Electronic and Communication - Engineering

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.

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. .

Abstract : The aim of this thesis can be divided into two main parts. In the first part an algorithm to solve the inverse kinematics problem of a complex structure robotic manipulator based on the rotation vector concept is presented. Solution of the inverse kinematics problem of the robotic manipulator represents one of the problems in the field of the robotic systems. In the proposed algorithm the orientation of the gripper is described with the aid of the rotation vectors too.