The emergence of Coronavirus disease 2019 (COVID-19) disease and its rapid spread around the world has serious impacts on people's lives in addition to its effects on many aspects, including the economic and educational sectors. Researches have proved that social distance is effective in combating COVID-19. Maintaining social distance is hard to be handled by humans especially in crowded areas such as airports and campuses. So, there is a need to apply a robust and proactive design to manage this process automatically and smartly. This paper presents a design system to fight COVID-19 by maintaining the social distance with effective monitoring for suspected cases. This has been done using cloud computing and a framework including Arduino (node microcontroller unit (NodeMCU)) with several sensors. The operational aspects of this design system using cloud computing have been discussed. Generally, NodeMCU has been involved in checking the conditions, comparison processing, and communication with the webserver. Moreover, the webserver has been used for determining the maximum number of persons allowed to enter. The results state that this design system is effective in combating COVID-19 through maintaining the social distance and collecting information about suspected cases. This system is valuable, dependable, and stable since the whole process is contactless.

This paper describes the prototyping of a BCH (Bose, Chaudhuri, and Hocquenghem) code using a Field Programmable Gate Array (FPGA) reconfigurable chip. BCH code is one of the most important cyclic block codes. Designing on FPGA leads to a high calculation rate using parallelization (implementation is very fast), and it is easy to modify. BCH encoder and decoder have been designed and simulated using MATLAB, Xilinx-ISE 10.1 Web PACK and implemented in a xc3s700a-4fg484 FPGA. In this implementation we used 15 bit-size code word and 5 bits data, any 3 bits error in any position of 15 bits has been corrected. The results show that the system works quite well.

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