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    HYPOTHESIS-DRIVEN, REAL-TIME ANALYSIS OF PHYSIOLOGICAL DATA STREAMS USING TEXTUAL REPRESNETATIONS
    2.
    发明申请
    HYPOTHESIS-DRIVEN, REAL-TIME ANALYSIS OF PHYSIOLOGICAL DATA STREAMS USING TEXTUAL REPRESNETATIONS 审中-公开
    使用文字表示的生理数据流的实时驱动实时分析

    公开(公告)号：US20160188812A1

    公开(公告)日：2016-06-30

    申请号：US14990198

    申请日：2016-01-07

    申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

    发明人： Alain E. Biem ,  Timothy R. Dinger ,  Nagui Halim ,  Gang Luo ,  Daby M. Sow ,  Deepak S. Turaga

    IPC分类号： G06F19/00

    CPC分类号： G06F19/324 ,  G06F16/24568 ,  G06N5/02 ,  G16H50/20

    摘要： A method of analyzing physiological data streams. According to the method, physiological data is received into a computerized machine. The physiological data comprises numerical data and medical symptoms of a patient. Features are extracted from the physiological data based on development of the physiological data over a period of time. The features are converted into a textual representation using natural language generation. Input terms for an information retrieval system operating on the computerized machine are automatically generated based on the features. The input terms are input to the information retrieval system. A corpus of data is automatically searched to retrieve results to the input terms using the information retrieval system.

    摘要翻译： 分析生理数据流的方法。 根据该方法，将生理数据接收到计算机化机器中。 生理数据包括患者的数值数据和医学症状。 基于一段时间内生理数据的发展，从生理数据中提取特征。 使用自然语言生成将特征转换为文本表示。 基于功能自动生成在计算机化机器上运行的信息检索系统的输入项。 输入项输入到信息检索系统。 使用信息检索系统自动搜索数据语料库以将结果检索到输入项。

    IDENTIFYING ANOMALIES IN ORIGINAL METRICS OF A SYSTEM
    3.
    发明申请
    IDENTIFYING ANOMALIES IN ORIGINAL METRICS OF A SYSTEM 有权
    在系统的原始度量中识别异常

    公开(公告)号：US20140359363A1

    公开(公告)日：2014-12-04

    申请号：US13904556

    申请日：2013-05-29

    申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

    发明人： Alain E. Biem

    IPC分类号： G06F11/30

    CPC分类号： G06F11/3024 ,  G06F11/3055 ,  G06F11/3409 ,  G06F11/3452 ,  H04N5/2173 ,  Y02D10/34

    摘要： An anomalous component within a processing system is identified. One or more transformed metrics of a processing system being monitored are analyzed, and an anomaly in the processing system is detected. Based on detecting the anomaly, at least one transformed metric is inversely transformed to obtain at least one suspect original metric. Using the at least one suspect original metric, the anomalous component is identified.

    摘要翻译： 识别处理系统内的异常组件。 分析被监视的处理系统的一个或多个变换度量，并检测处理系统中的异常。 基于检测到异常，至少一个变换度量被逆变换以获得至少一个可疑原始度量。 使用至少一个可疑的原始度量，识别异常成分。

    Determining an anomalous state of a system at a future point in time
    4.
    发明授权
    Determining an anomalous state of a system at a future point in time 有权

    公开(公告)号：US10452983B2

    公开(公告)日：2019-10-22

    申请号：US14823649

    申请日：2015-08-11

    申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

    发明人： Alain E. Biem

    IPC分类号： G06E1/00 ,  G06F11/07 ,  G06N5/02 ,  G06N5/04

    摘要： A prediction technique to predict an anomalous state of a processing environment at a future point in time. One or more values of one or more metrics of the processing system are obtained. For the one or more metrics, one or more predicted values are determined for one or more points in time in the future. Based the predicted values, one or more change values for one or more points in time are determined, and based on the one or more change values, a determination is made as to whether an anomalous state exists within the processing system.

    System and Methodology to Handle Misdirected Input Data During Multi Partitioned Real Time Analytics
    5.
    发明申请
    System and Methodology to Handle Misdirected Input Data During Multi Partitioned Real Time Analytics 审中-公开
    系统和方法在多分区实时分析期间处理误导输入数据

    公开(公告)号：US20160125313A1

    公开(公告)日：2016-05-05

    申请号：US14528148

    申请日：2014-10-30

    申请人： International Business Machines Corporation

    发明人： Alain E. Biem ,  Dattaram Bijavara Aswathanarayana Rao ,  Bharath K. Devaraju

    IPC分类号： G06N99/00 ,  G06N5/02

    CPC分类号： G06N99/005 ,  G06N5/04

    摘要： A mechanism is provided in a stream computing platform for data stream change detection and model swapping. The mechanism builds a model for each input data stream in a stream computing platform. Each tuple of each given input data stream is tagged with a key corresponding to the given input data stream. The mechanism performs an operation on each input data stream using its corresponding model. The mechanism detects a misdirected input data stream, which is tagged with a key that does not correspond to the misdirected input data stream. The mechanism pauses the misdirected input data. stream swaps a model corresponding to the misdirected input data stream with another model corresponding to another paused input data stream.

