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1. 发明申请

US20120019351A1 SYSTEM AND METHOD FOR MONITORING COMPUTER SERVERS AND NETWORK APPLIANCES 有权
标题翻译：用于监控计算机服务器和网络设备的系统和方法
公开(公告)号：US20120019351A1
公开(公告)日：2012-01-26
申请号：US12841239
申请日：2010-07-22
申请人： Anton Bougaev , Aleksey Urmanov , James Britton
发明人： Anton Bougaev , Aleksey Urmanov , James Britton
IPC分类号： G05B23/02
CPC分类号： G06F11/3058 , G06F11/3031 , G06F11/3072 , G06F11/3089
摘要： A sensor board includes at least one sensor in communication with a controller having a single board address to facilitate sensor polling by standard, product-independent modules of a circuit board for a computer server or network appliance. Miniature low-cost sensor boards can be placed in multiple locations on circuit boards without the necessity of being specified and integrated into the circuit board during the design phase to reduce or eliminate associated design risks or delays.
摘要翻译：传感器板包括与具有单个板地址的控制器通信的至少一个传感器，以便于用于计算机服务器或网络设备的电路板的标准的与产品无关的模块的传感器轮询。微型低成本传感器板可以放置在电路板的多个位置，而无需在设计阶段指定并集成到电路板中，以减少或消除相关的设计风险或延迟。

2. 发明申请

US20070294591A1 Method and apparatus for identifying a failure mechanism for a component in a computer system 有权
标题翻译：用于识别计算机系统中的部件的故障机制的方法和装置
公开(公告)号：US20070294591A1
公开(公告)日：2007-12-20
申请号：US11432644
申请日：2006-05-11
申请人： Alexander Usynin , Aleksey Urmanov , Kenny Gross
发明人： Alexander Usynin , Aleksey Urmanov , Kenny Gross
IPC分类号： G06F11/00
CPC分类号： G06F11/0748 , G06F1/30 , G06F11/0751 , G06F11/2252
摘要： One embodiment of the present invention provides a system that identifies a failure mechanism for a component. The system first constructs a library of failure signatures from a set of components, wherein each failure signature in the library characterizes a known failure mechanism associated with a component in the set of components. Next, the system receives a telemetry signal which is measured from a component under surveillance. The system then determines if there is an anomaly in the telemetry signal. If so, the system performs pattern-matching operations between the telemetry signal and failure signatures in the library. Next, if a match is found, the system identifies the failure mechanism for the component under surveillance based on the matching failure signature.
摘要翻译：本发明的一个实施例提供了一种识别组件的故障机制的系统。系统首先从一组组件构建故障签名库，其中库中的每个故障签名表征与组件组中的组件相关联的已知故障机制。接下来，系统接收从监控的部件测量的遥测信号。然后，系统确定遥测信号中是否存在异常。如果是这样，系统会在遥控信号和库中的故障签名之间执行模式匹配操作。接下来，如果发现匹配，系统将根据匹配的故障签名来识别被监视的组件的故障机制。

3. 发明申请

US20060212755A1 Method and apparatus for detecting the onset of hard disk failures 有权
公开(公告)号：US20060212755A1
公开(公告)日：2006-09-21
申请号：US11205472
申请日：2005-08-16
申请人： Aleksey Urmanov , Kenny Gross
发明人： Aleksey Urmanov , Kenny Gross
IPC分类号： G06F11/00
CPC分类号： G11B19/04 , G01H1/003 , G06F11/0727 , G06F11/0751 , G11B5/40 , G11B20/1816 , G11B27/36 , G11B2220/2516 , G11B2220/415
摘要： A system that detects the onset of hard disk drive failure. During operation, the system measures vibrations from the hard disk drive to produce one or more vibration signals. Next, the system generates a vibration signature for the hard disk drive from the measured vibration signals. The system then determines if the vibration signature indicates the onset of hard disk failure by comparing the vibration signature with a reference vibration signature for the hard disk drive. If so, the system generates a warning or takes a remedial action.

