Research Resources: Computational Science and Engineering: Intelligent Information Acquisition and Management Infrastructure

研究资源：计算科学与工程：智能信息获取与管理基础设施

• 批准号: 0222628
• 负责人: Krishna Kavi
• 金额: $ 12万
• 依托单位: University of North Texas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0222628&HistoricalAwards=false
• 关键词: Research; Resources; Computational; Science; Engineering

EIA 02-22628Kavi, Krishna M.Mikler, Armin R.; Swigger, Kathleen M.; Wilson, Angela K.University of North Texas CISE RR: Computational Science and Engineering: Intelligent Information Acquisition and Management InfrastructureThis proposal, addressing multithreaded computer architectural and sensor-network simulations, concurrent analysis of multiple flight data recorders, and computational chemistry, requests a Beowulf cluster, a Sun multiprocessor, and a 1.3TB storage device to enable research in the following four projects:1. Scalable Clustered Multithreaded Architecture for Embedded and DSP Applications,2. SensorNet,3. Analysis of Flight Data Recorder (FDR) Information, and4. Computation Chemistry: Quantum Chemical Functional Group (QCFG) approach.The first project evaluates the suitability of multithreaded architectures for embedded and DSP systems developing customizable and scalable implementations to meet the performance and energy requirements of future embedded and DSP applications. The second designs and implements an agent-based monitoring infrastructure to facilitate data-acquisition and event-correlation for large number of widely distributed environmental sensors of different types. This project aims at integrating the Leibniz system for computation based on prepositional logic. The third project concentrates on problems related to the organization and management of large, real-time distributed knowledge investigating various architectures and systems for real-time transmission of flight data to insure more accurate and reliable information. Looking into real-time collaborative interfaces that can support distributed communications and collective decision-making, this projects examines data mining techniques that can be used to aid in post-mortem analyses of accidents. The last project enables an approach to obtain quantitative descriptions of structures, energetics, and other properties for intermediate- to large-sized molecules.The equipment is expected to lead to new research in Intelligent Information and Intelligent Resource Management.

EIA 02- 22628 Kavi，Krishna M.Mikler，Armin R.; Swigger，Kathleen M.; Wilson，Angela K.University of North Texas CISE RR：Computational Science and Engineering：Intelligent Information Acquisition and Management计算科学与工程：智能信息获取和管理架构该提案涉及多线程计算机架构和传感器网络模拟、多个飞行数据记录器的并发分析以及计算化学，需要Beowulf集群、Sun多处理器和1.3TB存储设备来支持以下四个项目的研究：1. 嵌入式和DSP应用的可扩展并行多线程体系结构，2. SensorNet，3. 飞行数据记录器（FDR）信息分析; 计算化学：量子化学功能组（QCFG）方法。第一个项目评估多线程架构对嵌入式和DSP系统的适用性，开发可定制和可扩展的实现，以满足未来嵌入式和DSP应用的性能和能源需求。第二个设计和实现了一个基于代理的监测基础设施，以促进大量广泛分布的不同类型的环境传感器的数据采集和事件关联。这个项目的目的是集成莱布尼茨系统的计算基于命题逻辑。第三个项目集中在与大型实时分布式知识的组织和管理相关的问题上，研究用于实时传输飞行数据的各种体系结构和系统，以确保更准确和可靠的信息。展望可以支持分布式通信和集体决策的实时协作界面，该项目研究了可用于帮助事故事后分析的数据挖掘技术。最后一个项目实现了一种方法，以获得结构，能量学，和其他属性的定量描述的中型到大型分子。该设备预计将导致新的研究在智能信息和智能资源管理。