{"id":"https://openalex.org/W3214147318","doi":"https://doi.org/10.1145/3480001.3480010","title":"An Anti-vibration Hammer Detection Algorithm Based on Mobilenet V3 and YOLO V3","display_name":"An Anti-vibration Hammer Detection Algorithm Based on Mobilenet V3 and YOLO V3","publication_year":2021,"publication_date":"2021-07-23","ids":{"openalex":"https://openalex.org/W3214147318","doi":"https://doi.org/10.1145/3480001.3480010","mag":"3214147318"},"language":"en","primary_location":{"id":"doi:10.1145/3480001.3480010","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3480001.3480010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Deep Learning Technologies (ICDLT)","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/A5100379148","display_name":"Jian\u2010Xin Chen","orcid":"https://orcid.org/0000-0002-8703-5294"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianxin Chen","raw_affiliation_strings":["Hangzhou Electric Power Equipment Manufacturing CO.,Ltd, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Electric Power Equipment Manufacturing CO.,Ltd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327448","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0002-4026-4284"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["Hangzhou Electric Power Equipment Manufacturing CO.,Ltd, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Electric Power Equipment Manufacturing CO.,Ltd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090224811","display_name":"Shujiang Yu","orcid":"https://orcid.org/0000-0002-5397-4576"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shujiang Yu","raw_affiliation_strings":["Hangzhou Electric Power Equipment Manufacturing CO.,Ltd, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Electric Power Equipment Manufacturing CO.,Ltd, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100884167","display_name":"Qingcang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingcang Yu","raw_affiliation_strings":["Zhejiang Sci-Tech University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Sci-Tech University, China","institution_ids":["https://openalex.org/I1328775524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9944999814033508,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9937999844551086,"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/hammer","display_name":"Hammer","score":0.7416383624076843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6418615579605103},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5863134860992432},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5227810740470886},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4792206883430481},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.47562888264656067},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4536825716495514},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4117598235607147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3945884108543396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32327014207839966},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.29917120933532715},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16556623578071594},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.14784595370292664},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.12359163165092468},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11275169253349304},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0963703989982605}],"concepts":[{"id":"https://openalex.org/C13655849","wikidata":"https://www.wikidata.org/wiki/Q25294","display_name":"Hammer","level":2,"score":0.7416383624076843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6418615579605103},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5863134860992432},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5227810740470886},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4792206883430481},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.47562888264656067},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4536825716495514},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4117598235607147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3945884108543396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32327014207839966},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29917120933532715},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16556623578071594},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.14784595370292664},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.12359163165092468},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11275169253349304},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0963703989982605},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3480001.3480010","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3480001.3480010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Deep Learning Technologies (ICDLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2962949934","https://openalex.org/W4404332706"],"related_works":["https://openalex.org/W2322268536","https://openalex.org/W597548609","https://openalex.org/W4245223055","https://openalex.org/W2066769432","https://openalex.org/W2114141008","https://openalex.org/W4285009037","https://openalex.org/W2363865999","https://openalex.org/W3120832416","https://openalex.org/W1975330574","https://openalex.org/W2376722162"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"object":[2],"detection":[3,25,43,118],"algorithms":[4],"have":[5],"some":[6],"limitations,":[7],"such":[8],"as":[9],"complex":[10],"network":[11],"structure":[12],"and":[13,49,64,114,116],"high":[14],"computing":[15],"power":[16],"requirements,":[17],"which":[18,76],"makes":[19],"it":[20],"difficult":[21],"to":[22,33,71],"meet":[23],"real-time":[24],"in":[26,60],"transmission":[27],"line":[28],"inspection":[29],"robots.":[30],"In":[31],"response":[32],"this":[34],"problem,":[35],"we":[36],"propose":[37],"an":[38],"improved":[39],"lightweight":[40],"anti-vibration":[41,55,111],"hammer":[42,56,112],"algorithm":[44,108],"based":[45],"on":[46,127],"MobileNet":[47,81,93],"V3":[48,82,94],"YOLO":[50,99],"V3.":[51],"As":[52],"the":[53,73,89,98,107,117],"collected":[54],"dataset":[57],"is":[58],"limited":[59],"size,":[61],"Gaussian":[62],"noise":[63,68],"salt":[65],"&":[66],"pepper":[67],"are":[69,77,95],"applied":[70],"expand":[72],"dataset,":[74],"respectively,":[75],"then":[78],"fed":[79,96],"into":[80,97],"for":[83,101],"feature":[84],"extraction":[85],"after":[86],"labeled.":[87],"Finally,":[88],"extracted":[90],"features":[91],"with":[92],"module":[100],"training.":[102],"Experiments":[103],"results":[104],"show":[105],"that":[106],"can":[109,124],"detect":[110],"clearly":[113],"effectively,":[115],"speed":[119],"of":[120],"68ms":[121],"per":[122],"sheet":[123],"be":[125],"achieved":[126],"low-power":[128],"embedded":[129],"devices.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}