{"id":"https://openalex.org/W4405845971","doi":"https://doi.org/10.1109/apccas62602.2024.10808367","title":"Lightweight Binary Neural Networks for Edge Devices","display_name":"Lightweight Binary Neural Networks for Edge Devices","publication_year":2024,"publication_date":"2024-11-07","ids":{"openalex":"https://openalex.org/W4405845971","doi":"https://doi.org/10.1109/apccas62602.2024.10808367"},"language":"en","primary_location":{"id":"doi:10.1109/apccas62602.2024.10808367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas62602.2024.10808367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","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":null,"display_name":"Hyunkyu Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I94588446","display_name":"Hongik University","ror":"https://ror.org/00egdv862","country_code":"KR","type":"education","lineage":["https://openalex.org/I94588446"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunkyu Kang","raw_affiliation_strings":["Hongik University,School of Elecronic and Electrical Engineering,Seoul,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hongik University,School of Elecronic and Electrical Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I94588446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039628538","display_name":"Seokhoon Kim","orcid":"https://orcid.org/0000-0002-7919-6557"},"institutions":[{"id":"https://openalex.org/I94588446","display_name":"Hongik University","ror":"https://ror.org/00egdv862","country_code":"KR","type":"education","lineage":["https://openalex.org/I94588446"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seokhoon Kim","raw_affiliation_strings":["Hongik University,School of Elecronic and Electrical Engineering,Seoul,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hongik University,School of Elecronic and Electrical Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I94588446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112226844","display_name":"S.I. Moon","orcid":null},"institutions":[{"id":"https://openalex.org/I94588446","display_name":"Hongik University","ror":"https://ror.org/00egdv862","country_code":"KR","type":"education","lineage":["https://openalex.org/I94588446"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghyeok Moon","raw_affiliation_strings":["Hongik University,School of Elecronic and Electrical Engineering,Seoul,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hongik University,School of Elecronic and Electrical Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I94588446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100337312","display_name":"Young\u2010Min Kim","orcid":"https://orcid.org/0000-0003-3573-8753"},"institutions":[{"id":"https://openalex.org/I94588446","display_name":"Hongik University","ror":"https://ror.org/00egdv862","country_code":"KR","type":"education","lineage":["https://openalex.org/I94588446"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngmin Kim","raw_affiliation_strings":["Hongik University,School of Elecronic and Electrical Engineering,Seoul,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hongik University,School of Elecronic and Electrical Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I94588446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94588446"],"apc_list":null,"apc_paid":null,"fwci":0.3556,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60410119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"781","last_page":"784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8574000000953674,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8574000000953674,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6658371686935425},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6011820435523987},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5250958204269409},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.508162260055542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27121835947036743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07007786631584167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6658371686935425},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6011820435523987},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5250958204269409},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.508162260055542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27121835947036743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07007786631584167},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apccas62602.2024.10808367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas62602.2024.10808367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","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":7,"referenced_works":["https://openalex.org/W2565125333","https://openalex.org/W2765235648","https://openalex.org/W2888088168","https://openalex.org/W2891946740","https://openalex.org/W3008515144","https://openalex.org/W3189846752","https://openalex.org/W4313024841"],"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],"necessity":[1],"to":[2,31,84,92],"operate":[3],"artificial":[4],"neural":[5],"networks":[6],"on":[7],"edge":[8],"devices":[9,12],"and":[10,21,51,76,87],"mobile":[11],"efficiently":[13],"with":[14],"limited":[15],"resources":[16],"is":[17],"becoming":[18],"increasingly":[19],"prominent,":[20],"Binary":[22],"Neural":[23],"Networks":[24],"(BNNs)":[25],"are":[26,79],"emerging":[27],"as":[28],"an":[29,38],"alternative":[30],"this.":[32],"In":[33],"this":[34,72],"paper,":[35,73],"we":[36],"propose":[37],"improved":[39],"BNN":[40],"model":[41,107],"using":[42],"Vitis":[43],"HLS":[44],"that":[45],"can":[46],"significantly":[47,80],"reduce":[48],"resource":[49,74],"usage":[50,75],"power":[52,77],"consumption":[53,78],"at":[54],"the":[55,93,99],"expense":[56],"of":[57,67,101],"a":[58,103,110],"slight":[59],"reduction":[60],"in":[61,71,109],"accuracy.":[62],"By":[63],"applying":[64],"three":[65],"types":[66],"optimization":[68],"methods":[69],"proposed":[70],"reduced":[81],"by":[82],"up":[83],"$93":[85],"\\%$":[86],"$30":[88],"\\%$,":[89],"respectively,":[90],"compared":[91],"conventional":[94],"model.":[95],"This":[96],"effectively":[97],"demonstrates":[98],"possibility":[100],"implementing":[102],"high-performance":[104],"deep":[105],"learning":[106],"even":[108],"resource-limited":[111],"environment.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
