{"id":"https://openalex.org/W4407790616","doi":"https://doi.org/10.3233/idt-240255","title":"Application of automatic structured pruning method based on YOLO in power operation scenarios","display_name":"Application of automatic structured pruning method based on YOLO in power operation scenarios","publication_year":2024,"publication_date":"2024-11-01","ids":{"openalex":"https://openalex.org/W4407790616","doi":"https://doi.org/10.3233/idt-240255"},"language":"en","primary_location":{"id":"doi:10.3233/idt-240255","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-240255","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-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/A5109502047","display_name":"Shuang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111970","display_name":"Fujian Electric Power Survey & Design Institute","ror":"https://ror.org/0233jyt67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210111970"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Lin","raw_affiliation_strings":["State Grid Fujian Electric Power Research Institute Co., Ltd., Fuzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"State Grid Fujian Electric Power Research Institute Co., Ltd., Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I4210111970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002187786","display_name":"Jianye Huang","orcid":"https://orcid.org/0000-0001-5212-7562"},"institutions":[{"id":"https://openalex.org/I4210111970","display_name":"Fujian Electric Power Survey & Design Institute","ror":"https://ror.org/0233jyt67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210111970"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianye Huang","raw_affiliation_strings":["State Grid Fujian Electric Power Research Institute Co., Ltd., Fuzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"State Grid Fujian Electric Power Research Institute Co., Ltd., Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I4210111970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036289724","display_name":"Chenxiang Lin","orcid":"https://orcid.org/0000-0001-7041-1946"},"institutions":[{"id":"https://openalex.org/I4210111970","display_name":"Fujian Electric Power Survey & Design Institute","ror":"https://ror.org/0233jyt67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210111970"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxiang Lin","raw_affiliation_strings":["State Grid Fujian Electric Power Research Institute Co., Ltd., Fuzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"State Grid Fujian Electric Power Research Institute Co., Ltd., Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I4210111970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100992256","display_name":"Zheng Zhou","orcid":"https://orcid.org/0000-0002-0171-2590"},"institutions":[{"id":"https://openalex.org/I4210111970","display_name":"Fujian Electric Power Survey & Design Institute","ror":"https://ror.org/0233jyt67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210111970"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Zheng","raw_affiliation_strings":["State Grid Fujian Electric Power Research Institute Co., Ltd., Fuzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"State Grid Fujian Electric Power Research Institute Co., Ltd., Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I4210111970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009743639","display_name":"Deming He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111970","display_name":"Fujian Electric Power Survey & Design Institute","ror":"https://ror.org/0233jyt67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210111970"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deming He","raw_affiliation_strings":["State Grid Fujian Electric Power Co., Ltd., Fuzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"State Grid Fujian Electric Power Co., Ltd., Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I4210111970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738600","display_name":"Teng Ma","orcid":"https://orcid.org/0000-0002-7104-1526"},"institutions":[{"id":"https://openalex.org/I4210111970","display_name":"Fujian Electric Power Survey & Design Institute","ror":"https://ror.org/0233jyt67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210111970"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Teng Ma","raw_affiliation_strings":["State Grid Fujian Electric Power Research Institute Co., Ltd., Fuzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"State Grid Fujian Electric Power Research Institute Co., Ltd., Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I4210111970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015697131","display_name":"Xinxin Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111970","display_name":"Fujian Electric Power Survey & Design Institute","ror":"https://ror.org/0233jyt67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210111970"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Wu","raw_affiliation_strings":["State Grid Fujian Electric Power Research Institute Co., Ltd., Fuzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"State Grid Fujian Electric Power Research Institute Co., Ltd., Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I4210111970"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100738600"],"corresponding_institution_ids":["https://openalex.org/I4210111970"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28188782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"4","first_page":"3323","last_page":"3332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13715","display_name":"Power Line Inspection Robots","score":0.984499990940094,"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"}},"topics":[{"id":"https://openalex.org/T13715","display_name":"Power Line Inspection Robots","score":0.984499990940094,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9678000211715698,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T14276","display_name":"Power Systems and Technologies","score":0.9556000232696533,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.8811872005462646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5919439196586609},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.49954676628112793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4397236108779907},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3452128469944},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2185918390750885},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10405310988426208},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.05894511938095093}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8811872005462646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5919439196586609},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.49954676628112793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4397236108779907},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3452128469944},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2185918390750885},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10405310988426208},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.05894511938095093},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/idt-240255","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-240255","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2102605133","https://openalex.org/W2193145675","https://openalex.org/W2565639579","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2990230185","https://openalex.org/W3018757597","https://openalex.org/W3106250896","https://openalex.org/W4283801447","https://openalex.org/W4286893102","https://openalex.org/W4286910290","https://openalex.org/W4293584584","https://openalex.org/W4297775537","https://openalex.org/W4299545679","https://openalex.org/W4382203143","https://openalex.org/W4386076325","https://openalex.org/W4386083031","https://openalex.org/W4403627130"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"multi-scale":[1,96],"object":[2,97,129],"detection":[3,98,130,172],"algorithm":[4],"based":[5],"on":[6],"deep":[7,45,53],"learning":[8,46,54],"is":[9,22,102],"a":[10,50],"common":[11,79],"method":[12,94,101,137,159],"for":[13,95,104,144,166],"safety":[14,29,80,106,167],"monitoring":[15,81,107,168],"in":[16,69,83],"current":[17],"power":[18,31,35,71,84],"operation":[19,85],"scenarios,":[20,86],"which":[21,63],"of":[23,30,44,78,108,117,127,146],"great":[24],"significance":[25],"to":[26,75],"ensuring":[27],"the":[28,41,76,105,115,122,135,152,157],"operations.":[32],"For":[33],"certain":[34],"applications":[36],"with":[37],"high":[38],"real-time":[39,128],"requirements,":[40],"computational":[42],"complexity":[43,116],"models":[47,55],"may":[48],"become":[49],"bottleneck.":[51],"Deploying":[52],"requires":[56],"high-performance":[57],"hardware":[58],"support,":[59],"such":[60],"as":[61],"GPUs,":[62],"might":[64],"not":[65],"be":[66],"easily":[67],"achievable":[68],"some":[70],"field":[72],"environments.":[73],"According":[74],"characteristics":[77],"tasks":[82,169],"this":[87],"paper":[88],"proposes":[89],"an":[90],"automatic":[91,141],"structured":[92,142],"pruning":[93,143],"algorithms.":[99],"This":[100],"designed":[103],"single":[109],"and":[110,120],"fixed-scale":[111],"targets,":[112],"effectively":[113],"reducing":[114,171],"inference":[118,161],"calculations":[119],"improving":[121],"frames":[123],"per":[124],"second":[125],"(FPS)":[126],"without":[131,170],"compromising":[132],"accuracy.":[133,173],"Furthermore,":[134],"proposed":[136,158],"can":[138],"adaptively":[139],"perform":[140],"targets":[145],"different":[147],"scales.":[148],"Experiments":[149],"conducted":[150],"using":[151],"YOLOv5":[153],"model":[154],"demonstrate":[155],"that":[156],"improves":[160],"speed":[162],"by":[163],"approximately":[164],"20%":[165]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}