{"id":"https://openalex.org/W2066120496","doi":"https://doi.org/10.1109/bigdata.2014.7004248","title":"Low complexity sensing for big spatio-temporal data","display_name":"Low complexity sensing for big spatio-temporal data","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2066120496","doi":"https://doi.org/10.1109/bigdata.2014.7004248","mag":"2066120496"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2014.7004248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","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/A5100720915","display_name":"Dongeun Lee","orcid":"https://orcid.org/0000-0003-3306-1566"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongeun Lee","raw_affiliation_strings":["School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea","#N#School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea","institution_ids":["https://openalex.org/I48566637"]},{"raw_affiliation_string":"#N#School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052985764","display_name":"Jaesik Choi","orcid":"https://orcid.org/0000-0002-4663-3263"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaesik Choi","raw_affiliation_strings":["School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea","#N#School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea","institution_ids":["https://openalex.org/I48566637"]},{"raw_affiliation_string":"#N#School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Korea","institution_ids":["https://openalex.org/I48566637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8644,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93040865,"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":"323","last_page":"328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/compressed-sensing","display_name":"Compressed sensing","score":0.8178731203079224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.785917341709137},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6962998509407043},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5598706007003784},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5574707984924316},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5028919577598572},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46628499031066895},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.46406230330467224},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4444637596607208},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4277898073196411},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4223610758781433},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24443575739860535},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13865849375724792},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07851588726043701}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8178731203079224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785917341709137},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6962998509407043},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5598706007003784},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5574707984924316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5028919577598572},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46628499031066895},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.46406230330467224},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4444637596607208},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4277898073196411},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4223610758781433},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24443575739860535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13865849375724792},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07851588726043701},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2014.7004248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.unist.ac.kr:201301/35574","is_oa":false,"landing_page_url":"https://scholarworks.unist.ac.kr/handle/201301/35574","pdf_url":null,"source":{"id":"https://openalex.org/S4306401118","display_name":"Scholarworks@UNIST (Ulsan National Institute of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48566637","host_organization_name":"Ulsan National Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I48566637"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"CONFERENCE"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W1848264314","https://openalex.org/W1984037205","https://openalex.org/W2011696554","https://openalex.org/W2031705074","https://openalex.org/W2076665288","https://openalex.org/W2119667497","https://openalex.org/W2123241700","https://openalex.org/W2125680629","https://openalex.org/W2159563318","https://openalex.org/W2254790732","https://openalex.org/W2510711337","https://openalex.org/W3125735862","https://openalex.org/W7051926465"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W2158224665","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W2908411463","https://openalex.org/W1995239016","https://openalex.org/W96694040"],"abstract_inverted_index":{"Many":[0],"large":[1],"scale":[2],"sensor":[3,42],"networks":[4],"produce":[5],"tremendous":[6],"data,":[7],"typically":[8],"as":[9],"massive":[10],"spatio-temporal":[11,113],"data":[12,52,97],"streams.":[13],"We":[14],"present":[15],"a":[16],"Low":[17],"Complexity":[18],"Sensing":[19],"framework":[20,48,69,104],"that,":[21],"coupled":[22],"with":[23,93],"novel":[24],"compressive":[25,88,108],"sensing":[26,47,68,89,109],"techniques,":[27],"enables":[28],"to":[29,84],"reduce":[30],"computational":[31],"and":[32,82],"communication":[33],"overheads":[34],"significantly":[35],"without":[36],"much":[37,80],"compromising":[38],"the":[39,54,60,71,102],"accuracy":[40],"of":[41,75],"readings.":[43],"More":[44],"specifically,":[45],"our":[46,67],"randomly":[49],"samples":[50],"time-series":[51],"in":[53,59],"temporal":[55],"dimension":[56],"first,":[57],"then":[58],"spatial":[61],"dimension.":[62],"Under":[63],"some":[64],"mild":[65],"conditions,":[66],"holds":[70],"same":[72],"theoretical":[73],"bound":[74],"reconstruction":[76],"error,":[77],"but":[78],"is":[79],"simpler":[81],"easier":[83],"implement":[85],"than":[86],"existing":[87,107],"frameworks.":[90],"In":[91],"experiments":[92],"real":[94],"world":[95],"environmental":[96],"sets,":[98],"we":[99],"demonstrate":[100],"that":[101],"proposed":[103],"outperforms":[105],"two":[106],"frameworks":[110],"designed":[111],"for":[112],"data.":[114]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}