Nowadays the measurement technologies are continually growth in advanced. These can be seen in the developed and developing countries that research and develop the products which support the consumer behavior and/or country economy ic growth. However some advanced products are very expensive such as pH meter. Therefore this thesis develops the pH meter which allows the acid-base test of the water and it can be supported the agriculture. The proposed pH meter is included the pH pen sensor temperature sensor water level sensor. The proposed meter can measure the acid-base of the water by sending SMS alert signal via GSM module to the mobile phone of the farmer. As can be seen this thesis can prevent and solve the effect of the high acid-base of the water that possibly flows into the agriculture farm via using SMS alert signal of the mobile phone of the farmer.

The objective of this research is to select a proper cumulative function for trend in an analysis of simultaneous multiple time series data with autocorrelation trend and outliers using a Bayesian method. The proposed model is applied to fluctuate stock price data in the stock exchange of Thailand. The data consist of the closing prices of 5 stocks. The algorithms are written in OpenBUGS and the performance of the model is evaluated via a simulation study in R. The cumulative distribution functions considered here are a Weibull cumulative distribution function and an exponential cumulative distribution. They are compared using RMSE MAPE and MAE as criteria. The research found that an exponential cumulative function for trends gives smaller values of the three criteria in both model fitting and model validation for the4 stocks EA NWR and KTB. However a Weibull cumulative distribution function gives smaller values of three criteria for the PTT in both model fitting and model validation.