{"id":"https://openalex.org/W4200578232","doi":"https://doi.org/10.1109/gcce53005.2021.9621919","title":"Dynamical Properties of Environmental Prediction Using Human Sensitivity","display_name":"Dynamical Properties of Environmental Prediction Using Human Sensitivity","publication_year":2021,"publication_date":"2021-10-12","ids":{"openalex":"https://openalex.org/W4200578232","doi":"https://doi.org/10.1109/gcce53005.2021.9621919"},"language":"en","primary_location":{"id":"doi:10.1109/gcce53005.2021.9621919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce53005.2021.9621919","pdf_url":null,"source":{"id":"https://openalex.org/S4363607807","display_name":"2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)","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":"2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)","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":false,"raw_author_name":"Yohei Saika","raw_affiliation_strings":["Gunma College, National Institute of Technology, Maebashi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gunma College, National Institute of Technology, Maebashi, Japan","institution_ids":["https://openalex.org/I4210154076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101880156","display_name":"Yuichi Nakamura","orcid":"https://orcid.org/0000-0003-3710-0534"},"institutions":[{"id":"https://openalex.org/I4210092186","display_name":"Anan National College of Technology","ror":"https://ror.org/01bb68v37","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210092186"]},{"id":"https://openalex.org/I4210120810","display_name":"National Institute of Technology","ror":"https://ror.org/02xqkcw08","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210120810"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichi Nakamura","raw_affiliation_strings":["Anan College, National Institute of Technology, Anan, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anan College, National Institute of Technology, Anan, Japan","institution_ids":["https://openalex.org/I4210092186","https://openalex.org/I4210120810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072844508","display_name":"Tomoyasu Ichimura","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":false,"raw_author_name":"Tomoyasu Ichimura","raw_affiliation_strings":["Gunma College, National Institute of Technology, Maebashi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gunma College, National Institute of Technology, 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/I119806805","display_name":"Nagaoka University","ror":"https://ror.org/02rcadd38","country_code":"JP","type":"education","lineage":["https://openalex.org/I119806805"]},{"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"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Nakagawa","raw_affiliation_strings":["Innovation Nagaoka University of Technology, Nagaoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation Nagaoka University of Technology, Nagaoka, Japan","institution_ids":["https://openalex.org/I119806805","https://openalex.org/I85922643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1268,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38909427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"681","last_page":"682"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9866999983787537,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9866999983787537,"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/T10320","display_name":"Neural Networks and Applications","score":0.9726999998092651,"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/T13126","display_name":"Scientific Research and Discoveries","score":0.9714000225067139,"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/sensitivity","display_name":"Sensitivity (control systems)","score":0.7673135995864868},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.7100382447242737},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6611590385437012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5397111177444458},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45180854201316833},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43473803997039795},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3721134066581726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3516797721385956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34295159578323364},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2826639413833618},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18427428603172302},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.14974835515022278},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1422904133796692},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.12010568380355835}],"concepts":[{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.7673135995864868},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.7100382447242737},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6611590385437012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5397111177444458},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45180854201316833},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43473803997039795},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3721134066581726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3516797721385956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34295159578323364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2826639413833618},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18427428603172302},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.14974835515022278},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1422904133796692},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.12010568380355835},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce53005.2021.9621919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce53005.2021.9621919","pdf_url":null,"source":{"id":"https://openalex.org/S4363607807","display_name":"2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)","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":"2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2071032378","https://openalex.org/W2326812357","https://openalex.org/W2908680236","https://openalex.org/W2946618004","https://openalex.org/W3098683093","https://openalex.org/W3117700367","https://openalex.org/W4248681815","https://openalex.org/W6701116532","https://openalex.org/W6784951022"],"related_works":["https://openalex.org/W2378757965","https://openalex.org/W4224903346","https://openalex.org/W1593262897","https://openalex.org/W2372869593","https://openalex.org/W2384194537","https://openalex.org/W2031011156","https://openalex.org/W2368745429","https://openalex.org/W3171126029","https://openalex.org/W2369984616","https://openalex.org/W2582753012"],"abstract_inverted_index":{"By":[0],"making":[1],"use":[2],"both":[3],"of":[4,18],"the":[5,11,39,48,69],"self-consistent":[6],"field":[7],"theory":[8],"(SCFT)":[9],"and":[10,61],"Master":[12],"equation,":[13],"we":[14,52],"investigate":[15],"dynamic":[16],"property":[17],"a":[19,29],"sensor":[20],"network":[21],"for":[22],"environmental":[23],"prediction":[24],"via":[25],"human":[26],"sensitivity":[27],"in":[28],"small-scale":[30],"area":[31],"with":[32],"an":[33,57],"air":[34],"conditioner.":[35],"We":[36],"find":[37],"that":[38,51],"present":[40],"method":[41],"smoothly":[42],"infers":[43],"comfortable":[44],"surroundings":[45],"accurately":[46],"around":[47],"Bayes-optimal":[49],"condition":[50],"have":[53],"perfect":[54],"knowledges":[55],"on":[56],"assumed":[58],"true":[59],"prior":[60],"transition":[62],"probability":[63],"from":[64],"each":[65],"original":[66],"surrounding":[67],"to":[68],"observed":[70],"one.":[71]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}