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4th International conference on Internationalization, Design and Global Development

作者： Rigby, Jacob Ding, Haijie Reya Grp Shanghai 200020 Peoples R China

ISBN: (纸本)9783642216596

This paper describes the design of web-based software for visually exploring organizational social networks. The software's target user group consists of business professionals and organizational design consultants who wish to apply network analysis to a practical problem but lack the sophistication required to use advanced software packages. Particular emphasis is placed on using multiple layouts, aggregation and filtering to reduce cognitive complexity and improve usability. Implementation details will also be briefly discussed.

关键词： ONA SNA Network analysis Graph Layout data visualization Web Application

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A Pseudo-haptic Knot Diagram Interface

A Pseudo-haptic Knot Diagram Interface

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conference on visualization and data analysis 2011

作者： Zhang, Hui Weng, Jianguang Hanson, Andrew J. Indiana Univ Pervas Technol Inst Bloomington IN 47405 USA Zhejiang Univ Media & Commun Hangzhou Peoples R China Indiana Univ Dept Comp Sci Bloomington IN 47405 USA

ISBN: (纸本)9780819484055

To make progress in understanding knot theory, we will need to interact with the projected representations of mathematical knots which are of course continuous in 3D but significantly interrupted in the projective images. One way to achieve such a goal would be to design an interactive system that allows us to sketch 2D knot diagrams by taking advantage of a collision-sensing controller and explore their underlying smooth structures through a continuous motion. Recent advances of interaction techniques have been made that allow progress to be made in this direction. Pseudo-haptics that simulates haptic effects using pure visual feedback can be used to develop such an interactive system. This paper outlines one such pseudo-haptic knot diagram interface. Our interface derives from the familiar pencil-and-paper process of drawing 2D knot diagrams and provides haptic-like sensations to facilitate the creation and exploration of knot diagrams. A centerpiece of the interaction model simulates a "physically" reactive mouse cursor, which is exploited to resolve the apparent conflict between the continuous structure of the actual smooth knot and the visual discontinuities in the knot diagram representation. Another value in exploiting pseudo-haptics is that an acceleration (or deceleration) of the mouse cursor (or surface locator) can be used to indicate the slope of the curve (or surface) of whom the projective image is being explored. By exploiting these additional visual cues, we proceed to a full-featured extension to a pseudo-haptic 4D visualization system that simulates the continuous navigation on 4D objects and allows us to sense the bumps and holes in the fourth dimension. Preliminary tests of the software show that main features of the interface overcome some expected perceptual limitations in our interaction with 2D knot diagrams of 3D knots and 3D projective images of 4D mathematical objects.

关键词： pseudo-haptics knot theory 4D visualization

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Where traffic meets DNA: Mobility mining using biological sequence analysis revisited 11

Where traffic meets DNA: Mobility mining using biological se...

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19th ACM SIGSPATIAL International conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2011

作者： Jawad, Ahmed Kersting, Kristian Andrienko, Natalia Knowledge Discovery Dept. Fraunhofer IAIS 53754 Sankt Augustin Germany

ISBN: (纸本)9781450310314

Traffic and mobility mining are fascinating and fast growing areas of data mining and geographical information systems that impact the lives of billions of people every day. Another well-known scientific field that impacts lives of billions is biological sequence analysis. It has experienced an incredible evolution in the recent decade, especially since the Human Genome project. Although, a very first link between both fields has been established already in the early 90ies, many recent papers on mobility mining seem to be unaware of it. We therefore revisit the link and show that many unexplored and novel mobility mining methods fall naturally out of it. Specifically, using advanced discretization techniques for stay-point detection and map matching, we turn traffic sequences into a "biological" ones. Then, we introduce a novel distance function that enables us to directly apply the rich toolbox for biological sequence analysis to it. For instance, by just looking at complex traffic data through the biological glasses of sequence logos we get a novel, easy-to-grasp visualization of data, called "Traffic Logos". For clustering and prediction tasks, our empirical evaluation on three real-world data sets demonstrates that revisiting the link can yield performance as good as state-of-the-art data mining techniques. © 2011 Authors.

关键词： visualization

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Recurrence Plots and RQA analysis for Damage Detection in Mechanical Systems 8

Recurrence Plots and RQA Analysis for Damage Detection in Me...

