Device for pulling wire through conduit of electrical breaker box

    公开(公告)号:US12009645B1

    公开(公告)日:2024-06-11

    申请号:US17865620

    申请日:2022-07-15

    Applicant: Travis Green

    Inventor: Travis Green

    CPC classification number: H02G1/081

    Abstract: Method and apparatus for pulling electrical wire through a conduit of an electrical breaker box such as might be installed at a residential home or commercial building wherein the feed wire from a main electrical feed source would be delivered and tied into the applicable home or commercial building. The device has a generally upright standing shaft having a pivot point forming upper and lower shaft portions having a pair of pulleys mounted thereon so that the electrical wire can travel over the pulleys as it is pulled by the hands of the user. The lower shaft portion has a lower brace member thereon which is placed against an upright standing conduit pipe along with another intermediate member having a thin circular curved portion forming a spud thereon designed to fit inside the internal bore of the opening into the upright standing conduit pipe so that the device is removably secured to the upright standing conduit pipe of the electrical breaker box. The electrical wire is pulled over the pair of pulleys wherein, a first pulley is disposed on an upper end of a movable upper arm and a second pulley is disposed on a bracket spaced away from the upright standing member of the device so as to align the wire with the bore of the upright standing conduit pipe.

    Updateable Predictive Analytical Modeling
    2.
    发明申请
    Updateable Predictive Analytical Modeling 有权
    可更新预测分析建模

    公开(公告)号:US20120191630A1

    公开(公告)日:2012-07-26

    申请号:US13014223

    申请日:2011-01-26

    CPC classification number: G06N99/005

    Abstract: Methods, systems, and apparatus, including computer programs encoded on one or more computer storage devices, for training and retraining predictive models. A series of training data sets for predictive modeling can be received, e.g., over a network from a client computing system. The training data included in the training data sets is different from initial training data that was used with multiple training functions to train multiple trained predictive models stored in a predictive model repository. The series of training data sets are used with multiple trained updateable predictive models obtained from the predictive model repository and multiple training functions to generate multiple retrained predictive models. An effectiveness score is generated for each of the retrained predictive models. A first trained predictive model is selected from among the trained predictive models included in the predictive model repository and the retrained predictive models based on their respective effectiveness scores.

    Abstract translation: 方法,系统和装置,包括在一个或多个计算机存储装置上编码的用于训练和重新训练预测模型的计算机程序。 可以例如通过来自客户端计算系统的网络来接收用于预测建模的一系列训练数据集。 包含在训练数据集中的训练数据不同于与多个训练功能一起使用以训练存储在预测模型存储库中的多个训练预测模型的初始训练数据。 训练数据集系列与从预测模型库获得的多种训练可更新预测模型和多种训练功能一起使用,以生成多个再训练预测模型。 为每个再培训的预测模型生成有效性分数。 从预测模型库中包含的经过训练的预测模型中选择第一训练预测模型,并且基于它们各自的有效性分数来选择再训练预测模型。

    Ground contact device
    4.
    发明授权
    Ground contact device 有权
    接地装置

    公开(公告)号:US09498353B2

    公开(公告)日:2016-11-22

    申请号:US14150645

    申请日:2014-01-08

    Applicant: Travis Green

    Inventor: Travis Green

    CPC classification number: A61F2/66 Y10T29/49204

    Abstract: A ground contact device having a module with at least a portion of the module's outer surface being curved. The ground contact device also having a planar surface, oriented in a plane parallel to a surface suitable for walking, on the module's inside surface. In addition, the planar surface contains a plurality of prosthetic mount holes.

    Abstract translation: 具有模块的地面接触装置具有模块的外表面的至少一部分是弯曲的。 接地装置还具有在模块的内表面上平行于适合于行走的表面的平面定向的平面。 此外,平面表面包含多个假体安装孔。

    GROOVED GRIP
    5.
    发明申请
    GROOVED GRIP 审中-公开

    公开(公告)号:US20160096263A1

    公开(公告)日:2016-04-07

    申请号:US14968106

    申请日:2015-12-14

    Applicant: Travis GREEN

    Inventor: Travis GREEN

    Abstract: Disclosed is a grooved grip having a body configured to be grasped by a hand comprising a channel configured to relieve pressure on a median nerve on a palmar surface on a hand.

