Abstract: Banana French Fries This project aimed to study and develop the product Banana French Fries, which is a snack made by frying bananas in a form similar to French fries, in order to add value to bananas and create new choices for consumers. The experiment consisted of selecting suitable banana varieties, developing a coating formula, and testing the taste of samples. The results of the study found that Nam Wa bananas are the most suitable for making banana French fries because they have a firm texture and naturally sweet taste. The best coating formula consists of wheat flour, eggs, and milk, which provide longer crispiness. The taste test found that most consumers gave a very good response and were satisfied with the taste and texture. This project shows that banana French fries are a product with potential to be developed as a healthy snack and can be further developed into a commercial product in the future.
เปลี่ยนจากการบริโภคมันฝรั่งจากเดิมให้มีความแตกต่างจากปกติให้ลูกค้ากลุ่มใหม่ได้รับประทานผลิตภัณฑ์รูปแบบใหม่จากล้วยและได้ช่วยให้เกษตรกรได้มีรายได้ในส่วนนี้ด้วย
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
When it comes to the general perception of death, it is often seen as something negative or inauspicious. However, the end or death of someone can sometimes be the beginning of change, influencing thoughts, lifestyles, and attitudes in a positive way for those around them. For students aged 13-18, accessing and understanding this topic remains a challenge. Most available information is often presented in complex forms that are difficult for young people to grasp. Moreover, teaching materials in schools often lack creativity and engagement, leading to a decline in students’ interest in this subject. To address this issue, a website has been designed as an accessible and creative resource. It aims to deepen young people's understanding of the impact of actions and the death of individuals on the world they live in, while inspiring them to become part of creating positive change for the future.
คณะวิทยาศาสตร์
Currently, climate change and human activities are causing rapid deterioration of coral reefs worldwide. Monitoring coral health is essential for marine ecosystem conservation. This project focuses on developing an Artificial Intelligence (AI) model to classify coral health into four categories: Healthy, Bleached, Pale, and Dead using Deep Learning techniques. With pre-trained convolutional neural network (CNN) for image classification. To improve accuracy and mitigate overfitting, 5-fold Cross-Validation is employed during training, and the best-performing model is saved. The results of this project can be applied to monitor coral reef conditions and assist marine scientists in analyzing coral health more efficiently and accurately. This contributes to better conservation planning for marine ecosystems in the future.
คณะวิศวกรรมศาสตร์
Under The National Broadcasting and Telecommunications Commission (NBTC), the Telecommunication Enforcement Bureau collects a lot of data on service quality by monitoring and controlling the quality of telecommunications services, mainly by assessing mobile network infrastructure. The NBTC used Microsoft Excel for data analysis but became ineffective and slow. We used Python programming for preparation, analysis, and data processing to address this. Raw data was obtained from the Syberiz program in CSV format, processed in Python, and displayed on a dashboard. The dashboard, developed using Power BI, meets NBTC's telecommunications quality standards. It features maps, test results, and graphical representations. This method enhances the dashboard's appearance and usability and speeds up data processing and visualization compared to Microsoft Excel. This project is primarily designed to help the Telecommunication Enforcement Bureau's operations by making data processing and display for telecommunications quality monitoring faster, more effective, and easier to use.