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8th International conference on Structural Dynamics (EURODYN)

作者： Iwaniec, Joanna Klepka, Andrzej Uhl, Tadeusz AGH Univ Sci & Technol Dept Robot & Mechatron PL-30059 Krakow Poland

ISBN: (纸本)9789076019314

The paper concerns results of the research into dynamic properties and detection of changes in the determinism of undamaged and cracked aluminium plates in the function of excitation frequency. At the stage of identification experiment, the considered plates were excited to vibrations by the application of harmonic signals of frequencies corresponding to the frequencies of the first, third and sixth mode shapes respectively. analysis of the measured displacement time histories was carried out with the use of the Recurrence Plots and the Recurrence Quantification analysis methods. The Recurrence Plots method, which is an advanced technique of nonlinear data analysis, was used for detection of qualitative changes in the system dynamic behaviour by visualization of recurrence of system states in a phase space. The smallest sufficient embedding dimension m was estimated with the use of the false nearest neighbours algorithm while for the purposes of time delay tau determining the method of mutual information function was used. In order to facilitate interpretation of information contained in the Recurrence Plots, the Recurrence Quantification analysis was carried out. For each considered frequency of excitation significant differences in the values of the RQA measures estimated for undamaged and cracked plate were observed. It was proven that the Recurrence Plots and Recurrence Quantification analysis methods can be used for detection of changes in the dynamic behaviour (determinism) of mechanical systems related to changes in the frequency of excitation or crack propagation. The research was motivated by the results of the spectral and restoring force analysis of measured displacement time histories that, in case of plate with the crack introduced, revealed appearance of various nonlinear and probably chaotic phenomena.

关键词： Recurrence Plots method Recurrence Quantification analysis (RQA) Damage detection Cracked aluminium plate

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Brushing Dimensions - A Dual Visual analysis Model for High-Dimensional data

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2011年第12期17卷 2591-2599页

作者： Turkay, Cagatay Filzmoser, Peter Hauser, Helwig Univ Bergen Dept Informat N-5020 Bergen Norway Vienna Univ Technol Dept Stat & Probabil Theory Vienna Austria

In many application fields, data analysts have to deal with datasets that contain many expressions per item. The effective analysis of such multivariate datasets is dependent on the user's ability to understand both the intrinsic dimensionality of the dataset as well as the distribution of the dependent values with respect to the dimensions. In this paper, we propose a visualization model that enables the joint interactive visual analysis of multivariate datasets with respect to their dimensions as well as with respect to the actual data values. We describe a dual setting of visualization and interaction in items space and in dimensions space. The visualization of items is linked to the visualization of dimensions with brushing and focus+context visualization. With this approach, the user is able to jointly study the structure of the dimensions space as well as the distribution of data items with respect to the dimensions. Even though the proposed visualization model is general, we demonstrate its application in the context of a DNA microarray data analysis.

关键词： Interactive visual analysis High-dimensional data analysis

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Maleku: An evolutionary visual software analysis tool for providing insights into software evolution

Maleku: An evolutionary visual software analysis tool for pr...

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27th IEEE International conference on Software Maintenance, ICSM 2011

作者： González-Torres, Antonio Théron, Roberto García-Peñalvo, Francisco J. Wermelinger, Michel Yu, Yijun Department of Computer Sciences University of Salamanca Spain Department of Computing Open University United Kingdom

ISBN: (纸本)9781457706646

Software maintenance is a complex process that requires the understanding and comprehension of software project details. It involves the understanding of the evolution of the software project, hundreds of software components and the relationships among software items in the form of inheritance, interface implementation, coupling and cohesion. Consequently, the aim of evolutionary visual software analytics is to support software project managers and developers during software maintenance. It takes into account the mining of evolutionary data, the subsequent analysis of the results produced by the mining process for producing evolution facts, the use of visualizations supported by interaction techniques and the active participation of users. Hence, this paper proposes an evolutionary visual software analytics tool for the exploration and comparison of project structural, interface implementation and class hierarchy data, and the correlation of structural data with metrics, as well as socio-technical relationships. Its main contribution is a tool that automatically retrieves evolutionary software facts and represent them using a scalable visualization design. © 2011 IEEE.

关键词： Computer software maintenance

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Autostereoscopic visualization of 3D time-varying complex objects in volumetric image sequences

Autostereoscopic visualization of 3D time-varying complex ob...

