公开(公告)号：US20160379119A1

公开(公告)日：2016-12-29

申请号：US14753341

申请日：2015-06-29

申请人： Preetdeep KUMAR ,  Rashmi GUPTA ,  Shweta TIWARI ,  Steven L. GREENSPAN ,  Serguei MANKOVSKII

发明人： Preetdeep KUMAR ,  Rashmi GUPTA ,  Shweta TIWARI ,  Steven L. GREENSPAN ,  Serguei MANKOVSKII

IPC分类号： G06N5/02

摘要： Systems and methods may include receiving, by an expert system, performance data for a monitored system. The systems and methods may include generating a prediction for the monitored system in response to determining that the performance data satisfies a condition. The prediction may identify an anomaly that is predicted to occur. The systems and methods may include receiving, by a filter system, the prediction, information identifying the condition, and user information. The user information may include user preference information and user feedback information. The systems and methods may include determining a filter criteria based on the user information. The filter criteria may be based on the preferences for predictions to be provided to the user and on the historical user feedback regarding the historical predictions. The systems and methods may include providing the prediction to the user in response to determining that the particular prediction satisfies the filter criteria.

摘要翻译： 系统和方法可以包括由专家系统接收被监视系统的性能数据。 系统和方法可以包括响应于确定性能数据满足条件而产生对被监视系统的预测。 预测可以识别预测发生的异常。 系统和方法可以包括由过滤器系统接收预测，识别条件的信息和用户信息。 用户信息可以包括用户偏好信息和用户反馈信息。 系统和方法可以包括基于用户信息确定过滤器标准。 过滤器标准可以基于要向用户提供的预测的偏好以及关于历史预测的历史用户反馈。 响应于确定特定预测满足过滤标准，系统和方法可以包括向用户提供预测。

公开(公告)号：US20160292885A1

公开(公告)日：2016-10-06

申请号：US14673476

申请日：2015-03-30

申请人： Steven L. GREENSPAN ,  Paul C. LIPTON ,  John J. HARRISON, Jr. ,  Prashant PARIKH ,  Serguei MANKOVSKII ,  Maria C. VELEZ-ROJAS

发明人： Steven L. GREENSPAN ,  Paul C. LIPTON ,  John J. HARRISON, Jr. ,  Prashant PARIKH ,  Serguei MANKOVSKII ,  Maria C. VELEZ-ROJAS

IPC分类号： G06T7/20 ,  G06T7/60

CPC分类号： G06T7/292 ,  G06K9/00342 ,  G06Q10/08 ,  G06T7/68

摘要： Systems and methods may include receiving first and second motion data about first and second objects, respectively. The systems and methods may include applying an asymmetric correlation rule (ACR) to the first and second motion data. The ACR may define a baseline state of motion for the first object and a correlation relationship between the first and second objects. The systems and methods may include determining whether the first object is in the baseline state and, in response to determining that the first object is not in the baseline state, determining whether a first motion vector of the first object is sufficiently correlated with a second motion vector of the second object. The systems and methods may include, in response to determining both that the first object is not in the baseline state and that the first and second motion vectors are not sufficiently correlated, generating an anomalous behavior notification.

摘要翻译： 系统和方法可以包括分别接收关于第一和第二对象的第一和第二运动数据。 系统和方法可以包括将不对称相关规则（ACR）应用于第一和第二运动数据。 ACR可以定义第一对象的基线运动状态以及第一和第二对象之间的相关关系。 系统和方法可以包括确定第一对象是否处于基准状态，并且响应于确定第一对象不处于基准状态，确定第一对象的第一运动矢量是否与第二运动充分相关 第二个对象的向量。 响应于确定第一对象不处于基准状态并且第一和第二运动矢量不能充分相关，系统和方法可以包括产生异常行为通知。