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检索条件"任意字段=Conference on Visualization and Data Analysis 2005"

共 611 条记录，以下是421-430 订阅

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SOVAT: Spatial OLAP visualization and analysis Tool

SOVAT: Spatial OLAP Visualization and Analysis Tool

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Annual Hawaii International conference on System Sciences (HICSS)

作者： M. Scotch B. Parmanto Center for Biomedical Informatics University of Pittsburgh Pittsburgh PA USA Department of Health Information Management University of Pittsburgh Pittsburgh PA USA

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： visualization Information analysis Public healthcare Geographic Information Systems data analysis Multidimensional systems Performance analysis Information systems Displays data warehouses

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Scopira: a pattern recognition application framework for biomedical datasets

Scopira: a pattern recognition application framework for bio...

引用

International conference on Machine Learning and Applications (ICMLA)

作者： R.A. Vivanco A. Demko N.J. Pizzi Institute for Biodiagnostics National Research Council Canada Canada

Machine learning techniques are widely used in the analysis of biomedical datasets. Modern devices tend to produce voluminous, high-dimensional datasets for which medical practitioners require high-performance, user-friendly programs and researchers need effective algorithm development and testing platforms. Interactive development systems, such as MATIAB, provide for rapid prototyping of algorithms and visualization but at the cost of computational efficiency. We present Scopira, a C++, open source programming framework for the development of biomedical data analysis applications.

关键词： Pattern recognition data analysis Biomedical imaging Machine learning algorithms Application software Machine learning MATLAB Prototypes data visualization Computational efficiency

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Coordinated parallel views for the exploratory analysis of microarray time-course data

Coordinated parallel views for the exploratory analysis of m...

引用

International conference on Coordinated and Multiple Views in Exploratory visualization

作者： P. Craig J. Kennedy A. Gumming School of Computing Napier University Edinburgh Scotland Edinburgh Napier University Edinburgh Edinburgh GB Sch. of Comput. Napier Univ. Edinburgh UK

Microarray time-course data relate to the recorded activity of thousands of genes, in parallel, over multiple discrete points in time during a biological process. Existing techniques that attempt to support the exploratory analysis of this data rely on static clustering views, interactive clustering views or coordinated clustering and graph views and are limited in that they fail to account for less dominant patterns in the data such as those that involve a subset of genes or a limited interval of the time-course. In this paper, we describe an alternative approach which avoids this limitation by using combined parallel views to present different complementary aspects of the data (i.e. timing, activity and change-in-activity). An example of how the views are combined to reveal significant patterns in the data (including those which cannot be found using clustering based techniques) is described and used to illustrate the benefits of combined parallel views to support exploratory-analysis of this type of data.

关键词： Biological processes Pattern analysis Timing data analysis data visualization Bioinformatics Biology computing Concurrent computing Failure analysis Genomics

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GAVis: a Tool for visualization and Control of Genetic Algorithms for -omic data analysis

GAVis: a Tool for Visualization and Control of Genetic Algor...

引用

Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： T.H. Stokes J.H. Phan W.M. Feng G. Tuteja M.D. Wang Wallace H. Coulter Biomedical Engineering Department Georgia Institute of Technology and Emory University Atlanta GA USA

A visualization and steering application, GAVis, has been developed to aid in understanding the behavior of and guiding the convergence of genetic algorithms running in parallel over long time periods. When classification techniques such as support vector machines (SVMs) paired with complete leave-one-out validation are used as a fitness function for identification of markers in -omic data, the time to complete one generation can exceed an hour on modern high-performance computing clusters. Separate solution populations on "islands" can help maintain a more diverse solution space and conveniently map to compute nodes on a cluster. Adjustments can be made at runtime to speed the convergence of genetic algorithms by stimulating lagging island populations with migrations of high-performing individuals or by selectively increasing mutation rates

关键词： data visualization Genetic algorithms data analysis Genetic mutations Biomedical engineering Support vector machines Support vector machine classification Runtime Bioinformatics Diseases

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GeoExpert A Framework for data Quality in Spatial databases

GeoExpert A Framework for Data Quality in Spatial Databases

引用

International conference on Computational Intelligence for Modelling, Control and Automation, and International conference on Intelligent Agents, Web Technologies and Internet Commerce

作者： A. Tadakaluru K. Andrew M. Mostafa A. Ernest Department of Computer Science Western Kentucky University USA Center for Water Resource Studies Western Kentucky University USA

Usage of very large sets of historical spatial data in knowledge discovery process became a common trend and in order to obtain better results from this knowledge discovery process the data should be of high quality. We proposed a framework for data quality assessment and cleansing tool for spatial data that integrates the spatial data visualization and analysis capabilities of the ARCGIS engine, the reason and inference capability of an expert system. In this paper, we explain the core architecture of the framework and also the functionality of each module in the framework. We explain the implementation details of the framework

关键词： Spatial databases data visualization Expert systems data analysis Quality assessment Computer science Water resources Engines Sediments Geographic Information Systems

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Compression of fMRI and ultrasound images using 4D SPIHT

