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共 611 条记录，以下是421-430 订阅

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Interactive visual analysis and exploration of injection systems simulations

Interactive visual analysis and exploration of injection sys...

引用

IEEE conference on visualization

作者： K. Matkovic M. Jelovic J. Juric Z. Konyha D. Gracanin VRVis Research Center Vienna Austria

Simulations often generate large amounts of data that require use of SciVis techniques for effective exploration of simulation results. In some cases, like 1D theory of fluid dynamics, conventional SciVis techniques are not very useful. One such example is a simulation of injection systems that is becoming more and more important due to an increasingly restrictive emission regulations. There are many parameters and correlations among them that influence the simulation results. We describe how basic information visualization techniques can help in visualizing, understanding and analyzing this kind of data. The Com Vis tool is developed and used to analyze and explore the data. Com Vis supports multiple linked views and common information visualization displays such as 2D and 3D scatter-plot, histogram, parallel coordinates, pie-chart, etc. A diesel common rail injector with 2/2 way valve is used for a case study. data sets were generated using a commercially available AVL HYDSIM simulation tool for dynamic analysis of hydraulic and hydro-mechanical systems, with the main application area in the simulation of fuel injection systems.

关键词： Analytical models data visualization Fluid dynamics Information analysis Three dimensional displays Two dimensional displays Scattering Histograms Rails Valves

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Combining metrics data and the structure of UML models using GIS visualization approaches

Combining metrics data and the structure of UML models using...

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International conference on Information Technology: Coding and Computing (ITCC)

作者： C. Lange M. Chaudron Department of Mathematics and Computer Science Technische Universiteit Eindhoven Eindhoven Netherlands

UML models describe the structure and behavior of existing or future software systems. In addition to the UML model, developers consult metrics and other attribute data for evaluation and analysis purposes. In hitherto techniques, attribute data and structural data in the diagrams of the UML model is split in different representations. For the process of evaluation of a system the attribute data must be combined with the structural data. Geographical information systems (GIS) deploy visualization techniques to combine these different types of data. We propose a set of visualization techniques adopted from GIS to enrich UML models with attribute data. Advantages and examples of the visualizations are discussed, as well as limitations to the applicability. Especially the technique where colors represent attribute values of elements seems promising.

关键词： Unified modeling language Geographic Information Systems data visualization Software measurement Software systems Information systems Software metrics data analysis Cognition Mathematical model

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Comparison of blind source separation algorithms for FMRI using a new Matlab toolbox: GIFT

Comparison of blind source separation algorithms for FMRI us...

引用

International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： N. Correa T. Adali Yi-Ou Li V.D. Calhoun Department of CSEE University of Maryland Baltimore County Baltimore MD USA Yale University New Heaven CT USA Olin Neuropsychiatry Research Center Institute of Living Hartford CT USA

We study the performance of five blind source separation (BSS) algorithms when applied to analysis of functional magnetic resonance imaging (fMRI) data. We introduce a Matlab-based toolbox, the group ICA of fMRI toolbox (GIFT), which enables analysis of groups of subjects using BSS algorithms, in particular those based on independent component analysis (ICA). We use the visualization and computational tools included in GIFT to quantitatively analyze the performance of different BSS algorithms for fMRI analysis and discuss the results.

关键词： Blind source separation Independent component analysis Algorithm design and analysis Source separation Magnetic analysis Performance analysis Image analysis Magnetic resonance imaging Computer languages data visualization

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Information and data Management and analysis for Large Systems

Information and Data Management and Analysis for Large Syste...

引用

Annual Hawaii International conference on System Sciences (HICSS)

作者： T.J. Overbye Department of Electrical & Computer Engineering University of Illinois Urbana-Champaign Urbana-Champaign IL USA

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visualization for Power Systems Operation for Economic Energy Interchange in Power Pools

Visualization for Power Systems Operation for Economic Energ...

引用

IEEE India conference (INDICON)

作者： A. Vashisht K.S. Swarup Department of Electrical Engineering Indian Institute of Technology Madras India

Effective power system operation requires engineers and operator to analyze large amounts of multivariate data. Power system studies have a need for effective visualization software to display large amounts of information on the screen. The visualization tools encountered by many power system operators and engineers have evolved little beyond tabular displays and the one-line diagram. Java-based visualization of power system operation is presented. In addition to the single line diagram, various new approaches including contouring, addition of dynamically sized components, adding an extra dimension to the plot using various 3D Application Programming Interfaces (APIs), such as OpenGL are described. Two case studies of Economic Energy Interchange in a Power Pool with Energy brokerage and load flow are considered to illustrate the working of the proposed technique.

关键词： Power systems Power system economics Power generation economics Power markets Power system analysis computing data visualization Power engineering and energy Systems engineering and theory Large screen displays Power system dynamics

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Low overhead high performance runtime monitoring of collective communication

Low overhead high performance runtime monitoring of collecti...

