Power outages also called power failures are a major issue in most sub-Saharan countries. On average there are about 10.5 outages per month each lasting for about 6.6 hours. These outages result in economic losses, lost productivity and customer inconvenience with about 80% of these outages occurring in the distribution network. The aim of most utilities is to ensure reduced number of customers interrupted and the associated customer minutes of interruptions through the automation of the distribution network. This study proposes the use of Arduino microcontroller, SIM7600E 4G/GPS module, cloud application, Google API ,solar panel, MPPT solar charge controller and battery to enable automation of the distribution network and thus reduce on the duration of the power failures. This system is able to transmit power failure alerts to the cloud platform and mobile phone. This system was found to be effective in the reduction of power outage durations.

In operating systems, seek time is very crucial part, because all device requests are linked in queues. Disk Scheduling Algorithms are used to reduce the total seek time of any request to make performance of operating system is faster. A comparison between two disc scheduling algorithm, such as SCAN (Elevator) algorithm and CSCAN (Circular SCAN) algorithm, is tested by exploring the unique character of each algorithm and then it will be decided which algorithm is the best in performing disc scheduling which can be implemented in the operating system. To compare these algorithms, a software named Track Animation will be used. With track animation software we can see a simulation of various disc scheduling algorithms. The result from this research between SCAN and CSCAN shown the CSCAN algorithm produces less seek time compared to the SCAN algorithm. In addition, CSCAN results in more uniform waiting times compared to SCAN, but with difference dataset which have small standard deviations and variance, SCAN algorithm will make disk performance faster and efficient than CSCAN algorithm.