The purposes of the research were to construct and to evaluate the efficiency of computer- assisted instruction program for reading vernier caliper and micrometer based on criteria and analyze the learning achievement of the student after using computer - assisted instruction. The samples were the first year undergraduate 17 subjects students at Rajamangala University of Technology Phra Nakhon in 2006 participated in this study. The experiment was conducted by using pretest post test design. The efficiency of the computer - assisted instruction was calculated and was the learning achievement of students after studying analyzed. The result revealed that the efficiency of the computer - assisted instruction was efficient in criteria and learning achievement significantly increased at .05 level.

This research was aimed to analyze work performance classified by personal information to investigate internal factors of support personnel work performance and influence of internal factors affecting work performance of the support personnel at Rajamangala University of Technology Phra Nakhon. The population used in this study was 693 staff working at Rajamangala University of Technology Phra Nakhon Bangkok. The sample size was determined by Craig and Morgan method to draw out 250 samples. The research instrument was a questionnaire constructed by the researcher to collect data manually. The data obtained from the questionnaire were analyzed using percentage mean standard deviation and T-test F-test ANOVA Pearson coefficient and multiple regression analysis. The research revealed the results as follows. Work performance of the support personnel of Rajamangala University of Technology Phra Nakhon in the overall was at high level with the mean Organization factors of the support personnel of Rajamangala University of Technology Phra Nakhon in the overall was at high level with the The results of the study on personal factors agreed with the overall performance of Rajamangala University of Technology Phra Nakhon personnel. It was found that the status salary and educationhours and working centers were significantly different .

Fin Field Effect Transistor (FinFET) technology has increasingly been adopted for use within integrated circuits thanks to its superior electrical integrity and scalability. However a steady increase in vulnerability of FinFET circuits to negative bias temperature instability (NBTI) has recently become one of the major lifetime reliability problems. In this paper we propose a simulation framework to address NBTI in combinational circuits implemented with 14-nm tri-gate FinFET predictive technology. Particle swarm optimization (PSO) algorithm is applied to construct an accurate long-term NBTI degradation model from cycle-by-cycle data history. The proposed simulation methodology provides accurate results with high efficacy in computation time compared to reference models. From the proposed framework the average delay degradation for all experimental circuits under normal operation after 10-year NBTI stress is approximately 6% yet temperature variation in the circuit strongly influences NBTI degradation.

The objectives of this study is to 1) study the behaviors of consumption of baked goods in Bangkhen district Bangkok and 2) study factors of decision making of consumers on services. We have sample of 400 subjects and used statistical methods consist of frequency proportion mean standard deviation t-test and F-test. From the results we found that most of the consumers are female of age between 20 – 30. Most of our samples are students and have income less than 10000 baht per month. For the results on behaviors we found that most purchases are for self-consumption. Cakes are the most popular baked goods. There’re 1 – 3 quantity of goods per purchase and cost around 70 -150 baht. The frequency that samples go to bakery is 1 – 4 times a week from Monday to Friday and around 15.01 – 19.00. Samples mostly got information of bakery from personal communication. The results show that price is the most important factors influence on consideration of consumers given ( = 4.46) of mean. While other important factors are products ( = 4.37) convenience ( = 4.10) brand loyalism ( = 4.05) commercial ( = 3.99) brand’s quality ( = 3.96) and brand ( = 3.85). There’s no difference on the influence of gender on consumption but there’s a significant difference between price and brand’s quality and between ages and between convenience and commercial.

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.