The research was aimed at studying 1) work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand 2) the influence of work motivation and self-development towards work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand and 3) guidelines for improving work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand. The questionnaires were constructed as a research tool with content validity and reliability for collecting information from 997 accountants working for the companies registered in the Stock Exchange of Thailand. The data was statistically analyzed by SPSS version 16.0 and AMOS version 6.0 with frequency distribution percentage arithmetic mean standard deviation and structural equation model analysis: SEM. The research findings indicated that the accountants in the sample group had maintenance and motivator factors in their work motivation at high level (  =3.56) and they also had professional emotional and physical development in their self-development at high level while their social development was at moderate level. Totally it said the self-development was at high level (  =3.60) and the work efficiency was 60.31%. The urgent guidelines for improving work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand were setting more appropriate working environment such as temperature brightness smell noise cleanliness safety furniture and office supplies. Furthermore the influence of maintenance and motivator factors in the work motivation and self-development had casual relationship with work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand at a statistical significance of the 0.05 and had ability to predict at good level and acceptably because the square multiple orrelation was 87.6% which its acceptance was 40% up presented by structural equation model analysis: SEM as follow: SeD = 0.070 MaF + 0.723* MoF; R2 = 0.528 WE = 0.340* MaF + 0.746* MoF+ 0.450* SeD; R2 = 0.876

This research proposes a hidden Markov model for detecting machines with multiple fillers producing soft drink for quality control in order to reduce defective products. The proposed model is compared with a classical generalized estimating equations model (GEE). The monthly data the number of defective products the correctness and the time spending in correction were collected from a machine in a sample factory in Pratumthanee province. The two hidden states of the fillers are workable and unworkable. The states has a logistic distribution. The results show that the correctness of the filler error occurrence does not improve the probability of being in a unworkable state neither the period of time spending on correction. The current state seems to be the same as the previous state

Research this project invents for design and build the water turbine produce the electricity by set up the equipment produces the electric current from water energy flows from the nature which be new choice for Thailand in using energy pays back. then born the idea in energy water lead flows in the tide comes to use is born the advantage The water turbine has produced the electricity that does designing and establish to compose 3 part importance be the part of water buoy water turbine part is the pin wheel that is made of the iron each have a draught 90 centimeter group part carries round which compose the gearwheel yes carry round and a transmitting belt carry round . From pin wheel test produces the electric current that establishes to induce float in a river already record seek feeling numb fire efficiency reaches to open 12 DC good and use inverter to 220 v. AC

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.

The aim of this research is to create the center of mass testing machine for vehicles with maximum mass 3000 kilograms. By the performance of this machine is able to determine the center of mass 3 axis by horizontal longitudinal and vertical. On the other hand the verities of mass from 50 to 250 kilograms and the several of weight distribution at horizontal and longitudinal are applied to the condition of testing for reasonable to the position of the center of gravity for vehicle. The result of research discovered to the performance of center of mass tester was activated following to test conditions. Furthermore the position of the horizontal of center of gravity depends on the weight distribution at horizontal axis and an increasing of mass under non-uniform along the longitudinal and horizontal axis. In term of the position of the longitudinal of center of gravity the weight distribution at longitudinal axis and an increasing of mass rate are points. Otherwise the weight distribution at longitudinal axis and an increasing of mass are effect to the position of the vertical of center of gravity.