{"id":"https://openalex.org/W2521086499","doi":"https://doi.org/10.1109/tcad.2016.2611502","title":"Machine Learning for Noise Sensor Placement and Full-Chip Voltage Emergency Detection","display_name":"Machine Learning for Noise Sensor Placement and Full-Chip Voltage Emergency Detection","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2521086499","doi":"https://doi.org/10.1109/tcad.2016.2611502","mag":"2521086499"},"language":"en","primary_location":{"id":"doi:10.1109/tcad.2016.2611502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2016.2611502","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-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/A5100430486","display_name":"Xiaochen Liu","orcid":"https://orcid.org/0000-0001-9824-094X"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochen Liu","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112215315","display_name":"Shupeng Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shupeng Sun","raw_affiliation_strings":["ECE Department, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353869","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-4510-2436"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["ECE Department, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066647898","display_name":"Haifeng Qian","orcid":"https://orcid.org/0000-0002-7189-6903"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haifeng Qian","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081772659","display_name":"Pingqiang Zhou","orcid":"https://orcid.org/0000-0001-9515-9302"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingqiang Zhou","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9515-9302","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.891,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77567708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T12495","display_name":"Electrostatic Discharge in Electronics","score":0.9987000226974487,"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":0.9966999888420105,"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/voltage","display_name":"Voltage","score":0.6825705766677856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5875939726829529},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.49286532402038574},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.47642621397972107},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.45345115661621094},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4278210997581482},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4178299903869629},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29694825410842896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27427107095718384},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.22923365235328674},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10026490688323975},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09399580955505371}],"concepts":[{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.6825705766677856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5875939726829529},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.49286532402038574},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.47642621397972107},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.45345115661621094},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4278210997581482},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4178299903869629},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29694825410842896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27427107095718384},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.22923365235328674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10026490688323975},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09399580955505371},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcad.2016.2611502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2016.2611502","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.4699999988079071,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G8349786469","display_name":null,"funder_award_id":"61401276","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W35708471","https://openalex.org/W1480376833","https://openalex.org/W1506806321","https://openalex.org/W1969326037","https://openalex.org/W1972661221","https://openalex.org/W1976143853","https://openalex.org/W1979792996","https://openalex.org/W1981627777","https://openalex.org/W1993986066","https://openalex.org/W1994652005","https://openalex.org/W2001881266","https://openalex.org/W2006312753","https://openalex.org/W2006500015","https://openalex.org/W2015102462","https://openalex.org/W2015674476","https://openalex.org/W2020198822","https://openalex.org/W2023571465","https://openalex.org/W2033500158","https://openalex.org/W2037763851","https://openalex.org/W2047028564","https://openalex.org/W2053583969","https://openalex.org/W2077710127","https://openalex.org/W2083951140","https://openalex.org/W2089689336","https://openalex.org/W2091322784","https://openalex.org/W2105235982","https://openalex.org/W2110283673","https://openalex.org/W2111944961","https://openalex.org/W2119821739","https://openalex.org/W2123421819","https://openalex.org/W2124086785","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2138209363","https://openalex.org/W2146410479","https://openalex.org/W2147657366","https://openalex.org/W2170382128","https://openalex.org/W4234491053","https://openalex.org/W4238046429","https://openalex.org/W4239510810","https://openalex.org/W4243934889","https://openalex.org/W4255455317","https://openalex.org/W6651700774","https://openalex.org/W6681681969"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W4315815996"],"abstract_inverted_index":{"Power":[0],"supply":[1,22],"fluctuation":[2],"can":[3,37,194,222],"be":[4,38],"potential":[5],"threat":[6],"to":[7,46,63,77,94,112,117,132,209,225,232],"the":[8,14,41,52,79,84,122,148,152,157,161,166,176,181,185,210,215],"correct":[9],"operations":[10],"of":[11,16,44,88],"processors,":[12],"in":[13,40,92,121,228],"form":[15],"voltage":[17,23,48,54,67,107,119,149,198],"emergency":[18,68,108,199],"that":[19,83],"happens":[20],"when":[21,207],"drops":[24],"below":[25],"a":[26,65,96],"certain":[27],"threshold.":[28],"Noise":[29],"sensors":[30,81,89,116],"(with":[31],"either":[32],"analog":[33,138,162,205],"or":[34],"digital":[35,140],"outputs)":[36],"placed":[39,115],"nonfunction":[42],"area":[43],"processors":[45],"detect":[47,118],"emergencies":[49,120],"by":[50,146],"monitoring":[51],"runtime":[53],"fluctuations.":[55],"Our":[56],"work":[57],"addresses":[58],"two":[59,134],"important":[60],"problems":[61],"related":[62],"building":[64],"sensor-based":[66],"detection":[69,200],"system:":[70],"1)":[71],"offline":[72],"sensor":[73,144,153],"placement,":[74],"i.e.,":[75,110],"where":[76],"place":[78],"noise":[80],"so":[82],"number":[85],"and":[86,101,104,139,156,169,184,213],"locations":[87,155],"are":[90],"optimized":[91],"order":[93],"strike":[95],"balance":[97],"between":[98,151],"design":[99],"cost":[100],"chip":[102],"reliability":[103],"2)":[105],"online":[106],"detection,":[109],"how":[111],"use":[113,165],"these":[114,133],"hotspot":[123,158],"locations.":[124,159],"In":[125],"this":[126],"paper,":[127],"we":[128,164,179],"propose":[129],"integrated":[130],"solutions":[131],"problems,":[135],"respectively,":[136],"for":[137,175,204,214],"(more":[141],"specifically,":[142],"binary)":[143],"outputs,":[145],"exploiting":[147],"correlation":[150],"candidate":[154],"For":[160],"case,":[163,178,217],"Group":[167,182],"Lasso":[168,183],"an":[170,233],"ordinary":[171],"least":[172],"squares":[173],"approach;":[174],"binary":[177,216],"integrate":[180],"SVM":[186],"approach.":[187],"Experimental":[188],"results":[189,201],"show":[190],"that,":[191],"our":[192,220],"approach":[193,234],"achieve":[195,223],"2.3X-2.7X":[196],"better":[197],"on":[202,218],"average":[203,219],"outputs":[206],"compared":[208,231],"state-of-the-art":[211],"work;":[212],"methodology":[221],"up":[224],"21%":[226],"improvement":[227],"prediction":[229],"accuracy":[230],"called":[235],"max-probability-no-prediction.":[236]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
