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Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： René Rosenbaum Jian Zhi Bernd Hamann Visual Computing and Computer Graphics group (VCG) Institute for Computer Science University of Rostock Rostock Germany Institute for Data Analysis and Visualization (IDAV) Department of Computer Science University of California Davis CA USA Department of Industrial Engineering and Operations Research Columbia University NY USA

Progressive refinement is a methodology that makes it possible to elegantly integrate scalable data compression, access, and presentation into one approach. Specifically, this paper concerns the effective use of progressive parallel coordinates (PPCs), utilized routinely for high-dimensional data visualization. It discusses how the power of the typical stages of progressive data visualization can also be utilized fully for PPCs. Further, different implementations of the underlying methods and potential application domains are described. The paper also presents empirical results concerning the benefits of PPC with regard to efficient data management and improved presentation, indicating that the proposed approach is able to close the gap between data handling and visualization.

关键词： Lead visualization Logic gates

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Ultra-high resolution four dimensional geodetic imaging of engineered structures for stability assessment

Ultra-high resolution four dimensional geodetic imaging of e...

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GeoCongress 2012: State of the Art and Practice in Geotechnical Engineering

作者： Bawden, G.W. Bond, S. Podoski, J.H. Kreylos, O. Kellogg, L.H. United States Geological Survey 3020 State University Drive East Modoc Hall Suite 4004 Sacramento CA 95819 United States Corps of Engineers Honolulu District CEPOH-EC-T Building 223 Ft. Shafter HI 96958 United States University of California Davis Institute for Data Analysis and Visualization University of California One Shields Avenue Davis CA 95616 United States University of California Davis Department of Geology University of California One Shields Avenue Davis CA 95616 United States

ISBN: (纸本)9780784412121

We used ground-based Tripod LiDAR (T-LiDAR) to assess the stability of two engineered structures: a bridge spanning the San Andreas fault following the M6.0 Parkfield earthquake in Central California and a newly built coastal breakwater located at the Kauma¯lapa'u Harbor Lana'i, Hawaii. In the 10 weeks following the earthquake, we found that the surface under the bridge shifted 7.1 cm with an additional 2.6 cm of motion in the subsequent 13 weeks, which deflected the bridge's northern I-beam support 4.3 cm and 2.1 respectively;the bridge integrity remained intact. T-LiDAR imagery was collected after the completion of armored breakwater with 817 35-ton interlocking concrete armor units, Core-Locs®, in the summers of 2007, 2008 and 2010. We found a wide range of motion of individual Core-Locs, from a few centimeters to >110 cm along the ocean side of the breakwater, with lesser movement along the harbor side. © 2012 American Society of Civil Engineers.

关键词： Earthquakes

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Structural and magnetic properties in the quantum S=12 dimer system Ba3(Cr1−xVx)2O8 with site disorder

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Physical Review B 2013年第14期87卷 144427-144427页

作者： Tao Hong L. Y. Zhu X. Ke V. O. Garlea Y. Qiu Y. Nambu H. Yoshizawa M. Zhu G. E. Granroth A. T. Savici Zheng Gai H. D. Zhou Quantum Condensed Matter Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831-6393 USA Materials Science Division Argonne National Laboratory Argonne Illinois 60439 USA Department of Physics and Astronomy Michigan State University East Lansing Michigan 48824 USA Center for Neutron Research National Institute of Standards and Technology Gaithersburg Maryland 20899 USA Department of Materials and Engineering University of Maryland College Park Maryland 20742 USA Institute of Multidisciplinary Research for Advanced Materials Tohoku University 2-1-1 Katahira Sendai 980-8577 Japan Neutron Science Laboratory Institute for Solid State Physics University of Tokyo 106-1 Shirakata Tokai Ibaraki 319-1106 Japan Neutron Data Analysis and Visualization Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831-6393 USA Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA National High Magnetic Field Laboratory Florida State University Tallahassee Florida 32306-4005 USA Department of Physics and Astronomy University of Tennessee Knoxville Tennessee 37996-1200 USA

We report a comprehensive study of dc susceptibility, specific-heat, neutron-diffraction, and inelastic neutron-scattering measurements on polycrystalline Ba3(Cr1−xVx)2O8 samples, where x=0, 0.06, 0.15, and 0.53. A Jahn-Teller structure transition occurs for x=0, 0.06, and 0.15 samples, and the transition temperature is reduced upon vanadium substitution from 70(2) K at x=0 to 60(2) K at x=0.06 and 0.15. The structure becomes less distorted as x increases, and such transition disappears at x=0.53. The observed magnetic excitation spectrum indicates that the singlet ground state remains unaltered and spin-gap energy Δ=1.3(1) meV is identical within the instrument resolution for all x. In addition, the dispersion bandwidth W decreases with increase of x. At x=0.53, W is reduced to 1.4(1) meV from 2.0(1) meV at x=0.

