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    • 61. 发明授权
    • Method for high-level parallelization of large scale QP optimization problems
    • 高等级并行化大规模QP优化问题的方法
    • US07231376B1
    • 2007-06-12
    • US11111031
    • 2005-04-21
    • Filiz GurtunaAleksey M. UrmanovKenny C. Gross
    • Filiz GurtunaAleksey M. UrmanovKenny C. Gross
    • G06F15/18
    • G06N99/005
    • One embodiment of the present invention provides a system that performs high-level parallelization of large scale quadratic-problem (QP) optimization. During operation, the system receives a training dataset comprised of a number of data vectors. The system first determines to what extent each data vector violates conditions associated with a current support vector machine (SVM). The system then sorts the data vectors based on each data vector's degree of violation. Next, the system partitions the sorted data vectors into a number of prioritized subsets, wherein the subset with the highest priority contains the largest number of violators with the highest degree of violation. The system subsequently solves in parallel a QP optimization problem for each subset based on the subset's priority. The system then constructs a new SVM to replace the current SVM based on the QP optimization solution for each subset.
    • 本发明的一个实施例提供一种执行大规模二次问题(QP)优化的高级并行化的系统。 在操作期间,系统接收由多个数据向量组成的训练数据集。 系统首先确定每个数据向量在多大程度上违反与当前支持向量机(SVM)相关联的条件。 然后,系统根据每个数据向量的违规程度对数据向量进行排序。 接下来,系统将排序的数据向量划分成多个优先化子集,其中具有最高优先级的子集包含具有最高违规程度的最大数量的违规者。 该系统随后基于子集的优先级并行解决每个子集的QP优化问题。 然后,系统构建一个新的SVM,以基于每个子集的QP优化解决方案来替换当前SVM。
    • 62. 发明授权
    • Multi-dimensional sequential probability ratio test for detecting failure conditions in computer systems
    • 用于检测计算机系统故障情况的多维连续概率比检验
    • US07191096B1
    • 2007-03-13
    • US10918129
    • 2004-08-13
    • Kenny C. GrossAleksey M. Urmanov
    • Kenny C. GrossAleksey M. Urmanov
    • G06F11/30
    • G06F11/008
    • One embodiment of the present invention provides a monitoring system that detects anomalies in data gathered from sensors in a computer system. During operation, the monitoring system samples data from a plurality of sensors located at various sampling points throughout the computer system. Next, the monitoring system interpolates the data from the sampling points to produce a real-time digitized surface. The monitoring system then subtracts a reference digitized surface from the real-time digitized surface to produce a residual digitized surface. Finally, the monitoring system applies a multi-dimensional sequential probability ratio test (SPRT) to the residual digitized surface to detect anomalies in the residual digitized surface which indicate an impending failure of the computer system.
    • 本发明的一个实施例提供一种监测系统,其检测从计算机系统中的传感器收集的数据中的异常。 在操作期间,监视系统从位于整个计算机系统的各个采样点处的多个传感器采样数据。 接下来,监控系统对来自采样点的数据进行内插以产生实时数字化表面。 然后,监控系统从实时数字化表面中减去参考数字化表面,以产生残留的数字化表面。 最后,监控系统将多维连续概率比测试(SPRT)应用于剩余数字化表面,以检测剩余数字化表面中的异常,指示计算机系统即将发生的故障。
    • 63. 发明授权
    • Characterizing the response of a computer system component to vibrations
    • 表征计算机系统组件对振动的响应
    • US08843330B2
    • 2014-09-23
    • US12228407
    • 2008-08-11
    • Anton A. BougaevAleksey M. UrmanovKenny C. GrossDavid K. McElfresh
    • Anton A. BougaevAleksey M. UrmanovKenny C. GrossDavid K. McElfresh
    • G06F19/00G01R9/04
    • G01R9/04G01M7/025
    • Some embodiments of the present invention provide a system that characterizes a response of a component in a computer system to vibrations generated by the computer system. First, the system measures the response of the component to vibrations in a frequency range while the component is located outside of the computer system. The system also measures vibrations generated by the computer system in the frequency range during operation of the computer system, wherein the vibrations are measured at a location in the computer system which is configured to receive the component. The system then characterizes the response of the component to vibrations generated by the computer system based on the measured response of the component to vibrations in the frequency range and the measured vibrations in the frequency range at the location.
