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检索条件"任意字段=Conference on Visualization and Data Analysis 2011"

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Energy-Saving Wall Materials database and data analysis

Energy-Saving Wall Materials Database and Data Analysis

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2011 2nd International conference on Advances in Energy Engineering(ICAEE)

作者： Zhu Wei Tian Meixia Hu xiaojun Zhejiang University City College Zhejiang Economic and Trade Polytechnic

A new energy-saving wall materials database was established based on the records of the construction *** the analysis of the data,it was found that most of the new wall materials had fall out by the market selection since 1994,and the large scale constructions had more will to use new energy-saving wall materials than the will of small scale *** database had also created a visualization application based on GIS to help the administration to make the policy more comfortably.

关键词： Energy-saving Construction wall material data analysis Policy

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Describing Temporal Correlation Spatially in a Visual Analytics Environment

Describing Temporal Correlation Spatially in a Visual Analyt...

引用

Annual Hawaii International conference on System Sciences (HICSS)

作者： Abish Malik Ross Maciejewski Erin Hodgess David S. Ebert Visualization and Analytics Center (PURVAC) Purdue University USA University of Houston Downtown USA

In generating and exploring hypotheses, analysts often want to know about the relationship between data values across time and space. Often, the analysis begins at a world level view in which the overall temporal trend of the data is analyzed and linear correlations between various factors are explored. However, such an analysis often fails to take into account the underlying spatial structure within the data. In this work, we present an interactive visual analytics system for exploring temporal linear correlations across a variety of spatial aggregations. Users can interactively select temporal regions of interest within a calendar view window. The correlation coefficient between the selected time series is automatically calculated and the resultant value is displayed to the user. Simultaneously, a linked geospatial viewing window of the data provides information on the temporal linear correlations of the selected spatial aggregation level. Linear correlation values between time series are displayed as a choropleth map using a divergent color scheme. Furthermore, the statistical significance of each linear correlation value is calculated and regions in which the correlation value falls within the 95% confidence interval are highlighted. In this manner, analysts are able to explore both the global temporal linear correlations, as well as the underlying spatial factors that may be influencing the overall trend.

关键词： Correlation Time series analysis Visual analytics data visualization

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A data Management Tool for Virtual Screening on Grid

A Data Management Tool for Virtual Screening on Grid

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ChinaGrid Annual conference (ChinaGrid)

作者： Ying Zhang Ruisheng Zhang Jiuqiang Chen Chengda Yuan Jingwei Li Yan Zhang Guangcai Liu Engineering Research Center of Open Source Software and Real-time Systems Ministry of Education School of Information Science and Engineering Lanzhou University Lanzhou China

The popularity of the grid computing meets the requirement of intensive computing in virtual screening and speeds up the drug development process greatly. However, there is a great challenge to manage large-scale small molecules from different heterogeneous databases for virtual screening on grid. Additionally, the collection and analysis of a great quantity of distributed result data turned out to be a heavy task. Therefore, in this paper we developed a data management tool for virtual screening on grid called DMTFVS. It provides a uniform and integrated framework to integrate several heterogeneous databases and supports conversion among a variety of molecular file formats. DMTFVS also implements a visualization client for chemists to search or edit molecules conveniently. Furthermore, DMTFVS is capable of collecting and analysing the massive result files, which are distributed on each Grid node, to help chemists view virtual screening result for further screening. Finally the DMTFVS has been proved the availability and efficiency in practice.

关键词： data visualization Distributed databases Chemicals Computer architecture data mining Visual databases

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Design and implementation of data function and management system for EUMETCast

Design and implementation of data function and management sy...

