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8th International Conference on Computer Vision Theory and Applications, VISAPP 2013

作者： Sobiecki, André Telea, Alexandru Giraldi, Gilson Neves, Luiz Antonio Pereira Thomaz, Carlos Eduardo Scientific Visualization and Computer Graphics University of Groningen Nijenborgh 9 Groningen Netherlands Department of Computing National Laboratory of Scientific Computation Petŕopolis Brazil Department of Computing Parańa Federal University Curitiba Brazil Department of Artificial Intelligence Applied on Automation University Center of FEI Sao Bernardo do Campo Brazil

ISBN: (纸本)9789898565471

Facial images are often used in applications that need to recognize or identify persons. Many existing facial recognition tools have limitations with respect to facial image quality attributes such as resolution, face position, and artifacts present in the image. In this paper we describe a new low-cost framework for preprocessing low-quality facial images in order to render them suitable for automatic recognition. For this, we first detect artifacts based on the statistical difference between the target image and a set of pre-processed images in the database. Next, we eliminate artifacts by an inpainting method which combines information from the target image and similar images in our database. Our method has low computational cost and is simple to implement, which makes it attractive for usage in low-budget environments. We illustrate our method on several images taken from public surveillance databases, and compare our results with existing inpainting techniques.

关键词： Database systems

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A Maya use case: Adaptable scientific workflows with ADIOS for general relativistic astrophysics 13

A Maya use case: Adaptable scientific workflows with ADIOS f...

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Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2013

作者： Slawinska, Magdalena Bode, Tanja Logan, Jeremy Clark, Michael Zou, Hongbo Kinsey, Matthew Wolf, Matthew Laguna, Pablo Klasky, Scott Georgia Institute of Technology College of Computing Atlanta GA United States Georgia Institute of Technology School of Physics Atlanta GA United States Remote Data Analysis and Visualization Center University of Tennessee Oak Ridge TN United States Oak Ridge National Laboratory Scientific Data Group Oak Ridge TN United States

ISBN: (纸本)9781450321709

There are many challenges in analyzing and visualizing data from current cutting-edge general relativistic astrophysics simulations. Many of the associated tasks are time-consuming with large performance degradation due to the magnitude and complexity of the data. The Adaptable I/O System (ADIOS) is a componentization of the I/O layer that has demonstrated remarkable I/O performance improvements on applications running on leadership class machines while also offering new in-memory "staging" operations for transforming data in-situ. We have been incorporating ADIOS staging technologies into our Maya numerical relativity code based on Cactus infrastructure and Carpet mesh refinement. Incorporating ADIOS into the Maya code is the first step toward enabling a more adaptable Maya workflow. We provide descriptions how we intend to leverage FlexPath (an ADIOS transport method) to provide a richer user experience in real-time visualization and interactive steering. © 2013 by the Association for computing Machinery, Inc.

关键词： visualization

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Topology exploration with hierarchical landscapes

Topology exploration with hierarchical landscapes

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Workshop at SIGGRAPH Asia 2012, WASA 2012

作者： Demir, Dogan Beketayev, Kenes Weber, Gunther H. Bremer, Peer-Timo Pascucci, Valerio Hamann, Bernd Scientific Computing and Imaging Institute School of Computing University of Utah United States Computational Research Divisition Lawrence Berkeley National Laboratory United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory United States Institute for Data Analysis and Visualization Computer Science Department University of California Davis CA United States

ISBN: (纸本)9781450318358

Topological landscapes have been proposed as a visual metaphor for contour trees that does not require an understanding of the theory involved in defining contour trees. The idea is to create a representative terrain with the same topological structure as a given contour tree. This representation exploits the natural human ability to interpret topography and results in an intuitive visualization of otherwise abstract information. However, topological landscapes still suffer from some of the same limitations as traditional contour tree visualization. Most notable is the fact that for complex functions landscapes can quickly become highly complex, exceeding the limits of human comprehension as well as the available computing resources. To address this challenge, we propose a new framework for the dynamic creation and visualization of hierarchical topological landscapes. Our system provides an interactive visualization of complex functions by utilizing a hierarchical decomposition of the contour tree as well as focus+context type interactions. For three dimensional data, we link the landscape display to flexible isosurface extraction in order to correlate terrain features with their corresponding three dimensional counterparts. We demonstrate the utility and versatility of our approach on a variety of both low and high dimensional data sets. © 2012 ACM.

