{"id":"https://openalex.org/W2112980946","doi":"https://doi.org/10.1109/jssc.2009.2031768","title":"A 201.4 GOPS 496 mW Real-Time Multi-Object Recognition Processor With Bio-Inspired Neural Perception Engine","display_name":"A 201.4 GOPS 496 mW Real-Time Multi-Object Recognition Processor With Bio-Inspired Neural Perception Engine","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2112980946","doi":"https://doi.org/10.1109/jssc.2009.2031768","mag":"2112980946"},"language":"en","primary_location":{"id":"doi:10.1109/jssc.2009.2031768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2009.2031768","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Solid-State Circuits","raw_type":"journal-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/A5100447377","display_name":"Joo-Young Kim","orcid":"https://orcid.org/0000-0003-1099-1496"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Joo-Young Kim","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","KAIST , Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"KAIST , Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101522774","display_name":"Minsu Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minsu Kim","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","KAIST , Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"KAIST , Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734813","display_name":"Seungjin Lee","orcid":"https://orcid.org/0000-0002-7404-8731"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungjin Lee","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","KAIST , Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"KAIST , Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089478486","display_name":"Jinwook Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinwook Oh","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","KAIST , Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"KAIST , Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101798792","display_name":"Kwanho Kim","orcid":"https://orcid.org/0000-0002-9487-2365"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwanho Kim","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","KAIST , Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"KAIST , Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077896259","display_name":"Hoi\u2010Jun Yoo","orcid":"https://orcid.org/0000-0002-6661-4879"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoi-Jun Yoo","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","KAIST , Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"KAIST , Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100447377"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":16.1449,"has_fulltext":false,"cited_by_count":120,"citation_normalized_percentile":{"value":0.99346914,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"45","issue":"1","first_page":"32","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9994000196456909,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9987000226974487,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9961000084877014,"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":0.7410114407539368},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6183457374572754},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5187066197395325},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5070230960845947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4772215485572815},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4579024314880371},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.44220879673957825},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44056469202041626},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.41034039855003357},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3309970498085022},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3307892680168152}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7410114407539368},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6183457374572754},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5187066197395325},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5070230960845947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4772215485572815},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4579024314880371},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.44220879673957825},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44056469202041626},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.41034039855003357},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3309970498085022},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3307892680168152},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jssc.2009.2031768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2009.2031768","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Solid-State Circuits","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W22297218","https://openalex.org/W191001584","https://openalex.org/W1484752486","https://openalex.org/W1543644792","https://openalex.org/W1576690293","https://openalex.org/W1582019256","https://openalex.org/W1966637404","https://openalex.org/W2012330712","https://openalex.org/W2097146793","https://openalex.org/W2098276517","https://openalex.org/W2098284001","https://openalex.org/W2112329315","https://openalex.org/W2112980946","https://openalex.org/W2116528865","https://openalex.org/W2127711920","https://openalex.org/W2128272608","https://openalex.org/W2135152980","https://openalex.org/W2145336644","https://openalex.org/W2151103935","https://openalex.org/W2151351903","https://openalex.org/W2156761163","https://openalex.org/W2164089146","https://openalex.org/W2171843744","https://openalex.org/W2174613990","https://openalex.org/W2180773256","https://openalex.org/W2293768995","https://openalex.org/W4251731575","https://openalex.org/W6629096286","https://openalex.org/W6634504023","https://openalex.org/W6684228239"],"related_works":["https://openalex.org/W4320197069","https://openalex.org/W2200925278","https://openalex.org/W2104777652","https://openalex.org/W2613077666","https://openalex.org/W2652818544","https://openalex.org/W2363840281","https://openalex.org/W2888154659","https://openalex.org/W2360875750","https://openalex.org/W2026019026","https://openalex.org/W2127769904"],"abstract_inverted_index":{"A":[0],"201.4":[1],"GOPS":[2],"real-time":[3],"multi-object":[4,17,35,178],"recognition":[5,18,58,179,212],"processor":[6],"is":[7,20,41,125,144,155,205],"presented":[8],"with":[9,43,130],"a":[10,37,120,158],"three-stage":[11],"pipelined":[12],"architecture.":[13],"Visual":[14],"perception":[15,39,73],"based":[16,113],"algorithm":[19],"applied":[21],"to":[22,26,70,91,181],"give":[23],"multiple":[24,27],"attentions":[25],"objects":[28,184],"in":[29,88,146,157],"the":[30,53,71,89,95,106,110,210],"input":[31,191],"image.":[32],"For":[33,98,136],"human-like":[34],"perception,":[36,61],"neural":[38,46,72],"engine":[40],"proposed":[42,54,102,126],"biologically":[44],"inspired":[45],"networks":[47],"and":[48,64,82,86,164,169],"fuzzy":[49],"logic":[50],"circuits.":[51],"In":[52,118],"hardware":[55],"architecture,":[56],"three":[57,111],"tasks":[59],"(visual":[60],"descriptor":[62],"generation,":[63],"object":[65,96,138],"decision)":[66],"are":[67],"directly":[68],"mapped":[69],"engine,":[74],"16":[75],"SIMD":[76],"processors":[77],"including":[78],"128":[79],"processing":[80],"elements,":[81],"decision":[83],"processor,":[84],"respectively,":[85],"executed":[87],"pipeline":[90],"maximize":[92],"throughput":[93],"of":[94,109],"recognition.":[97],"efficient":[99],"task":[100],"pipelining,":[101],"task/power":[103],"manager":[104],"balances":[105],"execution":[107],"times":[108,207],"stages":[112],"on":[114],"intelligent":[115],"workload":[116],"estimations.":[117],"addition,":[119],"118.4":[121],"GB/s":[122],"multi-casting":[123],"network-on-chip":[124],"for":[127,185],"communication":[128],"architecture":[129],"incorporating":[131],"overall":[132],"21":[133],"IP":[134],"blocks.":[135],"low-power":[137],"recognition,":[139],"workload-aware":[140],"dynamic":[141],"power":[142],"management":[143],"performed":[145],"chip-level.":[147],"The":[148,199],"49":[149],"mm":[150],"<sup":[151],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[152],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[153],"chip":[154],"fabricated":[156],"0.13":[159],"\u00bfm":[160],"8-metal":[161],"CMOS":[162],"process":[163],"contains":[165],"3.7":[166],"M":[167],"gates":[168],"396":[170],"KB":[171],"on-chip":[172],"SRAM.":[173],"It":[174],"achieves":[175],"60":[176],"frame/sec":[177],"up":[180],"10":[182],"different":[183],"VGA":[186],"(640":[187],"\u00d7":[188],"480)":[189],"video":[190],"while":[192],"dissipating":[193],"496":[194],"mW":[195],"at":[196],"1.2":[197],"V.":[198],"obtained":[200],"8.2":[201],"mJ/frame":[202],"energy":[203],"efficiency":[204],"3.2":[206],"higher":[208],"than":[209],"state-of-the-art":[211],"processor.":[213]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":19}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}