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4th Annual conference on Scalable Vector Graphics, SVG Open 2005

作者： Raphael, Seth T. National Institute for Technology and Liberal Education 5 Court Street Middlebury VT 05753 United States

The task of navigating large unstructured collections of documents to find information that is relevant, related, or connected to a topic can be very difficult. At the National Institute for Technology and Liberal Education (NITLE) we develop tools that use statistical analysis to correlate similar documents and to facilitate the exploration and discovery of connections between them. Information visualization is a growing and relevant field. data-driven visualization graphics created with the SVG format can interact robustly with the surrounding web-based environment, have the power of a built-in programming language, and can dynamically update themselves over a network. These abilities allow rich visualizations of content to not only be created on the fly, but navigated on the fly as well. The ability of an SVG image to interact with the underlying systems it represents makes it a very powerful solution for content and relationship visualization.

关键词： visualization

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Towards information visualization and clustering techniques for MRI data sets

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10th conference on Artificial Intelligence in Medicine (AIME 2005)

作者： Castellani, U Combi, C Marzola, P Murino, V Sbarbati, A Zampieri, M Univ Verona Dipartimento Informat I-37100 Verona Italy Univ Verona Dipartimento Sci Morfol Biomed I-37100 Verona Italy

ISBN: (纸本)3540278311

The paper deals with the integrated use of Information visualization techniques and clustering algorithms to analyze Magnetic Resonance Imaging (MRI) data sets. The paper also describes the criteria we followed in designing and implementing the prototype, according to the above approach. Finally, some preliminary results are given for the considered medical application.

关键词： Information analysis

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Geovisualization of forest simulation modelling results: A case study of carbon sequestration and biodiversity

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COMPUTERS AND ELECTRONICS IN AGRICULTURE 2005年第1期49卷 175-191页

作者： Chertov, O Komarov, A Mikhailov, A Andrienko, G Andrienko, N Gatalsky, P St Petersburg State Univ Biol Res Inst St Petersburg Russia Russian Acad Sci Inst Phys Chem & Biol Problems Soil Sci Pushchino 142290 Russia Fraunhofer Inst Autonomous Intelligent Syst D-53754 St Augustin Germany

Sustainable forest management requires new tools to analyze spatial and temporal forest dynamics and to examine those forest parameters that are related to sustainability. We built a prototype system for data analysis and decision-making at forest enterprise level by integrating a forest ecosystem model EFIMOD-PRO, (long-term prediction of forest growth and soil development) with an interactive visualization system CommonGIS for analysis of spatially and temporally related data. Using the prototype, a case study in Central European Russia simulated four silvicultural regimes over 200 years: natural development, selective forestry, legal forestry according to the Russian forestry legislation, and illegal forest practice. Exploratory analysis of the simulation results demonstrated that (1) natural stand development is the best alternative for carbon sequestration;(2) legal forest management is the best regime for timber production;(3). selective forestry combines the advantages of two previous strategies, and can be the best strategy for implementing sustainable forest management;and (4) illegal forest practices lead to a fast decrease in forest productivity and decreasing biodiversity. Interactive and dynamic visualizations With maps and statistical graphics played a crucial role in data cleaning, model validation, and analysis of simulation results. The case study demonstrated the potential of integrating forest ecosystem models with exploratory data visualization for the analysis and expert evaluation at the local level. The prototype can be used to present ecological and silvicultural consequences of various management practices to stakeholders and differing social groups, thus stimulating effective decision-making for sustainable forestry. (c) 2005 Elsevier B.V. All rights reserved.

关键词： simulation modelling silvicultural strategies geovisualization exploratory spatial data analysis

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Extraction and LOD control of colored interval volumes

Extraction and LOD control of colored interval volumes

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conference on visualization and data analysis 2005

作者： Miyamura, HN Takeshima, Y Fujishiro, I Saito, T Tokyo Univ Agr & Technol Grad Sch Bioapplicat & Syst Engn Fuchu Tokyo 183 Japan

ISBN: (纸本)081945642X

Interval volume serves as a generalized isosurface and represents a three-dimensional subvolume for which the associated scalar filed values lie within a user-specified closed interval. In general, it is not an easy task for novices to specify the scalar field interval corresponding to their ROIs. In order to extract interval volumes from which desirable geometric features can be mined effectively, we propose a, suggestive technique which extracts interval volumes automatically based on the global examination of the field contrast structure. Also proposed here is a simplification scheme for decimating resultant triangle patches to realize efficient transmission and rendition of large-scale Interval volumes. Color distributions as well as geometric features are taken into account to select best edges to be collapsed. In addition, when a user wants to selectively display and analyze the original dataset, the simplified dataset is restructured to the original quality. Several simulated and acquired datasets are used to demonstrate the effectiveness of the present methods.

关键词： volume visualization solid fitting interval volume level of detail triangle decimation

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Design and implementation of information visualization system on science and technology industry based on GIS

Design and implementation of information visualization syste...

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conference on PIAGENG 2010 - Photonics and Imaging for Agricultural Engineering

作者： Wu Xiaofang Jiang Liushi S China Agr Univ Coll Informat Guangzhou 510642 Guangdong Peoples R China

ISBN: (纸本)9780819482457

Usually in the traditional science and technology information system, the only text and table form are used to manage the data, and the mathematic statistics method is applied to analyze the data. It lacks for the spatial analysis and management of data. Therefore, GIS technology is introduced to visualize and analyze the information data on science and technology industry. Firstly, by using the developed platform-microsoft visual studio 2005 and ArcGIS Engine, the information visualization system on science and technology industry based on GIS is built up, which implements various functions, such as data storage and management, inquiry, statistics, chart analysis, thematic map representation. It can show the change of science and technology information from the space and time axis intuitively. Then, the data of science and technology in Guangdong province are taken as experimental data and are applied to the system. And by considering the factors of humanities, geography and economics so on, the situation and change tendency of science and technology information of different regions are analyzed and researched, and the corresponding suggestion and method are brought forward in order to provide the auxiliary support for development of science and technology industry in Guangdong province.

