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检索条件"任意字段=IEEE Information Visualization Conference/IEEE Visualization Conference"

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Integration of ChronoView with pseudo MDS for visualization of Temporal Data 22

Integration of ChronoView with pseudo MDS for Visualization ...

引用

22nd International conference information Visualisation (IV) - Biomedical visualization, Visualisation on Built and Rural Environments and Geometric Modelling and Imaging

作者： Anzai, Yasuhiro Misue, Kazuo Univ Tsukuba Dept Comp Sci Ibaraki Japan Univ Tsukuba Fac Engn Informat & Syst Ibaraki Japan

ISBN: (纸本)9781538672020

In several fields handling event data, exploring periodicity and similarity of the occurrence times of events is an important task. When we analyze event data, we often focus on temporal features of event groups, periodic features of events, and similarity of temporal features among event groups. This paper illustrates a visualization method to efficiently observe such features for multiple events. The method represents the temporal features of each event group with a glyph and represents the periodic features and their similarity with an arrangement of glyphs. To determine an arrangement of glyphs, a ChronoView graph representing periodic features of event groups is integrated with pseudo multidimensional scaling (MDS) in a 3D space. This paper also demonstrates the effectiveness of the visualization method for temporal data analysis with a use case exploring significant events from an actual dataset.

关键词： temporal data visual analytics ChronoView MDS glyph

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WGL-VANET: A Web-based visualization Tool for VANET Simulations

WGL-VANET: A Web-based Visualization Tool for VANET Simulati...

引用

ieee International conference on Vehicular Electronics and Safety (ICVES)

作者： Gocmenoglu, Can Acarman, Tankut Levrat, Bernard Univ Angers LERIA Angers France Galatasaray Univ Dept Comp Engn Istanbul Turkey

ISBN: (纸本)9781467391146

VANET Simulation schemes require a combination of mobility and wireless network simulation packages, coupled with custom scripts, visualization tools and various scenarios. The results of simulation studies need to be supported by special tools or scripts to analyze or visualize them easily. Some additional difficulties arise at sharing the results, visually comparing simulation runs across different platforms and showcasing the findings of a research to a larger audience. As a solution, we have developed a 3D Web-based visualization Tool for VANET Simulations (WGL-VANET), which takes advantage of HTML5 and WebGL technologies to create a cross-platform, easy-to-use and flexible visualization tool for VANET simulations. WGL-VANET reads simulation data from a JSON document and supports a variety of visual features, and displays the simulation run on a WebGL canvas inside a web-browser.

关键词： visualization

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Uncertainty visualization via Low-Dimensional Posterior Projections

Uncertainty Visualization via Low-Dimensional Posterior Proj...

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ieee/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Yair, Omer Nehme, Elias Michaeli, Tomer Technion Israel Inst Technol Haifa Israel

ISBN: (纸本)9798350353006

In ill-posed inverse problems, it is commonly desirable to obtain insight into the full spectrum of plausible solutions, rather than extracting only a single reconstruction. information about the plausible solutions and their likelihoods is encoded in the posterior distribution. However, for high-dimensional data, this distribution is challenging to visualize. In this work, we introduce a new approach for estimating and visualizing posteriors by employing energy-based models (EBMs) over low-dimensional subspaces. Specifically, we train a conditional EBM that receives an input measurement and a set of directions that span some low-dimensional subspace of solutions, and outputs the probability density function of the posterior within that space. We demonstrate the effectiveness of our method across a diverse range of datasets and image restoration problems, showcasing its strength in uncertainty quantification and visualization. As we show, our method outperforms a baseline that projects samples from a diffusion-based posterior sampler, while being orders of magnitude faster. Furthermore, it is more accurate than a baseline that assumes a Gaussian posterior. Code is available at https://***/yairomer/PPDE

关键词： Contrastive Divergence EBM Inverse problems Uncertainty

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[COMM]gregater: A Toolset for Temporal Communication Patterns and Dynamic Network Structure 10

[COMM]gregater: A Toolset for Temporal Communication Pattern...

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10th ieee conference on Visual Analytics Science and Technology (VAST)

作者： Tang, Hui Pan, Chao Yu, Bing Du, Weidan Wei, Shuang Li, Mingran Guo, Chen Cheng, Longjie Hu, Kai Zhang, Rongrong Li, XinZhe Chen, Yingjie Victor Qian, Zhenyu Cheryl Zhu, Yu Michael Purdue Univ Comp Graph Technol W Lafayette IN 47907 USA Purdue Univ Stat W Lafayette IN 47907 USA Purdue Univ Interact Design W Lafayette IN 47907 USA Harbin Inst Technol New Media Technol & Art Harbin 150006 Peoples R China

ISBN: (纸本)9781467397834

[COMM]gregater is a visual analytic toolset to analyze and identify the temporal communication patterns and dynamic network structure of a social network in the DinoFun Theme Park of the ieee VAST 2015 Mini Challenge 2. It synergizes the effectiveness of both graphical and statistical analytics to reveal important communication patterns. This paper introduces an effective way to visualize temporal data and draw basic hypothesis pertaining to the challenge questions.

