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
คณะวิศวกรรมศาสตร์
The Diabetes Meal Management Application is a digital health tool designed to empower Type 2 diabetic patients in managing their diet and blood sugar levels more effectively. With features like personalized meal recommendations, nutrient tracking, and seamless integration with wearable blood glucose monitors via Blood sugar measuring device (CGM), the application enables users to monitor glucose fluctuations in real time and adjust dietary choices accordingly. Built with the Flutter framework and supported by a backend of Express.js and MongoDB, the application prioritizes a user-friendly interface, ensuring easy navigation and encouraging consistent engagement with meal planning and health tracking. Preliminary user trials show that the application contributes to more stable blood sugar levels and improved adherence to dietary recommendations, helping users reduce health risks associated with diabetes complications. By offering a proactive approach to diabetes management, the application reduces the need for frequent clinical interventions, thus potentially lowering medical costs over time. This project highlights the promising role of digital health solutions in supporting personalized diabetes care, emphasizing the potential for scalable, user-centered interventions that foster long-term health improvements for diabetic patients.
คณะเทคโนโลยีสารสนเทศ
This research presents a deep learning method for generating automatic captions from the segmentation of car part damage. It analyzes car images using a Unified Framework to accurately and quickly identify and describe the damage. The development is based on the research "GRiT: A Generative Region-to-text Transformer for Object Understanding," which has been adapted for car image analysis. The improvement aims to make the model generate precise descriptions for different areas of the car, from damaged parts to identifying various components. The researchers focuses on developing deep learning techniques for automatic caption generation and damage segmentation in car damage analysis. The aim is to enable precise identification and description of damages on vehicles, there by increasing speed and reducing the work load of experts in damage assessment. Traditionally, damage assessment relies solely on expert evaluations, which are costly and time-consuming. To address this issue, we propose utilizing data generation for training, automatic caption creation, and damage segmentation using an integrated framework. The researchers created a new dataset from CarDD, which is specifically designed for cardamage detection. This dataset includes labeled damages on vehicles, and the researchers have used it to feed into models for segmenting car parts and accurately labeling each part and damage category. Preliminary results from the model demonstrate its capability in automatic caption generation and damage segmentation for car damage analysis to be satisfactory. With these results, the model serves as an essential foundation for future development. This advancement aims not only to enhance performance in damage segmentation and caption generation but also to improve the model’s adaptability to a diversity of damages occurring on various surfaces and parts of vehicles. This will allow the system to be applied more broadly to different vehicle types and conditions of damage inthe future
คณะอุตสาหกรรมอาหาร
Zero-waste management is crucial for sustainable food systems, promoting the use of agricultural by-products like rice bran. Rich in bioactive polyphenols with antioxidant and antidiabetic properties, rice bran can enhance the nutritional value of food. Polyphenols can slow starch digestion by forming complexes with starch, making them useful for creating low-glycemic foods. While ultrasonication and freeze-thaw treatments have been beneficial individually, their combined effects on starch-polyphenol complexation remain understudied. This study aimed to evaluate the impact of combining these treatments on the interaction between rice starch and red rice bran polyphenols. The dual treatment increased the complexing index, altered functional properties, and affected granule morphology. Structural analysis indicated non-covalent interactions forming non-V-type complexes. Additionally, starch digestibility was reduced, lowering the estimated glycemic index (eGI) compared to the control. These findings suggest a sustainable and green approach to starch modification, with potential for developing functional food products and advancing zero-waste processing.