{"id":"https://openalex.org/W3113682720","doi":"https://doi.org/10.1109/icecs49266.2020.9294802","title":"Defect-Resilient Memristor Crossbar of Hierarchical Temporal Memory (HTM) Spatial Pooling for Near-IoT-Sensor Cognitive Computing","display_name":"Defect-Resilient Memristor Crossbar of Hierarchical Temporal Memory (HTM) Spatial Pooling for Near-IoT-Sensor Cognitive Computing","publication_year":2020,"publication_date":"2020-11-23","ids":{"openalex":"https://openalex.org/W3113682720","doi":"https://doi.org/10.1109/icecs49266.2020.9294802","mag":"3113682720"},"language":"en","primary_location":{"id":"doi:10.1109/icecs49266.2020.9294802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs49266.2020.9294802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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/A5101849920","display_name":"Tien Van Nguyen","orcid":"https://orcid.org/0000-0002-2710-768X"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tien Van Nguyen","raw_affiliation_strings":["School of Electrical Engineering, Kookmin University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, Seoul, Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063470952","display_name":"Ngoc-Thanh Le","orcid":null},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ngoc-Thanh Le","raw_affiliation_strings":["School of Electrical Engineering, Kookmin University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, Seoul, Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102735478","display_name":"Jiyong An","orcid":"https://orcid.org/0000-0003-3793-028X"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiyong An","raw_affiliation_strings":["School of Electrical Engineering, Kookmin University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, Seoul, Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063226833","display_name":"Kyeong\u2010Sik Min","orcid":"https://orcid.org/0000-0002-1518-7037"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyeong-Sik Min","raw_affiliation_strings":["School of Electrical Engineering, Kookmin University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, Seoul, Korea","institution_ids":["https://openalex.org/I110273157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I110273157"],"apc_list":null,"apc_paid":null,"fwci":0.3578,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.51847533,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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":1.0,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9968000054359436,"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/T11128","display_name":"Transition Metal Oxide Nanomaterials","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.8911049365997314},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7448089718818665},{"id":"https://openalex.org/keywords/crossbar-switch","display_name":"Crossbar switch","score":0.7331875562667847},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7233378887176514},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5344839096069336},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.4984428882598877},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.44457772374153137},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.44358113408088684},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.4308270514011383},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.37000128626823425},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3243173360824585},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2795151472091675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24867099523544312},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23808538913726807},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.13118866086006165},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10938289761543274},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0852297842502594},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08239391446113586}],"concepts":[{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.8911049365997314},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7448089718818665},{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.7331875562667847},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7233378887176514},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5344839096069336},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.4984428882598877},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.44457772374153137},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.44358113408088684},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.4308270514011383},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.37000128626823425},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3243173360824585},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2795151472091675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24867099523544312},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23808538913726807},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.13118866086006165},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10938289761543274},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0852297842502594},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08239391446113586}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecs49266.2020.9294802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs49266.2020.9294802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8600000143051147}],"awards":[{"id":"https://openalex.org/G4105411035","display_name":null,"funder_award_id":"2015R1A5A7037615","funder_id":"https://openalex.org/F4320309788","funder_display_name":"Neurosciences Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320309788","display_name":"Neurosciences Research Foundation","ror":"https://ror.org/05exfab56"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2080564856","https://openalex.org/W2621466894","https://openalex.org/W2775771159","https://openalex.org/W2792509214","https://openalex.org/W2921018545","https://openalex.org/W2955103925"],"related_works":["https://openalex.org/W3137378424","https://openalex.org/W2809732489","https://openalex.org/W1872623660","https://openalex.org/W3207218810","https://openalex.org/W4292697011","https://openalex.org/W4287780255","https://openalex.org/W3212508523","https://openalex.org/W3023361272","https://openalex.org/W1995352804","https://openalex.org/W2909534142"],"abstract_inverted_index":{"A":[0],"huge":[1],"amount":[2,28,52],"of":[3,11,21,29,53,86,103,116],"IoT-sensor":[4],"data":[5,54],"may":[6],"threaten":[7],"a":[8,32],"capacity":[9],"limitation":[10],"cloud":[12,22,58],"computing":[13,23],"in":[14,120],"near":[15,126],"future.":[16],"To":[17],"mitigate":[18],"computation":[19],"burden":[20],"due":[24],"to":[25,56,68,131],"the":[26,51,57,97,113],"massive":[27],"sensed":[30],"data,":[31],"memristor":[33,101,118,124,132],"crossbar":[34,119],"for":[35,44,79,96],"Hierarchical":[36],"Temporal":[37],"Memory":[38],"(HTM)":[39],"spatial-pooling":[40,117],"can":[41,60],"be":[42,61],"considered":[43],"energy-efficient":[45],"near-IoT-sensor":[46],"computing.":[47],"By":[48],"doing":[49],"so,":[50],"sent":[55],"server":[59],"reduced":[62],"significantly":[63],"from":[64],"784":[65],"gray":[66],"pixels":[67],"400":[69],"Sparse":[70],"Distributed":[71],"Representation":[72],"(SDR)":[73],"bits":[74,78],"or":[75],"256":[76],"SDR":[77],"processing":[80],"MNIST":[81],"hand-written":[82],"digits.":[83],"The":[84],"loss":[85],"recognition":[87],"rate":[88],"is":[89],"as":[90,92,135],"little":[91],"2.48%":[93],"and":[94,99,111],"1.93%":[95],"256-column":[98],"400-column":[100],"crossbars":[102,125],"spatial-pooling,":[104],"respectively.":[105],"In":[106],"addition,":[107],"we":[108],"have":[109],"tested":[110],"verified":[112],"defect-resilience":[114],"scheme":[115],"this":[121],"paper,":[122],"because":[123],"IoT":[127],"sensor":[128],"are":[129],"vulnerable":[130],"defects":[133],"such":[134],"stuck-at-faults,":[136],"resistance":[137],"variations,":[138],"etc.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
