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Big data streaming has become an important paradigm for real-time processing of massive
continuous data flows in large scale sensing networks. While dealing with big sensing data …

Frequent water pollution incidents have occurred recently, leading to severe damages,
economic loss, and long-lasting society impact. Therefore, installation of water quality …

Density-based spatial clustering of applications with noise (DBSCAN) is a density-based
clustering algorithm that has the characteristics of being able to discover clusters of any …

Dynamic Data Driven Applications Systems (DDDAS) is a systems design framework that
focuses on integrating high-dimensional physical model simulations, run-time …

In recent years, water pollution incidents happen frequently, causing serious disasters and
society impact. It is advocated that water quality monitoring sensors shall be deployed in …

Abstract Dynamic Data Driven Applications Systems (DDDAS) is a paradigm for systems
analysis and design and a framework that dynamically integrates comprehensive, first …

Water pollution incidents have occurred frequently in recent years, causing severe
damages, economic loss and long-lasting society impact. A viable solution is to install water …

Abstract Dynamic Data Driven Applications Systems (DDDAS) is a paradigm for systems
analysis and design, and a framework that dynamically couples high-dimensional physical …

In the past few years, several studies proposed to reduce the impact of bushfires by mapping
their occurrences and spread. Most of these prediction/mapping tools and models were …