SEGMENTED TEMPORAL ANALYSIS MODEL USED IN FRAUD, WASTE, AND ABUSE DETECTION
    1.
    发明申请
    SEGMENTED TEMPORAL ANALYSIS MODEL USED IN FRAUD, WASTE, AND ABUSE DETECTION 审中-公开
    在FRAUD,WASTE,AND ABUSE检测中使用的分段时间分析模型

    公开(公告)号:US20160259896A1

    公开(公告)日:2016-09-08

    申请号:US14640570

    申请日:2015-03-06

    Inventor: Ming Yang

    CPC classification number: G06F19/328 G06Q30/0185

    Abstract: Presented are a method, system, and apparatus for determining whether an electronically submitted medical claim has a high likelihood of being fraud, waste, and/or abuse in medical billing. A computing device receives the electronic medical claim containing a subject patient identifier identifying a subject patient. A plurality of subject patient characteristic datapoints are accessed with the subject patient identifier and the datapoints segmented. Event codes regarding each patient are accessed to generate one or more event sequences. The event sequences are grouped according to a particular event followed by one or more related events and analyzed to calculate a probability the related events following the particular event. The event sequences are analyzed again and a probability calculated of the particular event following the related events. Other steps may be utilized, and the submitted medical claim dishonored if it has a high likelihood of being fraud, waste, and/or abuse.

    Abstract translation: 提出了一种用于确定电子提交的医疗索赔在医疗记帐中是否具有欺诈,浪费和/或滥用的可能性的方法,系统和装置。 计算设备接收包含识别被摄体患者的对象患者标识符的电子医疗声明。 利用对象患者标识符访问多个对象患者特征数据点,并且分割数据点。 访问关于每个患者的事件代码以生成一个或多个事件序列。 事件序列根据特定事件后跟一个或多个相关事件进行分组,并分析以计算特定事件之后的相关事件的概率。 再次分析事件序列,并根据相关事件计算特定事件的概率。 可能会采用其他步骤,如果提交的医疗声明很可能发生欺诈,浪费和/或滥用,则不提供医疗声明。

    METHODS, SYSTEMS AND PROCESSOR-READABLE MEDIA FOR OPTIMIZING INTELLIGENT TRANSPORTATION SYSTEM STRATEGIES UTILIZING SYSTEMATIC GENETIC ALGORITHMS
    2.
    发明申请
    METHODS, SYSTEMS AND PROCESSOR-READABLE MEDIA FOR OPTIMIZING INTELLIGENT TRANSPORTATION SYSTEM STRATEGIES UTILIZING SYSTEMATIC GENETIC ALGORITHMS 有权
    使用系统遗传算法优化智能交通系统策略的方法,系统和处理器可读介质

    公开(公告)号:US20140122032A1

    公开(公告)日:2014-05-01

    申请号:US13661856

    申请日:2012-10-26

    Abstract: Methods, systems and processor-readable media for modeling and optimizing multiple ITS (Intelligent Transportation System) strategies utilizing a systematic genetic algorithm. A traffic simulation model can be configured in conjunction with a genetic algorithm based optimization engine for optimizing the transportation models. An origin-destination matrix that minimizes discrepancies between a simulated and an observed link traffic count can be estimated by considering a road network and a traffic count with respect to a region. A driver behavior can then be determined utilizing the origin-destination matrix via calibration so that the simulation model can replicate a freeway traffic flow in the region. An optimal parameter with respect to the ITS strategies can be determined to optimize a set goal with respect to a given constraint. Such an approach meets a level of service (LOS) metric as well as a revenue target under the applied ITS strategies.

    Abstract translation: 方法,系统和处理器可读介质,用于建模和优化利用系统遗传算法的多个ITS(智能交通系统)策略。 交通仿真模型可以与基于遗传算法的优化引擎配合,优化运输模型。 可以通过考虑道路网络和相对于区域的交通数量来估计最小化模拟链路和观测链路业务量之间的差异的起始 - 目的地矩阵。 然后可以通过校准利用起始 - 目的地矩阵来确定驾驶员行为,使得模拟模型可以复制该区域中的高速公路交通流。 可以确定相对于ITS策略的最佳参数以优化关于给定约束的设定目标。 这种方法符合服务水平(LOS)指标以及应用ITS策略下的收入目标。

    Predicting remaining useful life for a consumable using a weighted least square regression prediction technique
    3.
    发明授权
    Predicting remaining useful life for a consumable using a weighted least square regression prediction technique 有权
    使用加权最小二乘回归预测技术预测耗材的剩余使用寿命

    公开(公告)号:US09134675B2

    公开(公告)日:2015-09-15

    申请号:US13929748

    申请日:2013-06-27

    CPC classification number: G03G15/556 G03G15/0856

    Abstract: An apparatus and method of predicting the end of life of a consumable. A basic weighted least squares algorithm has been extended and augmented to compensate for observed common consumable/printer behavior. The system uses consumable usage data (such as toner level) acquired from the device to predict the current and future consumable level and to predict the remaining life. The apparatus and method monitors the consumable's usage and updates the prediction so that when the predicted remaining life matches a preset threshold, it automatically triggers an order placement event to ship product to customer.

