This analysis focuses on the essential components of flight plans when operating at low altitudes. The study explores the critical elements that pilots and flight operators must consider to guarantee the safety of passengers, crew, and aircraft while flying at low altitudes. By examining factors such as weather conditions, airspace restrictions, terrain considerations, and emergency procedures, this analysis aims to provide valuable insights into optimizing flight planning processes for low-altitude operations
แผนการบินเป็นเอกสารสิ่งพิมพ์ตามมาตรฐาน ICAO เพื่อให้นักบินหรือตัวแทนบันทึกรายละเอียดการบินตามรายการพิมพ์และรายละเอียดของแผนการบิน เป็นข้อมูลที่นักบินใช้ตลอดการบินตั้งแต่สนามบินต้นทางถึงสนามบินปลายทาง ผ่านสนามบิน และสนามบินรอง นอกจากนี้ รายละเอียดในแผนการบินยังมีประโยชน์ในการควบคุมการจราจรทางอากาศและปฏิบัติการค้นหาและช่วยเหลือเมื่ออากาศยานมีปัญหา ทีมค้นหาและกู้ภัยจะใช้รายละเอียดในแผนการบินเป็นข้อมูลในการค้นหา
คณะวิศวกรรมศาสตร์
The evaluation of mango yield and consumer behavior reflects an increasing awareness of product origins, with a growing demand for traceability to understand how the produce has been cultivated and managed. This study explores the relationship between mango characteristics and cultivation practices before harvest, using location identification to provide insights into these processes. To achieve this, a model was developed to detect and locate mangoes using 2D images via a Deep Learning approach. The study also investigates techniques to determine the real-world coordinates of mangoes from 2D images. The YOLOv8 model was employed for object detection, integrated with camera calibration and triangulation techniques to estimate the 3D positions of detected mangoes. Experiments involved 125 trials with randomized mango positions and camera placements at varying yaw and pitch angles. Parameters extracted from sequential images were compared to derive the actual 3D positions of the mangoes. The YOLOv8 model demonstrated high performance with prediction metrics of Precision (0.928), Recall (0.901), mAP50 (0.965), mAP50-95 (0.785), and F1-Score (0.914). These results indicate sufficient accuracy for predicting mango positions, with an average positional error of approximately 38 centimeters.
คณะวิศวกรรมศาสตร์
Design and Development of a Remote Battery Management System This research focuses on the design and development of a battery management system that enables remote monitoring and control, allowing users to customize battery cell properties as needed. The system is specifically designed for use with graphene battery cells and can be effectively applied to alternative energy systems for residential use.
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
This study explores the design, production, and installation of 3D-printed modular artificial reefs (3DMARs) at Koh Khai, Chumphon Province, Thailand, through a design thinking framework. Collaborating with SCG Co., Ltd. and the Department of Marine and Coastal Resources, the research establishes design criteria and installation methods, utilizing content analysis and qualitative research. Key principles such as modularity, flexibility, environmental sustainability, and usability are identified. The user-centered approach optimizes the 3DMARs for transport and deployment, enabling local community involvement and fostering sustainable practices. The modular design supports scalability, enhancing marine habitats and coral larval settlement. Furthermore, underwater monitoring techniques enable site-specific data collection, allowing for the generation of digital twin models. This research offers a practical framework for marine ecosystem restoration and empowers coastal communities in Thailand and beyond