The project of game development to educate about Egyptian civilization This is intended to be a game to promote learning about ancient Egyptian civilization. The original learning may feel boring. Do not attract the attention of learners Therefore saw the presentation in the form of a game on virtual reality technology that inserts knowledge history With the aim of making learning more interesting The organizers can choose to use Unreal Engine 5.1 (Unreal Engine 5.1) and Oculus Quest II (Oculus Quest2) to develop. Within the game, players must find a way to escape from this room within the specified period of solving puzzles in various forms such as statues, traps, etc. In order to solve puzzles and leave this room, players must collect all the information inside the room. In addition, the game shows the life of the player and when the player cannot solve the puzzle correctly.
อารยธรรมอียิปต์โบราณเป็นหนึ่งในอารยธรรมอันยิ่งใหญ่ของโลกยุคโบราณที่เป็นต้นกำเนิดของศาสตร์หลายๆแขนง ชาวอียิปต์โบราณถือเป็นนักสร้างสรรค์อารยธรรมทั้งด้านคณิตศาสตร์ และสถาปัตยกรรมอันโดดเด่น เพื่อศึกษาประวัติศาสตร์ซึ่งเป็นรากเหง้าของศาสตร์หลากหลายแขนงนั้นอาจต้องใช้เวลาและแหล่งข้อมูลจากหลายแหล่ง และมักจะเกิดความเบื่อหน่ายขึ้นได้ง่าย เพื่อที่ทำให้การศึกษาประวัติศาตร์เหล่านั้นไม่น่าเบื่อจนเกินไป ผู้จัดทำจึงได้นำเกมแนวไขปริศนาซึ่งสร้างขึ้นออกมาเป็นเสมือนกลไกในห้องลับเพื่อที่จะเสริมสร้างวิธีการแก้ไขปัญหาและได้ค้นหา เรียนรู้ประวัติศาสตร์ไปพร้อมๆกัน ผู้จัดทำเล็งเห็นว่าเทคโนโลยีความเป็นจริงเสมือน หรือ VR (Virtual Reality) สามารถดึงความสนุก และเพิ่มความน่าสนใจของตัวเกมจากผู้เล่นในการแก้ไขปริศนาเพื่อหาวัตถุโบราณและนำข้อมูลที่ได้พบนั้นมาตอบคำถามเพื่อเรียนรู้ประวัติศาสตร์ของอารยธรรมอียิปต์ได้เป็นอย่างดี
คณะเทคโนโลยีการเกษตร
This research gives a comprehensive overview of the use of antibiotics in livestock production, highlighting both the benefits and the risks associated with their use. The benefits, such as improving immunity, digestion, and reducing infections, are contrasted with the growing concern over antibiotic residues and the development of drug resistance. The shift towards alternatives like probiotics is explored as a sustainable solution, with a specific focus on lactic acid bacteria (LAB) found in the digestive systems of livestock. Thailand’s regulations, which control antibiotic use in animal feed, are also discussed, setting the stage for the study on LAB as a potential replacement for imported probiotics. 1. Use of Antibiotics in Livestock: Antibiotics have been used to promote growth, improve digestion, and prevent infections in livestock. However, the improper use of antibiotics can lead to residues in animal products and the development of drug-resistant bacteria. 2. Global Trends in Antibiotic Use: Many countries, like the European Union and Japan, have banned antibiotics as growth promoters, while others, like China and the U.S., are planning similar bans. 3. Thailand's Approach: Thailand has implemented a regulation since September 2020 to control the use of antibiotics in animal feed, requiring control at both feed mills and farms that mix their own feed. 4. Probiotics as an Alternative: Probiotics, particularly lactic acid bacteria (LAB), are being studied as an alternative to antibiotics. LAB are naturally found in the digestive tracts of livestock and are considered beneficial for maintaining gut health and replacing the need for antibiotics. The study examines the potential of LAB from Thai livestock (broilers, pigs, and cattle) as a sustainable alternative to imported probiotics, aiming to overcome issues like low survival rates of foreign probiotics in practice.
วิทยาลัยเทคโนโลยีและนวัตกรรมวัสดุ
The photoelectrochemical detection of salbutamol, which is illicitly used as a lean meat promoter in pigs, is investigated using a molecularly imprinted polymer (MIP)-based sensor with a CuO/g-C₃N₄ nanocomposite to enhance detection performance, leveraging nanomaterials and molecular imprinting for high selectivity and sensitivity. This approach offers a promising strategy for the precise and efficient analysis of salbutamol in food samples.
คณะเทคโนโลยีสารสนเทศ
This report is part of applying the knowledge gained from studying machine learning models and methods for developing a predictive model to identify customers likely to cancel their credit card services with a bank. The project was carried out during an internship at a financial institution, where the creator developed a model to predict customers likely to churn from their credit card services using real customer data through the organization's system. The focus was on building a model that can accurately predict customer churn by selecting features that are appropriate for the prediction model and the unique characteristics of the credit card industry data to ensure the highest possible accuracy and efficiency. This report also covers the integration of the model into the development of a website, which allows related departments to conveniently use the prediction model. Users can upload data for prediction and receive model results instantly. In addition, a dashboard has been created to present insights from the model's predictions, such as identifying high-risk customers likely to cancel services, as well as other important analytical information for strategic decision-making. This will help support more efficient marketing planning and customer retention efforts within the organization.