A sweet made from flour and added to give it a chewy texture similar to chewing gum.
เพื่อเป็นการฝึกฝนการทำธุรกิจโดยการเริ่มจากการวิเคราะห์และคัดเลือกวัตถุดิบที่เป็นทรัพยากรในพื้นที่และการทำธุรกิจ
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
This conceptual model, titled "DeHome", incorporates the principles of Deconstructivism in architectural design. It deconstructs the fundamental elements of a house—roof, columns, doors, windows, and bricks—separating them and reassembling them in a way that conveys fragmentation, contradiction, and movement. This design challenges the traditional concept of structural stability by enlarging key elements such as doors, windows, and columns, emphasizing distortion and the dynamic force of transformation. Beyond merely dismantling the physical structure of a house, this project reinterprets the very concept of "home" within the context of contemporary architecture.
คณะวิทยาศาสตร์
This research will begin with a review of literature and related studies to examine existing technologies and methods for hand gesture recognition and their applications in controlling electronic devices such as drones, robots, and gaming systems. Subsequently, a hand gesture recognition system will be designed and developed using machine learning and computer vision techniques, with a focus on creating an algorithm that operates quickly and accurately, making it suitable for real-time control. The developed system will be tested and refined using various simulated scenarios to evaluate its efficiency and accuracy in diverse environments. Additionally, a user-friendly interface will be developed to ensure accessibility for all user groups. The research will also incorporate qualitative studies to gather feedback from both novice users and experts, which will contribute to further system improvements, ensuring it effectively meets user needs. Ultimately, the findings of this research will lead to the development of a functional prototype for gesture-based control, which can be applied in industries and entertainment. This will contribute to advancements in innovation and new technologies in the future.
คณะวิทยาศาสตร์
This project presents the development of an automatic recycling machine for plastic bottles and cans, utilizing Machine Learning for packaging classification through image processing, integrated with smart sensor systems for quality inspection and operation control. The system connects to a Web Application for real-time monitoring and control. Once the packaging type is verified, the system automatically calculates the refund value and processes payment through e-wallet or issues cash vouchers. The system can be installed in public spaces to promote waste segregation at source, reduce contamination, and increase recycling efficiency. It also provides financial incentives to encourage public participation in waste management. This project demonstrates the potential of combining Machine Learning and smart sensor systems in developing accurate, convenient, and sustainable waste management solutions.