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Grid-based collaboration in interactive data language applications

Grid-based collaboration in interactive data language applic...

引用

International conference on Information Technology - Coding and Computing

作者： Wang, MJ Fox, G Pierce, M Syracuse Univ Dept EECS Syracuse NY 13244 USA

ISBN: (纸本)0769523153

Interactive data Language (IDL) is an array-oriented data analysis and visualization application, which is widely used in research, commerce, and education. It is meaningful to make user IDL applications collaborative between computers over networks, using a common message broker as the underlying communication system. In order to achieve the global collaboration, we have brought together in the research a Grid-based Collaboration paradigm, a Shared Event model, different implementing structures, methodologies and technologies. We have succeeded in our prototype codes, and we are currently working on a real life IDL application package to make it collaborative. At the same time, we are trying to find better structures and methods for the collaboration in general user IDL applications.

关键词： data acquisition

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

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

引用

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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Generalized Hebbian Learning for ellipse fitting

Generalized Hebbian Learning for ellipse fitting

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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： Wijewickrema, Sudanthi N.R. Papliński, Andrew P. Computer Science and Software Engineering Monash University Clayton VIC 3168 Australia

ISBN: (纸本)8090310079

In this paper, we investigate the use of a neural network employing Genralised Hebbian Learning for the approximation of an image of a hypothetically ellipsoidal object as an ellipse. Further, we discuss how the same algorithm is used with higher dimensional data to model hyperellipsoids, with the basic aim at a specific application, namely the modelling of an object as an ellipsoid given a set of 3-dimensional points. Copyright UNION Agency-Science Press.

关键词： Principal component analysis

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The research of data mining based on extension sets

The research of data mining based on extension sets

引用

3rd International conference on Information Technology and Applications

作者： Lu, Q Yu, YQ Guangdong Univ Technol Inst Intelligent Engn Guangzhou 510090 Peoples R China

ISBN: (纸本)0769523161

Extension data mining is a new method that is based on the extension analysis method of Extenics. Extenics is a new disciplinary and a new branch of arfiticial intelligence. data mining techniques have their origins in methods from statistics, pattern recognition, databases, artificial intelligence, high performance and parallel computing and visualization. This paper presents how to deal with multiple data formats and unify data representation based on extenics. Keyword: matter-element, databases, extension data mining, association rules.

关键词： matter-element databases extension data mining association rules

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Illustration and photography inspired visualization of flows and volumes

Illustration and photography inspired visualization of flows...

引用

VIS 05: IEEE visualization 2005, Proceedings

作者： Svakhine, Nikolai A. Jang, Yun Ebert, David Gaithert, Kelly Purdue University University of Texas Austin

ISBN: (纸本)0780394623

Understanding and analyzing complex volumetrically varying data is a difficult problem. Many computational visualization techniques have had only limited success in succinctly portraying the structure of three-dimensional turbulent flow. Motivated by both the extensive history and success of illustration and photographic flow visualization techniques, we have developed a new interactive volume rendering and visualization system for flows and volumes that simulates and enhances traditional illustration, experimental advection, and photographic flow visualization techniques. Our system uses a combination of varying focal and contextual illustrative styles, new advanced two-dimensional transfer functions, enhanced Schlieren and shadowgraphy shaders, and novel oriented structure enhancement techniques to allow interactive visualization, exploration, and comparative analysis of scalar, vector, and time-varying volume datasets. Both traditional illustration techniques and photographic flow visualization techniques effectively reduce visual clutter by using compact oriented structure information to convey three-dimensional structures. Therefore, a key to the effectiveness of our system is using one-dimensional (Schlieren and shadowgraphy) and two-dimensional (silhouette) oriented structural information to reduce visual clutter, while still providing enough three-dimensional structural information for the user's visual system to understand complex three-dimensional flow data. By combining these oriented feature visualization techniques with flexible transfer function controls, we can visualize scalar and vector data, allow comparative visualization of flow properties in a succinct, informative manner, and provide continuity for visualizing time-varying datasets. ©2005 IEEE.

关键词： Flow visualization

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COTS cluster-based sort-last rendering: Performance evaluation and pipelined implementation

COTS cluster-based sort-last rendering: Performance evaluati...

引用

IEEE visualization 2005 conference

作者： Cavin, X Mion, C Filbois, A Inria Lorraine France

ISBN: (纸本)0780394623

Sort-last parallel rendering is an efficient technique to visualize huge datasets on COTS clusters. The dataset is subdivided and distributed across the cluster nodes. For every frame, each node renders a full resolution image of its data using its local GPU, and the images are composited together using a parallel image compositing algorithm. In this paper, we present a performance evaluation of standard sort-last parallel rendering methods and of the different improvements proposed in the literature. This evaluation is based on a detailed analysis of the different hardware and software components. We present a new implementation of sort-last rendering that fully overlaps CPU(s), GPU and network usage all along the algorithm. We present experiments on a 3 years old 32-node PC cluster and on a 1.5 years old 5-node PC cluster, both with Gigabit interconnect, showing volume rendering at respectively 13 and 31 frames per second and polygon rendering at respectively 8 and 17 frames per second on a 1024 x 768 render area, and we show that our implementation outperforms or equals many other implementations and specialized visualization clusters.

