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Design of Sensor Data Processing Steps in an Air Pollution Monitoring System
AbstractEnvironmental monitoring is required to understand the effects of various kinds of phenomena such as a flood, a typhoon, or a forest fire. To detect the environmental conditions in remote places, monitoring applications employ the sensor networks to detect conditions, context models to understand phenomena, and computing technology to process the large volumes of data. In this paper, we present an air pollution monitoring system to provide alarm messages about potentially dangerous areas with sensor data analysis. We design the data analysis steps to understand the detected air pollution regions and levels. The analyzed data is used to track the pollution and to give an alarm. This implemented monitoring system is used to mitigate the damages caused by air pollution.
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Jung, Y.J.; Lee, Y.K.; Lee, D.G.; Lee, Y.; Nittel, S.; Beard, K.; Nam, K.W.; Ryu, K.H. Design of Sensor Data Processing Steps in an Air Pollution Monitoring System. Sensors 2011, 11, 11235-11250.View more citation formats
Jung YJ, Lee YK, Lee DG, Lee Y, Nittel S, Beard K, Nam KW, Ryu KH. Design of Sensor Data Processing Steps in an Air Pollution Monitoring System. Sensors. 2011; 11(12):11235-11250.Chicago/Turabian Style
Jung, Young Jin; Lee, Yang Koo; Lee, Dong Gyu; Lee, Yongmi; Nittel, Silvia; Beard, Kate; Nam, Kwang Woo; Ryu, Keun Ho. 2011. "Design of Sensor Data Processing Steps in an Air Pollution Monitoring System." Sensors 11, no. 12: 11235-11250.
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