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    • 121. 发明授权
    • Automated derivation, design and execution of industry-specific information environment
    • 行业特定信息环境的自动推导,设计和执行
    • US08285576B2
    • 2012-10-09
    • US12609642
    • 2009-10-30
    • Robert R. FriedlanderThomas L. HanksRichard HennessyJames R. Kraemer
    • Robert R. FriedlanderThomas L. HanksRichard HennessyJames R. Kraemer
    • G06Q10/00
    • G06Q10/06G06Q10/04G06Q50/08
    • A computer-implemented method, system and program product for creating a physical information environment for a specific industry type are presented. A candidate industry type is selected to describe a customer's operations. A set of information environment components, which is modeled and simulated in software and is specific for the candidate industry type, is selected. Inherent constraints, from the candidate industry type and the set of information environment components, are identified. The set of information environment components are then recursively optimized in order to comply with the inherent constraints and to meet the specific information environment requirements. Based on optimized information environment components, construction of a information environment is simulated in order to define an architecture of a simulated information environment for the candidate industry type. A physical information environment that comports with the architecture of the optimally simulated information environment is then constructed and deployed.
    • 提出了一种用于创建特定行业类型的物理信息环境的计算机实现的方法,系统和程序产品。 选择候选行业类型来描述客户的业务。 选择了一套以软件建模和模拟并针对候选行业类型的信息环境组件。 确定了来自候选行业类型和一组信息环境组件的固有约束。 然后对该组信息环境组件进行递归优化,以符合固有的约束条件并满足特定的信息环境要求。 基于优化的信息环境组件,模拟信息环境的构建,以确定候选行业类型的模拟信息环境的架构。 然后构建和部署与最佳模拟信息环境的架构相匹配的物理信息环境。
    • 123. 发明授权
    • Generating receptivity scores for cohorts
    • 生成队列的接受度分数
    • US08219554B2
    • 2012-07-10
    • US12335731
    • 2008-12-16
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • G06F17/00
    • G06F17/30595G06F17/30864G06Q10/10
    • A computer implemented method, apparatus, and computer program product for generating receptivity cohorts. A receptivity cohort is identified. The receptivity cohort includes a set of members and conduct attributes for the set of members. Each conduct attribute in the set of conduct attributes describes at least one of a facial expression, vocalization, body language, and social interactions of a member in the set of members. Each conduct attribute is an indicator of receptiveness to a proposed future change in a set of circumstances associated with the set of members. Events metadata is received. The events metadata describes the set of circumstances associated with the set of members. The set of conduct attributes and the events metadata is analyzed to generate a receptivity score for the receptivity cohort. The receptivity score indicates a level of receptiveness of the set of members to the proposed future change in the set of circumstances. The set of members of the receptivity cohort are identified as receptive to the proposed future change based on the result of a comparison of the receptivity score to a threshold score.
    • 一种用于产生接受性队列的计算机实现的方法,装置和计算机程序产品。 识别出接受性队列。 接受队列包括一组成员,并为该组成员提供属性。 该组行为属性中的每个行为属性描述了该组成员中的成员的面部表情,发声,肢体语言和社交交互中的至少一个。 每个行为属性是与一组成员相关的一系列情况下对拟议未来变化的接受度的指标。 收到事件元数据。 事件元数据描述与该组成员相关联的一系列情境。 分析一组行为属性和事件元数据,以生成接受队列的接受评分。 受理分数表示该组成员对一组情况下拟议未来变化的接受程度。 基于接受度分数与阈值分数比较的结果,接受性队列的一组成员被识别为接受所提出的未来变化。
    • 124. 发明授权
    • Synthetic events for real time patient analysis
    • 用于实时患者分析的综合事件
    • US08145582B2
    • 2012-03-27
    • US12135972
    • 2008-06-09
    • Robert L. AngellRobert R. FriedlanderJames R. Kraemer
    • Robert L. AngellRobert R. FriedlanderJames R. Kraemer
    • G06F17/00G06N5/00
    • G16H50/70G06F19/00G16H10/20
    • Generating synthetic events based on a vast amount of data. First and second data are received. The first data is organized into a first cohort. The second data is organized into a second cohort. The first cohort and the second cohort are processed to generate a synthetic event. The synthetic event comprises third data representing a result of a mathematical computation defined by S(p1)==>F(p2), wherein S comprises input facts with probability p1, wherein the input facts comprise the first cohort and the second cohort, and wherein F comprises an inferred event with probability p2. The term “event” means a particular set of data that represents, encodes, or records at least one of a thing or happening. Each of the first data, the second data, the first cohort, the second cohort, the synthetic event, and subcomponents thereof all comprise different events. The synthetic event is stored.
    • 根据大量数据生成合成事件。 接收第一和第二数据。 第一个数据被组织成第一个队列。 第二个数据被组织成第二个队列。 处理第一队列和第二队列以产生合成事件。 合成事件包括表示由S(p1)==> F(p2)定义的数学计算结果的第三数据,其中S包括具有概率p1的输入事实,其中输入事实包括第一队列和第二队列,以及 其中F包括概率p2的推断事件。 术语“事件”是指表示,编码或记录事物或发生中的至少一个的特定数据集。 第一数据,第二数据,第一队列,第二队列,合成事件及其子部件中的每一个都包括不同的事件。 合成事件被存储。
    • 125. 发明授权
    • Risk assessment within an aircraft
    • 飞机内的风险评估
    • US07885908B2
    • 2011-02-08
    • US11971239
    • 2008-01-09
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • G06N5/00
    • G06N5/04
    • A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within an aircraft. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives first inference data comprising a first plurality of inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the first inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score.
