This research was aimed to study the participation behaviors in the electrical energy saving the factors affected to the participation behaviors and the promotion of the participation behaviors in electrical energy saving of the undergraduate students of the Faculty of Science and Technology Rajamangala University of Technology Phra NaKhon. The participants of 150 students from the Faculty of Science and Technology was also performed based on systematic sampling. The questionnaire was used. The statistical evaluation was also analyzed based on the percentage mean and standard deviation. A 85% of participants is male a range of age to be 19-20 years old (62.7%) second academic years by about 37.3% and a 65.3% of participants has been studying in the major of computer science. Knowledge levels in the electrical energy saving of the most participants are high (13.33%) moderate (62%) and low level (24.67%). The four participation behaviors in the electrical energy saving were analyzed including electrical lighting system air conditioner and ventilator system office electrical system and electrical equipment maintenances resulting in very high level with the average mean of 4.25 and standard deviation of .547. First the participation behavior in the electrical equipment maintenance was very high level with 4.31 and S.D.=.870. Second the participation behavior in the office electrical system was to be 4.27 with S.D.=.828. Third the participation behavior in the air conditioner and ventilator system was to be 4.21 with S.D.=.549. Finally the participation behavior in the electrical lighting system was very slow level with 4.21 and S.D.=.672. By comparing the participation behaviors in the electrical energy saving with the different of academic major of students the participation behaviors in the electrical energy saving did not significant different.

The research of strategic accounting information systems of technology and targeted industry groups to Thailand 4.0 was aimed at studying 1) strategic accounting information systems of technology and targeted industry groups to Thailand 4.0 and 2) factors related to strategic accounting information systems of technology and targeted industry groups to Thailand 4.0. The questionnaires were constructed as a research tool for collecting data from 400 entrepreneurs in technology and targeted industry groups. The data was statistically analyzed by frequency distribution percentage mean standard deviation and multiple classification analysis: MCA. The research findings indicated that most entrepreneurs in the technology and targeted industry groups were in food agriculture and biotechnology. Their capital to run business at the present time was between baht 1000001-1500000. The average number of employees was 4.75. They had income of baht 5000001-7500000 per year. Most of them employed companies or organizations to develop their own accounting information systems and their practicable period was 7.61 years. The capacity accounting information systems was totally at high level ( =3.64). Also the usability of accounting information systems was totally at high level ( =3.67) whose data collection was at =4.00 data processing at =3.66 data controlling at =3.53 and information generation at =3.51 respectively. The hypothesis testing results at statistical significance of 0.05 showed that the capacity of accounting information systems was the vital factor relating to data collection data processing data controlling and information generation and the annual income of entrepreneurs in strategic accounting information systems to Thailand 4.0 was related to data collection data processing and strategic accounting information systems to Thailand 4.0.

In FinFET-based VLSI designs heat issues from increase of driving current with temperature and self-heating effect profoundly influence the circuit performance and reliability. This work evaluates the performance of FinFET-based combinational circuits considering BTI stress and thermal effect of supply voltage and frequency variations. The proposed simulation framework is applied to selected benchmark circuits implemented with the 14-nm tri-gate bulk FinFET technology. The experimental results reveal that as temperature increases BTI aging delay increasingly worsens yet it is overridden by performance gain from the increase in driving current. We also prove that BTI degradation is dependent on power supply and frequency through their thermal impacts. Further we introduce a DVFS based power reduction approach that scales down the supply voltage of hot circuits to maintain the performance. The results show that power reduction yielded from the proposed technique is larger for all circuits working at higher ambient temperature (as large as 66% in some experimental circuits working at 20 oC above the baseline ambient temperature) with a slight decrease in BTI degradation.

The research is study motives the affect participation in quality assurance personal of Faculty of Engineering Rajamangala University of Technology Phra Nakhon from example group of 182 people which classified by sex ages position educational degree field of work and working life. This research is used themethod is collecting data by question tool themethod is questionare tool fo collected data that could be two categorized include knowledge skills and attitudes. The questionnaire is five rating scales that analyze the result by frequency percent average the average of standard deviation and T-test independent by using one way ANOVA. The results were as follows : From one hundred percent of the personnel of Faculty of Engineering Rajamangala University of Technology Phra Nakhon whom 63.70 persent classified by the educational field and 36.30% support line are ready to enter into Asean community which could be seen average in whole picture. After considering in three aspects the result appeared that knowledge and skills of personnel are also average. However the attitude of personnel was considered in a high level. Hypothetic test result was found that there was no difference among the personnel with difference sex ages educational degree field of work and working life in their readiness in entering Asean Community. position

The purposes of this study were to investigate the component and competency model for learning in digital technology of the elderly in Bangkok. The sample of this study consisted of 385 elderly people in Bangkok. The instruments used in research were questionnaire and interview. The statistics used for data analysis were percentage arithmetic mean standard deviation and Exploratory Factor Analysis (EFA). The findings of the data analysis indicate that there were 6 components with 36 variables of competency for learning in digital technology of the elderly in Bangkok which can describe the combined variance at 64.305 percent. All components were as follow: 1 component of the knowledge competency to identify the learning course 3 components of the skill competency to identify the learning objective learning management and promote learning. Finally 2 other components of the personal competency to identify the background of learner and physical and mental fitness.