visualizations are highly valuable in improving the understanding, as well as the analysis of a variety of physical phenomena. Two such applications can be as a pedagogical tool for enhanced perception of complex topi...
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visualizations are highly valuable in improving the understanding, as well as the analysis of a variety of physical phenomena. Two such applications can be as a pedagogical tool for enhanced perception of complex topics, or as an everyday aid that helps engineers interpret the outcome of simulations. In this paper we try to meet both these objectives and propose a novel approach to three- dimensionally visualize time-varying electromagnetic fields and show how this can be applied to improve the understanding of propagating radio waves used in wireless communication networks. To obtain this, we use a numerical version of Maxwell's equations to create snapshots of a propagating electromagnetic field. In this manner we are able to not only, intuitively get a better general understanding of radio waves, but also disclose important phenomena such as diffraction, reflection, attenuation and multipath behavior.
To evaluate differences across viewers' visual attentional patterns, scanpath comparison has recently gained popularity in eye tracking studies, supplementing traditional objective (performance) and subjective mea...
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This work investigates how people perceive high-fidelity computer graphics whilst they are experiencing motion. The aim is to exploit the cross-modal interference between the human visual and vestibular systems. This ...
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Chemistry deals with structures too small for the naked eye;thus chemists rely heavily on graphical representations. An external observer could presume that the available chemistry visualization tools would be at the ...
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One of the most challenging problems in data visualization is the perception of 3D flow fields because judging the orientation of 3D paths is perceptually difficult. It is hypothesized that perception of the orientati...
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This paper describes a new technique to visualize 2D flow fields with a sparse collection of dots. A cognitive model proposed by Kent Stevens describes how spatially local configurations of dots are processed in paral...
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