{"id":"https://openalex.org/W4294069233","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9869085","title":"Object Detection Inference System with Deep Learning NVDLA Accelerator","display_name":"Object Detection Inference System with Deep Learning NVDLA Accelerator","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4294069233","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9869085"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan55306.2022.9869085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9869085","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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/A5008507157","display_name":"Yeong-Kang Lai","orcid":"https://orcid.org/0000-0002-5465-7935"},"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":"Yeong-Kang Lai","raw_affiliation_strings":["National Chung Hsing University,Department of Electrical Engineering","Department of Electrical Engineering, National Chung Hsing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chung Hsing University,Department of Electrical Engineering","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066707600","display_name":"Chuan-Wei Huang","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":"Chuan-Wei Huang","raw_affiliation_strings":["National Chung Hsing University,Department of Electrical Engineering","Department of Electrical Engineering, National Chung Hsing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chung Hsing University,Department of Electrical Engineering","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University","institution_ids":["https://openalex.org/I162838928"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"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":0.0969163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"corr","issue":null,"first_page":"67","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9883000254631042,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8031469583511353},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7628055810928345},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6787974834442139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6322929859161377},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6186188459396362},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6054543852806091},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5843376517295837},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5479228496551514},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5273852348327637},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.41106516122817993},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3216940760612488},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.30287009477615356},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.24638724327087402},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.1319965124130249}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8031469583511353},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7628055810928345},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6787974834442139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6322929859161377},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6186188459396362},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6054543852806091},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5843376517295837},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5479228496551514},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5273852348327637},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.41106516122817993},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3216940760612488},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30287009477615356},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.24638724327087402},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.1319965124130249}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan55306.2022.9869085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9869085","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2963122961","https://openalex.org/W3089971831","https://openalex.org/W3115223619","https://openalex.org/W3117898519","https://openalex.org/W3127087574"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W4321636575","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W2045526782","https://openalex.org/W2741131631","https://openalex.org/W2156919374","https://openalex.org/W1483472507","https://openalex.org/W3042419602","https://openalex.org/W2966649771"],"abstract_inverted_index":{"Nowadays,":[0],"when":[1],"Artificial":[2],"Intelligence":[3],"(AI)":[4],"is":[5],"getting":[6],"more":[7],"advanced,":[8],"many":[9,28],"applications":[10,70],"are":[11,27],"following":[12],"its":[13,59],"footsteps.":[14],"For":[15],"example,":[16],"in":[17,68],"the":[18],"fields":[19],"of":[20,44],"object":[21,66],"recognition":[22,67],"and":[23,39,57,71],"speech":[24],"processing,":[25],"there":[26],"different":[29],"DNN":[30,73],"(deep":[31],"neural":[32],"network)":[33],"structures.":[34],"By":[35],"combining":[36],"these":[37],"DNNs":[38],"collecting":[40],"a":[41],"large":[42],"library":[43],"images":[45],"or":[46],"audio.":[47],"It":[48,79],"uses":[49,72],"GPUs":[50],"for":[51,76],"training":[52],"to":[53,81,100],"achieve":[54],"high":[55],"accuracy":[56],"meet":[58],"application":[60],"requirements.":[61],"This":[62],"paper":[63],"focuses":[64],"on":[65],"store":[69],"hardware":[74,83],"accelerators":[75],"real-time":[77],"inference.":[78],"maps":[80],"NVDLA":[82,86],"using":[84],"YOLOv2-tiny.":[85],"can":[87,97],"perform":[88],"YOLOv2-tiny":[89],"with":[90],"256":[91],"MAC@150":[92],"MHz":[93],"frequency.":[94],"Also,":[95],"it":[96],"reach":[98],"up":[99],"5":[101],"FPS.":[102]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}