All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

PM Elasticity Evaluation Based on Statistical Kernel Density Estimators

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F21%3A00353106" target="_blank" >RIV/68407700:21340/21:00353106 - isvavai.cz</a>

  • Result on the web

    <a href="https://gams.fjfi.cvut.cz" target="_blank" >https://gams.fjfi.cvut.cz</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    PM Elasticity Evaluation Based on Statistical Kernel Density Estimators

  • Original language description

    The main objectives of this paper is to evaluate the hysteretic properties of materials using the Preisach-Mayergoyz (PM) model. A new kernel density estimation methods are proposed to describe the distribution in PM space. These kernel descriptions are based either on the projections of hysterons or on two-dimensional kernel estimator on specific support. These estimates are used to construct elasticity indexes, which are evaluated on the steal earthquake dampers.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/LTT18001" target="_blank" >LTT18001: Collaboration on experiments in Fermi National Accelerator Laboratory, USA</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

    SPMS 2020/21 Stochastic and Physical Monitoring Systems, Proceedings of the international conferences

  • ISBN

    978-80-01-06922-6

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    85-93

  • Publisher name

    České vysoké učení technické v Praze

  • Place of publication

    Praha

  • Event location

    Malá Skála

  • Event date

    Jun 24, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article