The Age-Defying Dates Palm Serum is an innovative skincare product formulated with date palm extract, known for its high antioxidant content that helps reduce wrinkles and retain skin moisture. Combined with hyaluronic acid, the serum enhances hydration and skin elasticity. This research explores factors influencing consumers’ purchasing intentions, revealing a preference for anti-aging properties, product safety, and natural ingredients. This serum aims to provide a novel option in the skincare market by utilizing high-quality natural extracts.
มลภาวะและสภาวะแวดล้อมที่รุนแรงส่งผลให้ผิวเสื่อมสภาพและเกิดริ้วรอยก่อนวัย อินทผลัมเป็นพืชที่มีสารต้านอนุมูลอิสระสูง ช่วยชะลอความเสื่อมของเซลล์ผิว การนำสารสกัดจากอินทผลัมมาพัฒนาเป็นผลิตภัณฑ์เซรั่มจึงเป็นแนวทางหนึ่งในการสร้างมูลค่าเพิ่มให้กับผลผลิตทางการเกษตร รวมถึงส่งเสริมผลิตภัณฑ์จากธรรมชาติให้ได้รับการยอมรับในตลาด
วิทยาเขตชุมพรเขตรอุดมศักดิ์
Durian is an important economic crop in Thailand that is affected by foliar diseases such as rust, leaf blight, and leaf spot. These diseases reduce the quality of the yield and increase management costs. This research focuses on developing AI software for screening durian leaf diseases by applying deep learning technology to classify different types of leaf lesions.
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.
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
Toys Design from Scrap Wood Waste by Pallet Maker Group Co., Ltd.