The study of the Knowledge and Participation in Saving Electric Energy of Students and Staffs at Rajamangala University of Technologh Phra Nakhon aimed to find out and compare the level of knowledge and participation in electric energy saving. The population consisted of 865 subjects. The questionairs are desiged for rating five scales check. The reference statistics for data analysis included frequency percentage arithematic mean standard deviation t-test and one way anova respectively.

This research aims to survey about the opinion of the enterprises in Bangkok area that being effect on the image of the Rajamangala University of Technology Phra Nakhon by using Survey Research. The Questionnaire is used to collect data from a total of 400 samples that are the enterprises in Bangkok area by using Stratified Random Sampling. And statistics are used data analyses as Percentage Mean and Standard Diviation. The outcome is as : The result of this study shows that the opinion of the enterprises to the image of the Rajamangala University of Technology Phra Nakhon is positive that is mean at 3.19 the organization image is mean at 3.36 and the learning and teaching management is mean at 3.33. The opinion of the samples to the image of the Rajamangala University of Technology Phra nakhon are to be the reliable firm and famous university to have leadership. The graduated students can use and apply knowledge in their work. Next the university has many faculties and programs for studying which are consistent to the labor market needs. After that the university supports the students to do the good activities. Finally the news and information which shows on mass media is good.

The objectives of the study were to find the arrival rate of applicants who applied to study at Rajamangala university 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 application data 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 students/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 students/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 system 107.40 students/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 0.970.95 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 students/hour and not less than 30 students/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/students 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 objectives of the study were to find the survival probabilities the hazard rates of dropping out of the technical diploma level students at Rajamangala University of Technology Phra Nakhon North Bangkok Campus and the factors influencing on the hazard rates of students dropout. The sample was the students enrolling in the university in 2005. The study found that for the first semester the survival probabilities of students in all divisions were high ranging from 0.9210 to 1.00. For the second semester the survival probabilities of students in all divisions ranged from 0.7820 to 0.8815 except Industrial Technology which had a maximum value of 0.9295 and Metal Technology which had a minimum value of 0.6271. For the third and the fourth semester there were 6 divisions which had survival probabilities ranging from 0.7142 to 0.7971. They were Tool and Die Making Computer Technology Electrical Technology Electronics Automatic Machine and Production design. There were 4 divisions which had survival probabilities ranging from 0.8275 to 0.8732. They were Mechanical Tool Technology Business Computer Mechanical Power and Industrial Technology. The division of Metal Technology had the minimum value of 0.5932. For the first semester the hazard rates of dropping of students in all divisions were low ranging from 0.00 to 0.0822. For the second semester the hazard rates of dropping of students in all divisions ranged from 0.1260 to 0.2458 except Industrial Technology which had a minimum value of 0.0730 and Metal Technology which had a maximum value of 0.5221. For the third and the fourth semester the hazard rates of dropping of students in all divisions ranged from 0.1355 to 0.2962 except Metal Technology which had the maximum value of 0.5932 and Tool and Die Making which had the value of 0.3364. The factors influencing on hazard rates of students dropout were place of previous school region of previous school and grade point average of previous school. The hazard rate of dropping of students graduating from schools in the central region (not including Bangkok Metropolitan Area) was 43.8% (0.562 times) less than the hazard rate of dropping of students graduating from schools in Bangkok Metropolitan Area. The hazard rate of dropping of students having grade point average of 3.10-3.50 and 3.51-4.00 from previous school was 43.1% (0.569 times) and 63.7% (0.377 times) less than the hazard rate of dropping of students having grade point average of 2.00-2.50 respectively.