Collaborative Research: GOALI: AIS gene library based real-time resource allocation on time-sensitive large-scale multi-rate systems
Collaborative Research: GOALI: AIS gene library based real-time resource allocation on time-sensitive large-scale multi-rate systems
批准号:
0823952
负责人:
Mo-Yuen Chow
金额:
$19.8万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2013-08-31
中文摘要
本计划的目的是研究和发展一种基于基因文库的资源分配方法,以有效和高效地在通信网络上进行时间敏感的大规模多速率系统集成。北卡罗来纳汽车研究中心的受损驾驶员电子辅助试验台是一个事故预防示范项目。该方法是利用基因文库对各种交通环境下车辆运动的异常进行分类和检测,并提供最佳的实时采样率适应和紧急干预。利用人工免疫系统对基因文库进行优化,使其能够实时使用并适应环境,实现最优解。在智能方面,本研究追求多层系统动力学(从网络到分布式代理和用户)的垂直集成,通过考虑带宽约束、混合结构和不同的控制拓扑,为通信网络上的分布式传感器、执行器和控制器代理提供高效可靠的系统运行,以实现自适应实时最优资源分配。就更广泛的影响而言,该项目是理论分析与工业应用的协同整合。联合研究、双向教育计划和商业化是该项目的三层结构。推广和传播工作包括为学生提供工业实习、暑期高中学生体验、机构间访问和公开研讨会。正在积极征聘代表性不足的群体。这项研究有可能减少美国每年超过2500亿美元的交通事故相关成本,同时使老年司机保持机动性和生活质量。
英文摘要
The objective of this project is to investigate and develop a gene library-based resource allocation methodology for effective and efficient time-sensitive large-scale multi-rate system integration over communication networks. The Impaired Driver Electronic Assistance Testbed at the North Carolina Center for Automotive Research serves as an accident prevention demonstration project. The approach is to use the gene library to classify and detect abnormalities in vehicle movements in various traffic environments and to provide optimal real-time sampling rate adaptation and emergency intervention. An artificial immune system is used to optimize the gene library, which can then be used in real time and can adapt to its environment to realized optimal solutions.With respect to intellectual merit, this research pursues a vertical integration of multiple layers of systems dynamics (from networks, to distributed agents, and to users) with the goal to provide efficient and reliable system operation by considering bandwidth constraints, hybrid structures, and different control topologies for adaptive real-time optimal resource allocation for distributed sensor, actuator, and controller agents over communication networks.With respect to broader impacts, this project is a synergistic integration of theoretical analyses with industrial applications. Joint research, bidirectional education programs, and commercialization serve as a three-tiered structure for the project. Outreach and dissemination efforts include industrial internships for students, summer high school student experiences, inter-institutional visits, and public seminars. Recruitment of underrepresented groups is actively pursued. The research has the potential to reduce vehicle accident-related costs from more than $250 billion per annum in the United States while enabling older drivers to retain mobility and quality of life.
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批准号:0632492
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A Neural/Fuzzy Approach for Motor Incipient Fault Detection
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资助金额:$19.0万
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财政年份:1993
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Incipient Fault Detection in Rotating Machines Using a Neural Network
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批准号:8922727
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项目类别:Standard Grant
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资助金额:$11.99万
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财政年份:1990
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负责人:Mo-Yuen Chow
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依托单位:
国内基金
海外基金
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