This research aimed to develop the mixed tea from longan peels and seeds. Population studied were longan farmers who planted longan and preserved the longan product in Ampur Wang Nam Yen, Sa Kaeo Province. From the results, it was found that from By-product in the production of dehydrated longan, longan peels and seeds, which can be processed into ready-to-drink powdered tea. This not only helps reduce waste from the production process but also contributes to generating additional income from these by-products.
จากการได้เข้าไปศึกษาดูงานที่ ชุมชนเกษตรกรผู้ปลูกลำไย อำเภอวังน้ำเย็น จังหวัดสระแก้ว ได้พบปัญหาคือราคาลำไยตกต่ำ ขายแล้วขาดทุน ส่งผลให้เกษตรกรได้แก้ปัญหา ด้วยการนำลำไยไปทำลำไยอบแห้ง ซึ่งจากกระบวนการผลิตลำไยอบแห้ง จะมีผลิตภัณฑ์ผลพลอยได้คือเปลือกและเมล็ดลำไย ซึ่งสามารถนำมาแปรรูปเป็นชาผงสำเร็จรูปพร้อมดื่มได้
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
This conceptual model, inspired by the Rose Window in Gothic architecture, embodies intricate geometric patterns that reflect divine harmony and balance. Its symmetrical structure and the interplay of light passing through stained glass create a sense of movement, enhancing the sacred and mystical atmosphere. The composition evokes a celestial presence, like a window to heaven.
คณะวิทยาศาสตร์
This special problem aims to compare the performance of machine learning methods in time series forecasting using lagged time periods as independent variables. The lagged periods are categorized into three groups: lagged by 10 units, lagged by 15 units, and lagged by 20 units. The study employs four machine learning methods: Decision Tree (DT), Random Forest (RF), K-Nearest Neighbors (KNN), and Support Vector Machine (SVM). The time series data simulated as independent variables diverse including characteristics: Random Walk data, Trending data, and Non-Linear data, with sample sizes of 100, 300, 500, and 700. The research methodology involves splitting the data into 90% for training and 10% for testing. Simulations and analysis are performed using the R programming language, with 1,000 iterations conducted. The results are evaluated based on the average mean squared error (AMSE) and the average mean absolute percentage error (AMAPE) are calculated to identify the best performing method. The research findings revealed that for Random Walk data, the best performing methods are Random Forest and Support Vector Machine. For Trend data, the best performing methods are Random Forest. For Non-Linear data, the best performing methods are Support Vector Machine. When tested with real-world data, the results show that for the Euro-to-Thai Baht exchange rate, the best methods are Random Forest and Support Vector Machine. For the S&P 500 Index in USD, the best performing methods are Random Forest. For the Bank of America Corp Index in USD, the best performing methods are Support Vector Machine.
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
This artwork was created based on the universal concepts of global warming and post-apocalyptic world, which has caused disturbances and chaos in ecosystems, leading to the extinction of many living beings on Earth due to human actions. Repairing and restoring this world may therefore be a false hope, connected to my personal experience of losing loved ones and the sorrow from setting high hope, through the artistic process using Animation Art and Sound Art.