{"id":"https://openalex.org/W1998444421","doi":"https://doi.org/10.1109/i2mtc.2013.6555713","title":"Quantitative measurement of gas component using multisensor array and NPSO-based LS-SVR","display_name":"Quantitative measurement of gas component using multisensor array and NPSO-based LS-SVR","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1998444421","doi":"https://doi.org/10.1109/i2mtc.2013.6555713","mag":"1998444421"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2013.6555713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2013.6555713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5064763051","display_name":"Kai Song","orcid":"https://orcid.org/0000-0003-4330-6985"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Song","raw_affiliation_strings":["Department of Automatic Testing and Control, Harbin Institute of Technology, Harbin, China","Dept. of Autom. Testing & Control, Harbin Inst. of Technol., Harbin, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Testing and Control, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Dept. of Autom. Testing & Control, Harbin Inst. of Technol., Harbin, China#TAB#","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341344","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0002-8991-281X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["Department of Automatic Testing and Control, Harbin Institute of Technology, Harbin, China","Dept. of Autom. Testing & Control, Harbin Inst. of Technol., Harbin, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Testing and Control, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Dept. of Autom. Testing & Control, Harbin Inst. of Technol., Harbin, China#TAB#","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025421724","display_name":"Jianfeng Li","orcid":"https://orcid.org/0000-0002-6893-9028"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Li","raw_affiliation_strings":["Department of Automatic Testing and Control, Harbin Institute of Technology, Harbin, China","Dept. of Autom. Testing & Control, Harbin Inst. of Technol., Harbin, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Testing and Control, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Dept. of Autom. Testing & Control, Harbin Inst. of Technol., Harbin, China#TAB#","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100707238","display_name":"Hongquan Zhang","orcid":"https://orcid.org/0000-0002-2965-7060"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongquan Zhang","raw_affiliation_strings":["No. 49 Institute, China Electronics Technology Group Corporation, Harbin, China","No. 49 Inst., China Electron. Technol. Group Corp., Harbin, China"],"affiliations":[{"raw_affiliation_string":"No. 49 Institute, China Electronics Technology Group Corporation, Harbin, China","institution_ids":["https://openalex.org/I2800372957"]},{"raw_affiliation_string":"No. 49 Inst., China Electron. Technol. Group Corp., Harbin, China","institution_ids":["https://openalex.org/I2800372957"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064763051"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.3997,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6322102,"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":"1740","last_page":"1743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":1.0,"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"}},{"id":"https://openalex.org/T10461","display_name":"Gas Sensing Nanomaterials and Sensors","score":0.9972000122070312,"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/T12321","display_name":"Insect Pheromone Research and Control","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7533642053604126},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6937967538833618},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6422401070594788},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6215494275093079},{"id":"https://openalex.org/keywords/methane","display_name":"Methane","score":0.5829495191574097},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5400240421295166},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.5184892416000366},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.501706600189209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4277774393558502},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34003156423568726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28137820959091187},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.22925016283988953},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21489620208740234},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20898574590682983},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.19764235615730286},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1552554965019226}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7533642053604126},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6937967538833618},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6422401070594788},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6215494275093079},{"id":"https://openalex.org/C516920438","wikidata":"https://www.wikidata.org/wiki/Q37129","display_name":"Methane","level":2,"score":0.5829495191574097},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5400240421295166},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.5184892416000366},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.501706600189209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4277774393558502},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34003156423568726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28137820959091187},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.22925016283988953},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21489620208740234},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20898574590682983},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.19764235615730286},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1552554965019226},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2013.6555713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2013.6555713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1983405223","https://openalex.org/W1985070926","https://openalex.org/W2051760915","https://openalex.org/W2063872198","https://openalex.org/W2119443017","https://openalex.org/W2129972640","https://openalex.org/W6663281407","https://openalex.org/W6679248398"],"related_works":["https://openalex.org/W2320243538","https://openalex.org/W2094288906","https://openalex.org/W1965175117","https://openalex.org/W4385063203","https://openalex.org/W4378716885","https://openalex.org/W2329184717","https://openalex.org/W2364728108","https://openalex.org/W2090763504","https://openalex.org/W1981223975","https://openalex.org/W2368003027"],"abstract_inverted_index":{"To":[0],"solve":[1],"the":[2,12,51,77,86,94,123,128,160],"nonlinear":[3],"response":[4],"of":[5,59,69,81,91,127,132,151,163],"semiconductor":[6,63],"gas":[7,18,29,65,83,105,134,164],"sensor":[8,19],"and":[9,21,45,93,154],"cross-sensitivity":[10],"to":[11,75],"non-target":[13],"gases,":[14],"this":[15,107,146],"paper":[16,108],"studies":[17],"array":[20,56],"least":[22],"square":[23],"support":[24],"vector":[25],"regression":[26],"(LS-SVR)":[27],"based":[28,116],"concentration":[30,152],"measurement":[31],"method.":[32],"Methane":[33],"(CH":[34],"<sub":[35,41],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[36,42],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">4</sub>":[37],"),":[38],"hydrogen":[39],"(H":[40],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[43],")":[44],"their":[46],"mixtures":[47],"are":[48],"selected":[49],"as":[50,141],"target":[52],"gases.":[53],"A":[54],"multi-sensor":[55],"is":[57,73,156],"composed":[58],"four":[60],"metal":[61],"oxide":[62],"(MOS)":[64],"sensors":[66],"with":[67,137],"properties":[68],"different":[70],"sensitivity.":[71],"LS-SVR":[72,92,130],"used":[74],"establish":[76],"quantitative":[78,161],"analysis":[79],"model":[80,131],"each":[82,104,133],"component.":[84,135],"Given":[85],"difficulty":[87],"in":[88,98],"selecting":[89],"parameters":[90,126],"high":[95],"computational":[96],"complex":[97],"using":[99],"cross-validation":[100],"when":[101],"modeling":[102],"on":[103],"component,":[106],"proposes":[109],"a":[110],"niche":[111],"particle":[112],"swarm":[113],"optimization":[114,118],"(NPSO)":[115],"parameter":[117],"algorithm":[119],"which":[120],"can":[121],"find":[122],"global":[124],"optimal":[125],"established":[129],"Compared":[136],"other":[138],"methods":[139],"such":[140],"artificial":[142],"neural":[143],"networks":[144],"(ANNs),":[145],"proposed":[147],"method":[148],"improves":[149],"precision":[150],"measurement,":[153],"it":[155],"particularly":[157],"adequate":[158],"for":[159],"detection":[162],"concentrations":[165],"within":[166],"small":[167],"training":[168],"samples.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}