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conference on visualization and data analysis 2007

作者： Cho, Seongyoon Park, Jinah Informat & Commun Univ Comp Graph & Visualizat Lab Taejon South Korea

ISBN: (纸本)9780819466082

Relation network is constructed by discovering relations between objects. Discovering relations is challenging and usually time consuming job. For example, most relation in protein-protein interaction networks has been discovered one by one empirically. However, if we know some objects have similar functions, we can make inference of the relationship between objects. And these inferences can avoid false trial and errors in discovering relations. Ontology is a structured representation of conceptual knowledge. This hierarchical knowledge can be applied at inference of relation between objects. Objects with similar functions share similar ontology terms. Therefore, combining relation network with ontology makes it possible to reflect that kind of knowledge and we can infer unknown relations. In this paper, we propose a visualization method in 3D space, to examine specific relation network based on a proper ontology structure. To gather related ontology terms, we added a degree of freedom to conventional layered drawing algorithm so that the position of the term in an ontology tree can move like a mobile. And we combined it with modified spring embedder model to map relation network onto the ontology tree. We have used protein-protein interaction data from Ubiquitination Information System for relation network, and Gene Ontology for ontology structure. The proposed method lays out the protein relation data in 3D space with a meaningful distance measure. Finally, we have designed experiments to verify the relationship between Euclidean distance of each protein and existence of interaction. The results support that our method provides a means to discover new relation based on visualization.

关键词： information visualization bioinformatics ontology relation network

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analysis of wavelet correlation between tyre sounds and tread patterns

Analysis of wavelet correlation between tyre sounds and trea...

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IEEE International conference on Networking, Sensing and Control

作者： Seki, K Shin, S Tabaru, T Univ Tokyo Tokyo Japan

ISBN: (纸本)0780388127

This paper proposes analysis of wavelet correlation between tyre sounds and tread patterns. In the paper, wavelet analysis provides the visualization of tyre sounds in time-frequency domain and allows the tyre sounds to be analyzed in synchronization with tread patterns. We focus on the influence of variable lateral grooves' pitches on the pipe resonanc of a tyre sound. Based on the model that the amplitude of the resonant component is modulated by lateral grooves, the correlation between the pipe resonance and the pitch fluctuation is analyzed using wavelet transform. Consequently, the tread's area on the circumference which contacts the ground is specified for each time point on the tyre sound data.

关键词： Wavelet transforms

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Smart city data analysis via visualization of correlated attribute patterns 24

Smart city data analysis via visualization of correlated att...

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Advances in database Technology - 24th International conference on Extending database Technology, EDBT 2021

作者： Sasaki, Yuya Hori, Keizo Nishihara, Daiki Ohashi, Sora Wakuta, Yusuke Harada, Kei Onizuka, Makoto Arase, Yuki Shimojo, Shinji Doi, Kenji Hongdi, He Peng, Zhong-Ren Graduate School of Information Science and Technology Osaka University Suita Japan Cyber media center Osaka University Suita Japan Graduate School of Engineering Osaka University Suita Japan Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications Research Shianghai Jiao Tong University Shanghai China International Center for Adaptation Planning and Design University of Florida Gainesville United States

ISBN: (纸本)9783893180844

Urban conditions are monitored by a wide variety of sensors that measure several attributes, such as temperature and traffic volume. The correlations of sensors help to analyze and understand the urban conditions accurately. The correlated attribute pattern (CAP) mining discovers correlations among multiple attributes from the sets of sensors spatially close to each other and temporally correlated in their measurements. In this paper, we develop a visualization system for CAP mining and demonstrate analysis of smart city data. Our visualization system supports an intuitive understanding of mining results via sensor locations on maps and temporal changes of their measurements. In our demonstration scenarios, we provide four smart city datasets collected from China and Santander, Spain. We demonstrate that our system helps interactive analysis of smart city data. © 2021 Copyright held by the owner/author(s).

