ITR: Collaborative Research: Real-time Capture, Management and Reconstruction of Spatio-Temporal Events

ITR：协作研究：时空事件的实时捕获、管理和重建

• 批准号: 0086144
• 负责人: Ouri Wolfson
• 金额: $ 64.98万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2005-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0086144&HistoricalAwards=false
• 关键词: ITR; Collaborative; Research; Real; time; ITR; Collaborative; Research; Real; time

With the advances in embedded processors, low cost sensor technologies, and wireless communication, unprecedented amounts of diverse types of information about the real world and its activities are being generated. Much of the information is spatio-temporal in nature; concerning objects dispersed in space and time, and interacting and communicating with each other and their surroundings. An infrastructure that facilitates real-time capture, storage, processing, display, and analysis of the information generated will truly revolutionize a wide variety of application domains. Examples of domains that will benefit from this technology include avionics, ground traffic, commercial applications such as ship-ping and transportation, emergency response and disaster relief operations, physical phenomenon such as weather and storm tracking, forest fire tracking, migration patterns of animals/birds, command and control, smart environments, etc. Applications in the above domains require real-time monitoring, tracking and analysis of objects/events/phenomena in space and time. An integral component of such sensor enriched communication and information infrastructure is a database management technology that allows seamless access to information dispersed across a hierarchy of storage, communication and processing units - from sensor devices, where data originates, to large data banks where the information generated is stored for analysis and mining. This research will explore next generation database management system technology that provides effective support for information processing in highly distributed and dynamic sensor-enriched environments. The approach taken will be end-to-end - that is, research will be conducted on all aspects of the system ranging from representation, data modeling, query languages, data structures, query optimization, query processing, distribution, and concurrent accesses. A prototype database management infrastructure that supports highly dynamic geographically dispersed spatio-temporal data, multi-resolution representation of data, and provides effective support for visualization and analysis will be developed.

随着嵌入式处理器，低成本传感器技术和无线通信的进步，正在生成有关现实世界及其活动的多种类型的信息。大部分信息本质上是时空的。关于分散在时空的物体，以及彼此及其周围环境的互动和交流。一种促进实时捕获，存储，处理，显示和分析所生成的信息的基础架构将真正彻底改变各种应用程序域。将从该技术中受益的领域的示例包括航空电子学，地面交通，诸如造船和运输等商业应用，紧急响应和救灾操作，诸如天气和暴风雨跟踪，森林火灾追踪，动物/鸟类的迁移模式，指挥和控制，智能环境等的物理现象，需要实时监控，跟踪和事件/事件/事件/事件/事件/事件/事件/现象。这种传感器丰富的通信和信息基础架构的组成部分是一种数据库管理技术，它允许无缝地访问跨存储，通信和处理单元层次分散的信息 - 从数据源自数据的传感器设备到大型数据库到大型数据库，到存储用于分析和挖掘的信息。这项研究将探索下一代数据库管理系统技术，该技术为高度分布和动态传感器增强环境中的信息处理提供有效的支持。采用的方法将是端到端的 - 也就是说，将对系统的各个方面进行研究，从表示，数据建模，查询语言，数据结构，查询优化，查询处理，分布和并发访问。一个原型数据库管理基础架构，该基础架构支持高度动态的地理位置分散的时空数据，数据的多分辨率表示，并为可视化和分析提供有效的支持。