The study of the development of gluten-free brownies with instant Stevia powder for partially replacing some amounts of sugar aims to (1) develop a brownie recipe by using gluten free flour (2) optimise the amount of the instant Stevia powder in order to replace some amounts of sugar partially within the brownies (3) compare the nutrition facts between conventional brownies and the gluten-free brownies with stevia for replacing some amounts of sugar and (4) investigate the consumer perception on the developed recipe. The result shows that the conventional brownies had a higher overall linking based an 9-Points hedonic scale than those of of the samples substituted with Red brown hom mali rice flour. The conventional brownies which consist of Red brown hom mali rice flour and corn flour with a ratio of 50:50 gain higher than the other recipes with a ratio of 60:40 and 70:30. In addition the result of utilising stevia to replace some amount of sugar shows that a sweet ratio of 25:75 is the most favourable recipe than a ratio of 50:50 and 75:25 (p<0.05) For nutrition facts there was no statistically significant difference between the conventional brownies and the brownie added with instant stevia powder. the brownies added with instant stevia powder contains energy moisture fat protein carbohydrate and ash of 480.89 15.90 30.09 5.70 46.82 and 1.49 respectively. The consumer acceptance test using questionnaire in 100 ordinary consumers the result found that the respondents satisfied the instant stevia powder in order to replace some amounts of sugar partially within the brownies in aspect of the flavor of 62.58 the most and following by in aspect of the benefits for health of 58.09 with acceptance towards product was 100%.

System of The Provincial Electricity Authority using the grounding wire connected between the cable end and Surge arrester format it is connect the cable from the end of the cable set to the end of the Surge arrester and grounded wire that splits the ground between the cable connecting point and the Surge arrester format it is a separate grounding connecting point to the cable end and Surge arrester on both sides of cable riser pole by Computer program. Resulting from computer analysis and the comparison of line setting found that if setting line lead to ground and join with ending cable line and Surge arrester lead in to line voltage drop less than setting line to ground with separate line and Surge arrester.

The objectives of this research were to propose a model with some functions including CAR spatial effects and to select a proper model for predicting rince and rubber yields in southern provices of Thailand. A linear mixed model (LMM) with spatial effects and dummy varables and Fourier seasonal effects was proposed. Bayesian estimation was used and the estimated rice and rubber yields were used for prediction. The dependent variables were rice and rubber yields in southern provinces of Thailand. Factors considered were rain temperature soil fertilizer soil organic matter trend and also sesonal effects. The results show that rain temperature soil fertilizer soil organic matter trend and sesonal effects influence on rice and rubber yields. The proposed model with Fourier seasonal term is the most appropriate comparing to the model with dummy variable for season effects and the Holt-Winters model. Therefore the proposed model with Fourier sesaonal term should be the first consideration for prediction.

The objectives of this research were to propose a spatial analysis using Bayesian generalized linear mixed model for predicting drought in Thailand. The spatial effect was assumed to be a conditional autoregressive model (CAR model). The dependent variables was a drought or non-drought occurrence which was assumed to have a Bernolli distribution with logistic link function. Factors considered were rain temperature number of rainy days number of large reservoirs and number of medium reservoirs. The results show that the rain temperature number of rainy days number of large reservoirs and number of medium reservoirs influence on the drought occurrence. This study is useful for planning making decision preventing and remedying the drought problem.

The objectives of this research were to create a model for time sereries data prices and yields of natural rubber to be more accurate prediction and to compare the proposed model with the classical time series models such as the Holt-Winters Additive Exponential smoothing model (Holt-Winters ES) and the seasonal autoregressive integrated moving average model (SARIMA). The proposed model was a linear mixed model (LMM) consisting with trend autoregression outliers and sesonal terms. Dummy varialbles and Fourier seasonal effects were studied. Bayesian estimation was used and the estimated prices and yields were used for prediction. The results show that the proposed model with a Fouries seasonal effect is the most appropriated comparing with the dummy seasonal effect the Holt-Winters ES and the SARIMA having the least mean absolute values (MAE) both fiting and validating parts. The proposed model with sesaonal dummy variables should be the first consideration for forecasting spatial time series with a seasonal component.