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Title	Development Of An Iot Based Systems To Mitigate The Impact Of Covid-19 Pandemic In Smart Cities
ID_Doc	19652
Authors	Herath H.M.K.K.M.B.; Karunasena G.M.K.B.; Herath H.M.W.T.
Year	2021
Published	Studies in Computational Intelligence, 971
DOI	http://dx.doi.org/10.1007/978-3-030-72065-0_16
Abstract	The dramatic growth of urbanization in modern cities calls for smart strategies to resolve crucial problems such as transportation, healthcare, energy, and civil infrastructure. The Internet of Things (IoT) is one of the most exciting enabling technologies to address smart city problems by creating a large global network of interconnected physical objects embedded with electronics, software, sensors, and network connectivity. Since the end of 2019, the world has been confronted with the challenge of the COVID-19 virus originating in Wuhan, China. Precautionary measures are expected to be needed in the world to combat the pandemic of COVID-19 until an effective vaccine is developed. The disease has already proven the value of modern smart healthcare which plays a significant role in preventing COVID-19. The aim of this research is to develop the COVID-19 cluster tracking system, and face mask detection system for public safety. The proposed cluster tracking system was validated for 26 test subjects in an experimental scenario of a potential COVID-19 cluster. The accuracy of the proposed face mask detection system was 86.96% observed at 0.9756 precision. According to the testing results, the proposed system was showed promising outcomes for the prevention of the COVID-19 pandemic in a smart city. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords	COVID-19; Global pandemic; Internet of Things (IoT); Smart city; Smart healthcare; Smart tracking; Urban IoT

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