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pro vyhledávání: '"Wiebel, Alexander"'
In this paper we present an approach to the analysis of the contribution of a small subregion in a dataset to the global flow. To this purpose, we subtract the potential flow that is induced by the boundary of the sub-domain from the original flow. S
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A31939
https://ul.qucosa.de/api/qucosa%3A31939/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A31939/attachment/ATT-0/
Autor:
Eichelbaum, Sebastian, Wiebel, Alexander, Hlawitschka, Mario, Anwander, Alfred, Knösche, Thomas, Scheuermann, Gerik
Diffusion tensor images and higher-order diffusion images are the foundation for neuroscience researchers who are trying to gain insight into the connectome, the wiring scheme of the brain. Although modern imaging devices allow even more detailed ana
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A32506
https://ul.qucosa.de/api/qucosa%3A32506/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A32506/attachment/ATT-0/
In the last years a variety of open-source software packages focusing on visualization of human brain data have evolved. Many of them are designed to be used in a pure academic environment and are optimized for certain tasks or special data. The open
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A32505
https://ul.qucosa.de/api/qucosa%3A32505/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A32505/attachment/ATT-0/
In this paper, we present an overview of a number of existing flow visualization methods, developed by the authors in the recent past, that are specifically aimed at integrating and leveraging domain-specific knowledge into the visualization process.
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A32728
https://ul.qucosa.de/api/qucosa%3A32728/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A32728/attachment/ATT-0/
Using topology for feature analysis in flow fields faces several problems. First of all, not all features can be detected using topology based methods. Second, while in flow feature analysis the user is interested in a quantification of feature param
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A32503
https://ul.qucosa.de/api/qucosa%3A32503/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A32503/attachment/ATT-0/
Visualizing flow structures according to the users’ interests provides insight to scientists and engineers. In previous work, a flow structure based on streamline predicates, that examine, whether a streamline has a given property, was defined. Eva
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A31956
https://ul.qucosa.de/api/qucosa%3A31956/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A31956/attachment/ATT-0/
Autor:
Wiebel, Alexander, Scheuermann, Gerik
It is a challenging task to visualize the behavior of time-dependent 3D vector fields. Most of the time an overview of unsteady fields is provided via animations, but, unfortunately, animations provide only transient impressions of momentary flow. In
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A31938
https://ul.qucosa.de/api/qucosa%3A31938/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A31938/attachment/ATT-0/
Autor:
Aehle, Max, Alme, Johan, Barnaföldi, Gergely Gábor, Blühdorn, Johannes, Bodova, Tea, Borshchov, Vyacheslav, Brink, Anthony van den, Eikeland, Viljar, Feofilov, Gregory, Garth, Christoph, Gauger, Nicolas R., Grøttvik, Ola, Helstrup, Håvard, Igolkin, Sergey, Keidel, Ralf, Kobdaj, Chinorat, Kortus, Tobias, Kusch, Lisa, Leonhardt, Viktor, Mehendale, Shruti, Mulawade, Raju Ningappa, Odland, Odd Harald, O'Neill, George, Papp, Gábor, Peitzmann, Thomas, Pettersen, Helge Egil Seime, Piersimoni, Pierluigi, Pochampalli, Rohit, Protsenko, Maksym, Rauch, Max, Rehman, Attiq Ur, Richter, Matthias, Röhrich, Dieter, Sagebaum, Max, Santana, Joshua, Schilling, Alexander, Seco, Joao, Songmoolnak, Arnon, Sudár, Ákos, Tambave, Ganesh, Tymchuk, Ihor, Ullaland, Kjetil, Varga-Kofarago, Monika, Volz, Lennart, Wagner, Boris, Wendzel, Steffen, Wiebel, Alexander, Xiao, RenZheng, Yang, Shiming, Zillien, Sebastian
Objective. Algorithmic differentiation (AD) can be a useful technique to numerically optimize design and algorithmic parameters by, and quantify uncertainties in, computer simulations. However, the effectiveness of AD depends on how "well-linearizabl
Externí odkaz:
http://arxiv.org/abs/2202.05551
We present a method to extract and visualize vortices that originate from bounding walls of three-dimensional time- dependent flows. These vortices can be detected using their footprint on the boundary, which consists of critical points in the wall s
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A31894
https://ul.qucosa.de/api/qucosa%3A31894/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A31894/attachment/ATT-0/
We present, extend, and apply a method to extract the contribution of a subregion of a data set to the global flow. To isolate this contribution, we decompose the flow in the subregion into a potential flow that is induced by the original flow on the
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A31895
https://ul.qucosa.de/api/qucosa%3A31895/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A31895/attachment/ATT-0/