{"id":"https://openalex.org/W3197847559","doi":"https://doi.org/10.1145/3460569.3460571","title":"Using Auto-Encoder Neural Networks for Memory Fault Tolerance in Gesture Recognition System","display_name":"Using Auto-Encoder Neural Networks for Memory Fault Tolerance in Gesture Recognition System","publication_year":2021,"publication_date":"2021-03-19","ids":{"openalex":"https://openalex.org/W3197847559","doi":"https://doi.org/10.1145/3460569.3460571","mag":"3197847559"},"language":"en","primary_location":{"id":"doi:10.1145/3460569.3460571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460569.3460571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 6th International Conference on Mathematics and Artificial Intelligence","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/A5100335319","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0002-7863-9168"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo ZHANG","raw_affiliation_strings":["Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434028","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0003-2343-084X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei ZHANG","raw_affiliation_strings":["Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078377421","display_name":"Mojun Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mojun WU","raw_affiliation_strings":["Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100322651","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-3073-2590"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan WANG","raw_affiliation_strings":["Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100335319"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.1003,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43079712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9955000281333923,"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":0.9955000281333923,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9704999923706055,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9690999984741211,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.7699161767959595},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6547811031341553},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5553553700447083},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5475229024887085},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.5250703692436218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5128384232521057},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.46078455448150635},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42151832580566406},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3787640333175659},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.357637882232666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7699161767959595},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6547811031341553},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5553553700447083},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5475229024887085},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.5250703692436218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5128384232521057},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.46078455448150635},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42151832580566406},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3787640333175659},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.357637882232666},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460569.3460571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460569.3460571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 6th International Conference on Mathematics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"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":20,"referenced_works":["https://openalex.org/W1504755800","https://openalex.org/W2025474944","https://openalex.org/W2025768430","https://openalex.org/W2109933221","https://openalex.org/W2136655611","https://openalex.org/W2154997814","https://openalex.org/W2175377689","https://openalex.org/W2321627895","https://openalex.org/W2322381843","https://openalex.org/W2536305597","https://openalex.org/W2595328592","https://openalex.org/W2773339846","https://openalex.org/W2884687835","https://openalex.org/W2900599858","https://openalex.org/W2953267151","https://openalex.org/W2965129158","https://openalex.org/W2997574889","https://openalex.org/W3015038791","https://openalex.org/W4231109964","https://openalex.org/W4241421037"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"Data":[0],"faults":[1,25,57,128],"and":[2,9,97,105,143],"retention":[3],"characteristics":[4],"in":[5,11,44,64,86,129],"memories":[6,59],"induce":[7],"inaccuracy":[8],"failure":[10],"conventional":[12],"electronic":[13],"systems.":[14],"While":[15],"intelligent":[16],"hardware":[17],"which":[18],"using":[19,35],"AI":[20],"algorithms":[21],"can":[22],"tolerate":[23],"these":[24,114],"with":[26,60],"the":[27,55,74,80,140,145,148],"advantage":[28],"of":[29,58,82,122,134,147],"neural":[30,38,84,94],"network.":[31],"This":[32,52],"paper":[33,53],"proposes":[34],"auto-encoder":[36],"(AE)":[37],"networks":[39],"for":[40],"memory":[41],"fault":[42],"tolerance":[43],"gesture":[45,87,107,152],"recognition":[46,88,108,120,153],"system":[47],"based":[48,112,151],"on":[49,113],"RF":[50,103,130,150],"sensors.":[51],"models":[54],"data":[56],"defects":[61],"or":[62],"operating":[63],"ultra-low":[65],"power":[66,141],"state":[67],"by":[68],"a":[69,119],"binary-type":[70],"noise":[71],"distribution.":[72],"Then":[73],"model":[75],"is":[76,110,137],"used":[77],"to":[78,138],"test":[79],"effect":[81],"AE":[83,93],"network":[85,95],"algorithm.":[89],"Experimental":[90],"results":[91],"show":[92],"compress":[96],"extract":[98],"useful":[99],"features":[100],"from":[101],"noisy":[102],"images,":[104],"higher":[106],"accuracy":[109,121],"achieved":[111],"features.":[115],"The":[116,132],"algorithm":[117],"achieves":[118],"93%":[123],"considering":[124],"20%":[125],"bit":[126],"level":[127],"images.":[131],"purpose":[133],"this":[135],"method":[136],"reduce":[139],"consumption":[142],"improve":[144],"yield":[146],"embedded":[149],"chip.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}