{"id":"https://openalex.org/W3134146880","doi":"https://doi.org/10.1155/2021/6682710","title":"A PCB Electronic Components Detection Network Design Based on Effective Receptive Field Size and Anchor Size Matching","display_name":"A PCB Electronic Components Detection Network Design Based on Effective Receptive Field Size and Anchor Size Matching","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3134146880","doi":"https://doi.org/10.1155/2021/6682710","mag":"3134146880","pmid":"https://pubmed.ncbi.nlm.nih.gov/33727912"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6682710","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6682710","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/6682710.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2021/6682710.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070777877","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-8232-2219"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]},{"id":"https://openalex.org/I4210146051","display_name":"Anyang Institute of Technology","ror":"https://ror.org/03sd3t490","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210146051"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Anyang Institute of Technology, Anyang 455000, China","School of Mechanical Engineering, Jiangsu University, Zhenjiang 212000, China"],"raw_orcid":"https://orcid.org/0000-0002-8232-2219","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Anyang Institute of Technology, Anyang 455000, China","institution_ids":["https://openalex.org/I4210146051"]},{"raw_affiliation_string":"School of Mechanical Engineering, Jiangsu University, Zhenjiang 212000, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101938855","display_name":"Weiye Li","orcid":"https://orcid.org/0000-0002-8745-9441"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiye Li","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Guangdong University of Technology, Guangzhou 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Guangdong University of Technology, Guangzhou 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101517167","display_name":"Yingqian Chen","orcid":"https://orcid.org/0000-0002-1979-6702"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingqian Chen","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Guangdong University of Technology, Guangzhou 510006, China"],"raw_orcid":"https://orcid.org/0000-0002-1979-6702","affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Guangdong University of Technology, Guangzhou 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025549913","display_name":"Jinan Gu","orcid":"https://orcid.org/0000-0002-2097-0739"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinan Gu","raw_affiliation_strings":["School of Mechanical Engineering, Jiangsu University, Zhenjiang 212000, China"],"raw_orcid":"https://orcid.org/0000-0002-2097-0739","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Jiangsu University, Zhenjiang 212000, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025549913"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":3.1731,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.92111682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2021","issue":"1","first_page":"6682710","last_page":"6682710"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9994999766349792,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9951000213623047,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/receptive-field","display_name":"Receptive field","score":0.7164053916931152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6878468990325928},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6749261021614075},{"id":"https://openalex.org/keywords/field-size","display_name":"Field size","score":0.5777796506881714},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5309281945228577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3603532016277313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34399330615997314},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2405431866645813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18741294741630554},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13269191980361938},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12255531549453735}],"concepts":[{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.7164053916931152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6878468990325928},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6749261021614075},{"id":"https://openalex.org/C3019527723","wikidata":"https://www.wikidata.org/wiki/Q260899","display_name":"Field size","level":3,"score":0.5777796506881714},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5309281945228577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3603532016277313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34399330615997314},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2405431866645813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18741294741630554},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13269191980361938},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12255531549453735},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004581","descriptor_name":"Electronics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004581","descriptor_name":"Electronics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004581","descriptor_name":"Electronics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1155/2021/6682710","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6682710","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/6682710.