{"id":"https://openalex.org/W2910690168","doi":"https://doi.org/10.1109/dft.2018.8602967","title":"Postprocessing Procedure for Reducing the Faulty Switching Activity of a Low-Power Test Set","display_name":"Postprocessing Procedure for Reducing the Faulty Switching Activity of a Low-Power Test Set","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2910690168","doi":"https://doi.org/10.1109/dft.2018.8602967","mag":"2910690168"},"language":"en","primary_location":{"id":"doi:10.1109/dft.2018.8602967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dft.2018.8602967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)","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/A5032651920","display_name":"Irith Pomeranz","orcid":"https://orcid.org/0000-0002-5491-7282"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Irith Pomeranz","raw_affiliation_strings":["School of ECE, Purdue University, West Lafayette, IN, U.S.A"],"affiliations":[{"raw_affiliation_string":"School of ECE, Purdue University, West Lafayette, IN, U.S.A","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032651920"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.2525,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54192129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":1.0,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9998999834060669,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9799000024795532,"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/benchmark","display_name":"Benchmark (surveying)","score":0.6931164264678955},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.6118094325065613},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.6074519157409668},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5974936485290527},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5685372352600098},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5678113698959351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5623992681503296},{"id":"https://openalex.org/keywords/automatic-test-pattern-generation","display_name":"Automatic test pattern generation","score":0.5459014177322388},{"id":"https://openalex.org/keywords/fault-coverage","display_name":"Fault coverage","score":0.5156249403953552},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5108051300048828},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.44306379556655884},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3546332120895386},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.12093865871429443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07804566621780396}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6931164264678955},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.6118094325065613},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.6074519157409668},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5974936485290527},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5685372352600098},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5678113698959351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5623992681503296},{"id":"https://openalex.org/C17626397","wikidata":"https://www.wikidata.org/wiki/Q837455","display_name":"Automatic test pattern generation","level":3,"score":0.5459014177322388},{"id":"https://openalex.org/C126953365","wikidata":"https://www.wikidata.org/wiki/Q5438152","display_name":"Fault coverage","level":3,"score":0.5156249403953552},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5108051300048828},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.44306379556655884},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3546332120895386},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.12093865871429443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07804566621780396},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"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},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dft.2018.8602967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dft.2018.8602967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)","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":26,"referenced_works":["https://openalex.org/W1568407911","https://openalex.org/W1590079402","https://openalex.org/W1976944456","https://openalex.org/W1980499623","https://openalex.org/W1988075706","https://openalex.org/W1999788907","https://openalex.org/W2039868523","https://openalex.org/W2063461655","https://openalex.org/W2076315286","https://openalex.org/W2078274140","https://openalex.org/W2097923428","https://openalex.org/W2106303764","https://openalex.org/W2112651657","https://openalex.org/W2116957391","https://openalex.org/W2125734620","https://openalex.org/W2127183717","https://openalex.org/W2136567303","https://openalex.org/W2139234345","https://openalex.org/W2150448461","https://openalex.org/W2160621850","https://openalex.org/W2171655993","https://openalex.org/W2295324164","https://openalex.org/W2563760267","https://openalex.org/W3210820645","https://openalex.org/W4240748072","https://openalex.org/W4256421479"],"related_works":["https://openalex.org/W2091833418","https://openalex.org/W1991935474","https://openalex.org/W2091533492","https://openalex.org/W2129713538","https://openalex.org/W2341817401","https://openalex.org/W2408214455","https://openalex.org/W1953724919","https://openalex.org/W1493811107","https://openalex.org/W2128148266","https://openalex.org/W3038280805"],"abstract_inverted_index":{"Low-power":[0],"test":[1,51,71,133,154],"generation":[2],"procedures":[3,28],"reduce":[4],"the":[5,31,34,65,86,94,109,141,144],"switching":[6,24,43,66,95,111,124,150],"activity":[7,25,44,67,96,112,151],"during":[8],"functional":[9],"capture":[10],"cycles":[11],"of":[12,20,68,89,143],"scan-based":[13],"tests":[14],"in":[15,33,45,73,104,113],"order":[16,114],"to":[17,83,115,146],"avoid":[18,54],"overtesting":[19],"delay":[21],"faults.":[22],"The":[23,76,126],"that":[26,41,63,79],"these":[27],"address":[29,84],"is":[30,85,102,129],"one":[32],"fault-free":[35,110],"circuit.":[36],"Recently":[37],"it":[38],"was":[39],"shown":[40],"excessive":[42,148],"faulty":[46,74,90,123,149],"circuits":[47,91,139],"can":[48],"potentially":[49],"cause":[50],"escapes.":[52],"To":[53],"such":[55],"situations,":[56],"this":[57,80,105],"paper":[58,106],"describes":[59],"a":[60,69,117],"postprocessing":[61],"procedure":[62,81,145],"reduces":[64],"low-power":[70,153],"set":[72],"circuits.":[75],"main":[77],"challenge":[78,101],"needs":[82],"large":[87],"number":[88],"for":[92,120,131,137,152],"which":[93],"may":[97],"be":[98],"excessive.":[99],"This":[100],"addressed":[103],"by":[107],"reducing":[108],"create":[116],"safety":[118,127],"margin":[119,128],"an":[121],"increased":[122],"activity.":[125],"computed":[130],"every":[132],"individually.":[134],"Experimental":[135],"results":[136],"benchmark":[138],"demonstrate":[140],"ability":[142],"eliminate":[147],"sets.":[155]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
