COVID-19 pandemic creates bigger opportunities to develop more Internet of Things-based systems. IoT has been useful in remote monitoring and control of connected devices. This research aims to develop a Room Temperature Remote Monitoring System using Arduino Board and Cloud storage. It provides remote monitoring of the room temperature, real-time reports and graphs, and a 3-way alert/alarm system when the observed temperature is out of range. The developed prototype is compared to the room thermometer and provides accurate results.
This paper aims to deploy Google ChromeFlex Operating System and evaluate its efficiency. Using a deep learning algorithm that analyzes all results from other users with the same type of browser and on the same OS. This provides a meaningful evaluation of the stressed components of the computer unit, report includes CPU, GPU, Memory, and Storage. Findings reveal that ChromeFlex OS works efficiently when the computer is connected online. Furthermore, GPU performance in ChromeFlex OS is lower in applications requiring graphics-related work like effects and videos. It is recommended to use ChromeFlex OS to computer units which are used for daily tasks using Internet-based applications. ChromeFlex OS is a new operating system with limited compatibility, and most of the productivity tools compatible with old operating systems such as Windows OS, MAC OS, LINUX, among others will not run in ChromeFlex OS.
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