The objectives of this study were 1) to study the basic formula of Bean-Based Meat Analogue Products Supplemented. 2) To study the appropriate amount of lotus root utilization as supplementation in bean-based meat analogue products and to study the nutritional value of bean-based meat analogue products supplemented with lotus root. 3) To study the acceptance of bean-based meat analogue products supplemented with lotus root. 4) To study the consumer acceptance of bean-based meat analogue products recipes supplemented with lotus root. The results showed that the basic formulation of bean-based meat analogue in the recipe 2 which contains 50 grams of soybeans 60 grams of green peas 40 grams of white beans 10 grams of shiitake mushrooms and 5 grams of beetroot was the most accepted by 5 experts. The results of sensory evaluation showed that lotus root supplementation in a 10% bean-based meat analogue formulation was statistically significantly higher than that of 5% 15% and 20% lotus root supplementation (p≤.05). The results of the calculation by software package showed that the amount of dietary fiber in the basic formula was 15.56 gram which was lower than the formula that supplemented with lotus root. The amount of protein in the basic formula was 41.40 grams which was lower than the lotus root fortified formula. The results of a consumer acceptance test of 30 people using the 9-Point Hedonic Scale rating method showed that the majority of consumers liked the shape and color. As for the taste smell texture and overall liking it was at a moderate level of acceptance and 93.33% accepted the bean-based

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 %.

The purpose of this research was to design and develop products from polyester yarn scraps according to an eco-economic design concept. The workpiece is formed by the compression molding machine used in the industrial system. Researchers studied the waste materials used in various processes of manufacturing in textile establishments to increase their value by designing a new product or by developing polyester yarn scraps. According to the research process with the upcycle method that focuses on using resources for maximum value by turning the scarps into new products and eco-design concepts to increase the value of plastic polymer waste one of the concepts of resource efficiency (4Rs) by recycling and design process. The research focuses on the process of polyester yarn scrap forming especially from the textile industry with the potential to be re formed to create new products with beautiful shapes and unique patterns. From polyester yarn scarps through the extrusion process. By using the compression molding machine with a compression force of 80 tons the temperature range and the time are controlled appropriately. Under the mold prototype hat from or flash mold.

The objectives of this research were 1) to create a game-based teaching media for learning about food selection among junior high school students. 2) To compare the learning achievements of lecture- based teaching with game- based teaching. And 3) to study the satisfaction of junior high school students with game- based teaching materials for learning about food selection. The sample consisted of 34 students studying in Mathayom 2 at Nawaminthrachinuthit Suankularb Wittayalai Samutprakarn School academic year 2022. The samples were selected using Cluster Random Sampling method. The instruments used in the research were the media quality assessment and student satisfaction assessment. The statistics used to analyze the data were mean standard deviation and t-test. The results of the research were as follows: 1) the creation of game-based teachingmedia for learning about food selection found that the suitability of teaching materials as a whole was of a very good quality while the content aspect was also at a very goodlevel and in terms of educational technology the quality was very good in all aspects. 2) The comparison of middle school student learning achievement after using method of lecture-based and game-based for learning in terms of buying food selection. It found out that the learning achievement after using between lecture- based and game- based were different as the statistic level of .05 which lecture-based achievement was lower than thestandard. While using game-based teaching was higher than the standard. 3) To study the satisfaction of junior high school students towards teaching media using games- based instructional media for learning about food selection it was found that the satisfaction of the learners on the teaching media in terms of content was at a good level. As for the media aspect of the game- based format it was at a very good level and the benefitsreceived from the media were at a very good level.

This research aims to for the development of an automated message response system using the LINE bot program for supporting information technology work. For supporting the reporting of computer problems the Internet the use of audiovisual equipment within the Faculty of Business Administration. Including basic troubleshooting for users. The results showed that developing an automated message response system using the LINE bot program. For IT support the use of Line Bot by using Line to report problems enables better interaction between users and device administrators. Allows users to be aware of basic solutions. Which is also a convenient and quick way to report problems save cost because within the area of the Faculty of Business Administration Rajamangala University of Technology Phra Nakhon has full internet service that the lecturer and staff can connect internet at all times.