The cobalt catalysts (cobalt content by weight: 7% 10% and 15%) and cobalt-nickel bimetallic catalysts (cobalt-nickel content by weight: 3.5%-3.5% 5%-5% and 7%-7%) were studied in dry reforming of methane for hydrogen and syngas production. All catalysts were synthesized by the wetness impregnation method. The dry reforming of methane was carried out at 700oC atmosphere pressure using a mixture; CH4 and CO2 in ratio 1:1. The result showed that the good activity and stability depend on metal content in catalysts and the combined 2 metals as bimetallic catalysts. The optimum amounts of catalysts are 10wt% Co for mono-metallic catalysts 75%CH4 and 75%CO2 conversion and 7wt% Ni-7wt% Co for bimetallic catalysts 87%CH4 and 89%CO2 conversion.

The purposes of the research were; 1) to develop the detection of the transparency of air dried rubber sheet (ADS) using solar cell module 2) to find the average voltage according to the standard ADS grade market level and 3) to construct predictive equation of output voltage of the transparency machine. Samples of this study obtained by a purposive sampling technique was the standard ADS of 652 sheets. The instruments consisted of a multi-meter and transparency machine. For statistical analysis t-test (independent samples) and f-test (one-way ANOVA) were employed. The findings revealed that: 1) The ADS transparency machine consists of solar cell module at the error of 6% 2) The average voltage according to the standard ADS classify market level of 1 2 3 and 4 are 3.41 2.80 2.49 and 1.91 V. respectively 3) The market level and thickness of ADS altogether were the variables that could predict the output voltage of the transparency machine at 86.5 %

For one-part adhesive systems a long working-life adhesive which can be cured rapidly at processing temperature is required in industrial applications because it provides assembly process versatility. The aim of this research was to study the methods for extending the working-life of an epoxy-based adhesive with anhydride curing agent. This adhesive formulation is used as an underfill material in electronic industry. The scope of this study was divided into two parts: 1) modification of adhesive formulation process 2) determination of the component in adhesive which causes the adhesive viscosity increased at ambient temperature. The results showed that the adhesive working-life extended from 2 hours to 6 hours with reducing formulation process time removing the moisture in filler and reducing fluxing precursor loading in adhesive. In addition the fluxing precursor loading also affects the thermo-mechanical properties of adhesive. For characterization the working-life and thermo-mechanical properties of this formulation were investigated using rheological technique and dynamic mechanical analysis (DMA) respectively.

The objective of this research were investigated for preparing a film of rubber for use in the spa business. It was a formula for the excellence of the film the study included the topic of different concentrations of latex a moment in the film to different concentrations of chitosan the effect of molecular weight of chitosan on the film the influence of solution pH on the film. And the spin speed homogenizer mixed with a suitable film forming. The stability of the film were under conditions simulating the relative humidity in the air. The preparation of films were mixing rate with a homogenizer to 1000 rpm the pH of the solution of chitosan is pH 5 the molecular weight of chitosan was 10000 KDa the concentration of chitosan was 0.1 percent in a solution of acitic acid at 2 percent and 25 percent concentration of the latex films are suitable for further development in the industrial.

This research is the comparative study of three forecasting methods on SET 100 index. These methods are Simple Exponential Smoothing method Holts method and Box-Jenkins method. Two sets of data were used in this study. The first one used as a training set was collected from January 2 2008 to September 30 2011. The other one used as a testing set was collected from October 3 2011 to October 14 2011. We propose that the most appropriate forecasting method is the one which give the lowest MAE MSE MAPE and diagnostic checking. The results show that Holt’s method displays the lowest MAE MSE and MAPE. The next one is Box-Jenkins method while the Simple Exponential Smoothing method exhibits the highest value of all three indicators. However the model from Box-Jenkins method is the only one way that reveals no residual autocorrelation. This leads to the conclusion that the appropriate models for forecasting of SET 100 Index is ARIMA (213).