ITR: Collaborative Research: Context-Aware Computing with Applications to Public Health Management

ITR：协作研究：上下文感知计算及其在公共卫生管理中的应用

• 批准号: 0324846
• 负责人: Roberto Tamassia
• 金额: $ 40万
• 依托单位: Brown University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0324846&HistoricalAwards=false
• 关键词: ITR; Collaborative; Research; Context; Aware

Mobile computing and wireless networks have dramatically changed both the distributed systems communication paradigm and the ways that people access and manipulate information. Consequently, there is now widespread recognition of a strong need for context-aware computing in numerous application domains, particularly applications that assist in the management of emergency situations. Such applications will dynamically adjust to individual user profiles, user locations, the local environment, and the task being performed. This project focuses on context-aware computing with applications to public health management. Core research issues in data management that are relevant to context-aware computing will be investigated. Also, the architecture of a system that supports context-aware applications with dynamically evolving data will be developed. Data integration tools and ontologies will be studied and then applied to actual source data and user profiles. This activity will be augmented with techniques for building spatio-temporal context from location traces. Methodologies will be developed to ensure the scalability of the system, including the use of request aggregation and of data cubes for caching user profiles and retrieved data. Security issues will be addressed by investigating an authentication model for spatio-temporal context based on a distributed trust framework. The architecture will also incorporate a component for the arbitration of services that can manage on-demand resource allocation in a competitive environment.The successful completion of this project will significantly improve the quality, responsiveness, and delivery accuracy of services using context-aware computing. The focus on health care services, both in routine and in crisis situations (e.g., terrorist attacks, natural disasters) has the potential to contribute to an improved technology infrastructure for the public health sector nationwide.

移动的计算和无线网络极大地改变了分布式系统的通信模式以及人们访问和操纵信息的方式。 因此，现在有一个强烈的需要，在众多的应用领域，特别是在紧急情况下，协助管理的应用程序，上下文感知计算的广泛认可。这样的应用程序将动态地调整到个人用户配置文件、用户位置、本地环境和正在执行的任务。该项目的重点是上下文感知计算与公共卫生管理的应用。核心研究问题，在数据管理相关的上下文感知计算将进行调查。此外，还将开发一个系统的架构，该系统支持具有动态演变数据的上下文感知应用程序。将研究数据整合工具和本体，然后将其应用于实际源数据和用户配置文件。这一活动将通过从位置轨迹建立时空背景的技术得到加强。将制定方法，确保系统的可伸缩性，包括使用请求汇总和数据立方体来缓存用户概况和检索到的数据。 安全问题将通过调查时空上下文的认证模型的基础上分布式信任框架来解决。 该体系结构还将包括一个服务仲裁组件，该组件可以在竞争环境中管理按需资源分配。该项目的成功完成将大大提高使用上下文感知计算的服务的质量、响应能力和交付准确性。在日常和危机情况下（例如，恐怖主义袭击、自然灾害）有可能有助于改善全国公共卫生部门的技术基础设施。