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A visualization framework for task-oriented modeling using UML

A visualization framework for task-oriented modeling using U...

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40th Annual Hawaii International conference on System Sciences 2007, HICSS'07

作者： Lange, Christian F. J. Wijns, Martijn A. M. Chaudron, Michel R. V. Department of Mathematics and Computer Science Technische Universiteit Eindhoven P.O. Box 513 5600 MB Eindhoven Netherlands

ISBN: (纸本)0769527558

The UML is a collection of 13 diagram notations to describe different views of a software system. The existing diagram types display model elements and their relations. Software engineering is becoming more and more model-centric, such that software engineers start using UML models for more tasks than just describing the system. Tasks such as analysis or prediction of system properties require additional information such as metrics of the UML model or from external sources, e.g. a version control system. In this paper we identify tasks of modelcentric software engineering and information that is required to fulfill these tasks. We propose views to visualize the information to support fulfilling the tasks. This paper reports on industrial case studies and a light-weight user experiment to validate the usefulness of the proposed views that are implemented in our MetricView Evolution tool. © 2007 IEEE.

关键词： data visualization

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Extension of mutual subspace method for low dimensional feature projection

Extension of mutual subspace method for low dimensional feat...

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IEEE International conference on Image Processing (ICIP 2007)

作者： Velikovic, Dragana Robbins, Kay A. Rubino, Doug Hatsopoulos, Nicholas G. Univ Texas San Antonio Dept Comp Sci San Antonio TX 78249 USA Univ Calif San Diego Dept Neurosci La Jolla CA 92093 USA Univ Chicago Dept Organismal Biol & Anat Chicago IL 60637 USA

ISBN: (纸本)9781424414369

Face recognition algorithms based on mutual subspace methods (MSM) map segmented faces to single points on a feature manifold and then apply manifold learning techniques to classify the results. This paper proposes a generic extension to MSM for analysis of features in high-throughput recordings. We apply this method to analyze short duration overlapping waves in synthetic data and multielectrode brain recordings. We compare different feature space topologies and projection techniques, including MDS, ISOMAP and Laplacian eigenmaps. Overall we find that ISOMAP shows the least sensitivity to noise and provides the best, association between distance in feature space and Euclidean distance in projection space. For non-noisy data, Laplacian eigemnaps show the least sensitivity to feature space topology.

关键词： feature extraction distance measurement multidimensional systems visualization

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A study of hippocampal shape difference between genders by efficient hypothesis test and discriminative deformation

A study of hippocampal shape difference between genders by e...

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10th International conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007)

作者： Zhou, Luping Hartley, Richard Lieby, Paulette Barnes, Nick Anstey, Kaarin Cherbuin, Nicolas Sachdev, Perminder Australian Natl Univ RSISE Canberra ACT 0200 Australia

ISBN: (纸本)9783540757566

Hypothesis testing is an important way to detect the statistical difference between two populations. In this paper, we use the Fisher permutation and bootstrap tests to differentiate hippocampal shape between genders. These methods are preferred to traditional hypothesis tests which impose assumptions on the distribution of the samples. An efficient algorithm is adopted to rapidly perform the exact tests. We extend this algorithm to multivariate data by projecting the original data onto an "informative direction" to generate a scalar test statistic. This "informative direction" is found to preserve the original discriminative information. This direction is further used in this paper to isolate the discriminative shape difference between classes from the individual variability, achieving a visualization of shape discrepancy.

关键词： Discriminant analysis

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ANDROMEDA: A MATLAB automated cDNA Microarray data analysis platform

ANDROMEDA: A MATLAB automated cDNA Microarray data analysis ...

