By Georgi Graschew, Theo A. Roelofs, Stefan Rakowsky (auth.), Peter M. A. Sloot, Alfons G. Hoekstra, Thierry Priol, Alexander Reinefeld, Marian Bubak (eds.)
This booklet constitutes the refereed court cases of the ecu Grid convention, EGC 2005, held in Amsterdam, The Netherlands in February 2005. concentrating on all elements of Grid computing and bringing jointly contributors from learn and undefined, EGC 2005 used to be a follow-up of the AcrossGrids meetings held in Santiago de Compostela, Spain (2003) and in Nicosia, Cyprus (2004).
The 121 revised papers awarded - together with the contribution of 3 invited audio system - have been conscientiously reviewed and chosen from over one hundred eighty submissions for inclusion within the booklet and handle the subsequent subject matters: functions, structure and infrastructure, source agents and administration, grid prone and tracking, functionality, protection, workflow, facts and data administration, and scheduling fault-tolerance and mapping.
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Extra info for Advances in Grid Computing - EGC 2005: European Grid Conference, Amsterdam, The Netherlands, February 14-16, 2005, Revised Selected Papers
McKay, “A method for registration of 3D shapes,” IEEE Trans Pattern Anal Machine Intell, vol. 14, no. 2, pp. 23955, Feb. 1992. it Abstract. The implementation of GEMS, a Grid-based molecular simulator, on the EGEE Grid environment is presented. We discuss the main issues related to the porting of the application on the EGEE Grid platform and the creation of the VO CompChem for the community of Computational Chemists. The real-time visualization of some reaction’s magnitudes on Virtual Monitors is also discussed.
The shape rendered in wireframe corresponds to the fitted shape and the surfaced shape, to the manual one 14 S. Ordas et al. Fig. 4. View across slices of the fitted shape mance (in fact, the autolandmarked shape model presented in ). It is also indicated between brackets the percentage of improvement achieved by the optimization with respect to previously achieved segmentation accuracy using ad hoc settings. The third row corresponds to the error that the shape model would have for reconstructing the shapes (either ED or ES) if their exact positions were known.
A. J. Niessen, “Automatic construction of multiple-object three-dimensional statistical shape models: Application to cardiac modeling,” IEEE Trans Med Imaging, vol. 21, no. 9, pp. 11511166, 2002. 7. S. Ordas, L. Boisrobert, M. Bossa, M. Laucelli, M. Huguet, S. F. Frangi, “Grid-enabled automatic construction of a two-chamber cardiac PDM from a large database of dynamic 3D shapes,” in IEEE International Symposium of Biomedical Imaging, 2004, pp. 416419. 8. C. G. S. C. F. Lelieveldt, “A 3D-ASM driven by fuzzy inference: Application to cardiac CT and MR,” IEEE Trans Med Imaging, 2005, submitted.
Advances in Grid Computing - EGC 2005: European Grid Conference, Amsterdam, The Netherlands, February 14-16, 2005, Revised Selected Papers by Georgi Graschew, Theo A. Roelofs, Stefan Rakowsky (auth.), Peter M. A. Sloot, Alfons G. Hoekstra, Thierry Priol, Alexander Reinefeld, Marian Bubak (eds.)