Air Rack is a product designed to address businesses with limited space and budget constraints for server rooms, cooling systems, and noise management. This system enables efficient use of IT equipment in open spaces, supporting both On-premise and On-cloud operations. It converts sensor data into digital information and displays it via a Dashboard, allowing users to monitor, analyze, and control the system remotely. Additionally, Air Rack significantly reduces power consumption and the costs associated with traditional server room management.
Air Rack เป็นผลิตภัณฑ์ที่ออกแบบมาเพื่อธุรกิจจำนวนมากไม่มีพื้นที่ หรืองบประมาณในการสร้างห้องเซริฟ์เวอร์, ระบบระบายความร้อน และการจัดการเสียงรบกวน ซึ่งเป็นผลมาจากการนำอุปกรณ์ไอทีออกมาในที่โล่ง ใช้งานรวมกับระบบแสดงผลและเก็บข้อมูลแบบออนไลน์ ระบบถูกออกแบบมาให้ทำหน้าที่เป็นเครื่องมือที่สามารถเก็บข้อมูลได้อย่างละเอียดและแม่นยำ ทั้งแบบ On-premise และ On Cloud ก่อนจะประมวลผลโดยแปลงสัญญาณจากเซ็นเซอร์ให้เป็นข้อมูลดิจิตอล เพื่อส่งตรงสู่หน้าจอคอมพิวเตอร์ในรูปแบบของ Dashboard ที่ประกอบไปด้วยแผนภูมิ (Charts) เกจ (Gauges) LEDs ตาราง และอื่นๆ ให้คุณสามารถควบคุมกระบวนการ ติดตาม ตรวจสอบ วิเคราะห์ และสั่งงานได้จากระยะไกล
คณะวิศวกรรมศาสตร์
Jaundice, a common condition in infants that results from high bilirubin levels in the blood, often requires early diagnosis and monitoring to prevent severe complications, especially in newborns. Traditional diagnostic methods can be time-consuming and subject to human error. This study proposes an approach for real-time jaundice detection using advanced image processing techniques and machine learning algorithms. By analyzing images captured in RGB color spaces, pixel values are extracted and processed through Otsu’s thresholding and morphological operations to detect color patterns indicative of jaundice. A classifier model is then trained to distinguish between normal and jaundiced conditions, offering an automated, accurate, and efficient diagnostic tool. The system’s potential to operate in real-time makes it particularly suited for clinical settings, providing healthcare professionals with timely insights to improve patient outcomes. The proposed method represents a significant innovation in healthcare, combining artificial intelligence and medical imaging to enhance the early detection and management of jaundice, reducing reliance on manual interventions and improving overall healthcare delivery.
คณะเทคโนโลยีสารสนเทศ
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.
คณะวิทยาศาสตร์
This work presents the fabrication of the handheld meter for potentiometric detection of Hg (II). The meter was constructed based on using an ion-sensitive field-effect transistor (ISFET) platform. The developed meter provides high accuracy and precision (%Recovery was in the range of 92.55 - 109.32 and %RSD was 2.38). It was applied to the analysis of cosmetic samples. The results by the developed electrode were not significantly different at a 95% confidence level compared to the results by using ICP-OES.