This research aims to develop the coconut coir and fiber indoor acoustic and thermal insulation boards mixed with natural latex. The 5 ratios of coconut coir: coconut fiber: natural rubber were equal to 0.1: 0.9: 0.1 0.1: 0.9: 0.15 0.1: 0.9: 0.2 0.1: 0.9: 0.25 and 0.1: 0.9: 0.3 by weight. The indoor acoustic and thermal insulation boards were produced by knitting the coconut coir and fiber spraying the natural latex and heat compressing. The properties testing of indoor acoustic and thermal insulation boards included the density test water absorption test tensile strength test thermal conductivity test sound protection efficiency test and real usage test. From the results 0.1: 0.9: 0.15 ratio is the most suitable ratio of coconut coir and fiber indoor acoustic and thermal insulation board mixed with natural latex. The natural latex which putted in these indoor acoustic and thermal insulation boards can reduce the water absorption and increase tensile strength and sound protection efficiency.

The objectives of this research were to propose a model with some functions including CAR spatial effects and to select a proper model for predicting rince and rubber yields in southern provices of Thailand. A linear mixed model (LMM) with spatial effects and dummy varables and Fourier seasonal effects was proposed. Bayesian estimation was used and the estimated rice and rubber yields were used for prediction. The dependent variables were rice and rubber yields in southern provinces of Thailand. Factors considered were rain temperature soil fertilizer soil organic matter trend and also sesonal effects. The results show that rain temperature soil fertilizer soil organic matter trend and sesonal effects influence on rice and rubber yields. The proposed model with Fourier seasonal term is the most appropriate comparing to the model with dummy variable for season effects and the Holt-Winters model. Therefore the proposed model with Fourier sesaonal term should be the first consideration for prediction.

The objectives of this research were to create a model for time sereries data prices and yields of natural rubber to be more accurate prediction and to compare the proposed model with the classical time series models such as the Holt-Winters Additive Exponential smoothing model (Holt-Winters ES) and the seasonal autoregressive integrated moving average model (SARIMA). The proposed model was a linear mixed model (LMM) consisting with trend autoregression outliers and sesonal terms. Dummy varialbles and Fourier seasonal effects were studied. Bayesian estimation was used and the estimated prices and yields were used for prediction. The results show that the proposed model with a Fouries seasonal effect is the most appropriated comparing with the dummy seasonal effect the Holt-Winters ES and the SARIMA having the least mean absolute values (MAE) both fiting and validating parts. The proposed model with sesaonal dummy variables should be the first consideration for forecasting spatial time series with a seasonal component.

The objective of this research is to develop the concrete flooring tile product from old asphalt road waste. The 6 ratios of Portland cement type1: coarse sand: old asphalt road waste: water reducer type A: tap water were designed including: 1: 5: 0: 0.02: 0.4 1: 4.5: 0.5: 0.02: 0.4 1: 4: 1: 0.02: 0.4 1: 3.5: 1.5: 0.02: 0.4 1: 3: 2: 0.02: 0.4 and 1: 2.5: 2.5: 0.02: 0.4 by weight. The concrete flooring tile casted with the compressive machine. The property tests followed the TIS.378 - 1988 (concrete flooring tiles). According to the result it was found that the 1: 2.5: 2.5: 0.02: 0.4 was the proper ratio of the concrete flooring tile. The increasing of old asphalt road waste in concrete flooring tile effected to decrease the water absorption and thermal conductivity properties. In term of the density and bending strength properties there were not many differences. The developed concrete flooring tile product from old asphalt road waste can use as same as the common concrete flooring tile product in market.

This research aims to develop the natural rubber and ethylene vinyl acetate (EVA) plastic floor tile with flame resistance property. The 6 ratios of natural-rubber STR 20: zinc oxide: stearic acid: sulfur: mercaptobenzothiazole: diphenyl guanidine: EVA plastic: antimony trioxide were equal to 100: 5: 2: 3: 0.5: 0.2: 20: 0 100: 5: 2: 3: 0.5: 0.2: 20: 20 100: 5: 2: 3: 0.5: 0.2: 20: 40 100: 5: 2: 3: 0.5: 0.2: 20: 60 100: 5: 2: 3: 0.5: 0.2: 20: 80 and 100: 5: 2: 3: 0.5: 0.2: 20: 100 by weight or phr. The samples are ground by two-roll mill and formed by compression molding at 150 degree Celsius with 30x30x0.2 cm of dimension for 4: 29 to 5: 19 minutes. The properties of the natural-rubber floor tiles were tested under ASTM standard. From the results it was found that the natural rubber and ethylene vinyl acetate plastic floor tile with flame resistance property was the suitable ratio for using as the rubber floor tiles in building and extinguished a fire by themselves. The antimony trioxide effected to increase the density hardness and thermal conductivity and decrease the tensile strength tear strength and wear resistance properties of the natural rubber and EVA plastic floor tiles