The design and development of an electric locomotive for the TRRN Railway Challenge 2025 aims to enhance learning potential and apply various theories in practical settings. The focus is on developing the locomotive to pass various tests, including acceleration, automatic braking system, noise, vibration, energy consumption, and durability throughout the competition. Additionally, the project helps improve skills in writing engineering design reports, which enables students to develop their analytical and discussion abilities in order to successfully complete each test according to the competition rules.
การแข่งขัน TRRN Railway Challenge เป็นเวทีที่เปิดโอกาสให้ทีมนักศึกษาและวิศวกรรุ่นใหม่จากทั่วโลกได้ออกแบบและพัฒนาหัวรถจักรไฟฟ้าขนาดเล็กเพื่อนำไปแข่งขันภายใต้เงื่อนไขและข้อกำหนดที่กำหนดไว้ การแข่งขันนี้จัดขึ้นเพื่อส่งเสริมการเรียนรู้เชิงปฏิบัติการและการพัฒนาทักษะทางวิศวกรรมระบบราง ซึ่งเป็นอุตสาหกรรมที่มีบทบาทสำคัญต่อการขนส่งและพัฒนาโครงสร้างพื้นฐานของประเทศต่างๆ 1. พัฒนาศักยภาพนักศึกษาและวิศวกรรุ่นใหม่ ส่งเสริมการเรียนรู้และการประยุกต์ใช้ความรู้ด้านวิศวกรรมระบบรางในสถานการณ์จริง สร้างโอกาสให้ผู้เข้าร่วมฝึกฝนการทำงานเป็นทีมและการแก้ปัญหาอย่างเป็นระบบ ยกระดับมาตรฐานเทคโนโลยีระบบราง 2. ช่วยให้เกิดนวัตกรรมใหม่ในการออกแบบและพัฒนาหัวรถจักรไฟฟ้า กระตุ้นให้เกิดการพัฒนาเทคโนโลยีที่มีประสิทธิภาพสูงขึ้น เช่น ระบบควบคุมอัตโนมัติและการใช้พลังงานอย่างคุ้มค่า 3. เสริมสร้างความสามารถในการแข่งขันในระดับสากล เปิดโอกาสให้นักศึกษาและวิศวกรได้แสดงศักยภาพในเวทีระดับโลก เพิ่มขีดความสามารถของประเทศในการพัฒนาอุตสาหกรรมระบบรางและเทคโนโลยีที่เกี่ยวข้อง 4. เชื่อมโยงความรู้ทางทฤษฎีกับการปฏิบัติจริง ผู้เข้าร่วมจะได้ฝึกฝนทักษะการออกแบบ การวิเคราะห์ และการทดสอบหัวรถจักร ช่วยให้เกิดความเข้าใจเชิงลึกเกี่ยวกับปัจจัยที่ส่งผลต่อสมรรถนะของหัวรถจักร เช่น อัตราเร่ง ระบบเบรก เสียงรบกวน และความทนทาน
คณะเทคโนโลยีการเกษตร
Threadfin breams is an economically important fish that can be found in fisheries in both the Gulf of Thailand and Andaman Sea and is cheap. In addition, the consumption of raw fish as sashimi is increasingly popular in Thailand. Therefore, it is necessary to promote its consumption to increase its value. This study investigated the preservation of threadfin breams (N. furcosus) for raw or sashimi consumption. The preservation of threadfin breams consisted of Ikejime (K) and cold seawater (S) methods, and the preservation of the fish by Gutting (G) and whole (W) and storing for 3 days on ice (I) or in a refrigerator (F). The freshness quality of threadfin breams was evaluated by sensory, physicochemical (TVB-N, TMA-N and pH), freshness index (Ki-value) and microbiological methods. It was found that after being stored for 3 days, the KGF group of threadfin breams had the highest overall sensory score, which was 8.36±0.80 points, and the KWI, SWI and SWF groups of threadfin breams had the lowest overall sensory scores, which were 8.13±0.77, 8.13±0.77 and 8.13±0.81 points, respectively. And the overall sensory scores of all experimental groups of fish increased significantly (p<0.05). The TVB-N value of threadfin breams in KGF group had the lowest TVB-N value, which was 1.37±0.93 mg nitrogen/100 g sample. The threadfin breams in SGI group had the highest TVB-N value, which was 2.36±1.15 mg nitrogen/100 g sample. The TVB-N of fish in all experimental groups increased significantly (p<0.05). The TMA-N value of threadfin breams in KGF group had the lowest TMA-N value, which was 1.56±0.88 mg nitrogen/100 g sample. The threadfin breams in SWF group had the highest TMA-N value, which was 2.17±1.22 mg nitrogen/100 g sample. The TMA-N of fish in all experimental groups increased significantly (p<0.05). The pH value of threadfin breams in KGF group had the lowest pH value, which was 6.40±0.12. The threadfin breams in SWF group had the highest pH value, which was 6.78±0.25. The pH of fish in all experimental groups increased significantly (p<0.05). Ki value The threadfin breams in KGF group had the lowest Ki value, which was 9.05±0.73%. The threadfin breams in KWI group had the highest Ki value, which was 12.88±4.19%. The Ki value of all experimental groups of fish increased without statistical significance (p>0.05). In terms of freshness quality in microbiology, it was found that in all experimental groups, Salmonella spp., S. aureus, B. cereus, C. perfringens and E. coli were found in all experimental groups of threadfin breams. All types of microorganisms in all groups of threadfin breams increased with statistical significance (p<0.05). When compared with the freshness quality criteria in terms of sensory, chemical, physical, freshness index and microbiology, it was found that all groups of threadfin breams were very fresh and suitable for raw consumption during the preservation and storage for 3 days. After 3 days of storage, the threadfin breams should be consumed cooked because the freshness quality of the fish is not suitable for raw consumption due to the increase in various parameters. The increase in various parameters is due to the deterioration of the fish and the activities of microorganisms. Therefore, threadfin breams is suitable to promote raw consumption within 3 days of storage. In addition, fish preservation, especially by Ikejime method, then cutting open the belly and storing in the refrigerator, can help improve the freshness of the fish. The results of this study can be used to develop techniques for preserving fish after capture for fishermen and can promote the increase in the value of threadfin breams in the future.
คณะเทคโนโลยีสารสนเทศ
This report is part of applying the knowledge gained from studying machine learning models and methods for developing a predictive model to identify customers likely to cancel their credit card services with a bank. The project was carried out during an internship at a financial institution, where the creator developed a model to predict customers likely to churn from their credit card services using real customer data through the organization's system. The focus was on building a model that can accurately predict customer churn by selecting features that are appropriate for the prediction model and the unique characteristics of the credit card industry data to ensure the highest possible accuracy and efficiency. This report also covers the integration of the model into the development of a website, which allows related departments to conveniently use the prediction model. Users can upload data for prediction and receive model results instantly. In addition, a dashboard has been created to present insights from the model's predictions, such as identifying high-risk customers likely to cancel services, as well as other important analytical information for strategic decision-making. This will help support more efficient marketing planning and customer retention efforts within the organization.
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.