Objectives of this study A Study of Current Image and Desired Image of Rajamangala University of Technology Phra Nakhon Graduates according to Opinion of Entrepreneur were to study and compare viewpoint of employers regarding current image and desired image of students who graduated from Rajamangala University of Technology Phra Nakhon. Survey research methodology was exploited by distributing questionnaires to sample group of 247 employers. Thereafter collected data was analyzed using SPSS for Windows v. 14.0 to fmd frequency percentage standard deviation mean and t-test at statistically significant level of 0.05 for hypothesis testing. The results of this study were as follows: 1.Rajamangala University of Technology Phra Nakhon graduates had current image at high level by good mental health cheerful and happy graduates had highest means value while graduates with knowledge and ability in foreign language had lowest mean value. The result also showed that desired image of graduates were high by good moral and ethic graduates had highest mean value whereas graduates with knowledge and ability in foreign language had lowest mean value. 2.By comparing current image to desired image in employers viewpoint of Rajamangala University of Technology Phra Nakhon Graduates the study found that all images were significantly different at the level of 0.05 except good mental health cheerful and happy graduates.

The objectives of the study were to find the arrival rate of applicants who applied to study at Rajamangala of Technology Pra Nakhon North Bangkok Campus the service rate of admission officers and to analyze queuing system in order to improve the admission system. The sample was 1722 technical students who applied to study in 10 divisions in 2007 and 2008. The plication date was collected every 10 minutes in each one-hour period from 09.00 am. to 16.00 pm. For 6 days. The study found that the distribution of the number of applicants was Poisson distribution. The highest arrival rate 1.29 student/min was at the second period and the lowest arrival rate 0.06 students/min was at the sixth period. The Distribution of service time at each station was exponential distribution. The highest service rate 0.67 min/student or 1.49 students/min was at the second station entering data into a computer. Queuing analysis in this study was series network. The analysis found that the highest expected number of applicants in the system 150 student/hour was at the first station in the second period and in the sixth period there was almost none. The highest expected number of applicants in the queuing system107.40 student/hour was at the first station in the second period The highest expected waiting time in the system.1.92 min/student and in the queuing system 1.37 min/student were at the first station. The probabilities of none of applicants in the system at the first the second and the third station in the sixth period were high 0.97 0.95 and 0.98 respectively. The proper value of the expected number of applicants in the system set in this study was not more than 60 student/hour and not less than 30 student/hour. The proper value of the waiting time in the system was not more than 1 min/student and not less than 0.5 min/student for stations for stations with more than one servers. The analysis found that at the first station one more server should be added in the second the third and the forth period and one less server should be reduced in the sixth period.

The main purpose of the study was to investigate the relation between demographic characteristics mass media exposure knowledge and sexual attitude of the students in Bangkok area. Question aires were used to collect data from a total of 400 samples. The result of the study was as followed: 1. The mass media exposure differs significantly among the sample groups of different sex university and income. 2. The sexual knowledge differs significantly among the sample groups of different sex and university. 3. The sexual attitude differs significantly among the sample groups of different sex university and income. 4. Mass media exposure does not correlate with the sexual knowledge. 5. The sexual knowledge correlates with the sexual attitude.

This research aimed to examine knowledgeexposureusage and gratification towards alternative energy information of inhabitants in Bangkok. The data from the samples were collected by questionnaires. The findings were as follows; 1. The alternative energy internet information exposure differs significantly among the sample groups of different sex. 2.The media expusure through televisionsraduisnewspapermagazine and internet differs significantly among the sample groups of different age. 3.The media exposure through radios and newspapers differs significantly among the sample groups of different income. 4.The media exposure through televisions and interne differs significantly among the sample groups of different educational background. 5.The media exposure through televisionsradios newspapermagazine and internet differs significantly among the sample groups of different career. 6. The knowledge on GasoholNGV and Biodiesel differs significantly among the sample groups of different age. 7.The knowledge on Gasohol and Biodiesel differs significantly among the sample groups of different income. 8.The knowledge on Biodiesel differs significantly among the sample groups of different educational background. 9.The knowledge on Biodiesel differs significantly among the sample groups of different career. 10. The internet usage and gratification differs significantly among the sample groups of different internet exposure.

This research aims to study factors relating to and influencing students’ behavior of electricity Saving. The samples are students of Rajamangala University of Technology in 2007 academic year. Based on quota sampling 100 students from each of 9 universities at a total of 900 are selected. The tools used in this research include questionnaires and with rating scales. The variables are divided into 5 group : 1) Psychological traits variables; 2) situational variables; 3) psychological situtional variables; 4) electricity saving behavior variables; and 5) the general qualifications of students including sexes educational levels location GPA family income the number of family members educational level of father and educational level of mother all of which are the sub-variables in analyzing data. The data was collected during January and May 2007. Then it was analyzed by a ready-to-use program with statistecs percentage t-test Person’s Product Moment Correlation Coefficient and Multiple Regression Analysis of Enter Stepwise and Hierarchical.