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1. 发明授权

US08781981B1 Devices and methods for use in forecasting time evolution of states of variables in a domain 有权
标题翻译：用于预测域中变量状态的时间演化的设备和方法
公开(公告)号：US08781981B1
公开(公告)日：2014-07-15
申请号：US13405757
申请日：2012-02-27
申请人： Oscar Kipersztok , Uri Nodelman
发明人： Oscar Kipersztok , Uri Nodelman
IPC分类号： G06N5/00 , G06N5/04 , G06N7/00
CPC分类号： G06N5/00 , G06N5/04 , G06N7/00 , G06N7/005 , G06Q10/06
摘要： Devices and methods for use in forecasting the state of one or more of a plurality of variables within a domain are provided. One example method includes determining, at a processor, a first probability curve indicative of a probability of a change-in-state of the first variable over a first interval, the first probability defining a first substantially continuous time trajectory, determining, at the processor, a second probability curve indicative of a probability of a change-instate of the second variable over a second interval, the second probability defining a second substantially continuous time trajectory, the first interval at least partially overlapping with the second interval, and displaying, at a display device, the first and second probability curves substantially in real time, thereby permitting a user to compare the relative probabilities of the change-in-state of at least one of the first and second variables.
摘要翻译：提供了用于预测域内的多个变量中的一个或多个的状态的设备和方法。一个示例性方法包括在处理器处确定指示第一变量在第一间隔上的状态变化的概率的第一概率曲线，所述第一概率定义第一基本上连续的时间轨迹，在处理器处确定指示在第二间隔中第二变量的变化概率的第二概率曲线，所述第二概率定义第二基本上连续的时间轨迹，所述第一间隔至少部分地与第二间隔重叠，并且在显示装置，第一和第二概率曲线基本上实时地进行，从而允许用户比较第一和第二变量中的至少一个的状态变化的相对概率。

2. 发明申请

US20050197992A1 System, method, and computer program product for combination of cognitive causal models with reasoning and text processing for knowledge driven decision support 有权
标题翻译：系统，方法和计算机程序产品将认知因果模型与推理和文本处理相结合，用于知识驱动的决策支持
公开(公告)号：US20050197992A1
公开(公告)日：2005-09-08
申请号：US11070452
申请日：2005-03-02
申请人： Oscar Kipersztok , Philip Harrison
发明人： Oscar Kipersztok , Philip Harrison
IPC分类号： G06N5/00
CPC分类号： G06F17/2785 , G06F17/30707 , G06N5/04
摘要： A system, method, and computer program product for combining causal domain models with reasoning and text processing for knowledge driven decision support are provided. A knowledge driven decision support system is capable of creating a domain model, extracting and processing quantities of text according to the domain model, and generating understanding of the content and implications of information sensitive to analysts. An interface may be used to receive input to model complex relationships of a domain, establish implications of interest or request a query, and update the causal model. A processing element can capture and process text into text profiles by incorporating the domain model and process the text profiles in accordance with the domain model by applying formal reasoning to the information to derive trends, predict events, or arrive at other query results. An output element can provide a user the resulting information related to the domain model.
摘要翻译：提供了一种用于将因果域模型与推理和文本处理相结合的系统，方法和计算机程序产品，用于知识驱动的决策支持。知识驱动的决策支持系统能够创建域模型，根据域模型提取和处理文本的数量，并且产生对分析人员敏感信息的内容和影响的理解。接口可用于接收输入以建模域的复杂关系，建立感兴趣的意图或请求查询，以及更新因果模型。处理元件可以通过结合域模型并通过将正式推理应用于信息来导出趋势，预测事件或到达其他查询结果来根据域模型来处理文本到文本简档中并处理文本。输出元素可以向用户提供与域模型相关的结果信息。