引用

International conference on Computer Science and Service System (CSSS)

作者： Hongquan Xie Hua Wei Yingfeng Su School of Geodesy & Geomatics Engineering Huaihai Institute of Technology Lianyungang China Department of Resource and Environment Baoding University Baoding China Beijing Ultrasoft Information Technology Company Limited Beijing China

ISBN: (纸本)9781424497621

EUMETCast data has higher real-time, and its products have been widely due to numerical weather prediction model. Although the National Satellite Meteorological Center has been authorized to receive data, because of various data formats, file slice distribution, for data management and application are very inconvenient. Therefore, the establishment of a business application system EUMETCast automatic data processing and standardization of storage, visualization sharing become an urgent problem. In this paper, the core business processes to system analysis and description, based on the overall technical architecture describes the system operating environment and system design. Four aspects of the functionality of the system were described in detail, and finally the four sub-systems to achieve results of EUMETCast data Management System were introduced. At present, the business system is stable, EUMETCast meteorological and environmental data for the majority of researchers analyzed the daily operations and scientific research has brought greatly facilitated.

关键词： Satellites Business data processing data visualization Information technology Industries Geodesy

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Ontology based web search results visualization using BSDSC

Ontology based web search results visualization using BSDSC

引用

International conference on Electronic Computer Technology

作者： S. K. Jayanthi S. Prema Department of Computer Science Vellalar College for Women Erode Tamil Nadu India Department of Computer Science K. S. R. College of Arts and Science Namakkal Tamil Nadu India

In a scenario where WWW has become more important every day, to have a clear and well organized web site has become one of the vital goals of enterprises and organizations on the Web. On enterprises' side goals are make more profits by reducing costs or increasing incomes. In the case of content-based web sites their goals is to spread its contents among web users. An automatic ontology learning method is developed for the search engine result analysis, which trains ontology with world knowledge of hundreds of different subjects in a multilevel taxonomy. This ontology is then mined to find important classification rules, and these rules are used to perform an extensive analysis of the content of the largest general-purpose Internet search engines in use today. Instead of representing collections as a set of terms, which commonly occurs in collection selection, they are represented as a set of subjects, leading to a more robust representation of information and a decrease of synonymy. Parallelizing the web search results incorporated with Bookshelf data Structure owe to the simplistic applicability of the aforementioned strategy, and the use of simple data structure. The method was also used to analyze the content of the most popular search engines in use today, including Google and Yahoo. In conclusion, this research paper focus on the ontology based semantic web search results visualization using BSDSC(Book Shelf data Structure Code) based on BookShelf data Structure. Finally, the search results are presented in visual mode, which allows a user to navigate between extracted schemas.

关键词： Ontologies Search engines data structures data visualization Semantic Web

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Volume visualization and Exploration Based on Semi-automatic Multidimensional Transfer Function Design

Volume Visualization and Exploration Based on Semi-automatic...

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International conference on Knowledge and Systems Engineering (KSE)

作者： Tran Van Long University of Transport and Communications Hanoi Vietnam

Exploration and analysis of scalar and multivariate volume data play an important role in different domains from physical simulations to medical treatments. In visual analytics of volumetric data sets we need to define a multidimenional transfer functions. This is a challenging task because of the difficulty in understanding multiple attribute spaces and displaying in physical three dimension space. Frequently, the transfer function is designed based on mapping one or two dimensional space to color properties (RGB) and opacity (A). We propose visualization and interaction methods for analyzing individual clusters as well as cluster distribution within and across levels in the cluster hierarchy. We also provide a clustering method that operates on density rather than individual records. We compute density in the given multidimensional multivariate space. Clusters are formed by areas of high density. We present an approach that automatically computes a hierarchical tree of high density clusters. To visually represent the cluster hierarchy, we present a 2D radial layout that supports an intuitive understanding of the distribution structure of the multidimensional multivariate data set. We apply a semi-automatic coloring scheme based on the 2D radial layout of the hierarchical cluster tree encoding hue, saturation, and value of the HSV color space. The system support an easily method to define the multidimensional transfer function over entire multidimensional attributes space. Finally, the surface extract by applying marching cube methods.

关键词： Transfer functions data visualization Clustering algorithms Rendering (computer graphics) Image color analysis Partitioning algorithms Density functional theory

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Mapping an epidemic outbreak: Effective analysis and presentation

Mapping an epidemic outbreak: Effective analysis and present...