关键词： cluster-based visualization sort-last rendering parallel image compositing

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SOVAT: Spatial OLAP visualization and analysis tool

SOVAT: Spatial OLAP visualization and analysis tool

引用

38th Annual Hawaii International conference on System Sciences, HICSS 2005

作者： Scotch, Matthew Parmanto, Bambang

Community health research is practiced with disparate independently used tools that by themselves do not allow for the type of comprehensive and thorough analysis needed for effective public health evaluation. The Spatial OLAP visualization and analysis Tool (SOVAT) is a new type of research application for community health assessments. SOVAT integrates into one system many of the necessary characteristics needed to make comprehensive community health decisions. By combining On-Line Analytical Processing (OLAP) with Geospatial Information System (GIS) capabilities, our system can handle large amounts of data, perform geospatial and statistical calculations, and then display this information in both a numerical and spatial view within the same interface. It is anticipated that this unique system will provide researchers with the ability to perform more comprehensive assessments while enabling for more informed public health decisions.

关键词： Systems science

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On vortical flow structures at wing stall and beyond

On vortical flow structures at wing stall and beyond

引用

35th AIAA Fluid Dynamics conference and Exhibit

作者： Zarutskaya, T. Arieli, R. Haifa 31021 Israel

ISBN: (纸本)9781624100598

This paper addresses detailed examination of the stalling properties of airfoils that start with trailing-edge separation and develop "stall cells" also referred as "mushroom" patterns. The occurrence of these three-dimensional, large-scale structures in the flow over a rectangular finite wing at high angles-of-attack was investigated numerically and experimentally. Wake total-pressure data and flow visualization data were acquired. Numerical analysis of the mean flow structure using the Reynolds Averaged Navier-Stokes (RANS) approach, not previously reported, reveals a highly complex flowfield with zones of massive reversed flow. The chord Reynolds number has a limited influence;the turbulence model has a quantitative effect without affecting the basic flow structure. Flow visualization results suggest that the three-dimensional separation structures might be unsteady, manifested in a clearly defined pattern of lateral (spanwise) irregular motion. © 2005 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Flow visualization

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Visual analysis and exploration of fluid flow in a cooling jacket

Visual analysis and exploration of fluid flow in a cooling j...

引用

VIS 05: IEEE visualization 2005, Proceedings

作者： Laramee, Robert S. Garth, Christoph Doleisch, Helmut Schneider, Jürgen Hauser, Helwig Hagen, Hans VRVis Research Center Vienna Austria Department of Computer Science University of Kaiserslautern Germany AVL Graz Austria

ISBN: (纸本)0780394623

We present a visual analysis and exploration of fluid flow through a cooling jacket. Engineers invest a large amount of time and serious effort to optimize the flow through this engine component because of its important role in transferring heat away from the engine block. In this study we examine the design goals that engineers apply in order to construct an ideal-as-possible cooling jacket geometry and use a broad range of visualization tools in order to analyze, explore, and present the results. We systematically employ direct, geometric, and texture-based flow visualization techniques as well as automatic feature extraction and interactive feature-based methodology. And we discuss the relative advantages and disadvantages of these approaches as well as the challenges, both technical and perceptual with this application. The result is a feature-rich state-of-the-art flow visualization analysis applied to an important and complex data set from real-world computational fluid dynamics simulations. © 2005 IEEE.

关键词： Flow of fluids

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Neuro-fuzzy segmentation of document images

Neuro-fuzzy segmentation of document images

引用

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

作者： Górecki, P Castiello, C Caponetti, L Univ Bari Dipartimento Informat I-70126 Bari Italy

ISBN: (纸本)0889865280

The task of document image segmentation is to represent a digital image in a more interpretable form, recognising regions containing text, background and graphics. This paper presents a peculiar strategy for document image segmentation, where a neuro-fuzzy approach is involved. Firstly, image is segmented into text, graphics or background during a pixel level classification step. Successively, an analysis performed over the obtained regions is devoted to refine the initial segmentation results. A knowledge discovery process is applied to automatically derive from sample data the fuzzy rule bases, responsible of the inference scheme presiding over the classification of image pixels and regions. The proposed method proves to be accurate and robust to page skew and noise.

关键词： document analysis neuro-fuzzy classification document image segmentation feature extraction

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