In this paper proposed remote sensing using Normalized Difference Vegetation Index from NOAA STAR cluster value from k-means temperature rainfall number of rainy days and runoff to create runoff prediction model using Artificial Neural Network (ANN) and evaluated runoff models with the R2 and RMSE. The results show that the using of cluster value with other parameters to create predictive models can enhance forecasting results. When using Normalized Difference Vegetation Index with temperature value at lag time 1-2 month and cluster value at lag time 1 month to create model with ANN we have got the best performance which are RMSE=0.09 and R2=0.743. The experimental results shows that remote sensing data and cluster value from k-means can be used to predictive the runoff effectively.

The objectives of this study were to calculate the probability of type I error power of a test and to compare the performance of three test statistics: Z Student’s t and Welch’s t. Including the recommending the appropriate test statistic. Classification of the population according to five distribution. The ratios of mean group 1 per group 2 were three levels. The ratios of variance group 1 per group 2 were three levels. The sample sizes of two populations were nine sizes. The significance levels that to study were 0.01 and 0.05. The data were simulated by using SAS programming with 1000 replicates. Results of the research were Z test statistic could control the probability of type I error and had higher power of a test than other test statistics but this test is necessary to know the variances of the two groups. Therefore it was appropriate to apply the other test statistics i.e. Student’s t or Welch’s t. If the variances of the two groups were equal Student’s t was a more appropriate test statistic than Welch’s t. But if the variances of the two groups were not equal Welch’s t was a more appropriate. When both sample sizes were large and the population variances were equal we could use any tests since there is no difference in the performance.

This research aimed to study factors affecting the selection of accounting policies to measure the value of investment property of companies in the Stock Exchange of Thailand which related to earning management through discretionary accrual items. In this case the selection of these accounting policies were according to Thai Accounting Standard No. 40 : Investment Property. The sample size of this study was 239 listed firms in the Stock Exchange of Thailand who disclosed about investment property in their annual reports in 2015. Logistic regression analysis and ttest were employed to analyze data. The research revealed the debt to equity ratio was related to the selection of accounting policies to measure the value of investment property at 0.05 significant level. Furthermore the result from t-test found that cost model and fair value model for measuring investment property were not significantly different in earnings management at 0.05 significant level.

This research conducted an investigation on vocational pre-service teachers’ performance based on Technological Pedagogical Content Knowledge Framework (TPCK) to support learning in 21st century. TPCK Framework integrated three kinds of knowledge needed by a teacher in providing learning process for students effectively. The results of this study found that vocational pre-service teachers had the knowledge of using technology understanding teaching pedagogies and mastering on content individually. However they were limited in blending such essential three domains together to form more effective learning process for their students.

This research aims to study the development of the Para rubber press machine with wrought pattern for continued 2-year project. Used natural Para rubber mixed in ta-Kuong by normally practical Para rubber farmers to evaluate the rubber press machine. It has developed the 11 roller the 3 plain duo sets of normal press rollers and the 2 duo sets of wrought rubber press rollers with the induction motor at 1430 rpm. The rotating transmission based on belts and chains. The evaluated results produced the dried Para rubber sheets thickness at 3.75 mm. on average as standard market need. From a robber sheet with enough patted on with a worker to carry the ta-Kuong to a top tray and a rubber press man to put the Para rubber piece to a machine on average the completed 185 wrought rubber sheets per hour in shorter time.