{"id":"https://openalex.org/W2566576750","doi":"https://doi.org/10.1109/uemcon.2016.7777869","title":"Real-time intragroup familiarity analysis model using beacon based on proximity","display_name":"Real-time intragroup familiarity analysis model using beacon based on proximity","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2566576750","doi":"https://doi.org/10.1109/uemcon.2016.7777869","mag":"2566576750"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon.2016.7777869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2016.7777869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","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/A5014032841","display_name":"Jung-In Choi","orcid":"https://orcid.org/0000-0003-2959-2268"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jung-In Choi","raw_affiliation_strings":["Department of Computer Science and Engineering, Ewha Womans University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Ewha Womans University, Seoul, South Korea","institution_ids":["https://openalex.org/I138925566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023156035","display_name":"Hwan-Seung Yong","orcid":null},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwan-Seung Yong","raw_affiliation_strings":["Department of Computer Science and Engineering, Ewha Womans University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Ewha Womans University, Seoul, South Korea","institution_ids":["https://openalex.org/I138925566"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014032841"],"corresponding_institution_ids":["https://openalex.org/I138925566"],"apc_list":null,"apc_paid":null,"fwci":1.6357,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90541374,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12720","display_name":"Multimedia Communication and Technology","score":0.9257000088691711,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.921500027179718,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7262043952941895},{"id":"https://openalex.org/keywords/bluetooth","display_name":"Bluetooth","score":0.5803752541542053},{"id":"https://openalex.org/keywords/bluetooth-low-energy","display_name":"Bluetooth Low Energy","score":0.5596854090690613},{"id":"https://openalex.org/keywords/desk","display_name":"Desk","score":0.5185075998306274},{"id":"https://openalex.org/keywords/amusement","display_name":"Amusement","score":0.5099107027053833},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4553154408931732},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4401169717311859},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4192211329936981},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.4191472828388214},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3532636761665344},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33991536498069763},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.23128461837768555},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19637009501457214},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14872294664382935},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1435869038105011}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7262043952941895},{"id":"https://openalex.org/C546215728","wikidata":"https://www.wikidata.org/wiki/Q39531","display_name":"Bluetooth","level":3,"score":0.5803752541542053},{"id":"https://openalex.org/C2776418194","wikidata":"https://www.wikidata.org/wiki/Q1638779","display_name":"Bluetooth Low Energy","level":4,"score":0.5596854090690613},{"id":"https://openalex.org/C2776545233","wikidata":"https://www.wikidata.org/wiki/Q1064858","display_name":"Desk","level":2,"score":0.5185075998306274},{"id":"https://openalex.org/C2779056813","wikidata":"https://www.wikidata.org/wiki/Q2844542","display_name":"Amusement","level":2,"score":0.5099107027053833},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4553154408931732},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4401169717311859},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4192211329936981},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.4191472828388214},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3532636761665344},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33991536498069763},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.23128461837768555},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19637009501457214},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14872294664382935},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1435869038105011},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon.2016.7777869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2016.7777869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","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":6,"referenced_works":["https://openalex.org/W78970110","https://openalex.org/W1969595988","https://openalex.org/W1982686915","https://openalex.org/W2072354298","https://openalex.org/W2126895033","https://openalex.org/W2167686542"],"related_works":["https://openalex.org/W2026217228","https://openalex.org/W2460679371","https://openalex.org/W1566557084","https://openalex.org/W4310175343","https://openalex.org/W1981475037","https://openalex.org/W2956056877","https://openalex.org/W2058711580","https://openalex.org/W2911404179","https://openalex.org/W2572635530","https://openalex.org/W2223325499"],"abstract_inverted_index":{"An":[0],"analysis":[1,72],"of":[2,13,20,78,149,176],"the":[3,18,52,86,89,92,104,124,128,139,143,147,174,200],"familiarity":[4,21,71,150,177],"between":[5,151],"users":[6],"in":[7,61,159,163,166,207],"a":[8,28,33,48,69,75,81,98,107,116,131,160,164,167,180],"group":[9],"requires":[10],"large":[11],"amounts":[12],"information.":[14],"We":[15],"could":[16,188],"determine":[17,199],"degree":[19,148,175],"by":[22,178],"using":[23,74],"personal":[24],"information":[25,79],"gleaned":[26],"from":[27],"social":[29],"networking":[30],"service.":[31],"For":[32],"realtime":[34],"service,":[35],"we":[36,64],"usually":[37],"use":[38],"video":[39],"data.":[40],"Unfortunately,":[41],"this":[42,62],"data":[43],"is":[44],"closely":[45],"related":[46],"to":[47,67,170,172,192,198],"user's":[49,132],"privacy,":[50],"so":[51,137],"user":[53,105],"may":[54],"feel":[55],"uncomfortable":[56],"about":[57],"its":[58,113],"use.":[59],"Therefore,":[60],"study,":[63],"set":[65],"out":[66],"devise":[68],"real-time":[70],"model":[73],"minimal":[76],"amount":[77],"and":[80,103,115,145,195,205],"Bluetooth":[82],"low-energy":[83],"beacon.":[84,108],"Unlike":[85],"traditional":[87],"approach,":[88],"devices":[90],"receiving":[91,127],"beacon":[93,110,129],"signal":[94,118],"are":[95],"placed":[96],"on":[97],"desk,":[99],"wall,":[100],"or":[101],"ceiling":[102],"carries":[106],"The":[109],"transmits":[111],"only":[112],"ID":[114],"received":[117],"strength":[119],"indication":[120],"(RSSI)":[121],"signal.":[122],"Using":[123],"device":[125],"for":[126],"signal,":[130],"location":[133,182],"can":[134,141],"be":[135,190],"monitored":[136],"that":[138],"server":[140],"analyze":[142,173],"intragroup":[144],"calculate":[146],"users.":[152],"This":[153,186],"study":[154],"addressed":[155],"those":[156],"situations":[157],"arising":[158],"party-like":[161],"event,":[162],"school,":[165],"company,":[168],"etc.":[169],"attempt":[171],"determining":[179],"person's":[181],"at":[183],"specific":[184],"times.":[185],"technology":[187],"also":[189],"applied":[191],"exhibitions,":[193],"parks,":[194],"amusement":[196],"parks":[197],"most":[201],"popular":[202],"exhibits,":[203],"spots,":[204],"facilities":[206],"real":[208],"time.":[209]},"counts_by_year":[{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}