Two-Level Guarded Predictive Power Gating
    22.
    发明申请
    Two-Level Guarded Predictive Power Gating 有权
    两级保护预测电源门控

    公开(公告)号:US20110040994A1

    公开(公告)日:2011-02-17

    申请号:US12539941

    申请日:2009-08-12

    IPC分类号: G06F1/26

    摘要: A mechanism is provided for two-level guarded predictive power gating of a set of units within the data processing system. A success determines whether a unit within the set of units is power gated during a monitoring interval. If the unit is power gated, the success monitor determines whether a count of idle cycles for the unit is below a breakeven point. If the count is above the breakeven point, the success monitor increments a success efficiency counter. If the count is below the breakeven point, the success monitor determines whether the unit needs to be woke up. If the unit needs to be woke up, the success monitor increments a harmful efficiency counter. If the value of the harmful efficiency counter is less than the value from the success efficiency counter, the success monitor enables power gating for the unit via a first-level power-gating mechanism.

    摘要翻译: 提供了一种用于数据处理系统内的一组单元的两级保护预测能力门控的机制。 一个成功的确定在一个监视间隔期间该单元组内的一个单元是否电源门控。 如果该单元是电源门控,则成功监视器确定该单元的空闲周期计数是否低于盈亏平衡点。 如果计数高于盈亏平衡点,则成功监视器会增加成功效率计数器。 如果计数低于盈亏平衡点,则成功监视器确定该单元是否需要醒来。 如果单位需要醒来,成功监测器会增加一个有害的效率计数器。 如果有害效率计数器的值小于成功效率计数器的值,则成功监视器可通过一级电源门控机构对单元进行功率门控。

    Determining utility functions from ordenal rankings
    25.
    发明授权
    Determining utility functions from ordenal rankings 有权
    从常数排名确定效用函数

    公开(公告)号:US07392231B2

    公开(公告)日:2008-06-24

    申请号:US10308401

    申请日:2002-12-03

    IPC分类号: G06N5/00 G06E3/00

    CPC分类号: G06Q30/02 G06N3/08

    摘要: A user's preference structure in respect of alternative “objects” with which the user is presented is captured in a multi-attribute utility function. The user ranks these competing objects in order of the user's relative preference for such objects. A utility function that defines the user's preference structure is provided as output on the basis of this relative ranking. This technique can be used to assist a buyer in selecting between multi-attribute quotes or bids submitted by prospective suppliers to the buyer.

    摘要翻译: 在多属性效用函数中捕获用户对于呈现用户的替代“对象”的偏好结构。 用户按照用户对这些对象的相对偏好的顺序排列这些竞争对象。 基于该相对排名,提供定义用户偏好结构的效用函数作为输出。 这种技术可用于帮助买方在买方提供的潜在供应商提交的多属性报价或出价之间进行选择。

    Ranking Nodes in a Graph
    28.
    发明申请
    Ranking Nodes in a Graph 失效
    在图表中排列节点

    公开(公告)号:US20110169833A1

    公开(公告)日:2011-07-14

    申请号:US12684255

    申请日:2010-01-08

    申请人: Jayanta Basak

    发明人: Jayanta Basak

    IPC分类号: G06T11/20

    CPC分类号: G06T11/20

    摘要: Techniques for ranking nodes in a graph are provided. The techniques include computing resultant path strength between each pair of nodes in a polynomial time, determining a first node based on resultant path strength such that total path strength to the first node is a maximum value, iteratively determining a next node from the first node to which the resultant path strength is a maximum value and the node is not visited, and providing each determined node a unique rank value, and ranking the nodes in an order determined by the unique rank value of each node.

    摘要翻译: 提供了用于对图中的节点进行排序的技术。 所述技术包括在多项式时间内计算每对节点之间的合成路径强度,基于所得到的路径强度来确定第一节点,使得到第一节点的总路径强度为最大值,迭代地确定从第一节点到下一个节点到 其中所得到的路径强度是最大值,并且节点不被访问,并且为每个确定的节点提供唯一的等级值,并且以由每个节点的唯一等级值确定的顺序对节点进行排序。

    Self-Organizing Energy Pricing
    29.
    发明申请
    Self-Organizing Energy Pricing 有权
    自组织能源定价

    公开(公告)号:US20110112987A1

    公开(公告)日:2011-05-12

    申请号:US12615346

    申请日:2009-11-10

    IPC分类号: G06Q50/00 G06Q30/00

    CPC分类号: G06Q30/00 G06Q50/06

    摘要: Techniques for real-time pricing of electrical energy are provided. The techniques include receiving electrical energy data, wherein the electrical energy data comprises one or more energy pricing parameters specified by an energy supplier, measuring power grid frequency, wherein the power grid comprises the current frequency of the power grid, measuring current energy consumption, wherein current energy consumption comprises total energy consumption in a sampling period, retrieving consumption history, wherein consumption history comprises energy consumed by a customer over a time period, computing a unit energy rate as a function of customer type, the one or more pricing parameters, frequency and past history of consumption, and using the computed rate to compute a total charge as a product of the unit energy rate and the total energy consumption.

    摘要翻译: 提供电能实时定价技术。 这些技术包括接收电能数据,其中电能数据包括由能量供应商指定的一个或多个能量定价参数,测量电网频率,其中电网包括电网的当前频率,测量当前能量消耗,其中 当前能量消耗包括采样周期中的总能量消耗,检索消耗历史,其中消耗历史包括客户在一段时间内消耗的能量,根据客户类型计算单位能量利率,一个或多个定价参数,频率 和过去的消费历史,并使用计算出的速率来计算总费用,作为单位能源利用率和总能耗的乘积。

    Determining a window size for outlier detection
    30.
    发明授权
    Determining a window size for outlier detection 失效
    确定异常值检测的窗口大小

    公开(公告)号:US07917338B2

    公开(公告)日:2011-03-29

    申请号:US11970003

    申请日:2008-01-07

    IPC分类号: H04B15/00

    CPC分类号: G06K9/00503

    摘要: A window size for outlier detection in a time series of a database system is determined. Strength values are calculated for data points using a set of window sizes, resulting at least in one set of strength values for each window size. The strength values increase as a distance between a value of a respective data point and a local mean value increases. For each set of strength values, a weighted sum is calculated based on the respective set of strength values. A weighting function is used to suppress the effect of largest strength values and a window size is selected based on the weighted sums.

    摘要翻译: 确定数据库系统的时间序列中异常值检测的窗口大小。 使用一组窗口大小计算数据点的强度值,从而至少得到每个窗口大小的一组强度值。 随着各数据点的值和局部平均值之间的距离增加,强度值增加。 对于每组强度值,基于强度值的相应集合来计算加权和。 加权函数用于抑制最大强度值的影响,并且基于加权和选择窗口大小。