This paper presents the development of an initial rotor position estimation of permanent magnet synchronous motors (PMSM) without a position sensors drives with embedded digital signal controller. The principle of the estimation is based on induced voltage of electromagnetic flux by injecting high-frequency voltage at standstill. The controller is embedded digital signal controller (DSC) due to the small and cheap controller. Experimental results show that changing initial frequency capable of reliable.

In present there are widely use robot in many fields. Mobile robot can help us in several task such as moving to toxic area risk area or explosion area mine. Movement control can be used in many ways. This paper proposed mobile robot that move by wheels. It move to previous defined picture. By using small camera process an images and check it that is the previous one by using neural network. If it is robot will move toward to that picture. The movement is in flat plane. If that defined picture is not in center robot will move to left or right depend on its position until it is on center. This paper proposed image processing only.

This research considers the vehicle routing problem in a specific bakery making company where is located in Bangkok. This company has to produce and deliver the bakeries to its customers everyday. Until now this mentioned company generates the delivery’s route by using the experience taken from the company’s truck driver. The company has to daily use the route with unnecessary long distances. According to the given statement this research aims to develop algorithm to generate the delivery route for this company by using the Genetic Algorithm in order to minimize the transportation distances.

This research aimed to design and construct a forecasting support system on demand of fresh durian of Thailand by applying 2 mathematical models which were Time Series model and Artificial Neural Network model in order to find an accurate model of forecasting support system on demand of durian yield to forecast durian yield quantity of Thailand in advance and use the forecast results to plan and determine quantity of fresh durian and durian product conforming with domestic consumption and export in order not to be over demand and cheap durian sold price. The forecast models were applied with Time Series model by using Moving Average Weighted Moving Average Single Exponential Smoothing and Holt’s Linear Exponential Smoothing techniques and Back Propagation of Artificial Neural Network model which used 4 input variables relating to durian yield. All of the forecast models were used to forecast total durian yield quantity in 26 provinces of durian cultivated area all around Thailand. Durian yield quantity data used was from 1996 to 2008. After that the forecast results were used to find the errors of MAE MSE RMSE and MAPE. Then the errors of each forecast model were compared. The forecast model which had the least error was the most accurate forecast model. The research result is following. Back Propagation with 4-8-1 structure of Artificial Neural Network model had the least error so that it was the most accurate forecast model to forecast fresh durian yield quantity in advance.

This research was to develop the computer application program which was called CivilLabPro for civil engineering laboratory. It consists of analytical part and educational part. Both are designed to use database together and they can use either personal computer or internet system. The analytical part is composed of 15 soil mechanics laboratory and 16 materials testing laboratory that it was written by using visual basic language and it could report not only numerical formats but also graphical results. The results of calculation were stored with database system which wrote by using SQL language. The educational part comprises self study and self exam that it was written by using HTML language and SQL language. The effectiveness of this application was evaluated by questionnaire and opinion in items as follows: easiness of usability accuracy of results and rightness of subject matter. From the evaluated results found that most people are satisfied with this application and the results were accuracy. This evaluation was summarized that it was good standard and it was capable to use in electronic teaching and working.