{"id":"https://openalex.org/W2584895092","doi":"https://doi.org/10.1109/bigdata.2016.7841087","title":"TPR*-tree Performance improvement for big tactical moving objects","display_name":"TPR*-tree Performance improvement for big tactical moving objects","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2584895092","doi":"https://doi.org/10.1109/bigdata.2016.7841087","mag":"2584895092"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7841087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7841087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5110519408","display_name":"Seungwoo Jeon","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungwoo Jeon","raw_affiliation_strings":["BK21PLUS Creative Human Resource Development, Program for IT Convergence, Pusan National University, Busan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BK21PLUS Creative Human Resource Development, Program for IT Convergence, Pusan National University, Busan, South Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112249545","display_name":"Jaegi Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaegi Hong","raw_affiliation_strings":["Dep. of Electrical and Computer Engineering, Pusan National University, Busan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dep. of Electrical and Computer Engineering, Pusan National University, Busan, South Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102777735","display_name":"Bonghee Hong","orcid":"https://orcid.org/0000-0002-4237-1761"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bonghee Hong","raw_affiliation_strings":["Dep. of Electrical and Computer Engineering, Pusan National University, Busan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dep. of Electrical and Computer Engineering, Pusan National University, Busan, South Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020522179","display_name":"Chumsu Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I2801036362","display_name":"Agency for Defense Development","ror":"https://ror.org/05fhe0r85","country_code":"KR","type":"government","lineage":["https://openalex.org/I1327899338","https://openalex.org/I1344042128","https://openalex.org/I2801036362","https://openalex.org/I2801339556"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chumsu Kim","raw_affiliation_strings":["Naval Combat Systems Department, Agency for Defense Development, Jinhae, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Combat Systems Department, Agency for Defense Development, Jinhae, South Korea","institution_ids":["https://openalex.org/I2801036362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2553,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58264439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2016","issue":null,"first_page":"3995","last_page":"3997"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9908000230789185,"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/T11106","display_name":"Data Management and Algorithms","score":0.9908000230789185,"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/T14270","display_name":"Simulation and Modeling Applications","score":0.9498999714851379,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12016","display_name":"Web Data Mining and Analysis","score":0.9459999799728394,"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":0.7280564308166504},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.653148889541626},{"id":"https://openalex.org/keywords/navy","display_name":"Navy","score":0.6488373279571533},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5319312810897827},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39383232593536377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25259557366371155}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7280564308166504},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.653148889541626},{"id":"https://openalex.org/C2776746162","wikidata":"https://www.wikidata.org/wiki/Q4508","display_name":"Navy","level":2,"score":0.6488373279571533},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5319312810897827},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39383232593536377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25259557366371155},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2016.7841087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7841087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"mag:2787098971","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702241027434286","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2133675752"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W105284539","https://openalex.org/W2133016033","https://openalex.org/W325941637","https://openalex.org/W2392732075","https://openalex.org/W309732083","https://openalex.org/W613675121","https://openalex.org/W1934879085","https://openalex.org/W2550967852"],"abstract_inverted_index":{"Because":[0],"the":[1,12,35,41,48,56,79,82,89,121],"number":[2],"of":[3,9,15,34,40,70],"tactical":[4,57,80],"moving":[5,58,71],"object":[6],"is":[7,44,96],"tens":[8],"thousands":[10],"and":[11,38,91],"location":[13],"information":[14],"them":[16],"should":[17,114],"be":[18,27,115],"updated":[19],"in":[20,62,78,120,139],"real":[21],"time":[22],"while":[23],"moving,":[24],"it":[25],"must":[26],"able":[28],"to":[29,54,75,105,128],"manage":[30,55],"a":[31,86,126],"large":[32],"amount":[33],"target":[36,43],"data":[37,134,138],"management":[39],"future":[42],"also":[45],"required":[46],"through":[47],"predicted":[49],"query.":[50],"We":[51],"have":[52],"proposed":[53],"objects":[59,72],"using":[60],"TPR\u2217-tree":[61,130],"our":[63],"previous":[64],"paper.":[65,141],"There":[66],"are":[67],"various":[68],"types":[69],"from":[73],"fighter":[74],"navy":[76],"vessel":[77,95],"system,":[81],"overlapped":[83,112,122],"area":[84,113],"between":[85],"MBR":[87,93],"with":[88,94,111,132],"fighters":[90],"another":[92],"much":[97],"bigger.":[98],"When":[99],"inserting":[100],"new":[101],"target,":[102],"this":[103,140],"leads":[104],"degrades":[106],"performance":[107,131],"that":[108],"all":[109],"MBRs":[110],"retrieved.":[116],"For":[117],"preventing":[118],"increases":[119],"area,":[123],"we":[124],"suggest":[125],"method":[127],"improve":[129],"selective":[133],"distinction,":[135],"especially":[136],"fast":[137]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
