M.Sc.

Design and realization of cellular neural networks for optimization and image processing

Abstract : Cellular Neural Network(CNN) used and tested in this work for solving many scientific problems in image processing, pattern recognition, and optimization by use of stored program with designed templates. As it is known, CNNs are locally interconnected arrays; these arrays consist of identical dynamical cells (neurons) that operate in parallel. The connection between cells is controlled by the designed template. These templates determine exclusively the CNN dynamic behavior.

English

Simulation of fault detection and identification of a simple aircraft model

Abstract : In general, it is difficult to automatically detect faults within large-scale engineering plants early during their onset. This is due to a number of factors including the large number of components typically present in such plants and the complex interactions of these components, which are poorly understood. Traditionally, fault detection within these plants has been performed through the use of status monitoring systems employing limit checking fault detection. .

English