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Computers and Graphics (Pergamon) 2007年第3期31卷 314-315页

作者： Kohlhammer, Jörn Keim, Daniel Ebert, David Fraunhoferstr. 5 64283 Darmstadt Germany Information Visualisation and Data Analysis University of Konstanz Universitätsstraße 10 78457 Konstanz Germany School of Electrical and Computer Engineering and Regional Visualization Analytics Center Purdue University 465 Northwestern Avenue West Lafayette IN 47907 United States

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Topology-based simplification for feature extraction from 3D scalar fields

Topology-based simplification for feature extraction from 3D...

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VIS 05: IEEE visualization 2005, Proceedings

作者： Gyulassy, Attila Natarajan, Vijay Pascucci, Valerio Bremer, Peer-Timo Hamann, Bernd Institute for Data Analysis and Visualization Dept. of Computer Science University of California Davis Center for Applied Scientific Computing Lawrence Livermore National Laboratory Dept. of Computer Science University of Illinois Urbana Champaign

ISBN: (纸本)0780394623

In this paper, we present a topological approach for simplifying continuous functions defined on volumetric domains. We introduce two atomic operations that remove pairs of critical points of the function and design a combinatorial algorithm that simplifies the Morse-Smale complex by repeated application of these operations. The Morse-Smale complex is a topological data structure that provides a compact representation of gradient flow between critical points of a function. Critical points paired by the Morse-Smale complex identify topological features and their importance. The simplification procedure leaves important critical points untouched, and is therefore useful for extracting desirable features. We also present a visualization of the simplified topology. © 2005 IEEE.

关键词： Feature extraction

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PointCloudXplore: Visual analysis of 3D Gene Expression data Using Physical Views and Parallel Coordinates

PointCloudXplore: Visual Analysis of 3D Gene Expression Data...

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8th Joint Eurographics/IEEE VGTC Symposium on visualization, EuroVis 2006

作者： Rübel, O. Weber, G.H. Keränen, S.V.E. Fowlkes, C.C. Hendriks, C.L. Luengo Simirenko, L. Shah, N.Y. Eisen, M.B. Biggin, M.D. Hagen, H. Sudar, D. Malik, J. Knowles, D.W. Hamann, B. International Research Training Group "Visualization of Large and Unstructured Data Sets" University of Kaiserslautern Germany Institute for Data Analysis and Visualization University of California DavisCA United States Life Sciences and Genomics Divisions Lawrence Berkeley National Laboratory CA United States Computer Science Division University of California BerkeleyCA United States

ISBN: (纸本)3905673312

To allow a more rigorous understanding of animal gene regulatory networks, the Berkeley Drosophila Transcription Network Project (BDTNP) has developed a suite of methods that support quantitative, computational analysis of three-dimensional (3D) gene expression patterns with cellular resolution in early Drosophila embryos. Here we report the first components of a visualization tool, PointCloudXplore, that allows the relationships between different gene's expression to be analyzed using the BDTNP's datasets. PointCloudXplore uses the established visualization techniques of multiple views, brushing, and linking to support the analysis of high-dimensional datasets that describe many genes' expression. Each of the views in PointCloudXplore shows a different gene expression data property. Brushing is used to select and emphasize data associated with defined subsets of embryo cells within a view. Linking is used to show in additional views the expression data for a group of cells that have first been highlighted as a brush in a single view, allowing further data subset properties to be determined. In PointCloudXplore, physical views of the data are linked to parallel coordinates. Physical views show the spatial relationships between different genes' expression patterns within the embryo. Parallel coordinates, on the other hand, show only some features of each gene's expression, but allow simultaneous analysis of data for many more genes than would be possible in a physical view. We have developed several extensions to standard parallel coordinates to facilitate brushing the visualization of 3D gene expression data. © The Eurographics Association 2006.

关键词： visualization

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Opposites attract: Computational and quantitative outreach through artistic expressions 13

Opposites attract: Computational and quantitative outreach t...

