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
Link To Document :
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