The objectives of this research is to study (1) The factor of decision making in Bangkok high school students affected to study in bachelor of Mass Communication (English Program) (2) The factor that is correlated in decision making in Bangkok high school students affected to study in bachelor of Mass Communication (English Program). The sample population consisted of four hundreds high school students in Bangkok. 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 Scheff?’s pair testing were deployed. Multiple Regression Analysis were applied in order to analyze the factors of decision making in Bangkok high school students affected to study in bachelor of Mass Communication (English Program). If there is a statistically significant found in Multiple Regression Coefficient of Correlation under paired testing will be used to identify the correlation between factors. The results were as following: 1. The factors of student program in high school affected the decision making to study in bachelor of Mass Communication (English Program) were high school program. 2. The marketing factor of Mass Communication Technology affected to Bangkok high school students decision making to study in Bachelor of Mass Communication (English Program) is product price place promotion.

The objective of this research is to use a stochastic process for building a model using Bayesian parameter estimation. The model is applied to the of crash prices and future prices of rice in Thailand for 120 moths including monthly closing average price of white rice 5% non-glutinous paddy 15% and Hom Mali non-glutinous paddy 105. The data are time series data containing autocorrelation trend seasonality and outliers. The algorithms are turned into codes in OpenBugs and the performance of the model is evaluated using simulation in R. The model with a Weibull cumulative distribution function trend the model with an exponential cumulative distribution function trend and the exponential smoothing model are compared. The root mean squared error (RMSE) mean absolute percentage error (MAPE) and mean absolute error (MAE) are used as the criteria. The results show that the model with the model with an exponential cumulative distribution function trend gives smallest RMSE MAPE and MAE for the crash prices of non-glutinous paddy 15% and Hom Mali non-glutinous paddy 105 for both model fitting part and model validation part. The model with a Weibull cumulative distribution function trend gives the smallest RMSE MAPE and MAE for the closing average price of white rice 5% for both model fitting part and model validation part.

This research was aimed to study the effect of bottom ash (BA) as fine aggregate in fly ash concrete and cement-only concrete on strength of water-cured and uncured concrete. The water to binder ratios were 0.35 and 0.55 to represent high strength and normal strength concrete respectively. The weight percentages of replacement of cement by fly ash were 0 and 30%. The replacement ratios of bottom ash as fine aggregate were 0 10 and 30% by volume of fine aggregate. The results indicated that the slump and setting time of concrete increased with the increase of bottom ash content. In contrast the compressive and tensile strength decreased with the increase of bottom ash content. From the curing sensitivity index it was showed that the fly ash concrete required longer curing period than cement-only concrete. In case of high strength concrete the use of bottom ash in fly ash concrete can reduce curing sensitivity of concrete

An automated production of traditional liquor by cooling method is presented in this paper. Thai traditional liquor is a product of One Tombon One Product (OTOP) and it was refined using traditional method. That is boil the fermented rice that obtained from fermented sticky rice with leavening and then condense the steam in coolant tank until receive the 35 degree distilled liquor. The entire production process is mainly base on worker’s experience which cause the uncertainty of production time and the alcohol percentage is not constant. In this paper we have developed the automatic distillation by using microcontroller to control the production process. The digital thermometer and limit switch are used to check temperature and water level (maximum-minimum) inside coolant tank respectively. And temperature in the coolant tank is controlled to vary slightly between 38-40 degrees. When the temperature inside the coolant tank is higher than a certain threshold the microprocessor instructs to solenoid valve and water pump to drain hot water and to pump cold water into tank respectively. So the temperature inside coolant tank is constant. An automated production of traditional liquor by cooling method was fabricated and experimented with community at Banlang Mueang Lampang. The results show that the proposed method has the volume of liquor rather than the original method. In 100 minutes the proposed method has distilled liquor 10 liters while the original method has 8.4 liters. And alcohol percentage is constant at 35 degrees.