关键词： QUANTUM dimer models MAGNETIC susceptibility measurement SPECIFIC heat measurement NEUTRON diffraction INELASTIC neutron scattering TRANSITION temperature JAHN-Teller effect POLYCRYSTALS

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VirCA NET: A case study for collaboration in shared virtual space

VirCA NET: A case study for collaboration in shared virtual ...

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International Conference on Cognitive Infocommunications (CogInfoCom)

作者： Péter Galambos Christian Weidig Péter Baranyi Jan C. Aurich Bernd Hamann Oliver Kreylos Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary Department of Manufacturing Science and Technology Budapest University of Technology and Economics Hungary Institute for Manufacturing Technology and Production Systems University of Kaiserslautern Germany Department of Telecommunications and Media Informatics Budapest University of Technology and Economics Hungary Institute for Data Analysis and Visualization (IDAV) University of California Davis USA

To take up the challenge of global distributed companies, Manufacturing Engineering has to be accomplished in a worldwide collaborative way. Design and development of production processes and their execution are nowadays spread all over the world. To ensure quality standards and to create synergies between spatially distributed entities, distance collaboration tools must be provided to allow cooperation even over large distances. The Virtual Reality (VR) is thereby offering beneficial capabilities to exchange current planning stages, identify problems and solve them cooperatively. This paper introduces a new approach for distance collaboration, which enables users to work in a joint virtual space, nearly as if they were working together in the same place. Therefore two full-immersive CAVE-like systems are interconnected using the VirCA (Virtual Collaboration Arena) platform. The paper describes the requirements of Mechanical Engineers towards distance collaboration tools and the technical challenges solved with the enhanced VirCA framework. This working prototype is one premier application in the field of VR-enhanced spatially distributed collaboration. A typical use case scenario is provided to highlight the interaction and cooperation capabilities offered by VirCA NET.

关键词： Collaboration Planning Robots Production facilities Manufacturing Virtual reality Production systems

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Structural decomposition trees

Structural decomposition trees

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13th Eurographics / IEEE Symposium on visualization, EuroVis 2011

作者： Engel, D. Rosenbaum, R. Hamann, B. Hagen, H. University of Kaiserslautern Germany Institute of Data Analysis and Visualization University of California Davis CA United States

Researchers and analysts in modern industrial and academic environments are faced with a daunting amount of multi-dimensional data. While there has been significant development in the areas of data mining and knowledge discovery, there is still the need for improved visualizations and generic solutions. The state-of-the-art in visual analytics and exploratory data visualization is to incorporate more profound analysis methods while focusing on fast interactive abilities. The common trend in these scenarios is to either visualize an abstraction of the data set or to better utilize screen-space. This paper presents a novel technique that combines clustering, dimension reduction and multi-dimensional data representation to form a multivariate data visualization that incorporates both detail and overview. This amalgamation counters the individual drawbacks of common projection and multi-dimensional data visualization techniques, namely ambiguity and clutter. A specific clustering criterion is used to decompose a multi-dimensional data set into a hierarchical tree structure. This decomposition is embedded in a novel Dimensional Anchor visualization through the use of a weighted linear dimension reduction technique. The resulting Structural Decomposition Tree (SDT) provides not only an insight of the data set's inherent structure, but also conveys detailed coordinate value information. Further, fast and intuitive interaction techniques are explored in order to guide the user in highlighting, brushing, and filtering of the data. © 2011 The Author(s) Journal compilation © 2011 The Eurographics Association and Blackwell Publishing Ltd. Published by Blackwell Publishing.

关键词： visualization

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Visual boosting in pixel-based visualizations

Visual boosting in pixel-based visualizations

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13th Eurographics / IEEE Symposium on visualization, EuroVis 2011

作者： Oelke, Daniela Janetzko, Halldor Simon, Svenja Neuhaus, Klaus Keim, Daniel A. Data Analysis and Visualization Group University of Konstanz Germany Department of Microbial Ecology Technical University of Munich Germany

Pixel-based visualizations have become popular, because they are capable of displaying large amounts of data and at the same time provide many details. However, pixel-based visualizations are only effective if the data set is not sparse and the data distribution not random. Single pixels - no matter if they are in an empty area or in the middle of a large area of differently colored pixels - are perceptually difficult to discern and may therefore easily be missed. Furthermore, trends and interesting passages may be camouflaged in the sea of details. In this paper we compare different approaches for visual boosting in pixel-based visualizations. Several boosting techniques such as halos, background coloring, distortion, and hatching are discussed and assessed with respect to their effectiveness in boosting single pixels, trends, and interesting passages. Application examples from three different domains (document analysis, genome analysis, and geospatial analysis) show the general applicability of the techniques and the derived guidelines. © 2011 The Author(s) Journal compilation © 2011 The Eurographics Association and Blackwell Publishing Ltd. Published by Blackwell Publishing.

