A high-pressure gas storage tank made from composite materials, including carbon fiber, resin, and plastic, is designed for storing compressed natural gas (CNG) or hydrogen. This type of tank is classified as a Type IV high-pressure vessel. In this research, it is designed to operate at a pressure of 250 bar for the transportation of compressed natural gas.
การบรรจุก๊าซที่ความดันสูงต้องใช้บรรจุภัณฑ์ที่มีความแข็งแรง การใช้ถังที่ผลิตจากโลหะถูกนำมาใช้ในช่วงแรกๆ แต่ปัญหาที่ตามมาคือน้ำหนักมากทำให้สิ้นเปลืองเชื้อเพลิงในกรณีที่นำไปติดตั้งบนยานพาหนะ จึงเกิดการพัฒนาถังความดันที่พัฒนาจากวัสดุประกอบขึ้นซึ่งจะช่วยลดน้ำหนักของบรรจุภัณฑ์และการกัดกร่อนเกิดขึ้นน้อย
คณะเทคโนโลยีการเกษตร
In the present day, interest in health and the consumption of chemical-free food has been steadily increasing, particularly in homegrown produce such as Phoenix oyster mushrooms (Pleurotus pulmonarius), which are highly nutritious and suitable for weight control. However, small-scale mushroom cultivation often faces challenges related to unsuitable environmental conditions, such as unstable temperature and humidity, which affect the growth and quality of the mushrooms. The development of an automatic temperature and humidity control system plays a crucial role in addressing these issues by utilizing sensor technology to monitor and adjust environmental conditions with precision. This helps enhance production efficiency, reduce human errors in manual control, and promote safe food production at the household level. Additionally, it helps lower production costs and supports the concept of sustainable living. The adoption of this technology is considered an important innovation in improving the quality of mushroom cultivation and increasing sustainability in food production.
วิทยาลัยอุตสาหกรรมการบินนานาชาติ
The capture of a target spacecraft by a chaser is an on-orbit docking operation that requires an accurate, reliable, and robust object recognition algorithm. Vision-based guided spacecraft relative motion during close-proximity maneuvers has been consecutively applied using dynamic modeling as a spacecraft on-orbit service system. This research constructs a vision-based pose estimation model that performs image processing via a deep convolutional neural network. The pose estimation model was constructed by repurposing a modified pretrained GoogLeNet model with the available Unreal Engine 4 rendered dataset of the Soyuz spacecraft. In the implementation, the convolutional neural network learns from the data samples to create correlations between the images and the spacecraft’s six degrees-of-freedom parameters. The experiment has compared an exponential-based loss function and a weighted Euclidean-based loss function. Using the weighted Euclidean-based loss function, the implemented pose estimation model achieved moderately high performance with a position accuracy of 92.53 percent and an error of 1.2 m. The in-attitude prediction accuracy can reach 87.93 percent, and the errors in the three Euler angles do not exceed 7.6 degrees. This research can contribute to spacecraft detection and tracking problems. Although the finished vision-based model is specific to the environment of synthetic dataset, the model could be trained further to address actual docking operations in the future.
คณะบริหารธุรกิจ
JALA is a brand that established a business around jasmine rice wax scented candles with the aim of addressing the stress people face in everyday life. The brand utilizes "Aromatherapy" to help relax the mind and alleviate stress. The scented candles made from jasmine rice wax are an innovative product, distinguished by their clean burn, safety for users and the environment, and high vitamin E content that nourishes the skin. They also retain a unique fragrance that provides true relaxation. JALA aims to offer products that blend traditional Thai elements with modern design, making their scented candles not only therapeutic but also a reflection of Thai culture and modern identity. The brand caters to health-conscious and environmentally aware consumers.