Abstract
Problem statement: 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. Conclusion/Recommendations: Accordingly, this study aims to design production rules for wetland environment context inference and establish application system by using JESS and the rule-based system based on facts collected from sensor networks in the wetland environment USN middleware.
Highlights
Wetland is a wet ground surrounded by rivers, ponds and swamps and a reserve of natural resources where water always remains under natural environment and lasts long Kwater Environmental Kit Natlonal Institute of Environmental Research Environmental Kit 1990.ongoing maintenance is required to better manage important wetlands
This study aims to prepare for this through application of context inference techniques of Ubiquitous Sensor Network (USN) Middleware based on USN techniques and production rules for wetland control system design
One condition or more come into Left Hand Side (LHS) and Action is followed on Reft Hand Side (RHS), when the conditions are met
Summary
The produced rules in this study can predict current status of wetland and identify dangerous situations through methods to recognize situations and infer based on specific facts measured by sensors. One condition or more come into Left Hand Side (LHS) and Action is followed on Reft Hand Side (RHS), when the conditions are met Such rules should be set to take a specific action when datum that a sensor collects meets a certain condition or rule that a user has made. It can be predicted that a certain situation can happen This is called as rule-based context-inference (Doorenbos, 1995). It is to perform the specified information when a factor based on water quality data collected from a sensor has a specific data value.
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