CISE Research Instrumentation: Large-Scale Data Visualization and Management

CISE研究仪器：大规模数据可视化和管理 9729878 Ward，Matthew O. 伍斯特理工学院 这项研究仪器赠款有助于购买几个低端和一个高端图形工作站，一个高端文件服务器，几个许可证，和一个数据库Web应用服务器，这将使以下项目：-大型数据库的层次可视化，-多媒体视觉信息搜索（MMVIS）技术的时间和空间应用，-虚拟文档生成和可视化多媒体知识库， - 火灾模拟数据库的实时可视化。支持探索与大型多媒体数据集的存储、处理和可视化相关的方面的努力。 这些项目将解决：-扩展当前用于可视化多变量数据的方法，以支持非常大的数据集的分层视图，重点是使用N维画笔进行交互式聚焦和下钻。结合用于时间和空间查询规范的可视化直接操作语言，以及结果的动态时空可视化，以有效利用视频和其他多媒体资源。从包括Web在内的分布式资源中选择所需的信息，以及对特定应用程序有意义的表示风格。DelaunayMM项目允许用户通过此选择指定虚拟文档。开发用于建筑物特定火灾模拟的数据库，以帮助预测实际火灾的路径，通过传感器驱动的查询和匹配火灾未来的可视化来指导灭火工作。 这项拨款所提供的计算资源，对于支持大规模多媒体数据集的存储和分析至关重要 以及实现所有四个项目的可视化前端所需的必要交互性水平。

CISE Research Instrumentation: Large-Scale Data Visualization and Management 9729878 Ward, Matthew O. Worcester Polytechnic Institute This research instrumentation grant contributes to the purchase of several low-end and one high-end graphics workstations, a high -end file server, several licenses, and a database Web-application server which will enable the following projects:- Hierarchical Visualization of Large Databases,- MultiMedia Visual Information Seeking (MMVIS) Technology for Temporal and Spatial Applications, - Virtual Document Generation and Visualizations Multimedia Repositories, and - Real-Time Visualization of Fire Simulation Databases. supporting efforts exploring aspects related to the storage, processing, and visualization of large multimedia data sets. The projects will address:- Extension of current methods for visualizing multivariate data to support hierarchical views of very large data sets, with emphasis on interactive focusing and drill-down using N-dimensional brushes.- Incorporation of a visual direct-manipulation language for temporal and spatial query specification, and dynamic spatio-temporal visualizations of results, to make effective use of video and other multimedia resources.- Selection of needed information from distributed sources including the Web, and the presentation style that is meaningful to a particular application. The DelaunayMM project allows users to specify virtual documents through this selection.- Development of a database for building-specific fire simulations to help predict the path of actual fires, with sensor-driven queries and visualization of matching fire futures guiding fire suppression efforts. The computational resources made possible by this grant are essential for supporting the storage and analysis of the large-scale multimedia data sets and for achieving the necessary level of interactivity required by the visualization front-ends of all four projects.