{"id":"https://openalex.org/W4410140549","doi":"https://doi.org/10.1145/3716550.3725159","title":"Data Efficient PV based Indoor Event Detection","display_name":"Data Efficient PV based Indoor Event Detection","publication_year":2025,"publication_date":"2025-05-06","ids":{"openalex":"https://openalex.org/W4410140549","doi":"https://doi.org/10.1145/3716550.3725159"},"language":"en","primary_location":{"id":"doi:10.1145/3716550.3725159","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716550.3725159","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3716550.3725159","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2025)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3716550.3725159","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059887480","display_name":"Tushar Routh","orcid":"https://orcid.org/0000-0003-1631-2001"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tushar Routh","raw_affiliation_strings":["University of Virginia, Charlottesville, Virginia, USA"],"raw_orcid":"https://orcid.org/0000-0003-1631-2001","affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012051562","display_name":"Jiechao Gao","orcid":"https://orcid.org/0000-0003-0628-1416"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiechao Gao","raw_affiliation_strings":["University of Virginia, Charlottesville, Virginia, USA"],"raw_orcid":"https://orcid.org/0000-0003-0628-1416","affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054416117","display_name":"Bradford Campbell","orcid":"https://orcid.org/0000-0002-4103-8107"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bradford Campbell","raw_affiliation_strings":["University of Virginia, Charlottesville, Virginia, USA"],"raw_orcid":"https://orcid.org/0000-0002-4103-8107","affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059887480"],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04162819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973000288009644,"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":0.9973000288009644,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9882000088691711,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.7068787217140198},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5122258067131042},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.43750712275505066},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3614499568939209},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09381130337715149},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.06875863671302795}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7068787217140198},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5122258067131042},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.43750712275505066},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3614499568939209},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09381130337715149},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.06875863671302795},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3716550.3725159","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716550.3725159","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3716550.3725159","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2025)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3716550.3725159","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716550.3725159","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3716550.3725159","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2025)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410140549.pdf","grobid_xml":"https://content.openalex.org/works/W4410140549.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W2160331326","https://openalex.org/W4317927941"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2386968573","https://openalex.org/W2395064349","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"In":[0,115],"this":[1],"paper,":[2],"we":[3,25,80],"argue":[4],"that":[5],"instead":[6],"of":[7,33,84,132],"indiscriminately":[8],"transmitting":[9],"every":[10],"sensed":[11],"value,":[12],"data":[13,78,125],"transmission":[14],"should":[15],"prioritize":[16],"relevance,":[17],"intelligence,":[18],"and":[19,45,58,61,104,135],"efficiency.":[20],"As":[21],"a":[22,123,139],"case":[23],"study,":[24],"investigate":[26],"exit/entry":[27],"event":[28,88],"detection":[29,50,89],"through":[30],"the":[31,82,130],"generation":[32],"signature":[34],"voltage":[35],"patterns":[36],"from":[37],"PV":[38],"module":[39],"connected":[40],"to":[41,108],"an":[42,85],"IoT":[43],"platform":[44],"placed":[46],"near":[47],"entrance.":[48],"This":[49],"technique":[51,107],"facilitates":[52],"automated":[53],"appliance":[54],"management":[55],"(e.g.,":[56,65],"lighting":[57],"HVAC":[59],"control)":[60],"improves":[62],"indoor":[63],"security":[64],"unauthorized":[66],"entry":[67],"detection)":[68],"by":[69],"leveraging":[70],"existing":[71],"devices":[72],"for":[73,113],"sensing":[74],"purposes.":[75],"To":[76],"enhance":[77],"efficiency,":[79],"propose":[81],"implementation":[83],"intelligent":[86],"on-board":[87],"algorithm,":[90],"prioritizing":[91],"sampling":[92],"points":[93],"within":[94,138],"specific":[95],"timeframes":[96],"based":[97],"on":[98,101],"their":[99],"significance":[100],"classification":[102],"accuracy":[103],"lossless":[105],"compression":[106,126],"further":[109],"squeeze":[110],"necessary":[111],"information":[112],"classification.":[114],"our":[116,119],"testbed":[117],"evaluation,":[118],"approach":[120],"successfully":[121],"achieved":[122],"99.7%":[124],"rate,":[127],"substantially":[128],"reducing":[129],"number":[131],"required":[133],"advertisements":[134],"extending":[136],"operation":[137],"fixed":[140],"energy":[141],"budget.":[142]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}