Development of Early Warning Systems to monitor e-learning progress

An early warning on early warning systems!

WG Early Warning Systems

Early Warning Systems aim at detecting unclassified but potentially harmful system behavior based on preliminary indications and are complementary to Intrusion Detection Systems. Both kinds of systems try to detect, identify and react before possible damage occurs and contribute to an integrated and aggregated situation report (big picture). A particular emphasis of Early Warning Systems is to ...

Model-based Development of Self-organising Earthquake Early Warning Systems

A new approach for Earthquake Early Warning Systems (EEWS) is presented that uses wireless, self-organising mesh sensor networks. To develop the prototype of such IT-infrastructures, we follow a model-driven system development paradigm. Structure and behaviour models of network topologies in specific geographic regions are coupled with wave signal analysing algorithms, alarming protocols, conve...

The development of Malaria Early Warning Systems for Africa.

Current efforts to predict malaria epidemics focus on the role weather anomalies can play in epidemic prediction. Alongside weather monitoring and seasonal climate forecasts, epidemiological, social and environmental factors can also play a role in predicting the timing and severity of malaria epidemics. Such factors can be incorporated into a framework for malaria early warning.

Development of tsunami early warning systems and future challenges

Fostered by and embedded in the general development of information and communications technology (ICT), the evolution of tsunami warning systems (TWS) shows a significant development from seismic-centred to multisensor system architectures using additional sensors (e.g. tide gauges and buoys) for the detection of tsunami waves in the ocean. Currently, the beginning implementation of regional ts...