A comprehensive review of a data centre for a cooling system

Cyber-Physical-Social Systems, commercial enterprises, and social networking use data centers to store, process, and distribute massive amounts of data. A data center serves as the foundation for all of these endeavors. The data center's workload and power consumption are increasing rapidly due to the demand for remote data services. Mechanical refrigeration and terminal cooling are the most critical components for most cooling systems. There is a way to transfer heat from the data center to the outside environment, but it's a complicated process. Air cooling systems and technology are most useful for room cooling and rack-level cooling. Because of their superior cooling performance and higher energy efficiency, air cooling has attracted more attention than water cooling in most existing data centers. The chillers and fans consume the most power of all the cooling equipment in the system. These methods can be divided into mechanism-based methods and data-driven methods for energy management of the cooling system. Operation management of cooling equipment is proposed to reduce power consumption, mainly using predictive model control and reinforcement learning-based methods. An overview of the data center's cooling system is presented in this paper, which focuses on the most common cooling solutions, power consumption modeling methods, and optimization control strategies, among others. In addition, the data center's cooling system is described as a current and future issue

Face mask wear detection by using facial recognition system for entrance authorization

A Face Mask Wear Detection Device for Entrance Authorization is designed to ensure that everyone wears a face mask at all times in a confined space. It is one of the easiest methods to lower the rate of coronavirus infection and hence save lives. Asthma, high blood pressure, heart failure, and many other chronic conditions can be fatal to those who are infected by the novel Coronavirus (nCoV-21). Consequently, the goal of this research is for face mask wear detection devices that help to reduce the rate of Novel Coronavirus infection on-premises or in public places by ensuring that customers comply with Standard Handling Procedures (SOP) set by the Ministry of Malaysian Health (MOH). Customers' faces are recognized by this device whether or not they are covered by a face mask upon entry into a facility. Additionally, the use of this device can contribute to ensuring compliance with the maximum number of customers allowed on the premises. A facial recognition system is the goal of this study that uses technology designed as an individual disciplinary aid and follows the safety procedure at this critical time. This research was developed using the engineering design process development model which has four phases namely; identifying the problem, making possible solutions, prototype development and testing and evaluating the solution. Results indicate that the developed product can function effectively. Experts have discovered that using this product helps people stick to their face mask routines. The design of this product has improved, which means that the overall quality of the product is elevated to be capable of performing as intended in terms of intelligent technologies

Development of navigation system for unmanned surface vehicle by improving path tracking performance

A fundamental of a fully unmanned vehicle entails the use of Global Positioning System (GPS) and sensors module that emits USV a series of a waypoint for moving towards the target. In other words, GPS provides an accurate data location longitude and latitude for monitoring purposes. However, this real-time tracking path needs to extend their application for moving in curvature motion. Based on this fact, the real-time autonomous navigation system of USV will improve in this research by implementing the mathematical equation that will communicate with the GPS sensor. The objectives of this project are developing a navigation system that will determine a real-time of an unknown target location by using GPS and focuses on validating an ability of mathematical equation for correcting the error occurred between USV heading and the target heading error path. In this project, the system is divided into two parts; target platform and USV platform. Target platform is left freely on the water surface with an unknown location. RF Transceiver module 2 in the USV platform receives the information signal from RF Transceiver module 1 in the target platform. Employment of the PP Guidance controller will be engrossed in this project for estimating the future goal point by computing the goal point coordinate and the current USV body commands. Hence, the distance between two coordinates has been computed in the controller for getting new coordinates as a new waypoint towards the Target platform. Based on this experiment, there is some error occurred due to the sensors on-board. For further research, USV platform needs to add a PID controller to overcome the interruption reading between mathematical equation heading routing to get the actual result