"Niyom Thai" represents health-centric footwear adorned with traditional Thai patterns, embodying an innovative approach to sustainable development tailored to the current needs of local communities. These shoes utilize natural materials to mitigate fatigue and integrate safety technologies, including location tracking via a mobile application and heart rate monitoring. This addresses the aspects of convenience and well-being in both daily life and travel
เนื่องจากปัจจัยผู้คนให้ความสนใจเรื่องสุขภาพมากขึ้นเเละรองเท้านับเป็นอีกหนึ่งเทรนด์สุขภาพที่กำลังได้รับความสนใจในยุคนี้ อีกทั้งผ้าไทยจัดเป็นศิลปะ ที่มีเอกลักษณ์เเละความสวยงาม คณะผู้จัดทำจึงมีเเนวคิดที่จะออกแบบลวดลายไทยให้เข้ากับยุคสมัยเเต่ยังคงความเป็นเป็นไทยและนำเทคโนโลยีมาผสมผสานเข้าด้วยกันให้เกิดนวัตกรรมรองเท้าเพื่อสุขภาพลายไทย
วิทยาลัยการจัดการนวัตกรรมและอุตสาหกรรม
This research aims to study the waste management process of horse manure, the production process of organic fertilizer from horse waste, and opinions on the use of innovative organic fertilizer from horse manure. A mixed-method approach, combining qualitative and quantitative research, is employed. The organic fertilizer is produced from horse manure, which is a waste that incurs disposal costs. Through the fermentation process, it is transformed into an environmentally friendly fertilizer containing essential nutrients beneficial to plants. According to the laboratory analysis of the organic fertilizer conducted by the Soil Science Laboratory, Faculty of Agricultural Technology, King Mongkut's Institute of Technology Ladkrabang, it was found that organic fertilizer from horse manure contains essential nutrients for plant growth, including macronutrients, secondary nutrients, and micronutrients. This reflects the potential of horse waste management, the production process of organic fertilizer from horse manure, the efficiency of the organic fertilizer, and strategies for adding value to expand its commercialization.
วิทยาลัยนวัตกรรมการผลิตขั้นสูง
The offline evaluation system for Thai-language large language models (LLMs) is designed to enable experts to efficiently test and assess various LLMs without relying on external services. This enhances the flexibility in selecting LLMs that best suit organizational needs or expert systems (ES). The system operates on personal computers, ensuring data security by eliminating concerns about external data storage. Additionally, it supports model testing and development using Retrieval-Augmented Generation (RAG), allowing access to domain-specific knowledge for accurate, energy-efficient processing. This ensures that the models can perform optimally and effectively meet the demands of organizations and expert systems.
คณะวิศวกรรมศาสตร์
This project has been developed to address medical challenges related to the process of counting and classifying blood cells from samples, a task that requires both time and high precision. To reduce the workload of medical personnel, the developers have created a platform and an artificial intelligence (AI) system capable of automatically classifying and counting cells from sample images. This system is designed to assist medical laboratory technicians by enabling them to work more efficiently and accurately, reducing the time required for analysis. Furthermore, it promotes the advancement of medical technology, ensuring effective usability from classrooms and laboratories to hospitals.