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    • 3. 发明申请
    • APPARATUS, SYSTEM, AND METHOD FOR AUTONOMOUSLY DETERMINING A SET OF DESTINATIONS
    • 用于自动确定一组目的地的装置,系统和方法
    • US20080125968A1
    • 2008-05-29
    • US11563606
    • 2006-11-27
    • Thomas Michael BradicichRichard Edwin HarperWilliam Joseph Piazza
    • Thomas Michael BradicichRichard Edwin HarperWilliam Joseph Piazza
    • G01C21/32
    • G01C21/3617
    • An apparatus, system, and method are disclosed for autonomously determining a set of destinations. A landmark module stores a plurality of landmarks from a database. An identification module identifies a first current location and direction of the vehicle. In response to receiving a help command from the help button, a destination module determines a first set of destinations from the plurality of landmarks, the first current location, and the first current direction. A prompt module audibly prompts a driver to navigate the vehicle to the first set of destinations. A navigation module determines if the driver is navigating towards the first direction. In response to the driver not navigating the vehicle toward at least one destination of the first set of destinations, the navigation module may direct the identification module to identify a second current location and direction of the vehicle and the destination module to determine a second set of destinations.
    • 公开了用于自主确定一组目的地的装置,系统和方法。 地标模块从数据库存储多个地标。 识别模块识别车辆的第一当前位置和方向。 响应于从帮助按钮接收到帮助命令,目的地模块从多个地标,第一当前位置和第一当前方向确定第一组目的地。 提示模块可听见地提示驾驶员将车辆导航到第一组目的地。 导航模块确定驱动程序是否朝第一方向导航。 响应于驾驶员不将车辆驶向至少一个目的地集合的一个目的地,导航模块可以指示识别模块识别车辆和目的地模块的第二当前位置和方向,以确定第二组 目的地。
    • 5. 发明授权
    • System and method for performing automatic rejuvenation at the optimal time based on work load history in a distributed data processing environment
    • 基于分布式数据处理环境中的工作负载历史,在最佳时间执行自动复原的系统和方法
    • US06820215B2
    • 2004-11-16
    • US09753050
    • 2000-12-28
    • Richard Edwin HarperSteven Wade Hunter
    • Richard Edwin HarperSteven Wade Hunter
    • H02H305
    • G06F11/1438G06F11/3409G06F11/3433G06F11/3495
    • In a method for automatically rejuvenating a component of a distributed data processing environment while minimizing the disruptive effects of the rejuvenation, a usage history for a distributed data processing environment is stored. The usage history describes multiple levels of overall usage of the distributed data processing environment over time. Also, health data relating to at least one component of the distributed data processing environment is received, and, in response, the health data is automatically utilized to determine a failure time within which that component is likely to require rejuvenation. In response to determining the failure time, the usage history is automatically utilized to identify an optimum rejuvenation time. In response to identifying the optimum rejuvenation time, that component is automatically rejuvenated according to the optimum rejuvenation time. In an illustrative embodiment, the optimum rejuvenation time is identified by ascertaining a minimum level of overall usage within the failure time. The usage time that corresponds to the minimum level is utilized as the optimum rejuvenation time.
    • 在一种使分布式数据处理环境中的组件自动恢复同时最小化复原的破坏性影响的方法中,存储分布式数据处理环境的使用历史。 使用历史描述了随着时间的推移,分布式数据处理环境的多个级别的总体使用。 此外,接收与分布式数据处理环境的至少一个组件相关的健康数据,并且作为响应,健康数据被自动地用于确定该组件可能需要年轻化的故障时间。 响应于确定故障时间,自动使用使用历史来识别最佳的复原时间。 响应于确定最佳的复原时间,该组件根据最佳的复原时间自动恢复活力。 在说明性实施例中,通过确定故障时间内的总体使用的最小水平来识别最佳复原时间。 对应于最小水平的使用时间被用作最佳的复原时间。
    • 10. 发明授权
    • Detection of airflow anomalies in electronic equipment
    • 电子设备气流异常检测
    • US07421368B2
    • 2008-09-02
    • US11612786
    • 2006-12-19
    • Angela Beth DaltonRichard Edwin HarperWilliam Joseph Piazza
    • Angela Beth DaltonRichard Edwin HarperWilliam Joseph Piazza
    • G01K7/00
    • G06F1/206
    • Thermal diagnostic systems and methods are provided for improved detection of airflow anomalies in a computer system. In particular, processor load is selectively increased to amplify the effects caused by any airflow anomaly that may be present in the computer system. Workload migration may be used to shift processor load from another node to a target node. Artificial load may also be generated on the target node. The processor load increased to a level sufficient that an airflow anomaly would cause a detectable temperature difference at the selected node. The processor load may be increased by an amount computed to generate this detectable temperature difference. Alternatively, the processor load may be increased by a predetermined amount of between 40% and 100% of full processor utilization. While at the increased processor load, actual temperature sensed by temperature sensors may be compared to temperatures predicted from the model to detect the presence or absence of an airflow anomaly.
    • 提供热诊断系统和方法来改进对计算机系统中气流异常的检测。 特别地,选择性地增加处理器负载以放大可能存在于计算机系统中的任何气流异常引起的影响。 可以使用工作负载迁移将处理器负载从另一个节点转移到目标节点。 人造负载也可能在目标节点上产生。 处理器负载增加到足以使气流异常将导致所选节点处可检测温差的水平。 处理器负载可以增加计算的量以产生该可检测的温度差。 或者,处理器负载可以增加处理器利用率的40%至100%之间的预定量。 当处理器负载增加时,温度传感器感测到的实际温度可以与从模型预测的温度进行比较,以检测气流异常的存在与否。