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The Opto-Fiber Sensory System is used for Intrusion Detection Monitored Areas and to Prevent Demage

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU116236" target="_blank" >RIV/00216305:26220/15:PU116236 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.msline.cz/index.php?page=cdis-review&cislo=cdis-review-1-2015" target="_blank" >http://www.msline.cz/index.php?page=cdis-review&cislo=cdis-review-1-2015</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Opto-Fiber Sensory System is used for Intrusion Detection Monitored Areas and to Prevent Demage

  • Original language description

    The article deals with inovative system for distributed sensing based on optical fibers as sensors, which can help detect intrusions and unusual events along the optical fibre and to prevent from demages

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Czech Defence Industry Review

  • ISSN

    1802-4300

  • e-ISSN

  • Volume of the periodical

    22

  • Issue of the periodical within the volume

    1/2015

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    2

  • Pages from-to

    22-23

  • UT code for WoS article

  • EID of the result in the Scopus database