{"id":"https://openalex.org/W3162385334","doi":"https://doi.org/10.1109/jiot.2021.3081868","title":"Titchy: Online Time-Series Compression With Random Access for the Internet of Things","display_name":"Titchy: Online Time-Series Compression With Random Access for the Internet of Things","publication_year":2021,"publication_date":"2021-05-19","ids":{"openalex":"https://openalex.org/W3162385334","doi":"https://doi.org/10.1109/jiot.2021.3081868","mag":"3162385334"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2021.3081868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3081868","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5019917624","display_name":"Rasmus Vestergaard","orcid":"https://orcid.org/0000-0002-0815-0148"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Rasmus Vestergaard","raw_affiliation_strings":["DIGIT Centre and the Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark"],"affiliations":[{"raw_affiliation_string":"DIGIT Centre and the Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360194","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0001-5303-9804"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["DIGIT Centre and the Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark"],"affiliations":[{"raw_affiliation_string":"DIGIT Centre and the Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000643612","display_name":"M\u00e1rton Sipos","orcid":"https://orcid.org/0000-0003-4671-938X"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Marton Sipos","raw_affiliation_strings":["Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110828662","display_name":"Daniel E. Lucani","orcid":null},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Daniel E. Lucani","raw_affiliation_strings":["DIGIT Centre and the Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark"],"affiliations":[{"raw_affiliation_string":"DIGIT Centre and the Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019917624"],"corresponding_institution_ids":["https://openalex.org/I204337017"],"apc_list":null,"apc_paid":null,"fwci":1.5389,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82887055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"8","issue":"24","first_page":"17568","last_page":"17583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9902999997138977,"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/computer-science","display_name":"Computer science","score":0.8816639184951782},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.7410846948623657},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6888138055801392},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5595932602882385},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5515506267547607},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5271983742713928},{"id":"https://openalex.org/keywords/data-access","display_name":"Data access","score":0.4703942537307739},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.43251535296440125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37120920419692993},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.26794880628585815},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2520003914833069},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.19992539286613464},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17993339896202087},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16267558932304382}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8816639184951782},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.7410846948623657},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6888138055801392},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5595932602882385},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5515506267547607},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5271983742713928},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.4703942537307739},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43251535296440125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37120920419692993},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.26794880628585815},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2520003914833069},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.19992539286613464},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17993339896202087},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16267558932304382},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jiot.2021.3081868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3081868","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/258a1584-311c-44e7-b82b-db599a9cf4cf","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/9435794/authors#authors","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Vestergaard, R, Zhang, Q, Sipos, M & Lucani R\u00f6tter, D E 2021, 'Titchy: Online Time-series