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IEEE Symposium on Visual Analytics Science and Technology (VAST)

作者： Kevin Boone Edward Swing Vision Systems & Technology Inc. a SAS Company USA

The microblog challenge presented an opportunity to use commercial software for visual analysis. An epidemic outbreak occurred in the city of Vastopolis, requiring visualizations of symptoms and their spread over time. Using these tools, analysts could successfully identify the outbreak's origin and pattern of dispersion. The maps used to analyze the data and present the results provided clear, easily understood representations, and presented a logical explanation of a complex progression of events.

关键词： data visualization Bridges Stomach Synthetic aperture sonar Software Dispersion Rivers

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Immersive ParaView: A community-based, immersive, universal scientific visualization application

Immersive ParaView: A community-based, immersive, universal ...

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IEEE Annual International Symposium Virtual Reality

作者： Nikhil Shetty Aashish Chaudhary Daniel Coming William R. Sherman Patrick O'Leary Eric T. Whiting Simon Su Kitware Inc. Desert Research Institute Reno Desert Research Institute Indiana University USA Idaho National Laboratory Idaho National Laboratory USA National Oceanic and Atmospheric Administration USA

The availability of low-cost virtual reality (VR) systems coupled with a growing population of researchers accustomed to newer interface styles makes this a ripe time to help domain science researchers cross the bridge to utilizing immersive interfaces. The logical next step is for scientists, engineers, doctors, etc. to incorporate immersive visualization into their exploration and analysis workflows. However, from past experience, we know having access to equipment is not sufficient. There are also several software hurdles to overcome. Obstacles must be lowered to provide scientists, engineers, and medical professionals low-risk means of exploring technologies beyond their desktops.

关键词： data visualization Servers visualization Open source software Cameras Rendering (computer graphics) Three dimensional displays

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Research and implementation of tunnel three-dimensional modeling algorithm based on java3D

Research and implementation of tunnel three-dimensional mode...

引用

International conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)

作者： Maoyi Tian Xiushan Lu Qian Zhao Xing Wang Ning Huazhan Geomatics College Shandong University of Science & Technology Qingdao China Binzhou Water Survey&Design Research Institute Binzhou Bureau of Water Resources Binzhou China

ISBN: (纸本)9781457705359

The paper according to the actual situation of tunnels establishes six models, line tunnel, curve tunnel, link tunnel, vertical tunnel, trigeminal tunnel and binary tunnel based on tunnel midline, designs a general data structure for different section, and the corresponding algorithm of the acquisition for cross-section data of six kinds of model based on the section method. Finally, author implements java3d to program the model algorithm, and realizes the tunnel 3D visualization, and provides a new method for building tunnel 3D model in establishing digital mining 3D visualization platform.

关键词： Solid modeling data models Three dimensional displays Unified modeling language data structures Algorithm design and analysis Computational modeling

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visualization System for Log analysis with Probabilities of Incorrect Operation

Visualization System for Log Analysis with Probabilities of ...

引用

International conference on Parallel and Distributed Systems (ICPADS)

作者： Chifumi Nishioka Masahiro Kozaki Ken-ichi Okada Graduate School of Science and Technology Keio University Yokohama Japan Faculty of Science and Technology Keio University Yokohama Japan

As advancement of information society, information leakages grow into a serious problem. It is important for security managers to analysis log-files for finding out cause of leakages promptly. Existing methods of presenting log-files take the method of ordering them in time. It makes easy to understand a flow of operations. However, if a log recording an incorrect operation is included in the back of log-file, finding out it may drop back. To address this problem, this paper presents visualization system for log analysis with probabilities of incorrect operation. Incorrect operations are operations that may cause a security incident. Probabilities of incorrect operation are set up by rate of number of incorrect operations in past log-files. Security analysts set order of priority, and logs are sorted. Also, we introduce Visualize Part to help security analysts understand a flow of operations in spite of not ordering logs in time. We aim to contribute speedy security analyses by combine visualizing log-file with probabilities of incorrect operation. To evaluate our proposal, accuracy and efficiency are measured by user experiment. Our proposal tool was compared with the tool without probabilities of incorrect operation. As the result, in terms of accuracy, there are no significant difference between. However, our proposal demonstrate a 39.5% improved efficiency.

关键词： Security Proposals data visualization Servers visualization Probability Sorting

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