关键词： visualization

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Abstract: Exploring Performance Data with Boxfish

Abstract: Exploring Performance Data with Boxfish

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High Performance computing, Networking, Storage and Analysis (SCC), SC Companion:

作者： Katherine E. Isaacs Aaditya G. Landge Todd Gamblin Peer-Timo Bremer Valerio Pascucci Bernd Hamann Institute for Data Analysis and Visualization Department of Computer Science University of California Davis CA USA Scientific Computing and Imaging Institute University of Utah Salt Lake UT USA Center for Applied Scientific Computing Lawrence Livermore National Laboratories Livermore CA USA

The growth in size and complexity of scaling applications and the systems on which they run pose challenges in analyzing and improving their overall performance. With metrics coming from thousands or millions of processes, visualization techniques are necessary to make sense of the increasing amount of data. To aid the process of exploration and understanding, we announce the initial release of Boxfish, an extensible tool for manipulating and visualizing data pertaining to application behavior. Combining and visually presenting data and knowledge from multiple domains, such as the application's communication patterns and the hardware's network configuration and routing policies, can yield the insight necessary to discover the underlying causes of observed behavior. Boxfish allows users to query, filter and project data across these domains to create interactive, linked visualizations.

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A New Process and Framework for Direct Anonymous Attestation Based on Symmetric Bilinear Maps

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Wuhan University Journal of Natural Sciences 2011年第5期16卷 369-375页

作者： TAN Liang1,2, ZHOU Mingtian3 1. College of Computer/Key Lab of visualization in scientific computing and Virtual Reality of Sichuan, Sichuan Normal University, Chengdu 610066, Sichuan, China 2. Institute of computing Technology, Chinese Academy of Sciences, Beijing 100190, China 3. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, Sichuan, China College of Computer/Key Lab of Visualization in Scientific Computing and Virtual Reality of Sichuan Sichuan Normal University Chengdu Sichuan China Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu Sichuan China

For the problem of the original direct anonymous attestation （DAA） scheme＇s complexity and great time consumption, a new DAA scheme based on symmetric bilinear pairings is presented, which gives a practical solution to ECC-based TPM in protecting the privacy of the TPM. The scheme still includes five procedures or algorithms： Setup, Join, Sign, Verify and Rogue tagging, but gets rid of zero-knowledge proof and takes on a new process and framework, of which the main operations are addition, scalar multiplication and bilinear maps on supersingular elliptic curve systems. Moreover, the scheme adequately utilizes the properties of bilinear maps as well as the signature and verification of the ecliptic curve system itself. Compared with other schemes, the new DAA scheme not only satis- fies the same properties, and shows better simplicity and high effi- ciency. This paper gives not only a detailed security proof of the proposed scheme, but also a careful performance analysis by comparing with the existing DAA schemes.

关键词： direct anonymous attestation bilinear map privacy authentication trusted computing platform trusted platform module

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Topology-based visualization of transformation pathways in complex chemical systems

Topology-based visualization of transformation pathways in c...

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13th Eurographics / IEEE Symposium on visualization, EuroVis 2011

作者： Beketayev, K. Weber, G.H. Haranczyk, M. Bremer, P.-T. Hlawitschka, M. Hamann, B. Computational Research Division Lawrence Berkeley National Laboratory United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory United States Institute for Data Analysis and Visualization Department of Computer Science University of California Davis CA United States

(Figure Presented) Studying transformation in a chemical system by considering its energy as a function of coordinates of the system's components provides insight and changes our understanding of this process. Currently, a lack of effective visualization techniques for high-dimensional energy functions limits chemists to plot energy with respect to one or two coordinates at a time. In some complex systems, developing a comprehensive understanding requires new visualization techniques that show relationships between all coordinates at the same time. We propose a new visualization technique that combines concepts from topological analysis, multi-dimensional scaling, and graph layout to enable the analysis of energy functions for a wide range of molecular structures. We demonstrate our technique by studying the energy function of a dimer of formic and acetic acids and a LTA zeolite structure, in which we consider diffusion of methane. © 2011 The Author(s) Journal compilation © 2011 The Eurographics Association and Blackwell Publishing Ltd. Published by Blackwell Publishing.

关键词： Dimers

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visualization methods for molecular studies on the web platform 10

Visualization methods for molecular studies on the web platf...