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conference on Three-Dimensional and Multidimensional Microscopy - Image Acquisition and Processing XVIII

作者： Benassarou, A. Valette, G. Debons, D. Remion, Y. Lucas, L. CReSTIC SIC Rue CrayeresBP 1035 F-51687 Reims 2 France 3DTV Solut F-51100 Reims France

ISBN: (纸本)9780819484413

This paper presents 4dVizMed, a framework for interactive analysis and autostereoscopic visualization of 3d time-varying objects in volumetric image sequences. It combines a deformable surface model which automatically tracks volumetric features, real-time multi-view stereo volume rendering, and some interactive tools for manipulation and quantization. Our method is based on a topological feature tracking process, using a flow-based paradigm and a deformable surface model. It tracks through time the evolution of the components of an isosurface and their interaction with other components. We focus on the difficulties of visualizing 4d volume data, and we report the results of preliminary experiments designed to evaluate the utility of autostereoscopic displays for this purpose.

关键词： visualization 3D modeling 3D image processing Autostereoscopic displays Image visualization Image segmentation 3D displays 3D visualizations Image processing Volume rendering

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PDAC'11 - Proceedings of the 2011 International Workshop on Petascal data Analytics: Challenges and Opportunities, Co-located with SC'11

PDAC'11 - Proceedings of the 2011 International Workshop on ...

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2011 2nd International Workshop on Petascal data Analytics: Challenges and Opportunities, Held in Cooperation with the IEEE/ACM International conference for High Performance Computing, Networking, Storage, and analysis, SC'11

ISBN: (纸本)9781450311304

The proceedings contain 10 papers. The topics discussed include: examples of in transit visualization;detecting atmospheric rivers in large climate datasets;high end scientific codes with computational I/O pipelines: improving their end-to-end performance;stpminer: a high-performance spatiotemporal pattern mining toolbox;addressing the petascale data challenge using in-situ analytics;generalizing MapReduce as a unified cloud and HPC runtime;deterministic annealing and robust scalable data mining for the data deluge;distributed workflow-driven analysis of large-scale biological data using biokepler;and large-scale visual analysis.

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EdgeAnalyzer: Exploratory analysis through advanced edge interaction

EdgeAnalyzer: Exploratory analysis through advanced edge int...

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Hawaii International conference on System Sciences

作者： Panagiotidis, Alexandros Bosch, Harald Koch, Steffen Ertl, Thomas Visualization and Interactive Systems Group University of Stuttgart Germany

ISBN: (纸本)9780769542829

Overdraw and edge crossings are common problems during the exploration of large graphs. Layout methods, such as edge bundling, have been applied to diminish this problem. They often come at the cost of introducing local ambiguities and losing connectivity detail, thus making edge interaction difficult. In this paper we propose EdgeAnalyzer, a focus+context technique for direct interaction with edges and edge bundles, keeping the original graph layout unaltered. Edges can be focused, grouped, filtered, and selected employing userchosen criteria allowing for the analysis of the underlying data. EdgeAnalyzer can be applied to different kinds of node-link diagrams, but is particularly useful when similarities of edges can be exploited. We demonstrate EdgeAnalyzer with different example scenarios, and show the feasibility of the approach in more detail for co-classification analysis in the intellectual property domain. © 2011 IEEE.

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Cloud-scale SNP detection from RNA-Seq data

Cloud-scale SNP detection from RNA-Seq data

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3rd International conference on data Mining and Intelligent Information Technology Applications, ICMIA 2011

作者： Kim, Deok-Keun Yoon, Jee-Hee Kong, Jin-Hwa Hong, Sang-Kyun Lee, Un-Joo Department of Computer Engineering Hallym University Chuncheon-si Gangwon-do 200-702 Korea Republic of Department of Electronic Engineering Hallym University Chuncheon-si Gangwon-do 200-702 Korea Republic of

ISBN: (纸本)9788988678480

Next generation sequencing (NGS) is a powerful method increasing in popularity for the study of human variation and disease. This paper proposes a cloud-computing algorithm that detects SNPs from high-throughput RNA sequence data. By executing in parallel using Hadoop, it identifies SNPs by carefully considering the alignment method and sequencing errors inherent in real data. The analysis results containing the RNA reads and SNP calls can be imported directly into Sequence-Analyzer for the visualization and validation of results. © 2011 AICIT.

关键词： RNA

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