NDLI: Using Mobile Agents and Intelligent Data Analysis Techniques for Climate Environment Modeling and Weather Analysis and Prediction

Content Provider	IEEE Xplore Digital Library
Author	Ioan, M.R. Liliana, S.P.
Copyright Year	2008
Description	Author affiliation: Bucharest Univ. of Econ., Bucharest, Romania (Ioan, M.R.; Liliana, S.P.)
Abstract	The present paper deliberates an important aspect of the data analysis and predictions based on them in the climate environments. The main aspect is how data can arrive in a more efficient way to the central station and how to minimize the transport load in the network. The proposed architecture includes two data collecting ways from different sources. Through a dynamic environment modelling program called Stella, it is created a mobile agent architecture based on a dynamic model of a real environment for Apuseni Mountains area. A set of equations is realized to describe the proposed model. The communication model used, the coordination type between agents and the agents training process are discuss. This article presents also aspects of the intelligent analysis data techniques and phases that are used in order to evaluate data. The obtained results are combined afterwards with the risk factors, which affects the environment through the climatically and meteorological events.
Starting Page	316
Ending Page	319
File Size	364575
Page Count	4
File Format	PDF
ISBN	9780769535234
DOI	10.1109/SYNASC.2008.51
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-26
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data analysis Error analysis Weather forecasting climatic environment communication model Predictive models Environmental economics Intelligent agent Information analysis Mobile agents mobile agents weather analysis Economic forecasting Meteorology
Content Type	Text
Resource Type	Article

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