Thammadul Wellness Center is a health and wellness center focused on restoring balance to the body and mind through natural therapy and holistic care. Designed as a retreat for relaxation and rejuvenation, the center integrates alternative medicine, nutritional therapy, appropriate exercise, and an environment that promotes tranquility. The center offers a wide range of services, including Thai herbal spa treatments, yoga and meditation, nutritional counseling, and personalized health restoration programs. The architectural design emphasizes the use of natural materials and a setting that harmonizes with the surrounding environment, creating a serene atmosphere that allows visitors to reconnect with nature. Thammadul Wellness Center aims to promote the concept of holistic health care, emphasizing prevention rather than treatment, so that guests can adopt these wellness practices into their daily lives sustainably.
1.ความเครียดและปัญหาสุขภาพจากวิถีชีวิตสมัยใหม่ 2.อนุรักษ์และส่งเสริมภูมิปัญญาท้องถิ่นด้านสุขภาพ 3.ให้ความสำคัญกับการดูแลสุขภาพเชิงป้องกันมากขึ้น ทำให้แนวทางธรรมชาติบำบัดได้รับความนิยม
คณะอุตสาหกรรมอาหาร
A new jelly snack alternative for health-conscious individuals—delicious, convenient, and gut-friendly. Rich in probiotics and prebiotics, packed with antioxidants, and essential vitamins. Suitable for health enthusiasts and lactose-intolerant individuals. Free from artificial colors and flavors
คณะวิทยาศาสตร์
With the development of space technology, wide-field sky surveys using telescopes have expanded the range of new data available for time-domain astronomical research. Traditional data analysis methods can no longer respond quickly and accurately enough to the growing volume of data. Thus, classifying time-series data, such as light curves, has become a significant challenge in the era of big data. In modern times, analyzing light curves has become essential for using machine learning techniques to handle and filter through massive amounts of data. Machine learning algorithms can be divided into two categories: shallow learning and deep learning. Numerous researchers have proposed and developed a variety of algorithms for light curve classification. In this study, we experimented with Support Vector Machine (SVM) and XGBoost, which are shallow machine learning algorithms, as well as 1D-CNN and Long Short-Term Memory (LSTM), which are deep learning algorithms, which are branches of deep machine learning, to classify variable stars. The training and testing data used in this study were from the Optical Gravitational Lensing Experiment-III (OGLE-III), consisting of variable star data from the Large Magellanic Cloud (LMC), categorized into five main classes: Classical Cepheids, δ Scutis, eclipsing binaries, RR Lyrae stars, and Long-period variables. The results demonstrate the performance analysis of each machine learning algorithm type applied to light curve data, while also highlighting the accuracy and statistical metrics of the algorithms used in the experiments.
คณะเทคโนโลยีสารสนเทศ
KinderForest : Puzzle Building Game with VR Technology is designed to utilize Virtual Reality (VR) technology with the primary aim of promoting creative problem-solving skills and basic practical application abilities among players. This project presents the game in an Augmented Virtual Reality (AR VR) format, emphasizing physical engagement of players during gameplay while fostering creativity and fundamental application skills. The project team has chosen to utilize Unreal Engine 5.1 and Oculus Quest 2 virtual reality glasses to develop the game in the form of augmented virtual reality technology. Within the game, there will be various levels that require creative thinking and different approaches to pass. Time constraints will be a crucial element in completing missions and progressing through these levels. Players will physically move their bodies in response to in-game movements. Each level will present unique challenges that will necessitate both physical movement and problem-solving skills. The game will provide different rewards based on the outcomes of mission completion, and players will be informed of their results once they have successfully passed a level.