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Temperature Measurement of Highly Heated Materials with Neural Networks Exploitation.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F04%3A00010146" target="_blank" >RIV/61989100:27360/04:00010146 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Temperature Measurement of Highly Heated Materials with Neural Networks Exploitation.

  • Original language description

    We often encounter with requirement to know the temperature field of heated materials in the process of controlling technological procedures. In cases of highly heated materials, the information about temperature field of their surfaces can be obtained from picture colour analysis that was taken by standard scanning apparatus, such as digital cameras or cameras. Since the light conditions are different case to case, the exploitation of artificial intelligence - in this case artificial neural networks -seems to be useful device for temperature evaluating.

  • Czech name

    Měření teplot vysoce ohřátých materiálů s využitím neuronových sítí

  • Czech description

    Měření teplot vysoce ohřátých materiálů s využitím neuronových sítí

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JG - Metallurgy, metal materials

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA106%2F02%2F0086" target="_blank" >GA106/02/0086: Rationalization of a maintenance of metallurgical aggregates with exploitation of dependability models and with complex approaches at the realization</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2004

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Sborník ICCC 2004

  • ISBN

    83-89772-00-0.

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    573-578

  • Publisher name

    Faculty of Mechanical Engineering and Robotics AGH - UST Krakow

  • Place of publication

    Krakow

  • Event location

    Krakow

  • Event date

    May 25, 2004

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article