{"id":"https://openalex.org/W3007513556","doi":"https://doi.org/10.1109/bigdata47090.2019.9006318","title":"Kensor: Coordinated Intelligence from Co-Located Sensors","display_name":"Kensor: Coordinated Intelligence from Co-Located Sensors","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007513556","doi":"https://doi.org/10.1109/bigdata47090.2019.9006318","mag":"3007513556"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/servlets/purl/1606827","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021188335","display_name":"Olivera Kotevska","orcid":"https://orcid.org/0000-0003-1677-2243"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Olivera Kotevska","raw_affiliation_strings":["Computer Science and Mathematics Oak Ridge National Laboratory, Oak Ridge, TN, U.S.A"],"affiliations":[{"raw_affiliation_string":"Computer Science and Mathematics Oak Ridge National Laboratory, Oak Ridge, TN, U.S.A","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046010392","display_name":"Kalyan S. Perumalla","orcid":"https://orcid.org/0000-0002-7458-0832"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalyan Perumalla","raw_affiliation_strings":["Computer Science and Mathematics Oak Ridge National Laboratory, Oak Ridge, TN, U.S.A"],"affiliations":[{"raw_affiliation_string":"Computer Science and Mathematics Oak Ridge National Laboratory, Oak Ridge, TN, U.S.A","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101896115","display_name":"Juan Lopez","orcid":"https://orcid.org/0000-0001-5083-8627"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juan Lopez","raw_affiliation_strings":["Computer Science and Mathematics Oak Ridge National Laboratory, Oak Ridge, TN, U.S.A"],"affiliations":[{"raw_affiliation_string":"Computer Science and Mathematics Oak Ridge National Laboratory, Oak Ridge, TN, U.S.A","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021188335"],"corresponding_institution_ids":["https://openalex.org/I1289243028"],"apc_list":null,"apc_paid":null,"fwci":0.4087,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67417595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"330","issue":null,"first_page":"4169","last_page":"4174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9871000051498413,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9871000051498413,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.4767616391181946}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4767616391181946}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1606827","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1606827","pdf_url":"https://www.osti.gov/servlets/purl/1606827","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1606827","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1606827","pdf_url":"https://www.osti.gov/servlets/purl/1606827","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320306250","display_name":"Battelle","ror":"https://ror.org/01h5tnr73"},{"id":"https://openalex.org/F4320316892","display_name":"UT-Battelle","ror":"https://ror.org/04nza6677"},{"id":"https://openalex.org/F4320338287","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3007513556.pdf"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2025723605","https://openalex.org/W2034053858","https://openalex.org/W2069098720","https://openalex.org/W2120220258","https://openalex.org/W2124089753","https://openalex.org/W2166934151","https://openalex.org/W2537834298","https://openalex.org/W2901929900","https://openalex.org/W2908921601","https://openalex.org/W2930608694","https://openalex.org/W2955570220","https://openalex.org/W6684101158"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Internet":[0],"of":[1,18,29,77,83,98,180],"Things":[2],"(IoT)":[3],"is":[4,26,107,121,175],"becoming":[5],"more":[6],"pervasive":[7],"in":[8,69],"many":[9],"installations,":[10],"including":[11],"homes,":[12],"manufacturing":[13],"plants,":[14],"and":[15,36,59,73,125,142,182],"industrial":[16],"facilities":[17,129],"all":[19],"kinds.":[20],"The":[21,172],"data":[22],"that":[23,65,91,163],"IoT":[24],"produces":[25],"a":[27,75,81,178],"reflection":[28],"usual":[30],"behavior":[31,43,106],"such":[32,130],"as":[33,131,177],"daily":[34],"routines":[35],"scheduled":[37],"tasks,":[38],"but":[39],"also":[40],"from":[41,62],"unexpected":[42],"due":[44],"to":[45,167],"unintentional":[46],"or":[47],"undesirable":[48],"abnormalities.":[49],"Here,":[50],"we":[51,86,157],"focus":[52],"on":[53],"achieving":[54],"coordinated":[55],"intelligence":[56],"about":[57],"normal":[58,105],"abnormal":[60],"phenomena":[61],"multiple":[63],"sensors":[64,145],"are":[66,150],"geographically":[67],"co-located":[68,78,84,144],"close":[70],"proximity,":[71],"monitoring":[72,110,124],"controlling":[74],"set":[76,82],"devices.":[79],"Given":[80],"sensors,":[85],"seek":[87],"an":[88,122],"intelligent":[89],"approach":[90,162],"would":[92],"automatically":[93],"determine":[94],"the":[95,101,147,159],"\u201cnormal\u201d":[96],"patterns":[97],"behaviors":[99],"among":[100],"correlated":[102],"sensors.":[103],"After":[104],"extracted,":[108],"later":[109],"should":[111],"detect":[112],"any":[113],"deviant":[114],"variations":[115],"over":[116],"time.":[117],"An":[118],"example":[119],"application":[120],"entry":[123,148],"alert":[126],"system":[127],"for":[128],"nuclear":[132],"reactors,":[133],"where":[134],"badge":[135],"readers,":[136],"door":[137],"locks,":[138],"lights,":[139],"weight":[140],"trackers":[141],"other":[143],"at":[146],"point":[149],"collectively":[151],"tracked.":[152],"To":[153],"address":[154],"this":[155],"problem,":[156],"identify":[158],"possible":[160],"solution":[161],"can":[164],"be":[165],"used":[166],"solve":[168],"its":[169],"different":[170],"variants.":[171],"implemented":[173],"model":[174],"developed":[176],"combination":[179],"rules":[181],"Markov":[183],"Chain":[184],"methods.":[185]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
