The forecasting method is important because it can predict phenomena in the future. The accuracy of the forecast depends on the model and the initial conditions. In addition the predictability measurement method is important can be check the accurate of forecasts. In this research is winter monsoon forecasts in Thailand by the shallow water model. The data from The Bjerknes Centre for Climate Research (BCCR) University of Bergen Norway. The global climate model is Bergen Climate Model (BCM) Version 2.0 (BCCR-BCM2.0) of the Intergovernmental Panel on Climate Change (IPCC) is used. The Lyapunov exponent (LE) is the predictability measurement method for verify the efficiency of model and establish the new predictability measurement method by the time series analysis. The result to show that the new predictability measurement method by the time series analysis can be measure the efficiency of the winter monsoon forecasts in Thailand by the shallow water model for December 2015 to December 2056 are suitable.

In general the measured resistance with a digital multimeter. Users tend to be measured and then displayed on the screen to the user regardless of the value that is accurate or not. The value displayed on screen digital multimeter may be incorrect. As a result from wires access point measurement and other factor that affect to the value of measurement. Thus the study of factors that affect the measurement to get the accurate and more precise and also can be used in the operations. According to international standard quality system requirements for ISO are clearly on the meter or the measuring device must be calibrated and in the certificate specifies the gain calibration and the uncertainty of measurement. Therefore it is necessary to evaluate the uncertainty of measurement to comply with the standard splash. This thesis presents a study of the effect to the measurement resistance in 0.01 ohm to 100 mega-ohm by direct measurement for 2wire & 4wire Loading effect Using different kinds of conductors Thermal EMF and the stability of the resistor. Include the statistical analysis was used to estimate the uncertainty. From this study can be applied to measure the resistance in a variety of accurately and precisely.

This study examined risk measurement of 3 ASEAN capital markets during year 2009 – 2013. The objective was to study and compare risk of 3 ASEAN capital markets before and after integration of 3 ASEAN member countries : Thailand Malaysia and Singapore. GARCH Model was used for estimating risk in order to measure the daily securities price index of 3 ASEAN member countries The study split the data into two time periods the first period before integration starting from December 1st 2009 to December 1st 2011 and the second period after integration starting from December 1st 2012 to December 1st 2013. The results show volatility which is transferred by the stock exchange and the other stock exchange. The internal and external factors caused the volatility. The level and direction of volatility was likely to depend on balance between listed companies structure and economic structure of those countries characteristic of the stock exchanges and the majority of the investors of those stock exchanges.

This research proposes an application of resistive and capacitive soil moisture sensors to investigate the influences of paddy temperature on the electrical signal received from sensors when tested with paddy moisture in the range 9.2 - 22.75%wb at 40 - 80ºC to determine the relationship between paddy moisture and electrical signals. It was found that the mean signal values between 20 - 40 seconds from both sensors were inversely linear correlation with the moisture content of the paddy. Temperature is the factors that influence the measured electrical signal. R2 Adjust R2 (95% confidence interval) and RMSEC showed that the model developed from the resistive sensor signals was accurate in calculating the moisture content of paddy between medium to high temperature in range 60 - 80ºC more than the low temperature range. While the capacitive sensor signals model is accurate in calculating paddy moisture between low to medium temperature in range 40 - 60 ºC. Therefore the resistive soil moisture sensor is possible and more suitable for applying as a paddy moisture sensor in the high temperature drying processes than a capacitor soil moisture sensor.

The objectives of this study were to investigate inventory management with logistics systems affecting balanced scorecard (BSC) and to study the balanced scorecard (BSC) affecting organizational sustainability. The population used in this study was under the supervision of the Thai Auto Parts Manufacturers Association. A questionnaire was used as a research instrument for collecting data from accounting executives accounting staff and other related line staff. Data were analyzed using descriptive statistics such as mean standard deviation and percentage and inferential statistics including Pearsons Correlation Coefficient and Multiple Regression Analysis. The major findings indicated that 1) Inventory management with a logistic system positively effected operating results. 2) The performance of the organization had a positive effect on the sustainability of the organization. The study showed that agencies or organizations that rely on inventory storage manage their warehouses better when the logistics system plays a role in managing various systems within the warehouse. Organizations do not have to store excess inventory resulting in liquidity. Reduced Inventory costs also result in lower total costs. The selling price can be set lower than the competitors. Businesses earn more profits which positively affects the balanced scorecard (BSC) in all four organization perspectives. When the balanced scorecard (BSC) continues to improve the organization will grow sustainably.