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Toward a query language on simulation mesh data: an object-oriented approach

Toward a query language on simulation mesh data: an object-o...

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International Conference on Database Systems for Advanced Applications

作者： B.S. Lee R.R. Snapp R. Musick Department of Computer Science University of Vermont Burlington VT USA Center for Applied Scientific Computing Lawrence Livemore National Laboratory Livermore CA USA

ISBN: (纸本)0769509967

As simulation is gaining popularity as an inexpensive means of experimentation in diverse fields of industry and government, the attention to the data generated by scientific simulation is also increasing. scientific simulation generates mesh data, i.e. data configured in a grid structure, in a sequence of time steps. Its model is complex - understanding it involves mathematical topology and geometry in addition to fields (in the relational sense). Moreover, there is no query language developed on mesh data at all. We develop a comprehensive model of mesh data in an object-oriented manner, propose a set of primitive algebraic operators, show their object-oriented implementation and demonstrate that the well-known object query language OQL (from the ODMG) is powerful enough to express queries on mesh data, whether the queries are on a mesh topology, geometry, fields, or a combination of them. Finally, we discuss some physical implementation issues that are pertinent to executing queries efficiently.

关键词： Database languages Object oriented modeling Computational modeling Topology Geometry Medical simulation Data structures computer simulation scientific computing Mesh generation

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Interactive display of surfaces using subdivision surfaces and wavelets

Interactive display of surfaces using subdivision surfaces a...

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Spring Conference on computer Graphics

作者： M.A. Duchaineau M. Bertram S. Porumbescu B. Hamann K.I. Joy Center for Applied Scientific Computing Lawrence Livemore National Laboratory Livermore CA USA FB Informatik Universitaet Kaiserslautern Kaiserslautern Germany Center for Image Processing and Integrated Computing Department of Computer Science University of California USA

Complex surfaces and solids are produced by large-scale modeling and simulation activities in a variety of disciplines. Productive interaction with these simulations requires that these surfaces or solids should be viewable at interactive rates - yet many of these surfaces/solids can contain hundreds of millions of polygons/polyhedra. Interactive display of these objects requires compression techniques to minimize storage, and fast view-dependent triangulation techniques to drive the graphics hardware. In this paper, we review recent advances in subdivision-surface wavelet compression and optimization that can be used to provide a framework for both compression and triangulation. These techniques can be used to produce suitable approximations of complex surfaces of arbitrary topology and can be used to determine suitable triangulations for display. The techniques can be used in a variety of applications in computer graphics, computer animation and visualization.

关键词： Solid modeling Large-scale systems Drives Hardware Topology computer displays Application software computer graphics Animation Visualization

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Wavelet representation of contour sets 01

Wavelet representation of contour sets

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IEEE Conference on Visualization

作者： M. Bertram D.E. Laney M.A. Duchaineau C.D. Hansen B. Hamann K.I. Joy Department of Computer Science University of Kaiserslautern Kaiserslautern Germany SCI Institute University of Utah Salt Lake UT USA Center for Applied Scientific Computing CASC Lawrence Livemore National Laboratory Livermore CA USA Center for Image Processing and Integrated Computing CIPIC Department of Computer Science University of California Davis CA USA

ISBN: (纸本)0780372018

We present a new wavelet compression and multiresolution modeling approach for sets of contours (level sets). In contrast to previous wavelet schemes, our algorithm creates a parametrization of a scalar field induced by its contours and compactly stores this parametrization rather than function values sampled on a regular grid. Our representation is based on hierarchical polygon meshes with subdivision connectivity whose vertices are transformed into wavelet coefficients. From this sparse set of coefficients, every set of contours can be efficiently reconstructed at multiple levels of resolution. When applying lossy compression, introducing high quantization errors, our method preserves contour topology, in contrast to compression methods applied to the corresponding field function. We provide numerical results for scalar fields defined on planar domains. Our approach generalizes to volumetric domains, time-varying contours, and level sets of vector fields.

关键词： Image coding Data visualization Image reconstruction Wavelet coefficients Topology Isosurfaces Data mining Solid modeling Wavelet transforms Quantization

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Model-based nonrigid motion analysis using natural feature adaptive mesh

Model-based nonrigid motion analysis using natural feature a...