引用

International conference on Parallel Processing (ICPP)

作者： L.A. Bongo O.J. Anshus J.M. Bjoerndalen Department of Computer Science University of Tromsø Norway UiT Norges arktiske universitet Tromso Troms NO Dept. of Comput. Sci. Tromso Univ. Norway

Scalability of parallel applications on clusters and multi-clusters is often limited by communication performance. Message tracing can provide data for understanding bottlenecks, and for performance tuning. However, it requires collecting, storing, analyzing, and transferring potentially gigabytes of data. We have designed the EventSpace system for low overhead and high performance runtime collective communication trace analysis. EventSpace separates the perturbation and performance requirements of data collection, analysis, gathering sand visualization. data collection overhead is low since the minimum amount of data is recorded and stored temporarily in main memory. The recorded data is either discarded or analyzed on demand using available cluster resources. analysis is distributed for high performance, and coscheduled with the computation and communication system threads for low perturbation. Gathering of analyzed data is done using extensible collective communication operations, which can be tuned to trade off between performance and monitoring overhead. EventSpace was used to do run-time monitoring and analysis of collective communication micro-benchmarks run on clusters, multi-clusters, and multi-clusters with emulated WAN links. Performance data was collected, analyzed and gathered with 0-3% monitoring overhead.

关键词： Runtime Monitoring Performance analysis data analysis Scalability data visualization Distributed computing High performance computing Yarn Wide area networks

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visualization for high-dimensional data: VisHD

Visualization for high-dimensional data: VisHD

引用

International conference on Information Visualisation (IV)

作者： Cheng-Chih Yang Cheng-Chieh Chiang Yi-Ping Hung G.C. Lee Department of Computer Science and Information Engineering National Taiwan University Taiwan Department of Information and Computer Education National Taiwan Normal University Taiwan

This paper presents a visualization tool, VisHD, that can visualize the spatial distribution of vector points in high dimensional feature space. It is important to handle high dimensional information in many areas of computer science. VisHD provides several methods for dimension reduction in order to map the data from high dimensional space to low dimensional one. Next, this system builds intuitive visualization for observing the characteristics of the data set, whether these data are pre-defined labels or not. In addition, some useful functions have been implemented to facilitate the information visualization. This paper, finally, gives some experiments and discussions for showing the abilities of VisHD for visualizing high-dimensional data.

关键词： data visualization Computer science Distributed computing Computer science education Information technology Educational institutions Space technology Shape Visual perception data analysis

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Visual data analysis using tracked statistical measures within parallel coordinate representations

Visual data analysis using tracked statistical measures with...

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International conference on Coordinated and Multiple Views in Exploratory visualization

作者： D. Ericson J. Johansson M. Cooper NVIS-Norrköping Visualization and Interaction Studio Linköping University Linkoping Sweden

With our increasing ability to capture or produce and to store large multivariate data, these data sets are increasing both in size and complexity. Many conventional techniques for visualizing multivariate data suffer from problems like cluttered displays since they are not designed to handle these amounts of entries. We present a novel method to overcome this problem by interactively selecting and displaying statistics derived from the data in a separate view. Changes in the display are visually tracked by animation and vector plotting for easy comparison of various measures applied to different subsets of the data.

关键词： data analysis Coordinate measuring machines data visualization Statistics Animation Graphical user interfaces Brushes Two dimensional displays Measurement standards data mining

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Feature selection and condition monitoring of gearbox using SOM

Feature selection and condition monitoring of gearbox using ...

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International Joint conference on Neural Networks (IJCNN)

作者： Guanglan Liao Tielin Shi Jianping Xuan School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China

Feature selection is a key issue to pattern recognition and condition monitoring. This paper presents an investigation that uses self-organizing maps network to realize feature selection for gearbox condition monitoring. In order to visualize the trained SOM results more clearly, a novel visualization technique is introduced, which can project the high-dimensional input vectors into a 2-dimensional space and prepare a good basis for further analysis. Then with the use of the responses of every dimensional feature in SOM network neurons weights to the input data evaluated according to the Euclidean distances between them, the feature sets being sensitive to pattern recognition are selected. Gearbox vibration signals measured under different operating conditions are analyzed with the method. The results demonstrate that the method selects sensitive feature sets effectively and has a good potential for gearbox condition monitoring in practice.

关键词： Condition monitoring Pattern recognition Fault diagnosis data visualization Self organizing feature maps Vibration measurement Gears Independent component analysis data mining Signal to noise ratio

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Identifying critical focuses in research domains

Identifying critical focuses in research domains

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International conference on Information Visualisation (IV)

作者： Tsung Teng Chen Liang Qi Xie Graduate Institute of Information Management National Taipei University Taiwan

Citation analysis has been applied in various contexts for different purposes such as impact factors estimation, co-citation pattern analysis, community partitioning, and knowledge visualization etc. We employed graph theory and authoritative sources identification techniques, augmented with visualization tools to discover critical research focuses from the citation graph. The citation graph was built from data retrieved from the CiteSeer database via a querying robot. Two experiments were carried out to identify important research focuses from the citation graph with promising results. Established research focuses as well as new research focuses were successfully identified by the method we proposed and tried. Researchers new to a field may use this method to locate important literature in various fields, which in turn facilitates their learning and studying.

关键词： Citation analysis data mining data visualization Graph theory Information management Pattern analysis Information retrieval Visual databases Robots Explosives

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