Since the details in quasi-homogeneous region will be degraded from a conventional global image enhancement methods such as histogram equalization. This degradation causes from the saturation of the gray levels in equalization process. Then the local histogram equalization for each quasi-homogeneous region will be used in order to improve the details in the regions. To obtain the quasi-homogeneous regions the image can be segmented by using a watershed transform. The watershed transform is based on mathematical morphology; therefore the segmented regions can be effectively separated meaningful. Two adjacent regions in images which almost similar in gray levels can be separted by the watershed transform. In the color image enhancement three spectral bands are enhanced independently. Then all the three bands are assigned to each processed image in order to produce a color composite image. By the proposed algorithm the result images show the better perception on image details. Therefore the high efficiency of image classification can be obtained by using this color image.

The purpose of the project is to study about the structure and details of Algorithm architecture of Michael Handsmayer by using details texture and appearance of dominant features to created details on clothes such as layering and folding to express a new design of amount 5 clothes. The method used in the study is descriptive analysis tool which analyzed about line symmetry prominent point and details that appearing on this architecture in each column and brought the result of analyzed to applied and designed clothes. According to the result of analyzed Algorithm architecture is made from more than a million layers provided the complex dimension and beautiful structure which depending on the result of calculated by computer. By that studied student was brought forms and lines of each column to specificated the silhouette of casual and special event clothes emphasizing special features of architecture to form the detail and used cutting techniques to make the multiple dimensions on clothes. Wearable and beautiful clothes with great details that interesting make them more outstanding from others.

Proportional plus integral controller has been widely used in permanent magnet synchronous motor (PMSM) drive system due to its simple structure while achieving zero steady-state error. However finding out the optimal parameters of the controller is not an easy task. For this reason this paper presents an automated optimization of proportional plus integral controller for permanent magnet synchronous motor drive system using genetic algorithms. Simulation and experimental results verify the effectiveness than ones of the trial and error method.

The data fusion is implement to take the survey data remotely from difference sources and have various looks to be combined to get a new agent. To get better quality of data we will present a method of fusion by wavelet transform with IHS Transformation method or PCA Transformation method. From the results showed that both IHS and PCA Transformation method able to be gotten high quality but the specifications of wave from damage is different.

A solar energy is most popular renewable energy source which can reduce usage of fuel in thermal generation and impact on environment. The solar energy is a clean and sustainable source. This paper proposed method of finding optimal locating and sizing of PV solar farm on the power system with minimize fuel costs by considering solar radiation in each location of solar farm. The bees algorithm (BA) is used to minimize fuel cost of thermal units by changing location and varying sizes of solar farm with security constraints of power system and solar radiation. IEEE 30 bus test system is used to verify the proposed method. The results show that the proposed method found the optimal position of solar farm with minimum economic cost