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    • 31. 发明申请
    • Method, apparatus and computer program product for constructing a diagnostic network model
    • 用于构建诊断网络模型的方法,装置和计算机程序产品
    • US20050028033A1
    • 2005-02-03
    • US10631697
    • 2003-07-31
    • Oscar KipersztokHaiqin WangPing Xue
    • Oscar KipersztokHaiqin WangPing Xue
    • G06F11/00G06F11/25
    • G06F11/2257G05B23/0283
    • A method, apparatus and computer program product are provided for constructing a diagnostic network model in a more efficient and timely manner and with improved consistency. A structured electronic representation of a document is automatically reviewed to identify the symptoms experienced by the complex system, the plurality of components of the complex system and the causal relationships between a failure of the respective components and the occurrence of the various symptoms. Respective probabilities can be associated with the causal relationships between the symptoms and the failure of the various components. A network model, such as a Bayesian network model, may then be automatically constructed to represent the symptoms, the components, the causal relationships between failure of the components and exhibition of the symptoms, and the probabilities of the respective causal relationships.
    • 提供了一种方法,装置和计算机程序产品,用于以更有效和及时的方式构建诊断网络模型并且具有改进的一致性。 自动审查文件的结构化电子表示,以识别复杂系统所经历的症状,复杂系统的多个组成部分以及各个部件的故障与各种症状的发生之间的因果关系。 相关概率可能与症状和各种成分的失败之间的因果关系相关。 然后,可以自动构建网络模型,例如贝叶斯网络模型,以代表症状,组成部分,组件失败和症状展现之间的因果关系以及各种因果关系的概率。
    • 33. 发明授权
    • Radiographic testing system with learning-based performance prediction
    • 射线检测系统与基于学习的性能预测
    • US6151383A
    • 2000-11-21
    • US224242
    • 1998-12-30
    • Ping XueRichard AufrichtigMichael Andrew Juhl
    • Ping XueRichard AufrichtigMichael Andrew Juhl
    • H05G1/26A61B6/00H05G1/44
    • A61B6/542A61B6/00H05G1/44
    • Disclosed herein is a radiographic imaging system which performs system performance monitoring by (1) using automatic exposure control (AEC) components to predict the average image gray level; (2) obtaining measured average image gray levels from the portions of the X-ray detector situated in the X-ray shadow of the AEC components; and then (3) comparing the predicted and measured values. The predicted values are determined by use of a prediction model which is modified by a learning system over successive exposures to provide more accurate predictions. After the learning system has sufficiently developed the prediction model, the error between the predicted and measured gray level values may be monitored in later exposures and an error routine can be activated if the error exceeds a predetermined threshold. In this case, the error may indicate that system components in the imaging chain (e.g., the detector or AEC components) require maintenance.
    • 本文公开了一种射线成像系统,其通过(1)使用自动曝光控制(AEC)分量来预测平均图像灰度级来执行系统性能监视; (2)从位于AEC组件的X射线阴影中的X射线检测器的部分获得测量的平均图像灰度; 然后(3)比较预测值和测量值。 预测值通过使用由学习系统对连续曝光进行修改以提供更准确的预测的预测模型来确定。 在学习系统充分发展了预测模型之后,可以在稍后的曝光中监视预测和测量的灰度值之间的误差,并且如果误差超过预定阈值,则可以激活错误例程。 在这种情况下,错误可能表明成像链中的系统组件(例如,检测器或AEC组件)需要维护。
    • 35. 发明授权
    • Secure information classification
    • 安全信息分类
    • US08751424B1
    • 2014-06-10
    • US13327046
    • 2011-12-15
    • Richard H. WojcikPing XueStephen R. PoteetPhilip Harrison
    • Richard H. WojcikPing XueStephen R. PoteetPhilip Harrison
    • G06F15/18
    • G06N99/005G06F17/30707G06F21/554G06F21/6218G06F2221/2113H04L63/20
    • In one embodiment a method to create a system to manage documents with sensitive or classified content comprises extracting a list of text features enabling interaction with the user developing the system to create a rule-based classifier based on the list of text features and one or more synonymous features, applying the rule-based classifier to one or more selected documents to tag a set of documents with the sensitive or classified information they contain, training a statistical text classifier using the tagged documents generated as a training set, applying the trained statistical text classifier to the training set, and reapplying the refined rule-based classifier to the one or more documents to tag a set of documents with the sensitive or classified information they contain. Other embodiments may be described.
    • 在一个实施例中,创建用于管理具有敏感或分类内容的文档的系统的方法包括提取文本特征列表,使得能够与开发系统的用户进行交互,以便基于文本特征列表和一个或多个 同义词特征,将基于规则的分类器应用于一个或多个所选择的文档以使用其包含的敏感或分类信息来标记一组文档,使用生成为训练集的标记文档来训练统计文本分类器,应用经过训练的统计文本 分类器到训练集合,并且将精细的基于规则的分类器重新应用于一个或多个文档,以使用它们包含的敏感或分类信息标记一组文档。 可以描述其他实施例。
    • 40. 发明授权
    • Methods and systems for analyzing incident reports
    • 分析事件报告的方法和系统
    • US07613667B2
    • 2009-11-03
    • US11173598
    • 2005-06-30
    • Gary A. CoenPing Xue
    • Gary A. CoenPing Xue
    • G06E1/00G06E3/00
    • G06F17/2785G06F17/271G06Q30/0201
    • Systems and methods for examining text, such as incident reports, are disclosed. In one embodiment, a method includes specifying a client profile including at least one scenario of interest, the scenario of interest being formulated in an event calculus formalism; analyzing a portion of text for relevant information at least partially described by the scenario of interest; detecting relevant information including detecting a positive match between at least part of information relevant to the scenario of interest and at least part of the portion of text being analyzed; upon detecting such relevant information, extracting the relevant information; representing the extracted relevant information in the event calculus formalism; and performing an inference process on the extracted relevant information represented in the event calculus formalism.
    • 披露了诸如事件报告等检查文本的系统和方法。 在一个实施例中,一种方法包括指定包括至少一个感兴趣场景的客户端简档,感兴趣的场景在事件演算形式中被制定; 分析文本的一部分,以便由感兴趣的场景至少部分描述的相关信息; 检测相关信息,包括检测与感兴趣场景相关的信息的至少一部分与正在分析的文本部分的至少部分之间的肯定匹配; 检测到相关信息后,提取相关信息; 代表提取的相关信息在事件演算形式主义; 对所提取的在事件演算形式中表示的相关信息进行推理处理。