":[57],"exhibits":[59],"type-1":[60],"type-2":[62],"anomalies.":[63],"devise":[65],"features":[68],"time":[71],"and":[72,75,98,107,120],"frequency":[73],"domains":[74],"employ":[76],"random":[78,122],"forest":[79,123],"classifier":[80,124],"perform":[82],"3-class":[83],"classification.":[84],"The":[85],"proposed":[86],"method":[87,119],"evaluated":[89],"using":[90],"motion":[91],"data":[93],"from":[94],"office":[96],"building,":[97],"shown":[100],"have":[102],"higher":[103],"true":[104],"positive":[105,111],"rate":[106,112],"lower":[109],"comparison":[114],"unsupervised":[117],"k-means":[118],"with":[125],"single":[127],"energy":[129],"feature.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}