{"id":"https://openalex.org/W2886510307","doi":"https://doi.org/10.1109/cogsima.2018.8423984","title":"Distributed Detection of Correlated Signal Using Markov Chain Monte Carlo (Poster)","display_name":"Distributed Detection of Correlated Signal Using Markov Chain Monte Carlo (Poster)","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2886510307","doi":"https://doi.org/10.1109/cogsima.2018.8423984","mag":"2886510307"},"language":"en","primary_location":{"id":"doi:10.1109/cogsima.2018.8423984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cogsima.2018.8423984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","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/A5087586931","display_name":"Xingjian Sun","orcid":"https://orcid.org/0000-0002-0408-1034"},"institutions":[{"id":"https://openalex.org/I368840534","display_name":"University of Mississippi","ror":"https://ror.org/02teq1165","country_code":"US","type":"education","lineage":["https://openalex.org/I368840534","https://openalex.org/I4210141039"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingjian Sun","raw_affiliation_strings":["Department of Electrical Engineering, University of Mississippi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Mississippi","institution_ids":["https://openalex.org/I368840534"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070935834","display_name":"Lei Cao","orcid":"https://orcid.org/0000-0002-6995-0122"},"institutions":[{"id":"https://openalex.org/I368840534","display_name":"University of Mississippi","ror":"https://ror.org/02teq1165","country_code":"US","type":"education","lineage":["https://openalex.org/I368840534","https://openalex.org/I4210141039"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Cao","raw_affiliation_strings":["Department of Electrical Engineering, University of Mississippi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Mississippi","institution_ids":["https://openalex.org/I368840534"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039621377","display_name":"R. Viswanathan","orcid":"https://orcid.org/0000-0002-9495-8804"},"institutions":[{"id":"https://openalex.org/I368840534","display_name":"University of Mississippi","ror":"https://ror.org/02teq1165","country_code":"US","type":"education","lineage":["https://openalex.org/I368840534","https://openalex.org/I4210141039"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramanarayanan Viswanathan","raw_affiliation_strings":["Department of Electrical Engineering, University of Mississippi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Mississippi","institution_ids":["https://openalex.org/I368840534"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I368840534"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"160","last_page":"164"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9976000189781189,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9908000230789185,"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/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.7650513648986816},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.6980551481246948},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6820323467254639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6655574440956116},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6608949303627014},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5486043095588684},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.516660213470459},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.49398642778396606},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4924846589565277},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.47869160771369934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2505802512168884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2294745147228241},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16270962357521057},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15678954124450684}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.7650513648986816},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6980551481246948},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6820323467254639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6655574440956116},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6608949303627014},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5486043095588684},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.516660213470459},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.49398642778396606},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4924846589565277},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.47869160771369934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2505802512168884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2294745147228241},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16270962357521057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15678954124450684},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cogsima.2018.8423984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cogsima.2018.8423984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W32980360","https://openalex.org/W1542463277","https://openalex.org/W1989796464","https://openalex.org/W2020498688","https://openalex.org/W2069458187","https://openalex.org/W2116972936","https://openalex.org/W2137873711","https://openalex.org/W2159261106","https://openalex.org/W2160663618","https://openalex.org/W2161237916","https://openalex.org/W2162266217","https://openalex.org/W2166992393","https://openalex.org/W2612720017","https://openalex.org/W2613115089","https://openalex.org/W3037265734"],"related_works":["https://openalex.org/W2151689585","https://openalex.org/W2380816257","https://openalex.org/W3087071515","https://openalex.org/W4283726152","https://openalex.org/W1525770572","https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340"],"abstract_inverted_index":{"The":[0,60],"distributed":[1],"detection":[2],"problem":[3],"with":[4,67],"consideration":[5],"of":[6,26,28,44,48,62,69],"correlated":[7],"sensor":[8,56],"observations":[9],"is":[10,34,65],"an":[11],"NP-hard":[12],"problem.":[13,39],"In":[14],"this":[15,38,63],"paper,":[16],"a":[17],"heuristic":[18],"Markov":[19],"Chain":[20],"Monte":[21],"Carlo":[22],"algorithm,":[23],"which":[24],"consists":[25],"methods":[27],"slice":[29],"sampling":[30],"and":[31,55],"simulated":[32],"annealing,":[33],"investigated":[35],"to":[36],"solve":[37],"Based":[40],"on":[41],"the":[42,46],"criterion":[43],"minimizing":[45],"probability":[47],"error,":[49],"sub-optimal":[50],"solutions":[51],"including":[52],"fusion":[53],"rules":[54],"decisions":[57],"are":[58],"acquired.":[59],"performance":[61],"algorithm":[64],"studied":[66],"analysis":[68],"experimental":[70],"results.":[71]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}