To do this project. Aims to study how to The equipment cloth spreading knock down.To save time in laying machine. To cloth spreading for a performance. Labor savingsThe sample used in the experiments The equipment cloth spreading knock down industrial clothing ready synchronization application path when they are limited and survey tool is divided into 4 steps 1 step is information. General of the respondents at the 2 as information about product format and The equipment cloth spreading knock down at about the 4 comments and suggestions by users. Use a percentage. Summary of experimental results that. Samples to The equipment cloth spreading knock down works as follow. Samples was mostly female. Are interested and would like a The equipment cloth spreading knock down. Which can reduce cost and labor savings. Increase the amount of crab cut fabric pieces and save time in laying machine is useful and appropriate can be made in the finished garment industry.

The objective of this project work was to study and develop of womens clothing from Khu Bua Jok fabric at Ratchaburi province. The research instrument was a set of questionnaires comprising checklist for the clothing prototype for 5 patterns. The statistics used to analyze the data were frequency percentage and standard deviation. Answered by 25-35 years old ladies whom were student and income 15000 baht per month and undergraduate. Their opinion were high level to this products were be develop in sewing technique knowledge as scored as 4.09 in decorate material as scored as 3.63 and in suitable pattern as scored as 3.61. There were commented such as these Blouse designs scored sewing technique knowledge know how support other people to use this fabric apply ladies blouses by use this fabric this fabric were suited to make ready-wear developed more pattern and they were known the Khu Bua Jok fabric as medium scores as 3.36 3.10 3.06 3.01 2.83 2.64 and 2.34 respectively. This products were to comment for each factors; The pattern no.4 was the most suitable the most suitable material was pattern no.2 the best sewing technique was pattern no.2 and no.4 the best decorating was pattern no.4. The evaluated comment scored for pattern no.4 no.2 no.1 and no.5 were high as scored as 3.74 3.68 3.63 and 3.62 respectively but the pattern no.3 was scored medium as scored as 3.58 out of 5.

The purpose of this project is to reuse the wasted cloth into a street wear style cloth. We will use a 100 people as our target group. The materials for the project are : 4 types of reused street wear cloths and a survey. From the study we have sum up to a conclusion. We have prepared 4 street wear cloths targeting ladies age from 21-23 and 25. These participants needs to have at least a under grads Degree with an incomes of 15000 bath or lower per month. The question in our survey consist of : That these reuse street wear cloth can reduce the amount of wasted cloth and it can also be brought Into a main line of cloth wearing. It can also be also be worn on a daily bases. It is also quite pretty and Attractive. It is useful and it can help to give more value to those wasted cloths. This type of clothing is suited for ladies from 21-25 years of age. And it can also benefit them. Does it have a modernized way of Decorations? And will it benefit to those who live around us. and the results are all came in as a High rating from 4.4 4.42 4.35 4.34 4.33 4.29 4.28 4.27 and so on. The detailed conclusion to the street wear cloths are : the design sample 1 sample 2 sample4 Sample3 are scored accordingly 4.34 4.25 4 3.54 in orderly fashion. The cutting sample 1 sample 2 sample 4 sample 3 came as a high rating scoring from 4.28 4.25 4.19 3.7 accordingly. The decorations sample 1 sample 2 and sample 4 came in as high rating scoring from 4.31 4.24 3.99 Aecordingly. The sample 3 came in as medium score of 3.46. the patching sample 1 sample 2 sample 4 sample 3 came as a high score rating 4.38 4.36 4.04 3.76 accordingly the coloring sample 1 sample 2 sample 4 came in as high score from 4.4 4.33 4.05. but sample 3 have only received a Medium score 3.5. for over all scoring sample 1 sample 2 sample 4 sample 3 all got high scores of 4.34 4.29 4.05 3.59 accordingly.

The objective of this fashion thesis was to study womens clothing design in party wear style inspired by Thai Lacquer Art (Lai Rod Nam) in Ayutthaya era. The outstanding points of Ayutthaya era’s Lacquer Art: appearance and pattern of lacquer decorating Tripitaka cabinet were applied in connection to Khon costumes to create and design womens clothing in elegant and tasteful party wear style. The instruments included Ayutthaya era’s Lacquer Art analysis form consisting of layout and pattern placement and color use Khon costumes analysis form consisting of costumes layout focusing on physical nature and overall work analysis. The results of this study showed as follows. The author applied Thai Lacquer Art pattern decorating Tripitaka cabinet in Ayutthaya era including Kanok Pleaw Kanok Ruang Khao Pun Pruksa and pattern in animal figures to redesign and reorganize the work. Digital printing technique was use to press the pattern on the fabric to be applied to Khon costumes structure. This study focused on the design and development of clothing that is modern while remains the identity of Thai Lacquer Art.

CO2 emission of rail transportation system plays more important role including the expansion of BTS route that consume the energy and emit CO2 gas more and more. The purpose of this research was to find out amount of CO2 emission from travelling by BTS train and determine specific CO2 emission per product in the form of gCO2e/passenger/km then forecasting on CO2 emission from BTS operations. Research process was initiated from collecting monthly data on ridership distance and electricity for 55 months continuously then regression analysis CUSUM and time series analysis were used for prediction and analysis of CO2 emission. The finding indicated that BTS’s specific CO2 emission was 24.7 gCO2e/passenger/km. Forecasting CO2 Emission from BTS result that Winters Exponential Smoothing Method is most accuracy then Double Exponential Smoothing Method Trend Analysis Method and Decomposition Method respectively. The result of these analysis could be used to calculate carbon footprint from staff travelling by BTS train and promote people to use public transport by government as sustainable transportation concept.