{"id":"https://openalex.org/W2335627262","doi":"https://doi.org/10.3233/jcm-160607","title":"Judgment model for identifying the type of electric molten mark in fire","display_name":"Judgment model for identifying the type of electric molten mark in fire","publication_year":2016,"publication_date":"2016-03-11","ids":{"openalex":"https://openalex.org/W2335627262","doi":"https://doi.org/10.3233/jcm-160607","mag":"2335627262"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-160607","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-160607","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","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/A5100335797","display_name":"Li Wang","orcid":"https://orcid.org/0000-0001-5273-7387"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Fire Science and Technology, Guangzhou, Guangdong, China","School of Engineering, Sun Yat-Sen University, Guangzhou, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Fire Science and Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I4210098034"]},{"raw_affiliation_string":"School of Engineering, Sun Yat-Sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342723","display_name":"Dong Liang","orcid":"https://orcid.org/0000-0003-4434-8626"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Fire Science and Technology, Guangzhou, Guangdong, China","School of Engineering, Sun Yat-Sen University, Guangzhou, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Fire Science and Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I4210098034"]},{"raw_affiliation_string":"School of Engineering, Sun Yat-Sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084893469","display_name":"Shan-jun Mo","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shanjun Mo","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Fire Science and Technology, Guangzhou, Guangdong, China","School of Engineering, Sun Yat-Sen University, Guangzhou, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Fire Science and Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I4210098034"]},{"raw_affiliation_string":"School of Engineering, Sun Yat-Sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084893469"],"corresponding_institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210098034"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.03806584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":"1","first_page":"125","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11619","display_name":"Combustion and Detonation Processes","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-science","display_name":"Computer science","score":0.5631639957427979},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5560200810432434},{"id":"https://openalex.org/keywords/molten-metal","display_name":"Molten metal","score":0.42361193895339966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34851521253585815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33181309700012207},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.279757022857666},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.17366808652877808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5631639957427979},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5560200810432434},{"id":"https://openalex.org/C2992051167","wikidata":"https://www.wikidata.org/wiki/Q106080","display_name":"Molten metal","level":2,"score":0.42361193895339966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34851521253585815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33181309700012207},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.279757022857666},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.17366808652877808}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jcm-160607","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-160607","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2001706196","https://openalex.org/W2015237510","https://openalex.org/W2115245019","https://openalex.org/W2330315888","https://openalex.org/W2370406539","https://openalex.org/W2376151921"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2090763504","https://openalex.org/W2350741829","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Various":[0],"methods":[1,41,46],"have":[2],"been":[3],"explored":[4],"to":[5,52,160],"differentiate":[6],"these":[7,45,162,165],"electric":[8,61,110],"molten":[9,13,22,62,65,88,93,111,129],"marks":[10,14,23,66,89,94,130],"including":[11],"primary":[12,87],"(PMMs,":[15],"the":[16,28,107,119,132,181,199,202],"cause":[17],"of":[18,35,44,86,98,105,109,121,135,141,146,184],"fires)":[19],"and":[20,42,56,72,76,91,139,155,170],"secondary":[21,92],"(SMMs,":[24],"were":[25,37,67,81,116,127,137,143,148,158,168],"caused":[26],"by":[27,39,172,195],"fires).":[29],"However,":[30],"only":[31],"a":[32,47],"small":[33],"number":[34],"specimens":[36],"tested":[38,194],"related":[40],"none":[43],"re":[48],"reproducible.":[49],"In":[50],"order":[51],"build":[53],"an":[54,176],"objective":[55],"developmental":[57],"method":[58],"for":[59,198],"analyzing":[60],"marks,":[63],"many":[64],"made":[68],"under":[69],"different":[70,173],"current":[71],"heat":[73],"treatment":[74],"temperature":[75],"time.":[77],"And":[78],"some":[79,113],"descriptors":[80],"extracted":[82],"from":[83,131],"metallographic":[84],"images":[85],"(PMMs)":[90],"(SMMs)":[95],"with":[96,118],"help":[97],"digital":[99],"image":[100],"processing":[101],"method.":[102],"For":[103],"purpose":[104],"identifying":[106],"type":[108],"mark,":[112],"judgment":[114,166],"models":[115,167],"established":[117],"aid":[120],"support":[122],"vector":[123],"machine":[124],"(SVM).":[125],"There":[126],"380":[128],"experiment,":[133],"288":[134],"them":[136,142,147],"PMM":[138],"92":[140],"SMM.":[144],"All":[145],"used":[149,159],"in":[150],"training":[151],"model,":[152],"5":[153,156],"PMMs":[154],"SMMs":[157],"test":[161],"models.":[163],"Then,":[164],"selected":[169],"optimized":[171],"methods.":[174],"Thereby,":[175],"optimal":[177],"model":[178,186,192],"was":[179,187,193,204],"found,":[180],"classification":[182],"accuracy":[183,203],"this":[185,191],"above":[188],"66.2%.":[189],"Finally,":[190],"actual":[196],"fire":[197],"forensic":[200],"application,":[201],"100%.":[205]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-22T06:01:30.510260","created_date":"2025-10-10T00:00:00"}