关键词： Visual Analytics Temporal Pattern visualization information visualization User Interface

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In-Situ visualization and Computational Steering for Large-Scale Simulation of Turbulent Flows in Complex Geometries 2

In-Situ Visualization and Computational Steering for Large-S...

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ieee International conference on Big Data

作者： Yi, Hong Rasquin, Michel Fang, Jun Bolotnov, Igor A. Univ N Carolina Renaissance Comp Inst Chapel Hill NC 27517 USA Argonne Natl Lab Argonne Leadership Comp Facil Argonne IL 60439 USA Univ Colorado Dept Aerosp Engn Boulder CO 80309 USA North Carolina State Univ Dept Nucl Engn Raleigh NC 27695 USA

ISBN: (纸本)9781479956661

Large-scale simulations conducted on supercomputers such as leadership-class computing facilities allow researchers to simulate and study complex problems with high fidelity, and thus have become indispensable in diverse areas of science and engineering. These high-fidelity simulations generate vast amount of data which is becoming more and more difficult to transform into knowledge using traditional visual analysis approaches. For instance, there are tremendous challenges in analyzing big data produced by high-fidelity simulations in order to gain meaningful insight into complex phenomena such as turbulent two-phase flows. The traditional workflow, which consists in conducting simulations on supercomputers and recording enormous raw simulation data to disk for further post-processing and visualization, is no longer a viable approach due to prohibitive cost of disk access and considerable amount of time spent on data transfer. Visual Analytics approaches for big data have to be researched and employed to address the problem of knowledge discovery from such large-scale simulations. One approach to tackle this issue is to couple a numerical simulation with in-situ visualization so that the post-processing and visualization occurs while the simulation is running. This in-situ approach minimizes data storage by extracting and visualizing important features of the data directly within the simulation without saving the raw data to disk. In addition, in-situ visualization allows users to steer the simulation by adjusting input parameters while the simulation is ongoing. In this paper, we present our approach for in-situ visualization of simulation data generated by massively parallel finite-element computational fluid dynamics solver (PHASTA) instrumented and linked with ParaView Catalyst. We demonstrate our in-situ visualization and simulation steering capability with a fully resolved turbulent flow through 2 x 2 reactor subchannel complex geometry. In addition, we presen

关键词： Supercomputers

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Mr. Clean: a Tool for Tracking and Comparing the Lineage of Scientific visualization Code 2

Mr. Clean: a Tool for Tracking and Comparing the Lineage of ...

引用

2nd ieee Working conference on Software visualization (VISSOFT)

作者： Tartari, Giacomo Tiede, Lars Holsbo, Einar Knudsen, Kenneth Raknes, Inge Alexander Fjukstad, Bjorn Mode, Nicolle Bjorndalen, John Markus Lund, Eiliv Bongo, Lars Ailo Univ Tromso Dept Comp Sci N-9001 Tromso Norway Univ Tromso Ctr Bioinformat N-9001 Tromso Norway Univ Tromso Dept Community Med N-9001 Tromso Norway Univ Tromso Deptartment Chem Norstruct N-9001 Tromso Norway

ISBN: (纸本)9780769553054

visualization is a key step in scientific analysis and understanding in many fields. Scientific studies often require development of software that produces visualizations. However, as a study proceeds, the software evolves, and both developers and expert users have to periodically ascertain how code modifications affect visualization output and hence the results of the study. To our knowledge, no current visualization framework enables tracking and comparison of the lineage of scientific visualizations. We describe an approach for comparing and maintaining the code for scientific analysis and modeling through interactive comparison of visualization output. We have realized this approach in a tool called Mr. Clean. This tool provides a framework for combining different visualization tools, interaction devices, and display middleware for visual comparisons on high-resolution displays. Mr. Clean also provides user-configurable interactions supported by many devices. We provide use cases and a requirement analysis for our approach, and we describe the design and implementation of Mr. Clean. Source code is available at: https://***/UniversityofTromso/mrclean.

关键词： visualization

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Improving Big Data Visual Analytics with Interactive Virtual Reality

Improving Big Data Visual Analytics with Interactive Virtual...

