The forest firefighting suit consists of the following components and uses: The forest firefighting suit is designed and developed to be suitable for the behavior of the officers and the conditions of the work area, consisting of a shirt and pants. The material used in the sewing of the suit is aramid fabric, which has the property of being able to prevent the spread of fire, to prevent the officers from burning while performing their duties in the event that the forest fire spreads close to them, which is different from the current suits that cannot prevent fires. The shirt is designed with a mesh on the side of the body to release internal heat so that air can circulate well. The sleeves at the elbows have a support point to prevent contact with the ground or obstacles. The collar has a slot for a portable fan and a fan air circulation channel on the back, which can be turned on while performing forest firefighting duties, helping to prevent the body temperature from getting too hot, reducing the risk of heatstroke. When the fan battery runs out, it can be removed for charging and put back in when needed. The pants are designed with mesh on the inside or in blind spots to release internal heat so that air can circulate well. The pants at the knees have a support point to prevent contact with the ground or obstacles. The forest firefighting suit, consisting of a shirt and pants, has been designed and developed to be able to be produced domestically, reducing imports from abroad
ปัญหาไฟป่าที่ทวีความรุนแรงขึ้นเรื่อย ๆ ส่งผลกระทบในหลายๆด้านโดยเฉพาะผู้ที่พักอาศัยบริเวณใกล้ไฟป่าต้องเผชิญกับปัญหาด้านสุขภาพที่เกิดจากฝุ่น PM2.5 ประกอบกับทางภาครัฐยังขาดแคลนบุคลากรเจ้าหน้าที่ ที่มีความชำนาญในการดับไฟป่า รวมถึงยังขาดชุดดับไฟป่าที่เป็นชุดสามารถกันไฟได้เหมาะสมต่อการดับไฟ เนื่องจากในปัจจุบันชุดที่เจ้าหน้าที่อุทยาน และเจ้าหน้าที่ศูนย์ดับไฟป่า สวมใส่ในการปฏิบัติหน้าที่นั้นเป็นชุดลายพลาง กางเกงกับเสื้อแบบทั่วไป ไม่สามารถปกป้อง หรือกันไฟเมื่อไฟมาถึงระยะประชิดตัวได้ในระดับที่เหมาะสม ซึ่งสาเหตุนี้ส่งผลให้เจ้าหน้าที่บางรายได้รับอันตรายถึงขั้นไฟคลอกได้ ผู้วิจัยจึงได้เล็งเห็นถึงความสำคัญในการออกแบบและพัฒนาชุดดับไฟป่า เพื่อให้เจ้าหน้าที่อุทยาน และเจ้าหน้าที่ศูนย์ดับไฟป่า สามารถสวมใส่ปฏิบัติหน้าที่ได้อย่างปลอดภัย ช่วยลดอุปสรรคในการดับไฟป่าและปฏิบัติหน้าที่ได้อย่างเต็มประสิทธิภาพมากยิ่งขึ้น
คณะเทคโนโลยีการเกษตร
The research aims to develop chili Thai commercial varieties for resistance to anthracnose and Pepper yellow leaf curl virus disease. The varieties allowing farmer to reduce the use of chemical pesticides for disease and pest control, also increases productivity and lowers production costs for farmers. The development new varieties are under studied of undergraduate, master's, and doctoral students by using conventional and molecular plant breeding. The new chili varieties were released to farmer and commercial companies for development for Thai commercial seed industry.
คณะวิศวกรรมศาสตร์
The Thai Sign Language Generation System aims to create a comprehensive 3D modeling and animation platform that translates Thai sentences into dynamic and accurate representations of Thai Sign Language (TSL) gestures. This project enhances communication for the Thai deaf community by leveraging a landmark-based approach using a Vector Quantized Variational Autoencoder (VQVAE) and a Large Language Model (LLM) for sign language generation. The system first trains a VQVAE encoder using landmark data extracted from sign videos, allowing it to learn compact latent representations of TSL gestures. These encoded representations are then used to generate additional landmark-based sign sequences, effectively expanding the training dataset using the BigSign ThaiPBS dataset. Once the dataset is augmented, an LLM is trained to output accurate landmark sequences from Thai text inputs, which are then used to animate a 3D model in Blender, ensuring fluid and natural TSL gestures. The project is implemented using Python, incorporating MediaPipe for landmark extraction, OpenCV for real-time image processing, and Blender’s Python API for 3D animation. By integrating AI, VQVAE-based encoding, and LLM-driven landmark generation, this system aspires to bridge the communication gap between written Thai text and expressive TSL gestures, providing the Thai deaf community with an interactive, real-time sign language animation platform.
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.