    Abstract translation: 预测消耗品寿命结束的装置和方法。 基本的加权最小二乘法算法已被扩展和扩充,以补偿观察到的常见消耗品/打印机行为。 该系统使用从设备获取的消耗性使用数据(例如墨粉量)来预测当前和未来的消耗品级别并预测剩余寿命。 该装置和方法监测消耗品的使用情况并更新预测,使得当预测的剩余寿命与预设阈值相匹配时,其自动触发订单放置事件以将产品运送给顾客。

    Iterative learning control for motion error reduction

    公开(公告)号:US09501022B2

    公开(公告)日:2016-11-22

    申请号:US14844569

    申请日:2015-09-03

    CPC classification number: G03G15/6561 G03G15/167 G03G2215/00405

    Abstract: An apparatus for reducing registration errors in a media handling device. The apparatus including an image-bearing member having sheets individually pass across the image-bearing member. Each sheet pass corresponds to one of a series of iterations between the image-bearing member and the sheets. The image-bearing member is operatively coupled to a controller for regulation motion of the image-bearing member. The controller receives input signals representing at least one measured disturbance. Each disturbance being defined by a pattern of image-bearing member movement away from and substantially returning to a reference state of motion. A repetition of the pattern being coincident with at least one of the iterations, wherein based on the measured disturbance, the reference state and an indication associated with when the pattern will repeat, a modified signal is generated for the actuator to adjust the image-bearing member motion in coordination with the indication.

    ITERATIVE LEARNING CONTROL FOR MOTION ERROR REDUCTION
    5.
    发明申请
    ITERATIVE LEARNING CONTROL FOR MOTION ERROR REDUCTION 审中-公开
    迭代学习控制运动错误减少

    公开(公告)号:US20150378298A1

    公开(公告)日:2015-12-31

    申请号:US14844569

    申请日:2015-09-03

    CPC classification number: G03G15/6561 G03G15/167 G03G2215/00405

    Abstract: An apparatus for reducing registration errors in a media handling device. The apparatus including an image-bearing member having sheets individually pass across the image-bearing member. Each sheet pass corresponds to one of a series of iterations between the image-bearing member and the sheets. The image-bearing member is operatively coupled to a controller for regulation motion of the image-bearing member. The controller receives input signals representing at least one measured disturbance. Each disturbance being defined by a pattern of image-bearing member movement away from and substantially returning to a reference state of motion. A repetition of the pattern being coincident with at least one of the iterations, wherein based on the measured disturbance, the reference state and an indication associated with when the pattern will repeat, a modified signal is generated for the actuator to adjust the image-bearing member motion in coordination with the indication.

    Abstract translation: 一种用于减少媒体处理装置中的注册错误的装置。 该装置包括具有单独穿过图像承载部件的片材的图像承载部件。 每个片材通过对应于图像承载部件和片材之间的一系列迭代中的一个。 图像承载构件可操作地联接到控制器以调节图像承载构件的运动。 控制器接收表示至少一个测量的干扰的输入信号。 每个扰动由图像承载部件移动的图案限定,远离基本返回参考运动状态。 重复的图案与至少一个迭代重合,其中基于所测量的干扰,参考状态和与图案重复时相关联的指示,生成修改的信号以使致动器调整图像承载 成员动议与指示协调。

    Methods, systems and processor-readable media for optimizing intelligent transportation system strategies utilizing systematic genetic algorithms
    6.
    发明授权
    Methods, systems and processor-readable media for optimizing intelligent transportation system strategies utilizing systematic genetic algorithms 有权
    使用系统遗传算法优化智能交通系统策略的方法,系统和处理器可读介质

    公开(公告)号:US09183742B2

    公开(公告)日:2015-11-10

    申请号:US13661856

    申请日:2012-10-26

    Abstract: Methods, systems and processor-readable media for modeling and optimizing multiple ITS (Intelligent Transportation System) strategies utilizing a systematic genetic algorithm. A traffic simulation model can be configured in conjunction with a genetic algorithm based optimization engine for optimizing the transportation models. An origin-destination matrix that minimizes discrepancies between a simulated and an observed link traffic count can be estimated by considering a road network and a traffic count with respect to a region. A driver behavior can then be determined utilizing the origin-destination matrix via calibration so that the simulation model can replicate a freeway traffic flow in the region. An optimal parameter with respect to the ITS strategies can be determined to optimize a set goal with respect to a given constraint. Such an approach meets a level of service (LOS) metric as well as a revenue target under the applied ITS strategies.

