The purpose of the special project education about the mobiles applied from Manora-petterned beads is to study the procession of making the hanging made from the Manorah beads pattern and study the satisfaction of the target groupson the mobiles applied from Manora-petterned beads.The students who studied about the special project has studied andgathers relevant information all information from 3 stylesto present to 5 expertsand let them choose the best one with their suggestions to improve the draft to create a set of the mobiles applied from Manora-petterned beads and bring this creation to survey the satisfaction to the target groups (50 persons) and use this information to analyze by using the freq the percentage the average and found that. 1. Most experts chose the draft of style B with the reason that it has clear fine and beautiful pattern and most of the expertschose colour tone with the reason that the colour tone green colour is in cool tone and it looked fresh and bright outstanding and beautiful. 2. The satisfaction of the targets in the product side found that the satisfaction of the beauty is in the most level. The average is 4 .7 6 . In the material side the satisfaction in the suitability of the material is in the most level. The average is 4.54. In the using benefit the satisfaction in using for Instruction media is in the most level. The average is 4.46. And the satisfaction in distribution by the web site is in the most level. The average is 4.60

This special project is the application of creating evening dress from Kimono using Thai silk. There are 5 factors which can lead to the goal of this project and it can be done by verifying the satisfactory of people to the product of this project. The number of surveys was randomly taken from 120 people at the age of 20-40 with the combination of students and lecturers from the Faculty of Humanities Programme in Japanese at Srinakarinwirot University. After that the result was taken to calculate the probability which is shown below: There are three types of Thai silks that were used for the survey such as Pha Lai Nam Lai Pha Jhok and Sinh Muk. The results from the survey show that the satisfaction of people to the product which were females are about 73.33%. However the group of female at the age of 21-23 was approximately at 53.33%. Furthermore there were about 97.5% and 96.67% to be singles and students respectively. As the result of this the mean satisfaction of this product was 4.21. Finally the result from calculating the mean of each factors in this product it was found that the beauty the fact that it can be worn overall pattern and the materials used in this product was 4.24 4.23 4.19 and 4.12 respectively

The objectives of this research are to propose a linear mixed model (LMM) for spatial time series with a seasonal component to apply the proposed model to monthly rubber yields in southern provinces of Thailand to forecast rubber yields in southern provinces of Thailand and to compare the performance of the proposed model to the Holt-Winters Additive Exponential smoothing model (Holt-Winters ES) and the seasonal autoregressive integrated moving average model (SARIMA). The proposed model is a linear mixed model (LMM) with spatial effects following a conditional autoregressive model (CAR model). Seasonal dummy variables and Fourier terms are two methods used to account for the seasonal effects. A Bayesian method is used for parameter estimation. The estimated monthly yields are used to forecast the monthly rubber yields. The dependent variables are the monthly rubber yields in each province. The effects considered are spatial effects heterogeneity effects and seasonal effects. The data are secondary data at a provincial level. The results show that the effects influencing on the amount of rubber yields are spatial heterogeneity and seasonal effects. The proposed model with sesonal dummy variables is the most appropriate model copared to the LMM with Fourier sesonal effects Holt-Withers ES and SARIMA. The mean absolute errors (MAE) are smallest in both model fitting and model validating parts. The proposed model with sesaonal dummy variables should be the first consideration for forecasting spatial time series with a seasonal component.

The objectives of this research are to propose a Bayesian model for spatial time series analysis to apply the proposed model to forecast a monthly rubber yield in Southern provinces of Thailand and to compare the performance of the proposed model with the classical Holt-Winters Additive Exponential smoothing. The proposed model is a linear mixed model (LMM) with spatial effects which follow a conditional autoregressive model (CAR). Dummy variables are used for seasonal effects. A Bayesian method is used for parameter estimation. The estimated monthly yields are used for the monthly rubber yield forecasting. The dependent variables are the rubber yield in each month of each province. The data are secondary data at a provincial level. The factors considered are spatial effects heterogeneity effects and seasonal effects. The results show that the factors influencing on the amount of rubber yields are spatial heterogeneity and seasonal effects. The proposed model is proper and forecast accurately. Using the mean absolute error (MAE) the proposed model has a better performance compared to the classical Holt-Winters Additive Exponential smoothing in both model fitting and model validating. The proposed model should be the first consideration for spatial time series forecasting.

The purposes of this research were to investigate the desired characteristics of the Applied Thai Program’s graduates of the faculty of Liberal Arts and to compare the graduate users’ personal factors. The subjects were business organizations and executive managers. The research tools were questionnaire and interview. The data were analyzed by percentage mean standard deviation and F-test. The findings were as follows: As for employers’ satisfaction towards the graduates’ qualifications the desirable characteristics of the graduates both overall and within each aspect are at the high level ( x= 3.84). Moral and ethical behavior rated the highest desirable characteristics (x= 4.01) followed by domain of psychomotor skills (x= 3.99) as well as interpersonal skills and responsibility (x= 3.84). As for the comparison of the graduate users’ personal factors it was found that: as for types of business organizations the overall mean value of types of business organizations was not different but the mean scores of moral and ethical behavior and domain of psychomotor skills were statistically significant at 0.01 level. As for positions of graduate users the overall mean value of positions of graduate users was statistically significant at 0.01level. Moreover the mean scores of knowledge and university identity were statistically significant at the level 0.01 while the mean scores of moral and ethical behavior mathematical analysis skills communication skills information technology application skills and domain of psychomotor skills were statistically significant at 0.05 level. As for working experiences the overall mean value of working experiences was not different but the mean scores of university identity was statistically significant at the level 0.05. As for working tenure the overall mean value of working tenure was statistically significant at 0.01level. Moreover the mean scores of moral and ethical behavior knowledge cognitive skills interpersonal skills and responsibility mathematical analysis skills communication skills information technology application skills and domain of psychomotor skills were statistically significant at 0.01level while the mean scores of university identity was statistically significant at the level 0.05. As for employers’ needs the first desired characteristics of the graduates were information technology application skills and basic computer knowledge. Thai and English oral communication skills were the second desired characteristics.