    • 风险评估方法和制度。 该方法包括由推理机接收与位于飞行器内的第一队列相关联的第一传感器队列数据。 推理机接收与第一队列相关联的第一组技术推论。 推理引擎基于第一组技术推论和第一传感器队列数据生成第一风险群组推论。 所述推理机接收包括与所述第一队列相关联的第一多个推断的第一推断数据。 推理引擎产生包括与第一队列相关联的第二多个推断的第二推理数据。 第二推理数据基于第一推理数据和第一风险队列推论。 推理引擎为第一个队列生成第一个相关联的风险等级得分。 计算系统存储第二推理数据和第一相关风险等级得分。
    • 126. 发明授权
    • Risk assessment in a gate area of an airport
    • 机场门区的风险评估
    • US07873586B2
    • 2011-01-18
    • US11970824
    • 2008-01-08
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • G06N5/00
    • G06N5/04
    • A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within a gate area of an airport. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives first inference data comprising a first plurality of inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the first inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score.
    • 风险评估方法和制度。 该方法包括由推理机接收与位于机场的门区域内的第一队列相关联的第一传感器队列数据。 推理机接收与第一队列相关联的第一组技术推论。 推理引擎基于第一组技术推论和第一传感器队列数据生成第一风险群组推论。 所述推理机接收包括与所述第一队列相关联的第一多个推断的第一推断数据。 推理引擎产生包括与第一队列相关联的第二多个推断的第二推理数据。 第二推理数据基于第一推理数据和第一风险队列推论。 推理引擎为第一个队列生成第一个相关联的风险等级得分。 计算系统存储第二推理数据和第一相关风险等级得分。
    • 127. 发明授权
    • System and method to aid in the identification of individuals and groups with a probability of being distressed or disturbed
    • 系统和方法,有助于识别个人和群体,有可能受到伤害或不安
    • US07792776B2
    • 2010-09-07
    • US12130814
    • 2008-05-30
    • Robert R. FriedlanderRichard A. HennessyJames R. Kraemer
    • Robert R. FriedlanderRichard A. HennessyJames R. Kraemer
    • G06N5/00
    • G06F17/30536G06F2216/03G06Q10/10
    • A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. The first inference relates to identifying a potentially violent person or group. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.
    • 一种计算机实现的方法,装置和计算机可用程序代码,用于推断从数据库中不存在关于推断的查询的第一推断的概率。 第一个推论涉及识别潜在的暴力人物或群体。 数据库的每个数据符合数据库的维度。 多个数据的每个数据具有关联的元数据和相关联的密钥。 关联的元数据包括关于与相应数据相关联的队列的数据,关于与相应数据相关联的层级的数据,关于数据的相应源的数据,以及关于与每个相关联的数据的完整性,可靠性和重要性相关联的概率的数据。 该查询用作搜索的参考框架。 数据库返回基于查询和数据的第一推断的正确性的概率。
    • 128. 发明授权
    • System and method for deriving a hierarchical event based database optimized for analysis of chaotic events
    • 用于导出针对混沌事件分析优化的基于分层事件的数据库的系统和方法
    • US07792774B2
    • 2010-09-07
    • US11678965
    • 2007-02-26
    • Robert R. FriedlanderRichard A. HennessyJames R. Kraemer
    • Robert R. FriedlanderRichard A. HennessyJames R. Kraemer
    • G06N5/00G06F17/30
    • G06F17/30507G06F17/30528G06F2216/03
    • A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.
    • 一种计算机实现的方法,装置和计算机可用程序代码,用于推断从数据库中不存在关于推断的查询的第一推断的概率。 数据库的每个数据符合数据库的维度。 多个数据的每个数据具有关联的元数据和相关联的密钥。 关联的元数据包括关于与相应数据相关联的队列的数据,关于与相应数据相关联的层级的数据,关于数据的相应源的数据,以及关于与每个相关联的数据的完整性,可靠性和重要性相关联的概率的数据。 该查询用作搜索的参考框架。 数据库返回基于查询和数据的第一推断的正确性的概率。
    • 130. 发明申请
    • Generating Predilection Cohorts
    • 生成预选队列
    • US20100153353A1
    • 2010-06-17
    • US12333323
    • 2008-12-12
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • G06F17/30
    • G06N5/04G06Q10/04G06Q30/02
    • A computer implemented method, apparatus, and computer program product for generating risk scores for specific risk cohorts. Digital sensor data associated with a specific risk cohort is received from a set of multimodal sensors. The specific risk cohort includes a set of identified cohort members. The digital sensor data includes metadata describing attributes associated with at least one cohort member in the set of identified cohort members. Description data for each cohort member in the set of identified cohort members is retrieved to form a set of cohort description data. The description data for each cohort member comprises data describing a previous history of the cohort member or a current status of the cohort member. The cohort member is a person, animal, plant, thing, or location. A specific risk score is generated for the specific risk cohort based on selected risk factors, the attributes associated with the at least one identified member, and the set of cohort description data. A response action is initiated in response to a determination that the specific risk score exceeds a risk threshold.
    • 一种计算机实现的方法,装置和计算机程序产品,用于产生特定风险队列的风险评分。 从一组多模式传感器接收与特定风险队列相关联的数字传感器数据。 具体的风险队列包括一组确定的队列成员。 数字传感器数据包括描述与所识别的队列成员集合中的至少一个队列成员相关联的属性的元数据。 检索识别队列成员集中的每个队列成员的描述数据以形成一组队列描述数据。 每个队列成员的描述数据包括描述队列成员的先前历史或队列成员的当前状态的数据。 队列成员是一个人,动物,植物,事物或位置。 基于所选择的风险因素,与至少一个识别的成员相关联的属性以及队列描述数据集合,针对特定风险队列生成特定风险评分。 响应于确定特定风险评分超过风险阈值来启动响应动作。