EuroVA13
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Browsing EuroVA13 by Subject "I.3.6 [Computer Graphics]"
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Item Feature-Based Visual Analytics for Studying Simulations of Dynamic Bi-Stable Spatial Systems(The Eurographics Association, 2013) Eichner, C.; Bittig, A.; Schumann, H.; Tominski, C.; M. Pohl and H. SchumannSimulations of dynamic bi-stable spatial systems usually generate large and complex data that are hard to evaluate. In this paper, we describe how visual analytics technology can help in analyzing such simulation data. The idea behind our approach is to utilize concepts of feature-based visualization. Consequently, we consider (1) interactive specification of meaningful features, (2) analytic extraction and tracking of features as well as detection of events in the features' evolution, and (3) visual representation of features with their spatial, temporal, and structural aspects. Our solution has been used by simulation experts to analyze spatio-temporal distributions of multiple types of particles in reaction-diffusion simulation data. With the help of the feature-based approach the scientists were able to understand how the spatial separation of proteins develops over time.Item Visual Analysis of Expert Systems for Smart Grid Monitoring(The Eurographics Association, 2013) Steiger, M.; May, T.; Davey, J.; Kohlhammer, J.; M. Pohl and H. SchumannThis application paper introduces the combination of an expert system with a visualization system, specifically designed for SmartGrid control rooms. It supports operators in the efficient monitoring of electric grids with a focus on distributed, small-scale power generation. A rule-based expert system filters the stream of a large amount of incoming events, searching for potential problems. A multiple, coordinated view environment provides the required situational awareness for the user and presents the analysis results in a details-on-demand manner. Being a critical infrastructure, the electric grid is highly sensitive and any modification must be well justified. Our visualization system therefore also provides insight into the expert system enabling the user to validate and verify the expert system's analysis process. This provides the required decision support to assist the operator in keeping the grid in stable operating condition.