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SOM on Interval Variables for Mobile Emergency Call Positioning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096562" target="_blank" >RIV/61989100:27240/15:86096562 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-21206-7_15" target="_blank" >http://dx.doi.org/10.1007/978-3-319-21206-7_15</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-21206-7_15" target="_blank" >10.1007/978-3-319-21206-7_15</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    SOM on Interval Variables for Mobile Emergency Call Positioning

  • Original language description

    Emergency call localization is an important step in the emergency call taking process. As more than 80 % of emergency calls are dialled from mobile phones, the localization of calls in mobile networks deserves highest attention. In this paper we describea model-based localization method which do not impose any special investments or modifications on the mobile network infrastructure. We create a model of the mobile network environment using the geographically referenced Self Organizing Map with interval values, trained on common measurements regularly performed by mobile network operator. Localization is then performed by finding the node of the model best matching to the characteristic vector of the call. (C) Springer International Publishing Switzerland 2015.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in intelligent systems and computing. Volume 370

  • ISBN

    978-3-319-21205-0

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    13

  • Pages from-to

    165-177

  • Publisher name

    Springer

  • Place of publication

    Basel

  • Event location

    Ostrava

  • Event date

    Jun 29, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article