The design and construction of a detailed bathroom model with structural components aim to provide a comprehensive understanding of plumbing and electrical systems in bathrooms. This project enables learners to study the intricacies of bathroom infrastructure through a highly detailed model.
โครงสร้างนั้นเป็นสิ่งสำคัญสำหรับการก่อสร้าง เนื่องจากเป็นรากฐานสำคัญในการออกแบบตกแต่งภายใน ทั้งในด้านกฎหมายการก่อสร้างและการอยู่อาศัย การเรียนและเข้าใจพื้นฐานโครงสร้างอย่างถูกต้องจึงเป็นสิ่งสำคัญ
คณะเทคโนโลยีการเกษตร
Durian is a crucial economic crop of Thailand and one of the most exported agricultural products in the world. However, producing high-quality durian requires maintaining the health of durian trees, ensuring they remain strong and disease-free to optimize productivity and minimize potential damage to both the tree and its fruit. Among the various diseases affecting durian, foliar diseases are among the most common and rapidly spreading, directly impacting tree growth and fruit quality. Therefore, monitoring and controlling leaf diseases is essential for preserving durian quality. This study aims to apply image analysis technology combined with artificial intelligence (AI) to classify diseases in durian leaves, enabling farmers to diagnose diseases independently without relying on experts. The classification includes three categories: healthy leaves (H), leaves infected with anthracnose (A), and leaves affected by algal spot (S). To develop the classification model, convolutional neural network (CNN) algorithms—ResNet-50, GoogleNet, and AlexNet—were employed. Experimental results indicate that the classification accuracy of ResNet-50, GoogleNet, and AlexNet is 93.57%, 93.95%, and 68.69%, respectively.
คณะวิทยาศาสตร์
Efficient logistics management requires the development of advanced tools to streamline delivery operations. This study aims to optimize vehicle routes for an animal feed store and develop a web-based application for route planning. The research compares two optimization methods: the Branch and Bound Method and Clustering with the Branch and Bound Method. These methods are evaluated against the store’s existing delivery route by analyzing differences in average travel distance across three dependent groups using Repeated Measures ANOVA. The findings reveal a statistically significant difference in average daily travel distances among the three methods at a 0.05 significance level. The Branch and Bound Method yields the shortest average daily travel distance. Additionally, pairwise comparisons of total daily travel distances using the Paired t-test confirm that the Branch and Bound Method produces the most efficient route with statistical significance at 0.05 level. Implementing this method can reduce total travel distance by 957.51, representing a 30.88% reduction, which translates into fuel cost savings of 2,579.45 THB per month. Based on these results, the Branch and Bound Method was selected for implementation in a web-based application. The application features an intuitive user interface, product inventory management, and optimized daily delivery route recommendations for the case study store. Following development, the web application was deployed and tested in real-world operations. The results demonstrate that it effectively provides map-based route recommendations, ensuring ease of use and accessibility on standard mobile devices.
คณะเทคโนโลยีการเกษตร
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