In this paper we propose an elementary operation on a pair of vector fields as a building block for defining and computing global line-type features of vector or scalar fields. While usual feature definitions often are procedural and therefore implicit, our operator allows precise mathematical definitions. It can serve as a basis for comparing feature definitions and for reuse of algorithms and implementations. Applications focus on vortex core methods.
In this case study, we explore techniques for the purpose of visualizing isolated flow structures in time-dependent data. Our primary industrial application is the visualization of the vortex rope, a rotating helical structure which builds up in the draft tube of a water turbine. The vortex rope can be characterized by high values of normalized helicity, which is a scalar field derived from the given CFD velocity data. In two related applications, the goal is to visualize the cavitation regions near the runner blades of a Kaplan turbine and a water pump, respectively. Again, the flow structure of interest can be defined by a scalar field, namely by low pressure values. We propose a particle seeding scheme based on quasi-random numbers, which minimizes visual artifacts such as clusters or patterns. By constraining the visualization to a region of interest, occlusion problems are reduced and storage efficiency is gained.
Since the publication of the first FTIR multi-touch interaction system [1], the public attention for the field of Single Display Groupware (SDG) has been rising constantly. Lately, former SDG systems with multi-interaction capabilities like DiamondTouch [2], reacTable [3], or Microsoft Surface [4] have been followed by promising systems, i.e. ThinSight [5] and MightyTrace [6]. The latter integrate their tracking technology into commercial liquid crystal displays (LCD), and thus drastically reduce the space requirements. Some recently published work [7] also conveys a trend to support industrial-oriented tasks as systems like BUILD-IT [8] did some time ago. We present a traffic training simulator concept based on discrete event simulation to ensure realistic traffic behavior, adequate visualization, and a user centered interaction concept on an SDG system to support training activities for policemen. Within this environment, policemen are able to train their behavior and the adequate choices under different traffic situations much like other professionals train their standard procedures, e.g. pilots in a flight simulator. Such a training environment will give the possibility to learn offline about important characteristics of intersections based on historical data like system stability, incident handling, or additional improvement potential.
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