The objectives of this research are to propose a model for estimating and detecting rice yields in Thailand to investigate the factors related to the rice yields to find the trend and to construct the maps of rice yields in Thailand. A linear mixed model (LMM) including the spatial effects which follow the conditional autoregressive model (CAR) and the time effects which follow the first-order linear autoregressive (AR(1)) model is proposed. The estimated rice yields are used to construct the rice yield maps in Thailand. The dependent variables are the rice yield in each month of each province. The factors considered are rainfall average temperatures and regions. The results indicate that the factors enfluencing the rice yields are rainfall average temperatures and regions (North Northeast South East West Central region is a refrence region). The trend also effects the rice yields. The rice yeilds maps are easy for readers to identify which areas have high or low yields and easy to compare the yields among areas by looking at their different colors.

This project is intended as a teaching medium air conditioning system and simulation of air conditioning system problems. Some of them have been modified to suit their teaching needs. Arduino microcontrollers are used to control the system. By starting the study of the air conditioning system thoroughly. The microcontroller is written to control the operation of devices like the air conditioning system when the system malfunction. It will be used to analyze the problems of air conditioning. The experimental set will display the voltage and current. The connection points of the air conditioning problem analysis. When the symptoms are bad. The analyst can solve the problem by connecting or pressing the button of the device. The results of the project. The test will measure the difference of the air conditioning unit. And read the amount of current and volume in the system. To diagnose abnormalities and choose a solution to the problem from the kit system that can be displayed to solve the problem that the analyst was correct or not with the LED status light. Based on the performance test a demonstration kit for the demonstration of efficiency of the air conditioning system was provided to 10 experienced air conditioning technicians. 80s of issues. The reliability of the demonstration set and the efficiency of the simulator case study of the electrical system in air conditioning systems is acceptable

Quantitative research synthesis employed statistical methods to synthesize several research papers which were identical in terms of research problems Meta-Analysis in order to discover a standard index that was able to synthesize the aforementioned research papers and to measure the quantifiable effects of manipulated variable on the dependent variable. Regarding this article the author presented and explained Longford’s estimation of effect size which is one of the most efficient and recent estimations. The study proved the background and functional model of the estimator of effect size. In addition the calculation examples following the estimator of Longford’s effect size were demonstrated by meta-analysis.

The purpose of this research was to study and compare the reliability of Allen’s method (ΩW) and McDonald’s method (ωMD) using a NEO Five – Factor Inventory Scale and three different extractions with three different sample sizes. The sample was freshmen of Rajamangala University of Technology in Bangkok area. The results of the research were as the reliability of multidimensional scale from different extractions within the different sample sizes when using ΩW and ωMD were different with statistical significance at the level of .05. The estimation of reliability of multidimensional scale was most appropriate when using 3000 pseudo populations as the representative of large sample. The extraction of generalized least squares or principal factors with ΩW should be used with the sample sizes of 100 and 200 while the extraction of principal factors with ΩW should be used with the sample size of 500.

This paper presents the development of an initial rotor position estimation of permanent magnet synchronous motors (PMSM) without a position sensors drives with embedded digital signal controller. The principle of the estimation is based on induced voltage of electromagnetic flux by injecting high-frequency voltage at standstill. The controller is embedded digital signal controller (DSC) due to the small and cheap controller. Experimental results show that changing initial frequency capable of reliable.