The objectives of this survey research are to study perception participation and relationship of the factors influence the participation in food safety program. The population was health personnel with purposive sampling represented 30 samples. The tools were questionnaire and descriptive statistics included percentage and chi square test in which to analyze the relationship of the factors influence the participation. The result of this study revealed that the valid perception of the health personnel in 4 aspects of food safety program consisted of perception in danger of food contamination perception of food sanitation perception of best practices and utilities of food safety and perception of threads were generally in the moderate level. The samples participated in every steps of the food safety program which consisted of planning implementation and evaluation revealed that 35.67% of them had participated. The factors related the participation in food safety program had a statistic significance (p<0.05) included the status of consumer protection the information perception in consumer protection and frequency of implementation of the health personnel in consumer protection.

The purpose of this research is to study the effect of a safety system provided for external wall plastering activity on productivity by studying a construction of commercial buildings. The safety system composed of (1) stable scaffolding system (2) providing clean and not slip walkways on the scaffold (3) installation of handrails not less than 0.90 meters in height along sides of the scaffold (4) installing safety nets around outside perimeters of the scaffolding (5) indicating working area (6) installing stairs (7) providing protection for people who works below (8) providing tools and equipments for transporting material which are safe and ready for using and (9) providing personal protective equipment for workers. Cost of the safety system is 79665 baht for a wall area of 1510 m2 or approximately 53 baht/m2. The prevention cost is quite high because it is an initial investment cost. However contractors could repeat theirs used on future projects. Productivity rates for prior and after the used of safety system are 1.16 and 1.13 m2/person/hr respectively. The productivity declines for approximately 3%. In addition our study found an impact of predecessor activity which is a brick laying activity. If brick walls are not well aligned and plumbed the working time for wall plastering could take longer for 8%. Meanwhile the wall plastering productivity could decrease for 11% and labor cost could increase for 12%.

The research regarding effect of nanotechnology use in making chef apparel on safety of food had the objectives to study about the result of using nano materials coating on yarn and fabric; to study about the use of nano materials which are suitable for fabric to be sewn for being chef apparel and to study the effect of using of nanotechnology for chef apparel on smell and the inhibition of pathogenic bacteria growth using three types of nano materials including Zinc oxide nano Silver nano and Titanium dioxide nano to be coated on four samples including cotton thread T/R thread cotton fabric and T/R fabric. The researcher tested the fabric sample for inhibiting growth of pathogenic bacteria and found that Zinc oxide nano and Silver nano were not different in inhibiting growth of pathogenic bacteria. But the coating on the fabric is more convenient and cheaper. And effective against Gram-positive bacteria. A bacterium that is often found in personal hygiene unclean conditions better than or equal to SS.S3%. Then Four kinds of fabric were sewn to be chef apparel. Actual chef tried wearing to test effectiveness in resisting bacteria. When the apparel was used for two times it was found that T/R fabric which was coated with Zinc oxide nano and Silver nano had different ability to resist gram-positive bacteria and gram-negative bacteria. Fabric T/R Silver nano coating remains effective against bacteria as well and proper to be sewn as chef apparel.

The goal of this study is to study the cost of safety system in building construction by studying multipurpose building with durable goods project. The cost of safety system in building construction is divided into two categories are the safety measure cost and the safety program cost in construction. From the study it is found out that the value of safety measure cost is approximately 1.85 % of a project cost and the value of safety program cost is approximately 0.98 % of a project cost. To sum up the cost of safety system in building construction is approximately 2.83 % of a project cost .Moreover the study found out that the safety measure cost is higher than the safety program cost about 1.88 as much. From the data of this study it can be used as the guideline in estimating the cost of safety system in building construction for the future project.

The surveillance and reports on accidents for the current traffic management are carried out by viewing and inspecting CCTV footage. This method is slow to detect incidents and requires a lot of manpower. Since nowadays communication technology and social media play a role in reporting such incidents this research has been conducted to investigate accidents of interest from text messages reported on social media in Thai. There is currently no research or platform that supports this type of work clearly. This research presented the development of a neuron network memory-learning model to solve the problem of incidence pattern classification and incidence severity identification from social media messages in Thai. Using deep learning models such as MLP CNN Bi-LSTM and LSTM+CNN the study was designed and divided into three experimental patterns. This included examining patterns to identify traffic incidents that may be reported as general news or traffic reporting; examining patterns to indicate the type of incidents such as traffic accidents disasters damaged roads or others other than those mentioned; and examining patterns to specify the severity levels of the incidents such as normal intermediate traffic lane blocking or immovable. The experiments demonstrated the capability of CNN+LSTM learning models with the best incidence detection result at 93.44 %. The CNN model gave the best result in identifying a pattern of incidence at 85.29 % and the LSTM model was best able to determine the severity levels of the incidence at 88.53 %.