    • 本发明的一些实施例提供了一种系统,其将计算机系统中的部件的响应表征为由计算机系统产生的振动。 首先,该系统在组件位于计算机系统外部时测量组件对频率范围内的振动的响应。 该系统还测量计算机系统在计算机系统的操作期间在频率范围内产生的振动,其中在计算机系统中被配置为接收组件的位置处测量振动。 然后,该系统基于组件对频率范围内的振动的测量响应和该位置处的频率范围内的测量振动来表征组件对由计算机系统产生的振动的响应。
    • 65. 发明授权
    • Methods for characterizing vibration of a rack structure
    • 表征机架结构振动的方法
    • US08635048B2
    • 2014-01-21
    • US13475527
    • 2012-05-18
    • Kenny C. GrossAleksey M. UrmanovAnton A. BougaevDavid K. McElfresh
    • Kenny C. GrossAleksey M. UrmanovAnton A. BougaevDavid K. McElfresh
    • G01H13/00
    • G01N29/12G01H1/14G01H13/00
    • A system for characterizing vibration of a rack structure having at least one hard disk drive disposed therein and a vibration exciter operatively associated with the rack structure includes one or more computers. The one or more computers are configured to command the vibration exciter to provide vibration input to the rack structure and to command a plurality of reads from the at least one hard disk drive such that, for each of the plurality of reads, data stored on the at least one hard disk drive is retrieved from the at least one hard disk drive. The one or more computers are also configured to obtain read rate information related to the plurality of reads and to identify at least one resonant frequency of the rack structure based on the read rate information.
    • 用于表征具有设置在其中的至少一个硬盘驱动器的机架结构的振动的系统和与所述机架结构可操作地相关联的振动激励器包括一个或多个计算机。 一个或多个计算机被配置为命令振动激励器向机架结构提供振动输入并且从至少一个硬盘驱动器命令多个读取,使得对于多个读取中的每一个,存储在 从至少一个硬盘驱动器检索至少一个硬盘驱动器。 一个或多个计算机还被配置为获得与多个读取相关的读取速率信息,并且基于读取速率信息来识别机架结构的至少一个谐振频率。
    • 70. 发明授权
    • Method and apparatus for functional relationship approximation through nonparametric regression using R-functions
    • 通过使用R函数的非参数回归函数关系近似的方法和装置
    • US07933850B1
    • 2011-04-26
    • US11598608
    • 2006-11-13
    • Aleksey M. UrmanovKenny C. GrossAnton A. Bougaev
    • Aleksey M. UrmanovKenny C. GrossAnton A. Bougaev
    • G06E1/00G06E3/00G06G7/00
    • G06F11/0751G06F11/0706G06F11/0748G06F17/18G06N99/005
    • One embodiment of the present invention provides a system that constructs a functional relationship approximation from a set of data points through nonparametric regression. During operation, the system receives a training data set in an n-dimensional space. Next, the system defines a set of regression primitives in the n-dimensional space, wherein a regression primitive in the set passes through N data points in the training data set, wherein N≧n. The system then logically combines the set of regression primitives to produce a convex envelope F, such that for each point p in the n-dimensional space: (1) F(p)=0, if p is on the convex envelope; (2) F(p) 0, if p is outside the convex envelope. The system next obtains the functional relationship approximation by computing an argument of the minimum of F in the n-dimensional space. The system subsequently uses the functional relationship approximation to classify data.
    • 本发明的一个实施例提供了一种通过非参数回归从一组数据点构建功能关系近似的系统。 在操作期间,系统在n维空间中接收训练数据集。 接下来,系统在n维空间中定义一组回归基元,其中集合中的回归原语通过训练数据集中的N个数据点,其中N≥n。 然后,系统逻辑地组合回归原语集合以产生凸包络F,使得对于n维空间中的每个点p:(1)F(p)= 0,如果p在凸包上; (2)F(p)<0,如果p在凸包内; 和(3)F(p)> 0,如果p在凸包外。 系统接下来通过计算n维空间中F的最小值的自变量来获得函数关系近似。 系统随后使用函数关系近似来对数据进行分类。