关键词： Smart city

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analysis and visualization for daily newspaper corpora

Analysis and visualization for daily newspaper corpora

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International conference on Recent Advances in Natural Language Processing, RANLP 2005

作者： Richter, Matthias NLP Dept. Leipzig University Computer Science Institute Augustusplatz 11 Leipzig04109 Germany

ISBN: (纸本)9549174336

This paper describes an application of statistical NLP for the extraction of significant topics from time-dependent data. Text from daily national newspapers is taken for an example. Based on comparison with a large reference corpus a small number of terms is selected, categorized and clustered in order to describe characteristic topics from the analyzed texts by these terms. Statistical word co-occurrences are then used extensively to visualize the course of events. The result can be regarded as an enriched type of electronic press report and archive.

关键词： data mining

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VADRE: A visual approach to performance analysis of distributed, real-time systems

VADRE: A visual approach to performance analysis of distribu...

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International conference on Modeling, Simulation and visualization Methods (MSV 05)

作者： Harmon, T Klefstad, R Univ Calif Irvine Dept Elect Engn & Comp Sci Henry Samueli Sch Engn Irvine CA 92697 USA

ISBN: (纸本)193241570X

Distributed, real-time, and embedded (DRE) systems are becoming increasingly complex, and as a result, performance analysis of such systems is becoming increasingly difficult. Current profiling tools are ill-equipped to analyze DRE system performance, primarily due to the distributed nature of these systems. We have begun to address this problem by forging the first in a suite of tools that we call VADRE (va'dor): Visual analysis of Distributed, Real-time, and Embedded systems. Like a CAT scan for distributed systems, these tools will provide a simplified and highly visual means of inspecting and understanding a system's performance. To demonstrate the feasibility and potential benefits of VADRE, we have developed the first tool in the suite. Called Jango, it is specialized for the CORBA domain. It can automatically collect timing data from a CORBA-based distributed system and display a timeline of remote method calls. With input from the user, it can run a basic deadline checking algorithm, revealing precisely when and where a deadline is missed. This technique simplifies and quickens the process of testing a distributed system for adherence to real-time constraints. As a case study in validating the capabilities of Jango, we have applied it to a robotic DRE control system and discuss the results here.

关键词： Common object request broker architecture (CORBA)

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A web-based visualization solution for very large 2D datasets

A web-based visualization solution for very large 2D dataset...

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VIS 05: IEEE visualization 2005, Proceedings

作者： Rudolph, Maxwell L. Gerya, Taras V. Yuen, David A. Oberlin College Oberlin OH 44074 Swiss Federal Institute of Technology Earth Science Institute Zurich CH-8092 Switzerland University of Minnesota Minnesota Supercomputing Institute Department of Geology and Geophysics Minneapolis MN 55455

ISBN: (纸本)0780394623

Over the past several years, we have developed a 2D model of intraoceanic subduction using a marker-in-cell technique1. In order to resolve both large and small-scale features (Figure 1) in and above the subducting slab, we have performed runs of this simulation using as many as 40 billion tracers. Although there are many 3D visualization packages available for datasets of this size, we found existing 2D visualization solutions to be lacking and therefore developed our own high resolution 2D visualization software. This software, WEB-IS42 (Figure 2), uses an hierarchical data format3 to achieve response times on the order of 0.1s, including dynamic colormap application and data analysis, when retrieving arbitrary regions of interest from 10 billion-element datasets over the web. The WEB-IS4 backend includes the ability to browse through multiple timesteps and multiple fields and to simultaneously display information relating to multiple fields, such as temperature and chemical composition. WEB-IS4 is data-independent and could easily be used to display large 2D datasets from remote sensing, astronomy, geology, or medical imaging. © 2005 IEEE.

关键词： World Wide Web

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Non-Gaussian component analysis: A semi-parametric framework for linear dimension reduction

Non-Gaussian component analysis: A semi-parametric framework...

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2005 Annual conference on Neural Information Processing Systems, NIPS 2005

作者： Blanchard, G. Sugiyama, M. Kawanabe, M. Spokoiny, V. Müller, K.-R. Fraunhofer FIRST.IDA Kekuléstr. 7 12489 Berlin Germany Dept. of CS Tokyo Inst. of Tech. 2-12-1 O-okayama Meguro-ku Tokyo 152-8552 Japan Weierstrass Institute Humboldt University Mohrenstr. 39 10117 Berlin Germany Dept. of CS University of Potsdam August-Bebel-Strasse 89 14482 Potsdam Germany

ISBN: (纸本)9780262232531

We propose a new linear method for dimension reduction to identify non- Gaussian components in high dimensional data. Our method, NGCA (non-Gaussian component analysis), uses a very general semi-parametric framework. In contrast to existing projection methods we define what is uninteresting (Gaussian): by projecting out uninterestingness, we can estimate the relevant non-Gaussian subspace. We show that the estimation error of finding the non-Gaussian components tends to zero at a parametric rate. Once NGCA components are identified and extracted, various tasks can be applied in the data analysis process, like data visualization, clustering, denoising or classification. A numerical study demonstrates the usefulness of our method.

