This experiment aimed to study the suitable types of polymers for coating with chlorophyll extract and the quality of cucumber seeds after coating. The experiment was planned using a Completely Randomized Design (CRD) with four replications, consisting of five methods involving seeds coated with different types of polymers: Polyvinylpyrrolidone, Sodium Alginate, Carboxy Methyl Cellulose, and Hydroxypropyl Methylcellulose, each polymer being coated alongside chlorophyll, with uncoated seeds serving as the control method. The coating substance was prepared by extracting chlorophyll from mango leaves, then mixed with each type of polymer at a concentration of 1%, using an 8% concentration of chlorophyll extract. The properties of each coating method, such as pH and viscosity of the coating substance, were examined before coating the cucumber seeds with a rotary disk coater model RRC150 at a coating rate of 1,100 milliliters per 1 kilogram of seeds. Subsequently, the seeds were dried to reach the initial moisture level using a hot air blower, and seed quality was assessed in various aspects, including seed moisture, germination rate under laboratory conditions, germination index, and seed fluorescence under a portable ultraviolet light illuminator, as well as light emission spectrum analysis using a Spectrophotometer. The experiment found that each type of polymer could be used to form a film together with chlorophyll, which had appropriate pH and viscosity for the coating without affecting seed quality and showed fluorescence on the seed surface both under portable ultraviolet light and spectral emission analysis with a Spectrophotometer. Using HPMC as the film-forming agent with chlorophyll was the most suitable method, enhancing seed fluorescence efficiency.
สารเรืองแสงที่นิยมใช้เคลือบเมล็ดพันธุ์ในปัจจุบันมีหลายชนิด เช่น Rhodamine B, Curcumin, Auramine O แต่สารเหล่านี้บางชนิดหากใช้ไปเป็นเวลานานอาจเป็นพิษต่อร่างกายมนุษย์ หากสะสมในร่างกายอาจก่อให้เกิด oxidative stress ซึ่งกระตุ้นให้เซลล์เกิดการเสียหาย เพิ่มความเสี่ยงของโรคบางอย่างได้ ในงานวิจัยนี้จึงเลือกใช้สารสกัดจากธรรมชาติมาใช้เคลือบเมล็ดพันธุ์ คือ สารสกัดคลอโรฟิลล์ มีข้อดี คือ หาได้ง่าย มีวิธีการสกัดที่ไม่ซับซ้อน แต่ข้อจำกัดของสารสกัดคลอโรฟิลล์คือมีความสามารถในการเคลือบร่วมกับพอลิเมอร์ได้บางชนิด อาจทำให้ประสิทธิการเรืองแสงมีคุณภาพลดลง ดังนั้นการวิจัยนี้จึงมีวัตถุประสงค์เพื่อหาชนิดของพอลิเมอร์ที่เหมาะสมในการนำมาเคลือบร่วมกับสารสกัดคลอโรฟิลล์แล้วไม่ส่งผลต่อประสิทธิภาพการเรืองแสงและคุณภาพของเมล็ดพันธุ์
คณะวิศวกรรมศาสตร์
-
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
The thesis artwork titled “The Red Mist” presents a narrative adapted from a short story of the same name by Assistant Professor Chatnarong Wisutkul in 2003. The story is set in a future world where people's greed and selfishness have led to a war, forcing them to rely on "breathing machines" to survive in the "red toxic mist." Phakin, a 15-year-old boy, embarks on a journey with a group of refugees. As they pass through abandoned cities, they encounter a boy without a breathing machine who has recently lost his father. Phakin decides to help him, despite objections from others. The boy tries to end his life by shutting off his breathing machine, and when Phakin intervenes to save him, he collapses from inhaling the toxic air. Witnessing Phakin's selfless act, the others are moved and join forces to save both of them. Phakin demonstrates that in difficult times, humans must cooperate and help each other rather than being divided and selfish.