In our present study, GARCH family models are used for modeling and forecasting the rice yield of four provinces of Pakistan during the period of 1947-48 to 2008-09. Also Auto regressive, moving average and Autoregressive moving average models are described. Thus, the selected GARCH models for all provinces are also presented for forecasting purpose on the basis of two criteria AIC (Akaike info...

This technical report outlines techniques and theories of generating live and simulating first person shooter game traffic for N specific players. We outline a two approaches. Firstly creating live network traffic using a tool called pktgen. Secondly we outline how to simulate using Omnet Network simulator and Network Simulator with a C library called ‘ArmaPktLen’. All approaches use a combinat...

False data injection attacks (FDIA) are a main category of cyber-attacks threatening the security power systems. Contrary to detection these attacks, less attention has been paid identifying attacked units grid. To this end, work jointly studies detecting and localizing stealth FDIA in grids. Exploiting inherent graph topology systems as well spatial correlations measurement data, paper propose...

Temperature forecasts and trend analyzes were carried out for several locations in Mali as an important tool warning of potentially threatening weather events such severe heat waves, storms, droughts floods, which could pose a great risk to humans their environment. Five (Segou, Sikasso, Kayes, Gao Taoudenni) across (170 00’N – 40 00’W) chosen this research work. Satellite data annual temperatu...

Spam has been one of the most difficult problems to be addressed since the invention of Internet. Outbound spam can reflect the information security level of an organization as most spam emails are generated by compromised computers. Understanding the trend of outbound spam can help organizations adopt proactive policies and measures toward a more informed decision on resource allocation in ter...

Streamflow forecasting is very important for water resources management and flood defence. In this paper two forecasting methods are compared: ARIMA versus a multilayer perceptron neural network. This comparison is done by forecasting a streamflow of a Mexican river. Surprising results showed that in a monthly basis, ARIMA has lower prediction errors than this Neural Network. Key-Words: Auto re...

Utilizing capacitor banks is very conventional in distribution network in order for local compensation of reactive power. This will be more important considering uncertainties including wind generation and loads uncertainty. Harmonics and non-linear loads are other challenges in power system which complicates the capacitor placement problem. Thus, uncertainty and network harmonics have been con...

This paper presents a self-organizing power system stabilizer (SOPSS) which use the fuzzy Auto-Regressive Moving Average (FARMA) model. The control rules and the membership functions of proposed the fuzzy logic controller are generated automatically without using any plant model. The generated rules are stored in the fuzzy rule space and updated on-line by a self-organizing procedure. To show t...