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4th IFIP International conference on Artificial Intelligence Applications and Innovations

作者： Chatziioannou, Aristotelis Moulos, Panagiotis Natl Hellen Res Fdn Inst Biol Res & Biotechnol Metab Engn & Bioinformat Grp 48 Vassileos Constantinou Ave Athens 11635 Greece

ISBN: (纸本)9780387741604

DNA microarrays constitute a relatively new biological technology which allows gene expression profiling at a global level by measuring mRNA abundance. However, the grand complexity characterizing a microarray experiment entails the development of computationally powerful tools apt for probing the biological problem studied. ANDROMEDA (Automated aND RObust Microarray Experiment data analysis) is a MATLAB implemented program which performs all steps of typical microarray data analysis including noise filtering processes, background correction, data normalization, statistical selection of differentially expressed genes based on parametric or non parametric statistics and hierarchical cluster analysis resulting in detailed lists of differentially expressed genes and formed clusters through a strictly defined automated workflow. Along with the completely automated procedure, ANDROMEDA offers a variety of visualization options (MA plots, boxplots, clustering images etc). Emphasis is given to the output data format which contains a substantial amount of useful information and can be easily imported in a spreadsheet supporting software or incorporated in a relational database for further processing and data mining.

关键词： MATLAB

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Mixing evaluation methods for assessing the utility of an interactive InfoVis technique 1

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12th International conference on Human-Computer Interaction (HCI International 2007)

作者： Rester, Markus Pohl, Margit Wiltner, Sylvia Hinum, Klaus Miksch, Silvia Popow, Christian Ohmann, Susanne Vienna Univ Technol Inst Design & Assessment Technol Vienna Austria Vienna Univ Technol Inst Software Technol & Interact Vienna Austria Danube Univ Krems Dept Informat & Knowledge Engn Krems Austria Med Univ Vienna Dept Child & Adolescent Psychiat Vienna Austria

ISBN: (数字)9783540731054

ISBN: (纸本)9783540731047

We describe the results of an empirical study comparing an interactive Information visualization (InfoVis) technique called Gravi++ (GRAVI), Exploratory data analysis (EDA) and Machine Learning (ML). The application domain is the psychotherapeutic treatment of anorectic young women. The three techniques are supposed to support the therapists in finding the variables which influence success or failure in therapy. To evaluate the utility of the three techniques we developed on the one hand a report system which helped subjects to formulate and document in a self-directed manner the insights they gained when using the three techniques. On the other hand, focus groups were held with the subjects. The combination of these very different evaluation methods prevents jumping to false conclusions and enables for an comprehensive assessment of the tested techniques. The combined results indicate that the three techniques (EDA, ML, and GRAVI) are complementary and therefore should be used in conjunction.

关键词： information visualization evaluation utility focus groups insight reports methodology

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Test methods to visualize the break-down behaviour of sliding bearing materials

Test methods to visualize the break-down behaviour of slidin...

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2007 ASME/STLE International Joint Tribology conference, IJTC 2007

作者： Gruen, Florian Eichlseder, Wilfried Godor, Istvan Gaertner, Walter CD-Laboratory for Fatigue Analysis Leoben Austria University of Leoben Austria Miba Bearing Group Austria

ISBN: (纸本)0791848108

In the context of this work, testing methods of model scale size have been developed, which are based on the ring-on-disc system. These methods enable the visualization of the events in the sliding materials during operation and subsequent breakdown with high time resolution. Therefore, it is possible to visualize and analyze the events taking place at the time of failure. The new test method was benchmarked using the materials AlSn20Cu, CuPb22Sn2 and SnSb7.5Cu3.5. The resulting data enabled the generation of models that characterize the events of the different tribo-materials. Therefore, the proposed method supports the trial-and-error approach of material optimization. Copyright © 2007 by ASME.

关键词： Bearings (machine parts)

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A texture-based technique for DEM generation from LIDAR data

A texture-based technique for DEM generation from LIDAR data

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conference on Laser Radar Technology and Applications XII

作者： Charalampidis, Dimitrios Alphonso, Keith Univ New Orleans 2000 Lakeshore Dr New Orleans LA 70148 USA Diamond Data Syst New Orleans LA 70123 USA

ISBN: (纸本)9780819466723

Obtaining high resolution Digital Elevation Models (DEMs) is a critical task for analysis and visualization in several remote sensing applications. LIDAR technology provides an effective way for obtaining high-resolution topographic information. This paper presents a texture-based novel automatic algorithm for DEM generation from LIDAR data. The proposed technique uses multifractal-based textural features for object identification, combined with a maximum slope filter. Although this work is concentrated on DEM generation, certain aspects of the algorithm make it suitable for classification of LIDAR data into other types of data. Some experimental results are presented to illustrate the effectiveness of the proposed algorithm.