关键词： GIS visualization dynamic analysis

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I2: Interactive real-Time visualization for streaming data 20

I2: Interactive real-Time visualization for streaming data

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20th International conference on Extending database Technology, EDBT 2017

作者： Traub, Jonas Steenbergen, Nikolaas Grulich, Philipp M. Rabl, Tilmann Markl, Volker Technische Universität Berlin Germany Germany

ISBN: (纸本)9783893180738

Developing scalable real-time data analysis programs is a challenging task. Developers need insights from the data to define meaningful analysis flows, which often makes the development a trial and error process. data visualization techniques can provide insights to aid the development, but the sheer amount of available data frequently makes it impossible to visualize all data points at the same time. We present I2, an interactive development environment that coordinates running cluster applications and corresponding visualizations such that only the currently depicted data points are processed and transferred. To this end, we present an algorithm for the real-time visualization of time series, which is proven to be correct and minimal in terms of transferred data. Moreover, we show how cluster programs can adapt to changed visualization properties at runtime to allow interactive data exploration on data streams. © 2017, Copyright is with the authors.

关键词： data visualization

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Proceedings of the IEEE visualization conference

Proceedings of the IEEE Visualization Conference

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VIS 05: IEEE visualization 2005, Proceedings

ISBN: (纸本)0780394623

The proceedings contain 117 papers. The topics discussed include: 2D asymmetric tensor analysis;exploring 2D tensor fields using stress nets;illuminated lines revisited;HOT-lines: tracking lines in higher order tensor fields;visualization of white matter tracts with wrapped streamlines;the value of visualization;sort-middle multi-projector immediate-mode rendering in chromium;VisTraits: enabling interactive multiple-view visualizations;query-driven visualization of large data sets;interactive rendering of large unstructured grids using dynamic level-of-detail;streaming meshes;reflection nebula visualization;statistically quantitative volume visualization;high dynamic range volume visualization;fast visualization by shear-warp on quadratic super-spline models using wavelet data decompositions;effectively visualizing large networks through sampling;and quality mesh generation for molecular skin surfaces using restricted union of balls.

关键词： Tensors

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visualization: Detecting societal behaviors

Visualization: Detecting societal behaviors

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MILCOM 2005: Military Communications conference 2005

作者： Koutsofios, Eleftherios Truscott, Russell AT and T Labs - Research Florham Park NJ

ISBN: (纸本)0780393937

An interesting area of study has been developing technologies to assist knowledge discovery with the human in the loop. It has been our experience that humans are adept at discovering patterns and anomalies, while automated systems are preferred for managing the found anomalies. It has also been our view that tools intrinsically limit the questions that can be asked, and therefore limit what can be understood about data. A particular niche we have investigated is the detection of societal behaviors, or ripples, in response to external events. The goal is to detect ripples as surrogates for the underlying event. A societal ripple is a change in personal activities or transactions. These ripples may be found in many data streams including retail transactions and communications. We have developed a data fusion, analysis and visualization prototype internally named SWIFT. This technology provides a data agnostic platform that can fuse multiple real-time data streams, provide connectivity to analysis capabilities and view current and historical animations of selected data dimensions. By applying this technology we can observe how society reacts to certain events and how behaviors differ between various events. By enabling interactive investigation of anomalies with a 100% sampling of data, we have discovered many hidden anomalies that are beneath the "radar screen".

关键词： Behavioral research

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Hough transform with weighting edge-maps

Hough transform with weighting edge-maps

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5th IASTED International conference on visualization, Imaging, and Image Processing

作者： Ruwwe, C Zölzer, U Duprat, O Helmut Schmidt Univ Univ Fed Armed Forces Dept Signal Proc & Commun Hamburg Germany

ISBN: (纸本)0889865280

Finding egdes in textured images is a very difficult task. An extension to the well-known Hough Transform for finding straight lines in images is given in this paper. Instead of suppressing useful edge information in the preceeding edge detector, the raw edge data is used in the Hough transformation directly. This approach clearly outperforms the classical one in highly textured and rich contrast images.

关键词： image analysis edge detection Hough transform contrast enhancement textures

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Mining and visualizing power in social network analysis

Mining and visualizing power in social network analysis

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International conference on Artificial Intelligence (ICAI 05)

作者： Liiv, I Tallinn Univ Technol Dept Informat EE-12618 Tallinn Estonia

ISBN: (纸本)1932415688

Social network analysis (SNA) is a set of numerous techniques, methods and tools for discovering patterns in social structures. Using the Tight measurement allows us to address the problem with other traditional disciplines, giving us the possibility to analyze it with well-known data raining ideas and even with the fundamental graph theory methods. Motivated by the goal of measuring and visualizing the essential property of social networks - power - we present an efficient method for visual clustering in SNA as a frequent closed itemset mining and a graph crossing minimization task. The theoretical claims are supported by the results of a prima facie set of experiments, based on a real-life email dataset, which was made public during the legal investigation concerning Enron corporation.

关键词： data mining visualization social network analysis knowledge discovery enron

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