公开(公告)号：US20130290350A1

公开(公告)日：2013-10-31

申请号：US13460015

申请日：2012-04-30

Applicant: Abdullah Al Mueen ,  Krishnamurthy Viswanathan ,  Chetan Kumar Gupta

Inventor： Abdullah Al Mueen ,  Krishnamurthy Viswanathan ,  Chetan Kumar Gupta

IPC: G06F17/30

CPC classification number: G06F17/30979

Abstract: A similarity search initialization system includes a leaf selector to select a leaf of a suffix tree generated from a target string representing a target sequence. The selected leaf is associated with a prefix in the suffix tree having a longest match to a suffix of a query string representing a query. The system further includes a distance module to determine a distance between the query and a subsequence of the target sequence represented by a candidate substring of the target string. The candidate substring includes the prefix associated with the selected leaf. The determined distance is to provide an initial upper bound in a similarity search of the target sequence using the query.

Abstract translation: 相似搜索初始化系统包括叶选择器，用于选择从表示目标序列的目标串生成的后缀树的叶。 所选叶与后缀树中与表示查询的查询字符串的后缀具有最长匹配的前缀相关联。 系统还包括距离模块，用于确定查询与由目标串的候选子串表示的目标序列的子序列之间的距离。 候选子字符串包括与所选叶相关联的前缀。 确定的距离是使用查询在目标序列的相似性搜索中提供初始上限。

公开(公告)号：US20130226904A1

公开(公告)日：2013-08-29

申请号：US13406142

申请日：2012-02-27

Applicant: Abdullah A. MUEEN ,  Krishnamurthy Viswanathan ,  Chetan K. Gupta

Inventor： Abdullah A. MUEEN ,  Krishnamurthy Viswanathan ,  Chetan K. Gupta

IPC: G06F17/30

CPC classification number: G06F16/90348 ,  G06F16/9027 ,  G06F16/90344

Abstract: A lowest common ancestor of a first data sequence and a second data sequence is determined. Based on the lowest common ancestor, symbols that differ between the first data sequence and the second data sequence are identified. A distance between the first data sequence and the second data sequence is determined based on the symbols.

Abstract translation: 确定第一数据序列和第二数据序列的最低共同祖先。 基于最低的共同祖先，识别在第一数据序列和第二数据序列之间不同的符号。 基于符号确定第一数据序列与第二数据序列之间的距离。

公开(公告)号：US20130110761A1

公开(公告)日：2013-05-02

申请号：US13286150

申请日：2011-10-31

Applicant: Krishnamurthy VISWANATHAN ,  Choudur Lakshminarayan ,  Wade J. Satterfield ,  Vanish Talwar ,  Chengwei Wang

Inventor： Krishnamurthy VISWANATHAN ,  Choudur Lakshminarayan ,  Wade J. Satterfield ,  Vanish Talwar ,  Chengwei Wang

IPC: G06N7/02

CPC classification number: G06N99/005

Abstract: Probable anomalies associated with at least one data metric may be detected across a series of windows of time series data by comparison of data to a threshold. An estimated probability of anomalies for each of the windows of time series data may be determined based on the detected probable anomalies and the threshold. The windows of time series data may be ranked based on the estimated probabilities. Probable anomalies associated with highest ranked windows of time series data may be output to a user.

Abstract translation: 通过将数据与阈值进行比较，可以跨时间序列数据的一系列窗口检测与至少一个数据度量相关联的可能的异常。 可以基于检测到的可能的异常和阈值来确定时间序列数据的每个窗口的估计的异常概率。 时间序列数据的窗口可以基于估计的概率进行排名。 与时间序列数据的最高排名窗口相关联的可能的异常可以被输出给用户。

公开(公告)号：US20130080375A1

公开(公告)日：2013-03-28

申请号：US13243476

申请日：2011-09-23

Applicant: Krishnamurthy Viswanathan ,  Choudur Lakshminarayan ,  Vanish Talwar ,  Chengwei Wang

Inventor： Krishnamurthy Viswanathan ,  Choudur Lakshminarayan ,  Vanish Talwar ,  Chengwei Wang

IPC: G06N5/02

CPC classification number: G06F11/076

Abstract: Systems and methods of anomaly detection in data centers. An example method may include analyzing time series data for the data center by testing statistical hypotheses. The method may also include constructing upper and lower bounds based on the statistical hypotheses. The method may also include flagging anomalies in the time series data falling outside of the upper and lower bounds.

