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    • 63. 发明申请
    • TRANSIENT DETECTION FOR PREDICTIVE HEALTH MANAGEMENT OF DATA PROCESSING SYSTEMS
    • 数据处理系统预测健康管理的瞬态检测
    • US20140067773A1
    • 2014-03-06
    • US13598783
    • 2012-08-30
    • Aleksey M. URMANOVAnton A. Bougaev
    • Aleksey M. URMANOVAnton A. Bougaev
    • G06F17/30
    • G06F11/0754G06F11/0709G06F11/3409G06F17/30G06F17/30306H04L41/00H04L41/147H04L43/0817
    • Systems, methods, and other embodiments associated with transient detection for predictive health management are described. In one embodiment, a method includes receiving a health signal from a data outlet. The health signal corresponds to a derivative variable derived from a combination of data processing system metrics not exposed beyond the data outlet. A transient is detected in the health signal. In response to detecting the transient, the method includes performing a corrective action. The example method may also include detecting the transient in a health signal from a data processing system by collecting historical values of the health signal; selecting a first statistical model that best fits the historical values; receiving a present value of the health signal; and applying the first statistical model to the present value of the health signal to determine whether the present value of the health signal is a transient.
    • 描述了与用于预测健康管理的瞬态检测相关联的系统,方法和其他实施例。 在一个实施例中,一种方法包括从数据出口接收健康信号。 健康信号对应于从未暴露在数据出口之外的数据处理系统度量的组合导出的导数变量。 在健康信号中检测到瞬变。 响应于检测到瞬态,该方法包括执行校正动作。 示例性方法还可以包括通过收集健康信号的历史值来检测来自数据处理系统的健康信号中的瞬态; 选择最符合历史价值的第一个统计模型; 接收健康信号的现值; 以及将所述第一统计模型应用于所述健康信号的当前值,以确定所述健康信号的当前值是否是瞬时的。
    • 64. 发明申请
    • INVARIANT MULTI-DIMENSIONAL VIBRATION-RESILIENCE-SIGNATURE GENERATION SYSTEM
    • 不变多维振动 - 振动信号发生系统
    • US20100290144A1
    • 2010-11-18
    • US12467432
    • 2009-05-18
    • Anton A. BougaevAleksey M. UrmanovDaivd K. McElfresh
    • Anton A. BougaevAleksey M. UrmanovDaivd K. McElfresh
    • G11B27/36
    • G11B19/048
    • One embodiment of the present invention provides a system that generates vibration-resistance signatures for hard disk drives (HDDs). In this system, a set of HDDs is mechanically affixed to a disk enclosure. The system additionally includes a vibration generator which is mechanically coupled to the disk enclosure and can apply a translational vibration profile to the disk enclosure. The system further includes a coupling mechanism between the set of HDDs and the disk enclosure which translates the translational vibration profile into both translational and rotational vibrations for the set of HDDs in multiple dimensions. The system additionally includes a monitoring mechanism which monitors an HDD performance metric from the set of HDDs while the HDDs are subject to the translational and rotational vibrations. The system also includes a signature-generation mechanism which uses the monitored HDD performance metric to generate vibration-resistance signatures for the set of HDDs.
    • 本发明的一个实施例提供一种产生硬盘驱动器(HDD)的抗振性的系统。 在该系统中,将一组HDD机械地固定在盘盒上。 该系统还包括振动发生器,其机械地联接到盘壳体并且可以向盘壳体施加平移振动轮廓。 该系统还包括在该组HDD和盘盒之间的联接机构,其将平移振动分布转换成多个维度的HDD组的平移和旋转振动。 该系统还包括监视机构,其监视来自该组HDD的HDD性能度量,同时HDD受到平移和旋转振动的影响。 该系统还包括一个签名生成机制,该机制使用监视的HDD性能度量来产生该组HDD的抗振特征。
    • 65. 发明授权
    • Method and apparatus for classifying data using R-functions
    • 使用R功能对数据进行分类的方法和装置
    • US07660775B2
    • 2010-02-09
    • US11387253
    • 2006-03-22
    • Anton A. BougaevAleksey M. Urmanov
    • Anton A. BougaevAleksey M. Urmanov
    • G06E1/00G06E3/00G06F15/18G06G7/00
    • G06N7/005G06K9/6287
    • One embodiment of the present invention provides a system that constructs a classifier that distinguishes between different classes of data points. During operation, the system first receives a data set, which includes class-one data points and class-two data points. For each class-one data point in the data set, the system uses a separating primitive to produce a set of point-to-point separating boundaries, wherein each point-to-point separating boundary separates the class-one data point from a different class-two data point. Next, the system combines separating boundaries in the set of separating boundaries to produce a point-to-class separating boundary that separates the class-one data point from all of the class-two data points in the data set. Finally, the system combines the point-to-class separating boundaries for each of the class-one data points to produce a class-to-class separating boundary for the classifier that separates all of the class-one data points from all of the class-two data points in the data set.
    • 本发明的一个实施例提供一种构建区分不同类别的数据点的分类器的系统。 在操作过程中,系统首先接收一个包含一类数据点和二类数据点的数据集。 对于数据集中的每个一类数据点,系统使用分离原语来产生一组点对点分离边界,其中每个点到点分离边界将一类数据点与不同的 二级数据点。 接下来,该系统组合分离边界集合中的分离边界以产生将一类数据点与数据集中的所有二类数据点分离的点对数分离边界。 最后,该系统组合了一类数据点中的每一个数据点的点对点分离边界,从而为分类器生成一个类到类的分离边界,将所有类的一个数据点与所有类分开 - 数据集中的两个数据点。
    • 68. 发明申请
    • System and Method for Publishing
    • 系统和出版方法
    • US20120131007A1
    • 2012-05-24
    • US13233024
    • 2011-09-15
    • Anton A. BougaevAleksey UrmanovEugene KolinkoJoshua C. Walter
    • Anton A. BougaevAleksey UrmanovEugene KolinkoJoshua C. Walter
    • G06F17/30
    • G06F16/958
    • Computer implemented system and method for publishing evaluated information comprising collecting one or more sets of data from one or more users, generating one or more sets of augmented collected data by augmenting the one or more sets of data collected from the one or more users, wherein the augmenting the one or more sets of data includes implementing a typesetting function configured to associate identifier information with the collected one or more sets of data, detecting a request from the one or more users, providing at least one additional user at least a portion of the augmented collected data, wherein at least a portion of the provided augmented collected data includes identifier data associated with the one or more users, and assigning a recognized number to the augmented collected data.
    • 用于发布评估信息的计算机实现的系统和方法,包括从一个或多个用户收集一组或多组数据,通过增加从一个或多个用户收集的一组或多组数据来生成一组或多组增强的收集数据,其中 增加一个或多个数据集包括实现排版功能,其被配置为将标识符信息与所收集的一组或多组数据相关联,检测来自一个或多个用户的请求,向至少一个附加用户提供至少一部分 增强的收集数据,其中所提供的增强收集数据的至少一部分包括与一个或多个用户相关联的标识符数据,以及将识别的数字分配给增强的收集数据。