Compression of fMRI and ultrasound images using 4D SPIHT

引用

IEEE International conference on Image Processing

作者： H.G. Lalgudi A. Bilgin M.W. Marcellin M.S. Nadar Electrical and Computer Engineering University of Arizona Tucson Tucson AZ USA Imaging and Visualization Department Siemens AG Corporate Research and Development Princeton NJ USA

There is increased use of medical imaging techniques that produce four dimensional (4D) datasets such as fMRI and 3D dynamic echocardiograms. These datasets consume even larger amounts of resources for transmission or storage compared to the traditional 2D data sets. In this paper, we extend the zero tree algorithms, EZW (embedded zero tree coding of wavelet coefficients) and SPIHT (set partitioning in hierarchical trees) to 4D to compress the 4D datasets more efficiently. Integer to integer wavelet transforms scaled by appropriate subband energy weights are used to get lossy to lossless compression. We also investigate the effects of lossy compression on the end result of fMRI analysis.

关键词： Image coding Ultrasonic imaging Magnetic resonance imaging Tree data structures Magnetic analysis Testing Biomedical engineering data engineering data visualization Biomedical imaging

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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...

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IEEE conference on visualization

作者： R.S. Laramee C. Garth H. Doleisch J. Schneider H. Hauser H. Hagen VRVis Research Center Vienna Austria Department of Computer Science University of Kaiserslautern Germany Department of Advanced Simulation Technologies (AST) AVL Graz Austria

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.

关键词： Fluid flow Cooling data visualization Feature extraction Heat engines Heat transfer Design engineering Geometry Computational fluid dynamics Computational modeling

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Improving information assimilation by modeling warfighter context

Improving information assimilation by modeling warfighter co...

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conference on Enabling Technologies for Simulation Science IX

作者： Zaientz, JD Wood, SD Hawkins, RL Soar Technol Inc Ann Arbor MI 48105 USA

ISBN: (纸本)0819457906

In order to wage successful campaigns, the next generation of intelligence analysts and battle commanders will need to assimilate an enormous amount of information that will come from a wide range of heterogeneous data sources. Complicating this problem further is the fact that warfighters need to be able to manage information in an environment of rapidly changing events and priorities. The consequence of not addressing this problem, or not addressing it as effectively as hostile forces do, is a potential loss of assets, personnel, or tactical advantage. To design effective information displays there needs to be an extensible framework that models the warfighters context including characteristics of the information sources being displayed, the current Intelligence Surveillance Reconnaissance (ISR) picture or Common Operating Picture (COP), the warfighters current state and task, and the state of the information display. BINAH (Battlespace Information and Notification through Adaptive Heuristics) uses an agent-based modeling approach coupled with research into temporal and spatial reasoning, novel display management techniques, and development of a formal high-level language for describing model-based information configuration. The result is an information configuration pipeline designed to provide perceptual and cognitive analysis support to Air Force analysts engaged in Time-Critical Targeting target nomination. It has been integrated with the Air Force Research Laboratory's (AFRL) XML-based Joint Battlespace Infosphere (JBI) combat information management system and combines JBI delivered sensor data with a local user model and display strategies to configure a geospatial information display. The BINAH framework will provide a firm grounding for developing new (CISR)-I-4 displays that maximize the ability of warfighters to assimilate the information presented.

关键词： data fusion command and control user modeling decision support information visualization Joint Battlespace Infosphere temporal reasoning spatial reasoning context-aware computing

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Opening the can of worms: an exploration tool for vortical flows

Opening the can of worms: an exploration tool for vortical f...

引用

IEEE conference on visualization

作者： S. Stegmaier U. Rist T. Ertl Institute for Visualization and Interactive Systems University of Stuttgart Germany Institute for Aerodynamics and Gasdynamics University of Stuttgart Germany

Gaining a comprehensive understanding of turbulent flows still poses one of the great challenges in fluid dynamics. A well-established approach to advance this research is the analysis of the vortex structures contained in the flow. In order to be able to perform this analysis efficiently, supporting visualization tools with clearly defined requirements are needed. In this paper, we present a visualization system which matches these requirements to a large extent. The system consists of two components. The first component analyzes the flow by means of a novel combination of vortex core line detection and the /spl lambda//sub 2/ method. The second component is a vortex browser which allows for an interactive exploration and manipulation of the vortices detected and separated during the first phase. Our system improves the reliability and applicability of existing vortex detection methods and allows for a more efficient study of vortical flows which is demonstrated in an evaluation performed by experts.

关键词： data visualization Aerodynamics Computational modeling Isosurfaces Interactive systems Computer graphics Computer worms Performance analysis Phase detection Performance evaluation

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IGES Interface for Medical 3-D Volume data

IGES Interface for Medical 3-D Volume Data

引用

Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Gong Chen Hong Yi Zhonghua Ni Mechanical Dept. of South-east University Nanjing CHINA South-East University China South-east University Mechanical Dept. of South-east University

Although there are many medical image processing and virtual surgery systems that provide rather consummate 3D-visualization and data manipulation techniques, few of them can export the volume data for engineering analyze. The thesis presents an interface implementing IGES (initial graphics exchange specification). Volume data such as bones, skins and other tissues can be exported as IGES files to be directly used for engineering analysis

关键词： data engineering Biomedical imaging Biomedical image processing Surgery Biomedical engineering data analysis Image analysis Graphics Bones Skin

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