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
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Czech description
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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