This research is intended; 1. To analyze the higher executives point of view affecting return on investment for neuro training. 2. To determine and examine the future possibility model on return on investment for neuro training. This study was qualitative research methodology using Delphi technique. The sample population of the study covers the training management experts entrepreneurs and relevant to neuro training including accounting on return on investment bureau groups 21 persons in total with the selection through purposing sampling. The research result found that there are five factors: 1) training environmental management 2) organization policy and regulation 3) job responsibility learning building for employee engagement and 5) measuring for return on investment for employee security leaning. In training environmental management factor 1. To preparing trainers characteristics. 2. To develop training for the trainer content. 3. To preparing training equipment and information technology. 4. To provide web server character using for internet training. 5. To provide training place environment and internet training. 6. To provide service place for computer equipment and wireless internet high speed to support internet network system. 7. To management on environmental current and training support matter that suitable and sufficiency for learning. In organizational policy and equation factor 1. To educate employee with goal policy for each year of organizational procedure. 2. To develop and improve criteria regulation to relevance organizational planning and realistic situation in each job function line. 3. To compare job performance by classic production line and staff including internet network system as well as selling and make profit center. 4. To convey how to fix employee understanding in rule and regulation that relevance job working. 5. To cover the regulation practice and training optimation for business working. 6. To be flexibled for training on network system because it take time more than general training. 7. To have training step and methodology that relevance organizational and business policy. 8. To have budget allocation that suitable and sufficiency for employee performance. 9. To supporting employee that get creative and teamwork. In job responsibility learning factor 1. To develop trainee learning based on organizational regulation and criteria. 2. To improve job responsibility knowledge about principle concept and theory for training management on internet network system. 3. To develop job skill of trainee for create job performance. 4. To instill employee learning for virtue and ethics on job function and organization. 5. To educate trainee learning on creativity training and practice. 6. To appeal trainee on training content interesting for employee awareness to employee performance. 7. To motivate trainees for words of month and have good organizational image after training. 8. To plan for exchange training knowledge in advance about strength weakness threat and opportunity of organizational performance for create business competitive. In building for employee engagement 1. To build organizational learning and employee development from training. 2. To improve trainee self assessment for his or her performance and information technology skill. 3. To plan for career path progress. 4. To convey trainee experience learning to the others for establish organizational performance. In measuring for return on investment from employee security learning on the job working. 1. To analyze the job satisfaction that employee perspectives affecting organization security. 2. To analyze zero defect low fringe benefits expenses and saving energy cooperation. 3. To analyze work safety better life and health care affecting fringe benefits expenses risk management and so on.

The shallow water model is a mathematical model was developed from the shallow water equations. It consists of the continuous flow and the momentum equation of non-linear in the x-axis and y-axis. The boundary conditions of the model is the cyclic continuity from east to west and the open boundary conditions from north to south. The northeast monsoon forecast by the shallow water model can’t be predicted in a long time period because the boundary conditions of the model has a problem. Thus improvement the boundary conditions of shallow water model by using wall boundary condition from north to south. The results of this research to found that the shallow water model can correctly forecast the northeast monsoon period in the long term.

This research aimed to develop and evaluate a blended learning model for Home Economics students at Rajamangala University of Technology to increase teaching and learning effectiveness. The model development was collected from 9 experts. Questionnaires were used to ask for their opinions on the model’s 9 components which were 1) teaching and learning objectives 2) student readiness 3) instructor readiness 4) course plan 5) e-learning courseware design and development 6) teaching and learning environmental availability 7) Blended Learning instruction procedure 8) supportive activities and 9) monitoring and evaluation. To test for effectiveness the experimental one-group and pre-posttest method were used. The sampled group was a class of the first-year students enrolling in Science of Cookery Course at Rajamangala University of Technology Phra Nakhon. The findings suggested that the model was practical. Both the knowledge and self-directed learning post-test scores were higher than the pre-test scores. Moreover the students were highly satisfied with the model.

The aim of this study was to develop a three-dimensional transient condition model to predict the heat transfer rate of a heat pipe heat exchanger. This paper presents the details of the calculated domains which consist of the wall wick and vapor core. They were numerically simulated using the finite element method. The heat transfer rate values obtained from the model simulation can be used to design heat pipe heat exchangers. The values obtained from the model calculation were then compared with the results from experiments and the differences were 10.3% 10.4% and 6.7% for the working fluids of distilled water ethanol and R134a respectively. The working fluids of distilled water ethanol and R134a obtained heat transfer rates of 627.3 watts 522.8 watts and 836.4 watts from the experiments respectively.