{"id":"https://openalex.org/W3039148603","doi":"https://doi.org/10.1109/vtc2020-spring48590.2020.9128611","title":"An Autonomous Error-Tolerant Architecture Featuring Self-reparation for Convolutional Neural Networks","display_name":"An Autonomous Error-Tolerant Architecture Featuring Self-reparation for Convolutional Neural Networks","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3039148603","doi":"https://doi.org/10.1109/vtc2020-spring48590.2020.9128611","mag":"3039148603"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2020-spring48590.2020.9128611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2020-spring48590.2020.9128611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","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/A5020903138","display_name":"Lizheng Liu","orcid":"https://orcid.org/0000-0002-6554-2041"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizheng Liu","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006594466","display_name":"Yuxiang Huan","orcid":"https://orcid.org/0000-0002-9155-1451"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Huan","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043039025","display_name":"Zhuo Zou","orcid":"https://orcid.org/0000-0002-8546-1329"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Zou","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001689889","display_name":"Xiaoming Hu","orcid":"https://orcid.org/0000-0003-0177-1993"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Xiaoming Hu","raw_affiliation_strings":["Optimization and System Theory Department of Mathematics, Royal Institute of Technology (KTH), Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Optimization and System Theory Department of Mathematics, Royal Institute of Technology (KTH), Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101565820","display_name":"Li\u2010Rong Zheng","orcid":"https://orcid.org/0000-0001-9588-0239"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lirong Zheng","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9995999932289124,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9995999932289124,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9965999722480774,"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/T11005","display_name":"Radiation Effects in Electronics","score":0.996399998664856,"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":0.8507288694381714},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7454090118408203},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.7199690937995911},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.5542223453521729},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.5155413150787354},{"id":"https://openalex.org/keywords/control-reconfiguration","display_name":"Control reconfiguration","score":0.4912673830986023},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4890178143978119},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.46393969655036926},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43749234080314636},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.42998069524765015},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.42727792263031006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.407642662525177},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37214750051498413},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2656739354133606},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2522996962070465},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10397043824195862}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8507288694381714},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7454090118408203},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.7199690937995911},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.5542223453521729},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.5155413150787354},{"id":"https://openalex.org/C119701452","wikidata":"https://www.wikidata.org/wiki/Q5165881","display_name":"Control reconfiguration","level":2,"score":0.4912673830986023},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4890178143978119},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.46393969655036926},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43749234080314636},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.42998069524765015},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.42727792263031006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.407642662525177},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37214750051498413},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2656739354133606},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2522996962070465},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10397043824195862},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2020-spring48590.2020.9128611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2020-spring48590.2020.9128611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1005811612","https://openalex.org/W1667652561","https://openalex.org/W1885641908","https://openalex.org/W2067523571","https://openalex.org/W2094756095","https://openalex.org/W2106375846","https://openalex.org/W2112796928","https://openalex.org/W2113929681","https://openalex.org/W2125979140","https://openalex.org/W2143335496","https://openalex.org/W2180612164","https://openalex.org/W2243397390","https://openalex.org/W2276486856","https://openalex.org/W2531751603","https://openalex.org/W2728904777","https://openalex.org/W2756437767","https://openalex.org/W2769815320","https://openalex.org/W2776926928","https://openalex.org/W2810056767","https://openalex.org/W2899135085","https://openalex.org/W2963389226","https://openalex.org/W2963857521","https://openalex.org/W3101558675","https://openalex.org/W4302296459","https://openalex.org/W6637151318","https://openalex.org/W6729756640"],"related_works":["https://openalex.org/W1981002473","https://openalex.org/W2357657342","https://openalex.org/W2153432761","https://openalex.org/W2152623100","https://openalex.org/W4214878056","https://openalex.org/W2130594209","https://openalex.org/W1950809481","https://openalex.org/W2085988155","https://openalex.org/W2116314988","https://openalex.org/W3131277441"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,19,76,139],"networks":[2],"are":[3,27,33,89],"widely":[4],"used":[5],"in":[6,42],"artificial":[7],"intelligence":[8],"and":[9,23,38,63,114,124,141],"Internet":[10],"of":[11,17,45,87,150],"Things":[12],"area.":[13],"As":[14],"the":[15,46,59,79,84,92,102,125,148,152],"scale":[16],"convolutional":[18,75,138],"network":[20,47,85,116,140],"expands,":[21],"more":[22,24,61],"processing":[25],"units":[26],"provided":[28],"for":[29,74,137],"it.":[30],"The":[31],"systems":[32,60],"easy":[34],"prone":[35],"to":[36,50,100,110],"error,":[37],"any":[39,43],"computing":[40],"problems":[41],"layer":[44],"will":[48],"lead":[49],"wrong":[51],"output":[52],"results.":[53],"Traditional":[54],"multimode":[55],"redundancy":[56],"methods":[57],"make":[58],"complex,":[62],"increase":[64],"power":[65],"consumption.":[66],"This":[67,118],"paper":[68],"proposes":[69],"an":[70,82,95,104],"autonomous":[71],"error-tolerant":[72,96],"architecture":[73,131],"networks.":[77],"Taking":[78],"LeNet-5":[80],"as":[81],"example,":[83],"layers":[86],"CNN":[88],"mapped":[90],"on":[91,122],"AET":[93],"architecture,":[94],"synapse":[97],"is":[98,108,120],"designed":[99,109],"discover":[101],"errors,":[103],"active":[105],"evolution":[106],"scheme":[107],"handle":[111],"unrecoverable":[112],"errors":[113],"implement":[115],"reconfiguration.":[117],"design":[119],"implemented":[121],"FPGA,":[123],"experimental":[126],"results":[127],"show":[128],"that":[129],"this":[130],"can":[132],"realize":[133],"effective":[134],"error":[135,144],"tolerance":[136],"has":[142],"fast":[143],"recovery":[145],"ability":[146],"under":[147],"premise":[149],"ensuring":[151],"same":[153],"recognition":[154],"accuracy.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}