{"id":"https://openalex.org/W7127039473","doi":"https://doi.org/10.1145/3784833.3784845","title":"An Object Detection Approach for Unsafe Acts in Substations","display_name":"An Object Detection Approach for Unsafe Acts in Substations","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7127039473","doi":"https://doi.org/10.1145/3784833.3784845"},"language":null,"primary_location":{"id":"doi:10.1145/3784833.3784845","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3784833.3784845","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 11th International Conference on Communication and Information Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3784833.3784845","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124716977","display_name":"Ruolin Du","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruolin Du","raw_affiliation_strings":["China University of Mining and Technology(Beijing), Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-2763-0172","affiliations":[{"raw_affiliation_string":"China University of Mining and Technology(Beijing), Beijing, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124724815","display_name":"Shiying Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiying Zhu","raw_affiliation_strings":["China University of Mining and Technology(Beijing), Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-1194-2722","affiliations":[{"raw_affiliation_string":"China University of Mining and Technology(Beijing), Beijing, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124696880","display_name":"Wenqian Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqian Yu","raw_affiliation_strings":["China University of Mining and Technology(Beijing), Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-5925-0026","affiliations":[{"raw_affiliation_string":"China University of Mining and Technology(Beijing), Beijing, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124748063","display_name":"Jie Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["China University of Mining and Technology(Beijing), Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-1663-8347","affiliations":[{"raw_affiliation_string":"China University of Mining and Technology(Beijing), Beijing, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124715975","display_name":"Jun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Huang","raw_affiliation_strings":["Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet, Anhui University of Technology, Ma'anshan, China"],"raw_orcid":"https://orcid.org/0000-0002-2022-5747","affiliations":[{"raw_affiliation_string":"Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet, Anhui University of Technology, Ma'anshan, China","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124737339","display_name":"Wenchao Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenchao Gao","raw_affiliation_strings":["China University of Mining and Technology(Beijing), Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-1060-5752","affiliations":[{"raw_affiliation_string":"China University of Mining and Technology(Beijing), Beijing, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6214621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.800000011920929,"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":0.800000011920929,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.019500000402331352,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T13715","display_name":"Power Line Inspection Robots","score":0.018300000578165054,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/object-detection","display_name":"Object detection","score":0.7056000232696533},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5740000009536743},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5360999703407288},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5033000111579895},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4945000112056732},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47690001130104065},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47429999709129333},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4618000090122223}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7056000232696533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6340000033378601},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5740000009536743},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5360999703407288},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5113999843597412},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5033000111579895},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4945000112056732},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47690001130104065},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47429999709129333},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4618000090122223},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45750001072883606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45170000195503235},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3716999888420105},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3540000021457672},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33799999952316284},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3165999948978424},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.3156999945640564},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3091999888420105},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2996000051498413},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.298799991607666},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.29829999804496765},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3784833.3784845","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3784833.3784845","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 11th International Conference on Communication and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3784833.3784845","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3784833.3784845","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 11th International Conference on Communication and Information Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.48842093348503113,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2193145675","https://openalex.org/W2565639579","https://openalex.org/W3034552520","https://openalex.org/W3034971973"],"related_works":[],"abstract_inverted_index":{"Power":[0],"safety":[1,171],"production":[2,28],"is":[3,54],"of":[4,16,36,97,131,137,162,169],"paramount":[5],"importance.":[6],"Substation":[7],"operations,":[8],"as":[9],"a":[10,115,128,134],"critical":[11],"component,":[12],"require":[13],"the":[14,27,32,40,44,47,65,79,95,98,105,123,140,152,158,163,167],"deployment":[15],"intelligent":[17],"video":[18],"systems":[19],"to":[20,56,151],"supervise":[21],"and":[22,34,72,86,104,133,144,160],"manage":[23],"potential":[24],"violations":[25],"during":[26],"process.":[29],"This":[30],"necessitates":[31],"identification":[33],"detection":[35,74,92,119],"target":[37],"objects":[38],"within":[39],"surveillance":[41],"videos.":[42],"Addressing":[43],"challenge":[45],"that":[46,122],"widely-used":[48],"yet":[49],"computationally":[50],"expensive":[51],"YOLOv5l":[52],"model":[53],"difficult":[55],"deploy":[57],"on":[58,114],"edge":[59,178],"computing":[60],"devices,":[61],"this":[62],"paper":[63],"proposes":[64],"Mblock-DDC-BiFPN":[66,125],"method,":[67],"which":[68],"integrates":[69],"lightweight":[70],"design":[71],"multi-object":[73],"capabilities.":[75],"The":[76,155],"method":[77,126,165],"reduces":[78],"model\u2019s":[80,141],"computational":[81,145],"cost":[82],"by":[83],"employing":[84],"DepCBL":[85],"Mblock":[87],"modules,":[88],"while":[89],"simultaneously":[90],"enhancing":[91],"accuracy":[93],"through":[94],"introduction":[96],"Efficient":[99],"Channel":[100],"Attention":[101],"(ECA)":[102],"mechanism":[103],"Bidirectional":[106],"Feature":[107],"Pyramid":[108],"Network":[109],"(BiFPN)":[110],"structure.":[111],"Experimental":[112],"results":[113],"self-constructed":[116],"substation":[117],"object":[118],"dataset":[120],"show":[121],"proposed":[124,164],"achieves":[127],"[email":[129,135],"protected]":[130],"98.0%":[132],"protected]:0.95":[136],"76.5%.":[138],"Moreover,":[139],"parameter":[142],"count":[143],"complexity":[146],"are":[147],"significantly":[148],"reduced":[149],"compared":[150],"original":[153],"YOLOv5l.":[154],"experiments":[156],"validate":[157],"effectiveness":[159],"practicality":[161],"in":[166],"field":[168],"power":[170],"production,":[172],"offering":[173],"an":[174],"efficient":[175],"solution":[176],"for":[177],"device":[179],"deployment.":[180]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-03T00:00:00"}