{"id":"https://openalex.org/W2957872267","doi":"https://doi.org/10.1109/icc.2019.8761625","title":"RFThermometer: A Temperature Estimation System with Commercial UHF RFID Tags","display_name":"RFThermometer: A Temperature Estimation System with Commercial UHF RFID Tags","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2957872267","doi":"https://doi.org/10.1109/icc.2019.8761625","mag":"2957872267"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2019.8761625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","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/A5100369991","display_name":"Xiangyu Wang","orcid":"https://orcid.org/0000-0002-8793-381X"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiangyu Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Auburn University, Auburn, AL"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Auburn University, Auburn, AL","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090730641","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0003-0813-2350"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Auburn University RFID Lab, Auburn, AL"],"affiliations":[{"raw_affiliation_string":"Auburn University RFID Lab, Auburn, AL","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102937658","display_name":"Zhitao Yu","orcid":"https://orcid.org/0000-0003-3877-0273"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhitao Yu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Auburn University, Auburn, AL"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Auburn University, Auburn, AL","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049003312","display_name":"Enkai Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Mao","raw_affiliation_strings":["Auburn University RFID Lab, Auburn, AL"],"affiliations":[{"raw_affiliation_string":"Auburn University RFID Lab, Auburn, AL","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037120618","display_name":"Senthilkumar C. G. Periaswamy","orcid":null},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Senthilkumar C. G. Periaswamy","raw_affiliation_strings":["Auburn University RFID Lab, Auburn, AL"],"affiliations":[{"raw_affiliation_string":"Auburn University RFID Lab, Auburn, AL","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047379975","display_name":"Justin Patton","orcid":null},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin Patton","raw_affiliation_strings":["Auburn University RFID Lab, Auburn, AL"],"affiliations":[{"raw_affiliation_string":"Auburn University RFID Lab, Auburn, AL","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100369991"],"corresponding_institution_ids":["https://openalex.org/I82497590"],"apc_list":null,"apc_paid":null,"fwci":0.9801,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82053334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9994999766349792,"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":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9812999963760376,"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/T11236","display_name":"Control Systems and Identification","score":0.9641000032424927,"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/ultra-high-frequency","display_name":"Ultra high frequency","score":0.830413281917572},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7544590830802917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7117894291877747},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49516454339027405},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.43668538331985474},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.41308310627937317},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3679615557193756},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3609260320663452},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13694632053375244}],"concepts":[{"id":"https://openalex.org/C96122199","wikidata":"https://www.wikidata.org/wiki/Q628096","display_name":"Ultra high frequency","level":2,"score":0.830413281917572},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7544590830802917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7117894291877747},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49516454339027405},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43668538331985474},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.41308310627937317},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3679615557193756},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3609260320663452},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13694632053375244},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2019.8761625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1502922572","https://openalex.org/W1992426838","https://openalex.org/W2001981003","https://openalex.org/W2030927653","https://openalex.org/W2057485255","https://openalex.org/W2080843093","https://openalex.org/W2159263848","https://openalex.org/W2163415666","https://openalex.org/W2164278908","https://openalex.org/W2412278696","https://openalex.org/W2527153419","https://openalex.org/W2587061937","https://openalex.org/W2611328865","https://openalex.org/W2762819682","https://openalex.org/W2903951637","https://openalex.org/W2917618877","https://openalex.org/W3124414826","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2036374021","https://openalex.org/W3090532395","https://openalex.org/W2925227264","https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W2347832052","https://openalex.org/W2370825978","https://openalex.org/W2369450403","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"RFID-based":[0,22],"sensors":[1,23],"have":[2],"attracted":[3],"great":[4],"interest":[5],"due":[6],"to":[7,76,103],"the":[8,30,34,54,63,91,105,109,115],"wide":[9],"employment":[10],"of":[11,15,56,117],"RFID":[12,49,59],"tags,":[13],"ease":[14],"deployment,":[16],"and":[17,32,80],"low":[18],"cost.":[19],"However,":[20],"most":[21],"rely":[24],"on":[25,58],"hardware":[26],"modification,":[27],"which":[28],"increases":[29],"cost":[31],"hampers":[33],"deployment.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,70],"propose":[40,71],"RFThermometer,":[41],"a":[42,72,81],"temperature":[43,57,107],"estimation":[44],"system":[45],"with":[46],"commercial":[47],"UHF":[48],"tags.":[50],"We":[51],"first":[52],"study":[53],"effect":[55],"phase.":[60],"To":[61],"mitigate":[62],"problem":[64],"caused":[65],"by":[66],"missing":[67,78],"phase":[68],"measurements,":[69],"tensor":[73],"completion":[74],"method":[75,100],"restore":[77],"phases":[79],"Gaussian":[82],"Process":[83],"(GP)":[84],"model":[85],"for":[86],"building":[87],"phase-temperature":[88],"maps":[89],"in":[90,108],"offline":[92],"stage.":[93,111],"A":[94],"dynamic":[95],"time":[96],"warping":[97],"based":[98],"greedy":[99],"is":[101],"proposed":[102],"estimate":[104],"unknown":[106],"online":[110],"Experimental":[112],"results":[113],"verify":[114],"performance":[116],"RFThermometer.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}