Multidimensional Scattered Time-varying Scattered Data Meshless Interpolation for Sensor Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43971599" target="_blank" >RIV/49777513:23520/23:43971599 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-36805-9_7" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-36805-9_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-36805-9_7" target="_blank" >10.1007/978-3-031-36805-9_7</a>
Alternative languages
Result language
angličtina
Original language name
Multidimensional Scattered Time-varying Scattered Data Meshless Interpolation for Sensor Networks
Original language description
Interpolation and approximation of scattered scalar and vector data is a part of a solution of many engineering problems. The methods are based mostly on some triangulation of the data domain, usually limited to 2D or 3D data, followed by an interpolation or an approximation to obtain a smooth result. This contribution presents a meshless approach based on the Radial Basis Functions (RBF). It is nearly dimensionless and it enables interpolation of time varying data, i.e. interpolation of scattered spatio-temporal varying data, i.e. interpolation in space-time domain without “time-frames”. The meshless methods for scattered spatio-temporal data can be used for interpolation, approximation and evaluation of data acquired from buoys, sensor networks, sensors for tsunami, chemical and radiation detectors, ships and submarines detection, weather forecast, 3D vector fields compression and visualization, etc. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Science and Its Applications – ICCSA 2023. Lecture Notes in Computer Science
ISBN
978-3-031-36804-2
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
14
Pages from-to
99-112
Publisher name
Springer
Place of publication
Cham
Event location
Athens
Event date
Jul 3, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001166618800007