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ieee High Performance Extreme Computing conference (HPEC)

作者： Moran, Andrew Gadepally, Vijay Hubbell, Matthew Kepner, Jeremy MIT Dept Elect Engn & Comp Sci Cambridge MA 02139 USA MIT Lincoln Lab Lexington MA 02173 USA

ISBN: (纸本)9781467392860

For decades, the growth and volume of digital data collection has made it challenging to digest large volumes of information and extract underlying structure. Coined 'Big Data', massive amounts of information has quite often been gathered inconsistently (e.g from many sources, of various forms, at different rates, etc.). These factors impede the practices of not only processing data, but also analyzing and displaying it in an efficient manner to the user. Many efforts have been completed in the data mining and visual analytics community to create effective ways to further improve analysis and achieve the knowledge desired for better understanding. Our approach for improved big data visual analytics is two-fold, focusing on both visualization and interaction. Given geo-tagged information, we are exploring the benefits of visualizing datasets in the original geospatial domain by utilizing a virtual reality platform. After running proven analytics on the data, we intend to represent the information in a more realistic 3D setting, where analysts can achieve an enhanced situational awareness and rely on familiar perceptions to draw in-depth conclusions on the dataset. In addition, developing a human-computer interface that responds to natural user actions and inputs creates a more intuitive environment. Tasks can be performed to manipulate the dataset and allow users to dive deeper upon request, adhering to desired demands and intentions. Due to the volume and popularity of social media, we developed a 3D tool visualizing Twitter on MIT's campus for analysis. Utilizing emerging technologies of today to create a fully immersive tool that promotes visualization and interaction can help ease the process of understanding and representing big data.

关键词： big data Twitter virtual reality visual analytics geospatial 3D visualization data analysis user interaction situational awareness

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Need for matching visualization techniques to client understanding in the UK construction industry

Need for matching visualization techniques to client underst...

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Proceedings of the 1997 International conference on information visualization, IV

作者： Ormerod, Marcus Aouad, Ghassan Univ of Salford Salford United Kingdom

An empirical study of the methods available for visualization of proposed building structures was undertaken at the University of Salford. This formed the basis for a structured survey of 103 construction related professionals. Their views were obtained on the mediums currently being used in the construction industry;the effectiveness of these mediums to communicate information;and the applicability of visualization techniques within their own organization. The results highlight the need for further investigation and research into visualization techniques, particularly in connection with the needs and understanding of construction industry clients. This corroborates the findings of the recent Latham Working Groups, who place great emphasis on the need for improved communication and image within the construction industry.

关键词： Computer simulation

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Publication Network visualization as an Approach for Interdisciplinary Innovation Management

Publication Network Visualization as an Approach for Interdi...

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ieee International Professional Communication conference (IPCC)

作者： Schaar, Anne Kathrin Valdez, Andre Calero Ziefle, Martina Rhein Westfal TH Aachen HCI Ctr Aachen Germany Rhein Westfal TH Aachen Commun Sci Aachen Germany

ISBN: (纸本)9781479900121

Interdisciplinary research is currently the central scientific approach, assumed to be the answer to large-scale research problems (e.g., health and aging, economics and production in high-wage countries). Although it is quite popular, there is still a lack of knowledge about how to measure, steer, support, and manage interdisciplinary success. This paper presents an approach to analyze, steer, and manage the structure and success of interdisciplinary cooperation by implementing a publication network visualization tool into an interdisciplinary research cluster. The presented study is an exploratory interview study addressing the significance of mixed node publication visualization usage within interdisciplinary teams. Members of a sample research group (N = 5) were asked to evaluate the publication visualization approach in order to find out more about the usefulness of such a tool for the interdisciplinary workflow. First results show that benefits of such a tool are seen in the ease of finding potential partners for cooperation. Barriers were seen, on the one hand, in the limitation of parameters that can be visualized, and on the other hand, in effects that could follow an implementation (e.g., pressure to publish, competition among team members, etc.).

关键词： Interdisciplinary innovation management interdisciplinary research network analysis self-measurement publication analysis

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Research on Mobile Medical Data Acquisition and Application Based on visualization

Research on Mobile Medical Data Acquisition and Application ...

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International conference on Robotics and Intelligent System (ICRIS)

作者： Liu, Yutao Cai, Hengyu Zhao, Hang Li, Guijie Jilin Univ China Japan Union Hosp Cent Sterile Supply Dept Changchun 130033 Jilin Peoples R China Jilin Univ China Japan Union Hosp Dept Hematol Oncol Changchun 130033 Jilin Peoples R China Jilin Univ China Japan Union Hosp Dept Neurosurg Changchun 130033 Jilin Peoples R China Jilin Univ China Japan Union Hosp Dept Otorhinolaryngol Head & Neck Surg Changchun 130033 Jilin Peoples R China

ISBN: (纸本)9781538665800

This article analyzes the basic thought and techniques of visualization through illustrating the definition of data visualization. By technical means, combined with the characteristics of mobile healthcare data, it discusses the current acquisition and application status of mobile healthcare data in the information era, analyzes its inadequacies, and proposes measures and direction for improvement in the acquisition, analysis and utilization of mobile medical data, which provide necessary reference for mobile medical data to play a more effective role in the medical and health field.

关键词： information Systems Mobile medical Wireless Technology

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