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On Abrupt Changes of the Approximate and Sample Entropy Values in Supercomputer Power Consumption

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F21%3A10248388" target="_blank" >RIV/61989100:27740/21:10248388 - isvavai.cz</a>

  • Result on the web

    <a href="https://iopscience.iop.org/article/10.1088/1742-6596/1730/1/012062" target="_blank" >https://iopscience.iop.org/article/10.1088/1742-6596/1730/1/012062</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1088/1742-6596/1730/1/012062" target="_blank" >10.1088/1742-6596/1730/1/012062</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Abrupt Changes of the Approximate and Sample Entropy Values in Supercomputer Power Consumption

  • Original language description

    When calculating the Approximate Entropy (ApEn) and the Sample Entropy (SampEn) of a time series, representing the course of supercomputer power consumption, seemingly unexplained abrupt changes sometimes appear. These sudden changes occur when calculating the course of ApEn and SampEn values using a floating time window and can be manifested also in other discrete-valued time series, such as the development of prices on stock exchanges, time series from birth-death models, count-data time series, etc. These abrupt changes are not continuous and it is clear that they do not reflect real changes in the complexity degree of the analyzed time series. This can cause erroneous detection of a change in the degree of complexity of the time series, which can trigger a false alarm that something unusual is happening in the complex system being monitored (human brain, engine gearbox, financial market, supercomputer infrastructure, etc.). This work reveals in detail the mechanism of this phenomenon and also proposes measures to prevent its occurrence.

  • 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/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Journal of Physics: Conference Series. Volume 1730

  • ISBN

  • ISSN

    1742-6588

  • e-ISSN

    1742-6596

  • Number of pages

    9

  • Pages from-to

    1-9

  • Publisher name

    IOP Publishing

  • Place of publication

    Bristol

  • Event location

    Tinos

  • Event date

    Sep 7, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article