{"id":"https://openalex.org/W2164539088","doi":"https://doi.org/10.1145/2528282.2528302","title":"Towards Automatic Spatial Verification of Sensor Placement in Buildings","display_name":"Towards Automatic Spatial Verification of Sensor Placement in Buildings","publication_year":2013,"publication_date":"2013-10-29","ids":{"openalex":"https://openalex.org/W2164539088","doi":"https://doi.org/10.1145/2528282.2528302","mag":"2164539088"},"language":"en","primary_location":{"id":"doi:10.1145/2528282.2528302","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2528282.2528302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","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/A5103578908","display_name":"Dezhi Hong","orcid":null},"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":"Dezhi Hong","raw_affiliation_strings":["Department of Computer Science, University of Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039304849","display_name":"Jorge Ortiz","orcid":"https://orcid.org/0000-0002-9220-024X"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jorge Ortiz","raw_affiliation_strings":["Computer Science Division, University of California Berkeley, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Division, University of California Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044125386","display_name":"Kamin Whitehouse","orcid":null},"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":"Kamin Whitehouse","raw_affiliation_strings":["Department of Computer Science, University of Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056732574","display_name":"David Culler","orcid":"https://orcid.org/0000-0002-0460-9900"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Culler","raw_affiliation_strings":["Computer Science Division, University of California Berkeley, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Division, University of California Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5766,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.90612009,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9898999929428101,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9898999929428101,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9760000109672546,"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/firmware","display_name":"Firmware","score":0.8055896162986755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7800132036209106},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.678097128868103},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.545160174369812},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.535825252532959},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.45785200595855713},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.42398011684417725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3043261170387268}],"concepts":[{"id":"https://openalex.org/C67212190","wikidata":"https://www.wikidata.org/wiki/Q104851","display_name":"Firmware","level":2,"score":0.8055896162986755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7800132036209106},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.678097128868103},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.545160174369812},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.535825252532959},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.45785200595855713},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42398011684417725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3043261170387268},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2528282.2528302","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2528282.2528302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309411","display_name":"University of California Berkeley","ror":"https://ror.org/01an7q238"},{"id":"https://openalex.org/F4320337395","display_name":"Division of Emerging Frontiers in Research and Innovation","ror":"https://ror.org/0388pet74"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W126361580","https://openalex.org/W133810072","https://openalex.org/W2007221293","https://openalex.org/W2019818451","https://openalex.org/W2028497691","https://openalex.org/W2031661937","https://openalex.org/W2042145419","https://openalex.org/W2048231947","https://openalex.org/W2058579319","https://openalex.org/W2085298582","https://openalex.org/W2092335550","https://openalex.org/W2093300872","https://openalex.org/W2093434700","https://openalex.org/W2118153514","https://openalex.org/W2147252654","https://openalex.org/W2799061466","https://openalex.org/W3139987781","https://openalex.org/W4205687621","https://openalex.org/W4365800106","https://openalex.org/W6657430737","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W2582981600","https://openalex.org/W4387467152","https://openalex.org/W4253989935","https://openalex.org/W2066354466","https://openalex.org/W4379115910","https://openalex.org/W3010413952","https://openalex.org/W2810560948","https://openalex.org/W2070793896","https://openalex.org/W4287635472","https://openalex.org/W4206124993"],"abstract_inverted_index":{"Most":[0],"large,":[1],"commercial":[2],"buildings":[3,44],"contain":[4],"thousands":[5],"of":[6,121,153],"sensors":[7,15],"that":[8,75,140,150],"are":[9,16],"manually":[10],"deployed":[11],"and":[12,20,25,46,50,57,131],"managed.":[13],"These":[14,146],"used":[17],"by":[18],"software":[19],"firmware":[21],"processes":[22,31],"to":[23,39,69,82,142],"analyze":[24],"control":[26],"building":[27,47,97],"operations.":[28],"Many":[29],"such":[30],"rely":[32],"on":[33,111],"sensor":[34,85],"placement":[35,53,154],"information":[36,54,155],"in":[37,95],"order":[38],"perform":[40],"correctly.":[41],"However,":[42],"as":[43],"evolve":[45],"subsystems":[48],"grow":[49],"change,":[51],"managing":[52],"becomes":[55],"burdensome":[56],"error-prone.":[58],"An":[59],"automatic":[60,151],"verification":[61,152],"process":[62],"is":[63,80,156],"needed.":[64],"We":[65,73],"investigate":[66],"empirical":[67],"methods":[68],"automate":[70],"spatial":[71,77],"verification.":[72],"find":[74],"a":[76,96,105,118,143],"clustering":[78],"algorithm":[79],"able":[81],"classify":[83],"relative":[84],"locations":[86],"--":[87,98],"for":[88],"15":[89],"sensors,":[90],"spread":[91],"across":[92],"five":[93],"rooms":[94],"with":[99],"93.3%":[100],"accuracy,":[101],"13%":[102],"better":[103],"than":[104],"k-means":[106],"clustering-based":[107],"baseline":[108],"method.":[109],"Analysis":[110],"the":[112,126],"raw":[113],"time":[114],"series":[115],"data":[116],"has":[117],"classification":[119],"accuracy":[120],"only":[122],"53%.":[123],"By":[124],"decomposing":[125],"signal":[127],"into":[128],"intrinsic":[129],"modes":[130],"performing":[132],"correlation":[133],"analysis,":[134],"an":[135],"observable,":[136],"statistical":[137],"boundary":[138],"emerges":[139],"corresponds":[141],"physical":[144],"one.":[145],"results":[147],"may":[148],"suggest":[149],"possible.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}