{"id":"https://openalex.org/W2804255103","doi":"https://doi.org/10.1145/3208903.3208904","title":"PANDA","display_name":"PANDA","publication_year":2018,"publication_date":"2018-05-25","ids":{"openalex":"https://openalex.org/W2804255103","doi":"https://doi.org/10.1145/3208903.3208904","mag":"2804255103"},"language":"en","primary_location":{"id":"doi:10.1145/3208903.3208904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3208903.3208904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth International Conference on Future Energy Systems","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/A5071444242","display_name":"Neil Klingensmith","orcid":"https://orcid.org/0000-0003-4047-5070"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neil Klingensmith","raw_affiliation_strings":["University of Wisconsin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033218913","display_name":"Suman Banerjee","orcid":"https://orcid.org/0000-0003-1761-5944"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suman Banerjee","raw_affiliation_strings":["University of Wisconsin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"200","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9994000196456909,"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9972000122070312,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.808186411857605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6234982013702393},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5981984734535217},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5351067185401917},{"id":"https://openalex.org/keywords/burst-mode","display_name":"Burst mode (computing)","score":0.521559476852417},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.508647084236145},{"id":"https://openalex.org/keywords/coherent-sampling","display_name":"Coherent sampling","score":0.5037786364555359},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.48676204681396484},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4349459409713745},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.42525485157966614},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33986401557922363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27238619327545166},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13612061738967896},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1329634189605713},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11807426810264587},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10140600800514221},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0709877610206604}],"concepts":[{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.808186411857605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6234982013702393},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5981984734535217},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5351067185401917},{"id":"https://openalex.org/C2779760598","wikidata":"https://www.wikidata.org/wiki/Q1017053","display_name":"Burst mode (computing)","level":2,"score":0.521559476852417},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.508647084236145},{"id":"https://openalex.org/C31942786","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Coherent sampling","level":4,"score":0.5037786364555359},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.48676204681396484},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4349459409713745},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.42525485157966614},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33986401557922363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27238619327545166},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13612061738967896},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1329634189605713},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11807426810264587},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10140600800514221},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0709877610206604},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3208903.3208904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3208903.3208904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth International Conference on Future Energy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9200000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W607933207","https://openalex.org/W1501755821","https://openalex.org/W1663858207","https://openalex.org/W1966373131","https://openalex.org/W1970049226","https://openalex.org/W1970070732","https://openalex.org/W1974618482","https://openalex.org/W1981562337","https://openalex.org/W1998152471","https://openalex.org/W2000051245","https://openalex.org/W2008150142","https://openalex.org/W2012300893","https://openalex.org/W2016439839","https://openalex.org/W2037667419","https://openalex.org/W2047188941","https://openalex.org/W2075837043","https://openalex.org/W2086736158","https://openalex.org/W2107625832","https://openalex.org/W2132471117","https://openalex.org/W2135297361","https://openalex.org/W2139242438","https://openalex.org/W2140884902","https://openalex.org/W2157294617","https://openalex.org/W2160209843","https://openalex.org/W2169913320","https://openalex.org/W2236517688","https://openalex.org/W2296616510","https://openalex.org/W2547717408","https://openalex.org/W2592581063","https://openalex.org/W2615865818","https://openalex.org/W4232073761","https://openalex.org/W4250955649","https://openalex.org/W4290856507"],"related_works":["https://openalex.org/W2392579908","https://openalex.org/W114002079","https://openalex.org/W2367746908","https://openalex.org/W2327813110","https://openalex.org/W2809614269","https://openalex.org/W2296878743","https://openalex.org/W2003941946","https://openalex.org/W4244347520","https://openalex.org/W2025036404","https://openalex.org/W1973337634"],"abstract_inverted_index":{"We":[0,86,145,165],"present":[1],"PANDA,":[2],"a":[3,77,112,133],"data":[4,72,109],"acquisition":[5],"technique":[6],"for":[7,168],"energy-constrained":[8],"sensor":[9,23,163],"nodes":[10],"that":[11,81,88,102,167],"reduces":[12,51],"the":[13,29,52,57,83,89,93,100,118,141,147,189,195],"energy":[14,30,148,183],"per":[15],"operation":[16],"required":[17,192],"to":[18,76,99,154,193],"sample":[19],"and":[20,59,63,132,176],"preprocess":[21],"analog":[22,60],"data.":[24],"PANDA":[25],"takes":[26],"advantage":[27],"of":[28,33,47,54,65,117,151,156],"consumption":[31,149],"patterns":[32,150],"commodity":[34],"microcontrollers":[35],"by":[36,44],"sampling":[37,153,159,175],"input":[38,71,171],"signals":[39],"in":[40,62,160],"short":[41],"bursts":[42],"followed":[43],"long":[45],"periods":[46],"inactivity.":[48],"This":[49,69],"approach":[50],"overhead":[53],"repetitively":[55],"transitioning":[56],"CPU":[58],"components":[61],"out":[64],"low-power":[66],"sleep":[67],"states.":[68],"nonuniformly-spaced":[70],"is":[73,96],"then":[74],"fed":[75],"nonuniform":[78,94,119,196],"FFT":[79,95,120],"algorithm":[80],"computes":[82],"frequency":[84,128],"spectrum.":[85],"show":[87],"spectrum":[90,101],"computed":[91,105],"with":[92,111,126,140],"very":[97],"close":[98],"would":[103],"be":[104,122,138],"from":[106],"uniformly":[107,134],"sampled":[108],"preprocessed":[110],"conventional":[113,127,142,157,185],"FFT.":[114,144],"The":[115],"output":[116,136],"can":[121,137],"filtered":[123],"or":[124],"postprocessed":[125],"domain":[129],"analysis":[130],"techniques,":[131],"resampled":[135],"constructed":[139],"inverse":[143],"compare":[146],"burst-mode":[152],"those":[155],"uniform":[158,186],"several":[161],"real":[162],"nodes.":[164],"demonstrate":[166],"reasonably":[169],"sized":[170],"datasets,":[172],"burst":[173],"mode":[174],"postprocessing":[177],"consumes":[178],"more":[179],"than":[180,184],"17%":[181],"less":[182],"sampling,":[187],"including":[188],"additional":[190],"computations":[191],"compute":[194],"DFT.":[197]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2018-06-01T00:00:00"}