This research presents a study of the use of classified fly ash and ground rice husk ash as a pozzolanic material in producing high-strength concrete. Portland cement (CT) is partially replaced with classified fly ash and ground rice husk ash by weight of the cementitious materials. Compressive strength porosity and chloride penetration were investigated. The results show that the compressive strength resistance to chloride and low porosity of high-strength concrete improves substantially with partial replacement of Portland cement with fly ash and rice husk ash.

The objectives of this research are to propose a linear mixed model (LMM) with spatial correlation for an analysis of rice yields in Thailand to estimate the rice yield in each month of all provinces in Thailand to investigate factors influencing on the rice yields and to construct the maps of rice yields. A linear mixed model (LMM) in which the spatial effects follow the conditional autoregressive model (CAR) is used. The estimated rice yields are used to construct the rice yield maps. The dependent variables are the rice yield in each month of each province. The data are secondary data at a provincial level. The factors considered are rainfall averaged temperatures and regions. The results show that the factors influencing on the rice yields are rainfall averaged temperature and region. The amount of regional effects ordering from largest to smallest values are northestern region southern region western region central region eastern region and northern region respectively. The top ten provinces and months with high yields ranking from largest to smallest values are Ubon Ratchathani in November (1328000 ton) Surin in Novermber (1070000 ton) Si Sa Ket in Novermber (1023000 ton) Buri Ram in November (939400 ton) Nakhon Ratchasima in November (907500 ton) Roi Et in Novermber (852800 ton) Chiang Rai in Novermber (769800 ton) Khon Kaen in Novermber (692800 ton) Maha Sarakham in Novermber (676200 ton) Udon Thani in Novermber (620600 ton) respectively. The rice yeilds maps are easy for readers to identify which areas have high or low yields. They are a useful tool for planning decision making and implementing plans to help rice famers to increase their rice production.

This research study about rainfall pattern in Thailand due to the influenced of the tropical cyclone. The annual rainfall analysis was derived from the Thai Meteorological Department (TMD) since 1 9 7 1 -2 0 0 0. The analysis of annual rainfall used composite analysis and classification of rainfall patterns with cluster analysis. To measuring the similarity between the rainfall patterns in each year by hierarchical clustering method. In addition use to Single Linkage rules for grouping the rainfall pattern and using the distance between the units close together as possible into consideration. The summarized of rainfall pattern due to the influenced of the tropical cyclone are usually found in the eastern and northeastern regions of Thailand. It is found that a heavy rainfall. The rainfall pattern in the western regions of Thailand has the least amount of rainfall as a result of drought.

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 research were to study the base recipe of Macaron to study the type and amount of Sacha inchi nuts instead of using almond powder in the base formula of Macaron to study the filling taste nutrition value and consumer acceptance of Macaron products from Sacha inchi. Sensory evaluation with 9 points Hedonic scale found that the base recipe of Sophon (2014) consists of 26.09% almond powder 22.17% sugar 26.09% icing sugar 19.13% Albumin and 6.52% water has been accepted by the most panelists because this sample is crisper than the others. The result of using 3 types of Sacha inchi powders; raw nut baked nut and seed-based protein powders found that Sacha inchi seed-based protein powders instead of using almond powder was the most acceptance. Due to Sacha inchi seed-based protein powder was extraction some oil then the smell of the Sacha inchi nuts has decreased. Resulting in higher acceptance scores in terms of taste and overall preference. It was found that 75% of the Sacha inchi nut seed-based protein powders could be substituted for almond powder because the properties of the Macaronhas been accepted.In addition coffee taste is the types of filling which higher acceptance than vanilla and chocolate filling because coffee odor helps to deodorize the smell of Sacha inchi nut in the product. Results from consumer test the Macaron from Sacha inchi nut with coffee filling was accepted at the level of 86% in term of taste and delicious. For nutritional value replacement of Sacha inchi nut powder instead of almond powder in the Macaron could increase the amount of protein and also reduce the amount of fat.