Compression with Random Access for the Internet of Things', IEEE Internet of Things Journal, vol. 8, no. 24, pp. 17568-17583. https://doi.org/10.1109/JIOT.2021.3081868","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3498933432","display_name":null,"funder_award_id":"AUFF-2017-FLS-7-1","funder_id":"https://openalex.org/F4320321446","funder_display_name":"Aarhus Universitets Forskningsfond"},{"id":"https://openalex.org/G5506656310","display_name":null,"funder_award_id":"DFF-7026-00042B","funder_id":"https://openalex.org/F4320322928","funder_display_name":"Danmarks Frie Forskningsfond"}],"funders":[{"id":"https://openalex.org/F4320321446","display_name":"Aarhus Universitets Forskningsfond","ror":"https://ror.org/01aj84f44"},{"id":"https://openalex.org/F4320322928","display_name":"Danmarks Frie Forskningsfond","ror":"https://ror.org/02sptwz63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1033938421","https://openalex.org/W1577505202","https://openalex.org/W1580101844","https://openalex.org/W1743861851","https://openalex.org/W1756034312","https://openalex.org/W1777016212","https://openalex.org/W1919404870","https://openalex.org/W1993918491","https://openalex.org/W1995875735","https://openalex.org/W1998817683","https://openalex.org/W2023302299","https://openalex.org/W2024171325","https://openalex.org/W2060108852","https://openalex.org/W2107745473","https://openalex.org/W2110322986","https://openalex.org/W2119172358","https://openalex.org/W2122962290","https://openalex.org/W2129652681","https://openalex.org/W2161488606","https://openalex.org/W2168527534","https://openalex.org/W2171655636","https://openalex.org/W2214666174","https://openalex.org/W2270470215","https://openalex.org/W2289689155","https://openalex.org/W2343711956","https://openalex.org/W2475932436","https://openalex.org/W2478708596","https://openalex.org/W2504080024","https://openalex.org/W2549342384","https://openalex.org/W2601746789","https://openalex.org/W2780813414","https://openalex.org/W2782584810","https://openalex.org/W2789445408","https://openalex.org/W2790400697","https://openalex.org/W2886377182","https://openalex.org/W2887468056","https://openalex.org/W2898730610","https://openalex.org/W2909864759","https://openalex.org/W3010302802","https://openalex.org/W3045544090","https://openalex.org/W3047599943","https://openalex.org/W3098592065","https://openalex.org/W3102843100","https://openalex.org/W6683504902"],"related_works":["https://openalex.org/W4288568340","https://openalex.org/W3047599943","https://openalex.org/W4383723869","https://openalex.org/W2161302774","https://openalex.org/W2388481516","https://openalex.org/W4384298135","https://openalex.org/W4383722264","https://openalex.org/W1723410974","https://openalex.org/W3007688875","https://openalex.org/W2766695209"],"abstract_inverted_index":{"We":[0,135],"introduce":[1],"Titchy,":[2],"which":[3],"is":[4,20,34,109],"a":[5,41,104,147],"compression":[6,142,171,177],"method":[7,19],"for":[8,139,164],"time-series":[9],"data":[10,54,82,108,129],"generated":[11],"by":[12,86],"the":[13,29,92,96,120],"Internet":[14],"of":[15,44,107,114],"Things.":[16],"Our":[17,149],"proposed":[18],"flexible":[21],"and":[22,67,71,77,84,122,163,178],"has":[23],"several":[24],"advantages":[25],"when":[26,39,102],"applied":[27],"in":[28,55],"IoT":[30],"ecosystem:":[31],"1)":[32],"it":[33,52,59,79],"able":[35],"to":[36,49,91,98,144],"compress":[37],"even":[38],"only":[40,103,155],"small":[42,105],"amount":[43,106],"memory":[45],"can":[46],"be":[47],"allocated":[48],"it;":[50],"2)":[51],"compresses":[53],"tiny":[56],"chunks,":[57],"so":[58],"introduces":[60],"very":[61],"little":[62],"latency":[63],"during":[64],"online":[65],"operation":[66],"thus,":[68],"enables":[69],"frequent":[70,165],"timely":[72],"updates":[73],"with":[74,126],"compressed":[75,93],"data;":[76],"3)":[78],"facilitates":[80],"efficient":[81],"storage":[83],"retrieval":[85],"enabling":[87],"low-cost":[88],"random":[89,160],"access":[90,161],"data,":[94],"eliminating":[95],"need":[97],"decompress":[99],"large":[100],"chunks":[101],"requested.":[110],"To":[111],"evaluate":[112],"each":[113],"these":[115],"advantages,":[116],"we":[117],"have":[118],"implemented":[119],"compressor":[121],"conducted":[123],"extensive":[124],"experiments":[125],"long-term":[127],"real-world":[128],"captured":[130],"over":[131],"days":[132],"or":[133],"weeks.":[134],"also":[136,168],"present":[137],"results":[138],"seven":[140,158],"state-of-the-art":[141],"methods":[143],"act":[145],"as":[146,173,175],"baseline.":[148],"evaluation":[150],"shows":[151],"that":[152],"Titchy":[153],"not":[154],"outperforms":[156],"all":[157],"on":[159],"capability":[162],"transmissions":[166],"but":[167],"provides":[169],"great":[170],"ratios":[172],"well":[174],"high":[176],"decompression":[179],"speeds.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
