The Project Urban House is an initiative focused on developing and designing urban housing solutions that address the growing demand for city living. The project emphasizes efficient space utilization, sustainability, and designs that cater to modern urban lifestyles. Key considerations include the use of eco-friendly materials, the integration of green spaces, and the implementation of smart home technologies to enhance residents' quality of life.
1. พัฒนาทักษะด้านการออกแบบสถาปัตยกรรมภายในสำหรับที่อยู่อาศัยในเมือง 2. ส่งเสริมความคิดสร้างสรรค์และการแก้ปัญหาภายในพื้นที่จำกัด 3. ฝึกการทำงานแบบมืออาชีพและการนำเสนอโครงการ
คณะอุตสาหกรรมอาหาร
The "PRIVARY" product is an innovative herbal jelly beverage designed to support weight management and promote health through the benefits of four Thai herbs: roselle, safflower, chrysanthemum, and bitter melon. These herbs are rich in active compounds such as flavonoids, beta-carotene, and anthocyanins, which help reduce blood lipids, prevent inflammation, and exhibit antioxidant properties. The product emphasizes convenience and caters to health-conscious consumers using advanced production techniques like Inverse and External Gelation to create spheres encapsulating key bioactive compounds. Additionally, the product aligns with sustainability goals by enhancing the value of Thai herbs and supporting local communities.
คณะวิศวกรรมศาสตร์
Currently, lithium batteries are widely used in electronic devices and electric vehicles, making the estimation of their State of Health (SOH) crucial. Accurate SOH estimation helps extend battery lifespan, reduce maintenance costs, and prevent safety issues such as overheating or explosions. This project aims to study and analyze mathematical models of batteries and develop SOH estimation techniques using Neural Networks to enhance accuracy and evaluation speed. The experiment involved collecting charge and discharge data from three lithium battery cells under controlled temperature conditions while maintaining a constant current. The current, voltage, and time data were recorded and analyzed to determine the battery capacity for each cycle. These data were then used to train a Neural Network model. The results demonstrated an effective method for predicting battery health status. The outcomes of this project can contribute to the development of a Battery Management System (BMS) that improves battery efficiency and longevity. Additionally, it provides a foundation for applying artificial intelligence techniques in the energy sector effectively.
คณะวิทยาศาสตร์
Metallic nanoparticles embedded in cellulose nanocrystal (MNPs/CNC) films were prepared by solution casting for antimicrobial and fungus in edible peel fruit. MNPs/CNC was synthesized by ultrasonic waves. The as-synthesized was characterized by the chemical characteristics by the transmission electron microscope (TEM), X-ray photoelectron spectroscopy (XPS), X-ray diffraction analysis (XRD), Fourier transform infrared spectrometer (FT-IR), zeta potential analyzer, and UV-visible spectrophotometer. MNPs/CNC films had high potential in antimicrobial and fungus. Therefore, MNPs/CNC can be used to wrap edible peeled fruit to inhibit the growth of microorganisms, which can effectively extend the shelf life of fruits.