{"id":"https://openalex.org/W2169529948","doi":"https://doi.org/10.1109/icecs.2008.4674922","title":"A self-disable sense technique with differential NAND cell for content-addressable memories","display_name":"A self-disable sense technique with differential NAND cell for content-addressable memories","publication_year":2008,"publication_date":"2008-08-01","ids":{"openalex":"https://openalex.org/W2169529948","doi":"https://doi.org/10.1109/icecs.2008.4674922","mag":"2169529948"},"language":"en","primary_location":{"id":"doi:10.1109/icecs.2008.4674922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs.2008.4674922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Electronics, Circuits and Systems","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/A5102130557","display_name":"Chi\u2010Chun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chi-Chun Huang","raw_affiliation_strings":["Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102165011","display_name":"Jun-Han Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jun-Han Wu","raw_affiliation_strings":["Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077220045","display_name":"Chua\u2010Chin Wang","orcid":"https://orcid.org/0000-0002-2426-2879"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chua-Chin Wang","raw_affiliation_strings":["Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102130557"],"corresponding_institution_ids":["https://openalex.org/I142974352"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.17708121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"590","last_page":"593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sense-amplifier","display_name":"Sense amplifier","score":0.7578448057174683},{"id":"https://openalex.org/keywords/nand-gate","display_name":"NAND gate","score":0.7136964797973633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7096353769302368},{"id":"https://openalex.org/keywords/choke","display_name":"Choke","score":0.6235248446464539},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4983808994293213},{"id":"https://openalex.org/keywords/content-addressable-storage","display_name":"Content-addressable storage","score":0.47756344079971313},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4632189869880676},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46067556738853455},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.43996894359588623},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.4180285930633545},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3970106840133667},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.364289790391922},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.34738773107528687},{"id":"https://openalex.org/keywords/logic-gate","display_name":"Logic gate","score":0.27075451612472534},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.21718281507492065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16667219996452332},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15920907258987427},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.1438443660736084},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1283283829689026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09860286116600037}],"concepts":[{"id":"https://openalex.org/C32666082","wikidata":"https://www.wikidata.org/wiki/Q7450979","display_name":"Sense amplifier","level":3,"score":0.7578448057174683},{"id":"https://openalex.org/C124296912","wikidata":"https://www.wikidata.org/wiki/Q575178","display_name":"NAND gate","level":3,"score":0.7136964797973633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7096353769302368},{"id":"https://openalex.org/C29049376","wikidata":"https://www.wikidata.org/wiki/Q864746","display_name":"Choke","level":2,"score":0.6235248446464539},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4983808994293213},{"id":"https://openalex.org/C2778618852","wikidata":"https://www.wikidata.org/wiki/Q1128613","display_name":"Content-addressable storage","level":4,"score":0.47756344079971313},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4632189869880676},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46067556738853455},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.43996894359588623},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.4180285930633545},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3970106840133667},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.364289790391922},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.34738773107528687},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.27075451612472534},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.21718281507492065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16667219996452332},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15920907258987427},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.1438443660736084},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1283283829689026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09860286116600037},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecs.2008.4674922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs.2008.4674922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Electronics, Circuits and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310118","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10"},{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1646419119","https://openalex.org/W1982231668","https://openalex.org/W1997117014","https://openalex.org/W2000119008","https://openalex.org/W2078732484","https://openalex.org/W2099087448","https://openalex.org/W6637128988"],"related_works":["https://openalex.org/W1989420504","https://openalex.org/W2125477157","https://openalex.org/W4321273133","https://openalex.org/W3103704822","https://openalex.org/W2093404141","https://openalex.org/W2109692706","https://openalex.org/W2771357549","https://openalex.org/W2050720944","https://openalex.org/W2041845676","https://openalex.org/W2141145611"],"abstract_inverted_index":{"A":[0],"self-disable":[1],"sensing":[2],"technique":[3,100],"for":[4],"content-addressable":[5],"memories":[6],"(CAM)":[7],"is":[8,38,101,122],"presented":[9],"in":[10],"this":[11],"work.":[12],"The":[13,95,114],"proposed":[14,99],"differential":[15,59],"match-line":[16,60],"sense":[17],"amplifier":[18],"can":[19,61],"be":[20],"self":[21],"disabled":[22],"to":[23,85,103],"choke":[24],"the":[25,30,35,48,58,63,69,73,78,87,98,105,119],"charge":[26],"current":[27],"fed":[28],"into":[29],"match":[31],"line":[32],"right":[33],"after":[34],"comparison":[36,66,83],"result":[37],"generated.":[39],"Instead":[40],"of":[41,65,118],"using":[42,108],"typical":[43],"NOR/NAND":[44],"CAM":[45,55,75,96],"cells":[46],"with":[47,57,97],"single":[49],"ended":[50],"match-line,":[51],"a":[52,109],"novel":[53],"NAND":[54],"cell":[56,76],"increase":[62],"speed":[64],"without":[67],"sacrificing":[68],"power":[70],"consumption.":[71],"Besides,":[72],"13-T":[74],"provides":[77],"complete":[79],"write,":[80],"read,":[81],"and":[82,89],"functions":[84],"refresh":[86],"database":[88],"verify":[90],"its":[91],"correctness":[92],"before":[93],"searching.":[94],"realized":[102],"justify":[104],"performance":[106],"by":[107],"0.13":[110],"\u00b5m":[111],"CMOS":[112],"process.":[113],"average":[115],"energy":[116],"consumption":[117],"searching":[120],"process":[121],"1.584":[123],"fj/bit/search.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}