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Space-Filling Curves based on Residue Number System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241724" target="_blank" >RIV/61989100:27240/18:10241724 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-319-65636-6_5" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-65636-6_5</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-65636-6_5" target="_blank" >10.1007/978-3-319-65636-6_5</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Space-Filling Curves based on Residue Number System

  • Original language description

    Space-filling curves are a useful tool for fast multidimensional space indexing, dimension reduction, and fast optimization of complex problems. Several curves such as Hilbert, Peano, Gray, Morton or Z-order were discovered, and their properties and features were intensely studied. In this paper, a new space-filling curve is described, and its features are analyzed and compared with the other space-filling curves. The novel algorithm for a space-filling curve is based on the Residue Number System that is extensively studied during the last thirty years. The proposed curve has specific behavior and may be controlled by several parameters.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GJ16-25694Y" target="_blank" >GJ16-25694Y: Multi-paradigm data mining algorithms based on information retrieval, fuzzy, and bio-inspired methods</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Lecture Notes on Data Engineering and Communications Technologies. Volume 8

  • ISBN

    978-3-319-65635-9

  • ISSN

    2367-4512

  • e-ISSN

    neuvedeno

  • Number of pages

    9

  • Pages from-to

    53-61

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Toronto

  • Event date

    Aug 24, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000434865700005