    Abstract translation: 方法,系统和处理器可读介质,用于建模和优化利用系统遗传算法的多个ITS(智能交通系统)策略。 交通仿真模型可以与基于遗传算法的优化引擎配合,优化运输模型。 可以通过考虑道路网络和相对于区域的交通数量来估计最小化模拟链路和观测链路业务量之间的差异的起始 - 目的地矩阵。 然后可以通过校准利用起始 - 目的地矩阵来确定驾驶员行为,使得模拟模型可以复制该区域中的高速公路交通流。 可以确定相对于ITS策略的最佳参数以优化关于给定约束的设定目标。 这种方法符合服务水平(LOS)指标以及应用ITS策略下的收入目标。

    METHOD AND APPARATUS FOR MODELING A POPULATION TO PREDICT INDIVIDUAL BEHAVIOR USING LOCATION DATA FROM SOCIAL NETWORK MESSAGES
    7.
    发明申请
    METHOD AND APPARATUS FOR MODELING A POPULATION TO PREDICT INDIVIDUAL BEHAVIOR USING LOCATION DATA FROM SOCIAL NETWORK MESSAGES 审中-公开
    使用来自社会网络信息的位置数据建模人群预测个人行为的方法和装置

    公开(公告)号:US20150309962A1

    公开(公告)日:2015-10-29

    申请号:US14262391

    申请日:2014-04-25

    Abstract: A method, non-transitory computer readable medium, and apparatus for predicting a location behavior of at least one individual are disclosed. For example, the method receives a plurality of social networking messages having spatial location data and user identification information, filters the plurality of social networking messages to remove one or more of the plurality of social networking messages that are not related to mobility of a user to create a filtered plurality of social networking messages, creates a population model by applying a kernel density estimation to the filtered plurality of social networking messages, creates an individual model for each different user identification by applying the kernel density estimation to a subset of the filtered plurality of social networking messages for the each different user identification and generates a probability density function map that predicts the location behavior of the at least one individual.

    Abstract translation: 公开了一种用于预测至少一个人的位置行为的方法,非暂时计算机可读介质和装置。 例如,该方法接收具有空间位置数据和用户识别信息的多个社交网络消息,对多个社交网络消息进行过滤以去除与用户移动性无关的多个社交网络消息中的一个或多个 创建过滤的多个社交网络消息,通过将核密度估计应用于经筛选的多个社交网络消息来创建群体模型,通过将核密度估计应用于经滤波的多个社会网络消息的子集来为每个不同的用户标识创建个体模型 的用于每个不同用户标识的社交网络消息,并且生成预测所述至少一个人的位置行为的概率密度函数图。

    Estimating accuracy of a remaining useful life prediction model for a consumable using statistics based segmentation technique
    8.
    发明授权
    Estimating accuracy of a remaining useful life prediction model for a consumable using statistics based segmentation technique 有权
    使用基于统计的分割技术估计耗材的剩余使用寿命预测模型的准确性

    公开(公告)号:US09046854B2

    公开(公告)日:2015-06-02

    申请号:US13929760

    申请日:2013-06-27

    CPC classification number: G03G15/556 G03G15/0856

    Abstract: An apparatus and method of predicting the end of life of a consumable. A basic weighted least squares algorithm has been extended and augmented to compensate for observed common consumable/printer behavior. The system uses consumable usage data (such as toner level) acquired from the device to predict the current and future consumable level and to predict the remaining life. The apparatus and method monitors the consumable's usage and updates the prediction so that when the predicted remaining life matches a preset threshold, it automatically triggers an order placement event to ship product to customer.

    Abstract translation: 预测消耗品寿命结束的装置和方法。 基本的加权最小二乘法算法已被扩展和扩充,以补偿观察到的常见消耗品/打印机行为。 该系统使用从设备获取的消耗性使用数据(例如墨粉量)来预测当前和未来的消耗品级别并预测剩余寿命。 该装置和方法监测消耗品的使用情况并更新预测,使得当预测的剩余寿命与预设阈值相匹配时,其自动触发订单放置事件以将产品运送给顾客。

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