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15th International Conference on Pattern Recognition, ICPR 2000

作者： Zhang, Yong Goldgof, Dmitry B. Sarkar, Sudeep Tsap, Leonid V. Department of Computer Science and Engineering University of South Florida TampaFL33620 United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory LivermoreCA94551 United States

ISBN: (纸本)0769507506

The success of nonrigid motion analysis using physical finite element model is dependent on the mesh that characterizes the object's geometric structure. We suggest a deformable mesh adapted to the natural features of images. The adaptive mesh requires much fewer number of nodes than the fixed mesh which was used in our previous work. We demonstrate the higher efficiency of the adaptive mesh in the context of estimating burn scar elasticity relative to normal skin elasticity using the observed 2D image sequence. Our results show that the scar assessment method based on the physical model using natural feature adaptive mesh can be applied to images which do not have artificial markers. © 2000 IEEE.

关键词： Elasticity

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Multiresolution techniques for interactive texture-based rendering of arbitrarily oriented cutting planes

Multiresolution techniques for interactive texture-based ren...

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2nd Joint Eurographics - IEEE TCVG Symposium on Visualization, VisSym 2000

作者： LaMar, Eric Duchaineau, Mark A. Hamann, Bernd Joy, Kenneth I. Center for Image Processing and Integrated Computing Department of Computer Science University of California DavisCA95616-8562 United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory Box 808 L-561 LivermoreCA94551 United States

ISBN: (纸本)3211835156

We present a multiresolution technique for interactive texture based rendering of arbitrarily oriented cutting planes for very large data sets. This method uses an adaptive scheme that renders the data along a cutting plane at different resolutions: higher resolution near the point-of-interest and lower resolution away from the point-of-interest. The algorithm is based on the segmentation of texture space into an octree, where the leaves of the tree define the original data and the internal nodes define lower-resolution versions. Rendering is done adaptively by selecting high-resolution cells close to a center of attention and low-resolution cells away from it. We limit the artifacts introduced by this method by blending between different levels of resolution to produce a smooth image. This technique can be used to produce viewpoint-dependent renderings. © 2000 Eurographics Association. All rights reserved.

关键词： Trees (mathematics)

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Multiscale combination of physically-based registration and deformation modeling

Multiscale combination of physically-based registration and ...

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： L.V. Tsap D.B. Goldgof S. Sarkar Center for Applied Scientific Computing Lawrence Livermore National Laboratory CA USA Department of Computer Science and Engineering University of South Florida FL USA

In this paper we present a novel multiscale approach to recovery of nonrigid motion from sequences of registered intensity and range images. The main idea of our approach is that a finite element (FEM) model can naturally handle both registration and deformation modeling using a single model-driving strategy. The method includes a multiscale iterative algorithm based on analysis of the undirected Hausdorff distance to recover correspondences. The method is evaluated with respect to speed, accuracy, and noise sensitivity. Advantages of the proposed approach are demonstrated using man-made elastic materials and human skin motion. Experiments with regular grid features are used for performance comparison with a conventional approach (separate snakes and FEM models). It is shown that the new method does not require a grid and can adapt the model to available object features.

关键词： Deformable models Motion analysis Material properties Humans Laboratories Biological system modeling Tracking Capacitive sensors computer science Iterative algorithms

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Model-based nonrigid motion analysis using natural feature adaptive mesh

Model-based nonrigid motion analysis using natural feature a...

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International Conference on Pattern Recognition

作者： Yong Zhang D.B. Goldgof S. Sarkar L.V. Tsap Department of Computer Science & Engineering University of South Florida Tampa FL USA Center for Applied Scientific Computing Lawrence Livemore National Laboratory Livermore CA USA

ISBN: (纸本)0769507506

The success of nonrigid motion analysis using physical finite element model is dependent on the mesh that characterizes the object's geometric structure. We suggest a deformable mesh adapted to the natural features of images. The adaptive mesh requires much fewer number of nodes than the fixed mesh which was used in the work by Tsap et al. (1998). We demonstrate the higher efficiency of the adaptive mesh in the context of estimating burn scare elasticity relative to normal skin elasticity using the observed 2D image sequence. Our results show that the scar assessment method based on the physical model using natural feature adaptive mesh can be applied to images which do not have artificial markers.