3. 发明申请

US20070094219A1 System, method, and computer program to predict the likelihood, the extent, and the time of an event or change occurrence using a combination of cognitive causal models with reasoning and text processing for knowledge driven decision support 审中-公开
标题翻译：系统，方法和计算机程序，以通过认知因果模型与知识驱动决策支持的推理和文本处理的组合来预测事件或变化发生的可能性，程度和时间
公开(公告)号：US20070094219A1
公开(公告)日：2007-04-26
申请号：US11220213
申请日：2005-09-06
申请人： Oscar Kipersztok
发明人： Oscar Kipersztok
IPC分类号： G06N7/02
CPC分类号： G06Q10/04
摘要： Provided are systems, methods, and computer programs for predicting the likelihood, the extent, and/or the time of an event or change of occurrence using a combination of cognitive causal models with reasoning and text processing for knowledge driven decision support. Additional information may be required for particular queries, such as to predict the extent or time of events and change occurrences. An example knowledge driven decision support system for the prediction of information may include a domain model defining at least two domain concepts and at least one causal relationship between the domain concepts and a reasoning tool for employing the domain model by using at least two of the domain concepts and at least one of the causal relationships of the domain concepts to analyze at least one document for determining a result representing the prediction of an event occurrence, wherein at least one of the causal relationships being used is between two of the domain concepts being used.
摘要翻译：提供的是使用认知因果模型与知识驱动决策支持的推理和文本处理的组合来预测事件的可能性，程度和/或时间或发生变化的系统，方法和计算机程序。特定查询可能需要额外的信息，例如预测事件的发生程度或时间以及更改事件。用于预测信息的示例性知识驱动决策支持系统可以包括定义至少两个域概念的域模型和域概念之间的至少一个因果关系和用于通过使用域中的至少两个来采用域模型的推理工具概念和领域概念的至少一个因果关系来分析至少一个文档以确定表示事件发生的预测的结果，其中使用的因果关系中的至少一个在所使用的两个领域概念之间。

4. 发明申请

US20070018953A1 System, method, and computer program product for anticipatory hypothesis-driven text retrieval and argumentation tools for strategic decision support 审中-公开
标题翻译：系统，方法和计算机程序产品，用于预测假设驱动的文本检索和论证工具，用于战略决策支持
公开(公告)号：US20070018953A1
公开(公告)日：2007-01-25
申请号：US11475766
申请日：2006-06-27
申请人： Oscar Kipersztok
发明人： Oscar Kipersztok
IPC分类号： G09G5/00
CPC分类号： G06N5/003 , G06F16/3323 , G06F16/3329 , G06F16/335
摘要： Provided are systems, methods, and computer programs for facilitating strategic decision support that include providing a domain model, receiving a hypothesis or query, using the domain model and hypothesis or query with a related prediction, and searching for evidentiary results related to a prediction obtained from the hypothesis or from the query and domain model. A method may search and extract evidentiary results based on the hypothesis, query, or prediction. Evidentiary results may be associated with domain concepts and ranked according to relevancy to the associated domain concepts. And a user may select certain evidentiary results as being relevant, and these relevant evidentiary results may be used to create a report.
摘要翻译：提供了用于促进战略决策支持的系统，方法和计算机程序，其包括使用域模型提供域模型，接收假设或查询，并使用相关预测进行假设或查询，并搜索与获得的预测相关的证据结果从假设或查询和域模型。一种方法可以基于假设，查询或预测来搜索和提取证据结果。证据结果可能与域概念相关联，并根据与相关领域概念的相关性进行排名。用户可以选择某些证据结果作为相关性，并且这些相关证据结果可用于创建报告。

