This project is intended as a teaching medium air conditioning system and simulation of air conditioning system problems. Some of them have been modified to suit their teaching needs. Arduino microcontrollers are used to control the system. By starting the study of the air conditioning system thoroughly. The microcontroller is written to control the operation of devices like the air conditioning system when the system malfunction. It will be used to analyze the problems of air conditioning. The experimental set will display the voltage and current. The connection points of the air conditioning problem analysis. When the symptoms are bad. The analyst can solve the problem by connecting or pressing the button of the device. The results of the project. The test will measure the difference of the air conditioning unit. And read the amount of current and volume in the system. To diagnose abnormalities and choose a solution to the problem from the kit system that can be displayed to solve the problem that the analyst was correct or not with the LED status light. Based on the performance test a demonstration kit for the demonstration of efficiency of the air conditioning system was provided to 10 experienced air conditioning technicians. 80s of issues. The reliability of the demonstration set and the efficiency of the simulator case study of the electrical system in air conditioning systems is acceptable

Nowadays the measurement technologies are continually growth in advanced. These can be seen in the developed and developing countries that research and develop the products which support the consumer behavior and/or country economy ic growth. However some advanced products are very expensive such as pH meter. Therefore this thesis develops the pH meter which allows the acid-base test of the water and it can be supported the agriculture. The proposed pH meter is included the pH pen sensor temperature sensor water level sensor. The proposed meter can measure the acid-base of the water by sending SMS alert signal via GSM module to the mobile phone of the farmer. As can be seen this thesis can prevent and solve the effect of the high acid-base of the water that possibly flows into the agriculture farm via using SMS alert signal of the mobile phone of the farmer.

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.

Currently competition in terms of resolution and contrast of photos from digital cameras are widely mentioned. The higher resolution the photos contain; the more details the picture has. This fact enables the more details of pictures which also hold much more capacity of data. This also causes the electronic devices to be updated all the time to cope with those problems. Therefore the conventional devices are obsolete. This research has been developed and applied to improve digital photos with high contrast. The researcher has solved the problems by keeping the average error of the lowest results and improving heat histogram of various curves. The heat will break the histogram of the original image into n part by the concave side of the heat histogram. The part of this histogram is equal to n+1 and then smooth each other heap histogram independently. The result showed that the Tennengrade or contrast of the image is higher than the original one. However it can retain brightness errors (AMBE) as well

The segmentation of interesting objects within the image is an important process to provide information for other procedures. The major problem of image segmentation is the number of objects suitable for classifying objects. This research aims to present on Image Segmentation using Fuzzy C- Mean Via Image Filter. The objects will be split up using their object intensities. The proposed method can classify several objects at the same process. Therefore it saves time to process less than other existing methods. The proposed method is consisted of three steps: noise reduction histogram smoothing and object classification. The results of the proposed method found that objects are automatically classified by Fuzzy C-Mean. Moreover the algorithm that successfully calculates the proper number of segmentations