{"id":"https://openalex.org/W4379983874","doi":"https://doi.org/10.1109/access.2023.3285113","title":"AMS Circuit Design Optimization Technique Based on ANN Regression Model With VAE Structure","display_name":"AMS Circuit Design Optimization Technique Based on ANN Regression Model With VAE Structure","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4379983874","doi":"https://doi.org/10.1109/access.2023.3285113"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3285113","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3285113","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10147301.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10147301.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025256378","display_name":"Jin-Won Hyun","orcid":"https://orcid.org/0000-0001-7150-0991"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin-Won Hyun","raw_affiliation_strings":["Department of Electronic Engineering, Seoul National University of Science and Technology, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7150-0991","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Seoul National University of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087787392","display_name":"Jae-Won Nam","orcid":"https://orcid.org/0000-0003-0986-4107"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Won Nam","raw_affiliation_strings":["Department of Electronic Engineering, Seoul National University of Science and Technology, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-0986-4107","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Seoul National University of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I118373667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118373667"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2323,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49593574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"58850","last_page":"58862"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9998999834060669,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9998999834060669,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9970999956130981,"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/computer-science","display_name":"Computer science","score":0.6662866473197937},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.45140540599823},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4125812351703644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37781548500061035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28254425525665283},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22103604674339294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17301785945892334}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6662866473197937},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.45140540599823},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4125812351703644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37781548500061035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28254425525665283},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22103604674339294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17301785945892334}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3285113","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3285113","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10147301.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2a94b695379045a8861b11a6e38f4a78","is_oa":true,"landing_page_url":"https://doaj.org/article/2a94b695379045a8861b11a6e38f4a78","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 58850-58862 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3285113","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3285113","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10147301.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1072078819","display_name":null,"funder_award_id":"IITP-2023-RS-2022-00156295","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4490705595","display_name":null,"funder_award_id":"IITP-2023-RS-2022-00156295","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G4700831490","display_name":null,"funder_award_id":"2022-","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379983874.pdf","grobid_xml":"https://content.openalex.org/works/W4379983874.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1572548701","https://openalex.org/W1974348882","https://openalex.org/W2102596261","https://openalex.org/W2109286911","https://openalex.org/W2113844397","https://openalex.org/W2123205250","https://openalex.org/W2141776905","https://openalex.org/W2770818364","https://openalex.org/W2968894924","https://openalex.org/W2970731090","https://openalex.org/W3128906727","https://openalex.org/W3169517138","https://openalex.org/W3199155356","https://openalex.org/W4210505961","https://openalex.org/W4212851193","https://openalex.org/W4237114408","https://openalex.org/W4312525198","https://openalex.org/W4323824494","https://openalex.org/W6675652195","https://openalex.org/W6677140251","https://openalex.org/W6767246738"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W1969346022","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"The":[0,40],"advanced":[1],"design":[2,53,59,86,171,199,215,238,252],"of":[3,16,43,51,178,248],"an":[4,95,137],"analog":[5],"mixed-signal":[6],"circuit":[7,70,148],"is":[8,190],"not":[9],"simple":[10],"enough":[11],"to":[12,47,66,79,100,126,130,136,142,192,217,246],"meet":[13],"the":[14,17,37,49,52,58,107,127,132,143,146,154,161,165,170,194,213,219,234,249],"requirements":[15],"performance":[18,91,221],"matrix":[19],"as":[20,22,169],"well":[21],"robust":[23],"operations":[24],"under":[25],"process-voltage-temperature":[26],"(PVT)":[27],"changes.":[28],"Even":[29],"commercial":[30],"products":[31],"demand":[32],"stringent":[33],"specifications":[34],"while":[35,88,164],"maintaining":[36],"system\u2019s":[38],"performance.":[39],"main":[41],"objectives":[42],"this":[44,184],"study":[45],"are":[46],"increase":[48],"efficiency":[50],"optimization":[54],"process":[55,60,110,172],"by":[56,227],"configuring":[57],"in":[61,160,244],"multiple":[62],"regression":[63,73,103,175,236],"modeling":[64,109],"stages,":[65],"characterize":[67],"our":[68],"target":[69],"into":[71,111],"a":[72,81,102,121,174,186,228,232],"model":[74,104,129,176],"including":[75],"PVT":[76],"variations,":[77],"and":[78,105,113,206],"enable":[80],"search":[82,152],"for":[83,153],"co-":[84,155],"optimum":[85,156],"points":[87],"simultaneously":[89],"checking":[90],"sensitivity.":[92],"We":[93],"used":[94],"artificial":[96],"neural":[97],"network":[98],"(ANN)":[99],"develop":[101],"divided":[106],"ANN":[108,128],"coarse":[112],"fine":[114],"simulation":[115],"steps.":[116],"In":[117,183],"addition,":[118],"we":[119,210],"applied":[120],"variational":[122],"autoencoder":[123],"(VAE)":[124],"structure":[125],"reduce":[131],"training":[133],"error":[134],"due":[135],"insufficient":[138],"input":[139],"sample.":[140],"According":[141],"proposed":[144,195,214,235],"algorithm,":[145],"AMS":[147],"designer":[149],"can":[150,224],"quickly":[151],"point,":[157],"which":[158],"results":[159,243],"best":[162,220],"performance,":[163],"least":[166],"sensitive":[167],"operation":[168],"uses":[173],"instead":[177],"launching":[179],"heavy":[180],"SPICE":[181],"simulations.":[182],"study,":[185],"voltage-controlled":[187],"oscillator":[188],"(VCO)":[189],"selected":[191],"prove":[193],"algorithm.":[196],"Under":[197],"various":[198],"conditions":[200],"(CMOS":[201],"180":[202],"nm,":[203,205],"65":[204],"45":[207],"nm":[208],"processes),":[209],"proceed":[211],"with":[212],"flow":[216,239],"obtain":[218],"score":[222],"that":[223,247],"be":[225],"evaluated":[226],"figure-of-merit":[229],"(FoM).":[230],"As":[231],"result,":[233],"model-based":[237],"achieves":[240],"twice":[241],"accurate":[242],"comparison":[245],"conventional":[250],"single-step":[251],"flow.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}