5. 发明授权

US06868319B2 Diagnostic system and method 有权
标题翻译：诊断系统和方法
公开(公告)号：US06868319B2
公开(公告)日：2005-03-15
申请号：US10375814
申请日：2003-02-26
申请人： Oscar Kipersztok , Karl J. Rein-Weston , Scott L. Nelson , Glenn A. Dildy , Susan Chan Chew
发明人： Oscar Kipersztok , Karl J. Rein-Weston , Scott L. Nelson , Glenn A. Dildy , Susan Chan Chew
IPC分类号： G05B23/02 , G06F11/30 , G06F11/22 , G06F11/277
CPC分类号： G05B23/0278
摘要： A diagnostic system and method are provided that include an interface for receiving input relating to observed symptoms indicative of one or more failed components, a processing element for correlating the input relating to the observed symptoms with at least one suspect component that is capable of causing the observed symptoms upon failure, and a display for presenting information relating to the suspect components. The processing element correlates the input relating to the observed symptoms with the suspect components in accordance with a diagnostic model constructed based upon systemic information, experiential information and factual information. The processing element generally presents the suspect components in a listing prioritized based upon the relative likelihood that the respective suspect components caused the observed symptoms. Additionally, the processing element can present a prioritized listing of tests that can be conducted to refine the identification and prioritization of the suspect components.
摘要翻译：提供了一种诊断系统和方法，其包括用于接收与观察到的症状相关的输入的界面，所述观察到的症状表示一个或多个失败的组件，用于将与所观察到的症状相关的输入与至少一个可疑组件相关联的处理元件，失败时观察到的症状，以及用于呈现与可疑组件相关的信息的显示。处理单元根据基于系统信息，经验信息和事实信息构建的诊断模型将与观察到的症状相关的输入与可疑组件相关联。处理元件通常将基于相应可疑组件引起观察到的症状的相对可能性优先列出的列表中的可疑组件呈现。此外，处理元件可以呈现可以进行的优化的测试列表，以优化可疑组件的识别和优先级。

6. 发明授权

US08510083B2 Method, apparatus and computer program product for constructing a diagnostic network model 有权
标题翻译：用于构建诊断网络模型的方法，装置和计算机程序产品
公开(公告)号：US08510083B2
公开(公告)日：2013-08-13
申请号：US10631697
申请日：2003-07-31
申请人： Oscar Kipersztok , Haiqin Wang , Ping Xue
发明人： Oscar Kipersztok , Haiqin Wang , Ping Xue
IPC分类号： G06F7/60 , G06F17/10
CPC分类号： G06F11/2257 , G05B23/0283
摘要： 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.
摘要翻译：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。

7. 发明授权

US08380731B2 Methods and apparatus using sets of semantically similar words for text classification 有权
标题翻译：使用语义相似词集合的文本分类方法和装置
公开(公告)号：US08380731B2
公开(公告)日：2013-02-19
申请号：US11955903
申请日：2007-12-13
申请人： Oscar Kipersztok
发明人： Oscar Kipersztok
IPC分类号： G06F17/30
CPC分类号： G06F17/30672
摘要： A computer-based searching method is described that includes receiving, at a computer, a search concept that includes a plurality of principal words, determining a set of semantically similar words for at least one of the principal words, calculating a degree of membership for each word in each set that reflects a semantic similarity in meaning to the principal word of the set, performing the search, computing a score based at least on the degrees of membership for the words in the word set, and sorting the results using the computed scores.
摘要翻译：描述了基于计算机的搜索方法，其包括在计算机处接收包括多个主词的搜索概念，为至少一个主词确定一组语义上类似的词，计算每个主词的隶属程度每个集合中的单词反映了对集合的主要词语的意义上的语义相似性，执行搜索，至少基于词集中的单词的隶属度计算分数，以及使用计算的分数对结果进行排序。

8. 发明申请

US20110240798A1 Automated Fire and Smoke Detection, Isolation, and Recovery 有权
标题翻译：自动火灾和烟雾探测，隔离和恢复
公开(公告)号：US20110240798A1
公开(公告)日：2011-10-06
申请号：US12754262
申请日：2010-04-05
申请人： Gary R. Gershzohn , David J. Finton , Oscar Kipersztok , Dragos D. Margineantu
发明人： Gary R. Gershzohn , David J. Finton , Oscar Kipersztok , Dragos D. Margineantu
IPC分类号： B64D45/00
CPC分类号： G08B17/00 , A62C3/08
摘要： Technologies are described herein for detecting and recovering from a fire event within an aircraft. The technologies receive sensor data from a number of sensors associated with an aircraft. A determination is made as to whether the sensor data exceeds predefined thresholds indicating the fire event within the aircraft. In response to determining that the sensor data exceeds the predefined thresholds indicating the fire event, the technologies determine a location of the fire event within the aircraft based on the sensor data and depower components of the aircraft associated with the fire event. The technologies then initiate a fire suppressant mechanism within the aircraft directed to the location of the fire event.
摘要翻译：本文描述了用于检测和恢复飞机内的火灾事件的技术。这些技术从与飞行器相关联的多个传感器接收传感器数据。确定传感器数据是否超过了指示飞机内的火灾事件的预定阈值。响应于确定传感器数据超过指示火灾事件的预定阈值，这些技术基于传感器数据确定火灾事件在飞行器内的位置，并且消除与火灾事件相关联的飞行器的部件。然后，这些技术启动飞机内的灭火机构，指向火灾事件的位置。

