{"id":"https://openalex.org/W2933776528","doi":"https://doi.org/10.1109/access.2019.2906695","title":"A Slight Smoke Perceptual Network","display_name":"A Slight Smoke Perceptual Network","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2933776528","doi":"https://doi.org/10.1109/access.2019.2906695","mag":"2933776528"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2906695","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2906695","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08678768.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08678768.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101551125","display_name":"Sheng Luo","orcid":"https://orcid.org/0000-0002-7088-5460"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Luo","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7088-5460","affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699785","display_name":"Xiaoqin Zhang","orcid":"https://orcid.org/0000-0003-0958-7285"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]},{"id":"https://openalex.org/I4210166719","display_name":"WengFu Group (China)","ror":"https://ror.org/05nqkcp91","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210166719"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqin Zhang","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China","Wenzhou Mingcheng Construction Investment Group Co., Ltd., Wenzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]},{"raw_affiliation_string":"Wenzhou Mingcheng Construction Investment Group Co., Ltd., Wenzhou, China","institution_ids":["https://openalex.org/I4210166719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090461605","display_name":"Muchou Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muchou Wang","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079659239","display_name":"Jinghua Xu","orcid":"https://orcid.org/0000-0002-1393-5388"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing-Hua Xu","raw_affiliation_strings":["State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100368873","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0002-6002-1503"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]},{"id":"https://openalex.org/I4210166719","display_name":"WengFu Group (China)","ror":"https://ror.org/05nqkcp91","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210166719"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China","Wenzhou Mingcheng Construction Investment Group Co., Ltd., Wenzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]},{"raw_affiliation_string":"Wenzhou Mingcheng Construction Investment Group Co., Ltd., Wenzhou, China","institution_ids":["https://openalex.org/I4210166719"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0903,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76095081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"42889","last_page":"42896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":1.0,"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":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9972000122070312,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9843999743461609,"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":0.776108980178833},{"id":"https://openalex.org/keywords/chrominance","display_name":"Chrominance","score":0.6955460906028748},{"id":"https://openalex.org/keywords/smoke","display_name":"Smoke","score":0.6843620538711548},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6256409287452698},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.5590189695358276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5171148777008057},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4168856739997864},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4118073880672455},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3663760721683502},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3205753266811371},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.2890249490737915},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1336284577846527},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09762343764305115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.776108980178833},{"id":"https://openalex.org/C163204269","wikidata":"https://www.wikidata.org/wiki/Q355263","display_name":"Chrominance","level":3,"score":0.6955460906028748},{"id":"https://openalex.org/C58874564","wikidata":"https://www.wikidata.org/wiki/Q130768","display_name":"Smoke","level":2,"score":0.6843620538711548},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6256409287452698},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.5590189695358276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5171148777008057},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4168856739997864},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4118073880672455},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3663760721683502},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3205753266811371},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.2890249490737915},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1336284577846527},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09762343764305115},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2906695","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2906695","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08678768.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f52cf0da28914d80a6a03bd1c1842e10","is_oa":true,"landing_page_url":"https://doaj.org/article/f52cf0da28914d80a6a03bd1c1842e10","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 42889-42896 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2906695","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2906695","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08678768.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2736350855","display_name":null,"funder_award_id":"51375012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4082046573","display_name":null,"funder_award_id":"ZG2017016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6319897270","display_name":null,"funder_award_id":"G20150017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G947427576","display_name":null,"funder_award_id":"51521064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2933776528.pdf","grobid_xml":"https://content.openalex.org/works/W2933776528.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W568396791","https://openalex.org/W647891931","https://openalex.org/W1522734439","https://openalex.org/W2139916508","https://openalex.org/W2163605009","https://openalex.org/W2571300184","https://openalex.org/W2572703977","https://openalex.org/W2614024545","https://openalex.org/W2751420734","https://openalex.org/W2790037986","https://openalex.org/W2792318059","https://openalex.org/W3017489367","https://openalex.org/W6684191040","https://openalex.org/W6732065886"],"related_works":["https://openalex.org/W2060724872","https://openalex.org/W1799575154","https://openalex.org/W2005759937","https://openalex.org/W2225603070","https://openalex.org/W2082094785","https://openalex.org/W2202198356","https://openalex.org/W2034025452","https://openalex.org/W2141614661","https://openalex.org/W3204377033","https://openalex.org/W3087203342"],"abstract_inverted_index":{"Detecting":[0],"smoke":[1,13,28,41,166],"from":[2],"visual":[3],"sensors":[4],"is":[5,14,131,170],"crucial":[6],"for":[7],"fire":[8],"warnings.":[9],"However,":[10],"visually":[11],"detecting":[12],"still":[15],"challenging":[16],"because":[17],"the":[18,46,59,64,76,82,87,101,106,118,123,145,148,154,158,164,190,197,201],"chrominance,":[19],"shape,":[20],"transparency,":[21],"texture,":[22],"motion,":[23],"and":[24,62,99,117,125,136,189,195,200],"so":[25],"on,":[26],"of":[27],"vary":[29],"over":[30],"a":[31,141,177],"wide":[32],"range.":[33],"A":[34],"deep":[35],"neural":[36],"network":[37,88,159,168],"(DNN)":[38],"could":[39],"detect":[40],"with":[42,78,89],"higher":[43],"accuracy,":[44,65],"but":[45],"models":[47,60],"are":[48,69],"too":[49],"large":[50],"to":[51,95,113,173],"run":[52],"on":[53,110,122,140,153,161,176,193],"limited":[54],"resource":[55],"platforms.":[56],"To":[57],"make":[58],"smaller":[61],"improve":[63],"three":[66],"novel":[67],"strategies":[68],"proposed":[70],"in":[71,128],"this":[72],"paper:":[73],"1)":[74],"feed":[75,86],"networks":[77],"blocks":[79],"rather":[80,92],"than":[81,93],"original":[83],"image;":[84],"2)":[85],"condensed":[90],"data":[91],"videos":[94],"extract":[96],"dynamic":[97],"characteristics;":[98],"3)":[100],"framework":[102],"has":[103],"two":[104],"stages,":[105],"first":[107],"stage":[108,120],"focuses":[109,121],"every":[111,137],"block":[112],"find":[114],"thin":[115],"smoke,":[116],"second":[119,149],"ascending":[124],"expanding":[126],"motions":[127],"videos.":[129],"It":[130],"not":[132],"an":[133],"end-to-end":[134],"network,":[135],"subnetwork":[138],"works":[139],"small":[142,171],"matrix,":[143],"even":[144],"one":[146],"at":[147],"stage,":[150],"which":[151],"operates":[152],"whole":[155],"image.":[156],"Therefore,":[157],"based":[160,192],"these":[162],"strategies,":[163],"slight":[165],"perceptual":[167],"(SSPN),":[169],"enough":[172],"be":[174],"integrated":[175],"raspberry":[178],"pi.":[179],"The":[180],"experiments":[181],"demonstrate":[182],"that":[183],"SSPN":[184],"outperforms":[185],"existing":[186],"traditional":[187],"methods":[188,191],"DNN":[194],"achieves":[196],"highest":[198,202],"accuracy":[199],"sensitivity.":[203]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
