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    • 1. 发明授权
    • Mining generalized spatial association rule
    • 挖掘广义空间关联规则
    • US08819065B2
    • 2014-08-26
    • US13179125
    • 2011-07-08
    • Wei Shan DongArun HampapurZhong Bo JiangHongfei LiXuan LiuWei Sun
    • Wei Shan DongArun HampapurZhong Bo JiangHongfei LiXuan LiuWei Sun
    • G06F7/00G06F17/30
    • G06F17/30241G06F17/30592
    • A system, method and computer program product for mining a rule including spatial information and non-spatial information by using a SAR (Spatial Association Rule) mining tool. The computing system is configured to construct an expanded spatial predicate transaction table for reference spatial objects and a generalized taxonomy for task-relevant spatial objects. The computing system is configured to run the SAR mining tool with the constructed expanded spatial predicate transaction and the generalized taxonomy. The computing system outputs, from the SAR mining tool, a set of generalized spatial association rules for the reference spatial objects. The generalized spatial association rule includes the spatial information and non-spatial information, associated with both the reference spatial objects and the task-relevant spatial objects.
    • 一种用于通过使用SAR(空间关联规则)挖掘工具挖掘包括空间信息和非空间信息的规则的系统,方法和计算机程序产品。 计算系统被配置为构建用于参考空间对象的扩展空间谓词事务表和用于任务相关空间对象的广义分类法。 计算系统配置为运行SAR挖掘工具,其中构建了扩展的空间谓词事务和广义分类法。 计算系统从SAR挖掘工具输出一组用于参考空间对象的广义空间关联规则。 广义空间关联规则包括与参考空间对象和任务相关的空间对象相关联的空间信息和非空间信息。
    • 2. 发明申请
    • MINING GENERALIZED SPATIAL ASSOCATION RULE
    • 采矿综合空间协会规则
    • US20130013640A1
    • 2013-01-10
    • US13179125
    • 2011-07-08
    • Wei Shan DongArun HampapurZhong Bo JiangHongfei LiXuan LiuWei Sun
    • Wei Shan DongArun HampapurZhong Bo JiangHongfei LiXuan LiuWei Sun
    • G06F17/30
    • G06F17/30241G06F17/30592
    • A system, method and computer program product for mining a rule including spatial information and non-spatial information by using a SAR (Spatial Association Rule) mining tool. The computing system is configured to construct an expanded spatial predicate transaction table for reference spatial objects and a generalized taxonomy for task-relevant spatial objects. The computing system is configured to run the SAR mining tool with the constructed expanded spatial predicate transaction and the generalized taxonomy. The computing system outputs, from the SAR mining tool, a set of generalized spatial association rules for the reference spatial objects. The generalized spatial association rule includes the spatial information and non-spatial information, associated with both the reference spatial objects and the task-relevant spatial objects.
    • 一种用于通过使用SAR(空间关联规则)挖掘工具挖掘包括空间信息和非空间信息的规则的系统,方法和计算机程序产品。 计算系统被配置为构建用于参考空间对象的扩展空间谓词事务表和用于任务相关空间对象的广义分类法。 计算系统配置为运行SAR挖掘工具,其中构建了扩展的空间谓词事务和广义分类法。 计算系统从SAR挖掘工具输出一组用于参考空间对象的广义空间关联规则。 广义空间关联规则包括与参考空间对象和任务相关的空间对象相关联的空间信息和非空间信息。
    • 8. 发明申请
    • ANOMALY DETECTION USING USAGE DATA FOR METERING SYSTEM
    • 使用用于计量系统的数据进行异常检测
    • US20130271289A1
    • 2013-10-17
    • US13446701
    • 2012-04-13
    • Arun HampapurZhong Bo JiangHongfei LiShilpa N. Mahatma
    • Arun HampapurZhong Bo JiangHongfei LiShilpa N. Mahatma
    • G08C15/06
    • G01D4/004Y02B90/242Y04S20/322Y04S20/36
    • A method, system and computer program product for detecting anomalies in a metering system. In one embodiment, data representing usage of a defined commodity are collected from meters, and the data collected over a given time period are analyzed to identify any of the meters showing at least one defined type of anomalous usage pattern. For each of the meters showing an anomalous usage patterns, an anomaly score is determined for the usage pattern shown, and the anomaly scores are used to rank the meters. In one embodiment, the collected data are analyzed to identify any of the meters showing one or more of a group of types of anomalous patterns including meter-no-reading, meter-by-pass, and meter-silting patterns. Embodiments of the invention utilize time series techniques and data analysis on meter reading data. Further, embodiments of the invention require no additional installation of equipment or sensors.
    • 一种用于检测计量系统异常的方法,系统和计算机程序产品。 在一个实施例中,代表使用定义的商品的数据从米收集,并且分析在给定时间段内收集的数据,以识别显示至少一种定义类型的异常使用模式的任何仪表。 对于显示异常使用模式的每个仪表,为显示的使用模式确定异常分数,并且使用异常分数来对米进行排序。 在一个实施例中,分析所收集的数据以识别显示一组类型的异常模式中的一个或多个的任何仪表,包括仪表不读,逐个通过和测量淤塞模式。 本发明的实施例利用时间序列技术和抄表数据的数据分析。 此外,本发明的实施例不需要额外安装设备或传感器。
    • 10. 发明授权
    • Tuning parameter of kalman filter in a wheel inspection
    • 车轮检测中卡尔曼滤波器的调谐参数
    • US08688314B2
    • 2014-04-01
    • US13355633
    • 2012-01-23
    • Ning DuanKe HuZhong Bo JiangWen Ting MoWei SunXin Zhang
    • Ning DuanKe HuZhong Bo JiangWen Ting MoWei SunXin Zhang
    • G01M17/00G06F7/00
    • G01M17/013
    • A method for tuning a parameter of a Kalman filter in a wheel inspection for a vehicle. The method includes: associating wheel inspection data of the vehicle with locations of wheels in the vehicle; evaluating a wheel stable score of the vehicle based on the wheel inspection data and the association, wherein the wheel stable score indicates reliability of the wheel inspection; and tuning measurement error covariance of the Kalman filter according to the evaluated wheel stable score. By using the method, the parameter of the Kalman filter can be dynamically tuned to enable the Kalman filter to filter more accurately to ensure the correct result of the wheel inspection. In addition, an apparatus for tuning a parameter of a Kalman filter and a wheel inspection system for a vehicle are disclosed.
    • 一种用于调整车辆车轮检查中的卡尔曼滤波器的参数的方法。 该方法包括:将车辆的轮检查数据与车辆中的车轮的位置相关联; 基于轮检查数据和关联来评估车辆的车轮稳定分数,其中车轮稳定分数表示车轮检查的可靠性; 并根据评估轮稳定分数调整卡尔曼滤波器的测量误差协方差。 通过使用该方法,可以动态调整卡尔曼滤波器的参数,以使卡尔曼滤波器更准确地过滤,以确保车轮检查的正确结果。 此外,公开了一种用于调整卡尔曼滤波器和车辆车轮检查系统的参数的装置。