The Kaolinite development process to improve the characteristics. The Kaolinite mixed ratios are 10% 20% 30% and 40% and the result indicated that the experiment mortar-mix ratio at 0:8:2.75:0.2:0.05:0.04:0.5 of cement powder sand Kaolinite limestone superplasticised and clean water compared to No MK control sample covered ASTM standard in tensile strength more than 100 ksc compressive strength of MK20% with superplasticised at 434 ksc. The water absorption values under the standard passed

The objectives of this research are to develop the structure to create the knowledge of construction technology to test the properties to construction the prototype building and to transfer the technology of hemisphere pre-engineered building with easy assembly steel structure type. The load and resistance factor design (LRFD) method was used to design the structure by regarding the strength material type construction and deconstruction step and cost. From the design the prototype of hemisphere pre-engineered building (only the frame structure) was construction with 5 meters of diameter 3.5 meters of height 19.635 square meters of useful space 200000 Baht of material cost (10186 Baht per square meter for all materials) 27 hours or 3 days of construction period. According to the modular coordination system this hemisphere pre-engineered building cans construction and deconstruction fast especially when apply to help disaster victims. After tested the structure that the calculation value of safety factor (S.F.) is 1.76. The envelope of this building used the ratio of Portland cement type 1: fine sand: coconut fiber: waterproofed liquid: tap water which equal to 1:3: 0.1: 0.02: 0.5 by weight and reinforced by round bar and wire mesh steel. According to the testing the building-envelope properties are following: density 1582 kg/m3 thermal conductivity coefficient 0 .3 7 1 watt/m.Kelvin water absorption 1 7 .3 1 % compressive strength 118.47 ksc and bending strength 28.88 ksc. Moreover these results can register the copyright and draft the research paper to transfer the technology for target group.

The objectives of this research were (1) to study media exposure behavior of technology technology learning behavior technology using behavior in daily life and self-development of elderlies in Bangkok (2) to compare between demography and self-development of elderlies in social network and (3) to study effects of factors to self-development in social network of the elderlies in Bangkok. The data were collected from 400 elders who were elderly 60 years and over residing in Bangkok Metropolitans. Data analysis employed frequency percentage arithmetic mean (X) standard deviation (S.D.). Statistics used for hypothesis testing included chi-square t-test One-way Analysis of Variance and multiple regressions. The results of study showed that:

The objectives of this research are to propose an approate and efficient model for analyzing rice corn and sugar yields data. A linear mixed model (LMM) with spatial correlation following the conditional autoregressive model (CAR) was adopted. The results show that for rice yields if the amount of rainfall in a harvest season increases 1 mm the yields will decease by 25.74 tons. if the temperature in the harvest season increases 1 Celsius the yields will decease by 212.60 tons and according to the trend the yield will increase by 15.80 tons each year. For sugar cane yields if the amount of rainfall in the harvest season increases 1 mm the yields will decease by 51.35 tons. if the temperature in the harvest season increase 1 Celsius the yields will incease by 121.30 tons and according to the trend the yield will increase by 29.93.80 tons each year. For corn yield if the amount of rainfall in the havest season increases 1 mm the yields will incease by 73.45 tons. if the temperature in he havest season increases 1 celsius the yields will decease by 40.44 tons and according to the trend the yield will increase by 1.74 tons each year.

This research aims to apply the principle of stochastic process for modeling. The parameters are estimated using Bayesian methods. The monthly average real price of paddy rice 15% and yield of paddy rice in Thailand were studied. The price and the yield of paddy rice which are time series data consisting of four components autocorrelation an exponential cumulative distribution function for trend outliers and two different types of seasons: the dummy seasons and Fourier function seasons. Writing algorithms programming in OpenBUGS and evaluating the performance of models from simulation programming in R were conducted. After that Bayesian methods with dummy seasons and Fourier function season were compared using RMSE MSE and MAE as the criteria. The results show that the Bayesian model with an exponential cumulative distribution function for trend and dummy seasons give the lowest RMSE MSE and MAE for both model fitting and model validating.