{"id":"https://openalex.org/W3009061032","doi":"https://doi.org/10.1109/icsai48974.2019.9010435","title":"Ammeter Inspection With Densely Connected Object Detection Network","display_name":"Ammeter Inspection With Densely Connected Object Detection Network","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3009061032","doi":"https://doi.org/10.1109/icsai48974.2019.9010435","mag":"3009061032"},"language":"en","primary_location":{"id":"doi:10.1109/icsai48974.2019.9010435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","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/A5100644375","display_name":"Hong Yan","orcid":"https://orcid.org/0000-0001-9661-3095"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong Yan","raw_affiliation_strings":["State Grid Zhejiang Hangzhou Fuyang District Power Supply Co., LTD, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Zhejiang Hangzhou Fuyang District Power Supply Co., LTD, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011740545","display_name":"Zhiqiang Jiao","orcid":"https://orcid.org/0000-0003-3610-2351"},"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":"Zhiqiang Jiao","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015959545","display_name":"Muwei Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muwei Yang","raw_affiliation_strings":["State Grid Zhejiang Hangzhou Fuyang District Power Supply Co., LTD, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Zhejiang Hangzhou Fuyang District Power Supply Co., LTD, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709541","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0001-5632-4408"},"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":"Qiang Wang","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101660068","display_name":"Ning Yang","orcid":"https://orcid.org/0000-0001-7021-3894"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Yang","raw_affiliation_strings":["Hangzhou Power Supply Co., State Grid Zhejiang Electric Power Co., LTD, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Power Supply Co., State Grid Zhejiang Electric Power Co., LTD, Hangzhou, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112305271","display_name":"Lijun Ma","orcid":"https://orcid.org/0000-0002-7311-2631"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lijun Ma","raw_affiliation_strings":["Zhejiang Huayun Information Technology Co., LTD, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Huayun Information Technology Co., LTD, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"345","last_page":"349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9980000257492065,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9969000220298767,"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/ammeter","display_name":"Ammeter","score":0.9209175109863281},{"id":"https://openalex.org/keywords/metering-mode","display_name":"Metering mode","score":0.759904146194458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7004571557044983},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6963546872138977},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.653224527835846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5254099369049072},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5139910578727722},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.46023157238960266},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44273439049720764},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.43306854367256165},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42144671082496643},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34387022256851196},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33622655272483826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2868262529373169},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.23056632280349731},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2277127504348755},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.18029573559761047},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16324886679649353}],"concepts":[{"id":"https://openalex.org/C17477027","wikidata":"https://www.wikidata.org/wiki/Q166046","display_name":"Ammeter","level":3,"score":0.9209175109863281},{"id":"https://openalex.org/C30905978","wikidata":"https://www.wikidata.org/wiki/Q815598","display_name":"Metering mode","level":2,"score":0.759904146194458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7004571557044983},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6963546872138977},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.653224527835846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5254099369049072},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5139910578727722},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.46023157238960266},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44273439049720764},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.43306854367256165},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42144671082496643},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34387022256851196},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33622655272483826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2868262529373169},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.23056632280349731},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2277127504348755},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.18029573559761047},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16324886679649353},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai48974.2019.9010435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1525954826","https://openalex.org/W2102605133","https://openalex.org/W2124386111","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2570343428","https://openalex.org/W2963037989","https://openalex.org/W2963446712","https://openalex.org/W2963542991","https://openalex.org/W3106250896","https://openalex.org/W6629368666","https://openalex.org/W6675026286","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2377023777","https://openalex.org/W2390495019","https://openalex.org/W2384104878","https://openalex.org/W2360352189","https://openalex.org/W2054457760","https://openalex.org/W2351145417","https://openalex.org/W2894651257","https://openalex.org/W3200590620","https://openalex.org/W4200172193","https://openalex.org/W4303926741"],"abstract_inverted_index":{"It":[0],"is":[1,41,58],"very":[2],"important":[3],"to":[4,27],"understand":[5],"the":[6,10,44,55,64,82,88],"safety":[7],"status":[8],"of":[9,47,74],"electric":[11,31,89],"metering":[12,32,90],"devices":[13],"in":[14,92],"our":[15],"daily":[16],"life.":[17],"This":[18],"paper":[19],"proposes":[20],"a":[21],"method":[22,84],"based":[23,62],"on":[24,63],"deep":[25],"learning":[26],"detect":[28,87],"and":[29],"evaluate":[30],"devices.":[33],"The":[34,68,77],"detection":[35,69],"Convolutional":[36],"Neural":[37],"Network":[38],"(CNN)":[39],"model":[40],"designed":[42],"with":[43,60],"end-to-end":[45],"architecture":[46],"You":[48],"Only":[49],"Look":[50],"Once":[51],"version":[52],"3(YOLOv3),":[53],"but":[54],"backbone":[56],"network":[57],"substituted":[59],"Densnet201":[61],"dense":[65],"connection":[66],"idea.":[67],"objects":[70],"include":[71],"ammeter":[72],"components":[73],"various":[75],"sizes.":[76],"experimental":[78],"results":[79],"show":[80],"that":[81],"proposed":[83],"can":[85],"effectively":[86],"device":[91],"real":[93],"time.":[94]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