4. 发明申请

US20110255768A1 Method and System for Automated Ball-Grid Array Void Quantification 有权
标题翻译：自动球栅阵列空隙量化方法与系统
公开(公告)号：US20110255768A1
公开(公告)日：2011-10-20
申请号：US12759960
申请日：2010-04-14
申请人： David K. McElfresh , Anton A. Bougaev , Aleksey Urmanov
发明人： David K. McElfresh , Anton A. Bougaev , Aleksey Urmanov
IPC分类号： G06K9/62
CPC分类号： G06T7/001 , G06T2207/30152
摘要： A method and system for identifying voids in solder balls in a ball-grid array (BGA) using an image of the BGA include localizing an image of a solder ball on the BGA image, the solder ball image having a radius and having multiple points each having an image intensity, and producing a void-free model image of the solder ball based on the radius of the solder ball image, the void-free model image having multiple points each having an image intensity. The method and system also include computing a difference between the image intensities of the points of the solder ball image and the image intensities of the points of the void-free model image to produce a residual image, and identifying a void using the residual image.
摘要翻译：使用BGA的图像来识别球栅阵列（BGA）中的焊球中的空隙的方法和系统包括在BGA图像上定位焊球的图像，焊球图像具有半径并且具有多个点具有图像强度，并且基于焊球图像的半径产生焊球的无空隙模型图像，具有多个点的无空隙模型图像具有图像强度。该方法和系统还包括计算焊球图像的点的图像强度与无空隙模型图像的点的图像强度之间的差异以产生残余图像，以及使用残差图像来识别空隙。

5. 发明申请

US20070260566A1 Reducing the size of a training set for classification 有权
标题翻译：减少分类训练集的大小
公开(公告)号：US20070260566A1
公开(公告)日：2007-11-08
申请号：US11403134
申请日：2006-04-11
申请人： Aleksey Urmanov , Anton Bougaev , Kenny Gross
发明人： Aleksey Urmanov , Anton Bougaev , Kenny Gross
IPC分类号： G06N3/08 , G06F15/18
CPC分类号： G06K9/6256 , G06K9/6287
摘要： A system that reduces the size of a design data set. During this design data set reduction operation, the system computes a decision boundary which separates a first group of data patterns in a training data set from a second group of data patterns in the training data set. For each data pattern in the training data set, the system determines if removing the data pattern from the training data set substantially affects the resulting decision boundary. If so, the system marks the data pattern as a key pattern. The system then removes all data patterns that are not marked as key patterns to produce a reduced training data set which represents the decision boundary.
摘要翻译：减小设计数据集大小的系统。在该设计数据集减少操作期间，系统计算将训练数据集中的第一组数据模式与训练数据集中的第二组数据模式分离的判定边界。对于训练数据集中的每个数据模式，系统确定是否从训练数据集中移除数据模式基本上影响所得的决策边界。如果是这样，系统将数据模式标记为关键模式。然后，该系统移除未标记为关键模式的所有数据模式，以产生表示决策边界的减少的训练数据集。

6. 发明申请

US20070244843A1 Method and apparatus for classifying data using R-functions 有权
标题翻译：使用R功能对数据进行分类的方法和装置
公开(公告)号：US20070244843A1
公开(公告)日：2007-10-18
申请号：US11387253
申请日：2006-03-22
申请人： Anton Bougaev , Aleksey Urmanov
发明人： Anton Bougaev , Aleksey Urmanov
IPC分类号： G06N5/02
CPC分类号： G06N7/005 , G06K9/6287
摘要： 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.
摘要翻译：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。

7. 发明申请

US20130103618A1 DECISION MAKING WITH ANALYTICALLY COMBINED SPLIT CONDITIONS 有权
标题翻译：决策采用分析性组合分割条件
公开(公告)号：US20130103618A1
公开(公告)日：2013-04-25
申请号：US13279447
申请日：2011-10-24
申请人： Aleksey URMANOV , Anton Bougaev
发明人： Aleksey URMANOV , Anton Bougaev
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06K9/6282
摘要： Systems, methods, and other embodiments associated with decision making with analytically combined split conditions are provided. In one embodiment, a method for classifying data is provided. An input data sample is received for classification as belonging to one of two possible classes. The input data sample includes a set of attribute values. The method includes evaluating the set of attribute values with a tree function that defines a decision boundary of a classification tree. The tree function classifies an input data sample as belonging to one of the two possible classes based, at least in part, on the attribute values of the input data sample. In another embodiment parameters of the tree function are derived by applying a gradient descent parameter update rule to the training data samples.
摘要翻译：提供了与分析组合拆分条件的决策相关联的系统，方法和其他实施例。在一个实施例中，提供了一种用于对数据进行分类的方法。接收输入数据样本作为属于两个可能类别之一的分类。输入数据样本包括一组属性值。该方法包括用定义分类树的决策边界的树函数来评估属性值集合。至少部分地基于输入数据样本的属性值，树函数将输入数据样本归类为属于两个可能类之一的输入数据样本。在另一个实施例中，通过对训练数据样本应用梯度下降参数更新规则来导出树函数的参数。

