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.
ข้าพเจ้าต้องการแสดงถึงปัญหาและสิ่งที่มนุษย์ได้ทิ้งเศษซากไว้ให้ผู้อื่นรับผลกระทบแทนตน เพื่อให้ตระหนักรู้ถึงความสำคัญในการเปลี่ยนแปลงการดำรงชีวิต เพื่อการดำรงอยู่ของสิ่งมีชีวิตทั่วโลก และข้าพเจ้าได้เชื่อมโยงประสบการณ์ส่วนตัวลงไปเพื่อเป็นการแสดงความรู้สึกร่วมซึ่งล้วนเป็นความทุกข์ออกไปให้ผู้อื่นได้รับทราบไม่มากก็น้อยเพื่อแบ่งเบาความทุกข์นี้ไปจากข้าพเจ้า
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
When it comes to the general perception of death, it is often seen as something negative or inauspicious. However, the end or death of someone can sometimes be the beginning of change, influencing thoughts, lifestyles, and attitudes in a positive way for those around them. For students aged 13-18, accessing and understanding this topic remains a challenge. Most available information is often presented in complex forms that are difficult for young people to grasp. Moreover, teaching materials in schools often lack creativity and engagement, leading to a decline in students’ interest in this subject. To address this issue, a website has been designed as an accessible and creative resource. It aims to deepen young people's understanding of the impact of actions and the death of individuals on the world they live in, while inspiring them to become part of creating positive change for the future.
คณะวิทยาศาสตร์
Developing a Smart Farming Simulation Utilizing LoRa Communication and Presenting Knowledge on LoRa Communication System Components
คณะแพทยศาสตร์
This study explores the application of deep convolutional neural networks (CNNs) for accurate pill identification, addressing the limitations of traditional human-based methods. Using a dataset of 1,250 images across 10 household remedy drugs, various CNN architectures, including YOLO models, were tested under different conditions. Results showed that natural lighting was optimal for imprinted pills, while a lightbox improved detection for plain pills. The YOLOv5-tiny model demonstrated the best detection accuracy, and efficientNet_b0 achieved the highest classification performance. While the model showed strong results, its generalization is limited by sample size and drug variability. Nonetheless, this approach holds promise for enhancing medication safety and reducing errors in outpatient care.