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Inference Engine Design for USN Based Wetland Context Inference

  • So-Young Im
  • Ryum-Duck Oh
  • Yoon-Cheol Hwang
Part of the Communications in Computer and Information Science book series (CCIS, volume 151)

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.

Keywords

Wetlands Eutrophication Context-Inference JESS Sensor Network 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • So-Young Im
    • 1
  • Ryum-Duck Oh
    • 1
  • Yoon-Cheol Hwang
    • 1
  1. 1.Computer Science and Information EngineeringChung-ju National UniversityChungju-siSouth Korea

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