8. 发明授权

US08306311B2 Method and system for automated ball-grid array void quantification 有权
标题翻译：自动化球栅阵列空隙量化方法与系统
公开(公告)号：US08306311B2
公开(公告)日：2012-11-06
申请号：US12759960
申请日：2010-04-14
申请人： David K. McElfresh , Anton A. Bougaev , Aleksey Urmanov
发明人： David K. McElfresh , Anton A. Bougaev , Aleksey Urmanov
IPC分类号： G06K9/00
CPC分类号： G06T7/001 , G06T2207/30152
摘要： A method and system for identifying voids in solder balls in a ball-grid array (BGA) using an image of the BGA include localizing an image of a solder ball on the BGA image, the solder ball image having a radius and having multiple points each having an image intensity, and producing a void-free model image of the solder ball based on the radius of the solder ball image, the void-free model image having multiple points each having an image intensity. The method and system also include computing a difference between the image intensities of the points of the solder ball image and the image intensities of the points of the void-free model image to produce a residual image, and identifying a void using the residual image.
摘要翻译：使用BGA的图像来识别球栅阵列（BGA）中的焊球中的空隙的方法和系统包括在BGA图像上定位焊球的图像，焊球图像具有半径并且具有多个点具有图像强度，并且基于焊球图像的半径产生焊球的无空隙模型图像，具有多个点的无空隙模型图像具有图像强度。该方法和系统还包括计算焊球图像的点的图像强度与无空隙模型图像的点的图像强度之间的差异以产生残余图像，以及使用残差图像来识别空隙。

9. 发明申请

US20120131007A1 System and Method for Publishing 审中-公开
标题翻译：系统和出版方法
公开(公告)号：US20120131007A1
公开(公告)日：2012-05-24
申请号：US13233024
申请日：2011-09-15
申请人： Anton A. Bougaev , Aleksey Urmanov , Eugene Kolinko , Joshua C. Walter
发明人： Anton A. Bougaev , Aleksey Urmanov , Eugene Kolinko , Joshua C. Walter
IPC分类号： G06F17/30
CPC分类号： G06F16/958
摘要： 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.
摘要翻译：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。

10. 发明申请

US20070027646A1 REDUCING UNCERTAINTY IN SEVERELY QUANTIZED TELEMETRY SIGNALS 有权
标题翻译：在严格量化的电报信号中减少不确定度
公开(公告)号：US20070027646A1
公开(公告)日：2007-02-01
申请号：US11194954
申请日：2005-08-01
申请人： Aleksey Urmanov , Kenny Gross
发明人： Aleksey Urmanov , Kenny Gross
IPC分类号： G06F19/00
CPC分类号： G01D3/08
摘要： A system that facilitates reducing uncertainty in a quantized signal. During operation, the system measures a quantized output signal from a sensor. Next, the system obtains an initial value for an uncertainty interval for the quantized output signal. The system then margins the quantized output signal high by introducing a controlled increase in the mean of the quantized output signal to produce a high-margined quantized output signal. Next, the system measures the high-margined quantized output signal from the sensor. The system then uses information obtained from the high-margined quantized output signal to reduce the uncertainty interval for the quantized output signal.
摘要翻译：有助于减少量化信号的不确定性的系统。在操作期间，系统测量来自传感器的量化输出信号。接下来，系统获得用于量化输出信号的不确定性间隔的初始值。然后，通过引入量化输出信号的平均值的受控增加以产生高边缘化的量化输出信号，系统然后使量化的输出信号为高。接下来，系统测量来自传感器的高边缘量化的输出信号。然后，系统使用从高边距量化输出信号获得的信息来减小量化输出信号的不确定性间隔。

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