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International Symposium on Future I&C for Nuclear Power Plants（ISOFIC2014）

作者： Sukyoung Pak Gyunyoung Heo Jung Taek Kim Department of Nuclear Engineering Kyung Hee University Korea Atomic Energy Research Institute

I&C systems should provide the reliable information particularly when an accident occurs and operators should also take action to mitigate the accident by identifying the cause of ***,incorrect information might be provided due to malfunction or failure of safety system caused by an ***,operators get confused and it made difficult for them to take appropriate *** they fail to grasp the exact information of progress then it might lead to spread of ***,we propose the idea that enables to identify safety system malfunctions or failures in such environment impossible to guarantee of safety *** identifying the malfunctions or failures of a safety system,the correlation visualization which shows linear relationship between parameters is *** correlation visualization results show different images with various scenarios,so it determines which system has problem to *** we can identify the safety system operability by the comparison of the correlation visualization ***,we can determine specifically which parameter shows abnormal signal using correlation visualization after identifying the operability of safety *** methodology can determine the situation by viewing the overall signals and include the result robustly though incorrect signal input to the *** methodology is demonstrated through case study by specifying SBLOCA as an initiating event that is judged greater contribution of severe *** accident data are obtained according to operability of safety system and confirmed a feasibility of idea by applying to case *** reliability of I&C system can be improved using suggested *** a result,this research can be helpful in accident response and management if safety system malfunctioned when an accident occurred.

关键词： detection operability of system correlation visualization

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Judging correlation from scatterplots and parallel coordinate plots

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INFORMATION visualization 2010年第1期9卷 13-30页

作者： Li, Jing Martens, Jean-Bernard van Wijk, Jarke J. Eindhoven Univ Technol Dept Math & Comp Sci NL-5600 MB Eindhoven Netherlands Eindhoven Univ Technol Dept Ind Design NL-5600 MB Eindhoven Netherlands

Scatterplots and parallel coordinate plots (PCPs) that can both be used to assess correlation visually. In this paper, we compare these two visualization methods in a controlled user experiment. More specifically, 25 participants were asked to report observed correlation as a function of the sample correlation under varying conditions of visualization method, sample size and observation time. A statistical model is proposed to describe the correlation judgment process. The accuracy and the bias in the judgments in different conditions are established by interpreting the parameters in this model. A discriminability index is proposed to characterize the performance accuracy in each experimental condition. Moreover, a statistical test is applied to derive whether or not the human sensation scale differs from a theoretically optimal (that is, unbiased) judgment scale. Based on these analyses, we conclude that users can reliably distinguish twice as many different correlation levels when using scatterplots as when using PCPs. We also find that there is a bias towards reporting negative correlations when using PCPs. Therefore, we conclude that scatterplots are more effective than parallel plots in supporting visual correlation analysis. Information visualization (2010) 9, 13-30. doi: 10.1057/ivs.2008.13

关键词： correlation visualization scatterplots parallel coordinate plots evaluation of visualization perception of correlation statistical graphs

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correlation Coordinate Plots: Efficient Layouts for correlation Tasks 11

Correlation Coordinate Plots: Efficient Layouts for Correlat...

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11th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)

作者： Hoa Nguyen Rosen, Paul Univ Utah Sci Comp & Imaging Inst Salt Lake City UT 84112 USA Univ S Florida Dept Comp Sci & Engn Tampa FL USA

ISBN: (纸本)9783319648705;9783319648699

correlation is a powerful measure of relationships assisting in estimating trends and making forecasts. It's use is widespread, being a critical data analysis component of fields including science, engineering, and business. Unfortunately, visualization methods used to identify and estimate correlation are designed to be general, supporting many visualization tasks. Due in large part to their generality, they do not provide the most efficient interface, in terms of speed and accuracy for correlation identifying. To address this shortcoming, we first propose a new correlation task-specific visual design called correlation Coordinate Plots (CCPs). CCPs transform data into a powerful coordinate system for estimating the direction and strength of correlation. To extend the functionality of this approach to multiple attribute datasets, we propose two approaches. The first design is the Snowflake visualization, a focus+context layout for exploring all pairwise correlations. The second design enhances the CCP by using principal component analysis to project multiple attributes. We validate CCP by applying it to real-world data sets and test its performance in correlation-specific tasks through an extensive user study that showed improvement in both accuracy and speed of correlation identification.

关键词： correlation identification correlation visualization Multidimensional data visualization

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Visualizing Multiple Program Executions to Assist Behavior Verification

Visualizing Multiple Program Executions to Assist Behavior V...

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3rd International Conference on Secure Software Integration and Reliability Improvement

作者： Zhao, Chunying Zhang, Kang Hao, He Wong, W. Eric Univ Texas Dallas Dept Comp Sci Richardson TX 75083 USA

ISBN: (纸本)9780769537580

visualization techniques have been widely used in representing software artifacts. They play a central role in conveying program information to software developers. While numerous tools have been developed to visualize information such as static software architectures, dynamic program behaviors, and debugging processes, little attention has been paid to visualizing correlations and variations among program representations. This paper investigates the visualization of cross-references across multiple program executions based upon different testing inputs so that meaningful and viewable properties can be presented to the viewpoint from different perspectives. Visualizing such a comparison can help feature location and program behavior verification. It also helps programmers better understand and test their software which can have a significant impact on improving its reliability.

关键词： software visualization dynamic behavior comparison correlation visualization

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Visualizing Edge-Edge Relations in Graphs

Visualizing Edge-Edge Relations in Graphs

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6th IEEE Symposium on Pacific visualization (PacificVis)

作者： Vehlow, Corinna Hasenauer, Jan Theis, Fabian J. Weiskopf, Daniel Univ Stuttgart VISUS Visualizat Res Ctr Stuttgart Germany Helmholtz Ctr Munich Inst Bioinfomat & Syst Biol Munich Germany

ISBN: (纸本)9781467347976

Graphs are used to model relations between sets of objects. Objects are represented by vertices and relations by edges of the graph. Besides vertex-vertex relations, in some application domains also relations between edges exist. Our new visualization approach supports the investigation of both relation types in one diagram. Edge-edge relations are visualized as curves that are directly integrated into the node-link diagram that represents the object-relation structure. In contrast, vertex-vertex relations are illustrated distinguishably from edge-edge relations using straight links as representations. While the shape of links is used to differentiate between the relation types, the weights of the edge-edge relations are mapped to the width and color of the curves. To facilitate an extensive analysis of interrelations, our approach incorporates several interaction techniques that can be used for filtering and highlighting. The usability of our visualization is demonstrated with two case studies in the application domains of bioinformatics and financial services.

关键词： Graph visualization correlation visualization multivariate graph data

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Visualizing Multiple Program Executions to Assist Behavior Verification

Visualizing Multiple Program Executions to Assist Behavior V...

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IEEE international conference on secure integration and reliability improvement

作者： Chunying Zhao Kang Zhang Jie Hao W. Eric Wong Department of Computer Science The University of Texas at Dallas Richardson TX USA

ISBN: (纸本)9780769537580

visualization techniques have been widely used in representing software artifacts. They play a central role in conveying program information to software developers. While numerous tools have been developed to visualize information such as static software architectures, dynamic program behaviors,and debugging processes, little attention has been paid to visualizing correlations and variations among program representations. This paper investigates the visualization of cross-references across multiple program executions based upon different testing inputs so that meaningful and viewable properties can be presented to the viewpoint from different perspectives. Visualizing such a comparison can help feature location and program behavior verification. It also helps programmers better understand and test their software which can have a significant impact on improving its reliability.

关键词： software visualization dynamic behavior comparison correlation visualization

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