    摘要翻译： 在用于数据流更改检测和模型交换的流计算平台中提供了一种机制。 该机制为流计算平台中的每个输入数据流建立一个模型。 每个给定的输入数据流的每个元组用对应于给定输入数据流的键标记。 该机制使用其对应的模型对每个输入数据流执行操作。 该机制检测错误输入的数据流，其被标记有与错误导入的输入数据流不对应的密钥。 该机制暂停输入错误的数据。 流与与错误导向的输入数据流相对应的模型与另一个暂停的输入数据流对应的模型交换。

    Real time simulation monitoring
    6.
    发明授权
    Real time simulation monitoring 有权

    公开(公告)号：US10693736B2

    公开(公告)日：2020-06-23

    申请号：US14515563

    申请日：2014-10-16

    申请人： International Business Machines Corporation

    发明人： Alain E. Biem ,  Bruce G. Elmegreen ,  Tayfun Gokmen

    IPC分类号： H04L12/24 ,  G06F11/34 ,  H04L12/26

    摘要： A method for monitoring at least one simulation program includes capturing, by a computer, a plurality of simulation data from the at least one simulation program, the capturing is performed in real time while the at least one simulation program is continuously streaming the plurality of simulation data, analyzing, by the computer, the captured plurality of simulation data using a streaming data software, identifying a plurality of predefined criteria within the analyzed plurality of simulation data, the plurality of predefined criteria includes at least one of an event, a result and a variable, and providing feedback to the at least one simulation program to modify a plurality of simulation parameters according to the at least one identified event, result and variable.

    UNSUPERVISED MULTISOURCE TEMPORAL ANOMALY DETECTION
    8.
    发明申请
    UNSUPERVISED MULTISOURCE TEMPORAL ANOMALY DETECTION 审中-公开
    不相容的多媒体时间异常检测

    公开(公告)号：US20170060652A1

    公开(公告)日：2017-03-02

    申请号：US14674435

    申请日：2015-03-31

    申请人： International Business Machines Corporation

    发明人： Alain E. Biem ,  Jing Gao ,  Deepak S. Turaga ,  Long H. Vu ,  Houping Xiao

    IPC分类号： G06F11/07

    CPC分类号： G06F11/079 ,  G06F11/0709 ,  G06F11/0751 ,  G06F11/0754 ,  G06F11/0778 ,  G06F16/2365 ,  G16H50/20 ,  H04L41/142 ,  H04L63/1425

    摘要： In one embodiment, a computer-implemented method includes observing one or more entities by way of two or more data sources. A plurality of detection scores are computed by one or more detectors. Each detection score corresponds to an entity of the one or more entities, a detector of the one or more detectors, and a time. The plurality of detection scores are compiled into two or more tensors, where each tensor corresponds to a data source of the two or more data sources. The two or more tensors are compared to one another, by a computer processor. An inconsistency score is calculated for each of the one or more entities, based on comparing the two or more tensors to one another.

    摘要翻译： 在一个实施例中，计算机实现的方法包括通过两个或多个数据源观察一个或多个实体。 多个检测分数由一个或多个检测器计算。 每个检测分数对应于一个或多个实体的实体，一个或多个检测器的检测器和时间。 多个检测分数被编译成两个或更多个张量，其中每个张量对应于两个或更多个数据源的数据源。 通过计算机处理器将两个或多个张量相互比较。 基于将两个或多个张量彼此进行比较，对于一个或多个实体中的每一个计算不一致性分数。

    REAL TIME SIMULATION MONITORING
    10.
    发明申请
    REAL TIME SIMULATION MONITORING 审中-公开
    实时模拟监测

    公开(公告)号：US20160112274A1

    公开(公告)日：2016-04-21

    申请号：US14515563

    申请日：2014-10-16

    申请人： International Business Machines Corporation

    发明人： Alain E. Biem ,  Bruce G. Elmegreen ,  Tayfun Gokmen

    IPC分类号： H04L12/24 ,  G06F11/34

    摘要： A method for monitoring at least one simulation program includes capturing, by a computer, a plurality of simulation data from the at least one simulation program, the capturing is performed in real time while the at least one simulation program is continuously streaming the plurality of simulation data, analyzing, by the computer, the captured plurality of simulation data using a streaming data software, identifying a plurality of predefined criteria within the analyzed plurality of simulation data, the plurality of predefined criteria includes at least one of an event, a result and a variable, and providing feedback to the at least one simulation program to modify a plurality of simulation parameters according to the at least one identified event, result and variable.

    摘要翻译： 一种用于监视至少一个模拟程序的方法包括由计算机捕获来自所述至少一个仿真程序的多个模拟数据，所述捕获被实时执行，同时所述至少一个模拟程序持续地流式传输所述多个模拟 数据，由计算机分析所捕获的多个模拟数据，使用流式数据软件，识别所分析的多个模拟数据内的多个预定标准，所述多个预定标准包括事件，结果和 变量，并且根据所述至少一个识别的事件，结果和变量向所述至少一个模拟程序提供反馈以修改多个模拟参数。