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15th International Conference on Web 3D Technology, Web3D 2010

作者： Callieri, Marco Andrei, Raluca Mihaela Di Benedetto, Marco Zoppè, Monica Scopigno, Roberto Visual Computing Lab. ISTI-CNR France Scuola Normale Superiore Pisa Scientific Visualization Unit IFC-CNR France Scientific Visualization Unit IFC-CNR Reunion

ISBN: (纸本)9781450302098

This work presents a technical solution for the creation of visualization schemes for biological data on the web platform. The proposed technology tries to overcome the standard approach of molecular/biochemical visualization tools, which generally provide a fixed set of visualization methods. This goal is reached by exploiting the capabilities of the WebGL API and the high level objects of the SpiderGL library, these features will give the users the possibility to implement an arbitrary visualization scheme, while keeping simple the implementation process. To better explain the philosophy and capabilities of this technology, we will describe the implementation of the web version of a specific visualization method, demonstrating how it can deal with both the requirements of scientific rigor in manipulating the data and the necessity to produce flexible and appealing rendering styles. © 2010 ACM.

关键词： Molecular biology

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Effect of rotor wake structure on fan interaction noise

Effect of rotor wake structure on fan interaction noise

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作者： Maunus, Jeremy Grace, Sheryl M. Sondak, Douglas L. Boston University Boston MA 02215 United States Department of Mechanical Engineering Denmark Scientific Computing and Visualization United States

ISBN: (纸本)9781600867446

The prediction of noise produced by fan-wake interaction with the fan exit guide vane (FEGV) is studied. The acoustic response of the FEGV is computed using LINFLUX, a three-dimensional, frequency-domain, linearized Euler solver for turbomachinery. The research focuses on tonal noise predictions for the advanced ducted propulsor (ADP) and the source diagnostic test (SDT) scaled turbofan rigs. The sensitivity of the 2BPF noise prediction to the inflow specification is quantified. Inflow models are generated based on both experimental and computational fan-wake data. The computational data are provided by four different Reynolds-Averaged Navier Stokes (RANS) computational fluid dynamic (CFD) solutions. When compared to experimental results, the computations provide comparable mean flow solutions but overpredict the wake deficit. The CFD solutions differ more for higher wheel speed cases, especially in the tip region. It is shown that inputs generated from the various experimental and CFD data also differ, but that these differences weakly impact the prediction of the sound power level (PWL) at the lower wheel speed. At the higher wheel speeds, where the differences in the inputs near the tip are greatest, the PWL reflects this difference. For a given wheel speed, the predictions using input values based on the different CFD data and the experimental wake data agree to within 5 dB. However, they vary from the experimentally measured acoustic PWLs by up to 14 dB. © 2010 by J. Maunus and S. Grace.

关键词： Computational fluid dynamics

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Large data visualization on distributed memory multi-GPU clusters 2

Large data visualization on distributed memory multi-GPU clu...

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2nd ACM SIGGRAPH / Eurographics on High-Performance Graphics, HPG 2010

作者： Fogal, Thomas Childs, Hank Shankar, Siddharth Krüger, Jens Bergeron, R. Daniel Hatcher, Philip Scientific Computing and Imaging Institute University of Utah United States Department of Computer Science University of New Hampshire United States Lawrence Berkeley National Laboratory United States Interactive Visualization and Data Analysis Group DFKI Germany

ISBN: (纸本)9783905674262

Data sets of immense size are regularly generated on large scale computing resources. Even among more traditional methods for acquisition of volume data, such as MRI and CT scanners, data which is too large to be effectively visualized on standard workstations is now commonplace. One solution to this problem is to employ a 'visualization cluster,' a small to medium scale cluster dedicated to performing visualization and analysis of massive data sets generated on larger scale supercomputers. These clusters are designed to fit a different need than traditional supercomputers, and therefore their design mandates different hardware choices, such as increased memory, and more recently, graphics processing units (GPUs). While there has been much previous work on distributed memory visualization as well as GPU visualization, there is a relative dearth of algorithms which effectively use GPUs at a large scale in a distributed memory environment. In this work, we study a common visualization technique in a GPU-accelerated, distributed memory setting, and present performance characteristics when scaling to extremely large data sets. The Eurographics Association 2010.

关键词： Graphics processing unit

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Large Data visualization on Distributed Memory Multi-GPU Clusters 10

Large Data Visualization on Distributed Memory Multi-GPU Clu...

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Conference on High-performance Graphics

作者： Thomas Fogal Hank Childs Siddharth Shankar Jens Kriiger R. Daniel Bergeron Philip Hatcher Scientific Computing & Imaging Institute University of UtahDepartment of Computer Science University of New Hampshire Lawrence Berkeley National Laboratory Scientific Computing & Imaging Institute University of Utah Interactive Visualization and Data Analysis Group DFKI Germany Department of Computer Science University of New Hampshire

ISBN: (纸本)9781617827242

关键词： distributed memory Data visualisation visualization Dataset supercomputer Representation of data performance characteristics

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