This research developed a new model to determine the moisture diffusion coefficient for the thin-layer paddy drying with the spouted free-fall bed dryer. The design and construction of the dryer was done to experiment with the drying kinetics. The experiment has studied under conditions of hot air temperature of 60-150 °C the initial paddy mass of 5 - 15 kg and hot air velocity of 19 m/s. The results showed that the higher hot air temperature and the lower initial paddy mass resulted in a significant reduction in drying time. The experimental results were used to calibrate 12 of the most popular thin-layer drying models to find a suitable one considering based on the root mean square error (RMSE) chi-squared value (χ2) and the correlation coefficient (r). It was found that the popular thin layer drying model was able to accurately predict the effect of the moisture ratio considering both the influence of hot air temperature and the initial paddy mass in linear models. The highest accuracy was RMSE = 0.0279 χ2 = 0.00084 and r = 0.9938. In addition the experimental results have been used to synthesize the new diffusion moisture coefficient which is a function of initial paddy mass temperature and drying time. This developed model was based on an exponential function with only 7 model constants. The simulated results observed that the new model achieved the average error only 1.8 percent compared with the best model that uses up to 24 model constants.

The purpose of this research the study of the potential of Suphanburi area for planting investment. In which the researcher has studied the soil data set that is different in each area of Suphanburi. That is quite diverse if divided by each district in Suphanburi province themselves from the basic information report in Suphanburi and the agricultural information of Suphanburi for the year 2017 when comparing with the soil set of Suphanburi it can be seen that the cultivation is quite comprehensive all. The researcher created a model. Mathematical model to calculate production costs and forecasting of plants suitable for cultivation According to the potential of Suphanburi area. In the form of a website for ease of use as much as possible.

This research is a Mixed Method with the objective: 1) To study a causal relationship model of factors Influencing the loyalty of Lanna cultural tourism in the Eastern 2) To examine a causal relationship model of a causal factors influenced the loyalty of the Lanna cultural tourism in Eastern.3) To study both direct and Indirect influence and the total influence of causal factors that influence the loyalty of Lanna cultural tourism in Eastern. The part of quantitative research; Research was qualitative research and questionnaire were constructed to be a tool to measure concept definition. The data was collected tourist traveling to 4 province in the Lanna cultural group in Eastern region: Chiang Rai province Phrae province Nan province and Phayao province. The sample group was divided by the proportion of 4 equal numbers of each sample. The samples group was divided by proportion of 4 equal; each sample included 150 participants. The sample were conveniently collected and analyzed by frequency percentage mean standard deviation Pearson’s correlation coefficient and analysis confirmatory component analyzed at the statistical significance level .05. Qualitative research using intervenes to collected information from member of chamber of commerce member of province tourism in Thailand the provincial tourism member industry council Thailand who has4 experiences in tourism. The hypothesis test found that image tourism experiences tourism and affect the perceived of psychological component on tourist loyalty. By the potential tourism and experience was not affect tourism loyalty. The direct and indirect and total influence found that potential tourism has direct influence on tourism loyalty was equal at .054 and has indirect influence perceived psychology tourism were equal at .034 a cross with a total influence at .088 were can not significantly. Effect of image tourism has direct influence on loyalty were equal at .077 and indirect influences a cross perceived psychology were equal at .366 with a total influence at .443 were significantly at the .05. Experience tourism has direct influence on tourism Loyalty were equal at .059 and has indirect influence a cross perceived psychology were equal at .252 were total at .311 were can not significantly. Research results that obtained both public and private sectors related to tourism management as well as Lanna cultural in Eastern community can be used as a guiline for developed strengthening and as a policy of suggestion to raise cultural tourism loyalty in the Lanna Eastern groups including Chiang Rai Phayao Phra and Nan have potential that is due to the tourism loyalty of sustainable cultural tourist.

This research report describes the study of the development of finite element modeling for magnetoacoustic wave generation for non-destructive tomography. In the study the two-dimensional finite element model is used for the generation of magnetoacoustic wave in the mimic biological tissue model. The Gaussian pulse is applied as the excitation pulse in this research. The result of signal capturing at the boundary of mimic tissue model is used for the reconstruction cross-section image which is agreed to the original conductivity distribution.

At present the climate is changing due to changing environment. Industrial pollution Smoke from the traffic of cars on the road. Dust from the burning of forests etc. This change makes the climate change rapidly. Affect the temperature rise. In addition the temperature changes also affect the air pressure is changing as well. By the temperature relationship Atmospheric pressure and wind direction change dramatically in the climate such as wind storm precipitation and wind direction. This research is a forecast of air pressure and wind. To analyze the precipitation Wind and storm in the future. This is a summary of wind rain and storm in Southeast Asia including Thailand. The mathematical model used for forecasting is the Global Climate Model which is a powerful model. The initial condition of the forecasts was from the Intergovernmental Panel on Climate Change (IPCC) and the European Center for Medium Range Weather Forecasts (ECMWF) and after forecasting examined or measured the accuracy of the forecasts by Lyapunov exponent (LE) is the most commonly used forecasting method and is the basis of other methods of forecasting accuracy. In addition it is also used to measure the accuracy of the forecast is Finite time Lyapunov exponent (FTLE). Forecasting results show that the initial conditions used in forecasting result in atmospheric pressure and wind direction varying according to different starting conditions. So the temperature the air pressure and the winds cause the rain and the climate change.