{"id":"https://openalex.org/W2079038912","doi":"https://doi.org/10.1109/cicc.2014.6946017","title":"Energy scaling in multi-tiered sensing systems through compressive sensing","display_name":"Energy scaling in multi-tiered sensing systems through compressive sensing","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2079038912","doi":"https://doi.org/10.1109/cicc.2014.6946017","mag":"2079038912"},"language":"en","primary_location":{"id":"doi:10.1109/cicc.2014.6946017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicc.2014.6946017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE 2014 Custom Integrated Circuits Conference","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/A5100535963","display_name":"Mohammed Shoaib","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammed Shoaib","raw_affiliation_strings":["Microsoft, Redmond, WA","Microsoft, One Microsoft Way, Redmond, WA 98052"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, One Microsoft Way, Redmond, WA 98052","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454148","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-8038-9161"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["Microsoft, Redmond, WA","Microsoft, One Microsoft Way, Redmond, WA 98052"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, One Microsoft Way, Redmond, WA 98052","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054635708","display_name":"Matthai Phillipose","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthai Phillipose","raw_affiliation_strings":["Microsoft, Redmond, WA","Microsoft, One Microsoft Way, Redmond, WA 98052"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, One Microsoft Way, Redmond, WA 98052","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":0.5391,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6388995,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7741801738739014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.754116952419281},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.6652941703796387},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6457842588424683},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5619825720787048},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5269699096679688},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.46904024481773376},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.45661965012550354},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4518602788448334},{"id":"https://openalex.org/keywords/frequency-scaling","display_name":"Frequency scaling","score":0.4447008967399597},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43818995356559753},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37875548005104065},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3510347008705139},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34265661239624023},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3424319624900818},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2589980363845825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14442884922027588},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11920928955078125},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11109796166419983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09357520937919617},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.086142897605896}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7741801738739014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754116952419281},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.6652941703796387},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6457842588424683},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5619825720787048},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5269699096679688},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46904024481773376},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.45661965012550354},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4518602788448334},{"id":"https://openalex.org/C157742956","wikidata":"https://www.wikidata.org/wiki/Q3237776","display_name":"Frequency scaling","level":3,"score":0.4447008967399597},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43818995356559753},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37875548005104065},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3510347008705139},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34265661239624023},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3424319624900818},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2589980363845825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14442884922027588},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11920928955078125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11109796166419983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09357520937919617},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.086142897605896},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/cicc.2014.6946017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicc.2014.6946017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE 2014 Custom Integrated Circuits Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1972573758","https://openalex.org/W2003729369","https://openalex.org/W2017216250","https://openalex.org/W2026005150","https://openalex.org/W2036343640","https://openalex.org/W2038190601","https://openalex.org/W2039907425","https://openalex.org/W2064030771","https://openalex.org/W2088658556","https://openalex.org/W2107106521","https://openalex.org/W2109449402","https://openalex.org/W2118552413","https://openalex.org/W2119235711","https://openalex.org/W2128633079","https://openalex.org/W2129638195","https://openalex.org/W2138895011","https://openalex.org/W2155190990","https://openalex.org/W2168106261","https://openalex.org/W2169382889","https://openalex.org/W2169691416","https://openalex.org/W2262466305","https://openalex.org/W3142846010","https://openalex.org/W4250955649","https://openalex.org/W6677797981","https://openalex.org/W6684700885","https://openalex.org/W6692894905"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W1967088250","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W4399147211","https://openalex.org/W2609678089","https://openalex.org/W3013241373"],"abstract_inverted_index":{"High":[0],"functional":[1],"complexity":[2],"is":[3,14,73],"leading":[4],"us":[5,62],"towards":[6],"new":[7,24],"architectures":[8,22],"for":[9,26,138],"sensing":[10],"systems.":[11],"Multi-tiered":[12],"design":[13],"one":[15,54],"among":[16],"the":[17,66,81,103,109,147],"many":[18],"emerging":[19],"alternatives.":[20],"Such":[21],"bring":[23],"opportunities":[25],"effective":[27],"system-level":[28],"power":[29],"management.":[30],"For":[31],"instance,":[32],"varying":[33],"one/more":[34],"tier-level":[35,98],"parameters":[36],"can":[37,60],"provide":[38],"substantial":[39],"end-to-end":[40],"energy":[41,64,100],"scaling.":[42],"In":[43],"this":[44,134,144],"paper,":[45],"we":[46,131],"review":[47],"an":[48,92],"existing":[49],"approach":[50],"that":[51,137],"shows":[52],"how":[53],"such":[55],"parameter,":[56],"namely":[57],"data":[58],"compression,":[59],"help":[61],"scale":[63],"at":[65],"cost":[67],"of":[68,79,83,111,121,153],"algorithmic":[69],"accuracy.":[70],"The":[71,129],"methodology":[72],"driven":[74],"by":[75,156],"a":[76],"case":[77],"study":[78],"inferring":[80],"onset":[82],"seizure":[84],"events":[85],"directly":[86],"from":[87,91],"compressively-sensed":[88],"electroencephalograms.":[89],"Results":[90],"integrated":[93],"circuit":[94],"implementation":[95],"have":[96],"shown":[97],"computational":[99],"scaling":[101],"in":[102,133],"range":[104],"1.2-214":[105],"\u03bcJ":[106],"depending":[107],"on":[108],"amount":[110],"compression":[112],"(2-24\u00d7)":[113],"and":[114,119,125],"inference":[115],"accuracy":[116],"(sensitivity,":[117],"latency,":[118],"specificity":[120],"91-96%,":[122],"4.7-5.3":[123],"sec.,":[124],"0.17-0.30":[126],"false-alarms/hr.,":[127],"respectively).":[128],"projections":[130],"make":[132],"paper":[135],"show":[136],"similar":[139],"systems,":[140],"compressive":[141],"sensing,":[142],"through":[143],"approach,":[145],"has":[146],"potential":[148],"to":[149,158],"prolong":[150],"battery":[151],"lives":[152],"all":[154],"tiers":[155],"up":[157],"5\u00d7.":[159]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
