Nowadays car is one of important factors for the human life whereas critical traffic dramatically effects on risk of accident between cars and pedestrians. Therefore the road accident is the enormous loss of human resources. Regarding this problems the lifted mechanism of vehicle hood was concerned and installed on the vehicle hood simulator to mitigate the severe accident in this project. To achieve this the energy absorption was established to decrease the injury of pedestrians by the gap increase between the bottom edge of hood and the engine valve cover. This solution can increase the ability of energy absorption during an accident moment. There were 8 steps of hood gap in this study to in the experimental works indicated by Head Injury Criterion HIC from head-form. The testing program was referred by Pedestrian Protection Test Procedures in EURO NCAP. From the experimental works the increasing gap between the bottom edge of hood and the engine valve cover tends to decrease the values of HIC. By the lowest of HIC the 4th gap is 18 cm of space representing 90.17 and 208.06 of HIC15 and HIC35 respectively. In consequence of experiment the gap between the bottom edge of hood and the engine valve cover plays a role on the HIC value in which it can mitigate the severe injury of pedestrian on accidental way whereas the lifted up mechanism of hood are ability as conjecture.

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.

Currently transport has played an important role in everyday life resulting in huge traffic jams caused by big city streets and pollution problems from global warming to global temperatures are rising. Since humans are creatures that prefer comfort in all areas which contrasts with the higher temperatures of the Earth. Currently the use of air conditioning a lot. To modify the temperature is reduced in the range 2 3 to 25 degrees Celsius makes people feel comfortable. However the use of air conditioning in the car cabin cooling efficiency can be increased to a higher level than it is by cooling the refrigerant. The aim of this research is to test and compare the performance of car air conditioning systems usually equipped with a heat exchanger. Using water from the condensation of evaporator as a medium for heat transfer. By installing the equipment at the outlet of the condenser. This causes the temperature of the refrigerant is low. The pipe lengths in the equipment from the calculation of 1 .2 meters and copper lines that increases the length of the tubes was calculated to compare with a length of 1.6 meters to test the speed of the compressor 1000 1500 2000 and. 2500 rpm and a wind speed of 20 35 and 50 kilometers per hour. The results of experiment found that the temperature refrigerant equipment decreased from an average of 1.6 degrees Celsius the pipe length of 1.2 meters and 1.6 meters of pipe temperature drops 1.8 degrees average temperature attended Eva sufficiently reduced operator. It increases energy efficiency ratio averaged 6.68% of the pipe length 1.2 m and 22.24% at a length of 1.6 meters as well as to increase the coefficient of performance of the air conditioning system. 6 .6 9 % of the pipe length of 1.2 meters and a length of 1.6 meters at 22.4% with the key factor in optimizing the cars air conditioning system. Making the refrigerant from the condenser the temperature drops to pull heat out of the cabin through evaporator higher.

This study included the following objectives: 1) to study the demographic characteristics that influenced the consumer buying behavior for Honda cars 2) to examine the consumer perception that influenced a decision to choose Honda cars and 3) to investigate the marketing communication channel that had a decisive influence towards consumer buying behavior for Honda cars. The 400 customers who reserved Honda cars or signed contract of sale with the Honda car dealers at the showrooms in Bangkok were selected as a sample. This quantitative research was conducted by survey distribution of questionnaire for data collection data analysis using percentage mean and standard deviation and statistical hypothesis testing: T-test F-test and correlation analysis. Five appointed professionals had assessed the Index of Item - Objective Congruence (IOC) and the result of content validity for every item in the questionnaire was interpreted at 0.94 level with the reliability test result of the questionnaire at 0.9667 level.

The objectives of this research are to propose a proper model for defective products in an autoparts manufacturing industry to apply the proposed model to the defective products data to investigate the factors related to the machines producing defective products and to compare the proposed model with the generalized estimating equations model (GEE). The proposed model is a generalized linear mixed model (GLMM) in which the dependent variables have a Poisson distribution. The parameter are estimated using a Bayesian method. The data were collected from 12 machines 15 days for each machine from an autoparts manufacturing factory. The data collection dates vary depending on the working steps and the product types. The results show that the proposed model fits the data. The factors related to the machines producing defective products are working steps workers and product types. According to the estimates of the factors effects the working step producing the largest number of defective products is the working step 2 followed by the working steps 3 1 and 4 respectively. The worker producing the largest of defective products is the worker 4 followed by the workers 10 5 8 6 2 3 1 7 and 9 respectively. The product type 3 has the largest number of defective products followed by the product types 2 and 1 respectively. If the population-averaged effects are focused the GEE is applied. However the subject-specific is focused the GLMM is applied.