{"id":"https://openalex.org/W2936108195","doi":"https://doi.org/10.1109/fskd.2018.8687119","title":"A method for identifying ethylene gas leakage based on multi-feature joint detection and risk analysis","display_name":"A method for identifying ethylene gas leakage based on multi-feature joint detection and risk analysis","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2936108195","doi":"https://doi.org/10.1109/fskd.2018.8687119","mag":"2936108195"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2018.8687119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2018.8687119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5055487387","display_name":"Junshan Li","orcid":"https://orcid.org/0000-0002-1482-1972"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]},{"id":"https://openalex.org/I201459984","display_name":"Guangdong University Of Finances and Economics","ror":"https://ror.org/0459pv085","country_code":"CN","type":"education","lineage":["https://openalex.org/I201459984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junshan Li","raw_affiliation_strings":["The institute of information science & technology South China Business, College Guangdong University of Foreign Studies, Guangzhou, China","The institute of information science & technology South China Business, College Guangdong University of Foreign Studies, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The institute of information science & technology South China Business, College Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606","https://openalex.org/I201459984"]},{"raw_affiliation_string":"The institute of information science & technology South China Business, College Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017694287","display_name":"Jianjun Li","orcid":"https://orcid.org/0000-0001-6658-9709"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]},{"id":"https://openalex.org/I201459984","display_name":"Guangdong University Of Finances and Economics","ror":"https://ror.org/0459pv085","country_code":"CN","type":"education","lineage":["https://openalex.org/I201459984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Li","raw_affiliation_strings":["The institute of information science & technology South China Business, College Guangdong University of Foreign Studies, Guangzhou, China","The institute of information science & technology South China Business, College Guangdong University of Foreign Studies, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The institute of information science & technology South China Business, College Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606","https://openalex.org/I201459984"]},{"raw_affiliation_string":"The institute of information science & technology South China Business, College Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100356289","display_name":"Jianping Wang","orcid":"https://orcid.org/0000-0002-8159-1054"},"institutions":[{"id":"https://openalex.org/I4210101382","display_name":"People's Liberation Army No. 150 Hospital","ror":"https://ror.org/014nsap67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210101382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Wang","raw_affiliation_strings":["96715 Unit of People's Liberation Army, Meizhou, China","96715 Unit of People's Liberation Army, Meizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"96715 Unit of People's Liberation Army, Meizhou, China","institution_ids":["https://openalex.org/I4210101382"]},{"raw_affiliation_string":"96715 Unit of People's Liberation Army, Meizhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"349","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9897000193595886,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9897000193595886,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.98580002784729,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9843999743461609,"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/leakage","display_name":"Leakage (economics)","score":0.692302405834198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5234781503677368},{"id":"https://openalex.org/keywords/leak-detection","display_name":"Leak detection","score":0.5020458698272705},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4736703038215637},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4458749294281006},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42536067962646484},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.41648373007774353},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39639967679977417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3436740040779114},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.20658469200134277},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14633485674858093},{"id":"https://openalex.org/keywords/environmental-engineering","display_name":"Environmental engineering","score":0.07314074039459229}],"concepts":[{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.692302405834198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5234781503677368},{"id":"https://openalex.org/C2987355568","wikidata":"https://www.wikidata.org/wiki/Q4420957","display_name":"Leak detection","level":3,"score":0.5020458698272705},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4736703038215637},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4458749294281006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42536067962646484},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.41648373007774353},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39639967679977417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3436740040779114},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.20658469200134277},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14633485674858093},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.07314074039459229},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2780378346","wikidata":"https://www.wikidata.org/wiki/Q1349983","display_name":"Leak","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2018.8687119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2018.8687119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5299999713897705,"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/W2011436432","https://openalex.org/W2068193976","https://openalex.org/W2101309634","https://openalex.org/W2320230300","https://openalex.org/W2397444248","https://openalex.org/W2430196102","https://openalex.org/W2587649600","https://openalex.org/W2610241640"],"related_works":["https://openalex.org/W1996130883","https://openalex.org/W2748574964","https://openalex.org/W2363594569","https://openalex.org/W2888483922","https://openalex.org/W4396737233","https://openalex.org/W2352249079","https://openalex.org/W2350612644","https://openalex.org/W2382523467","https://openalex.org/W2360356915","https://openalex.org/W2319335190"],"abstract_inverted_index":{"In":[0],"view":[1],"of":[2,8,15,47,54,60,73,88,162,168,189,215,239],"the":[3,6,12,65,74,102,111,115,160,186,190,195,201,213,216,225,237,250],"fact":[4],"that":[5,224],"leakage":[7,35,86,91,191,228],"ethylene":[9,33,38,61,84,89,142,226],"gas":[10,34,39,62,85,90,143,169,227],"in":[11,110,165,233],"production":[13],"process":[14],"petrochemical":[16],"enterprises":[17],"can":[18,248],"easily":[19],"cause":[20],"major":[21],"safety":[22],"accidents,":[23],"infrared":[24,49],"video":[25,50,112],"real-time":[26,43,241,251],"imaging":[27],"is":[28,40,83,138,218],"used":[29],"to":[30,68,79],"monitor":[31],"possible":[32],"points,":[36],"and":[37,45,77,106,114,121,146,158,176,198,203,212,230,243],"achieved":[41],"through":[42,185],"processing":[44],"analysis":[46,72],"acquired":[48],"images.":[51],"Real-time":[52],"detection":[53,59,145,153,229],"leakage,":[55,63,170],"a":[56,97,124,134],"multi-feature":[57,151],"joint":[58,152],"using":[64],"loss":[66,196],"function":[67,100,197],"carry":[69],"out":[70],"risk":[71,199],"test":[75],"results,":[76],"ultimately":[78],"determine":[80],"whether":[81],"there":[82],"determination":[87,188],"identification":[92,147,231],"method.":[93],"Firstly,":[94],"by":[95,122,156],"establishing":[96],"global":[98],"energy":[99,173],"model,":[101],"interrelationships":[103],"between":[104],"intra-frame":[105],"inter-frame":[107],"neighboring":[108],"pixels":[109],"sequence":[113],"spatial":[116],"domain":[117,172],"information":[118],"are":[119,206],"used,":[120],"adding":[123],"neighborhood":[125],"constraint,":[126],"an":[127,141],"integrated":[128],"spatio-temporal":[129],"consistency":[130],"feature":[131],"set,":[132],"etc.,":[133],"leak":[135,144],"suspecting":[136],"segmentation":[137],"achieved.":[139],"Then,":[140],"method":[148,232],"based":[149,193],"on":[150,194],"was":[154],"proposed":[155],"analyzing":[157],"detecting":[159],"characteristics":[161,238],"area":[163],"variation":[164,174],"suspected":[166],"areas":[167],"wavelet":[171],"characteristics,":[175],"transient":[177],"gray":[178],"value":[179],"\u201cnine-square":[180],"grid\u201d":[181],"distribution":[182],"characteristics.":[183],"Finally,":[184],"further":[187],"state":[192],"analysis,":[200],"misjudgment":[202],"missed-judgement":[204],"conditions":[205],"eliminated":[207],"as":[208,210],"much":[209],"possible,":[211],"accuracy":[214],"recognition":[217,245],"improved.":[219],"The":[220],"experimental":[221],"results":[222],"show":[223],"this":[234],"paper":[235],"has":[236],"good":[240],"performance":[242],"high":[244],"rate,":[246],"which":[247],"meet":[249],"warning":[252],"requirements.":[253]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}