Nowadays, assembling a computer is considered something close to many people. Everyone has a chance to catch it. which knowledge of various components of computers and skills in assembling computers. These 2 things mentioned above are things that the general public should have basic knowledge and understanding about. For the self-assembly of computers, We therefore would like to provide knowledge to the general public who wants to learn how to assemble a computer, including information about its components. Through presentation in the form of learning media using VR technology, which will help reduce the problem of errors. and resources used in assembly Ready to create excitement for users by simulating computer assembly for users to interact within the virtual world. experience and provide knowledge before actually putting it into practice with real equipment This project was therefore created for those interested in assembling computers. Especially for people who have no experience in computer assembly. Including people who would like to have the opportunity to try building a computer by themselves.
ในการประกอบคอมพิวเตอร์หนึ่งเครื่องนั้นจำเป็นต้องมีอุปกรณ์จริงในการประกอบ หากไม่มีก็ไม่สามารถทำได้ อีกทั้งผู้ที่จะประกอบไม่มีความรู้อาจส่งผลให้ต้องใช้เวลานานในการประกอบ และ ในการปฏิบัติจริงในบางกรณีอาจส่งผลเสียกับอุปกรณ์กรณีที่ประกอบผิดขั้นตอน ซึ่งโครงงานนี้จะช่วยให้ผู้ใช้สามารถได้ทดลองประกอบคอมพิวเตอร์ได้ด้วยตนเอง พร้อมกับให้ความรู้เบื้องต้น โดยผ่านการนำเสนอในรูปแบบสื่อการสอนด้วยเทคโนโลยีความจริงเสมือน เพื่อให้ผู้ใช้ได้มีปฏิสัมพันธ์ และ ได้จำลองสถานการณ์ ซึ่งจะช่วยให้ผู้ใช้งานสามารถเข้าใจ และ ได้ความรู้ในการประกอบคอมพิวเตอร์มากยิ่งขึ้น ก่อนที่จะนำความรู้ที่ได้ไปปฏิบัติกับอุปกรณ์จริงได้อย่างถูกต้อง
คณะเทคโนโลยีการเกษตร
This project presents a design and management approach for agricultural land in Kanchanaburi Province. The case study area is situated in Wangdong Subdistrict, Mueang Kanchanaburi District, covering an area of approximately 18 rai (7.2 acres). As the user seeks a simplified lifestyle in the countryside, surrounded by nature, the design aligns with this vision of simplicity and sustainability. The land is systematically allocated to optimize the benefits for both daily living and agricultural industry development. The crop cultivation zones are designed to suit the local climate and plant varieties, ensuring high-quality yields for continuous utilization. Meanwhile, the livestock zones are clearly delineated to maintain balance and organization. This approach not only ensures food security and income generation but also promotes a lifestyle that harmonizes with nature, minimizes environmental impact, and supports the long-term development of an efficient and eco-friendly agricultural industry. Comprehensive attention is given to the positioning of various zones, considering wind direction and sunlight exposure. Additionally, the design undergoes a rigorous drafting and review process to ensure the optimal outcomes for the land's utilization.
คณะบริหารธุรกิจ
Parking space shortages in urban areas contribute to traffic congestion, inefficient land use, and environmental challenges. Automated Parking Systems (APS) provide an innovative solution by optimizing space utilization, reducing search times, and minimizing carbon emissions. This research investigates key factors influencing user adoption of APS technology using the UTAUT2 framework, focusing on variables such as Performance Expectancy, Effort Expectancy, Social Influence, Trust in Technology, and Environmental Consciousness. The APS Evolution project presents a smart parking solution that enhances efficiency, minimizes environmental impact, and improves user experience in urban settings. The initiative emphasizes technology-driven urban mobility and sustainable parking management to align with the evolving needs of modern cities.
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.