Freshwater scarcity is a global crisis due to limited accessible freshwater resources and rising demand. Seawater desalination is a key solution but is energy-intensive and reliant on fossil fuels, leading to high costs and environmental impacts. This study aims to investigate the use of solar thermal energy from an evacuated tube collector for freshwater production via evaporation and condensation. The focus is on analyzing system efficiency by comparing freshwater yield with energy input. The findings may contribute to the development of sustainable desalination technologies suitable for freshwater-scarce regions.
ปัจจุบันโลกปกคลุมด้วยน้ำถึง 70% ของพื้นที่ทั้งหมด แต่มีทรัพยากรน้ำที่เป็นน้ำจืด (fresh water) ที่สามารถใช้อุปโภค บริโภคได้เพียง 3% ประกอบกับจำนวนประชากรที่เพิ่มสูงขึ้นอย่างต่อเนื่อง จึงเกิดวิกฤตการขาดแคลนน้ำ การแยกเกลือออกจากน้ำทะเลเป็นแนวทางสำคัญในการแก้ไขปัญหานี้ โดยงานวิจัยของเรามุ่งพัฒนาเทคโนโลยีแยกเกลือออกจากน้ำทะเลโดยใช้พลังงานแสงอาทิตย์ ผ่านระบบท่อสุญญากาศ (ETSC) เพื่อลดต้นทุน พึ่งพาพลังงานสะอาด และเพิ่มประสิทธิภาพการผลิตน้ำจืด โดยเฉพาะในพื้นที่แห้งแล้งที่ขาดแคลนน้ำ
คณะอุตสาหกรรมอาหาร
This study aims to investigate the co-encapsulation technique of vitamin C and coenzyme Q10 within liposomes to enhance their stability and encapsulation efficiency and evaluate their antioxidant activity and release behavior under simulated gastrointestinal conditions. Liposomes were prepared using the High-Speed Homogenization Method, and their characteristics, including particle size, zeta potential, encapsulation efficiency, and antioxidant activity, were analyzed using DPPH, ABTS, and FRAP assays. The results demonstrated that co-encapsulation significantly improved the stability of vitamin C and coenzyme Q10 compared to single encapsulation. The liposomes exhibited high encapsulation efficiency and maintained strong antioxidant activity. The release profile under simulated gastrointestinal conditions also indicated a sustained and controlled release. These findings highlight the potential of the co-encapsulation technique in enhancing the efficacy of functional bioactive compounds, making it applicable to the food and nutraceutical industries.
คณะวิศวกรรมศาสตร์
This capstone project develops an AI-powered chatbot to address cybersecurity vulnerabilities, leveraging the Common Vulnerabilities and Exposures (CVE) system and the Common Vulnerability Scoring System (CVSS). The chatbot will provide accessible and informative support for understanding and mitigating these vulnerabilities, potentially leading to significant improvements in cybersecurity practices.
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.