The purpose of this invention is to develop a forest fire prevention agent that has the ability to prevent long-term forest fires, not only to suppress forest fires or prevent forest fires from spreading widely, but to prevent them from starting to catch fire from the beginning. It can prevent forest fires comprehensively and can be prevented for a long time during the peak forest fire period or the dry season, which is about 3-4 months. There are no residues or minimal residues without causing harm to the surrounding environment under the specified standards. Emphasis is placed on the use of raw materials, equipment, and chemicals that can be easily found in Thailand. This includes using the value of production costs as low as possible. This makes it suitable for use in large quantities for spraying and protecting forest areas in forest areas that are prone to fire. Estimated average for pollution caused by forest fires include particulate matter (PM), including PM2.5, PM10, carbon monoxide (CO), carbon dioxide, carbon dioxide, and carbon dioxide, Nitrogendioxide, VOC etc.
ป่าไม้เป็นทรัพยากรธรรมชาติที่มีคุณค่าต่อมนุษย์มากมาย ป่าไม้เป็นแหล่งปัจจัยพื้นฐานสี่ประการที่ทำให้มนุษย์สามารถดำรงชีวิตอยู่ได้ นอกจากนี้ป่าไม้ยังเป็นที่อยู่ของสิ่งมีชีวิตต่างๆรวมถึงสัตว์ป่าและพืชพรรณนานาชนิด ปัญหาไฟป่าเป็นอีกปัจจัยที่ส่งผลให้ทรัพยากรป่าไม้เสื่อมโทรมลงอย่างมาก ส่งผลให้ป่าไม้ไม่สามารถฟื้นตัวได้ทันตามวัฏจักรธรรมชาติ ปัจจุบันประเทศไทยได้สูญเสียพื้นที่ป่าไปเป็นจำนวนมากกว่า 1000000 ไร่ในสิบปีหลังสุด และผลกระทบจากไฟป่าทำให้เกิดปัญหาหมอกควันกระจายท้่วไปในบริเวณภาคเหนือ ภาคกลาง และตะวันออกเฉียงเหนือของประเทศ ทำให้ประชาชนจำนวนมากประสบปัญหาโรคระบบทางเดินหายใจ นวัตกรรมนี้จึงถูกสร้างขึ้นเพื่อต้องการลดปัญหาไฟป่าและปกป้องคลุมครองพื้นที่ป่าของประเทศ
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.
คณะเทคโนโลยีสารสนเทศ
In the era where information technology plays a significant role in various fields, the use of website to support education has become essential. This case study focuses on the development of a website for the Object Oriented Programming (OOP) course at King Mongkut's Institute of Technology Ladkrabang (KMITL) to facilitate instructors and teaching assistants in grading, assessing student work, and tracking student progress. The developed system helps reduce grading errors, ensures accurate and timely assessments, and enables efficient monitoring of students' academic performance. Additionally, the platform allows students to schedule project submissions and track their grades, while providing statistical data on student performance. This development aims to modernize and enhance the quality of teaching and learning.
วิทยาเขตชุมพรเขตรอุดมศักดิ์
This project aims to design and develop a propulsion system for agricultural equipment using RFID technology and evaluate its movement performance on different surfaces, including concrete and grass. The experiment focuses on examining the tag detection range under transmission power levels of 20 dBm, 23 dBm, and 26 dBm, as well as the impact of antenna angles on detection efficiency. Additionally, the system was tested in three movement scenarios: straight path, left turn, and right turn, at distances of 2 meters, 4 meters, and 6 meters. The results indicate that the system achieved the highest average speed of 0.4736 m/s and an average turning angle of 91.6° when moving in a straight path on a concrete surface at a distance of 4 meters. On a grass surface at the same distance, the average speed was 0.4483 m/s, with an average turning angle of 91.1°. For left and right turns, the movement on the concrete surface generally exhibited a higher average speed than on grass, particularly at a distance of 4 meters, where differences in turning angles were observed. This study provides insights into the factors affecting the movement of agricultural mowing equipment and serves as a foundation for enhancing the efficiency of propulsion systems in future developments.