{"id":"https://openalex.org/W4407248310","doi":"https://doi.org/10.1109/aibthings63359.2024.10863546","title":"Optimizing Resource Utilization and Power Efficiency in FPGA-Accelerated YOLOv8 Object Detection Using Vivado High-Level Synthesis (HLS) Tool","display_name":"Optimizing Resource Utilization and Power Efficiency in FPGA-Accelerated YOLOv8 Object Detection Using Vivado High-Level Synthesis (HLS) Tool","publication_year":2024,"publication_date":"2024-09-07","ids":{"openalex":"https://openalex.org/W4407248310","doi":"https://doi.org/10.1109/aibthings63359.2024.10863546"},"language":"en","primary_location":{"id":"doi:10.1109/aibthings63359.2024.10863546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aibthings63359.2024.10863546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings)","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":"https://openalex.org/A5116189032","display_name":"Essel Emmanuel","orcid":null},"institutions":[{"id":"https://openalex.org/I145610796","display_name":"Southern University and Agricultural and Mechanical College","ror":"https://ror.org/04r3m2882","country_code":"US","type":"education","lineage":["https://openalex.org/I145610796"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Essel Emmanuel","raw_affiliation_strings":["Southern University and A &#x0026; M College,Electrical Engineering Department,Baton Rouge,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University and A &#x0026; M College,Electrical Engineering Department,Baton Rouge,USA","institution_ids":["https://openalex.org/I145610796"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059340607","display_name":"Fred Lacy","orcid":null},"institutions":[{"id":"https://openalex.org/I145610796","display_name":"Southern University and Agricultural and Mechanical College","ror":"https://ror.org/04r3m2882","country_code":"US","type":"education","lineage":["https://openalex.org/I145610796"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fred Lacy","raw_affiliation_strings":["Southern University and A &#x0026; M College,Electrical Engineering Department,Baton Rouge,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University and A &#x0026; M College,Electrical Engineering Department,Baton Rouge,USA","institution_ids":["https://openalex.org/I145610796"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091466829","display_name":"Yasser Ismail","orcid":"https://orcid.org/0000-0001-6648-6275"},"institutions":[{"id":"https://openalex.org/I145610796","display_name":"Southern University and Agricultural and Mechanical College","ror":"https://ror.org/04r3m2882","country_code":"US","type":"education","lineage":["https://openalex.org/I145610796"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yasser Ismail","raw_affiliation_strings":["Southern University and A &#x0026; M College,Electrical Engineering Department,Baton Rouge,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University and A &#x0026; M College,Electrical Engineering Department,Baton Rouge,USA","institution_ids":["https://openalex.org/I145610796"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145610796"],"apc_list":null,"apc_paid":null,"fwci":0.5259,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73201341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9975000023841858,"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":0.9975000023841858,"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":0.996399998664856,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9570000171661377,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/high-level-synthesis","display_name":"High-level synthesis","score":0.8551259636878967},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7667355537414551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6403725743293762},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5530814528465271},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5006558895111084},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4419103264808655}],"concepts":[{"id":"https://openalex.org/C58013763","wikidata":"https://www.wikidata.org/wiki/Q5754574","display_name":"High-level synthesis","level":3,"score":0.8551259636878967},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7667355537414551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6403725743293762},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5530814528465271},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5006558895111084},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4419103264808655},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aibthings63359.2024.10863546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aibthings63359.2024.10863546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2271624625","https://openalex.org/W2518660313","https://openalex.org/W2790167166","https://openalex.org/W2900316824","https://openalex.org/W2914905591","https://openalex.org/W3013346878","https://openalex.org/W3160929742","https://openalex.org/W4206351424","https://openalex.org/W4229673714","https://openalex.org/W4286771100","https://openalex.org/W4313546761","https://openalex.org/W4381053692","https://openalex.org/W4387975779","https://openalex.org/W4388609337","https://openalex.org/W4388823657","https://openalex.org/W4391429093"],"related_works":["https://openalex.org/W2096844293","https://openalex.org/W2363944576","https://openalex.org/W2612099726","https://openalex.org/W2351041855","https://openalex.org/W2570254841","https://openalex.org/W1967938402","https://openalex.org/W2386041993","https://openalex.org/W2160632767","https://openalex.org/W1608572506","https://openalex.org/W2135482679"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNNs)":[3],"are":[4,28],"crucial":[5],"in":[6,14,54,145],"computer":[7],"vision":[8],"due":[9,33],"to":[10,34,95,148],"their":[11,19,35],"high":[12,48,78],"accuracy":[13],"object":[15],"detection":[16],"tasks,":[17],"but":[18],"processing":[20],"demands":[21],"necessitate":[22],"efficient":[23],"hardware":[24,58],"acceleration":[25],"solutions.":[26],"FPGAs":[27],"ideal":[29],"for":[30,99,109,125],"this":[31],"purpose":[32],"reconfigurability,":[36],"parallelism,":[37],"and":[38,51,102,107,116,165],"low":[39],"power":[40,52,146],"consumption.":[41],"This":[42],"research":[43],"addresses":[44],"the":[45,66,96,117,120,126,168],"challenges":[46],"of":[47,104],"resource":[49,79,84,139],"utilization":[50,85,140],"consumption":[53],"existing":[55],"YOLOv8":[56,89,121],"FPGA":[57,110,158],"accelerators":[59],"by":[60,86],"proposing":[61],"an":[62],"optimized":[63],"approach":[64,137],"using":[65],"Vivado":[67,114,118],"High-Level":[68],"Synthesis":[69],"(HLS)":[70],"tool.":[71],"Unlike":[72],"a":[73,132,156],"prior":[74],"study":[75],"that":[76],"reported":[77],"usage,":[80],"our":[81,136],"method":[82],"reduces":[83],"9.2%.":[87],"The":[88],"model":[90],"is":[91,123,160],"converted":[92],"from":[93],"PyTorch":[94],"ONNX":[97],"format":[98],"better":[100],"visualization":[101],"extraction":[103],"layer":[105],"configurations":[106],"parameters":[108],"implementation.":[111],"Utilizing":[112],"Xilinx":[113],"HLS":[115],"environment,":[119],"architecture":[122],"designed":[124],"ZYNQ7":[127],"ZC706":[128],"board.":[129],"By":[130],"employing":[131],"16-bit":[133],"fixed-point":[134],"representation,":[135],"improves":[138],"efficiency.":[141],"A":[142],"significant":[143],"reduction":[144],"usage":[147],"9.342":[149],"W,":[150],"outperforming":[151],"previous":[152],"works":[153],"even":[154],"with":[155],"virtual":[157],"board,":[159],"achieved":[161],"after":[162],"performing":[163],"synthesis":[164],"implementation":[166],"on":[167],"design.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
