{"id":"https://openalex.org/W4386323694","doi":"https://doi.org/10.1109/icce-taiwan58799.2023.10226770","title":"System Integration and Optimization of AI Hardware Acceleration Architecture for Object Detection","display_name":"System Integration and Optimization of AI Hardware Acceleration Architecture for Object Detection","publication_year":2023,"publication_date":"2023-07-17","ids":{"openalex":"https://openalex.org/W4386323694","doi":"https://doi.org/10.1109/icce-taiwan58799.2023.10226770"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan58799.2023.10226770","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce-taiwan58799.2023.10226770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5005053666","display_name":"Chung-Bin Wu","orcid":"https://orcid.org/0000-0001-6585-980X"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chung-Bin Wu","raw_affiliation_strings":["National Chung Hsing University,Department of Eletrical Engineering,Taichung,Taiwan","Department of Eletrical Engineering, National Chung Hsing University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chung Hsing University,Department of Eletrical Engineering,Taichung,Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Department of Eletrical Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078343932","display_name":"Yi-Yen Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Yen Lai","raw_affiliation_strings":["National Chung Hsing University,Department of Eletrical Engineering,Taichung,Taiwan","Department of Eletrical Engineering, National Chung Hsing University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chung Hsing University,Department of Eletrical Engineering,Taichung,Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Department of Eletrical Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112991557","display_name":"Yen-Ren Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Ren Hou","raw_affiliation_strings":["National Chung Hsing University,Department of Eletrical Engineering,Taichung,Taiwan","Department of Eletrical Engineering, National Chung Hsing University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chung Hsing University,Department of Eletrical Engineering,Taichung,Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Department of Eletrical Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005053666"],"corresponding_institution_ids":["https://openalex.org/I162838928"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10137455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"93","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"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":0.9979000091552734,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9922000169754028,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9871000051498413,"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/computer-science","display_name":"Computer science","score":0.7614448070526123},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7224493622779846},{"id":"https://openalex.org/keywords/mpsoc","display_name":"MPSoC","score":0.6867890954017639},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.6341124176979065},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.617517352104187},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.5998154878616333},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5658228993415833},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.539205014705658},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.5299661755561829},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.4996354579925537},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49160298705101013},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4772600829601288},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43531912565231323},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.34792453050613403},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34445273876190186},{"id":"https://openalex.org/keywords/system-on-a-chip","display_name":"System on a chip","score":0.24372190237045288},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21010538935661316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19288653135299683},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08889055252075195},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.07990369200706482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7614448070526123},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7224493622779846},{"id":"https://openalex.org/C2777187653","wikidata":"https://www.wikidata.org/wiki/Q975106","display_name":"MPSoC","level":3,"score":0.6867890954017639},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.6341124176979065},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.617517352104187},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.5998154878616333},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5658228993415833},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.539205014705658},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.5299661755561829},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.4996354579925537},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49160298705101013},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4772600829601288},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43531912565231323},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.34792453050613403},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34445273876190186},{"id":"https://openalex.org/C118021083","wikidata":"https://www.wikidata.org/wiki/Q610398","display_name":"System on a chip","level":2,"score":0.24372190237045288},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21010538935661316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19288653135299683},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08889055252075195},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.07990369200706482},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan58799.2023.10226770","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce-taiwan58799.2023.10226770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2989604896","https://openalex.org/W3010762644","https://openalex.org/W3018757597","https://openalex.org/W3034971973","https://openalex.org/W4221017797","https://openalex.org/W6777046832"],"related_works":["https://openalex.org/W2348165886","https://openalex.org/W1862215007","https://openalex.org/W1985673483","https://openalex.org/W1591980797","https://openalex.org/W2103021426","https://openalex.org/W2167687564","https://openalex.org/W1985775997","https://openalex.org/W1982120363","https://openalex.org/W2518118925","https://openalex.org/W3159273459"],"abstract_inverted_index":{"This":[0],"paper":[1,44],"proposes":[2],"a":[3],"system":[4,117],"integration":[5,118],"and":[6,35,47,71,75,77,86,93,105,112],"optimized":[7,37],"hardware":[8,50],"acceleration":[9],"design":[10],"for":[11,68],"the":[12,17,23,26,29,32,36,52,69,96,110,113,116,122],"lightweight":[13],"YOLOV3":[14],"model":[15],"in":[16,49],"object":[18],"detection":[19],"network":[20],"architecture,":[21],"including":[22],"Convolution":[24,70,78],"Layer,":[25,28,31,95],"Maxpooling":[27,72,91],"Detection":[30],"Shortcut":[33,76,94],"layer,":[34],"i":[38],"output":[39],"layers.":[40],"In":[41],"addition,":[42],"this":[43],"is":[45,61,99],"verified":[46],"implemented":[48],"on":[51],"Xilinx":[53],"Zynq":[54],"UltraScale+MPSoc":[55],"ZCU102FPGA":[56],"platform.":[57],"The":[58,64],"operating":[59],"frequency":[60],"180":[62],"MHz.":[63],"usage":[65],"of":[66,115],"bandwidth":[67],"Layer":[73,79,92],"Fusion":[74,80],"can":[81],"be":[82],"reduced":[83],"by":[84],"85.33%":[85],"45.27%,":[87],"respectively.":[88,108],"While":[89],"optimizing":[90],"running":[97],"time":[98],"faster":[100],"than":[101],"ARM":[102],"CortaxA53":[103],"15":[104],"26":[106],"times,":[107],"Furthermore,":[109],"realization":[111],"results":[114],"are":[119],"exhibited":[120],"through":[121],"HDMI":[123],"monitor.":[124]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
