Carpathian Journal of Electrical Engineering

17-24

Authors: Ovidiu COSMA

This article proposes a steganography method that uses all three components of an image in the RGB color space to store secret data. The order in which the image pixels are processed is not given by their position within the image, but by their visual significance. In order to ensure the greatest possible embedding capacity, the image container is traversed in several passes, each expanding its capacity.

37-46

Authors: Ovidiu COSMA

The edge detection techniques have to compromise between sensitivity and noise. In order for the main contours to be uninterrupted, the level of sensitivity has to be raised, which however has the negative effect of producing a multitude of insignificant contours (noise). This article proposes a method of removing this noise, which acts directly on the binary representation of the image contours.

59-72

Authors: Lenin KANAGASABAI

In this paper, Improved Moth-Flame Optimization (IMFO) algorithm has been proposed for solving Reactive power problem. Navigation method of moths in nature called transverse orientation is the key inspiration of the moth-flame algorithm (MFO). By maintaining a fixed angle with respect to the moon, Moths fly in the night and it’s an effective mechanism for moths travelling in a straight line for long distances. Due to very slow convergence and poor precision, an improved version of MFO algorithm based on Levy-flight strategy has been proposed to solve the reactive power problem. The diversity of the population can be increased by Levy-flight to overcome premature convergence in order to reach the global optimal solution. This methodology improves the trade-off between exploration and exploitation ability of moth-flame algorithm (MFO).The proposed Improved Moth-Flame Optimization (IMFO) algorithm has been tested in standard IEEE 30,57,118 bus test systems and simulation results show clearly about the better performance of the proposed algorithm in reducing the real power loss with control variables within the limits.