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    • 3. 发明申请
    • ENABLING CAPTURE, TRANSMISSION AND RECONSTRUCTION OF RELATIVE CAUSITIVE CONTEXTURAL HISTORY FOR RESOURCE-CONSTRAINED STREAM COMPUTING APPLICATIONS
    • 启动资源约束流程计算应用的相对原理现状历史的传播和传播
    • US20110238379A1
    • 2011-09-29
    • US12893402
    • 2010-09-29
    • Archan MisraBenjamin FalchukAtanu Roy Chowdhury
    • Archan MisraBenjamin FalchukAtanu Roy Chowdhury
    • G06F17/40
    • G06F19/3418
    • A scalable middleware for supporting energy-efficient, long-term remote health monitoring and the capture and transmission of relative causative contextual history where data is collected using physiological sensors and transported back to the middleware through a mobile device serving as a gateway. The key to energy efficient operations lies in the adoption of an Activity Triggered Deep Monitoring paradigm, where data collection episodes are triggered only when the system is determined to possess a specified set of causative contexts. The system supports on-demand collection of causative contextual history using a low-overhead provenance collection sub-system. In a preferred embodiment the behavior of this sub-system is configured using an application-defined context composition graph. The resulting causative context history stream provides valuable insight into the states and conditions surround sensor readings and allows improved human interpretation of the ‘episodic’ sensor data streams.
    • 一种可扩展的中间件,用于支持节能,长期的远程健康监测以及捕获和传输相对致命的语境历史,其中使用生理传感器收集数据,并通过作为网关的移动设备运送回中间件。 能源效率运营的关键在于采用活动触发深度监测模式,其中数据收集事件只有在系统被确定拥有一组特定的因果关系时才被触发。 该系统使用低架构来源收集子系统支持按需收集致命性语境历史。 在优选实施例中,使用应用定义的上下文组合图来配置该子系统的行为。 所产生的因果关系历史流提供了对传感器读数周围的状态和条件的有价值的了解,并且允许改进人类对“偶发”传感器数据流的解释。