This paper presents an analysis of transformer faults to determine the damage occurring within the transformer by the frequency response analysis (FRA) method. Enter the frequency from 10 Hz to 3 MHz and then the measured value is compared to the standard reference value. Consider the different graphs of frequency response in various frequency ranges to analyze the deformation of the iron cores and transformer coils to know the internal condition of the transformer. The tests show that the 50 MVA 115 kV/22 kV transformer has severe damage to the high voltage side and low voltage side of phase-A coil. As a result the transformer can not be used in the power system and make a reminder to repair the transformer.

This research presents the engineering properties of asphalt (AC 60/70) modified with different ratios of scrap natural rubber. Then select the best properties of the binder to mix asphaltic concrete. From laboratory testing results with adding 7% scrap natural rubber into mixtures for the best results. The properties of asphaltic concrete can be improved by adding 7% scrap natural rubber. For asphaltic concrete Marshall Stability increased with adding scrap natural rubber into asphalt. Moreover the stiffness modulus of asphaltic concrete can be improved 13.53 compared to AC 60/70.

The objectives of this special project were to develop printed media for public relations in the form of Augmented Reality books and to evaluate the appropriateness of printed media for public Make Collecting data from advertising and public relations officers The State Railway of Thailand 10 people and 15 grade 6 teachers statistics used in data analysis were frequency percentage mean and standard deviation. The results showed that 1) has created the media print Railroad Cut Point Augmented Reality 2) The media is appropriate and is distributed to the public at the highest level. (𝑥̅= 4.50 SD = 0.50).

This thesis proposes a method for detecting harmonics current in the adaptive active harmonic filter with Recursive Least Square (RLS) algorithm. The proposed method is based on the theory of noise cancellation adaptive filter. Originally the theory was used for audio signal processing but this thesis is applied to the harmonic current detector of an active harmonic filter. The principle and construction of the harmonic current detector in the adaptive active harmonic current filter with Least Mean Square (LMS) algorithm and Recursive Least Square (RLS) algorithm are presented to compare the efficiency of both algorithms. Then simulate these two algorithms with Matlab-Simulink program to simulate the three case studies. All three case studies that simulate are generally available in industrial plants. The simulation results show that the harmonic current detector in the adaptive active harmonic current filter with the LMS algorithm and the RLS algorithm can detect the harmonic currents in the power systems. However the RLS algorithm is more efficient and has less error value than the LMS algorithm. Therefore it is confirmed that the RLS algorithm proposed in this thesis is appropriate to use with the adaptive active harmonic current filter to really work in the industry.

The objectives of this research is to study (1) The demographic of mobile users effected to mobile network’s decision making (2) The creating shared value of mobile network effected to mobile network users’ decision making. The sample population consisted of one thousand two hundred mobile network users. The instrument of research was a questionnaire. The Statistical Package for the Social Sciences (SPSS) for Windows computer program was applied for analyzing formulating and tabulating the data collected. The techniques of descriptive statistics used were percentage mean and standard deviation. Techniques of inferential statistics utilized were t-test one-way analysis of variance (ANOVA) in order to analyze differences between variables taken as a group. If there is a statistically significant differences found between pairs in a group Scheffé’s pair testing were deployed. Multiple Regression Analysis were applied in order to analyze the demographic of mobile users and creating shared value of mobile network effected to mobile network users’ decision making. The results were as following: 1. The all factor demographic of mobile users effected to mobile network’s decision making effected to mobile network’s decision making. 2. The creating shared value of 3 brands effected to mobile network’s decision making effected to mobile network’s decision making.