A commercial architecture consists of a community mall and home offices. The project’s main concept concerns the lack of activities around the given site. The project tackles the main issues of underdevelopment by aiming to bring back the liveliness of the local people back by integrating work-life symbolism and natural spaces, resulting in an interesting design.
โปรเจคตามหลักสูตรออกแบบสถาปัตยกรรม 4 ชั้นปีที่ 3 เพื่อเปิดโอกาสให้นักศึกษาได้แสดงความรู้ ความสามารถ รวมถึงความคิดสร้างสรรค์ด้านการออกแบบ สําหรับการลงทุนเพื่อการพัฒนาที่ดิน ให้เป็น พื้นที่เชิงพาณิชย์พร้อมบ้านพักอาศัย ให้มีความพิเศษและน่าสนใจ ตามแนวคิด Concept Green & Digital
วิทยาลัยนวัตกรรมการผลิตขั้นสูง
A child manikin for Cardiopulmonary Resuscitation (CPR) training includes the trachea mechanism, neck mechanism, lung mechanism, heart pump mechanism, artificial skin, and sensor system. All components work together to function similar to a real child. It can be used to practice heart pumping and resuscitation. The manikin has been designed and verified by resuscitation experts. It has a system to evaluate the accuracy of the training and display the results on the computer for real-time monitoring.
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.
วิทยาเขตชุมพรเขตรอุดมศักดิ์
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