This research is to study and develop a DC motor speed control by using Visual Basic.Net 2008 in computer programming to use the computer and the microcontroller is processing from computer via the serial port. So that a signal to the motor driver circuit motor speed work as assigned. By the speed can be entered via the computer screen is measured in rpm. and motor control to control the PWM (Pulse Width Modulation) control circuit and the principles of the hardware by using the digital output signal of the microcontroller control Motor speed can be configured to be from 100 to 3000 rpm. And the motor starts to spin at maximum speed and then gradually reduce the speed down to the specified value. Control both the speed and the average error of 4.6% compared to the speed measurement using infrared light. And found that at speeds below 100 rpm. to a maximum error of 12% and the error decreases when the speed increases. The error value is at least 2000 rpm. and 3000 rpm the speed error is 0.5%

The objectives of this research were to study the effect of temperature on the roasted of paddy Sungyod Phatthalung rice with moisture content up to 12 percentage for popped rice production. Nutritional values including protein fat ash moisture content antioxidant activity and anthocyanin compound were studies. The temperatures used in roasting popped rice were three levels of 200 220 and 240 degrees Celsius. The result showed that all three temperature levels does not different effected to amount of protein fat ash and moisture content in popped rice. It was not statistically significant difference (p<0.05. Whereas the amount of anthocyanin compound and antioxidant activity decreased as the temperature increased. Temperature of 200 degree Celsius had the highest of anthocyanin and antioxidant activity showed 2.73 and 76.95 percentage respectively. It was statistically significant difference (p>0.05). The nutritional values in popped rice were lower than start paddy rice. The experiment showed that temperature was effected to reduced of nutritional values. Temperature range of studied indicated minimum decrease nutrition values of anthocyanin and antioxidant activity for the roasted popped rice was 200 degree Celsius.

This research were to study learning behavior and the relationship between learning behavior and academic achievement of students in taxation. The samples were students who studying management at the faculty of Business Administration and Liberal Art at RMUTL-Nan. The instruments for collecting data were behavior observation and tests. The statistical methods for analyzing data were mean and Pearson Product-Moment Correlation Coefficient. The results showed that the students’ learning behavior in taxation was at good level but the average achievement was moderate score: 63.81 out of 100 scores (C). The students’ learning behavior of five domains found that the intention of punctuality timely attention responsibility and attendance were good. Their understanding behavior was moderate. There was positive statistically significant relationship between learning behaviors and academic achievement of students in taxation at 0.01 levels. The correlation coefficient was 0.703.The learning behaviors could predict the academic achievement as 49.40 percent.

This research presents the development of food exchange list program for individual person by using local search technique. Controlling conditions of the research the nutrients calculated of carbohydrate protein and fat must be less than 3 grams/day and 30 Kcal/day for energy has also been controlled. All development has been done on laptop computer. The results show that the averaged search time and the averaged search iteration are 2.8176 seconds and 2484 iterations respectively. The variations of carbohydrate protein and fat are –0.2683 +0.015 –0.6 grams respectively. The proposed local search technique can reduce the time of calculate up to 1278 times per case study when compared with training people.

This paper is a presentation of the Load-Frequency Control (LFC) of Interconnected Power System by using Fuzzy Logic and Artificial Neural Network (ANN) Controller. The both of controller have been widely applied for handling the system control of Industries and Engineering. Since the Load-Frequency behaviors of power system of uncontrolled and PI- Controller or Fuzzy Logic Controller (FLC) wanted to the stability at first of energize and load in a short time. The control system and controller then be significant for to go forward reform stability of interconnected energize power system a short time. In this research we have the Load-Frequency Controller of Interconnected Power System by using Artificial Neural Network Controller the improved can compared with conventional Fuzzy Logic Controller at power total 47.55 MW and load changing of power plan No.3 is 0.02 p.u. (1.75 MW)