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.

移动计算和无线网络已大大改变了分布式系统通信范式以及人们访问和操纵信息的方式。 因此，现在人们普遍认识到在众多应用领域中对上下文感知计算的强烈需求，尤其是有助于管理紧急情况的应用程序。此类应用程序将动态调整为单个用户配置文件，用户位置，本地环境以及正在执行的任务。该项目着重于将公共卫生管理应用程序应用于上下文感知计算。将研究与上下文感知计算相关的数据管理中的核心研究问题。此外，还将开发支持上下文感知应用程序的系统的体系结构，并开发动态发展的数据。将研究数据集成工具和本体，然后将其应用于实际的源数据和用户配置文件。该活动将通过从位置痕迹构建时空上下文的技术来增强该活动。将开发方法来确保系统的可扩展性，包括使用请求汇总和用于缓存用户配置文件和检索数据的数据立方体的使用。 通过根据分布式信任框架调查时空上下文的身份验证模型来解决安全问题。 该体系结构还将结合一个可以在竞争环境中管理按需资源分配的服务仲裁的组件。该项目的成功完成将显着提高使用上下文感知到的计算的服务的质量，响应能力和服务准确性。在日常和危机情况下（例如，恐怖袭击，自然灾害），对卫生保健服务的关注都有可能为全国公共卫生部门的技术基础设施改善做出贡献。