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

The objective of this research work was to arrange a performance measurement for finding factors which will have influence on the capacity of Faculty of Engineering Rajamangala University of Technology Phra Nakhon leading it to become a digital university. The results of making a survey on the data from the personnel of the Faculty of Engineering showed that: the factor that had the most influence on the capacity of the Faculty of Engineering Rajamangala University of Technology Phra Nakhon was the factor of knowledge and attitudes (the mean was 3.61 which stood at the level of comments very); regarding the level of comments this was followed by the factor that had influence on the capacity of the Faculty of Engineering in terms of the environment in the organization (the overall mean was 3.49 which stood at the level of comments moderate); the factor that had influence on the capacity of the Faculty of Engineering in terms of participation came in the last place (the mean was 3.41 which stood at the level of comments moderate). The basics results obtained from this research work will be partly used as an approach to help improve the processes of the Faculty of Engineering. This will support stepping into becoming a digital university in the future.

The objectives of this research are to propose a proper model for risk assessment for drought in Thailand. A hidden Markov model is adopted. The results indicate that the amount of rainfall depends on the hidden states drought or non-drought state. If the state changes from drought to non-drought the amount of rain will increase. The probability of changing from drought state to non-drought state is higher than from drought state to drought state. The probability of drought occurrence in February is highest followed by in November March December January July April June October September August and May respectively. When the temperature increases the probability of drought occurrence will increase.

The purposes of this research were to study semi-automatic versatile carpet weaving data of central region villagers studies problems and requirement in the semi automatic versatile carpet weaving to be effective fulfill requirements for the most weavers and led the data were to study analyze to create prototype of a semi automatic versatile carpet weaving to develop household textile products in culture that led to the ASEAN Economic Community and lead the knowledge to transfer technology by workshops. This research was the development of experimental research by fieldwork survey from 25 Nam Tao Temple sampling of semi automatic versatile carpet weaver groups in top central at Tambon Wat Nam Tao of Maharat district in Ayutthaya province and choose the specific type with the weaving group and semi automatic versatile carpet weaving from 25 Nong Ngu Hau weaver groups at Tambon Bang Pra Khru of Nakhon Luang district in Ayutthaya province. Total weaver groups who used this carpet weaving jacquard were 50 persons. Results indicated that testing for the satisfaction efficient of villagers were satisfied to the semi automatic versatile carpet weaving jacquard in period that can woven more quickly. Including setting the reel head to stand on the warp by the head reel of carpet loom and the carpet roll can make carpet in 90 centimeters width and applied to household textiles such as carpet rugs wall rugs and decorative carpet. The semi automatic versatile carpet weaving jacquard can weave 4 hooks. They were made the minute patterns exquisitely and various woven. They have added the convenience of a device to lock the both sides of warp reel head and the jacquard structure were increased strength with a square box steel and the Z. It can also adjust the space of the seat movement when weaving according to individual aptitude. It can be moved easily and reduced the lack of warp yarn. It was set easier in new warp yarn by the hooking after setting the warp yarn jacquard was finished. It was convenient to roll the finished carpet weaving by using lever handle to simultaneously rotate on both sides of gear axis. Using a foot pedal lever to raise the hooks raise the sway hooks to lift up follow to the weaving rhythm. It was production costs close to the price of the similar carpet the effective yield rapidly and worth. It was suitable for the beginner weavers or a new person who had basic woven would be weaving rapidly and the carpet weaving quality was good. Due to its rotating axis and lock system were made of cogs that helped to lock the beater or comb teeth for solidness and strength to handle and help facing fabric regularly. Summary this research was is related to the methodology technique and carpet weaving process. The essential was to reel the warp yarn and set the hooks that was minuteness in the deeply technical promotes the concept to develop the semi automatic carpet weaving with electrical system and motor to help labor saving able to reduce and solve period problems too much. So the semi automatic versatile carpet weaving design will be the basic of knowledge direct that can lead to the development of devices patterns and cultural household textile products leading to the ASEAN Economic Community in the next occasion.

The objectives of this research are to propose a proper model for detecting defective machines in auto parts factories to apply the proposed model to the defective product data and to investigate the factors influencing on the machine producing defective products. A Bayesian hidden Markov model (HMM) is adopted. The results show that if the number of defective products increases the machine will be in the hidden bad state. The probability of changing from a hidden bad state to a hidden good state is higher than the probability of changing from a hidden good state to a hidden good state. The highest probability that the machine will be in a good state is at the work process 4 followed by 1 3 and 2 respectively. The highest probability that the machine will be in hidden good state is at the Worker no. 10 followed 9 3 12 7 2 1 6 11 4 8 and 5 respectively and The highest probability that the machine will be in the hidden good state is at the product type 1 followed by 2 and 3 respectively.