关键词： data visualization

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Statistical shape analysis for computer aided spine deformity detection

Statistical shape analysis for computer aided spine deformit...

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13th International conference in Central Europe on Computer Graphics, visualization and Computer Vision 2005, WSCG'2005 - In Co-operation with EUROGRAPHICS

作者： Bendels, Gerhard H. Klein, Reinhard Samimi, Mandana Schmitz, Alfred University of Bonn Institute of Computer Science II Computer Graphics Römerstraße 164 D-53117 Bonn Germany University of Bonn Department of Orthopaedics Sigmund-Freud Straße 25 D-53105 Bonn Germany

ISBN: (纸本)8090310079

In this paper we describe a medical application where we exploit surface properties (measured in form of 3D-Range scans of the human back) to derive a-priori unknown additional properties of the proband, that otherwise can only be acquired using multiple x-ray recordings or volumetric scans as CT or MRI. On the basis of 274 data sets, we perform classification using statistical shape analysis methods. Consistent parameterization and alignment is achieved on the basis of only few anatomic landmarks. As our choice of landmarks is easy to detect on the human body, our approach is feasible for screening applications that can be expected to have much impact on the early detection and later treatment of spine deformities, in particular scoliosis. Copyright UNION Agency - Science Press.

关键词： Medical applications

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Developing military situation picture by spatial analysis and visualization

Developing military situation picture by spatial analysis an...

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10th Scandinavian Research conference on Geographical Information Sciences, ScanGIS 2005

作者： Janlöv, Matti Salonen, Tiia Seppänen, Hannes Virrantaus, Kirsi Helsinki University of Technology Department of Surveying Cartography and Geoinformatics PO Box 1200 Helsinki FIN-02015 Finland

ISBN: (纸本)9173231266

Terrain information and the knowledge derived from it are in important role in military situation awareness and the so-called situation picture. This article describes how geographic information, spatial analysis and visualization methods can be used in the specific military application. As the theoretical framework the OODA -loop has been used and we have shown how data is developed into information and knowledge and finally used in the decision phase. The project is funded by the Finnish Defence Forces and the motivation for this kind of research from FDF side is the situation in which all information systems are redefined and also a new platform for GIS-applications is taken into use. The research questions for us come from the efficiency of algorithms and usability of information as well as the requirements of fast and correct understanding of visualized information.

关键词： Spatial variables measurement

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Real time data acquisition and online signal processing for magnetoencephalography

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IEEE TRANSACTIONS ON NUCLEAR SCIENCE 2006年第3期53卷 704-708页

作者： Rongen, H Hadamschek, V Schiek, M Forschungszentrum Julich GmbH Zent Inst Elekt D-52425 Julich Germany

To establish improved therapies for patients suffering from severe neurological and psychiatric diseases, a demand controlled and desynchronizing brain-pacemaker has been developed with techniques from statistical physics and nonlinear dynamics. To optimize the novel therapeutic approach, brain activity is investigated with a Magnetoencephalography (MEG) system prior to surgery. For this, a real time data acquisition system for a 148 channel MEG and online signal processing for artifact rejection, filtering, cross trial phase resetting analysis and three-dimensional (3-D) reconstruction of the cerebral current sources was developed. The developed PCI bus hardware is based on a FPGA and DSP design, using the benefits from both architectures. The reconstruction and visualization of the 3-D volume data is done by the PC which hosts the real time DAQ and pre-processing board. The framework of the MEG-online system is introduced and the architecture of the real time DAQ board and online reconstruction is described. In addition we show first results with the MEG-Online system for the investigation of dynamic brain activities in relation to external visual stimulation, based on test data sets.

关键词： data acquisition DSP FPGA MEG phase analysis

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