{"id":"https://openalex.org/W4200103434","doi":"https://doi.org/10.1145/3487075.3487125","title":"Effective Indoor Fire Detection with Channel Shuffle Module","display_name":"Effective Indoor Fire Detection with Channel Shuffle Module","publication_year":2021,"publication_date":"2021-10-19","ids":{"openalex":"https://openalex.org/W4200103434","doi":"https://doi.org/10.1145/3487075.3487125"},"language":"en","primary_location":{"id":"doi:10.1145/3487075.3487125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3487075.3487125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Computer Science and Application Engineering","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/A5065029565","display_name":"Haotian Ge","orcid":"https://orcid.org/0000-0003-2833-2456"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haotian Ge","raw_affiliation_strings":["School of Automation, Southeast University, China and Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, China and Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090784541","display_name":"Yichao Cao","orcid":"https://orcid.org/0000-0003-2997-4012"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichao Cao","raw_affiliation_strings":["School of Automation, Southeast University, China and Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, China and Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066658319","display_name":"Xiaobo Lu","orcid":"https://orcid.org/0009-0003-3378-7911"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Lu","raw_affiliation_strings":["School of Automation, Southeast University, China and Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, China and Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065029565"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.1674,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51832901,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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":0.7581640481948853},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6881928443908691},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6336376667022705},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.6179997324943542},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6073798537254333},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6048377752304077},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5953611135482788},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5851765871047974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5507043600082397},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5486241579055786},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5125951170921326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42561572790145874},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3594847023487091},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23381346464157104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7581640481948853},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6881928443908691},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6336376667022705},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.6179997324943542},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6073798537254333},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6048377752304077},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5953611135482788},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5851765871047974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5507043600082397},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5486241579055786},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5125951170921326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42561572790145874},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3594847023487091},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23381346464157104},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3487075.3487125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3487075.3487125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Computer Science and Application Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1470343732","display_name":null,"funder_award_id":"No.61871123","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327518","display_name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W2097117768","https://openalex.org/W2190635018","https://openalex.org/W2194775991","https://openalex.org/W2507009361","https://openalex.org/W2770804203","https://openalex.org/W2772114784","https://openalex.org/W2799176631","https://openalex.org/W2883429621","https://openalex.org/W2901751978","https://openalex.org/W2963524571","https://openalex.org/W2963820951","https://openalex.org/W6730903564","https://openalex.org/W6756911974"],"related_works":["https://openalex.org/W4382323155","https://openalex.org/W4315697128","https://openalex.org/W3205506801","https://openalex.org/W2971502891","https://openalex.org/W4287067436","https://openalex.org/W4280599700","https://openalex.org/W3183570023","https://openalex.org/W3102845713","https://openalex.org/W4323650687","https://openalex.org/W3005814217"],"abstract_inverted_index":{"In":[0,46],"recent":[1],"years,":[2],"methods":[3,94],"based":[4,58,95],"on":[5,59,96],"computer":[6],"vision":[7],"and":[8,31,69,75,106,123,145],"deep":[9],"learning":[10],"become":[11],"the":[12,19,39,64,80,109,119,153],"mainstream":[13],"approaches":[14],"in":[15,44,85,129,157],"fire":[16,40],"detection.":[17],"However,":[18],"expensive":[20],"computation":[21,67],"cost":[22,68,92],"of":[23,42,82,102,121,134,155],"3D":[24,97],"convolutional":[25],"neutral":[26],"network":[27],"(CNN)":[28],"is":[29,33,138],"unbearable":[30],"it":[32],"difficult":[34],"for":[35],"them":[36],"to":[37,62],"capture":[38],"regions":[41],"videos":[43],"time.":[45],"this":[47],"paper,":[48],"we":[49,107],"design":[50],"a":[51],"module":[52,56],"named":[53],"channel":[54],"shuffle":[55],"(CSM)":[57],"2D":[60,83],"CNN":[61,84],"keep":[63],"balance":[65],"between":[66],"accuracy.":[70],"By":[71],"fusing":[72],"RGB":[73],"frame":[74],"differential":[76],"frame,":[77],"CSM":[78,103,128,137,156],"improves":[79],"ability":[81],"temporal":[86,158],"information":[87],"extraction":[88],"which":[89,151],"much":[90],"less":[91],"than":[93],"CNN.":[98],"Four":[99],"different":[100],"structures":[101],"are":[104,125],"proposed":[105],"choose":[108],"best":[110],"one":[111],"by":[112],"experiment":[113],"results.":[114],"Also,":[115],"experiments":[116],"prove":[117],"that":[118],"performances":[120],"TSN":[122],"TSM":[124,135],"improved":[126],"with":[127,136],"sequence":[130],"classification.":[131],"The":[132],"accuracy":[133],"99.2045%,":[139],"false":[140,146],"positive":[141],"rate":[142,148],"reaches":[143,149],"0.7890%":[144],"negative":[147],"0.4530%,":[150],"demonstrates":[152],"efficiency":[154],"feature":[159],"modeling.":[160]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
