The main problems of learning skills of a physics I for engineer’s course due to the lack of standard computer assisted instruction multimedia and its abstract nature therein were improved and repelled by using the invented teaching animation modules. Applying the established e-learning multimedia modules to the registered students from many faculties of the Rajamangala University of Technology Phra Nakorn via the learning management system it found that the improvement recipes have appropriate to increase both the learning skills and their highly attitude to this subject. The improved students by the invented media can effectively apply the contents to the higher levels study of concerning subjects.

The objective of this research was to study the feasibility for producing the dry Dioscorea hispida powder as a thickener. The product was investigated in their properties the compatibility with dye and chemicals in print paste color appearance by indicated with color hue value the time durability storage the residual substance after washing treatment and the color fastness in washing and rubbing methods. The results shown the dry Dioscorea hispida powder was used as thickener that it was the good characteristic like the famous textile printing thickener as alginate. The dry Dioscorea hispida powder thickener was 10%w/w had the equivalent viscosity as 8%w/w alginate. It had 3 days stability storage and good compatibility for direct dye reactive dye acid dye and disperse dye print pastes. The color appearances were corresponding with owned hue in color index databases. The thickener was completely in washing process. And the washing and rubbing fastness were good to excellent.

The purposes of this research are to study and improve the productivity process of washing tables by setting standard time a case study of stainless manufactories. Nowadays the manufacturers don’t know the production capacity. That leads to the problems of manufacturers’ work control and late product delivery to the customers. The study is proposed to improve work procedures by designing operation process chart (OPC) the setting of operation stations Operation process chart time (OPC TIME) and finding the standard time in product manufacture. As for the operation process and the standard time setting the research revealed that the standard time of welding station in assembly process for the frame table sink tap nozzle high neck sink flick and welding station of all assembly parts were the first the second the third and the fourth respectively. The researchers’ suggestions were to add 2 welding machines and 2 workers in assembly process so as to work more efficiently so that it can decrease the total processing time from 855.24 minutes/set to 645.91 minutes/set or 24.47 % reduction.

This study evaluates the fatigue life of a closed-loop oscillating heat-pipe with check valves (CLOHP/CV). The method was predicting the fatigue life of the copper tube to apply for the CLOHP/CV. The fatigue test was carried out by using the specimens made of copper tube (C1220) at the temperature of 293 (room temperature) 473 and 573 K. The three types of hourglass shaped specimen included uniform type one-wave type and two-wave type specimens. It was found that the effect was a direct extension of material structures of specimen and hourglass shaped. It can be said that the number of cycles to failure (Nf) of the two-wave type specimen hourglass shaped specimen was rather sensitive to fatigue motion during testing and the temperature of 573 K has the greatest failure impact.

The objective of this research is to construct the appropriate forecasting model for the export quantity of concentrated latex by the three time series analysis methods which are Box-Jenkins method Winters’ multiplicative exponential smoothing method and combined forecasting method. Time series data from the website of Office of Agricultural Economics during January 1998 to February 2014 (194 values) are used and divided into two series. The first 182 values from January 1998 until February 2013 for the models prediction and the last 12 values from March 2013 until February 2014 for comparison the performance of forecasting models via the criterion of the lowest root mean squared error and the criterion of the highest correlation coefficient between existing values and forecasted values. Research findings indicated that for all forecasting methods that have been studied the most powerful method is the combined forecasting and the forecasting model is where and represent the single forecasts at time t from Box-Jenkins method and Winters’ multiplicative exponential smoothing method respectively.