关键词： Motion analysis Predictive models Motion estimation Numerical models Layout Mesh generation Image reconstruction Elasticity Tracking computer science

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Recognition of antegrade and retrograde atrial activation patterns using hybrid wavelet neural network schemes

Recognition of antegrade and retrograde atrial activation pa...

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computers in Cardiology (CinC)

作者： D. Strauss J. Jung A. Rieder Applied Mathematics and Computer Science University of Mannheim Germany Internal Medicine III University Hospital Homburg Saar Germany Institute for Scientific Computing and Mathematical Modeling University of Karlsruhe Germany

Currently used arrhythmia recognition algorithms in implantable cardioverter-defibrillators often fail in the discrimination of ventricular tachycardia with I:I retrograde conduction from sinus tachycardia. As new approach to solve this problem, the authors have developed a hybrid, wavelet-neural network scheme for a recognition of antegrade atrial activation (AA) and retrograde atrial activation (RA) patterns in endocardial electrograms (EEs). Bipolar EEs representing AA and RA were obtained during an electrophysiological examination. Consecutive beats within data segments of 10 s duration were selected. Adapted wavelet packet decompositions were applied to extract discriminating scale features in selected beats representing AA and RA. A feed forward neural network was utilized for classifying the activation patterns based on the extracted feature vectors. With the developed hybrid wavelet-neural network scheme a recognition of all analyzed AA and RA episodes was achieved.

关键词： Pattern recognition Neural networks Finite impulse response filter Filter bank Cardiology Data mining Feature extraction Wavelet packets Medical treatment Electrodes

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Bicubic subdivision-surface wavelets for large-scale isosurface representation and visualization 00

Bicubic subdivision-surface wavelets for large-scale isosurf...

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Proceedings of the conference on Visualization '00

作者： Martin Bertram Mark A. Duchaineau Bernd Hamann Kenneth I. Joy Center for Applied Scientific Computing (CASC) Lawrence Livermore National Laboratory P.O. Box 808 L-561 Livermore CA and Center for Image Processing and Integrated Computing (CIPIC) Department of Computer Science University of California at Davis Davis CA Center for Applied Scientific Computing (CASC) Lawrence Livermore National Laboratory P.O. Box 808 L-561 Livermore CA Center for Image Processing and Integrated Computing (CIPIC) Department of Computer Science University of California at Davis Davis CA

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Exploiting hierarchy in parallel computer networks to optimize collective operation performance

Exploiting hierarchy in parallel computer networks to optimi...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： N.T. Karonis B.R. de Supinski I. Foster W. Gropp E. Lusk J. Bresnahan High Performance Computing L ab or atory Department of Computer Science Northern Illinois University DeKalb IL USA Center for Applied Scientific Computing Lawrence Livemore National Laboratory Livermore CA USA University of Chicago Chicago IL USA Argonne National Laboratory Argonne IL USA Mathematics and Computer Science Division Argonne National Laboratory Argonne IL USA

The efficient implementation of collective communication operations has received much attention. Initial efforts modeled network communication and produced "optimal" trees based on those models. However, the models used by these initial efforts assumed equal point-to-point latencies between any two processes. This assumption is violated in heterogeneous systems such as clusters of SMPs and wide-area "computational grids", and as a result, collective operations that utilize the trees generated by these models perform suboptimally. In response, more recent work has focused on creating topology-aware trees for collective operations that minimize communication across slower channels (e.g., a wide-area network). While these efforts have significant communication benefits, they all limit their view of the network to only two layers. We present a strategy based upon a multilayer view of the network. By creating multilevel topology trees we take advantage of communication cost differences at every level in the network. We used this strategy to implement topology-aware versions of several MPI collective operations in MPICH-G, the Globus-enabled version of the popular MPICH implementation of the MPI standard. Using information about topology discovered by Globus, we construct these topology-aware trees automatically during execution, thus freeing the MPI application programmer from having to write special files or functions to describe the topology to the MPICH library. We present results demonstrating the advantages of our multilevel approach by comparing it to the default (topology-unaware) implementation provided by MPICH and a topology-aware two-layer implementation.

关键词： Intelligent networks computer networks Chromium

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