{"id":"https://openalex.org/W3012596243","doi":"https://doi.org/10.1109/tvlsi.2020.2984472","title":"Low Power Unsupervised Anomaly Detection by Nonparametric Modeling of Sensor Statistics","display_name":"Low Power Unsupervised Anomaly Detection by Nonparametric Modeling of Sensor Statistics","publication_year":2020,"publication_date":"2020-04-15","ids":{"openalex":"https://openalex.org/W3012596243","doi":"https://doi.org/10.1109/tvlsi.2020.2984472","mag":"3012596243"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2020.2984472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2020.2984472","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2003.10088","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013872413","display_name":"Ahish Shylendra","orcid":"https://orcid.org/0000-0003-2388-0453"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahish Shylendra","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, USA"],"raw_orcid":"https://orcid.org/0000-0003-2388-0453","affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067601336","display_name":"Priyesh Shukla","orcid":"https://orcid.org/0000-0002-9868-8944"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Priyesh Shukla","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, USA"],"raw_orcid":"https://orcid.org/0000-0002-9868-8944","affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009591041","display_name":"Saibal Mukhopadhyay","orcid":"https://orcid.org/0000-0002-8894-3390"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saibal Mukhopadhyay","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039442844","display_name":"Swarup Bhunia","orcid":"https://orcid.org/0000-0001-6082-6961"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Swarup Bhunia","raw_affiliation_strings":["University of Florida, Gainesville, USA"],"raw_orcid":"https://orcid.org/0000-0001-6082-6961","affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028132107","display_name":"Amit Ranjan Trivedi","orcid":"https://orcid.org/0000-0001-5436-7922"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Ranjan Trivedi","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02787472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"8","first_page":"1833","last_page":"1843"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11220","display_name":"Water Systems and Optimization","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/anomaly-detection","display_name":"Anomaly detection","score":0.7843912839889526},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.6492935419082642},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5968655347824097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5803952217102051},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.542235791683197},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.531897783279419},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4484904408454895},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43997761607170105},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4306780695915222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3287299871444702},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32570880651474},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.25475624203681946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24552658200263977}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7843912839889526},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.6492935419082642},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5968655347824097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5803952217102051},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.542235791683197},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.531897783279419},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4484904408454895},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43997761607170105},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4306780695915222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3287299871444702},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32570880651474},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.25475624203681946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24552658200263977},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tvlsi.2020.2984472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2020.2984472","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2003.10088","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.10088","pdf_url":"https://arxiv.org/pdf/2003.10088","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3012596243","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2003.10088v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2003.10088","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2003.10088","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2003.10088","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.10088","pdf_url":"https://arxiv.org/pdf/2003.10088","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G8664053338","display_name":null,"funder_award_id":"2712.022","funder_id":"https://openalex.org/F4320306087","funder_display_name":"Semiconductor Research Corporation"}],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3012596243.pdf","grobid_xml":"https://content.openalex.org/works/W3012596243.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1542232096","https://openalex.org/W1552339598","https://openalex.org/W1566916904","https://openalex.org/W1627553557","https://openalex.org/W2016680623","https://openalex.org/W2018642663","https://openalex.org/W2023332207","https://openalex.org/W2035371449","https://openalex.org/W2041365877","https://openalex.org/W2046660258","https://openalex.org/W2057659149","https://openalex.org/W2092952332","https://openalex.org/W2117089038","https://openalex.org/W2120695048","https://openalex.org/W2122053769","https://openalex.org/W2129281431","https://openalex.org/W2129905273","https://openalex.org/W2131263108","https://openalex.org/W2137295153","https://openalex.org/W2156736318","https://openalex.org/W2340896621","https://openalex.org/W2406935090","https://openalex.org/W2774134601","https://openalex.org/W2903553365","https://openalex.org/W2908781557","https://openalex.org/W3034147479","https://openalex.org/W3041926566","https://openalex.org/W3100117785","https://openalex.org/W4233014035","https://openalex.org/W4253461361","https://openalex.org/W6632829031","https://openalex.org/W6636689389","https://openalex.org/W6682400147","https://openalex.org/W6756990230","https://openalex.org/W6770809076"],"related_works":["https://openalex.org/W3016328983","https://openalex.org/W2969425601","https://openalex.org/W2044688385","https://openalex.org/W2391050490","https://openalex.org/W2896661726","https://openalex.org/W3197357416","https://openalex.org/W1524715972","https://openalex.org/W960264876","https://openalex.org/W2098822252","https://openalex.org/W2996762248","https://openalex.org/W2978690582","https://openalex.org/W2020326590","https://openalex.org/W2576470766","https://openalex.org/W207609243","https://openalex.org/W2038247755","https://openalex.org/W2375424720","https://openalex.org/W2159980492","https://openalex.org/W2122212542","https://openalex.org/W2035039281","https://openalex.org/W2353745110"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"anomaly":[3],"detection":[4,106],"by":[5,132],"examining":[6],"sensor":[7,35,43],"stream":[8],"statistics":[9],"(AEGIS),":[10],"a":[11,29,100,167],"novel":[12],"mixed-signal":[13],"framework":[14],"for":[15,69,179],"real-time":[16,30],"AEGIS.":[17,124,149],"AEGIS":[18],"utilizes":[19],"kernel":[20,82],"density":[21,25,180],"estimation":[22,26],"(KDE)-based":[23],"nonparametric":[24],"to":[27,55,65,103,119],"generate":[28],"statistical":[31,53],"model":[32,54,107],"of":[33,41,81,123,138,170],"the":[34,42,51,74,105,121,139],"data":[36,44,114],"stream.":[37],"The":[38],"likelihood":[39,91],"estimate":[40],"point":[45],"can":[46],"be":[47],"obtained":[48],"based":[49],"on":[50,161],"generated":[52],"detect":[56],"outliers.":[57],"We":[58,98,111],"present":[59],"CMOS":[60],"Gilbert":[61],"Gaussian":[62,67],"cell-based":[63],"design":[64],"realize":[66],"kernels":[68],"KDE.":[70],"For":[71],"outlier":[72],"detection,":[73],"decision":[75,143],"boundary":[76],"is":[77,130,152],"defined":[78],"in":[79,108,148],"terms":[80],"standard":[83],"deviation":[84],"(\u03c3":[85],"<sub":[86,94],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[87,95],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Kernel</sub>":[88],")":[89],"and":[90,142,158],"threshold":[92],"(P":[93],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Thres</sub>":[96],").":[97],"adopt":[99],"sliding":[101,140],"window":[102,141],"update":[104],"real":[109],"time.":[110],"use":[112],"time-series":[113],"set":[115],"provided":[116],"from":[117],"Yahoo":[118],"benchmark":[120],"performance":[122],"A":[125],"f1-score":[126],"higher":[127],"than":[128],"0.87":[129],"achieved":[131],"optimizing":[133],"parameters":[134],"such":[135],"as":[136],"length":[137],"thresholds":[144],"which":[145],"are":[146],"programmable":[147],"Discussed":[150],"architecture":[151],"designed":[153],"using":[154,174],"45-nm":[155],"technology":[156],"node":[157],"our":[159],"approach":[160],"average":[162],"consumes":[163],"~75-\u03bcW":[164],"power":[165],"at":[166],"sampling":[168],"rate":[169],"2":[171],"MHz":[172],"while":[173],"ten":[175],"recent":[176],"inlier":[177],"samples":[178],"estimation.":[181]},"counts_by_year":[],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}