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pro vyhledávání: '"Jamison Daniel"'
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Autor:
Jamison, Daniel
Publikováno v:
Renaissance Quarterly, 2016 Jan 01. 69(3), 1112-1113.
Externí odkaz:
https://www.jstor.org/stable/26559990
Publikováno v:
IEEE BigData
Data driven science, accompanied by the explosion of petabytes of data, has called into need dedicated analytics computing resources. Dedicated analytics clusters require large capital outlays due to their expensive hardware requirements. Additionall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43487c575523df677d2f6bc3f9b26f90
https://doi.org/10.1109/bigdata.2016.7840861
https://doi.org/10.1109/bigdata.2016.7840861
Publikováno v:
2016 Workshop on Immersive Analytics (IA).
The ORNL Spallation Neutron Source (SNS) provides the most intense pulsed neutron beams in the world for scientific research and development across a broad range of disciplines. SNS experiments produce large volumes of complex data that are analyzed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1494357cb3c262d37e04d1dfc3c8b09
https://doi.org/10.1109/immersive.2016.7932381
https://doi.org/10.1109/immersive.2016.7932381
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 14:1467-1474
Extracting and visualizing temporal patterns in large scientific data is an open problem in visualization research. First, there are few proven methods to flexibly and concisely define general temporal patterns for visualization. Second, with large t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66b80389e94c4a593e0428db60697b46
https://doi.org/10.1109/tvcg.2008.184
https://doi.org/10.1109/tvcg.2008.184
Autor:
Steven Hahn, Chad A. Steed, Jamison Daniel, Thomas Proffen, Michael A. Matheson, Margaret Drouhard
Publikováno v:
IEEE BigData
In this paper, we propose strategies and objectives for immersive data visualization with applications in materials science using the Oculus Rift virtual reality headset. We provide background on currently available analysis tools for neutron scatter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6db48f80d821d06eb9ea53380c2e318c
https://doi.org/10.1109/bigdata.2015.7364040
https://doi.org/10.1109/bigdata.2015.7364040
Publikováno v:
Journal of Physics: Conference Series. 46:550-555
Computational astrophysics and climate dynamics are two principal application foci at the Center for Computational Sciences (CCS) at Oak Ridge National Laboratory (ORNL). We identify a dataset frontier that is shared by several SciDAC computational s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f29b1a4222f5ffc917c3615fbaebcdc
https://doi.org/10.1088/1742-6596/46/1/076
https://doi.org/10.1088/1742-6596/46/1/076
Autor:
Sandler, Louise1, Jamison, Daniel, Deliser, Oswald, Cohen, Leonard, Emkey, Kenneth, Keith, Helen
Publikováno v:
Exceptional Children. Nov1972, Vol. 39 Issue 3, p201-208. 8p. 6 Charts.
Autor:
Auroop R. Ganguly, David J. Erickson, Forrest M. Hoffman, Eric Neilson, Lesley Ott, Steven Pawson, Melissa R. Allen, Jamison Daniel
Publikováno v:
ICDM Workshops
We present an example of a simulated global climate model that is intended to stream real-time NASA data into the geophysical and climate science and assessment community over the next 5-10 years. It is known that the 3-D atmospheric wave structures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b76bf62e2d4856454f69cf4848649618
https://doi.org/10.1109/icdmw.2009.109
https://doi.org/10.1109/icdmw.2009.109
Publikováno v:
IEEE transactions on visualization and computer graphics. 14(6)
Extracting and visualizing temporal patterns in large scientific data is an open problem in visualization research. First, there are few proven methods to flexibly and concisely define general temporal patterns for visualization. Second, with large t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f833779ce80a67fa088f1a8191f20e32
https://pubmed.ncbi.nlm.nih.gov/18988998
https://pubmed.ncbi.nlm.nih.gov/18988998