{"id":"https://openalex.org/W4411697301","doi":"https://doi.org/10.1145/3725472.3725477","title":"FlyTsViz: A Flight Time Series Data Visual Analytics System Based on Reduction Method","display_name":"FlyTsViz: A Flight Time Series Data Visual Analytics System Based on Reduction Method","publication_year":2025,"publication_date":"2025-02-21","ids":{"openalex":"https://openalex.org/W4411697301","doi":"https://doi.org/10.1145/3725472.3725477"},"language":"en","primary_location":{"id":"doi:10.1145/3725472.3725477","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3725472.3725477","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3725472.3725477","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 8th International Conference on Data Storage and Data Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3725472.3725477","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051181769","display_name":"Duosi Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Duosi Jin","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0006-9534-8908","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082787636","display_name":"Jianqiu Xu","orcid":"https://orcid.org/0000-0002-0929-5234"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiu Xu","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-0929-5234","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101594946","display_name":"Xujian Zhao","orcid":"https://orcid.org/0000-0003-4717-9231"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xujian Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0003-4717-9231","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, Sichuan, China","institution_ids":["https://openalex.org/I1297991670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051181769"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":1.1332,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7928799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"30","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9799000024795532,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9799000024795532,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9695000052452087,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.96670001745224,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/computer-science","display_name":"Computer science","score":0.7347373962402344},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.63115394115448},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6212689876556396},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5572359561920166},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5192992091178894},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5114680528640747},{"id":"https://openalex.org/keywords/data-reduction","display_name":"Data reduction","score":0.48593655228614807},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.4322890043258667},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28736239671707153},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.28670334815979004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1194675862789154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10684677958488464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7347373962402344},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.63115394115448},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6212689876556396},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5572359561920166},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5192992091178894},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5114680528640747},{"id":"https://openalex.org/C153914771","wikidata":"https://www.wikidata.org/wiki/Q5227343","display_name":"Data reduction","level":2,"score":0.48593655228614807},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.4322890043258667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28736239671707153},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.28670334815979004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1194675862789154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10684677958488464},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3725472.3725477","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3725472.3725477","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3725472.3725477","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 8th International Conference on Data Storage and Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3725472.3725477","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3725472.3725477","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3725472.3725477","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 8th International Conference on Data Storage and Data Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3188578225","display_name":null,"funder_award_id":"U23A20296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G323407693","display_name":null,"funder_award_id":"24KFSK01","funder_id":"https://openalex.org/F4320322559","funder_display_name":"Southwest University of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322559","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474"},{"id":"https://openalex.org/F4320323711","display_name":"Southwest University","ror":"https://ror.org/01kj4z117"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411697301.pdf","grobid_xml":"https://content.openalex.org/works/W4411697301.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1761167196","https://openalex.org/W2022805598","https://openalex.org/W2022858489","https://openalex.org/W2294510862","https://openalex.org/W2766149053","https://openalex.org/W3129937721","https://openalex.org/W3174728063","https://openalex.org/W4381326963","https://openalex.org/W4394983046","https://openalex.org/W4399171288","https://openalex.org/W4399171558","https://openalex.org/W4399527352"],"related_works":["https://openalex.org/W2186032312","https://openalex.org/W4226266853","https://openalex.org/W4210252074","https://openalex.org/W3092201768","https://openalex.org/W2796632413","https://openalex.org/W2740083192","https://openalex.org/W2794907032","https://openalex.org/W4255802207","https://openalex.org/W4299701476","https://openalex.org/W2904574413"],"abstract_inverted_index":{"The":[0,68],"rapid":[1],"development":[2],"of":[3,18,108,142],"unmanned":[4],"aerial":[5],"vehicles":[6],"(UAVs)":[7],"and":[8,29,38,46,60,73,82,105,128,134,154],"other":[9,164],"low-altitude":[10],"aircraft":[11],"technologies":[12],"has":[13,146],"dramatically":[14],"increased":[15],"the":[16,98,103,109,115,139,143],"volume":[17],"generated":[19],"flight":[20,66,87,151],"time":[21,56,124,160],"series":[22,57,161],"data.":[23,67,88,110],"These":[24],"data":[25,71,93,122,152,162],"contain":[26],"important":[27],"operational":[28],"performance":[30,141],"information":[31],"which":[32],"is":[33],"crucial":[34],"for":[35,43,65],"further":[36],"analysis":[37,61,153],"mining,":[39],"providing":[40],"valuable":[41],"insights":[42],"system":[44,62,69],"optimization":[45],"decision-making.":[47],"To":[48],"address":[49],"this":[50],"challenge,":[51],"we":[52],"develop":[53],"FlyTsViz,":[54],"a":[55],"reduction-based":[58],"visualization":[59,75,99,126],"specifically":[63],"designed":[64],"integrates":[70],"preprocessing":[72],"interactive":[74],"features,":[76],"enabling":[77],"users":[78],"to":[79,150,159],"efficiently":[80],"identify":[81],"understand":[83],"complex":[84],"patterns":[85],"within":[86],"FlyTsViz":[89,120,145],"employs":[90],"an":[91],"aggregation-based":[92],"reduction":[94],"method,":[95],"significantly":[96],"reducing":[97],"burden":[100],"while":[101],"maintaining":[102],"characteristics":[104],"analytical":[106],"accuracy":[107],"Experimental":[111],"results":[112],"show":[113],"that":[114],"aggregation":[116],"algorithm":[117],"used":[118],"by":[119],"balances":[121],"processing":[123],"with":[125],"integrity":[127],"outperforms":[129],"fixed-interval":[130],"sampling,":[131,133],"uniform":[132],"MaxMin":[135],"aggregation,":[136],"thus":[137],"improving":[138],"overall":[140],"system.":[144],"been":[147],"successfully":[148],"applied":[149],"can":[155],"be":[156],"easily":[157],"extended":[158],"from":[163],"domains,":[165],"offering":[166],"robust":[167],"support":[168],"across":[169],"various":[170],"industries.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}