The Project Urban House is an initiative focused on developing and designing urban housing solutions that address the growing demand for city living. The project emphasizes efficient space utilization, sustainability, and designs that cater to modern urban lifestyles. Key considerations include the use of eco-friendly materials, the integration of green spaces, and the implementation of smart home technologies to enhance residents' quality of life.
1. พัฒนาทักษะด้านการออกแบบสถาปัตยกรรมภายในสำหรับที่อยู่อาศัยในเมือง 2. ส่งเสริมความคิดสร้างสรรค์และการแก้ปัญหาภายในพื้นที่จำกัด 3. ฝึกการทำงานแบบมืออาชีพและการนำเสนอโครงการ
คณะวิทยาศาสตร์
This project aims to investigate and develop an energy storage system utilizing solar energy sources through the integration of solar cell technology and Graphene Quantum Dot Battery, representing a novel approach to enhancing energy storage efficiency and prolonging the lifespan of renewable energy systems. The selection of graphene and quantum dots as materials for battery development is attributed to their exceptional properties, including high electrical conductivity, charge storage capacity, efficient energy transfer, and enhanced stability.
คณะอุตสาหกรรมอาหาร
This study aims to investigate the co-encapsulation technique of vitamin C and coenzyme Q10 within liposomes to enhance their stability and encapsulation efficiency and evaluate their antioxidant activity and release behavior under simulated gastrointestinal conditions. Liposomes were prepared using the High-Speed Homogenization Method, and their characteristics, including particle size, zeta potential, encapsulation efficiency, and antioxidant activity, were analyzed using DPPH, ABTS, and FRAP assays. The results demonstrated that co-encapsulation significantly improved the stability of vitamin C and coenzyme Q10 compared to single encapsulation. The liposomes exhibited high encapsulation efficiency and maintained strong antioxidant activity. The release profile under simulated gastrointestinal conditions also indicated a sustained and controlled release. These findings highlight the potential of the co-encapsulation technique in enhancing the efficacy of functional bioactive compounds, making it applicable to the food and nutraceutical industries.
คณะวิทยาศาสตร์
Recruitment is a crucial process that enables organizations to select candidates whose qualifications match the requirements of a given position. However, this process often faces challenges related to data management, delays, and human bias. This research aims to design and develop an intelligent web application for employee recruitment using artificial intelligence (AI) technology to evaluate and score candidates' suitability for job positions. The system leverages data analysis techniques on resumes and a qualification-matching process based on predefined criteria. Developed using Agile principles, the system employs Natural Language Processing (NLP) to analyze resumes, assess candidates’ qualifications, skills, and experience, and utilizes Machine Learning to predict and rank suitability. The system consolidates data from multiple sources into a unified database to reduce redundancy and input errors. Additionally, it presents insights through a dashboard, enabling HR teams to make more effective hiring decisions.