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CPS:Medium: CitiSense - Adaptive Services for Community-Driven Behavioral and Environmental Monitoring to Induce Change

CPS:Medium: CitiSense - Adaptive Services for Community-Driven Behavioral and Environmental Monitoring to Induce Change
CPS:中:CitiSense - 用于社区驱动的行为和环境监测以引发变革的自适应服务
批准号:
0932403
负责人:
William Griswold
金额:
$149.91万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2013-08-31

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中文摘要
翻译
该研究项目的目标是实现软件技术的根本性进步,从而能够构建网络物理系统,使公民能够通过公民驱动的身体佩戴的基于移动电话的商品传感平台看到其日常活动对环境和健康的影响。 这种方法是创建一个面向方面的扩展,称为开放式富服务(ORS),以提供一个高度可扩展和自适应的基础设施。 作为一个例子,ORS将实现高度自适应的电源管理,不仅适应当前的设备条件,而且数据的性质,数据?的应用,以及该区域中其他传感器的存在和状态。 通过这种方式,ORS将在项目期间实现电源管理、算法、安全和隐私方面的额外研究进展。 将建立一个名为CitiSense的测试平台,使世界上的用户和系统研究能够评估该方法,并提供一个由网络物理系统增强的未来的一瞥。该提案中的研究将导致可组合自适应系统的模块化技术,自适应电源管理,开放系统的加密方法,移动的环境的交互设计,通过这一建议取得的科学和工程进展将提高我国开发在分散控制和严重资源限制下运行的网络物理系统的能力。 在该项目下培训的学生将成为新一代研究人员和从业人员的一部分,准备在未来几十年内推进网络物理系统的状态。
英文摘要
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The objective of this research project is to achieve fundamental advances in software technology that will enable building cyber-physical systems to allow citizens to see the environmental and health impacts of their daily activities through a citizen-driven body-worn mobile-phone-based commodity sensing platform. The approach is to create aspect-oriented extensions to a publish-subscribe architecture, called Open Rich Services (ORS), to provide a highly extensible and adaptive infrastructure. As one example, ORS will enable highly adaptive power management that not only adapts to current device conditions, but also the nature of the data, the data?s application, and the presence and status of other sensors in the area. In this way, ORS will enable additional research advances in power management, algorithms, security and privacy during the project. A test-bed called CitiSense will be built, enabling in-the-world user and system studies for evaluating the approach and providing a glimpse of a future enhanced by cyber-physical systems.The research in this proposal will lead to fundamental advances in modularity techniques for composable adaptive systems, adaptive power management, cryptographic methods for open systems, interaction design for the mobile context, and statistical inference under multiple sources of noise.The scientific and engineering advances achieved through this proposal will advance our national capability to develop cyber-physical systems operating under decentralized control and severe resource constraints. The students trained under this project will become part of a new generation of researchers and practitioners prepared to advance the state of cyber-physical systems for the coming decades.
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