Abstract translation: 数据中心异常检测的系统和方法。 示例性方法可以包括通过测试统计假设来分析数据中心的时间序列数据。 该方法还可以包括基于统计假设来构建上限和下限。 该方法还可以包括在时间序列数据中标记掉在上下界之外的异常。

公开(公告)号：US20120089357A1

公开(公告)日：2012-04-12

申请号：US12900307

申请日：2010-10-07

Applicant: CHOUDUR LAKSHMINARAYAN ,  KRISHNAMURTHY VISWANATHAN

Inventor： CHOUDUR LAKSHMINARAYAN ,  KRISHNAMURTHY VISWANATHAN

IPC: G06F17/18 ,  G06F19/00

CPC classification number: G06F17/141 ,  G06K9/00523

Abstract: A method and apparatus are disclosed for identifying anomalies of a signal, by analyzing a signal using a frequency-based technique, analyzing results of the frequency-based analysis using a statistical analysis technique, determining one or more limits based on the statistical analysis, and comparing a frequency domain representation of the signal to the limits to identify anomalies of the signal.

Abstract translation: 公开了一种用于识别信号的异常的方法和装置，通过使用基于频率的技术分析信号，使用统计分析技术分析基于频率的分析的结果，基于统计分析确定一个或多个限制，以及 将信号的频域表示与极限进行比较，以识别信号的异常。

公开(公告)号：US20110119284A1

公开(公告)日：2011-05-19

申请号：US12812919

申请日：2008-01-18

Applicant: Krishnamurthy Viswanathan ,  Ram Swaminathan

Inventor： Krishnamurthy Viswanathan ,  Ram Swaminathan

IPC: G06F17/30

CPC classification number: G06K9/723

Abstract: Provided are, among other things, systems, methods and techniques for generating a representative data string. In one representative implementation: (a) starting data positions are identified within input strings of data values; (b) a subsequence of output data values is determined based on the data values at data positions determined with reference to the starting data positions within the input strings; (c) an identification is made as to which of the input strings have segments that match the subsequence of output data values, based on a matching criterion; (d) steps (a)-(c) are repeated for a number of iterations; and (e) the subsequences of output data values are combined across the iterations to provide an output data string, with the determination in step (b) for a current iteration being based on the identification in step (c) for a previous iteration.

Abstract translation: 除其他之外，提供用于生成代表性数据串的系统，方法和技术。 在一个代表性实现中：（a）起始数据位置在数据值的输入字符串内被识别; （b）输出数据值的子序列根据在参照输入串中的开始数据位置确定的数据位置处的数据值来确定; （c）基于匹配标准，确定哪个输入字符串具有与输出数据值的子序列匹配的段; （d）重复步骤（a） - （c）进行多次迭代; 并且（e）输出数据值的子序列在整个迭代中被组合以提供输出数据串，其中步骤（b）中针对当前迭代的确定是基于在先前迭代的步骤（c）中的识别。

公开(公告)号：US20090279471A1

公开(公告)日：2009-11-12

申请号：US12506055

申请日：2009-07-20

Applicant: Rajiv Vijayan ,  Fuyun Ling ,  Gordon Kent Walker ,  Ramaaswamy Murali ,  Ashok Mantravadi ,  Anand Subramaniam ,  Krishnamurthy Viswanathan

Inventor： Rajiv Vijayan ,  Fuyun Ling ,  Gordon Kent Walker ,  Ramaaswamy Murali ,  Ashok Mantravadi ,  Anand Subramaniam ,  Krishnamurthy Viswanathan

IPC: H04H20/71 ,  H04L27/28

CPC classification number: H04L5/0041 ,  H04L5/0007 ,  H04L5/0044 ,  H04L5/0048 ,  H04L12/189 ,  H04W72/005

Abstract: To broadcast different types of transmission having different tiers of coverage in a wireless broadcast network, each base station processes data for a wide-area transmission in accordance with a first mode (or coding and modulation scheme) to generate data symbols for the wide-area transmission and processes data for a local transmission in accordance with a second mode to generate data symbols for the local transmission. The first and second modes are selected based on the desired coverage for wide-area and local transmissions, respectively. The base station also generates pilots and overhead information for local and wide-area transmissions. The data, pilots, and overhead information for local and wide-area transmissions are multiplexed onto their transmission spans, which may be different sets of frequency subbands, different time segments, or different groups of subbands in different time segments. More than two different types of transmission may also be multiplexed and broadcast.