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Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2013

作者： Szczepański, Amy F. Yost, Christal Magden, Norman Meaney, Evan Staples, Carolyn I. Remote Data Analysis and Visualization Center Electrical Engineering and Computer Science University of Tennessee United States National Institute for Computational Sciences University of Tennessee United States School of Art University of Tennessee United States

ISBN: (纸本)9781450321709

Staff from the University of Tennessee's Joint institute for Computational Sciences, National Institute for Computational Sciences, and Remote data analysis and visualization Center have teamed up with faculty from UT's School of Art to engage with students, the public, and the research community on a number of projects that connect the arts with the science and computing disciplines. These collaborations have led to coursework for students, videos about scientific discovery, and the production of novel, computer- mediated artwork. Both the arts and the sciences have gained from these collaborations. © 2013 by the Association for Computing Machinery, Inc.

关键词： visualization

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visualization in Medicine and Life Sciences III 1

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丛书名： Mathematics and visualization

1000年

作者： Lars Linsen Bernd Hamann Hans-Christian Hege

ISBN: (数字)9783319245232

ISBN: (纸本)9783319245218;9783319796406

The book discusses novel visualization techniques driven by the needs in medicine and life sciences as well as new application areas and challenges for visualization within these fields. It presents ideas and concepts for visual analysis of data from scientific studies of living organs or to the delivery of healthcare. Target scientific domains include the entire field of biology at all scales - from genes and proteins to organs and populations - as well as interdisciplinary research based on technological advances such as bioinformatics, biomedicine, biochemistry, or biophysics. Moreover, they comprise the field of medicine and the application of science and technology to healthcare problems. This book does not only present basic research pushing the state of the art in the field of visualization, but it also documents the impact in the fields of medicine and life sciences.

关键词： visualization User Interfaces and Human Computer Interaction Computer Graphics Image Processing and Computer Vision

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Separating the wheat from the chaff: Identifying relevant and similar performance data with visual analytics 2

Separating the wheat from the chaff: Identifying relevant an...

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2nd Workshop on Visual Performance analysis, VPA 2015

作者： Von Rüden, Laura Hermanns, Marc-André Behrisch, Michael Keim, Daniel Mohr, Bernd Wolf, Felix GSC Computational Engineering Parallel Programming TU Darmstadt Germany JARA-HPC RWTH Aachen University Germany Data Analysis and Visualization University of Konstanz Germany Jülich Supercomputing Centre Forschungszentrum Jülich Germany

ISBN: (纸本)9781450340137

Performance-analysis tools are indispensable for understanding and optimizing the behavior of parallel programs running on increasingly powerful supercomputers. However, with size and complexity of hardware and software on the rise, performance data sets are becoming so voluminous that their analysis poses serious challenges. In particular, the search space that must be traversed and the number of individual performance views that must be explored to identify phenomena of interest becomes too large. To mitigate this problem, we use visual analytics. Specifically, we accelerate the analysis of performance profiles by automatically identifying (1) relevant and (2) similar data subsets and their performance views. We focus on views of the virtual-process topology, showing that their relevance can be well captured with visual-quality metrics and that they can be further assigned to topical groups according to their visual features. A case study demonstrates that our approach helps reduce the search space by up to 80%. Copyright 2015 ACM.

关键词： Supercomputers

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A tale of two systems: Flexibility of usage of Kraken and Nautilus at the National Institute for Computational Sciences

A tale of two systems: Flexibility of usage of Kraken and Na...

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1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the Campus and Beyond, XSEDE12

作者： Szczepański, Amy F. Huang, Jian Ahern, Sean Fahey, Mark R. Remote Data Analysis and Visualization Center Electrical Engineering and Computer Science University of Tennessee 1520 Middle Drive Knoxville TN 37996-2250 United States Remote Data Analysis and Visualization Center National Institute for Computational Sciences University of Tennessee PO Box 2008 Oak Ridge TN 37831-6173 United States National Institute for Computational Sciences Industrial and Information Engineering University of Tennessee PO Box 2008 Oak Ridge TN 37831-6173 United States

ISBN: (纸本)9781450316026

The National Institute for Computational Sciences (NICS) at the University of Tennessee currently operates two computational resources for the eXtreme Science and Engineering Discovery Environment (XSEDE), Kraken, a 112,896-core Cray XT5 for general purpose computation, and Nautilus, a 1,024-core SGI Altix UV 1000 for data analysis and visualization. We analyze a year's worth of accounting logs for Kraken and Nautilus to understand how users take advantage of these two systems and how analysis jobs differ from general HPC computation We find that researchers take advantage of the flexibility offered by these systems, running a wide variety of jobs at many scales and using the full range of core counts and available memory for their jobs. The jobs on Nautilus tend to use less walltime and more memory per core than the jobs run on Kraken. Additionally, researchers are more likely to run interactive jobs on Nautilus than on Kraken. Small jobs experience a good quality of service on both systems. This information can be used for the management and allocation of time on existing HPC and analysis systems as well as for planning for deploying future HPC and analysis systems. © 2012 ACM.

