{"id":"https://openalex.org/W1963882356","doi":"https://doi.org/10.1145/2802083.2808406","title":"Robust in-situ data reconstruction from poisson noise for low-cost, mobile, non-expert environmental sensing","display_name":"Robust in-situ data reconstruction from poisson noise for low-cost, mobile, non-expert environmental sensing","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1963882356","doi":"https://doi.org/10.1145/2802083.2808406","mag":"1963882356"},"language":"en","primary_location":{"id":"doi:10.1145/2802083.2808406","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2802083.2808406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM International Symposium on Wearable Computers - ISWC '15","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/A5030828823","display_name":"Matthias Budde","orcid":"https://orcid.org/0000-0002-1352-1281"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Matthias Budde","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","Karlsruhe Institute of Technology (KIT), Karlsruhe , Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Karlsruhe , Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025557605","display_name":"Marcel K\u00f6pke","orcid":"https://orcid.org/0000-0003-0305-3768"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcel K\u00f6pke","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","Karlsruhe Institute of Technology (KIT), Karlsruhe , Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Karlsruhe , Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082553444","display_name":"Michael Beigl","orcid":"https://orcid.org/0000-0001-5009-2327"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Beigl","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","Karlsruhe Institute of Technology (KIT), Karlsruhe , Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Karlsruhe , Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030828823"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":4.1039,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.93909596,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"179","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9679999947547913,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.686066746711731},{"id":"https://openalex.org/keywords/participatory-sensing","display_name":"Participatory sensing","score":0.6740226149559021},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.5898351669311523},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5537567734718323},{"id":"https://openalex.org/keywords/environmental-noise","display_name":"Environmental noise","score":0.54509037733078},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5426275730133057},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4802546799182892},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4575158953666687},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.44868385791778564},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.4144747853279114},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.41236791014671326},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4118748605251312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3724671006202698},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36932820081710815},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2991451919078827},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.24896010756492615},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.18573522567749023},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17807677388191223},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14447280764579773},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.11693868041038513},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.09638917446136475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09162700176239014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.686066746711731},{"id":"https://openalex.org/C2779208394","wikidata":"https://www.wikidata.org/wiki/Q7140460","display_name":"Participatory sensing","level":2,"score":0.6740226149559021},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.5898351669311523},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5537567734718323},{"id":"https://openalex.org/C86781634","wikidata":"https://www.wikidata.org/wiki/Q2478325","display_name":"Environmental noise","level":3,"score":0.54509037733078},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5426275730133057},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4802546799182892},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4575158953666687},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.44868385791778564},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.4144747853279114},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.41236791014671326},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4118748605251312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3724671006202698},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36932820081710815},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2991451919078827},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.24896010756492615},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.18573522567749023},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17807677388191223},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14447280764579773},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.11693868041038513},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.09638917446136475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09162700176239014},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2802083.2808406","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2802083.2808406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM International Symposium on Wearable Computers - ISWC '15","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.698.4892","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.698.4892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.teco.edu/%7Ebudde/publications/ISWC2015_noise_budde.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.5899999737739563,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1553085258","https://openalex.org/W1581708824","https://openalex.org/W1963518883","https://openalex.org/W1993648443","https://openalex.org/W2038384979","https://openalex.org/W2042461541","https://openalex.org/W2049349100","https://openalex.org/W2075072215","https://openalex.org/W2079098817","https://openalex.org/W2096754397","https://openalex.org/W2110264793","https://openalex.org/W2117828941","https://openalex.org/W2137100320","https://openalex.org/W2154304330","https://openalex.org/W2165797176","https://openalex.org/W2317673623"],"related_works":["https://openalex.org/W1970299606","https://openalex.org/W2063769785","https://openalex.org/W2538233322","https://openalex.org/W2683657967","https://openalex.org/W2949507301","https://openalex.org/W2155972981","https://openalex.org/W1971752766","https://openalex.org/W2343610860","https://openalex.org/W3191814826","https://openalex.org/W2264471190"],"abstract_inverted_index":{"Personal":[0],"and":[1,97,103],"participatory":[2],"environmental":[3],"sensing,":[4],"especially":[5],"of":[6,12,60],"air":[7],"quality,":[8],"is":[9,98],"a":[10,108],"topic":[11],"increasing":[13],"importance.":[14],"However,":[15],"as":[16,95,105],"the":[17,56,68,73],"employed":[18],"sensors":[19],"are":[20,24],"often":[21],"cheap,":[22],"they":[23],"prone":[25],"to":[26,31,64,86,107],"erroneous":[27],"readings,":[28],"e.g.":[29],"due":[30],"sensor":[32,57],"aging":[33],"or":[34],"low":[35],"selectivity.":[36],"Additionally,":[37],"non-expert":[38],"users":[39],"make":[40],"mistakes":[41],"when":[42],"handling":[43],"equipment.":[44],"We":[45,113],"present":[46],"an":[47],"elegant":[48],"approach":[49,82],"that":[50,91],"deals":[51],"with":[52],"such":[53],"problems":[54],"on":[55,117],"level.":[58],"Instead":[59],"characterizing":[61],"systematic":[62],"errors":[63],"remove":[65],"them":[66],"from":[67,77,88],"noisy":[69],"signal,":[70],"we":[71],"reconstruct":[72],"true":[74],"signal":[75],"solely":[76],"its":[78,115],"Poisson":[79],"noise.":[80],"Our":[81],"can":[83,92],"be":[84,93],"applied":[85],"data":[87],"any":[89],"phenomenon":[90],"modeled":[94],"particles":[96],"robust":[99],"against":[100,111],"both":[101],"offset":[102],"drift,":[104],"well":[106],"certain":[109],"extent":[110],"cross-sensitivity.":[112],"show":[114],"validity":[116],"two":[118],"real-world":[119],"datasets.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
