The purpose of this research is to study assessment of safety in construction of building projects. The safety assessment form was developed by referring to the Ministerial Regulations. The safety assessment composed of 8 categories: (1) construction site perimeter (2) electricity and fire protection (3) crane (4) passenger lift and material hoist (5) welding (6) fall protection (7) temporary scaffolding and stairs and (8) personal protective equipment. Based on the safety assessment of the construction site the size of the large building exceeds 2000 m2 and height exceeds 23.00 m. in the Bangkok metropolitan has of 20 buildings. The average of safety is 80 percent. By construction site perimeter the highest average and the fall protection has the lowest mean. So all parties involved workers contractors and project owner in particular need to focus on safety work to prevention against falls from high in order to reduce the loss of property life company reputation including the morale of the work as well.

The objectives of this research are to propose an efficient and proper model that fits the cassava and rubber yields data. A generalized estimating equation (GEE) and a linear mixed model (LMM) with spatial correlation following the conditional autoregressive model (CAR) were adopted. The dependent variables are the cassava and rubber yields collected each month in every province of Thailand. The factors considered are rainfall averaged temperatures and regions. The results from GEE and LMM show that the factors influencing on the cassava and rubber yields are rainfall averaged temperature and region. Both GEE and LMM fit the correlated data. The GEE is used to explain the influence of factors on the yields in all provinces while the LMM is used to explain the influence of factors on the yields in each province.

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.

This research aims to develop the cement board from vesicular basalt fragment which reinforced with steel wire mesh. The ratio of Portland cement type1: fine sand: vesicular basalt fragment: sodium silicate: tap water was equal to 1: 2: 4: 0.03: 0.55 by weight. The 5 sizes of steel wire mesh (steel wire no.25) were installed including: 3/8” 1/2” 5/8” 3/4” and 1”. The cement boards were produced by compression machine. The property tests of cement-bonded fiberboard followed the TIS. 878-1994 standard (cement bonded particle board: high density). From the results the 3/4 of steel wire mesh size was the most suitable size for reinforcing the cement board from vesicular basalt fragment. This developed cement boards was the construction materials which had the high bending strength good thermal insulation and moisture protection properties.

The research aims to study and develop the Kaolinite mixed with cement powder for the mass wall. The Kaolinite development process to improve the characteristics. The Kaolinite mixed ratios are 10% 20% 30% and 40% and the result indicated that the experiment mortar-mix ratio at 0:8:2.75:0.2:0.05:0.04:0.5 of cement powder sand Kaolinite limestone superplasticised and clean water compared to No MK control sample covered ASTM standard in tensile strength more than 100 ksc compressive strength of MK20% with superplasticised at 434 ksc. The water absorption values under the standard passed