{"id":"https://openalex.org/W3108192785","doi":"https://doi.org/10.1109/icce-taiwan49838.2020.9258351","title":"A CNN Accelerator on FPGA using Binary Weight Networks","display_name":"A CNN Accelerator on FPGA using Binary Weight Networks","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3108192785","doi":"https://doi.org/10.1109/icce-taiwan49838.2020.9258351","mag":"3108192785"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan49838.2020.9258351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan49838.2020.9258351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-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/A5062323682","display_name":"Tsung\u2010Han Tsai","orcid":"https://orcid.org/0000-0001-7524-0621"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tsung-Han Tsai","raw_affiliation_strings":["National Central University"],"affiliations":[{"raw_affiliation_string":"National Central University","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030441568","display_name":"Yuan-Chen Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yuan-Chen Ho","raw_affiliation_strings":["National Central University"],"affiliations":[{"raw_affiliation_string":"National Central University","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062323682"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.57898098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9977999925613403,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9968000054359436,"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/mnist-database","display_name":"MNIST database","score":0.9035834670066833},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.8989109396934509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8146362900733948},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7590157985687256},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.6020727753639221},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5817570090293884},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5786613821983337},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.42499569058418274},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4136982858181},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3928530812263489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3429161310195923},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.07587459683418274}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.9035834670066833},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.8989109396934509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8146362900733948},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7590157985687256},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.6020727753639221},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5817570090293884},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5786613821983337},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.42499569058418274},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4136982858181},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3928530812263489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3429161310195923},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.07587459683418274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan49838.2020.9258351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan49838.2020.9258351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2264905057","https://openalex.org/W2285660444","https://openalex.org/W2300242332","https://openalex.org/W2431931973","https://openalex.org/W2565125333","https://openalex.org/W3102169921","https://openalex.org/W6693066613","https://openalex.org/W6698200048"],"related_works":["https://openalex.org/W3036048022","https://openalex.org/W4309224979","https://openalex.org/W3026879719","https://openalex.org/W4225949190","https://openalex.org/W1967938402","https://openalex.org/W2386041993","https://openalex.org/W1608572506","https://openalex.org/W4285144618","https://openalex.org/W2518118925","https://openalex.org/W4285104150"],"abstract_inverted_index":{"At":[0],"present,":[1],"convolutional":[2],"neural":[3,33,52],"networks":[4],"have":[5],"good":[6],"performance":[7],"while":[8],"performing":[9],"the":[10,28,32,41,47,57,63,72,85,89,100],"object":[11],"recognition":[12],"tasks,":[13],"but":[14],"it":[15],"relies":[16],"on":[17,56,97],"GPUs":[18],"to":[19,67,80],"solve":[20],"a":[21,37],"large":[22],"number":[23],"of":[24,31,49,99],"complex":[25],"operations.":[26],"Therefore,":[27],"hardware":[29,42,90],"accelerator":[30,54],"network":[34,53],"has":[35],"become":[36],"central":[38],"topic":[39],"in":[40,71,84],"researchers.":[43],"This":[44],"letter":[45],"presents":[46],"design":[48],"an":[50],"FPGA-based":[51],"implemented":[55],"Xilinx":[58],"Zynq-7020":[59],"FPGA.":[60],"We":[61],"use":[62,76],"binary":[64,77],"LeNet":[65],"model":[66,79],"achieve":[68,81],"91%":[69],"accuracy":[70,83],"MNIST":[73],"dataset":[74],"and":[75],"AlexNet":[78],"67%":[82],"CIFAR-10":[86],"dataset.":[87],"Meanwhile":[88],"resource":[91],"is":[92],"only":[93],"about":[94],"10%":[95],"usage":[96],"FPGA":[98],"original":[101],"design.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
