Bisherige Ausstellungen

INSIGHT 2016 — Klagenfurt

Die Ausstellung zur Insight 2016 fand im Lakeside Science & Technology Park in Klagenfurt statt. Zahlreiche Besucher erfreuten an den einzigartigen Bildern. Insight 2016 im Lakeside Science & Technology Park

Beispiele ausgestellter Bilder Smoky hurricane

Smoky hurricane – Rostislav Khlebnikov (King’s College London)

The image shows the volume rendering of the hurricane Isabel dataset using the novel noise-based visualization approach. A noise function is used to redistribute the opacity within a voxel (element of a volumetric image) which allows simultaneous visualization of dataset containing information about multiple variables (e.g. pressure and wind velocity). Each variable has a distinct color scale and rendering using the smoke-like “strands” allows the colors for each variable to be clearly visible by avoiding color intermixing due to the direct volume rendering (DVR) color accumulation. The redistributed opacity, however, allows to maintain the see-through capabilities of the DVR method.

JOINT FIRE

Joint Fire – Johannes Englsberger (DLR)

The figure shows a plot of joint torques for all 27 joints of our humanoid robot Toro while it is taking four steps forward and then comes to a stop (simulation, total time: 3,5 seconds).

Homage for Frank Morley

Homage for Frank Morley – Gert F. Bär (TU Dresden)

In plane geometry, Morley’s trisector theorem states that in any triangle, the three points of intersection of the adjacent angle trisectors form an equilateral triangle, called the first Morley triangle. Most authors describe this solution using the trisection of the interiour angles of a triangle. If the construction is done by trisection of the exterior angle at each vertex of any triangle then the three points of intersection of adjacent angle trisectors form an equilateral triangle as well. The graphic „Homage for Frank Morley“ illustrates this second case of the trisector theorem.

Sensitivity Analysis of CUMA

Sensitivity Analysis of CUMA – Mathias Brandstötter (UMIT / JOANNEUM RESEARCH)

This image was created during research on modular serial manipulators. Complex algorithms to compute the inverse kinematics of serial robots realized in its most general form are necessary. The implementation of this algorithms in the computer leads to automated decisions which must be made upon many factors. Sometimes it is impossible to make a clear decision and this circumstance yields in an apparent chaotic result.

INSIGHT 2014 — Hall in Tirol

2014 fand die erste Insight Veranstaltung an der Privaten Universität UMIT in Hall in Tirol statt.

Insight 2014 an der UMIT

Metabolic Pathways

Metabolic Pathways – Bernd Haas (Biocrates Life Sciences AG)

The image visualizes 712 molecules in human metabolism from KEGG database and the enzyme reactions between the molecules. The image was generated while testing the new pathway visualization module of the targeted metabolomics software package “MetIDQ“ developed by Biocrates Life Sciences AG.

Selective coole heart

Selective cooled heart – Roland Kinast (UMIT)

This image was generated by a 2D simulation of wavefront propagation in myocardial tissue (T = 37°C) with cooled spots (T = 27°C) were the wavefront traveled from upper right to lower left. The lower left corner illustrates the decaying wavefront of the cardiac tissue at T = 37° C with a normal action potential duration of the cardiac muscle cells. The circular spots resulting from a prolonged duration of action potential of the myocardial cell, cooled (T = 27° C).

Heat Art = He(art)²

Heat Art = He(art)² – Ursula Reiter (Medizinische Universität Graz)

Magnetic resonance imaging emerges as powerful tool for assessment of temporally variable blood flow velocity fields, thus providing unique insights into physiology and pathophysiology of the cardiovascular system. This technique allows for example non-invasive early recognition and diagnosis of pulmonary hypertension (Reiter et al. PLOS ONE 2013).

The image represents blood flow velocity fields in the heart of a healthy volunteer throughout the cardiac cycle (from upper left to bottom right), visualized as paths of virtually scattered particles. Color coding of particle traces from blue to green to red corresponds to measured blood flow velocities in the heart from slow to fast.

Commonly the heart (left ventricle, right ventricle, left atrium, right atrium) and its surrounding vessels (aorta, pulmonary artery) do not appear in “heart shape”, which makes the presented heart of the healthy volunteer, additionally to the visualization per se, special: Heat Art = He(art)².