title: Design of sensor data processing steps in an air pollution monitoring system.
abstract: Environmental 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.
authors.affiliation: Korea Institute of Science Technology and Information, 245 Daehangno, Yuseong, Daejeon 305-806, Korea. yjjung@kisti.re.kr
authors.forename: Young Jin
authors.initials: YJ
authors.lastname: Jung
authors.forename: Yang Koo
authors.initials: YK
authors.lastname: Lee
authors.forename: Dong Gyu
authors.initials: DG
authors.lastname: Lee
authors.forename: Yongmi
authors.initials: Y
authors.lastname: Lee
authors.forename: Silvia
authors.initials: S
authors.lastname: Nittel
authors.forename: Kate
authors.initials: K
authors.lastname: Beard
authors.forename: Kwang Woo
authors.initials: KW
authors.lastname: Nam
authors.forename: Keun Ho
authors.initials: KH
authors.lastname: Ryu
mesh_terms: D000397:Air Pollution; D004784:Environmental Monitoring / Q000379:methods*