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- W3135590212 abstract "Abstract The population increase in urban areas is one of the primary reasons for changing the local climate, and there is a high impact on the surrounding areas. Due to rapid urbanization, natural land surfaces are being replaced by an artificial land cover which negatively impacts the ecosystem resulting in Urban Heat Island (UHI) effect. It has a detrimental impact on residential environments and implications for human health. Accurate UHI intensity information can be very helpful to take effective urban planning strategies. This research contributes to developing a temperature monitoring system based on the Internet of Things to support UHI information. The system is designed using a DS18b20 temperature sensor. Data from the sensor is processed by the data logger and sent to the server using the ESP8266. The system will process data from sensors into urban and rural temperature information and the UHI index. Besides, an Artificial Neural Network approach presented in this study for predicting temperature to anticipate the impact of increasing the UHI index. As a result, the system could be implemented to provide real-time information about temperature and UHI on the website. Sensor calibrated has a correlation coefficient R 2 about 0.99996 and 0.99997 and data sent percentage 100% and temperature prediction using ANN were successfully made with acceptable accuracy of 85.1%." @default.
- W3135590212 created "2021-03-15" @default.
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- W3135590212 date "2021-02-01" @default.
- W3135590212 modified "2023-09-26" @default.
- W3135590212 title "Development of temperature monitoring and prediction system for urban heat island (UHI) based on the internet of things" @default.
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- W3135590212 doi "https://doi.org/10.1088/1742-6596/1816/1/012054" @default.
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