The purpose of this research is to improve the physical and mechanicalqualities of natural rubber latex tiles. Water: surfactant: surfactant: 1: 2.75: 0.03: 0.30:0.03: 0.04 by weight and added with natural latex. In the ratio of Portland Cement Type 1: Natural Latex is 1: 0 1: 0.025 1: 0.05 1: 0.075 and 1: 0.10. Formed with compression presses at normal temperatures it was found that the optimum amount of natural latex For concrete reinforced concrete tiles the ratio is 1: 0.025. The tests in accordance with Thai Industrial Standard TIS 535-2556 are tested in 4 aspects. Dimensional stress test Water absorption test And waterproofness testing The value has passed the benchmark. And low thermal conductivity. Increasing the insulation of the roof as well. Can be used as a prototype product tile concrete roof natural latex. To produce commercially And there can be many local latex or rubber latex. To be more useful and valuable.

Education and research is being Develop material that is mixed between rubber and rubber tree’s leaf for product designing. For product design This study is the use of a water timber with a rubber material. For use in product design Type of use and home decoration. In order to achieve the objectives of the research. The research was conducted by researchers at various stages. Data analysis and presentation. In the first part of the research questionnaire has been prepared for the development of product design. The study showed that the structure and the rubber leaves are fragile. It has adopted a water timber to merge. The experimental trial showed that the water timber formwork period is a major cause of water in the rubber sticking to the timber structure. When the latex has chemical and log Waldemar Carlo Night a period of use should not exceed three months at a water timber should be done with low viscosity. The color of the water timber must have a milky white. The collected data before designing it. The researcher has prepared all the tools of the 150 series found that most respondents as guest female age range 25-45 years as the rubber leaves of 94 percent 62.7 opine that the rubber leaves can be. made products of 5-10 species and the collection of data about materials latex with a rubber to make products from those carrying ask 150 people are of the opinion that it should make products partition 32.7 percent secondary. followed by the production of upholstered furniture 20.7 percent and 14.7 percent from the wallet to store data the researcher chose to put the material into a water timber with a rubber curtain room couch and wallet. When the prototype the researchers collected data on products made from latex and rubber leaves a series of 100 questionnaires showed that most of the respondents were female. Between the ages of 25-45 years the average undergraduate. There were government officers And have a monthly income of less than 5000 baht by the majority of respondents thought that. Rubber and rubber leaves the work piece is in good shape. Durable medium Can be used to make the products have 10-50 species with characteristics of both latex and rubber leaves. And all should be improved The research found that people are more interested in a piece of sheet material from a water timber with a timber. For product design Due to a combination of natural materials as a new material with a rubber-patterned rubber leaves a unique structure. It can also be improved by a more specific latex formulation. To be able to make the product even more.

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.

This research aims to develop the Para-rubber floor tiles mixed with ethylene vinyl acetate plastic wastes (EVA plastics) from the factories. The study use Para-rubber STR 20 at 100 phr with various contents of EVA plastics (e.g. 0 5 10 20 40 and 80 phr) and then mixed with chemical substance at constant ratio include zinc oxide at 5 phr stearic acid at 2 phr sulfur at 3 phr mercaptobenzothiazole at 0.5 phr and diphenyl guanidine at 0.2 phr. The samples are ground by two-roll mill and formed by compression molding at 150 degree Celsius with 30x30x0.2 cm of dimension. The properties of the Para-rubber floor tiles are tested under ASTM standard. From the results it is found that the Para-rubber floor tiles mixed with 10 phr of EVA plastics is the suitable ratio for using as the rubber floor tiles and rubber wall tiles in building. This ratio can increase the hardness and wear resistant properties and decrease the density and thermal insulation properties when compare to the Para-rubber floor tiles without EVA plastic.