9. 发明授权

US07644053B2 System, method, and computer program product for combination of cognitive causal models with reasoning and text processing for knowledge driven decision support 有权
标题翻译：系统，方法和计算机程序产品将认知因果模型与推理和文本处理相结合，用于知识驱动的决策支持
公开(公告)号：US07644053B2
公开(公告)日：2010-01-05
申请号：US11070452
申请日：2005-03-02
申请人： Oscar Kipersztok , Philip Harrison
发明人： Oscar Kipersztok , Philip Harrison
IPC分类号： G06N5/02
CPC分类号： G06F17/2785 , G06F17/30707 , G06N5/04
摘要： A system, method, and computer program product for combining causal domain models with reasoning and text processing for knowledge driven decision support are provided. A knowledge driven decision support system is capable of creating a domain model, extracting and processing quantities of text according to the domain model, and generating understanding of the content and implications of information sensitive to analysts. An interface may be used to receive input to model complex relationships of a domain, establish implications of interest or request a query, and update the causal model. A processing element can capture and process text into text profiles by incorporating the domain model and process the text profiles in accordance with the domain model by applying formal reasoning to the information to derive trends, predict events, or arrive at other query results. An output element can provide a user the resulting information related to the domain model.
摘要翻译：提供了一种用于将因果域模型与推理和文本处理相结合的系统，方法和计算机程序产品，用于知识驱动的决策支持。知识驱动的决策支持系统能够创建域模型，根据域模型提取和处理文本的数量，并且产生对分析人员敏感信息的内容和影响的理解。接口可用于接收输入以建模域的复杂关系，建立感兴趣的意图或请求查询，以及更新因果模型。处理元件可以通过结合域模型并通过将正式推理应用于信息来导出趋势，预测事件或到达其他查询结果来根据域模型来处理文本到文本简档中并处理文本。输出元素可以向用户提供与域模型相关的结果信息。

10. 发明授权

US08620852B1 Systems, methods, and computer program products for predictive accuracy for strategic decision support 有权
标题翻译：系统，方法和计算机程序产品，用于战略决策支持的预测准确性
公开(公告)号：US08620852B1
公开(公告)日：2013-12-31
申请号：US12969711
申请日：2010-12-16
申请人： Oscar Kipersztok , Uri Nodelman
发明人： Oscar Kipersztok , Uri Nodelman
IPC分类号： G06N5/00
CPC分类号： G06N7/005 , G06N5/04
摘要： Provided are improved systems, methods, and computer programs to facilitate predictive accuracy for strategic decision support using Continuous Time Bayesian Networks. A simple semantic is provided for both probabilistic and temporal relationships that can be automatically translated into functioning Bayesian and Continuous Time Bayesian Network formalisms and applied by a user for reasoning analysis, such as to assess a hypothesis or respond to a query with a probabilistic and temporal prediction of a future event.
摘要翻译：提供改进的系统，方法和计算机程序，以促进使用连续时间贝叶斯网络的战略决策支持的预测准确性。为概率和时间关系提供了一个简单的语义，可以将其自动转换为功能贝叶斯和连续时间贝叶斯网络形式，并由用户应用于推理分析，例如评估假设或响应具有概率和时间的查询预测未来事件。

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