{"id":"https://openalex.org/W2917622850","doi":"https://doi.org/10.1109/isocc.2018.8649978","title":"Estimation of Leakage Distribution Utilizing Gaussian Mixture Model","display_name":"Estimation of Leakage Distribution Utilizing Gaussian Mixture Model","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2917622850","doi":"https://doi.org/10.1109/isocc.2018.8649978","mag":"2917622850"},"language":"en","primary_location":{"id":"doi:10.1109/isocc.2018.8649978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc.2018.8649978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International SoC Design Conference (ISOCC)","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/A5016623231","display_name":"Hyunjeong Kwon","orcid":"https://orcid.org/0000-0003-3356-0357"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyunjeong Kwon","raw_affiliation_strings":["Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100617710","display_name":"Young Hwan Kim","orcid":"https://orcid.org/0000-0002-5532-610X"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young Hwan Kim","raw_affiliation_strings":["Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044543389","display_name":"Seokhyeong Kang","orcid":"https://orcid.org/0000-0003-3015-1806"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seokhyeong Kang","raw_affiliation_strings":["Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016623231"],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17388696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"57","issue":null,"first_page":"149","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","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"}},"topics":[{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","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/T12404","display_name":"Mathematical Approximation and Integration","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9940999746322632,"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/mixture-model","display_name":"Mixture model","score":0.7368100881576538},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.6895173788070679},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5891347527503967},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5296556353569031},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4690100848674774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46432632207870483},{"id":"https://openalex.org/keywords/mixture-distribution","display_name":"Mixture distribution","score":0.4249197244644165},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38055482506752014},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35061025619506836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33471089601516724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30356425046920776},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.29333728551864624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23959076404571533},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11509254574775696}],"concepts":[{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.7368100881576538},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.6895173788070679},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5891347527503967},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5296556353569031},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4690100848674774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46432632207870483},{"id":"https://openalex.org/C56672385","wikidata":"https://www.wikidata.org/wiki/Q17157111","display_name":"Mixture distribution","level":3,"score":0.4249197244644165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38055482506752014},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35061025619506836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33471089601516724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30356425046920776},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.29333728551864624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23959076404571533},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11509254574775696},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isocc.2018.8649978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc.2018.8649978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International SoC Design Conference (ISOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1980164777","https://openalex.org/W1998233747","https://openalex.org/W2026465639","https://openalex.org/W2048092465","https://openalex.org/W2093625674","https://openalex.org/W6662878164"],"related_works":["https://openalex.org/W2198732287","https://openalex.org/W4287816759","https://openalex.org/W2044981176","https://openalex.org/W2598185551","https://openalex.org/W2017090935","https://openalex.org/W2116212858","https://openalex.org/W2032556230","https://openalex.org/W2372918136","https://openalex.org/W3119669586","https://openalex.org/W1578916557"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,21],"novel":[6],"method":[7,25,73,90],"which":[8,37],"utilizes":[9],"the":[10,17,28,35,44,48,52,56,66,71,87],"Gaussian":[11],"Mixture":[12],"Model":[13],"(GMM)":[14],"to":[15,86],"estimate":[16],"leakage":[18,29,49,53],"distribution":[19,30,54],"of":[20,55],"circuit.":[22],"Our":[23],"proposed":[24,72],"assumes":[26],"that":[27,70],"can":[31,38,59],"be":[32,60],"represented":[33],"using":[34,47],"GMM":[36,45],"cover":[39],"any":[40],"continuous":[41],"function.":[42],"After":[43],"clustering":[46],"simulation":[50],"data,":[51],"input":[57],"circuit":[58],"obtained.":[61],"The":[62],"experimental":[63],"results":[64],"with":[65],"K-S":[67,83],"test":[68],"showed":[69],"exhibited":[74],"1.82e+05":[75],"times":[76,81],"larger":[77],"p-value":[78],"and":[79],"7.74e-01":[80],"smaller":[82],"statistics":[84],"compared":[85],"state-of-the-art":[88],"benchmark":[89],"on":[91],"average.":[92]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
