{"id":"https://openalex.org/W3172686441","doi":"https://doi.org/10.1109/iccicc50026.2020.9450268","title":"Improvement of Data Fusion with Threading Technology in Home UbiHealth","display_name":"Improvement of Data Fusion with Threading Technology in Home UbiHealth","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3172686441","doi":"https://doi.org/10.1109/iccicc50026.2020.9450268","mag":"3172686441"},"language":"en","primary_location":{"id":"doi:10.1109/iccicc50026.2020.9450268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccicc50026.2020.9450268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 19th International Conference on Cognitive Informatics &amp; Cognitive Computing (ICCI*CC)","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/A5042877087","display_name":"John Sarivougioukas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105465","display_name":"General Hospital of Athens G. Genimatas","ror":"https://ror.org/00zq17821","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I4210105465"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"John Sarivougioukas","raw_affiliation_strings":["\u201cG. Gennimatas\u201d General Hospital, Athens, Greece","\"G. Gennimatas\" General Hospital, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"\u201cG. Gennimatas\u201d General Hospital, Athens, Greece","institution_ids":["https://openalex.org/I4210105465"]},{"raw_affiliation_string":"\"G. Gennimatas\" General Hospital, Athens, Greece","institution_ids":["https://openalex.org/I4210105465"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036592903","display_name":"Aristides Vagelatos","orcid":"https://orcid.org/0000-0001-7825-0550"},"institutions":[{"id":"https://openalex.org/I120729142","display_name":"Research Academic Computer Technology Institute","ror":"https://ror.org/021nszj63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I120729142","https://openalex.org/I4210154149"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Aristides Vagelatos","raw_affiliation_strings":["Computer Technology Institute & Press, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Computer Technology Institute & Press, Athens, Greece","institution_ids":["https://openalex.org/I120729142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042877087"],"corresponding_institution_ids":["https://openalex.org/I4210105465"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20494723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"21","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9958999752998352,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9958999752998352,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9886000156402588,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.9837999939918518,"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":0.7774683237075806},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.7393082976341248},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.7271915078163147},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5582632422447205},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5449541807174683},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5023000240325928},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.47800198197364807},{"id":"https://openalex.org/keywords/data-type","display_name":"Data type","score":0.44167348742485046},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.42238712310791016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4198186695575714},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3946654200553894},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37392091751098633},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11447775363922119}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7774683237075806},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.7393082976341248},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.7271915078163147},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5582632422447205},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5449541807174683},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5023000240325928},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47800198197364807},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.44167348742485046},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.42238712310791016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4198186695575714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3946654200553894},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37392091751098633},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11447775363922119},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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:10.1109/iccicc50026.2020.9450268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccicc50026.2020.9450268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 19th International Conference on Cognitive Informatics &amp; Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1512921847","https://openalex.org/W1587782513","https://openalex.org/W1926350444","https://openalex.org/W1963966612","https://openalex.org/W1968736254","https://openalex.org/W2007766753","https://openalex.org/W2031906600","https://openalex.org/W2044776391","https://openalex.org/W2053101950","https://openalex.org/W2113463819","https://openalex.org/W2128428758","https://openalex.org/W2132996183","https://openalex.org/W2165416818","https://openalex.org/W2291109444","https://openalex.org/W2323142291","https://openalex.org/W2334062286","https://openalex.org/W2406109771","https://openalex.org/W2810311542","https://openalex.org/W2904900506","https://openalex.org/W4256065371","https://openalex.org/W6635102071","https://openalex.org/W6640694511","https://openalex.org/W6713709099"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W2154495931","https://openalex.org/W235585396","https://openalex.org/W3010042052"],"abstract_inverted_index":{"According":[0],"to":[1,74,109,144],"the":[2,9,14,22,30,35,39,71,92,95,106,112,121,137,148,155,159,166,179],"ubiquitous":[3],"computing":[4,170],"paradigm,":[5],"dispersed":[6],"computers":[7,32,153],"within":[8,128],"home":[10],"environment":[11],"can":[12],"support":[13],"residents'":[15],"health":[16],"by":[17,178],"being":[18],"aware":[19],"of":[20,29,38,51,62,94,98,114,124,147,151,158,168],"all":[21],"developing":[23],"and":[24,172,184],"evolving":[25],"situations.":[26],"The":[27,175],"context-awareness":[28],"supporting":[31],"stems":[33],"from":[34],"data":[36,73,85,101,113,126,156],"acquisition":[37],"occurring":[40],"events":[41],"at":[42],"home.":[43],"In":[44,136],"some":[45],"cases,":[46],"different":[47],"sensors":[48],"provide":[49],"input":[50,63,78,116],"identical":[52],"type,":[53],"thereby":[54],"raising":[55],"conflict-related":[56],"issues.":[57],"Thus,":[58],"for":[59,81,154],"each":[60,115],"type":[61,117],"data,":[64],"fusion":[65,86,122,157],"methods":[66,87],"must":[67,88],"be":[68,89],"applied":[69,90],"on":[70,91],"raw":[72],"obtain":[75],"a":[76],"dominant":[77],"value.":[79],"Also,":[80],"diagnostic":[82],"inference":[83],"purpose,":[84],"values":[93],"available":[96],"classes":[97],"multiple":[99],"contextual":[100,160],"structures.":[102],"Dempster-Shafer":[103],"theory":[104],"offers":[105],"algorithmic":[107],"tools":[108],"efficiently":[110],"fuse":[111],"or":[118],"class.":[119],"However,":[120],"manipulations":[123],"large":[125],"volumes":[127],"strict":[129],"time":[130],"limits":[131],"impose":[132],"significant":[133],"computational":[134],"overhead.":[135],"present":[138],"work,":[139],"threading":[140],"technology":[141],"is":[142],"employed":[143],"take":[145],"advantage":[146],"processing":[149],"capabilities":[150],"modern":[152],"parameter":[161],"sensor":[162],"readings,":[163],"along":[164],"with":[165],"selection":[167],"appropriate":[169],"architectures":[171],"matching":[173],"algorithms.":[174],"advantages":[176],"offered":[177],"proposed":[180],"approach":[181],"are":[182],"presented":[183],"analyzed.":[185]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
