ASSESSMENT PERFORMANCE PREDICTION
    1.
    发明申请

    公开(公告)号:US20170206456A1

    公开(公告)日:2017-07-20

    申请号:US15000157

    申请日:2016-01-19

    CPC classification number: G06N7/005 G09B7/00 Y04S10/54

    Abstract: A system and a method for estimating readiness for passing an associated summative assessment includes, after receiving test results for at least one test, generating a score Cn for each concept tested on the test. Using the score, the system computes a probability of mastery p(Mn) of the at least one concept and associates the probability of mastery p(Mn) as a prior for updating the probability after receiving future test results. The system iteratively updates the probability of mastery p(Mn) of the at least one concept after each test using for the new test score and the prior.

    LATENT STUDENT CLUSTERING USING A HIERARCHICAL BLOCK CLUSTERING METHOD

    公开(公告)号:US20170116316A1

    公开(公告)日:2017-04-27

    申请号:US14922582

    申请日:2015-10-26

    CPC classification number: G06F17/30598

    Abstract: The present disclosure relates to a system for verifying homogeneity in clusters and comprises a processor and a non-transitory computer readable memory storing instructions that are executable by the processor. The system creates at least one adjacency matrix representing a relationship between rows and columns of a table. The system applies an algorithm to the table to identify a first set of clusters. For each identified cluster, the system compares a computed dispersion value to a predetermined threshold. The cluster is associated as being homogeneous if the threshold is not met and not homogeneous if the threshold is met. The system reapplies the algorithm to the set of non-homogenous clusters within the data set and repeats the thresholding processes until each cluster resulting from the data set is homogeneous. Upon reaching the desired homogeneity for each cluster, the system recombines the clusters sequentially while keeping the each identified cluster together.

    METHODS AND SYSTEMS FOR EVALUATING USER
    3.
    发明申请
    METHODS AND SYSTEMS FOR EVALUATING USER 审中-公开
    评估用户的方法和系统

    公开(公告)号:US20160225273A1

    公开(公告)日:2016-08-04

    申请号:US14608500

    申请日:2015-01-29

    CPC classification number: G09B7/02 G06K9/00308

    Abstract: According to embodiments illustrated herein, there is provided a method and a mobile device for evaluating a user on a question. The method includes monitoring one or more inputs of the user, pertaining to at least one step performed for solving the question, by one or more sensors in a mobile device. While the user attempts the question, the one or more sensors also monitor one or more facial expressions of the user, which are analyzed using one or more image processing techniques. Thereafter, one or more processors in the mobile device determine if the at least one step is in accordance with a predefined set of rules deterministic of one or more correct steps involved in solving the question. Further, the one or more processors evaluate the user on the question based on the determination and the analysis of the one or more facial expressions.

    Abstract translation: 根据本文所示的实施例,提供了一种用于在问题上评估用户的方法和移动设备。 该方法包括通过移动设备中的一个或多个传感器来监视属于用于解决问题的至少一个步骤的用户的一个或多个输入。 当用户尝试该问题时,一个或多个传感器还监视使用一个或多个图像处理技术分析的用户的一个或多个面部表情。 此后,移动设备中的一个或多个处理器确定至少一个步骤是否符合确定解决问题所涉及的一个或多个正确步骤的预定义的一组规则。 此外,一个或多个处理器基于对一个或多个面部表情的确定和分析来评估用户对该问题的评价。

    Estimating accuracy of a remaining useful life prediction model for a consumable using statistics based segmentation technique
    4.
    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。

    Predicting remaining useful life for a consumable using a weighted least square regression prediction technique
    5.
    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。

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