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
คณะเทคโนโลยีการเกษตร
This research aims to evaluate the efficiency of nano-type oxygen diffusers at different pump power levels in sea bass nursery ponds. The study examines how varying power levels affect dissolved oxygen distribution in the water and their impact on the health, growth, and survival rates of sea bass. The findings indicate that pump power levels influence dissolved oxygen concentration, with the optimal power level improving oxygen distribution in the pond. This enhancement leads to higher survival and growth rates for sea bass. The results provide valuable insights for selecting appropriate oxygen diffusers and pump power levels in fish nursery pond systems. The experiment consisted of two conditions: 1. Without fish – This condition assessed the oxygenation capacity, oxygen transfer coefficient, oxygen transfer rate, and oxygen transfer efficiency of pumps at three different power levels. 2. With fish – This condition evaluated whether the oxygen supplied by pumps at three power levels was sufficient, based on the growth rate and survival rate of the fish in the pond. Blood counts were conducted to assess the immune response. The collected data were statistically analyzed using the RCBD method for the condition without fish and the CRD method for the condition with fish, employing SPSS software.
คณะวิศวกรรมศาสตร์
This thesis presents the application of deep learning for object classification. The selected deep learning architectures studied include Convolutional Neural Networks (CNN) and ResNet18. It covers data preparation, feature extraction, parameter tuning for accuracy comparison, and performance evaluation of the selected models. The aim is to propose an efficient model for use in devices that assist visually impaired individuals in classifying indoor objects and providing sound alerts.
คณะอุตสาหกรรมอาหาร
Spent coffee grounds (SCGs) are waste from coffee drink process, which are rich of a varieties of nutrients. This research applied SCGs as ingredient in cracker. The optimized formula and process are studied as well as addition of different levels of SCGs were studied. It was found that addition of SCGs in cracker had hedonic score in high level from panels, especially panels who drink coffee. Moreover, it was observed that SCGs could increase nutrients especially carbohydrate and fiber to the product.