{"id":"https://openalex.org/W2904218886","doi":"https://doi.org/10.23919/spa.2018.8563341","title":"Fuzzy Bayesian Filter for Sound Environment by Considering Additive Property of Energy Variable and Fuzzy Observation in Decibel Scale","display_name":"Fuzzy Bayesian Filter for Sound Environment by Considering Additive Property of Energy Variable and Fuzzy Observation in Decibel Scale","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2904218886","doi":"https://doi.org/10.23919/spa.2018.8563341","mag":"2904218886"},"language":"en","primary_location":{"id":"doi:10.23919/spa.2018.8563341","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa.2018.8563341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","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/A5026691901","display_name":"Akira Ikuta","orcid":"https://orcid.org/0000-0002-5230-3076"},"institutions":[{"id":"https://openalex.org/I122146667","display_name":"Prefectural University of Hiroshima","ror":"https://ror.org/0059h1f24","country_code":"JP","type":"education","lineage":["https://openalex.org/I122146667"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Akira Ikuta","raw_affiliation_strings":["Department of Management Information Systems, Prefectural University of Hiroshima, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Management Information Systems, Prefectural University of Hiroshima, Hiroshima, Japan","institution_ids":["https://openalex.org/I122146667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084292969","display_name":"Hisako Orimoto","orcid":"https://orcid.org/0000-0001-6982-3118"},"institutions":[{"id":"https://openalex.org/I122146667","display_name":"Prefectural University of Hiroshima","ror":"https://ror.org/0059h1f24","country_code":"JP","type":"education","lineage":["https://openalex.org/I122146667"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hisako Orimoto","raw_affiliation_strings":["Department of Management Information Systems, Prefectural University of Hiroshima, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Management Information Systems, Prefectural University of Hiroshima, Hiroshima, Japan","institution_ids":["https://openalex.org/I122146667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026691901"],"corresponding_institution_ids":["https://openalex.org/I122146667"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60748956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"197","last_page":"202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9950000047683716,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9950000047683716,"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/T11622","display_name":"Maritime Navigation and Safety","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decibel","display_name":"Decibel","score":0.7215763330459595},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6060574650764465},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5792785882949829},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.544570803642273},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5364986062049866},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5058503150939941},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5046802759170532},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4964290261268616},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4743943214416504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39884495735168457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3674371838569641},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.357986718416214},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2847696542739868},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08833512663841248}],"concepts":[{"id":"https://openalex.org/C204358264","wikidata":"https://www.wikidata.org/wiki/Q5329","display_name":"Decibel","level":2,"score":0.7215763330459595},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6060574650764465},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5792785882949829},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.544570803642273},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5364986062049866},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5058503150939941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5046802759170532},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4964290261268616},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4743943214416504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39884495735168457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3674371838569641},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.357986718416214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2847696542739868},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08833512663841248},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/spa.2018.8563341","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa.2018.8563341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1542912205","https://openalex.org/W2038190934","https://openalex.org/W2065718139","https://openalex.org/W2087435860","https://openalex.org/W2093952795","https://openalex.org/W2105934661","https://openalex.org/W2107802551","https://openalex.org/W2115844704","https://openalex.org/W2301716730","https://openalex.org/W2804059840"],"related_works":["https://openalex.org/W4246990065","https://openalex.org/W575641463","https://openalex.org/W2319191230","https://openalex.org/W4243614681","https://openalex.org/W4230765260","https://openalex.org/W2047037652","https://openalex.org/W2433167977","https://openalex.org/W1479758521","https://openalex.org/W2042721208","https://openalex.org/W2115919088"],"abstract_inverted_index":{"In":[0,55],"the":[1,13,18,34,43,52,69,73,76,93,97,101,117,121,139,144],"measurement":[2],"and":[3,38,75,104,120,147],"evaluation":[4],"of":[5,78,100,112,143],"actual":[6,140],"random":[7],"signal":[8,45,103],"in":[9,31,51,123],"a":[10,28,58,64,79,109,126],"sound":[11,145],"environment,":[12,146],"observed":[14,70],"data":[15,71],"often":[16,41],"contain":[17],"fuzziness":[19],"due":[20],"to":[21,33,92,138],"several":[22],"causes.":[23],"Furthermore,":[24],"there":[25],"exists":[26],"usually":[27],"background":[29,53,80,105],"noise":[30,81],"addition":[32],"objective":[35],"specific":[36,44,65,102],"signal,":[37,66],"it":[39],"is":[40,49,85,130,136,150],"that":[42],"partly":[46],"or":[47],"completely":[48],"buried":[50],"noise.":[54],"this":[56],"paper,":[57],"fuzzy":[59],"Bayesian":[60],"filter":[61],"for":[62,116],"estimating":[63],"based":[67],"on":[68],"containing":[72],"fuzziness,":[74],"effects":[77],"with":[82],"non-Gaussian":[83],"type":[84,111],"proposed.":[86],"More":[87],"specifically,":[88],"after":[89],"paying":[90],"attention":[91],"energy":[94,118],"variables":[95],"satisfying":[96],"additive":[98],"property":[99],"noise,":[106],"by":[107],"introducing":[108],"new":[110],"membership":[113],"function":[114],"suitable":[115],"variable":[119],"observation":[122],"decibel":[124],"scale,":[125],"state":[127],"estimation":[128,141],"method":[129],"theoretically":[131],"derived.":[132],"The":[133],"proposed":[134],"theory":[135],"applied":[137],"problem":[142],"its":[148],"usefulness":[149],"experimentally":[151],"verified.":[152]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}