Abstract translation: 为了在无线广播网络中广播具有不同层次的不同类型的传输，每个基站根据第一模式（或编码和调制方案）处理广域传输的数据，以产生广域的数据符号 根据第二模式传输和处理用于本地传输的数据，以产生用于本地传输的数据符号。 分别基于广域和本地传输的期望覆盖来选择第一和第二模式。 基站还为本地和广域传输生成导频和开销信息。 用于本地和广域传输的数据，导频和开销信息被复用到它们的传输跨度，其可以是不同组的频率子带，不同时间段或不同时间段中的不同子带组。 多于两种不同类型的传输也可以被复用和广播。

公开(公告)号：US20050223692A1

公开(公告)日：2005-10-13

申请号：US10822351

申请日：2004-04-09

Applicant: Krishnamurthy Viswanathan

Inventor： Krishnamurthy Viswanathan

IPC: F02K1/44 ,  F02K3/04

CPC classification number: F02K1/44 ,  F05D2250/192 ,  F05D2260/96

Abstract: An exhaust flow system for use with a turbofan jet engine that provides separate fan flow and core flow streams that are not mixed. The system includes a fan nozzle and a primary flow nozzle. The primary flow nozzle includes a downstream edge portion that is either beveled with one or more beveled surfaces, or that contains a curving edge surface or a combination of a beveled edge and a curved edge to help direct noise generated by the jet engine upwardly away from a ground surface during take-off and landing procedures. The primary exhaust nozzle can also be orientated with an elongated lip portion thereof formed by the beveled edge surface such that the lip potion is orientated between a top dead center and a bottom dead center position, to thus help direct noise away from a cabin area of a fuselage of a mobile platform during cruise conditions.

Abstract translation: 用于涡轮风扇喷气发动机的排气流系统，其提供不混合的单独的风扇流和核心流。 该系统包括风扇喷嘴和主流动喷嘴。 主流动喷嘴包括下游边缘部分，其与一个或多个倾斜表面倾斜，或者包含弯曲边缘表面或者倾斜边缘和弯曲边缘的组合，以帮助引导喷气发动机产生的噪声向上远离 起飞和着陆过程中的地面。 主排气喷嘴还可以由其由倾斜的边缘表面形成的细长的唇部部分定向，使得唇部部分定向在上止点和下死点之间，从而有助于将噪声远离驾驶室 在巡航条件下的移动平台的机身。

公开(公告)号：US09141914B2

公开(公告)日：2015-09-22

申请号：US13286150

申请日：2011-10-31

Applicant: Krishnamurthy Viswanathan ,  Choudur Lakshminarayan ,  Wade J. Satterfield ,  Vanish Talwar ,  Chengwei Wang

Inventor： Krishnamurthy Viswanathan ,  Choudur Lakshminarayan ,  Wade J. Satterfield ,  Vanish Talwar ,  Chengwei Wang

IPC: G06N99/00

CPC classification number: G06N99/005

Abstract: Probable anomalies associated with at least one data metric may be detected across a series of windows of time series data by comparison of data to a threshold. An estimated probability of anomalies for each of the windows of time series data may be determined based on the detected probable anomalies and the threshold. The windows of time series data may be ranked based on the estimated probabilities. Probable anomalies associated with highest ranked windows of time series data may be output to a user.

Abstract translation: 通过将数据与阈值进行比较，可以跨时间序列数据的一系列窗口检测与至少一个数据度量相关联的可能的异常。 可以基于检测到的可能的异常和阈值来确定时间序列数据的每个窗口的估计的异常概率。 时间序列数据的窗口可以基于估计的概率进行排名。 与时间序列数据的最高排名窗口相关联的可能的异常可以被输出给用户。

公开(公告)号：US08463784B1

公开(公告)日：2013-06-11

申请号：US12537614

申请日：2009-08-07

Applicant: Ron Bekkerman ,  Martin B. Scholz ,  Krishnamurthy Viswanathan

Inventor： Ron Bekkerman ,  Martin B. Scholz ,  Krishnamurthy Viswanathan

IPC: G06F17/30

CPC classification number: G06K9/6219

Abstract: Improving data clustering stability. A computer accesses a first plurality of cluster groups comprising data. The computer then applies a clustering method to the first plurality of cluster groups while adjusting said first plurality of cluster groups to be in higher agreement between themselves, thereby generating a second plurality of cluster groups that is in higher agreement between themselves than the first plurality of cluster groups. The second plurality of cluster groups corresponds to the first plurality of cluster groups.

Abstract translation: 提高数据聚类的稳定性。 计算机访问包括数据的第一多个群集组。 然后，计算机将聚类方法应用于第一多个聚类组，同时调整所述第一多个聚类组在它们之间具有较高的一致性，从而生成与第一多个聚类组之间较高的一致性的第二多个聚类组 集群组。 第二组群集组对应于第一组多个群组。