关键词： data visualization

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Color Measurement and analysis of Unpacked Jujube in Shelf Life 11th

Color Measurement and Analysis of Unpacked Jujube in Shelf L...

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11th China Academic Conference on Printing and Packaging, CACPP 2020

作者： Yao, Danyang Yuan, Jiangping Xu, Xiangyang Chen, Guangxue State Key Laboratory of Pulp and Paper Engineering South China University of Technology Guangzhou China Institute for Visualization and Data Analysis Karlsruhe Institute of Technology Karlsruhe Germany School of Media and Communication Shenzhen Polytechnic Shenzhen China

ISBN: (纸本)9789811605024

Color attribute is an important indicator for the perception and evaluation of food quality, especially for unpacked valuable fruits. To this end, the color and weight evaluation of vitamin C enriched jujubes was carried out at constant temperature and humidity over the entire shelf life to provide a new pathway for their dynamic quality evaluation. Four unpackaged jujubes were examined with five random color points on the surface during the 11-days shelf-life. Spectral and colorimetric values of each jujube were recorded and correlated with its dynamic weight loss. Final, results showed that there was a significant linear correlation between the weight loss and the average chromatic aberration for each unpacked jujube. Meanwhile, the variable intervals of the spectral distribution were obviously distributed in the 630–690 nm band. Thus, specific spectral compensation can be verified for unpacked jujubes display in shelf life. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Fruits

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Dense flow visualization using wave interference

Dense flow visualization using wave interference

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Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Victor Matvienko Jens Krüger Interactive Visualization and Data Analysis Group (IVDA) Germany DFKI IVDA Intel VCI and SCI Germany

Dense flow visualization and streamlines are among the most popular methods in numerous applications of scientific visualization. Because very few works synthesize the benefits of these approaches into one framework, we propose a hybrid technique. In this work, we present a novel method of dense flow visualization that produces high contrast images (typical of streamline approaches), with manageable spatial frequency. We begin by introducing a notion of a streamline thickness function and thickness wave sources, and then compute the resulting image as a coherent wave interference pattern. We show that this problem is equivalent to finding the dominant eigenvector of a sparse matrix and employ the power iterations numerical scheme to demonstrate an efficient parallel implementation. We conclude by discussing possible quality improvement strategies and extensions of our method to other domains, including 3D flows.

关键词： Streaming media visualization Vectors Eigenvalues and eigenfunctions Equations Approximation methods Noise

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CFD simulation of liquid-liquid extraction columns and visualization of eulerian datasets

CFD simulation of liquid-liquid extraction columns and visua...

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International Research and Training Group 1131 Workshop on visualization of Large and Unstructured data Sets: Applications in Geospatial Planning, Modeling and Engineering, VLUDS 2011

作者： Hlawitschka, Mark W. Chen, Fang Bart, Hans-Jörg Hamann, Bernd Department of Separation Science and Technology University of Kaiserslautern Germany Computer Graphics and HCI Group University of Kaiserslautern Germany CS Department Institute for Data Analysis and Visualization University of California Davis United States 2 University of Kaiserslautern Germany

ISBN: (纸本)9783939897460

In this joint work, a complete framework for modeling, simulating and visualizing multiphase fluid flow within an extraction column is presented. We first present a volume-of-fluid simulation, which is able to predict the surface of the droplets during coalescence. However, a fast and efficient model is needed for the simulation of a liquid-liquid extraction column due to the high number of occurring droplets. To simulate the velocity and droplet size in a DN32 extraction column, a coupled computational fluid dynamic-population balance model solver is used. The simulation is analyzed using path-line based visualization techniques. A novel semi-automatic re-seeding technique for droplet path-line integration is proposed. With our technique, path-lines of fluid droplets can be re-initialized after contact with the stirring devices. The droplet breakage is captured, allowing the engineer to improve the design of liquid-liquid columns layout.

关键词： Computational fluid dynamics

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