The purpose of this study was to investigate the influence work performance and organizational commitment affecting the resignation of a public bank support in Bangkok. This is survey research was quantitative which its samples consisted of 310 support staff of a public bank in Bangkok responding to the questionnaire as a research tool. Frequency percentage means standard deviation and Multiple Regression Analysis was applied to achieve 0.05 significance level. The research revealed that the majority of the population was male aged 31-40 years old working as employees and had the average monthly income less than or equal to 15000 baht. They had been working with the bank less than 3 years. Largely the analysis of their work performance and organizational commitment as well as the resignation of the employees was at a high level. The hypothesis test showed that the performance factor did not influence the resignation trend of the support staff of a public bank in Bangkok. In addition their organizational commitment influenced the resignation tendency of a public bank in Bangkok.

Currently competition in terms of resolution and contrast of photos from digital cameras are widely mentioned. The higher resolution the photos contain; the more details the picture has. This fact enables the more details of pictures which also hold much more capacity of data. This also causes the electronic devices to be updated all the time to cope with those problems. Therefore the conventional devices are obsolete. This research has been developed and applied to improve digital photos with high contrast. The researcher has solved the problems by keeping the average error of the lowest results and improving heat histogram of various curves. The heat will break the histogram of the original image into n part by the concave side of the heat histogram. The part of this histogram is equal to n+1 and then smooth each other heap histogram independently. The result showed that the Tennengrade or contrast of the image is higher than the original one. However it can retain brightness errors (AMBE) as well

Rail transport is a type of transportation that strongly influences economic due to its ability to transport a large number of passengers and products per trip relying on diesel-electric engines. The objectives of this thesis were set to investigate and develop the electrical performance tracking system of long-distance diesel electric locomotives and compare the electrical performance measured by the diesel electric locomotive performance tracking system and measured from the measuring instrument at Diesel Engine Maintenance Station in Bang Sue. The electric diesel locomotive no. 4513 (Cummins KTA50-L) was selected as the study subject of the experimentation. The results showed that the power loss of the diesel electric locomotive from the conversion of alternating current to direct current was inversely proportional to the engine speed. The power losses between the low and high engine speeds were equal to 77.11 and 2.49 percent respectively. The above data reflects the limitation of diesel electric engine performance and should lead to the construction of a database for making decision on the right engine selection suitable for the towing load of the locomotive.

The study was conducted to explore organizational factors influencing perceptions of Of Rajamangala University of Technology Phra Nakhon mission.This research is quantitative research which its 287samples used were Rajamangala University of Technology Phra Nakhon personnel selected through proportional stratified random sampling. The data collected were analyzed by frequency percentage mean standard deviation Pearson Product Moment Correlation Coefficient and multiple regression equations. The research results revealed that the organizational factors affecting perceived mission of Rajamangala University of Technology Phra Nakhon personnel included factors such as 1) strategic aspect 2) system aspect 3) Staff aspect 4) Style aspect and 5) skill aspect which influenced the perception of the mission of Rajamangala University of Technology Phra Nakhon staffs at 0.05 level of statistical significance. This could be explained jointly by the mission statement in the overall at 66.2 percent. However the organizational aspect and value aspect had no influence on the perceived mission of Rajamangala University of Technology Phra Nakhon staffs.

The objectives of this research are to propose a linear mixed model (LMM) with spatial correlation for an analysis of rice yields in Thailand to estimate the rice yield in each month of all provinces in Thailand to investigate factors influencing on the rice yields and to construct the maps of rice yields. A linear mixed model (LMM) in which the spatial effects follow the conditional autoregressive model (CAR) is used. The estimated rice yields are used to construct the rice yield maps. The dependent variables are the rice yield in each month of each province. The data are secondary data at a provincial level. The factors considered are rainfall averaged temperatures and regions. The results show that the factors influencing on the rice yields are rainfall averaged temperature and region. The amount of regional effects ordering from largest to smallest values are northestern region southern region western region central region eastern region and northern region respectively. The top ten provinces and months with high yields ranking from largest to smallest values are Ubon Ratchathani in November (1328000 ton) Surin in Novermber (1070000 ton) Si Sa Ket in Novermber (1023000 ton) Buri Ram in November (939400 ton) Nakhon Ratchasima in November (907500 ton) Roi Et in Novermber (852800 ton) Chiang Rai in Novermber (769800 ton) Khon Kaen in Novermber (692800 ton) Maha Sarakham in Novermber (676200 ton) Udon Thani in Novermber (620600 ton) respectively. The rice yeilds maps are easy for readers to identify which areas have high or low yields. They are a useful tool for planning decision making and implementing plans to help rice famers to increase their rice production.