关键词： Digital Elevation Model LIDAR fractals texture

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Redundancy reduction in 3D facial motion capture data for animation 07

Redundancy reduction in 3D facial motion capture data for an...

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APGV 2007: 4th Symposium on Applied Perception in Graphics and visualization

作者： Wellein, Daniela I. Curio, Cristóbal Bülthoff, Heinrich H. Max Planck Institute for Biological Cybernetics Tübingen Germany ICCAS University of Leipzig

Research on the perception of dynamic faces often requires realtime animations with low latency. With an adaptation of principal feature analysis [Cohen et al. 2002], we can reduce the number of facial motion capture ... 详细信息

ISBN: (纸本)159593670X

关键词： Face recognition

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An interactive visualization system for analyzing spacecraft telemetry

An interactive visualization system for analyzing spacecraft...

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2007 IEEE Aerospace conference

作者： Cancro, George Turner, Russell Nguyen, Lilian Li, Angela Sibol, Deane Gersh, John Piatko, Christine Montemayor, Jaime McKerracher, Priscilla Johns Hopkins University Applied Physics Laboratory 11100 Johns Hopkins Road Laurel MD 20723-6099

ISBN: (纸本)1424405254

Traditionally, the diagnosis of spacecraft anomalies during test and flight is slow and not very thorough due to a limited view of telemetry. The process is an off-line, linear analysis of guessing a root cause and then attempting to verify the guess through identifying and plotting telemetry channels over the appropriate time period. The desire of mission operators and testers is to have a capability to analyze all telemetry channels simultaneously and then be able to freely move through time to cover the entire problem space. Current telemetry display systems, however, only allow an operator to examine on the order of 100 telemetry channels simultaneously from a real-time stream, through a rudimentary playback, or step control of a telemetry archive. This limitation increases the risk that anomalies will be missed and increases the time to determine the real root-cause of the problem. This paper discusses the development and implementation of a visualization system that facilitates a thorough review by enabling an operator to analyze all telemetry data by pattern. This system, called the STEREO Autonomy Visualizer (SAV) also enables the rapid review of data by using a 'real-time random access' method for viewing real-time and archive telemetry streams. By using the system, STEREO testers have identified bugs that other test review techniques have missed, and decreased the time necessary to perform test review by more than a factor of 5. In addition, use of this system has resulted in a greater understanding of the spacecraft through the visualization of inter-relationships between telemetry channels during faults in flight. © 2007 IEEE.

关键词： Spacecraft

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visualization in scientific computing in geology

Visualization in scientific computing in geology

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12th conference of the International-Association-for-Mathematical-Geology

作者： Huang, Zhi Yu, Xianchuan Wang, Guian Yang, Meng Beijing Normal Univ Coll Informat Sci & Tech Beijing 100875 Peoples R China

ISBN: (纸本)9780973422030

As a new technology applied widely, visualization in Scientific Computing (ViSC) is effective means to analyze the relationships of multidimensional data. ViSC is widely applied in geology. Traditional ViSC has been applied in many fields, such as drawing terrain, analyzing the distribution of minerals, constructing and displaying the 3D images of geologic deposit, analyzing the relationships of multidimensional data from prospecting, constructing oceanic basic geographical feature and so on. ViSC can simplified several kinds of researches by constructing visualization systems. This paper first introduces the applications of traditional ViSC in geology, on this basis, the paper analyzes and comprehends the latest development of ViSC and the latest technology, including handling multidimensional data, virtual realization systems, the improved algorithms of drawing images and so on, aggregates the applications of the new technology in geology, discusses the new theories and methods of visualization applied in geology.

关键词： Geology

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