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:33727912","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33727912","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:ed9bb060754a421c91c465903c9b0428","is_oa":false,"landing_page_url":"https://doaj.org/article/ed9bb060754a421c91c465903c9b0428","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2021 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7937487","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7937487","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2021/6682710","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6682710","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/6682710.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G4230677485","display_name":null,"funder_award_id":"[2018]119","funder_id":"https://openalex.org/F4320325625","funder_display_name":"Education Department of Henan Province"},{"id":"https://openalex.org/G4724279898","display_name":null,"funder_award_id":"No. 51875266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G659126274","display_name":null,"funder_award_id":"51875266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325625","display_name":"Education Department of Henan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3134146880.pdf","grobid_xml":"https://content.openalex.org/works/W3134146880.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1986529266","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2138884267","https://openalex.org/W2193145675","https://openalex.org/W2465554178","https://openalex.org/W2490270993","https://openalex.org/W2559655401","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2792885468","https://openalex.org/W2904473220","https://openalex.org/W2922509574","https://openalex.org/W2941765731","https://openalex.org/W2944641703","https://openalex.org/W2949651581","https://openalex.org/W2962727943","https://openalex.org/W2963037989","https://openalex.org/W2963253967","https://openalex.org/W2963307811","https://openalex.org/W2965397108","https://openalex.org/W2968147040","https://openalex.org/W2968648382","https://openalex.org/W2971587923","https://openalex.org/W2972309292","https://openalex.org/W2981154419","https://openalex.org/W2981506617","https://openalex.org/W2986661129","https://openalex.org/W2990043251","https://openalex.org/W2993266424","https://openalex.org/W2996275178","https://openalex.org/W2997900157","https://openalex.org/W2998910110","https://openalex.org/W3005035495","https://openalex.org/W3010699739","https://openalex.org/W3013691622","https://openalex.org/W3016641475","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W2089544495","https://openalex.org/W2079003682","https://openalex.org/W1555021777","https://openalex.org/W2913266608","https://openalex.org/W1964918325","https://openalex.org/W2799648451","https://openalex.org/W2189496153","https://openalex.org/W2186491718","https://openalex.org/W2141279761","https://openalex.org/W2427568745"],"abstract_inverted_index":{"Vision-based":[0],"recognizing":[1],"and":[2,32,48,72,90,124,126,131,140,159],"positioning":[3],"of":[4,19,29,45,92,98,103,187,192],"electronic":[5,20,37,63,177],"components":[6,38],"on":[7,39,110,174,203],"the":[8,15,23,27,30,33,36,40,43,82,88,93,99,104,147,167,175,183,188,193,200],"PCB":[9,41,176],"(printed":[10],"circuit":[11],"board)":[12],"can":[13,121],"improve":[14],"quality":[16],"inspection":[17],"efficiency":[18],"products":[21],"in":[22,76,81],"manufacturing":[24],"process.":[25],"With":[26],"improvement":[28],"design":[31],"production":[34],"process,":[35],"show":[42],"characteristics":[44],"small":[46],"sizes":[47],"similar":[49],"appearances,":[50],"which":[51,180],"brings":[52],"challenges":[53],"to":[54],"visual":[55],"object":[56],"detection.":[57],"This":[58],"paper":[59],"designs":[60],"a":[61,115,129],"real-time":[62],"component":[64,178],"detection":[65,133,169],"network":[66,134],"through":[67],"effective":[68,94,136],"receptive":[69,95,137],"field":[70,96,138],"size":[71,74,97,139,142,186],"anchor":[73,141],"matching":[75,143],"YOLOv3.":[77],"We":[78],"make":[79],"contributions":[80],"following":[83],"three":[84],"aspects:":[85],"(1)":[86],"realizing":[87],"calculation":[89],"visualization":[91],"different":[100],"depth":[101],"layers":[102],"CNN":[105],"(convolutional":[106],"neural":[107,152],"network)":[108,153],"based":[109],"gradient":[111],"backpropagation;":[112],"(2)":[113],"proposing":[114],"modular":[116],"YOLOv3":[117,195],"composition":[118],"strategy":[119],"that":[120],"be":[122],"added":[123],"removed;":[125],"(3)":[127],"designing":[128],"lightweight":[130],"efficient":[132],"by":[135],"algorithm.":[144],"Compared":[145],"with":[146,150],"Faster-RCNN":[148],"(regions":[149],"convolutional":[151],"features,":[154],"SSD":[155],"(single-shot":[156],"multibox":[157],"detectors),":[158],"original":[160,194],"YOLOv3,":[161],"our":[162],"method":[163],"not":[164],"only":[165],"has":[166],"highest":[168],"mAP":[170],"(mean":[171],"average":[172],"precision)":[173],"dataset,":[179],"is":[181],"95.03%,":[182],"smallest":[184],"parameter":[185,196],"memory,":[189],"about":[190],"1/3":[191],"amount,":[197],"but":[198],"also":[199],"second-best":[201],"performance":[202],"FLOPs":[204],"(floating":[205],"point":[206],"operations).":[207]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}