Thesiss

The Transmission Expansion Planning Problem was solved using the Artificial Intelligent (AI) methods. These methods combine three techniques, which are Artificial Neural Network (ANN), Genetic Algorithm (GA) and Tabu Search (TS). The main goal is to minimize the investment and t…

It is a well-known fact that installation of capacitors in power systems, especially at the distribution levels, results in considerable economical benefits. However, the extent to which these benefits are achieved depends on how the capacitors are placed on the system. Due to t…

A new design technique, based on genetic algorithms, for null steering in Partially adaptive antenna arrays by controlling the minimum number of element positions is presented. This technique shows the possibility of placing nulls in the radiation pattern to suppress interferenc…

This thesis introduces a new approach for the control of air pollutant emissions. This technique uses electron beam radiation and ammonia (NH 3) injection to simultaneously oxidize organic pollutants and reduce nitrogen oxide (NO). The objective of this research is to develop a …

The heavily distorting channels limit the use of linear equalizers and the use of the nonlinear equalizers becomes admissible. Most nonlinear equalizers, e.g. Voltera type, are usually too complicated to meet real-time processing demands. Neural networks-based equalizers, especi…

Finite time thermodynamic models which simulate the working of actual vapor compression refrigeration systems are developed. The characteristic performance curves of the refrigeration systems that include simple vapor compression system, mechanical subcooling and two-stage syste…