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1.发明申请MEASURING A COHORT'S VELOCITY, ACCELERATION AND DIRECTION USING DIGITAL VIDEO 有权使用数字视频测量队员的速度，加速度和方向公开(公告)号：US20090208054A1
公开(公告)日：2009-08-20
申请号：US12034380
申请日：2008-02-20
IPC分类号： G06K9/00
CPC分类号： G06K9/00771 , G06Q90/00 , G06T7/285 , G06T2207/10021 , G06T2207/30232 , G06T2207/30236
摘要： A computer implemented method, apparatus, and computer program product for identifying positional data for an object moving in an area of interest. Positional data for each camera in a set of cameras associated with the object is retrieved. The positional data identifies a location of each camera in the set of cameras within the area of interest. The object is within an image capture range of each camera in the set of cameras. Metadata describing video data captured by the set of cameras is analyzed using triangulation analytics and the positional data for the set of cameras to identify a location of the object. The metadata is generated in real time as the video data is captured by the set of cameras. The positional data for the object is identified based on locations of the object over a given time interval. The positional data describes motion of the object.
摘要翻译： 一种用于识别在感兴趣区域中移动的对象的位置数据的计算机实现的方法，装置和计算机程序产品。 检索与对象相关联的一组摄像机中的每个摄像机的位置数据。 位置数据识别感兴趣区域内的该组相机中的每个摄像机的位置。 该对象在摄像机组中每个摄像机的图像捕获范围内。 使用三角测量分析和该组相机的位置数据来分析由该组相机拍摄的视频数据的元数据，以识别对象的位置。 随着摄像机组捕获视频数据，实时生成元数据。 基于对象在给定时间间隔内的位置来识别对象的位置数据。 位置数据描述物体的运动。
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2.发明授权Measuring a cohort'S velocity, acceleration and direction using digital video 有权使用数字视频测量队列的速度，加速度和方向公开(公告)号：US08107677B2
公开(公告)日：2012-01-31
申请号：US12034380
申请日：2008-02-20
IPC分类号： G06K9/00
CPC分类号： G06K9/00771 , G06Q90/00 , G06T7/285 , G06T2207/10021 , G06T2207/30232 , G06T2207/30236
摘要： A computer implemented method, apparatus, and computer program product for identifying positional data for an object moving in an area of interest. Positional data for each camera in a set of cameras associated with the object is retrieved. The positional data identifies a location of each camera in the set of cameras within the area of interest. The object is within an image capture range of each camera in the set of cameras. Metadata describing video data captured by the set of cameras is analyzed using triangulation analytics and the positional data for the set of cameras to identify a location of the object. The metadata is generated in real time as the video data is captured by the set of cameras. The positional data for the object is identified based on locations of the object over a given time interval. The positional data describes motion of the object.
摘要翻译： 一种用于识别在感兴趣区域中移动的对象的位置数据的计算机实现的方法，装置和计算机程序产品。 检索与对象相关联的一组摄像机中的每个摄像机的位置数据。 位置数据识别感兴趣区域内的该组相机中的每个摄像机的位置。 该对象在摄像机组中每个摄像机的图像捕获范围内。 使用三角测量分析和该组相机的位置数据来分析由该组相机拍摄的视频数据的元数据，以识别对象的位置。 随着摄像机组捕获视频数据，实时生成元数据。 基于对象在给定时间间隔内的位置来识别对象的位置数据。 位置数据描述物体的运动。
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公开(公告)号：US08311683B2
公开(公告)日：2012-11-13
申请号：US12432611
申请日：2009-04-29
摘要： Illustrative embodiments provide a computer implemented method, a data processing system, and a computer program product for adjusting cooling settings. The computer implemented method comprises analyzing a set of instructions of an application to determine a number of degrees by which a set of instructions will raise a temperature of at least one processor core. The computer implemented method further calculates a cooling setting for at least one cooling system for the at least one processor core. The computer implemented method adjusts the at least one cooling system based on the cooling setting. The step of analyzing the set of instructions is performed before the set of instructions is executed on the at least one processor core. The step of adjusting the at least one cooling system is performed before the set of instructions is executed on the at least one processor core.
