{"id":"https://openalex.org/W2996903826","doi":"https://doi.org/10.1109/ictc46691.2019.8939843","title":"Structure of Deep Learning Inference Engines for Embedded Systems","display_name":"Structure of Deep Learning Inference Engines for Embedded Systems","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2996903826","doi":"https://doi.org/10.1109/ictc46691.2019.8939843","mag":"2996903826"},"language":"en","primary_location":{"id":"doi:10.1109/ictc46691.2019.8939843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc46691.2019.8939843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5103862036","display_name":"Seung-mok Yoo","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seung-mok Yoo","raw_affiliation_strings":["Embedded System Research Group ETRI, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Embedded System Research Group ETRI, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073594072","display_name":"Chang-Sik Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Changsik Cho","raw_affiliation_strings":["Embedded System Research Group ETRI, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Embedded System Research Group ETRI, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698379","display_name":"Kyung Hee Lee","orcid":"https://orcid.org/0000-0003-2248-2525"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung Hee Lee","raw_affiliation_strings":["Embedded System Research Group ETRI, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Embedded System Research Group ETRI, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103062782","display_name":"Jaebok Park","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaebok Park","raw_affiliation_strings":["Embedded System Research Group ETRI, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Embedded System Research Group ETRI, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064006232","display_name":"Seok Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seok Jin","raw_affiliation_strings":["Embedded System Research Group ETRI, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Embedded System Research Group ETRI, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048121389","display_name":"Youngwoon Lee","orcid":"https://orcid.org/0000-0001-9011-0921"},"institutions":[{"id":"https://openalex.org/I51926615","display_name":"Sun Moon University","ror":"https://ror.org/009e5cd49","country_code":"KR","type":"education","lineage":["https://openalex.org/I51926615"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngwoon Lee","raw_affiliation_strings":["Dept. of Computer & Electronics Convergence Engineering, SunMoon University, Asan, Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer & Electronics Convergence Engineering, SunMoon University, Asan, Korea","institution_ids":["https://openalex.org/I51926615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033726593","display_name":"Byung\u2010Gyu Kim","orcid":"https://orcid.org/0000-0001-6555-3464"},"institutions":[{"id":"https://openalex.org/I31766871","display_name":"Sookmyung Women's University","ror":"https://ror.org/00vvvt117","country_code":"KR","type":"education","lineage":["https://openalex.org/I31766871"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byung-Gyu Kim","raw_affiliation_strings":["Dept. of IT Engineering, Sookmyung Women\u2019s University, Seoul, Korea","Dept. of IT Engineering, Sookmyung Women's University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of IT Engineering, Sookmyung Women\u2019s University, Seoul, Korea","institution_ids":["https://openalex.org/I31766871"]},{"raw_affiliation_string":"Dept. of IT Engineering, Sookmyung Women's University, Seoul, Korea","institution_ids":["https://openalex.org/I31766871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5103862036"],"corresponding_institution_ids":["https://openalex.org/I142401562"],"apc_list":null,"apc_paid":null,"fwci":0.5111,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70587586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2019","issue":null,"first_page":"920","last_page":"922"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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":0.9983999729156494,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T12535","display_name":"Machine Learning and Data Classification","score":0.9872999787330627,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.824848473072052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7905949354171753},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6353864073753357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6111881732940674},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5457642674446106},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5347147583961487},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5126684904098511},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4950341582298279},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4647141695022583},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4374491572380066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42358073592185974},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41248810291290283},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.30199533700942993},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18303734064102173},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13957470655441284},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09989646077156067}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.824848473072052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7905949354171753},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6353864073753357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6111881732940674},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5457642674446106},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5347147583961487},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5126684904098511},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4950341582298279},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4647141695022583},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4374491572380066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42358073592185974},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41248810291290283},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.30199533700942993},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18303734064102173},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13957470655441284},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09989646077156067},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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":2,"locations":[{"id":"doi:10.1109/ictc46691.2019.8939843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc46691.2019.8939843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"},{"id":"mag:3092296602","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002287068510008","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W1686810756"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2092530219","https://openalex.org/W2910064364","https://openalex.org/W4214747436"],"abstract_inverted_index":{"For":[0],"the":[1,43,64,121,133,145,157],"last":[2],"several":[3],"years,":[4],"various":[5],"types":[6],"of":[7,36],"deep":[8,15,47,74,89,99],"learning":[9,16,48,75,90,100],"applications":[10,41,76],"have":[11,21,32],"been":[12,22,33],"introduced.":[13],"Most":[14],"related":[17],"research":[18],"and":[19,60,119,156],"development":[20,102],"done":[23],"on":[24,86,132],"servers":[25],"or":[26],"PCs":[27],"with":[28,114,124],"GPUs.":[29],"Recently":[30],"there":[31],"a":[34,88,111,115],"number":[35],"moves":[37],"to":[38,42,52,107,138,143],"apply":[39],"those":[40],"industrial":[44],"sector.":[45],"When":[46],"techniques":[49],"are":[50],"applied":[51],"actual":[53,125],"targets,":[54],"we":[55,70,130],"can":[56,104],"face":[57],"some":[58],"spatial":[59],"environmental":[61],"constraints":[62],"unlike":[63],"laboratory":[65],"environment.":[66],"In":[67,127],"this":[68],"paper,":[69],"describe":[71,152],"requirements":[72,147],"when":[73],"run":[77],"for":[78,92,148],"embedded":[79,93,149],"systems.":[80,150],"We":[81,136,151,159],"introduce":[82],"our":[83,128,153],"ongoing":[84],"project":[85],"developing":[87],"framework":[91],"systems,":[94],"especially":[95],"automotive":[96],"vehicles.":[97],"Generally,":[98],"application":[101],"process":[103],"be":[105],"divided":[106],"two":[108],"steps:":[109],"training":[110],"data":[112,117,122],"model":[113,123],"big":[116],"set":[118],"executing":[120],"data.":[126],"framework,":[129],"focus":[131],"execution":[134],"step.":[135],"try":[137],"design":[139,154],"an":[140],"inference":[141],"engine":[142],"satisfy":[144],"operational":[146],"direction":[155],"structure.":[158],"also":[160],"show":[161],"preliminary":[162],"evaluation":[163],"result.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
