This research aims 1) to study the relationship of human capital development to promote Thai traditional medicine in central north-eastern region 2) to analyze factors effect to human capital development to promote Thai traditional medicine in central north-eastern region 3) to synthesize the relationship of human capital development to promote Thai traditional medicine in central north-eastern region 4) to synthesize the quality of human capital to promote Thai traditional medicine in central north-eastern region. Research methodology is mixed-method in both quantitative and qualitative. Quantitative analysis data collected were 370 samplings from Thai traditional medicine in central north-eastern region; 4 provinces Kalasin Roi Et Mahasara Kham and KhonKaen between August 2017 – April 2018. Statistical analysis was by canonical method for testing dependent and independent variables. Sample was calculated under Krejcie and Morgan (Krejcie and Morgan 1970:608) against 1543 Thai traditional medicines in central north-eastern region. IOC for questionnaire testing validity and reliability were with alpha coefficient more than 0.70. Data analyzed by SPSS 20 calculated mean median mode standard deviation t-test and F-test statistics analysis using canonical correlation test for dependent and independent variables relation. Qualitative analysis data collected by in-depth interview from administrative of Thai Herbal institution the administrative of center of Thai traditional medicine for gathering and examining the quantitative previous data. The results are 1) human capital development has related to Thai traditional medicine for medical treatment in Thai traditional medicine course of study in low range 2) human capital development has related to Thai traditional medicine for medical treatment for practice experience in very low range 3) human capital development has related to Thai traditional medicine for medical treatment in Thai traditional medicine professional status in low range 4) factors influence to human capital development to promote Thai traditional medicine in medical treatment are government supporting policies and remuneration system 5) human capital development has related to Thai traditional medicine for medical treatment in knowing sickness knowing medicine capability of medical knowledge and knowing sickness originated that has related to course of study and certificate granted in medical treatment pharmacy midwifery and Thai massage in high range 6) human capital development has related to Thai traditional medical evolution in government supporting policies and remuneration in very high range.

This research report describes the study of the development of finite element modeling for magnetoacoustic wave generation for non-destructive tomography. In the study the two-dimensional finite element model is used for the generation of magnetoacoustic wave in the mimic biological tissue model. The Gaussian pulse is applied as the excitation pulse in this research. The result of signal capturing at the boundary of mimic tissue model is used for the reconstruction cross-section image which is agreed to the original conductivity distribution.

This research aims to study the important factors that affect the decision making in the manufacturing process development of industrial factories according to the Industry 4.0 concept and to create decision models. The model developed from applying Analytic Hierarchy Process (AHP) to this group of experts focuses on the most strategy and organization factors accounted for 28.3 percent followed by the smart factory accounted for 17.8 percent smart products accounted for 16.3 percent smart operations accounted for 13.1 percent employees accounted for 12.5 percent and the data-driven services accounted for 11.9 percent by the model test results with 3 factories. In conclusion this model can decide the way to improve the production process of industrial plants according to the Industry 4.0 concept that is suitable for the context and limitations of each industrial plant can be used for all types of industrial plants and will directly benefit the decision makers of industrial plants to improve the production process and develop into smart factory based on the Industry 4.0 concept.

This research on the “The design and development of Quick-Dry finishing applied to Muslimah clothes” had the objective to create knowledge in the development of Muslim women’s clothing with the emphasis on religious benefits. Likewise this research aimed to solve the problems of dampness after ablution which is the daily routine of Muslim people in order to provide clothing that are suitable for wearing while retaining the aesthetic elements according to the doctrine of Islamic religion. The prototype of Muslim women’s clothing with a quick dry finish had been prepared for religious benefits. Moreover the guideline for the production of a new form of clothing had been developed to enter the AEC market in order to correspond to the government’s policy on economic development. The research process consisted of 9 steps as follows: 1) review related theories and literature; 2) conduct questionnaire to collect preliminary data and draw conclusions; 3) design 15 Muslim women’s dresses to reduce the dampness after ablution; 4) select 4 dresses to be used as prototypes; 5) conduct experiments on the sample group while they were performing ablution; 6) collect data from the satisfaction survey; 7) evaluate the obtained data; 8) analyze the obtained data; and 9) conclude and discuss the research findings. After selecting the prototypes that are appropriate to this research it is evident that all selected prototypes were black in color with a similar design to Abaya dress due to its classic look. The majority of the sample stated that they adhered to the culture of the Middle East which is the origin of Islamic religion. All of the prototypes used Ponte de Roma knit but were composed of four different types of fabric: C40 TK45 Micro27/72 and CVC40. The prototypes were tested according to Fabric Test standards. All types of fabric were compared in terms of their finishing properties: no finishing and quick dry finish. The results indicated that the color resistance to washing had decreased for C40 TK45 and Micro75/72 fabrics while improved for CVC40 fabric. Meanwhile the color resistance to sunlight had decreased for C40 fabric while improved for TK45 and Micro75/72 fabrics and remained unchanged for CVC40 fabric. Moreover the color resistance to sweat and water had decreased for C40 TK45 and Micro75/72 fabrics while improved for CVC40 fabric. In addition fabrics with the composition of synthetic fibers had a better moisture management than fabrics with the composition of natural fibers. Meanwhile the drying rates of C40 TK45 and Micro75/72 fabrics increased by 26-28% when compared to fabrics of the same types but without a quick dry finish as opposed to CVC40 fabric that reduced by 11%. The most prototype popular was number 4 which was suitable for all factors.

Thailand is an agricultural country. So that the water resources are important. The water management is very important for keep the water used in necessary time. The monsoon is causes a heavy rain. The monsoon prediction by the mathematical model is important. The accuracy of the forecasts by the predictability measurement method is very important. In this research improvement the predictability measurement for the winter monsoon prediction in the Southeast Asia by the shallow water model. The data from The Bjerknes Centre for Climate Research (BCCR) University of Bergen Norway. The global climate model is Bergen Climate Model (BCM) Version 2.0 (BCCR-BCM2.0) of the Intergovernmental Panel on Climate Change (IPCC) are used. The data for run the model on 19 December 2059 from the WCRP CMIP3 is the initial condition. The model is run for 7 days forecast. The Lyapunov exponent (LE) is the predictability measurement method for verify the efficiency of the model and improvement the largest Lyapunov exponent (LLE) by limit theorems for verify the efficiency of the model too. The results to show that the shallow water model can be prediction the winter monsoon for 4 days forecast is accuracy when compare with the BCCR-BCM2.0 model and measure the accuracy by LE. In addition the improvement the LLE by limit theorems can be measure the accuracy of the winter monsoon for 4 days forecast to same as the LE. Therefore the improvement the LLE by limit theorems can be measure the accuracy of the winter monsoon prediction in Thailand by the shallow water model are suitable.