Abstract
With gradually increasing movement to live together with nature, artificial wetlands are increasing as well. And the wind of change blows at the rivers and streams, thereby increasing the need for management systems. Accordingly this study proposes to design for this through application of context inference of USN and production rules for Context Inference Engine of wetland management system by using JESS. The produced rules in this paper can decide the grade of Eutrophication on wetland environment then predict the status of the wetland based on facts collected from sensor networks.
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© 2011 Springer-Verlag Berlin Heidelberg
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Im, SY., Oh, RD., Hwang, YC. (2011). Inference Engine Design for USN Based Wetland Context Inference. In: Kim, Th., Adeli, H., Robles, R.J., Balitanas, M. (eds) Ubiquitous Computing and Multimedia Applications. UCMA 2011. Communications in Computer and Information Science, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20998-7_33
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DOI: https://doi.org/10.1007/978-3-642-20998-7_33
Publisher Name: Springer, Berlin, Heidelberg
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