摘要翻译： 示例性实施例提供了一种计算机实现的方法，数据处理系统和用于调节冷却设置的计算机程序产品。 计算机实现的方法包括分析应用程序的一组指令以确定一组指令将提高至少一个处理器核心的温度的程度。 计算机实现的方法进一步计算用于至少一个处理器核心的至少一个冷却系统的冷却设置。 计算机实现的方法基于冷却设置来调节至少一个冷却系统。 在所述指令集在所述至少一个处理器核上执行之前执行分析所述指令集的步骤。 在至少一个处理器核心执行指令集之前执行调整至少一个冷却系统的步骤。
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公开(公告)号：US20100280680A1
公开(公告)日：2010-11-04
申请号：US12432611
申请日：2009-04-29
摘要： Illustrative embodiments provide a computer implemented method, a data processing system, and a computer program product for adjusting cooling settings. The computer implemented method comprises analyzing a set of instructions of an application to determine a number of degrees by which a set of instructions will raise a temperature of at least one processor core. The computer implemented method further calculates a cooling setting for at least one cooling system for the at least one processor core. The computer implemented method adjusts the at least one cooling system based on the cooling setting. The step of analyzing the set of instructions is performed before the set of instructions is executed on the at least one processor core. The step of adjusting the at least one cooling system is performed before the set of instructions is executed on the at least one processor core.
摘要翻译： 示例性实施例提供了一种计算机实现的方法，数据处理系统和用于调节冷却设置的计算机程序产品。 计算机实现的方法包括分析应用程序的一组指令以确定一组指令将提高至少一个处理器核心的温度的程度。 计算机实现的方法进一步计算用于至少一个处理器核心的至少一个冷却系统的冷却设置。 计算机实现的方法基于冷却设置来调节至少一个冷却系统。 在所述指令集在所述至少一个处理器核上执行之前执行分析所述指令集的步骤。 在至少一个处理器核心执行指令集之前执行调整至少一个冷却系统的步骤。
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公开(公告)号：US08335698B2
公开(公告)日：2012-12-18
申请号：US12054084
申请日：2008-03-24
CPC分类号： G06Q10/10
摘要： A computer implemented method, apparatus, and computer program product is provided for selecting subjects for treatment study cohorts. A set of selected dimensions for optimizing selection of subjects for a treatment cohort group and a control cohort group associated with a treatment study is identified. Attribute data associated with subjects in the pool of available subjects is clustered at the atomic level to form clustered cohort data. A set of optimized subjects from a pool of available subjects is selected using the clustered cohort data and the set of selected dimensions. Subjects in the set of optimized subjects are optimized across the set of selected dimensions. Each subject in the set of optimized subjects is assigned to the treatment cohort group or the control cohort group.
摘要翻译： 提供计算机实现的方法，装置和计算机程序产品，用于选择治疗研究队列的对象。 确定用于优化治疗队列组和与治疗研究相关联的对照队列组的受试者选择的一组选定维度。 与可用对象池中的主题相关联的属性数据在原子级别聚类以形成群集队列数据。 使用群集队列数据和所选维度的集合来选择来自可用对象池的一组优化对象。 优化对象组中的受试者在所选尺寸集合中进行了优化。 优化对象组中的每个受试者被分配到治疗队列组或对照队列组。
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公开(公告)号：US07953686B2
公开(公告)日：2011-05-31
申请号：US12049725
申请日：2008-03-17
摘要： A computer implemented method, apparatus, and computer-usable program product for validating expected cohort behavior. In one embodiment, sensory data gathered by a set of multimodal sensor devices is processed to form a set of actual cohort behavior data. The sensory data comprises information associated with a cohort group. Each member of the cohort group shares at least one common attribute. The set of actual cohort behavior data is compared to a set of predicted cohort behavior models. The set of actual cohort behavior data comprises information describing actual behavior by members of the cohort group. The set of predicted cohort behavior models comprises information describing an expected behavior of members of the cohort group. A comparison result is generated. The comparison result indicates an accuracy of the set of predicted cohort behavior models.
