A knowledge-based water purification plant control system
IEA/AIE '89 Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
A calculus of mobile processes, I
Information and Computation
Use of simulation method for surface water quality data
WSC '92 Proceedings of the 24th conference on Winter simulation
Scientific visualization of water quality in the Chesapeake Bay
Proceedings of the conference on Visualization '00
Interactive graphics in water quality investigations
ACM '73 Proceedings of the ACM annual conference
A pollution displacement model for the great lakes system
WSC '74 Proceedings of the 7th conference on Winter simulation - Volume 1
An ontology for context-aware pervasive computing environments
The Knowledge Engineering Review
A lightweight coordination calculus for agent systems
DALT'04 Proceedings of the Second international conference on Declarative Agent Languages and Technologies
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Water quality is vital to human life and economy. However, one sixth of the world's population suffers from lack of safe drinking and domestic water. Aiming to improve the capability of predicting and responding to river pollution disasters, this project collaborated with local offices of Chinese National Bureau of Water Resource to explore new solutions to coping with the ever-growing threat of river water pollution. We presented a distributed data analysis algorithm, Infinitesimal Dividing and Analysis, to efficiently locate pollution sources with data gathered from a ubiquitous wired/wireless sensor network. We elaborate on a @p-calculus based paradigm to enhance collaboration and interaction among individual monitoring stations. Based on these two enabling technologies, we applied our framework to water quality monitoring at two carefully chosen sites in China.