{"id":"https://openalex.org/W3170113178","doi":"https://doi.org/10.1109/tim.2021.3089236","title":"Temperature Compensation and Pressure Bias Estimation for Piezoresistive Pressure Sensor Based on Machine Learning Approach","display_name":"Temperature Compensation and Pressure Bias Estimation for Piezoresistive Pressure Sensor Based on Machine Learning Approach","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3170113178","doi":"https://doi.org/10.1109/tim.2021.3089236","mag":"3170113178"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3089236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3089236","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5101545015","display_name":"Yi Ruan","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Ruan","raw_affiliation_strings":["School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6627-9599","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390892","display_name":"Lifen Yuan","orcid":"https://orcid.org/0000-0002-6460-1978"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifen Yuan","raw_affiliation_strings":["School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6460-1978","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103252957","display_name":"Weibo Yuan","orcid":"https://orcid.org/0000-0002-7647-1461"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weibo Yuan","raw_affiliation_strings":["School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-7647-1461","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020019416","display_name":"Yigang He","orcid":"https://orcid.org/0000-0002-6642-0740"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yigang He","raw_affiliation_strings":["School of Electrical Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6642-0740","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045874973","display_name":"L\u00fc Li","orcid":"https://orcid.org/0000-0001-5716-6237"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Lu","raw_affiliation_strings":["School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5716-6237","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101545015"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":2.7227,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.90312708,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9973000288009644,"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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9973000288009644,"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/T10369","display_name":"Advanced MEMS and NEMS Technologies","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T13928","display_name":"Advanced Sensor Technologies Research","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7281838655471802},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5610001683235168},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5119794607162476},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5092746019363403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48711562156677246},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.47013527154922485},{"id":"https://openalex.org/keywords/piezoresistive-effect","display_name":"Piezoresistive effect","score":0.4529515504837036},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4475536644458771},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.44403451681137085},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.418049693107605},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3713926672935486},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3433997929096222},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2995169758796692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2823582887649536},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21565723419189453},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16499584913253784}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7281838655471802},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5610001683235168},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5119794607162476},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5092746019363403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48711562156677246},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.47013527154922485},{"id":"https://openalex.org/C198490522","wikidata":"https://www.wikidata.org/wiki/Q1932915","display_name":"Piezoresistive effect","level":2,"score":0.4529515504837036},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4475536644458771},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.44403451681137085},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.418049693107605},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3713926672935486},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3433997929096222},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2995169758796692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2823582887649536},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21565723419189453},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16499584913253784},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3089236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3089236","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3848853134","display_name":null,"funder_award_id":"51977161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6496176865","display_name":null,"funder_award_id":"51577046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7242511093","display_name":null,"funder_award_id":"51977153","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1971388314","https://openalex.org/W1976607871","https://openalex.org/W1981297098","https://openalex.org/W1984150797","https://openalex.org/W1986830108","https://openalex.org/W1995742180","https://openalex.org/W1996041299","https://openalex.org/W2015789142","https://openalex.org/W2017171804","https://openalex.org/W2028781537","https://openalex.org/W2037231732","https://openalex.org/W2037923542","https://openalex.org/W2038975402","https://openalex.org/W2067782254","https://openalex.org/W2094482372","https://openalex.org/W2115489808","https://openalex.org/W2117090927","https://openalex.org/W2139933372","https://openalex.org/W2160773984","https://openalex.org/W2162220185","https://openalex.org/W2165468259","https://openalex.org/W2512390104","https://openalex.org/W2540955853","https://openalex.org/W2568858846","https://openalex.org/W2594580367","https://openalex.org/W2783420036","https://openalex.org/W2802068593","https://openalex.org/W2807108485","https://openalex.org/W2883732287","https://openalex.org/W2943922892","https://openalex.org/W3000079987","https://openalex.org/W3025397803","https://openalex.org/W3091575862","https://openalex.org/W6751551708","https://openalex.org/W6987673486"],"related_works":["https://openalex.org/W2010005619","https://openalex.org/W2683383161","https://openalex.org/W2066952721","https://openalex.org/W2565312173","https://openalex.org/W2335152656","https://openalex.org/W3147035969","https://openalex.org/W2359936972","https://openalex.org/W2383027800","https://openalex.org/W2206547991","https://openalex.org/W2104936869"],"abstract_inverted_index":{"The":[0,183,217],"requirements":[1],"for":[2,165,240],"accuracy":[3,220],"of":[4,20,29,49,55,91,100,119,129,154,168,191,208,222],"piezoresistive":[5,33],"pressure":[6,34,210],"sensors":[7,35],"in":[8,84,157,198,233],"modern":[9],"society":[10],"are":[11],"becoming":[12],"increasingly":[13],"high.":[14],"Besides,":[15],"a":[16,67,88,97],"wide":[17],"application":[18,43],"range":[19],"sensor":[21,57],"is":[22,82,94,103,112,146,163,236],"required.":[23],"However,":[24],"due":[25],"to":[26,114,133,148,212],"the":[27,47,52,56,63,106,116,127,150,160,166,180,187,195,206,230],"influence":[28],"material":[30],"properties,":[31],"many":[32],"have":[36],"high":[37],"temperature":[38,44,92,101,192,214],"coefficient,":[39],"which":[40],"limits":[41],"their":[42],"range.":[45],"With":[46],"change":[48],"ambient":[50],"temperature,":[51],"response":[53],"characteristic":[54],"has":[58],"strong":[59],"nonlinearity.":[60],"To":[61],"solve":[62],"above-mentioned":[64],"crucial":[65],"problems,":[66],"dynamic":[68,139,161],"chaos":[69,140,169,181],"quantum-behaved":[70,141,173],"particle":[71,142,174],"swarm":[72,143,175,178],"optimization":[73,144,176],"optimized":[74],"multiple":[75],"kernel":[76,124,155],"relevance":[77,108],"vector":[78,109],"machine":[79,110],"(DCQPSO-MKRVM)":[80],"algorithm":[81],"presented":[83],"this":[85,199,234],"article.":[86],"First,":[87],"basic":[89],"theory":[90],"effect":[93],"given":[95],"and":[96,179,194,203,238],"new":[98],"idea":[99],"compensation":[102,215],"proposed.":[104],"Second,":[105],"multi-kernel":[107],"(MKRVM)":[111],"adopted":[113],"estimate":[115,205],"bias":[117,207],"values":[118],"input":[120,209],"pressure.":[121],"Through":[122],"heterogeneous":[123],"learning":[125],"method,":[126],"kernels":[128],"MKRVM":[130],"maintain":[131],"diversity":[132],"obtain":[134],"higher":[135],"estimation":[136,223],"accuracy.":[137],"Third,":[138],"(DCQPSO)":[145],"employed":[147],"optimize":[149],"optimal":[151],"sparse":[152],"weights":[153],"functions":[156],"MKRVM.":[158],"Moreover,":[159],"parameter":[162],"applied":[164],"boundary":[167],"search":[170],"between":[171],"original":[172],"(QPSO)":[177],"swarm.":[182],"experimental":[184],"result":[185],"indicates":[186],"complex":[188],"nonlinear":[189],"relationship":[190],"effect,":[193],"method":[196,231],"proposed":[197,232],"article":[200,235],"can":[201],"effectively":[202],"accurately":[204],"fast":[211],"achieve":[213],"goal.":[216],"mean":[218],"relative":[219],"(MRA)":[221],"results":[224],"achieves":[225],"99.5%.":[226],"It":[227],"proves":[228],"that":[229],"applicable":[237],"effective":[239],"industrial":[241],"applications.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
