{"id":"https://openalex.org/W4319430885","doi":"https://doi.org/10.1109/isocc56007.2022.10031497","title":"Lightweighted AI-based Inference using Deterministic Randomness Compensation for Microcontroller ADC Resolution Enhancement","display_name":"Lightweighted AI-based Inference using Deterministic Randomness Compensation for Microcontroller ADC Resolution Enhancement","publication_year":2022,"publication_date":"2022-10-19","ids":{"openalex":"https://openalex.org/W4319430885","doi":"https://doi.org/10.1109/isocc56007.2022.10031497"},"language":"en","primary_location":{"id":"doi:10.1109/isocc56007.2022.10031497","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isocc56007.2022.10031497","pdf_url":null,"source":{"id":"https://openalex.org/S4363608048","display_name":"2022 19th International SoC Design Conference (ISOCC)","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 19th International SoC Design Conference (ISOCC)","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/A5023061567","display_name":"Jisu Kwon","orcid":"https://orcid.org/0000-0002-0433-9533"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jisu Kwon","raw_affiliation_strings":["School of Electronic and Electrical Engineering Kyungpook National University,Daegu,Republic of Korea,41566"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering Kyungpook National University,Daegu,Republic of Korea,41566","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030304824","display_name":"Daejin Park","orcid":"https://orcid.org/0000-0002-5560-873X"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daejin Park","raw_affiliation_strings":["School of Electronic and Electrical Engineering Kyungpook National University,Daegu,Republic of Korea,41566","School of Electronics Engineering, Kyungpook National University, Daegu, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering Kyungpook National University,Daegu,Republic of Korea,41566","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"School of Electronics Engineering, Kyungpook National University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32853336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"368","last_page":"369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9988999962806702,"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/T10320","display_name":"Neural Networks and Applications","score":0.9983000159263611,"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/computer-science","display_name":"Computer science","score":0.7058800458908081},{"id":"https://openalex.org/keywords/microcontroller","display_name":"Microcontroller","score":0.6339473128318787},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.6229695081710815},{"id":"https://openalex.org/keywords/effective-number-of-bits","display_name":"Effective number of bits","score":0.6178011298179626},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5290328860282898},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.4482382833957672},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4384310841560364},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.370068222284317},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1648615002632141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11591780185699463},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.09767183661460876}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7058800458908081},{"id":"https://openalex.org/C173018170","wikidata":"https://www.wikidata.org/wiki/Q165678","display_name":"Microcontroller","level":2,"score":0.6339473128318787},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6229695081710815},{"id":"https://openalex.org/C16671190","wikidata":"https://www.wikidata.org/wiki/Q505579","display_name":"Effective number of bits","level":3,"score":0.6178011298179626},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5290328860282898},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.4482382833957672},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4384310841560364},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.370068222284317},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1648615002632141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11591780185699463},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.09767183661460876},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isocc56007.2022.10031497","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isocc56007.2022.10031497","pdf_url":null,"source":{"id":"https://openalex.org/S4363608048","display_name":"2022 19th International SoC Design Conference (ISOCC)","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 19th International SoC Design Conference (ISOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2112683738","https://openalex.org/W2230139919","https://openalex.org/W2810514260","https://openalex.org/W4232781007","https://openalex.org/W6689385875"],"related_works":["https://openalex.org/W2135927294","https://openalex.org/W1971842288","https://openalex.org/W2036729721","https://openalex.org/W2800004760","https://openalex.org/W2089988144","https://openalex.org/W1985703800","https://openalex.org/W1972388196","https://openalex.org/W2347749188","https://openalex.org/W2735419558","https://openalex.org/W4302313182"],"abstract_inverted_index":{"Typically,":[0],"circuits":[1],"had":[2],"to":[3,9,48,115,119],"be":[4,95,111],"designed":[5,20],"at":[6,33],"high":[7,35],"cost":[8],"prevent":[10],"irregular":[11],"and":[12,92],"random":[13],"noise.":[14,127],"This":[15],"paper":[16],"combines":[17],"a":[18,23,30,34,78],"lowcost":[19],"part":[21],"with":[22],"lightweight":[24],"compensation":[25,108],"technique,":[26],"instead":[27],"of":[28],"designing":[29],"noise-tolerant":[31],"circuit":[32],"cost.":[36],"Technique":[37],"that":[38,122],"using":[39],"compensate":[40,53,67],"program":[41],"in":[42,63,97],"embedded":[43,64,106],"system":[44,107],"has":[45],"been":[46],"applied":[47,112],"ADC":[49,54,88],"case":[50],"study":[51],"for":[52,68],"output":[55],"like":[56],"as":[57,77],"ideal.":[58],"The":[59,82,105],"proposed":[60,83],"technique":[61,84,109],"implemented":[62],"systems":[65],"can":[66,94,110],"deterministic":[69,126],"noise":[70],"operating":[71],"on":[72],"static":[73],"hardware":[74,121],"(i.e.,":[75],"ADC)":[76],"very":[79],"small":[80],"resource.":[81],"improves":[85],"the":[86],"10-bit":[87],"ENOB":[89],"by":[90],"0.27,":[91],"it":[93],"used":[96],"only":[98,114],"3.3%":[99],"additional":[100],"power":[101],"consumption":[102],"from":[103],"ADC.":[104],"not":[113],"ADCs,":[116],"but":[117],"also":[118],"various":[120],"include":[123],"human":[124],"uninterpretable":[125]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}