Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Kenneth I. Joy"'
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 22:2331-2342
Visualization and analysis techniques play a key role in the discovery of relevant features in ensemble data. Trends, in the form of persisting commonalities or differences in time-varying ensemble datasets, constitute one of the most expressive feat
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 21:68-80
Particle tracing in time-varying flow fields is traditionally performed by numerical integration of the underlying vector field. This procedure can become computationally expensive, especially in scattered, particle-based flow fields, which complicat
Autor:
Harald Obermaier, Kenneth I. Joy
Publikováno v:
Obermaier, Harald; & Joy, Kenneth I.(2014). Future Challenges for Ensemble Visualization. IEEE Computer Graphics and Applications, 34. UC Davis: Institute for Data Analysis and Visualization. Retrieved from: http://www.escholarship.org/uc/item/9v9799q1
The simulation of complex events is a challenging task and often requires careful selection of simulation parameters. With the availability of vast computation resources, it has become possible to run several alternative parameter settings or simulat
Autor:
Hank Childs, Kevin Bensema, Luke J. Gosink, Michael J. Henry, Trenton C. Pulsipher, Harald Obermaier, Kenneth I. Joy
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 19:2703-2712
Numerical ensemble forecasting is a powerful tool that drives many risk analysis efforts and decision making tasks. These ensembles are composed of individual simulations that each uniquely model a possible outcome for a common event of interest: e.g
Autor:
J. A. Peterson, Simon Schröder, Louise H. Kellogg, Hans Hagen, Harald Obermaier, Kenneth I. Joy
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 18:2198-2207
A fundamental characteristic of fluid flow is that it causes mixing: introduce a dye into a flow, and it will disperse. Mixing can be used as a method to visualize and characterize flow. Because mixing is a process that occurs over time, it is a 4D p
Publikováno v:
PacificVis
Vector field topology is one of the most powerful flow visualization tools, because it can break down huge amounts of data into a compact, sparse, and easy to read description with little information loss. It suffers from one main drawback though: Th
Autor:
Mehmet Akif Gulsun, Kenneth I. Joy, Christoph Garth, H. Krishnan, J. Guhring, Andreas Greiser
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 18:966-977
Many flow visualization techniques, especially integration-based methods, are problematic when the measured data exhibit noise and discretization issues. Particularly, this is the case for flow-sensitive phase-contrast magnetic resonance imaging (PC-
Publikováno v:
Information Visualization. 11:43-59
Moment tensors are indefinite tensors derived from seismic measurements and encode important information about earthquakes and surface displacement in the earth's mantle. Appropriate analysis of scattered moment tensor fields requires multi-scale vis
Publikováno v:
IEEE transactions on visualization and computer graphics. 22(10)
Advances in computational power now enable domain scientists to address conceptual and parametric uncertainty by running simulations multiple times in order to sufficiently sample the uncertain input space. While this approach helps address conceptua
Autor:
Kenneth I. Joy, Harald Obermaier
Publikováno v:
IEEE transactions on visualization and computer graphics. 21(12)
Effective display and visual analysis of complex 3D data is a challenging task. Occlusions, overlaps, and projective distortions—as frequently caused by typical 3D rendering techniques—can be major obstacles to unambiguous and robust data analysi