{"id":"https://openalex.org/W2900778198","doi":"https://doi.org/10.1109/bigdata.2018.8621946","title":"A multi-dimensional extension of the Lightweight Temporal Compression method","display_name":"A multi-dimensional extension of the Lightweight Temporal Compression method","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2900778198","doi":"https://doi.org/10.1109/bigdata.2018.8621946","mag":"2900778198"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8621946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8621946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5100758169","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-5980-4861"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007969269","display_name":"O. Sarbishei","orcid":"https://orcid.org/0000-0001-5677-2462"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Omid Sarbishei","raw_affiliation_strings":["Research and Development Department, Motsai Research, Saint Bruno, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Development Department, Motsai Research, Saint Bruno, QC, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089728982","display_name":"Hosein Nourani","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hosein Nourani","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075952219","display_name":"Tristan Glatard","orcid":"https://orcid.org/0000-0003-2620-5883"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tristan Glatard","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.53,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.72165077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"32","issue":null,"first_page":"2918","last_page":"2923"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.7159525752067566},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6843633055686951},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6501458883285522},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.6405547857284546},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5540305972099304},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5097159743309021},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4818957448005676},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4787132740020752},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.45111632347106934},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.41983330249786377},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39021509885787964},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.373960018157959},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20417261123657227},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15311670303344727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.147129088640213},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08156713843345642}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7159525752067566},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6843633055686951},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6501458883285522},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6405547857284546},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5540305972099304},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5097159743309021},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4818957448005676},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4787132740020752},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.45111632347106934},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.41983330249786377},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39021509885787964},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.373960018157959},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20417261123657227},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15311670303344727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.147129088640213},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08156713843345642},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8621946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8621946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1538729101","https://openalex.org/W1570982431","https://openalex.org/W1969995484","https://openalex.org/W1994074882","https://openalex.org/W1999129135","https://openalex.org/W2516887540","https://openalex.org/W2763349972"],"related_works":["https://openalex.org/W2547124190","https://openalex.org/W2385628723","https://openalex.org/W2888954728","https://openalex.org/W2552401318","https://openalex.org/W3180760233","https://openalex.org/W4384342390","https://openalex.org/W3035703949","https://openalex.org/W1033938421","https://openalex.org/W4247601675","https://openalex.org/W1970394887"],"abstract_inverted_index":{"Lightweight":[0],"Temporal":[1],"Compression":[2],"(LTC)":[3],"is":[4,27,47,55],"among":[5],"the":[6,13,18,74,87,100,103,129],"lossy":[7],"stream":[8],"compression":[9,15],"methods":[10],"that":[11,128],"provide":[12,83],"highest":[14],"rate":[16],"for":[17,58,102,142],"lowest":[19],"CPU":[20],"and":[21,61,105,113],"memory":[22,147],"consumption.":[23],"As":[24],"such,":[25],"it":[26],"well":[28],"suited":[29],"to":[30,78,137],"compress":[31],"data":[32,50],"streams":[33,122],"in":[34,52,89,108,139],"energy-constrained":[35],"systems":[36],"such":[37],"as":[38],"connected":[39,53],"objects.":[40],"The":[41],"current":[42],"formulation":[43,85],"of":[44,76,86,94,110,123,132,149],"LTC,":[45],"however,":[46],"one-dimensional":[48],"while":[49],"acquired":[51],"objects":[54],"often":[56],"multi-dimensional:":[57],"instance,":[59],"accelerometers":[60],"gyroscopes":[62],"usually":[63],"measure":[64],"variables":[65],"along":[66],"3":[67],"directions.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72,82,98],"investigate":[73],"extension":[75],"LTC":[77,133],"higher":[79],"dimensions.":[80],"First,":[81],"a":[84,146],"algorithm":[88,101],"an":[90],"arbitrary":[91],"vectorial":[92],"space":[93],"dimension":[95,111],"n.":[96],"Then,":[97],"implement":[99],"infinity":[104],"Euclidean":[106],"norms,":[107],"spaces":[109],"2D+t":[112],"3D+t.":[114],"We":[115],"evaluate":[116],"our":[117],"implementation":[118,131],"on":[119],"3D":[120,130],"acceleration":[121],"human":[124],"activities.":[125],"Results":[126],"show":[127],"can":[134],"save":[135],"up":[136],"20%":[138],"energy":[140],"consumption":[141],"low-paced":[143],"activities,":[144],"with":[145],"usage":[148],"about":[150],"100":[151],"B.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
