{"id":"https://openalex.org/W2098398891","doi":"https://doi.org/10.1109/icnc.2008.266","title":"Application of a Novel LSSVR Based FLANN Architecture to Dynamic Compensation for Infrared Thermometer Sensor","display_name":"Application of a Novel LSSVR Based FLANN Architecture to Dynamic Compensation for Infrared Thermometer Sensor","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2098398891","doi":"https://doi.org/10.1109/icnc.2008.266","mag":"2098398891"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2008.266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2008.266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 Fourth International Conference on Natural Computation","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/A5079581604","display_name":"Xiaoh Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I134626604","display_name":"Jiujiang University","ror":"https://ror.org/0066vpg85","country_code":"CN","type":"education","lineage":["https://openalex.org/I134626604"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoh Wang","raw_affiliation_strings":["Key Laboratory of Numerical Control of Jiangxi Province, Jiujiang University, Jiujiang, China","Key Lab. of Numerical Control ofJiangxi Province, Jiujiang Univ., Jiujiang"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Numerical Control of Jiangxi Province, Jiujiang University, Jiujiang, China","institution_ids":["https://openalex.org/I134626604"]},{"raw_affiliation_string":"Key Lab. of Numerical Control ofJiangxi Province, Jiujiang Univ., Jiujiang","institution_ids":["https://openalex.org/I134626604"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079581604"],"corresponding_institution_ids":["https://openalex.org/I134626604"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15217627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"441","last_page":"445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13928","display_name":"Advanced Sensor Technologies Research","score":0.9994000196456909,"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/T13928","display_name":"Advanced Sensor Technologies Research","score":0.9994000196456909,"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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9991999864578247,"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/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thermometer","display_name":"Thermometer","score":0.6999907493591309},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.6644982099533081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6034196019172668},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5347399115562439},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4748682677745819},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43622633814811707},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.41364437341690063},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4125056564807892},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.411371111869812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34623146057128906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2064732313156128},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.19029444456100464},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14843443036079407},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0680508017539978}],"concepts":[{"id":"https://openalex.org/C2777155165","wikidata":"https://www.wikidata.org/wiki/Q646","display_name":"Thermometer","level":2,"score":0.6999907493591309},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6644982099533081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6034196019172668},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5347399115562439},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4748682677745819},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43622633814811707},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.41364437341690063},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4125056564807892},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.411371111869812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34623146057128906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2064732313156128},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.19029444456100464},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14843443036079407},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0680508017539978},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2008.266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2008.266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 Fourth International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1975575901","https://openalex.org/W1980668403","https://openalex.org/W2037382408","https://openalex.org/W2114213158","https://openalex.org/W2142011828","https://openalex.org/W2158853341"],"related_works":["https://openalex.org/W2368732888","https://openalex.org/W2364813980","https://openalex.org/W284937103","https://openalex.org/W2006086525","https://openalex.org/W3148451994","https://openalex.org/W2073804415","https://openalex.org/W1565798380","https://openalex.org/W3134046893","https://openalex.org/W2051890993","https://openalex.org/W2484399272"],"abstract_inverted_index":{"A":[0],"novel":[1],"functional":[2],"link":[3],"artificial":[4],"neural":[5],"networks":[6],"(FLANN)":[7],"architecture":[8],"is":[9,99,113,140],"presented":[10],"and":[11,27,85,109,148],"applied":[12],"to":[13,36,43,115,130],"dynamic":[14,97],"compensation":[15],"for":[16],"infrared":[17,94,125],"thermometer":[18,95,126],"sensor.":[19],"Firstly,":[20],"the":[21,45,55,78,93,103,110,117,124,137],"identification":[22],"results":[23,134],"between":[24],"generic":[25,56],"FLANN":[26,46,112,139],"least":[28],"squares":[29],"support":[30],"vector":[31],"regression":[32],"(LSSVR)":[33],"are":[34,48,83,128],"verified":[35],"be":[37,90],"similar.":[38],"Then":[39],"a":[40,65,76,86],"new":[41],"method":[42],"update":[44],"weights":[47],"derived":[49],"from":[50],"LSSVR.":[51],"In":[52],"comparison":[53],"with":[54],"FLANN,":[57],"The":[58,119,132],"improved":[59,111],"one":[60],"differs":[61],"markedly":[62],"in":[63,142,146],"solving":[64],"set":[66],"of":[67,71,105,123],"linear":[68],"equations":[69],"instead":[70],"an":[72],"iterative":[73],"problem.":[74],"As":[75],"result,":[77],"more":[79,149],"accurate":[80],"weight":[81],"evaluations":[82],"obtained,":[84],"faster":[87,141],"learning":[88],"can":[89],"expected.":[91],"Lastly,":[92],"sensor":[96],"compensator":[98],"established":[100],"based":[101],"on":[102],"principle":[104],"inverse":[106],"model":[107],"rectification":[108],"used":[114,129],"describe":[116],"compensator.":[118],"actual":[120],"calibration":[121],"data":[122],"uIRt/c":[127],"test.":[131],"experimental":[133],"show":[135],"that":[136],"improve":[138],"training":[143],"speed,":[144],"higher":[145],"precision":[147],"robustness.":[150]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
