• DocumentCode
    2809740
  • Title

    Design-Time Learning for Operational Planning Improvement

  • Author

    Martinez, Daniel J. ; Marin, Juan M. ; Bernal, Jorge ; Gil, Manuel ; Gomez-Skarmeta, Antonio F.

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Univ. of Murcia, Murcia
  • fYear
    2008
  • fDate
    25-31 Aug. 2008
  • Firstpage
    326
  • Lastpage
    331
  • Abstract
    This document describes how the DESEREC framework can be enhanced through the usage of an offline learning loop. This mechanism consists basically of computational methods and techniques which enable the framework to gradually improve the effectiveness of its behaviour, by analysing internal data produced by some of the modules, applying some learning algorithms to them and to the information received from the administrator and using then the results for enhancing the framework operation. The learning loop presented here is strictly related to the improving the quality of the generated operational configurations, which is achieved by adjusting the decisions made by the Planning module while carrying out its task.
  • Keywords
    learning (artificial intelligence); DESEREC framework; computational method; design-time learning; offline learning loop; operational planning improvement; Algorithm design and analysis; Communication system security; Data analysis; Design engineering; Gas insulated transmission lines; Humans; Information analysis; Information security; Marine technology; Technology planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Security Information, Systems and Technologies, 2008. SECURWARE '08. Second International Conference on
  • Conference_Location
    Cap Esterel
  • Print_ISBN
    978-0-7695-3329-2
  • Electronic_ISBN
    978-0-7695-3329-2
  • Type

    conf

  • DOI
    10.1109/SECURWARE.2008.57
  • Filename
    4622602