The objective of the study was to investigate the training needs of the general public and entrepreneurs including those who worked in professional services in Bangkok and suburbs such as Nonthaburi Samutprakan and Pathumthani that operated in workplace.The method used in this study was using questionnaire to gather information about meetings on various occasions.The participants and the sample were general public and entrepreneurs in the Bangkok and suburb areas. The sample of respondents was selected by random sampling consisting of 400 respondents.The instrument used for data collection was questionnaire related to short training courses. This questionnaire contains five parts as follows: Part 1-general information of respondents; Part 2-needs for short training of general public; Part 3-other interesting topics; Part 4- obstacles and problems for those who did not receive short training; Part 5-recommendations. The analyzed data were calculated by using descriptive statistics: percentage mean standard deviation. The results in the study can be summarized as follows: 1. Most of respondents were female whose age was over than 50 years old. Their education level was lower than bachelor’s degree. They worked as general officers with at least five years working experience. 2. The respondents reported their needs for short-training requirements provided by Rajamangala University of Technology Phra Nakhon. The questions asking the training program requirements include 24 items with 5 rating scales: 1. The least 2. Less 3. Moderate 4. High and 5. The highest. The results show that most respondents needed to participate in short-training programs especially in the highest need on item 3.4 Research and the Development of the Community Innovation (x̄ = 4.7649). The results also report that most respondents were highly interested in participating short training program on 21 categories for example Item 1.6 Innovative Social Science Research Methodologies (44.6%) Item 1.1 The Development of Managing International Culinary Training (34.1%) Item 3.3 Knowledge Management in Community of Practice (31.4%) and Item 3.5 Multidisciplinary Community Development. The results of the study reveal that the respondents with moderately needs were interested in Item 2.5 ASEAN Languages for communication (21.1%) The data analysis of readiness show that the faculty of arts Rajamangala University of Technology Phra Nakhon was capable of organizing these short-training programs on various topics so as to promote learning and to develop a guideline on academic service for society effectively and to prepare the readiness of places staff experts learning resources as well as collaboration network.

This quantitative research aimed 1) to study operation performance of Thai Gem Businesses. 2) To study factors affecting firm performance of Thai Gem Businesses. The research was collected data by using questionnaire with 452 participants from production group of Thai Gem Businesses. The samples were collected conveniently and analyzed by frequency percentage mean standard deviation Pearson’s correlation coefficient and analysis confirmatory with Structural Equation Modeling: SEM. It was one of all statistic techniques to test for causal relationship of variables. The results found that database information management systems have positively affect strategic management and firm performance of Thai Gem Businesses with significant level 0.05. Database information management systems also have positive affect on strategic management of Thai Gem Businesses with significant level α < 0.05. Besides this research results found that database information management systems has positively direct and indirect affecting firm performance by pass strategic management with direct affect on firm performance equal to 0.346 and indirect affect by pass strategic management equal to 0.575. And total affect was equal to 0.921 with significant level. It showed that overall affect of database information management system on firm performance was more than strategic management affect to Firm Performance (0.603) with significant level 0.05. The analysis of correlation coefficient model showed that measurement between latent variables have positive correlation with significant level α < 0.05. The analysis of Structural Equation Model revealed that it wassuitable harmonize with empirical data ( χ2 / df = 1.489 CFI = 0.997 AGFI = 0.957 RMSEA = 0.08 RMR = 0.004) and consistent with the define hypothesis. The research results described the environmental of firm performance approach to strategic management by TOWS Matrix and recommendation on strategic management to solve problems on firm performance of Thai Gem Businesses in order to develop continuous firm performance for competitive advantage.

This research aimed 1) to study levels of transformational leadership innovative climate knowledge management systems innovative work behaviors and firm performances 2) to investigate causal relationship of transformational leadership innovative climate knowledge management system as well as innovative work behaviors which influenced on performances of the Medical Device Business in Thailand 3) to examine relevance of those variables along with causal relationships of the antecedents affecting performance of the Medical Device Business in Thailand to empirical data. Data were collected from 312 middle level managers in Medical Device Business in Thailand by using questionnaires as a research instrument. All of the data were analyzed using Structural Equation Model. The analysis of correlation coefficient model showed that the latent variables significantly related to one other at statistical level of 0.001. The analysis of structural equation model (SEM) revealed that the model was completely compatible with the empirical data and the hypothesis. (GFI = 0.933 CFI = 0.972 RMSEA = 0.078 RMR = 0.018) The findings also showed that transformational leadership significantly affected innovative work behaviors at statistical level of 0.001. Similarly innovative climate significantly affected innovative work behaviors at statistical level of 0.001. Likewise knowledge management system significantly affected innovative work behaviors at statistical level of 0.001. Finally innovative work behaviors significantly and directly affected the firm performance at statistical level of 0.05.

This research presents the development of ultrasonic scaler for mobile dental unit. The operation of the scaler uses a phase-locked loop circuit to generate high frequency electrical signal. Then the signal is amplified with a Darlington amplifier circuit to feed to the coil in the Hand Piece resulting in Magnetostriction. This phenomenon causes the stretching and shrinking of the magneto-strictive stack with high frequency which causes the tip of the scaling head to vibrate more than 20000 times/second. Traditional ultrasonic scaler for mobile dental unit has thermal problem of the amplifier circuit due to use of the transistors as the switching devices. When used for a period of time the scaler is necessary to stop working resulting in not much scaling per day. This research solved the problem by using MOSFETs as switching devices and adding cooling system to the amplifier circuit. The experiment was carried out using actual conditions. The experimental results show that the developed scaler has increased the number of scaling per day. In addition it will still remove plaque and dirt in the gumline around the base of the teeth similar to the scaler used by general dentists.

he monthly rainfall forecasts are very important in Thailand because the most of people has a career in agriculture. The monthly rainfall forecasts can be analyzed for manage water resources. In addition the monthly rainfall forecasting is used to manage water for consume in Thailand. This research is forecasting monthly rainfall under the global warming using a multilayer neural network. It is a network with one hidden layer. The data from the Meteorological Department is use. Imported variables include temperature humidity and wind. The forecast from January to December 2018. The mean square error (MSE) to measure forecasting accurate and found that the value is suitable error (10.25). The neural network can provide accurate monthly rainfall forecasts from January to December. It was found that the southern region had the highest rainfall and the eastern region northeastern region northern region central and western regions respectively. Therefore neural networks can be forecast rainfall accurately and efficiently. It can be used to analyze and manage water resources effective.