{"id":"https://openalex.org/W2789461907","doi":"https://doi.org/10.1109/ccwc.2018.8301757","title":"Handwritten digit recognition system on an FPGA","display_name":"Handwritten digit recognition system on an FPGA","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2789461907","doi":"https://doi.org/10.1109/ccwc.2018.8301757","mag":"2789461907"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc.2018.8301757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc.2018.8301757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5011676423","display_name":"Jiong Si","orcid":null},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiong Si","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, Las Vegas, NV, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, Las Vegas, NV, U.S.A","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065027413","display_name":"Sarah Harris","orcid":"https://orcid.org/0000-0002-2807-9529"},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah L. Harris","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, Las Vegas, NV, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, Las Vegas, NV, U.S.A","institution_ids":["https://openalex.org/I133999245"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I133999245"],"apc_list":null,"apc_paid":null,"fwci":1.8001,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88347295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"402","last_page":"407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9973999857902527,"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":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9914000034332275,"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.8472833633422852},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.8340017795562744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7867852449417114},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.585081934928894},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.511622965335846},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4926636815071106},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4683634042739868},{"id":"https://openalex.org/keywords/software-implementation","display_name":"Software implementation","score":0.46081680059432983},{"id":"https://openalex.org/keywords/vhdl","display_name":"VHDL","score":0.45778408646583557},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3282080888748169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3157355487346649},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07083618640899658}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.8472833633422852},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8340017795562744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7867852449417114},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.585081934928894},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.511622965335846},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4926636815071106},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4683634042739868},{"id":"https://openalex.org/C2983609787","wikidata":"https://www.wikidata.org/wiki/Q10534782","display_name":"Software implementation","level":3,"score":0.46081680059432983},{"id":"https://openalex.org/C36941000","wikidata":"https://www.wikidata.org/wiki/Q209455","display_name":"VHDL","level":3,"score":0.45778408646583557},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3282080888748169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3157355487346649},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07083618640899658}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ccwc.2018.8301757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc.2018.8301757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalscholarship.unlv.edu:ece_fac_articles-2011","is_oa":false,"landing_page_url":"https://digitalscholarship.unlv.edu/ece_fac_articles/1008","pdf_url":null,"source":{"id":"https://openalex.org/S4377196371","display_name":"Digital Scholarship - UNLV (University of Nevada Reno)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134113660","host_organization_name":"University of Nevada, Reno","host_organization_lineage":["https://openalex.org/I134113660"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical and Computer Engineering Faculty Publications","raw_type":"text"},{"id":"pmh:oai:oasis.library.unlv.edu:ece_fac_articles-2011","is_oa":false,"landing_page_url":"https://oasis.library.unlv.edu/ece_fac_articles/1008","pdf_url":null,"source":{"id":"https://openalex.org/S4377196371","display_name":"Digital Scholarship - UNLV (University of Nevada Reno)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134113660","host_organization_name":"University of Nevada, Reno","host_organization_lineage":["https://openalex.org/I134113660"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical & Computer Engineering Faculty Research","raw_type":"conference"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1183703466","https://openalex.org/W1904365287","https://openalex.org/W1973695593","https://openalex.org/W2020374466","https://openalex.org/W2020832318","https://openalex.org/W2021379807","https://openalex.org/W2099471712","https://openalex.org/W2109255472","https://openalex.org/W2163605009","https://openalex.org/W2166894080","https://openalex.org/W2179352600","https://openalex.org/W2606722458","https://openalex.org/W2766447205","https://openalex.org/W4320013936","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W3004362061","https://openalex.org/W4297665406","https://openalex.org/W2364622490","https://openalex.org/W2042515040","https://openalex.org/W2383986884","https://openalex.org/W2356141508","https://openalex.org/W2749962643","https://openalex.org/W2390807153"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"our":[3],"implementation":[4,113],"of":[5,30,35,114],"a":[6,13,120],"multilayer":[7],"perceptron":[8],"(MLP)":[9],"learning":[10,117],"network":[11,118],"on":[12],"Cyclone":[14],"IVE":[15],"field":[16],"programmable":[17],"gate":[18],"array":[19],"(FPGA).":[20],"The":[21],"MLP":[22,116],"uses":[23],"MNIST":[24],"data,":[25],"the":[26,42,48,58,76,91,111,115],"Modified":[27],"National":[28],"Institute":[29],"Standards":[31],"and":[32,40,54],"Technology":[33],"database":[34],"handwritten":[36],"digits,":[37],"to":[38,74,95,103,125],"train":[39],"test":[41],"design.":[43],"Working":[44],"with":[45,63,105],"8-bit":[46],"precision,":[47],"FPGA":[49,112],"design":[50],"has":[51],"similar":[52],"accuracy":[53,86,100],"execution":[55],"time":[56],"as":[57],"32-bit":[59],"software":[60,127],"solution":[61,78],"but":[62],"144":[64],"times":[65],"slower":[66],"clock":[67],"frequency.":[68],"With":[69],"power":[70,80,123],"consumption":[71],"being":[72],"proportional":[73],"frequency,":[75],"hardware":[77],"provides":[79],"savings":[81],"at":[82],"no":[83],"cost":[84],"in":[85],"or":[87],"performance.":[88],"Further":[89],"reducing":[90],"precision":[92],"from":[93,101],"8":[94],"4":[96],"bits":[97],"only":[98],"reduces":[99],"89%":[102],"78%,":[104],"area":[106],"decreasing":[107],"by":[108],"41%.":[109],"Thus,":[110],"offers":[119],"high-performance,":[121],"low":[122],"alternative":[124],"traditional":[126],"methods.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
