The purpose of this research was identifying mechanisms for the development of human resources in Khouzestan sugarcane agro industrial company, Iran. This is an applied study and the research method was descriptive correlative. The population consisted of employees working in the sugarcane agro industrial company in the province of Khuzestan, Iran(N=315). One hundred and seventy five people wer...

In the Modern Power System Scenario, Power System damping controllers are widely used in industry to damp the Low Frequency Inertial Oscillations experienced due to disturbance in the System. In this paper, an Swarm intelligence based Algorithm namely Particle Swarm Optimization algorithm (PSO) is implemented to compute the Optimal value of the damping controller parameters to enhance Small sig...

The multiple classifier system (MCS) is an effective automatic classification method, useful in connection with remote sensing analysis techniques. Combining MSC with induced fuzzy topology enables a decomposition of image classes. This fuzzy topological MCS then provides a new and improved approach to classification. The basic classification methods discussed in this paper include maximum like...

Over the years, a number of dimensionality reduction techniques have been proposed and used in chemo informatics to perform nonlinear mappings. Nevertheless, data visualization techniques can be efficiently applied for dimensionality reduction mainly in a case if the data are not really high-dimensional and can be represented as a nonlinear low-dimensional manifold when it is possible to reduce...

In this paper Aitken’s extrapolation normally applied to convergent fixed point iteration is extended to extrapolate the solution of a divergent iteration. In addition, higher order Aitken extrapolation is introduced that enables successive decomposition of high Eigen values of the iteration matrix to enable convergence. While extrapolation of a convergent fixed point iteration using a geometri...

Eigenface approach is one of the simplest and most efficient methods for face recognition. In eigenface approach chosing the threshold, value is a very important factor for performance of face recognition. In addition, the dimensional reduction of face space depends upon number of eigenfaces taken. In this paper, an optimized solution for face recognition is given by taking the optimized value ...