Abstract | ||
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AirScope is a micro-scale modeling system as well as a micro-scale air quality monitoring system, which comprises as a micro-scale air quality management system. Importance of micro-scale air monitoring is rising due to the concern about environment near residential places. Traditional monitoring methods are providing overall air quality indexes. However, these methods have limited functionalities to provide air quality of near my house or where I am now. In this paper, we are trying to overcome the limitation of traditional methods by using ubiquitous sensor network (USN). AirScope consists of computational fluid dynamics based air quality modeling, USN-based sensor monitoring, and multi-modal interaction platform. We present a brief overview of AirScope and several aspects of constructed initial indoor test environment with a few validity tests. The proposed system will be extended to an outdoor real-world testbed with most of modern urban elements. Copyright © 2011 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
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2011 | 10.1002/cpe.1690 | Concurrency and Computation: Practice and Experience |
Keywords | DocType | Volume |
air quality,Constructing u-City,micro-scale air quality monitoring,traditional monitoring method,future foresight analysis,proposed system,overall air quality index,USN-based sensor monitoring,micro-scale air quality management,micro-scale modeling system,micro-scale air monitoring,air quality modeling | Journal | 23 |
Issue | ISSN | Citations |
10 | 1532-0626 | 2 |
PageRank | References | Authors |
0.41 | 2 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jung-Hun Woo | 1 | 2 | 0.41 |
HyungSeok Kim | 2 | 116 | 22.09 |
Sang Boem Lim | 3 | 46 | 10.60 |
Jae-Jin Kim | 4 | 67 | 13.37 |
Jonghyun Lee | 5 | 12 | 3.66 |
Rina Ryoo | 6 | 3 | 1.49 |
Hansoo Kim | 7 | 66 | 19.50 |
Le Dinh Minh | 8 | 3 | 1.15 |