{"id":"https://openalex.org/W4403331663","doi":"https://doi.org/10.23919/fusion59988.2024.10706522","title":"Fault-tolerant Bayesian Decentralized Data Fusion Using Reliability Variables and Mixture Models*","display_name":"Fault-tolerant Bayesian Decentralized Data Fusion Using Reliability Variables and Mixture Models*","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4403331663","doi":"https://doi.org/10.23919/fusion59988.2024.10706522"},"language":"en","primary_location":{"id":"doi:10.23919/fusion59988.2024.10706522","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion59988.2024.10706522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Information Fusion (FUSION)","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/A5107699192","display_name":"Chang\u2010Kyo Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Changkyo Shin","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology,Department of Aerospace Engineering,Daejeon,Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology,Department of Aerospace Engineering,Daejeon,Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049423809","display_name":"Ofer Dagan","orcid":"https://orcid.org/0000-0002-2500-3887"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ofer Dagan","raw_affiliation_strings":["University of Colorado Boulder,Smead Aerospace Engineering Sciences Department,Boulder,USA"],"affiliations":[{"raw_affiliation_string":"University of Colorado Boulder,Smead Aerospace Engineering Sciences Department,Boulder,USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664008","display_name":"Nisar Ahmed","orcid":"https://orcid.org/0000-0002-7555-5671"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nisar Ahmed","raw_affiliation_strings":["University of Colorado Boulder,Smead Aerospace Engineering Sciences Department,Boulder,USA"],"affiliations":[{"raw_affiliation_string":"University of Colorado Boulder,Smead Aerospace Engineering Sciences Department,Boulder,USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049291168","display_name":"Han\u2010Lim Choi","orcid":"https://orcid.org/0000-0003-3985-0419"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Han-Lim Choi","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology,Department of Aerospace Engineering,Daejeon,Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology,Department of Aerospace Engineering,Daejeon,Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107699192"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1560133,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9836000204086304,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9836000204086304,"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/T11719","display_name":"Data Quality and Management","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9592000246047974,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.683790922164917},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6247190833091736},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5835049152374268},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.5419129133224487},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5227011442184448},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5019006729125977},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.49340739846229553},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.48228004574775696},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.46576404571533203},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39833810925483704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26050370931625366},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.23970338702201843},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14478924870491028},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1360951066017151}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.683790922164917},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6247190833091736},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5835049152374268},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.5419129133224487},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5227011442184448},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5019006729125977},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.49340739846229553},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.48228004574775696},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.46576404571533203},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39833810925483704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26050370931625366},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.23970338702201843},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14478924870491028},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1360951066017151},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/fusion59988.2024.10706522","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion59988.2024.10706522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1531532259","https://openalex.org/W1538259731","https://openalex.org/W1590762254","https://openalex.org/W2030935194","https://openalex.org/W2046059763","https://openalex.org/W2095323263","https://openalex.org/W2097009900","https://openalex.org/W2117397690","https://openalex.org/W2125105520","https://openalex.org/W2148234182","https://openalex.org/W2153244858","https://openalex.org/W2169560049","https://openalex.org/W2325883445","https://openalex.org/W2505253431","https://openalex.org/W2551817335","https://openalex.org/W2904900506","https://openalex.org/W2978569040","https://openalex.org/W3121156404","https://openalex.org/W4301347335","https://openalex.org/W4402261148"],"related_works":["https://openalex.org/W2972991241","https://openalex.org/W2099421762","https://openalex.org/W2530546662","https://openalex.org/W2165143308","https://openalex.org/W2967030268","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"In":[0,32,65],"uncertain":[1],"and":[2,18,29,104,114,173],"dynamic":[3,160],"environments,":[4],"decentralized":[5,121],"data":[6,33,62],"fusion":[7,34,48,189],"(DDF)":[8],"techniques":[9],"have":[10],"been":[11],"widely":[12],"used":[13],"to":[14,60,166,192],"estimate":[15],"the":[16,19,45,51,108,125,133,146,170,183],"states":[17,116],"uncertainty":[20],"levels":[21],"over":[22],"large":[23],"mission":[24],"spaces":[25],"in":[26,119],"a":[27,68,120,141,158],"robust":[28,59],"scalable":[30],"way.":[31],"frameworks":[35],"using":[36,73],"distributed":[37],"sensor":[38,41],"networks,":[39],"undetected":[40],"failures":[42],"can":[43],"degrade":[44],"quality":[46],"of":[47,50,81,88,101,127,137,149,169],"results":[49,190],"entire":[52],"system.":[53],"Therefore,":[54],"DDF":[55,71,177,195],"methods":[56],"which":[57,85],"are":[58,63,97,117],"inconsistent":[61],"needed.":[64],"this":[66],"paper,":[67],"fault-tolerant":[69,194],"Bayesian":[70,122],"method":[72,144],"Gaussian":[74,128,138],"mixture":[75,102,129,139,142,150],"models":[76,103],"is":[77,152,164,180],"developed.":[78],"The":[79,111],"probability":[80],"agent":[82],"reliability":[83,115],"states,":[84],"represent":[86],"consistency":[87],"local":[89],"estimates":[90],"that":[91,182],"agents":[92],"share":[93],"with":[94,107,175],"their":[95],"neighbors,":[96],"modeled":[98],"as":[99],"weights":[100,151],"estimated":[105],"together":[106],"target":[109,112,161],"process.":[110],"process":[113],"updated":[118],"way,":[123],"exploiting":[124],"properties":[126],"models.":[130],"To":[131],"prevent":[132],"hypothesis":[134],"explosion":[135],"problem":[136,163],"models,":[140],"compression":[143],"considering":[145],"physical":[147],"meaning":[148],"utilized.":[153],"A":[154],"numerical":[155],"simulation":[156],"on":[157],"2D":[159],"tracking":[162],"presented":[165],"verify":[167],"performance":[168],"suggested":[171,184],"algorithm":[172,185],"compared":[174,191],"existing":[176,193],"methods.":[178],"It":[179],"shown":[181],"gives":[186],"more":[187],"compact":[188],"method.":[196]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
