{"id":"https://openalex.org/W2983026258","doi":"https://doi.org/10.23919/apnoms.2019.8892955","title":"DTCluster: A CFSFDP Improved Algorithm for RFID Trajectory Clustering Under Digital-twin Driven","display_name":"DTCluster: A CFSFDP Improved Algorithm for RFID Trajectory Clustering Under Digital-twin Driven","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2983026258","doi":"https://doi.org/10.23919/apnoms.2019.8892955","mag":"2983026258"},"language":"en","primary_location":{"id":"doi:10.23919/apnoms.2019.8892955","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apnoms.2019.8892955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS)","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/A5075239262","display_name":"Mengnan Cai","orcid":"https://orcid.org/0000-0001-5166-7620"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengnan Cai","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Information Engineering, School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Information Engineering, School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050849944","display_name":"Siye Wang","orcid":"https://orcid.org/0000-0001-7645-1949"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siye Wang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Information Engineering, School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Information Engineering, School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041252611","display_name":"Qinxuan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinxuan Wu","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073034295","display_name":"Yijia Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]},{"id":"https://openalex.org/I1295339012","display_name":"Boeing (United States)","ror":"https://ror.org/04sm5zn07","country_code":"US","type":"company","lineage":["https://openalex.org/I1295339012"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yijia Jin","raw_affiliation_strings":["The Boeing Company, Seattle, USA"],"affiliations":[{"raw_affiliation_string":"The Boeing Company, Seattle, USA","institution_ids":["https://openalex.org/I58610484","https://openalex.org/I1295339012"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083309070","display_name":"Xinling Shen","orcid":"https://orcid.org/0000-0001-7650-9338"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinling Shen","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Information Engineering, School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Information Engineering, School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075239262"],"corresponding_institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11512766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.996399998664856,"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"}},"topics":[{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.996399998664856,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9711999893188477,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8724137544631958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7934825420379639},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6127254366874695},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4550945460796356},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42415714263916016},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3978634774684906},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.364697128534317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.345538854598999},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3318139910697937}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8724137544631958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7934825420379639},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6127254366874695},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4550945460796356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42415714263916016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3978634774684906},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.364697128534317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.345538854598999},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3318139910697937},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apnoms.2019.8892955","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apnoms.2019.8892955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2051037057","https://openalex.org/W2165835468","https://openalex.org/W2317992223","https://openalex.org/W2335909627","https://openalex.org/W2464278975","https://openalex.org/W2597150627","https://openalex.org/W2787688993","https://openalex.org/W2793112928","https://openalex.org/W2794352515","https://openalex.org/W2798830695","https://openalex.org/W2804480315","https://openalex.org/W2805360001","https://openalex.org/W2808083755","https://openalex.org/W2888238844","https://openalex.org/W2888879354","https://openalex.org/W2894817759","https://openalex.org/W2903503139","https://openalex.org/W2913472037","https://openalex.org/W3209398723"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W4360995134","https://openalex.org/W4248382324","https://openalex.org/W3023605104","https://openalex.org/W2039473718","https://openalex.org/W2387529410","https://openalex.org/W2383578611","https://openalex.org/W2987583674"],"abstract_inverted_index":{"In":[0,103,211],"the":[1,8,19,43,49,52,58,91,106,114,117,124,128,140,143,158,166,182,189,205,216],"field":[2],"of":[3,32,39,116,130,145,220],"indoor":[4,23],"monitoring,":[5],"to":[6,112,122,177,180],"analyze":[7,48],"track":[9,118],"data":[10],"collected":[11],"by":[12],"RFID":[13],"readers":[14],"effectively":[15],"and":[16,34,89,99,121,142,173,218],"intuitively":[17],"is":[18,25,57,81,110,171],"critical":[20],"issue.":[21],"The":[22,37,77,150],"environment":[24],"usually":[26],"crowded":[27],"with":[28],"a":[29,67,82],"large":[30],"number":[31],"flexible":[33],"mobile":[35],"obstacles.":[36],"movements":[38],"obstacles":[40],"always":[41],"change":[42],"road":[44,54,93,160,196,208],"network":[45,55,94,161,209],"structure.":[46],"To":[47,61],"trajectories":[50,132],"under":[51],"labile":[53],"constrains":[56],"key":[59],"problem.":[60],"solve":[62],"this":[63],"problem,":[64],"we":[65,214],"propose":[66],"trajectory":[68,151],"clustering":[69,125,152,190],"method":[70],"based":[71],"on":[72,165],"digital-twin":[73,79,168],"technology":[74],"called":[75],"DTCluster.":[76],"proposed":[78,167],"model":[80],"virtual":[83,100],"digital":[84],"model,":[85],"which":[86,184],"can":[87,200],"extract":[88],"display":[90,164],"changing":[92,159],"structure":[95],"through":[96],"real-time":[97],"mapping":[98],"simulation":[101],"functions.":[102],"our":[104,155,212],"paper,":[105,213],"original":[107,194],"CFSFDP":[108],"algorithm":[109],"improved":[111],"reduce":[113],"influence":[115],"missing":[119],"points":[120],"enhance":[123],"effect":[126],"in":[127,133,154,188,193,204],"face":[129],"unequal":[131],"length.":[134],"We":[135],"also":[136],"take":[137],"two":[138],"parameters:":[139],"speed":[141],"direction":[144],"moving":[146],"targets":[147],"into":[148],"account.":[149],"results":[153,191],"DTCluster":[156,179,221],"follow":[157],"for":[162,175],"synchronous":[163],"model.":[169],"It":[170],"convenient":[172],"effective":[174],"researchers":[176],"use":[178],"find":[181],"problems":[183,199],"cannot":[185],"be":[186,202],"observed":[187,203],"displayed":[192],"planned":[195],"network.":[197],"These":[198],"only":[201],"current":[206],"changed":[207],"environment.":[210],"demonstrate":[215],"validity":[217],"intuition":[219],"byexprimental":[222],"results.":[223]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}