{"id":"https://openalex.org/W3011353962","doi":"https://doi.org/10.1145/3377170.3377267","title":"Gas Leak Segmentation Comparison Using Different Activation Function on Fully Convolutional Network","display_name":"Gas Leak Segmentation Comparison Using Different Activation Function on Fully Convolutional Network","publication_year":2019,"publication_date":"2019-12-20","ids":{"openalex":"https://openalex.org/W3011353962","doi":"https://doi.org/10.1145/3377170.3377267","mag":"3011353962"},"language":"en","primary_location":{"id":"doi:10.1145/3377170.3377267","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377170.3377267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City","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/A5066475222","display_name":"\u041c\u0430\u0440\u0448\u0430\u043b\u043b","orcid":null},"institutions":[{"id":"https://openalex.org/I118722661","display_name":"Kyungsung University","ror":"https://ror.org/05h9pgm95","country_code":"KR","type":"education","lineage":["https://openalex.org/I118722661"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Marshall","raw_affiliation_strings":["University of Kyungsung, Busan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kyungsung, Busan, Republic of Korea","institution_ids":["https://openalex.org/I118722661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050024937","display_name":"Jang\u2010Sik Park","orcid":"https://orcid.org/0000-0003-1794-7631"},"institutions":[{"id":"https://openalex.org/I118722661","display_name":"Kyungsung University","ror":"https://ror.org/05h9pgm95","country_code":"KR","type":"education","lineage":["https://openalex.org/I118722661"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jang-Sik Park","raw_affiliation_strings":["University of Kyungsung, Busan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kyungsung, Busan, Republic of Korea","institution_ids":["https://openalex.org/I118722661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103842051","display_name":"Jong-Kwan Song","orcid":null},"institutions":[{"id":"https://openalex.org/I118722661","display_name":"Kyungsung University","ror":"https://ror.org/05h9pgm95","country_code":"KR","type":"education","lineage":["https://openalex.org/I118722661"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Kwan Song","raw_affiliation_strings":["University of Kyungsung, Busan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kyungsung, Busan, Republic of Korea","institution_ids":["https://openalex.org/I118722661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118722661"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.25561061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"74","issue":null,"first_page":"24","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9959999918937683,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6922191381454468},{"id":"https://openalex.org/keywords/leak","display_name":"Leak","score":0.5590845942497253},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49811530113220215},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4528523087501526},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4032081365585327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39276185631752014},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09811094403266907},{"id":"https://openalex.org/keywords/cell-biology","display_name":"Cell biology","score":0.09309279918670654}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6922191381454468},{"id":"https://openalex.org/C2780378346","wikidata":"https://www.wikidata.org/wiki/Q1349983","display_name":"Leak","level":2,"score":0.5590845942497253},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49811530113220215},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4528523087501526},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4032081365585327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39276185631752014},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09811094403266907},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.09309279918670654},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377170.3377267","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377170.3377267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2165698076","https://openalex.org/W2188001932","https://openalex.org/W2194775991","https://openalex.org/W6637618735"],"related_works":["https://openalex.org/W2338094139","https://openalex.org/W2583782559","https://openalex.org/W2945751699","https://openalex.org/W2607488157","https://openalex.org/W2796199216","https://openalex.org/W2088206529","https://openalex.org/W3116952012","https://openalex.org/W2001055266","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"This":[0,44,86],"paper":[1,87],"explores":[2],"the":[3,11,49,70,91,112,138,153,159,164],"performance":[4,12],"of":[5,13,69,82,93,120,140],"a":[6,18,101,170],"fully":[7,165],"convolutional":[8,166],"network,":[9,167],"specifically":[10],"differing":[14],"activation":[15,161],"functions,":[16],"on":[17,20,145,163],"network":[19,104],"its":[21,128],"ability":[22],"to":[23,89,99,105],"segment":[24],"gas":[25,29,94,109,121,154],"leakage":[26,155],"images":[27,92],"for":[28],"detection.":[30],"Quality":[31],"management":[32],"and":[33,54,61],"safety":[34,71],"control":[35],"is":[36,45,77],"an":[37],"integral":[38],"part":[39],"in":[40,172],"preserving":[41],"workplace":[42,50],"safety.":[43],"especially":[46],"true":[47],"if":[48],"deals":[51],"with":[52,108,152],"hazardous":[53],"dangerous":[55],"materials,":[56],"such":[57,65],"natural-gas":[58],"processing":[59],"plant":[60],"chemical":[62],"plant.":[63],"In":[64],"working":[66],"environment,":[67],"one":[68],"measures":[72],"that":[73],"can":[74],"be":[75],"taken":[76],"by":[78],"having":[79],"early":[80],"detection":[81],"any":[83],"possible":[84],"leak.":[85],"tries":[88],"use":[90],"leak":[95],"from":[96],"thermal":[97,118],"camera":[98,119],"train":[100],"semantic":[102],"segmentation":[103],"classify":[106],"regions":[107],"leakage.":[110],"Since":[111],"dataset":[113],"requires":[114],"videos":[115],"recorded":[116],"using":[117],"leakage,":[122],"collecting":[123],"real":[124],"life":[125],"data":[126],"has":[127],"own":[129],"barriers":[130],"(safety":[131],"reason,":[132],"availability,":[133],"etc.).":[134],"To":[135],"help":[136],"supplement":[137],"lack":[139],"available":[141],"data,":[142],"transfer":[143],"learning":[144],"smoke":[146],"video":[147],"which":[148],"share":[149],"similar":[150],"characteristics":[151],"video.":[156],"By":[157],"changing":[158],"last":[160],"function":[162],"we":[168],"observed":[169],"difference":[171],"their":[173],"performance.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}