关键词： visualization

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Interactive visual comparison of multiple trees

Interactive visual comparison of multiple trees

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2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011

作者： Bremm, Sebastian Von Landesberger, Tatiana Hess, Martin Schreck, Tobias Weil, Philipp Hamacherk, Kay Interactive-Graphics Systems TU Darmstadt Germany Data Analysis and Visualization Group University of Konstanz Germany Computational Biology TU Darmstadt Germany

ISBN: (纸本)9781467300131

Traditionally, the visual analysis of hierarchies, respectively, trees, is conducted by focusing on one given hierarchy. However, in many research areas multiple, differing hierarchies need to be analyzed simultaneously in a comparative way - in particular to highlight differences between them, which sometimes can be subtle. A prominent example is the analysis of so-called phylogenetic trees in biology, reflecting hierarchical evolutionary relationships among a set of organisms. Typically, the analysis considers multiple phylogenetic trees, either to account for statistical significance or for differences in derivation of such evolutionary hierarchies;for example, based on different input data, such as the 16S ribosomal RNA and protein sequences of highly conserved enzymes. The simultaneous analysis of a collection of such trees leads to more insight into the evolutionary process. We introduce a novel visual analytics approach for the comparison of multiple hierarchies focusing on both global and local structures. A new tree comparison score has been elaborated for the identification of interesting patterns. We developed a set of linked hierarchy views showing the results of automatic tree comparison on various levels of details. This combined approach offers detailed assessment of local and global tree similarities. The approach was developed in close cooperation with experts from the evolutionary biology domain. We apply it to a phylogenetic data set on bacterial ancestry, demonstrating its application benefit. © 2011 IEEE.

关键词： Phylogenetic

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Visual analytics of terrorist activities related to epidemics

Visual analytics of terrorist activities related to epidemic...

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IEEE Symposium on Visual Analytics Science and Technology (VAST)

作者： Enrico Bertini Juri Buchmüller Fabian Fischer Stephan Huber Thomas Lindemeier Fabian Maaß Florian Mansmann Thomas Ramm Michael Regenscheit Christian Rohrdantz Christian Scheible Tobias Schreck Stephan Sellien Florian Stoffel Mark Tautzenberger Matthias Zieker Daniel A. Keim Data Analysis and Visualization Group University of Konstanz Germany

The task of the VAST 2011 Grand Challenge was to investigate potential terrorist activities and their relation to the spread of an epidemic. Three different data sets were provided as part of three Mini Challenges (MCs). MC 1 was about analyzing geo-tagged microblogging (Twitter) messages to characterize the spread of an epidemic. MC 2 required analyzing threats to a computer network using a situational awareness approach. In MC 3 possible criminal and terrorist activities were to be analyzed based on a collection of news articles. To solve the Grand Challenge, insight from each of the individual MCs had to be integrated appropriately.

关键词： Tag clouds Software Visual analytics data analysis Terrorism Rivers Imaging

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ZAPP - A management framework for distributed visualization systems

ZAPP - A management framework for distributed visualization ...

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IADIS International Conference Computer Graphics, visualization, Computer Vision and Image Processing 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011

作者： Tamm, Georg Schiewe, Alexander Krüger, Jens Interactive Visualization and Data Analysis Group DFKI Saarbrücken Germany Intel Visual Computing Institute Saarbrücken Germany SCI Institute Salt Lake City United States

ISBN: (纸本)9789728939489

In this work we present the ZAPP, a management framework for distributed visualization systems. The main purpose of ZAPP is to improve the user, administrator, and developer experience in dealing with distributed displays. Even a single user with no administrative knowledge can operate a ZAPP-managed display system. The goal is that practically anyone is capable of operating the display with less than two minutes of training. To achieve this we present a lightweight management framework that links and controls the render workstations, which drive the displays, but also connects to the user's very own mobile devices, such as smartphones or tablets, to enable convenient control over the display. Consequently, the users never need to leave their familiar hardware and operating system environments and can use distributed displays without external help. © 2011 IADIS.

关键词： Display devices

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visualization in human-centered virtual factories

Visualization in human-centered virtual factories

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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 2010

作者： Yang, Xiang Deines, Eduard Aurich, Jan C. University of Kaiserslautern P.O. Box 3049 Kaiserslautern 67657 Germany Institute for Data Analysis and Visualization University of California One Shields Ave Davis CA 95616 United States

ISBN: (纸本)9783939897293

In a manufacturing system (MS), a wide range of human activities are applied in production processes. The human factor plays a core role and should be incorporated into the design, planning and decision making processes. In this work we describe different definitions, developments and existing concepts of a Virtual Factory (VF) and discuss VFs from the human oriented point of view. Furthermore, we analyze the potential need and use of visualization methods in VF study and propose a human-centered VF concept. Following this concept we introduce an example implementation and describe how our model facilitates the decision making and design process in MS. In addition, we show an example of a noise analysis of working environment, which is based on our virtual factory model.

关键词： visualization

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