{"id":"https://openalex.org/W4286305972","doi":"https://doi.org/10.23919/ascc56756.2022.9828213","title":"Bayes-optimal Solution for Environmental Prediction Using Human Sensitivity","display_name":"Bayes-optimal Solution for Environmental Prediction Using Human Sensitivity","publication_year":2022,"publication_date":"2022-05-04","ids":{"openalex":"https://openalex.org/W4286305972","doi":"https://doi.org/10.23919/ascc56756.2022.9828213"},"language":"en","primary_location":{"id":"doi:10.23919/ascc56756.2022.9828213","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828213","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th Asian Control Conference (ASCC)","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/A5061106926","display_name":"Y\u00f4hei Saika","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154076","display_name":"National Institute of Technology, Gunma College","ror":"https://ror.org/04kp2z675","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210120810","https://openalex.org/I4210154076"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yohei Saika","raw_affiliation_strings":["National Institute of Technology, Gunma College,Department of Information and Computer Engineering,Maebashi,Japan","Department of Information and Computer Engineering, National Institute of Technology, Gunma College, Maebashi, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Gunma College,Department of Information and Computer Engineering,Maebashi,Japan","institution_ids":["https://openalex.org/I4210154076"]},{"raw_affiliation_string":"Department of Information and Computer Engineering, National Institute of Technology, Gunma College, Maebashi, Japan","institution_ids":["https://openalex.org/I4210154076"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050909216","display_name":"Masahiro Nakagawa","orcid":"https://orcid.org/0000-0002-6420-2555"},"institutions":[{"id":"https://openalex.org/I85922643","display_name":"Nagaoka University of Technology","ror":"https://ror.org/00ys1hz88","country_code":"JP","type":"education","lineage":["https://openalex.org/I85922643"]},{"id":"https://openalex.org/I119806805","display_name":"Nagaoka University","ror":"https://ror.org/02rcadd38","country_code":"JP","type":"education","lineage":["https://openalex.org/I119806805"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Nakagawa","raw_affiliation_strings":["Nagaoka University of Technology,Department of Advanced Technology Innovation,Nagaoka,Japan","Department of Advanced Technology Innovation, Nagaoka University of Technology, Nagaoka, Japan"],"affiliations":[{"raw_affiliation_string":"Nagaoka University of Technology,Department of Advanced Technology Innovation,Nagaoka,Japan","institution_ids":["https://openalex.org/I119806805","https://openalex.org/I85922643"]},{"raw_affiliation_string":"Department of Advanced Technology Innovation, Nagaoka University of Technology, Nagaoka, Japan","institution_ids":["https://openalex.org/I85922643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061106926"],"corresponding_institution_ids":["https://openalex.org/I4210154076"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.26362853,"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":"895","last_page":"900"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9951000213623047,"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/T10320","display_name":"Neural Networks and Applications","score":0.9951000213623047,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9944000244140625,"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/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6741788983345032},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6008255481719971},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.572051465511322},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45515745878219604},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.44734522700309753},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4410814046859741},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4323304295539856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41089293360710144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4031190872192383},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3641948103904724},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35167455673217773},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3514256179332733},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.332681268453598},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2405058741569519},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19126659631729126},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.08082059025764465}],"concepts":[{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6741788983345032},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6008255481719971},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.572051465511322},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45515745878219604},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.44734522700309753},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4410814046859741},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4323304295539856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41089293360710144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4031190872192383},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3641948103904724},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35167455673217773},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3514256179332733},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.332681268453598},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2405058741569519},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19126659631729126},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.08082059025764465},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ascc56756.2022.9828213","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828213","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th Asian Control Conference (ASCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322915","display_name":"Nagaoka University of Technology","ror":"https://ror.org/00ys1hz88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W598555076","https://openalex.org/W1527520754","https://openalex.org/W1547816654","https://openalex.org/W1590183771","https://openalex.org/W1965391522","https://openalex.org/W1983624953","https://openalex.org/W2002586113","https://openalex.org/W2004084480","https://openalex.org/W2013434456","https://openalex.org/W2030405774","https://openalex.org/W2071032378","https://openalex.org/W2090909510","https://openalex.org/W2145802686","https://openalex.org/W2157370613","https://openalex.org/W2166350910","https://openalex.org/W2490662969","https://openalex.org/W2774516824","https://openalex.org/W2908680236","https://openalex.org/W2946618004","https://openalex.org/W3011752280","https://openalex.org/W3098683093","https://openalex.org/W3117700367","https://openalex.org/W4200578232","https://openalex.org/W4248681815","https://openalex.org/W6757414479"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W2010643158","https://openalex.org/W3049691116","https://openalex.org/W2106867672","https://openalex.org/W4286981651","https://openalex.org/W4310268968","https://openalex.org/W3081214562","https://openalex.org/W2053745677"],"abstract_inverted_index":{"From":[0],"the":[1,9,59,68,75,80,83,96,103,110,114,126,130,138],"theoretical":[2],"viewpoint":[3],"of":[4,18,82,137],"statistical":[5,56],"physics,":[6],"we":[7,107],"investigate":[8],"dynamical":[10,43],"properties":[11],"for":[12,22],"predicting":[13],"environment":[14],"utilizing":[15],"human":[16],"sensitivity":[17],"a":[19,23,38,42,52,100,118,122],"sensor":[20],"network":[21],"small-scale":[24],"system":[25],"with":[26,47,50,58],"an":[27],"air":[28],"conditioner.":[29],"We":[30,65],"analyse":[31],"how":[32],"environmental":[33],"variables":[34,98],"evolve":[35],"in":[36,45],"such":[37],"small":[39],"room":[40],"by":[41,117],"procedure":[44],"accordance":[46],"Bayesian":[48],"inference":[49],"expected":[51],"posterior":[53],"estimation":[54],"and":[55,62,86,90],"physics":[57],"Master":[60],"equation":[61],"mean-field":[63],"theory.":[64],"clarify":[66],"that":[67,87,109,124,136],"temperature-humidity":[69,104],"index":[70],"(THI)":[71],"smoothly":[72],"approaches":[73],"to":[74,79,95],"optimum":[76,115,127],"value":[77,116],"due":[78],"use":[81],"Bayes-optimal":[84,139],"solution":[85],"both":[88],"temperature":[89],"relative":[91],"humidity":[92],"is":[93,133],"close":[94],"original":[97],"along":[99],"curve":[101],"on":[102],"plane.":[105],"Then,":[106],"discover":[108],"THI":[111],"also":[112],"approximates":[113],"method":[119],"without":[120],"using":[121],"term":[123],"improves":[125],"THI,":[128],"although":[129],"convergence":[131],"time":[132],"longer":[134],"than":[135],"solution.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}