{"id":"https://openalex.org/W3162612258","doi":"https://doi.org/10.1145/3452940.3453036","title":"A Detection Method of Unsafe Behavior in Substation Based on Deep Learning","display_name":"A Detection Method of Unsafe Behavior in Substation Based on Deep Learning","publication_year":2020,"publication_date":"2020-12-03","ids":{"openalex":"https://openalex.org/W3162612258","doi":"https://doi.org/10.1145/3452940.3453036","mag":"3162612258"},"language":"en","primary_location":{"id":"doi:10.1145/3452940.3453036","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3452940.3453036","pdf_url":null,"source":{"id":"https://openalex.org/S4306523813","display_name":"Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering","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/A5045300917","display_name":"Mingzeng Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingzeng Zhu","raw_affiliation_strings":["Hezhou Power Supply Bureau, Guangxi Power Grid Co., Ltd., Hezhou, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hezhou Power Supply Bureau, Guangxi Power Grid Co., Ltd., Hezhou, Guangxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030849811","display_name":"Qiuqin Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiuqin Qin","raw_affiliation_strings":["Hezhou Power Supply Bureau, Guangxi Power Grid Co., Ltd., Hezhou, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hezhou Power Supply Bureau, Guangxi Power Grid Co., Ltd., Hezhou, Guangxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108049798","display_name":"Chengwei Huang","orcid":"https://orcid.org/0000-0001-9060-6361"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chengwei Huang","raw_affiliation_strings":["Hezhou Power Supply Bureau, Guangxi Power Grid Co., Ltd., Hezhou, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hezhou Power Supply Bureau, Guangxi Power Grid Co., Ltd., Hezhou, Guangxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756628","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-5556-3896"},"institutions":[{"id":"https://openalex.org/I4210145500","display_name":"Guizhou Electric Power Design and Research Institute","ror":"https://ror.org/055f13495","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145500"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Electric Power Research Institute of Guangxi Power Grid Co., Ltd., Nanning, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute of Guangxi Power Grid Co., Ltd., Nanning, Guangxi, China","institution_ids":["https://openalex.org/I4210145500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022929476","display_name":"Zhaoting Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhaoting Liang","raw_affiliation_strings":["Hezhou Power Supply Bureau, Guangxi Power Grid Co., Ltd., Hezhou, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hezhou Power Supply Bureau, Guangxi Power Grid Co., Ltd., Hezhou, Guangxi, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066991677","display_name":"Jiwan Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiwan Chen","raw_affiliation_strings":["Hezhou Power Supply Bureau, Guangxi Power Grid Co., Ltd., Hezhou, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hezhou Power Supply Bureau, Guangxi Power Grid Co., Ltd., Hezhou, Guangxi, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0854,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41074698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9905","issue":null,"first_page":"499","last_page":"502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9925000071525574,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9925000071525574,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9684000015258789,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7497380375862122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6900926232337952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6224844455718994},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.608567476272583},{"id":"https://openalex.org/keywords/scratch","display_name":"Scratch","score":0.5202335119247437},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4432699680328369},{"id":"https://openalex.org/keywords/power-grid","display_name":"Power grid","score":0.44309723377227783},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.37125974893569946},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3558419942855835},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.33599841594696045},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3258403539657593},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2625632882118225},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10584479570388794}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7497380375862122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6900926232337952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6224844455718994},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.608567476272583},{"id":"https://openalex.org/C2781235140","wikidata":"https://www.wikidata.org/wiki/Q275131","display_name":"Scratch","level":2,"score":0.5202335119247437},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4432699680328369},{"id":"https://openalex.org/C2983254600","wikidata":"https://www.wikidata.org/wiki/Q1096907","display_name":"Power grid","level":3,"score":0.44309723377227783},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.37125974893569946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3558419942855835},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33599841594696045},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3258403539657593},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2625632882118225},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10584479570388794},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3452940.3453036","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3452940.3453036","pdf_url":null,"source":{"id":"https://openalex.org/S4306523813","display_name":"Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W2102605133","https://openalex.org/W2186222003","https://openalex.org/W4234552385"],"related_works":["https://openalex.org/W2475116013","https://openalex.org/W2066741154","https://openalex.org/W2770018148","https://openalex.org/W2358308169","https://openalex.org/W2385135707","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3034745255","https://openalex.org/W4254103348"],"abstract_inverted_index":{"During":[0],"the":[1,4,6,12,19,23,27,30,46,58,77,90,95,110,118,133,145],"operation":[2,10,21],"of":[3,11,22,29,48,63,67,94,147],"substation,":[5],"irregular":[7],"and":[8,32,44,60,74,130,132,149],"unsafe":[9,65,112],"staff":[13],"will":[14],"bring":[15],"safety":[16,28,72],"hazards":[17],"to":[18,42,88,127],"stable":[20],"power":[24],"grid,":[25],"threaten":[26],"staff,":[31],"may":[33],"cause":[34],"catastrophic":[35],"consequences.":[36],"Therefore,":[37],"it":[38,107],"is":[39,83],"very":[40],"important":[41],"detect":[43,109],"identify":[45],"behavior":[47],"substation":[49,68],"workers.":[50],"Based":[51],"on":[52,137],"this,":[53],"this":[54,86,142],"paper":[55,87,143],"mainly":[56],"studies":[57],"detection":[59,120,134],"recognition":[61,123,151,156],"methods":[62,124],"two":[64,111],"behaviors":[66,113],"workers":[69],"not":[70],"wearing":[71],"helmets":[73],"smoking":[75],"in":[76,85,141],"workplace.":[78],"The":[79],"deep":[80,91,138],"learning":[81,92,96,139],"method":[82,135],"used":[84],"improve":[89],"capabilities":[93],"deeply":[97],"supervised":[98],"object":[99],"detectors":[100],"(DSOD)":[101],"from":[102],"scratch":[103],"detector,":[104],"so":[105],"that":[106],"can":[108],"mentioned":[114],"above":[115],"while":[116],"considering":[117],"same":[119],"object.":[121],"Traditional":[122],"are":[125],"easy":[126],"misjudge":[128],"pictures":[129],"videos,":[131],"based":[136],"proposed":[140],"has":[144],"advantage":[146],"accurate":[148],"reliable":[150],"effect":[152],"compared":[153],"with":[154],"traditional":[155],"methods.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}