{"id":"https://openalex.org/W2126377434","doi":"https://doi.org/10.1145/1057661.1057747","title":"Dual-transition glitch filtering in probabilistic waveform power estimation","display_name":"Dual-transition glitch filtering in probabilistic waveform power estimation","publication_year":2005,"publication_date":"2005-04-17","ids":{"openalex":"https://openalex.org/W2126377434","doi":"https://doi.org/10.1145/1057661.1057747","mag":"2126377434"},"language":"en","primary_location":{"id":"doi:10.1145/1057661.1057747","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1057661.1057747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM Great Lakes symposium on VLSI","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/A5050085003","display_name":"Fei Hu","orcid":"https://orcid.org/0000-0003-4346-9477"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fei Hu","raw_affiliation_strings":["Auburn University, AL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University, AL","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084081268","display_name":"Vishwani D. Agrawal","orcid":"https://orcid.org/0000-0002-7121-5979"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vishwani D. Agrawal","raw_affiliation_strings":["Auburn University, AL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University, AL","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82497590"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"357","last_page":"360"},"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":0.9998000264167786,"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/T10363","display_name":"Low-power high-performance VLSI design","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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/glitch","display_name":"Glitch","score":0.890473484992981},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7179990410804749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6076017618179321},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.5937528014183044},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5142685770988464},{"id":"https://openalex.org/keywords/dynamic-demand","display_name":"Dynamic demand","score":0.4172770380973816},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4034135341644287},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3681012988090515},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.36666327714920044},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16767850518226624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13904786109924316}],"concepts":[{"id":"https://openalex.org/C191287063","wikidata":"https://www.wikidata.org/wiki/Q543281","display_name":"Glitch","level":3,"score":0.890473484992981},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7179990410804749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6076017618179321},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.5937528014183044},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5142685770988464},{"id":"https://openalex.org/C45872418","wikidata":"https://www.wikidata.org/wiki/Q5318966","display_name":"Dynamic demand","level":3,"score":0.4172770380973816},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4034135341644287},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3681012988090515},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.36666327714920044},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16767850518226624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13904786109924316},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1057661.1057747","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1057661.1057747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM Great Lakes symposium on VLSI","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.117.1813","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.1813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eng.auburn.edu/~vagrawal/TALKS/p357_Hu.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.146.3744","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.146.3744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eng.auburn.edu/~vagrawal/TALKS/P184-Hu.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.49000000953674316,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W166085305","https://openalex.org/W1508911948","https://openalex.org/W1724397848","https://openalex.org/W1995193945","https://openalex.org/W2038704324","https://openalex.org/W2111589882","https://openalex.org/W2129880880","https://openalex.org/W2133784609","https://openalex.org/W2137917061","https://openalex.org/W2145508066","https://openalex.org/W2162211138","https://openalex.org/W2165212115","https://openalex.org/W2169033838"],"related_works":["https://openalex.org/W2140328632","https://openalex.org/W1924321845","https://openalex.org/W2128701724","https://openalex.org/W2143613979","https://openalex.org/W2907734402","https://openalex.org/W3145257115","https://openalex.org/W2146258491","https://openalex.org/W2035744377","https://openalex.org/W2125272903","https://openalex.org/W2084499947"],"abstract_inverted_index":{"Existing":[0],"gate-level":[1],"probabilistic":[2,71],"approaches":[3],"to":[4,8,101],"power":[5,24,37,43,89],"estimation":[6,38,107],"fail":[7],"accurately":[9],"model":[10],"the":[11,23,53,58,74,83,106],"glitch":[12,49,98],"filtering":[13,50],"by":[14,82],"inertial":[15],"delays.":[16],"This":[17],"effect":[18],"has":[19],"an":[20],"impact":[21],"on":[22],"dissipation":[25],"of":[26,39,60,97],"a":[27,47,61,94],"circuit":[28],"and":[29,73],"should":[30],"not":[31],"be":[32],"neglected,":[33],"especially":[34],"for":[35],"dynamic":[36,42],"circuits":[40,92],"with":[41,93],"optimization.":[44],"We":[45],"propose":[46],"new":[48],"analysis":[51],"using":[52],"dual-transition":[54,84],"probability":[55,76],"that":[56,70],"captures":[57],"states":[59],"node":[62],"at":[63],"two":[64],"different":[65],"time":[66],"instances.":[67],"Experiments":[68],"show":[69],"simulation":[72,77],"tagged":[75],"(TPS)":[78],"techniques,":[79],"when":[80],"enhanced":[81],"analysis,":[85],"provide":[86],"more":[87],"consistent":[88],"estimation.":[90],"For":[91],"large":[95],"component":[96],"power,":[99],"up":[100],"29":[102],"%":[103],"improvement":[104],"in":[105],"accuracy":[108],"is":[109],"obtained.":[110]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}