{"id":"https://openalex.org/W4411726569","doi":"https://doi.org/10.1109/iscas56072.2025.11043291","title":"Ultra-low Power Current Mode Distance Calculation Circuit for K-Means Clustering","display_name":"Ultra-low Power Current Mode Distance Calculation Circuit for K-Means Clustering","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411726569","doi":"https://doi.org/10.1109/iscas56072.2025.11043291"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11043291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5118664313","display_name":"Nishant Biyani","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]},{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nishant Biyani","raw_affiliation_strings":["Northeastern University,Dept.of Electrical Engineering,Boston,USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Dept.of Electrical Engineering,Boston,USA","institution_ids":["https://openalex.org/I12912129","https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011216855","display_name":"Dimitar Dimitrov","orcid":"https://orcid.org/0000-0003-2181-2799"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]},{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitar Dimitrov","raw_affiliation_strings":["Northeastern University,Dept.of Electrical Engineering,Boston,USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Dept.of Electrical Engineering,Boston,USA","institution_ids":["https://openalex.org/I12912129","https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020694155","display_name":"Aatmesh Shrivastava","orcid":"https://orcid.org/0000-0002-5738-9868"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aatmesh Shrivastava","raw_affiliation_strings":["Northeastern University,Dept.of Electrical Engineering,Boston,USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Dept.of Electrical Engineering,Boston,USA","institution_ids":["https://openalex.org/I12912129","https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5118664313"],"corresponding_institution_ids":["https://openalex.org/I111088046","https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08178805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9254000186920166,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9254000186920166,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6380927562713623},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.5895591974258423},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5845479369163513},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.5619457364082336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5411431789398193},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5280906558036804},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.34635108709335327},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.27066153287887573},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17468926310539246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1045432984828949}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6380927562713623},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.5895591974258423},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5845479369163513},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.5619457364082336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5411431789398193},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5280906558036804},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.34635108709335327},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.27066153287887573},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17468926310539246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1045432984828949},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11043291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1967171495","https://openalex.org/W2006348171","https://openalex.org/W2058715873","https://openalex.org/W2076058584","https://openalex.org/W2106581202","https://openalex.org/W2134380836","https://openalex.org/W2150593711","https://openalex.org/W2278730326","https://openalex.org/W2519709540","https://openalex.org/W2532478580","https://openalex.org/W2561954224","https://openalex.org/W2587991548","https://openalex.org/W2801723981","https://openalex.org/W2945315793","https://openalex.org/W2948661249","https://openalex.org/W2963174546","https://openalex.org/W2975391911","https://openalex.org/W2994140543","https://openalex.org/W3185337636","https://openalex.org/W4225834261"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W1982412832"],"abstract_inverted_index":{"K-means":[0,38,91],"clustering":[1,39,92],"algorithm":[2,40,93],"partitions":[3],"data":[4],"into":[5],"k":[6],"unique":[7],"and":[8,59,77,109],"non-overlapping":[9],"sets.":[10],"Although":[11],"the":[12,34,37,97],"method":[13],"primarily":[14],"uses":[15],"Euclidean":[16,47],"distance,":[17],"dissimilarity":[18],"within":[19,69],"datasets":[20],"can":[21],"be":[22],"assessed":[23,87],"using":[24,41,88],"a":[25,70,89,103,110,123],"variety":[26],"of":[27,36,67,106],"metrics.":[28],"This":[29],"paper":[30],"focuses":[31],"on":[32,96],"assessing":[33],"performance":[35,85],"three":[42],"distinct":[43],"distance":[44,57],"metrics:":[45],"(i)":[46],"distance(L2<sup":[48],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[49],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[50],"norm),":[51],"(ii)":[52],"A":[53],"proposed":[54],"circuit":[55],"design":[56,73,127],"metric,":[58],"(iii)":[60],"Manhattan":[61],"distance(L2norm).":[62],"However,":[63],"integrating":[64],"this":[65],"type":[66],"functionality":[68],"traditional":[71],"CMOS":[72,126,132],"demands":[74],"expensive":[75],"hardware":[76],"results":[78],"in":[79,128],"considerable":[80],"power":[81,111],"consumption.":[82],"The":[83],"design\u2019s":[84],"was":[86],"standard":[90],"with":[94],"K=4":[95],"\"Iris":[98],"flower":[99],"dataset\".":[100],"Findings":[101],"indicate":[102],"classification":[104],"throughput":[105],"500":[107],"ns":[108],"consumption":[112,120],"below":[113],"1":[114],"\u03bcW,":[115],"achieving":[116],"significantly":[117],"lower":[118],"energy":[119],"compared":[121],"to":[122],"conventional":[124],"digital":[125],"65":[129],"nm":[130],"commercial":[131],"technology.":[133]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}