{"id":"https://openalex.org/W3109507932","doi":"https://doi.org/10.1109/icca51439.2020.9264423","title":"Batch CI-Based Kalman Smoother for PM<sub>2.5</sub> Source Localization","display_name":"Batch CI-Based Kalman Smoother for PM<sub>2.5</sub> Source Localization","publication_year":2020,"publication_date":"2020-10-09","ids":{"openalex":"https://openalex.org/W3109507932","doi":"https://doi.org/10.1109/icca51439.2020.9264423","mag":"3109507932"},"language":"en","primary_location":{"id":"doi:10.1109/icca51439.2020.9264423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca51439.2020.9264423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Control &amp; Automation (ICCA)","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/A5100448044","display_name":"Zhuo Li","orcid":"https://orcid.org/0000-0003-2474-7769"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Li","raw_affiliation_strings":["Department of Automation and BNRist, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation and BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088962631","display_name":"Keyou You","orcid":"https://orcid.org/0000-0003-4355-5340"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyou You","raw_affiliation_strings":["Department of Automation and BNRist, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation and BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101868179","display_name":"Shiji Song","orcid":"https://orcid.org/0000-0003-0858-1770"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiji Song","raw_affiliation_strings":["Department of Automation and BNRist, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation and BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2342,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42396961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"15","issue":null,"first_page":"295","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12321","display_name":"Insect Pheromone Research and Control","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6636412143707275},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5565709471702576},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5228232145309448},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5026757717132568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4694730043411255},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4623146951198578},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4500836730003357},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.43209779262542725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3177648186683655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22998887300491333},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19858044385910034},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.17081254720687866},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15421050786972046},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.10198318958282471}],"concepts":[{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6636412143707275},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5565709471702576},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5228232145309448},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5026757717132568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4694730043411255},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4623146951198578},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4500836730003357},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.43209779262542725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3177648186683655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22998887300491333},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19858044385910034},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.17081254720687866},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15421050786972046},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.10198318958282471},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca51439.2020.9264423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca51439.2020.9264423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Control &amp; Automation (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W7309667","https://openalex.org/W1593770252","https://openalex.org/W1967297182","https://openalex.org/W1972322328","https://openalex.org/W1983235007","https://openalex.org/W2002011878","https://openalex.org/W2030856911","https://openalex.org/W2031528200","https://openalex.org/W2040100938","https://openalex.org/W2104192126","https://openalex.org/W2112411455","https://openalex.org/W2124776405","https://openalex.org/W2142705361","https://openalex.org/W2153344006","https://openalex.org/W2158449659","https://openalex.org/W2169329579","https://openalex.org/W2560411544","https://openalex.org/W2766545131","https://openalex.org/W2898815033","https://openalex.org/W2901505152","https://openalex.org/W2909340263","https://openalex.org/W2920908543","https://openalex.org/W2921695861","https://openalex.org/W2968969284","https://openalex.org/W3204708751","https://openalex.org/W4211247926","https://openalex.org/W6600296990","https://openalex.org/W6635563794","https://openalex.org/W6756016685"],"related_works":["https://openalex.org/W2348909947","https://openalex.org/W4292672442","https://openalex.org/W2362101859","https://openalex.org/W2791431590","https://openalex.org/W2941610985","https://openalex.org/W4235810826","https://openalex.org/W3000105423","https://openalex.org/W2350688482","https://openalex.org/W2122135111","https://openalex.org/W2053575972"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,55,59,65,94,102,110,121,139,142],"source":[4,66],"localization":[5],"problem":[6],"for":[7,97,120],"particulate":[8],"matter":[9],"with":[10,26,86,101],"aerodynamic":[11],"diameter":[12],"2.5":[13],"\u03bcm":[14],"(PM2.5).":[15],"The":[16,71],"PM2.5field":[17,72],"is":[18,51,73,117,130],"influenced":[19],"by":[20],"various":[21],"meteorological":[22],"factors":[23],"and":[24,81,127],"involved":[25],"wide":[27],"geographic":[28],"areas.":[29],"However,":[30],"only":[31,118],"noisy":[32],"concentration":[33],"measurements":[34],"are":[35,135],"available":[36],"from":[37],"a":[38,44,77,124],"limited":[39],"number":[40],"of":[41,61,109,141],"sensors.":[42],"Hence,":[43],"batch":[45,103],"Covariance":[46],"Intersection":[47],"(CI)-based":[48],"Kalman":[49],"smoother":[50,96,116],"proposed":[52,143],"to":[53,76,137],"recover":[54],"PM2.5field,":[56],"such":[57],"that":[58],"position":[60],"maximum":[62],"concentration,":[63],"i.e.,":[64],"position,":[67],"can":[68],"be":[69],"localized.":[70],"first":[74],"transformed":[75],"linear":[78],"large-scale":[79],"system":[80],"partitioned":[82],"into":[83],"multiple":[84],"subsystems":[85],"possibly":[87],"overlapped":[88,111],"state":[89,112],"variables.":[90,113],"Then,":[91],"we":[92],"design":[93],"local":[95],"each":[98,115],"low-dimensional":[99],"subsystem":[100],"CI":[104],"algorithm,":[105],"which":[106],"fuses":[107],"estimates":[108],"Thus,":[114],"responsible":[119],"field":[122],"over":[123],"small":[125],"area,":[126],"computational":[128],"cost":[129],"significantly":[131],"reduced.":[132],"Finally,":[133],"simulations":[134],"included":[136],"validate":[138],"effectiveness":[140],"smoother.":[144]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
