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Scalarization of Multi-Function Sensor Scheduling Problem

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F24%3APU155917" target="_blank" >RIV/00216305:26210/24:PU155917 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/10726299" target="_blank" >https://ieeexplore.ieee.org/document/10726299</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/NTSP61680.2024.10726299" target="_blank" >10.23919/NTSP61680.2024.10726299</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Scalarization of Multi-Function Sensor Scheduling Problem

  • Original language description

    The VERA-NG system is a multifunctional passive surveillance system that simultaneously fulfills several functions. Concerning the hardware resources, it must solve the problem of scheduling the tasks of individual functions. This problem is defined as a multiobjective optimization. This work aims to solve this problem with the goal programming scalarization technique. Using a simple simulation, we demonstrate the properties of this approach and summarize its advantages over other scalarization techniques.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the International Conference on New Trends in Signal Processing, NTSP 2024

  • ISBN

    978-80-8040-637-0

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    160-164

  • Publisher name

    IEEE

  • Place of publication

    NEW YORK

  • Event location

    Demanovska Dolina

  • Event date

    Oct 16, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001359397200027