摘要翻译： 用于验证预期队列行为的计算机实现的方法，装置和计算机可用的程序产品。 在一个实施例中，处理由一组多模式传感器装置收集的感觉数据以形成一组实际队列行为数据。 感觉数据包括与队列组相关联的信息。 队列组的每个成员至少共享一个共同属性。 将一组实际队列行为数据与一组预测队列行为模型进行比较。 该组实际队列行为数据包括描述队列组成员的实际行为的信息。 一组预测的队列行为模型包括描述队列组成员的预期行为的信息。 产生比较结果。 比较结果表明预测队列行为模型集合的准确性。
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公开(公告)号：US07870085B2
公开(公告)日：2011-01-11
申请号：US11971262
申请日：2008-01-09
IPC分类号： G06N5/00
摘要： 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 first 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.
摘要翻译： 风险评估方法和制度。 该方法包括由推理机接收与位于第一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。
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8.发明申请Identifying and Generating Biometric Cohorts Based on Biometric Sensor Input 有权基于生物特征传感器输入识别和生成生物特征队列公开(公告)号：US20100153470A1
公开(公告)日：2010-06-17
申请号：US12333316
申请日：2008-12-12
IPC分类号： G06F17/00
CPC分类号： G06K9/6218 , G06F21/32 , G06K9/00885 , G06N5/04 , G06N99/005
摘要： The illustrative embodiments described herein provide a computer implemented method, apparatus, and computer program product for generating biometric cohorts. In one embodiment, biometric data is received which identifies a set of biometric patterns. The biometric data is received from a set of biometric sensors. The biometric data is processed to form digital biometric data that identifies attributes of the biometric data. In addition, the digital biometric data includes metadata describing the attributes of the biometric data. Thereafter, a set of biometric cohorts is generated using the digital biometric data. Each member of the set of biometric cohorts shares at least one biometric attribute in common.
摘要翻译： 本文描述的说明性实施例提供了一种计算机实现的方法，装置和用于生成生物特征组的计算机程序产品。 在一个实施例中，接收标识一组生物特征图案的生物特征数据。 从一组生物特征传感器接收生物特征数据。 处理生物特征数据以形成识别生物特征数据的属性的数字生物特征数据。 此外，数字生物特征数据包括描述生物特征数据的属性的元数据。 此后，使用数字生物特征数据生成一组生物特征队列。 该组生物统计组中的每个成员共享至少一个生物特征属性。
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公开(公告)号：US20100153180A1
公开(公告)日：2010-06-17
申请号：US12336488
申请日：2008-12-16
CPC分类号： G06N5/02 , G06Q10/063 , G06Q10/06375 , G06Q30/02 , G16H10/20
摘要： A computer implemented method, apparatus, and computer program product for generating receptivity cohorts. Digital sensor data associated with a set of individuals is retrieved in response to receiving an identification of a proposed future change in a current set of circumstances associated with the set of individuals. The digital sensor data comprises events metadata describing a set of events associated with the set of individuals. The set of events comprises at least one of body language, facial expressions, vocalizations, and social interactions of the set of individuals. An analysis server selects a set of receptivity analysis models based on the proposed future event and the set of events. Each analysis model in the set of receptivity analysis models analyzes the set of events to identify conduct attributes indicating receptiveness of each individual in the set of individuals to the proposed future change. The events metadata describing the set of events is analyzed in the selected set of receptivity analysis models to form a receptivity cohort. The receptivity cohort comprises a set of conduct attributes indicating receptiveness of each individual in the set of individuals to the proposed future change.
摘要翻译： 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。 与一组个人相关联的数字传感器数据被检索以响应于在与该组个体相关联的当前情况集合中接收到建议的未来变化的标识。 数字传感器数据包括描述与该组个体相关联的一组事件的事件元数据。 这组事件至少包括身体语言，面部表情，发声和个人群体的社交互动。 分析服务器根据所提出的未来事件和一组事件来选择一组接受度分析模型。 一组接受度分析模型中的每个分析模型分析了一组事件，以确定指示该组个体中每个个体对拟议未来变化的接受性的行为属性。 在所选择的一组接受度分析模型中分析描述事件集的事件元数据以形成接受性队列。 接受队列包括一组行为属性，指示该组个体中每个人对所提出的未来变化的接受性。
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公开(公告)号：US20100153147A1
公开(公告)日：2010-06-17
申请号：US12333321
申请日：2008-12-12
IPC分类号： G06Q10/00
CPC分类号： G06Q10/04 , G06Q10/0635
摘要： 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.
摘要翻译： 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。
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