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 Bibliografske baze podataka

Pregled bibliografske jedinice broj: 877361

Časopis

Autori: Lukić, Ivica; Köhler, Mirko; Galba, Tomislav
Naslov: Improved Algorithm For Distributed Points Positioning Using Uncertain Objects Clustering
Izvornik: Tehnički Vjesnik-Technical Gazette (1330-3651) 26 (2019), 2; 283-288
Vrsta rada: članak
Ključne riječi: Clustering ; Data Mining ; Euclidian Distance ; Information Service ; Positioning
Sažetak:
Positioning of mobile objects that require communication with some kind of online service application is very challenging task. Proper positioning with minimal deviation ensures that mobile service system (MSS) e.g. taxi service used in this paper, would complete its tasks to the end users and reduce overall travel distance. This paper is focused on development of the algorithm that will find the best location for MSS object and to improve its efficiency when uncertain data clustering is used. If best location for the mobile system object is chosen, then the respond time can be minimized and the given tasks could also be performed in a reasonable time. Improved bisector pruning method was proposed for clustering previous data of MSS objects to find the best location for its application. Cluster centres are used as best locations for MSS objects. In this way, total expected distance from tasks that have been set to the service system is minimized. Therefore, MSS will be improved and capable to fulfil more tasks during the shortest period of time.
Izvorni jezik: ENG
Rad je indeksiran u
bazama podataka:
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo,Informacijske i komunikacijske znanosti
URL Internet adrese: https://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=320392
Broj citata:
Altmetric:
DOI: 10.17559/TV-20151109144645
URL cjelovitog teksta:
Časopis izlazi u samo elektroničkom izdanju: NE
Google Scholar: Improved Algorithm For Distributed Points Positioning Using Uncertain Objects Clustering
Upisao u CROSBI: Ivica Lukić (ivica.lukic@etfos.hr), 26. Svi. 2017. u 07:49 sati



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