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• W4285295268 abstract "During the Covid-19 pandemic, teaching and learning activities were carried out virtually. It has been running for more than one year. When the trend of Covid-19 cases decreased, onsite learning began to be trialed by implementing strict health protocols. One of the important parameters for the first screening is body temperature because 99% of Covid-19 patients have fever. Therefore, a student temperature measurement mechanism is needed before entering the school area. A number of temperature detectors should be located to prevent queues. A distributed real-time monitoring system as well as data records are required for daily evaluations. Therefore, in this study, a distributed system for measuring body temperature was designed and implemented with data recording. This system runs online real-time on an internet network client server application. This system consists of four temperature detectors connected to a mini-computer as data control and an access point to a dedicated network. All sensor nodes can send data simultaneously. A web server application is provided for data storage and access to the client. From testing the proposed system, it is known that the system can send real-time data with a delay of <150 ms on several measurements and other measurements >150 ms because it really depends on the quality of internet service. The application can run an alarm function if it finds a temperature exceeding the threshold. This system has been implemented in one of a private school in the city of Bandung. With this system, it is hoped that it can support onsite learning activities in schools." @default.
• W4285295268 created "2022-07-14" @default.
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• W4285295268 date "2022-01-01" @default.
• W4285295268 modified "2023-10-15" @default.
• W4285295268 title "IoT-Based Distributed Body Temperature Detection and Monitoring System for the Implementation of Onsite Learning at Schools" @default.
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• W4285295268 doi "https://doi.org/10.1007/978-981-19-1804-9_2" @default.
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