    Abstract translation: 公开了一种带槽的手柄,其具有构造成由手抓住的主体,该主体包括通道,该通道构造成在手上的手掌表面上的中位神经上减压。

    Updateable predictive analytical modeling
    7.
    发明授权
    Updateable predictive analytical modeling 有权
    可更新的预测分析建模

    公开(公告)号:US08533222B2

    公开(公告)日:2013-09-10

    申请号:US13014223

    申请日:2011-01-26

    CPC classification number: G06N99/005

    Abstract: Methods, systems, and apparatus, including computer programs encoded on one or more computer storage devices, for training and retraining predictive models. A series of training data sets for predictive modeling can be received, e.g., over a network from a client computing system. The training data included in the training data sets is different from initial training data that was used with multiple training functions to train multiple trained predictive models stored in a predictive model repository. The series of training data sets are used with multiple trained updateable predictive models obtained from the predictive model repository and multiple training functions to generate multiple retrained predictive models. An effectiveness score is generated for each of the retrained predictive models. A first trained predictive model is selected from among the trained predictive models included in the predictive model repository and the retrained predictive models based on their respective effectiveness scores.

    Abstract translation: 方法,系统和装置,包括在一个或多个计算机存储装置上编码的用于训练和重新训练预测模型的计算机程序。 可以例如通过来自客户端计算系统的网络来接收用于预测建模的一系列训练数据集。 包含在训练数据集中的训练数据不同于与多个训练功能一起使用以训练存储在预测模型存储库中的多个训练预测模型的初始训练数据。 训练数据集系列与从预测模型库获得的多种训练可更新预测模型和多种训练功能一起使用,以生成多个再训练预测模型。 为每个再培训的预测模型生成有效性分数。 从预测模型库中包含的经过训练的预测模型中选择第一训练预测模型,并且基于它们各自的有效性分数来选择再训练预测模型。

    GROUND CONTACT DEVICE
    9.
    发明申请
    GROUND CONTACT DEVICE 审中-公开
    接地设备

    公开(公告)号:US20140195009A1

    公开(公告)日:2014-07-10

    申请号:US14150645

    申请日:2014-01-08

    Applicant: Travis GREEN

    Inventor: Travis GREEN

    CPC classification number: A61F2/66 Y10T29/49204

    Abstract: A ground contact device having a module with at least a portion of the module's outer surface being curved. The ground contact device also having a planar surface, oriented in a plane parallel to a surface suitable for walking, on the module's inside surface. In addition, the planar surface contains a plurality of prosthetic mount holes.

    Abstract translation: 具有模块的地面接触装置具有模块的外表面的至少一部分是弯曲的。 接地装置还具有在模块的内表面上平行于适合于行走的表面的平面定向的平面。 此外,平面表面包含多个假体安装孔。

    Dynamic predictive modeling platform
    10.
    发明授权
    Dynamic predictive modeling platform 有权
    动态预测建模平台

    公开(公告)号:US08595154B2

    公开(公告)日:2013-11-26

    申请号:US13014252

    申请日:2011-01-26

    CPC classification number: G06N99/005

    Abstract: Methods, systems, and apparatus, including computer programs encoded on one or more computer storage devices, for training and retraining predictive models. A series of training data sets are received and added to a training data queue. In response to a first condition being satisfied, multiple retrained predictive models are generated using the training data queue, multiple updateable trained predictive models obtained from a repository of trained predictive models, and multiple training functions. In response to a second condition being satisfied, multiple new trained predictive models are generated using the training data queue, at least some training data stored in a training data repository and training functions. The new trained predictive models include static trained predictive models and updateable trained predictive models. The repository of trained predictive models is updated with at least some of the retrained predictive models and new trained predictive models.

    Abstract translation: 方法,系统和装置,包括在一个或多个计算机存储装置上编码的用于训练和重新训练预测模型的计算机程序。 一系列训练数据集被接收并添加到训练数据队列中。 响应于满足第一条件,使用训练数据队列,从已训练的预测模型的存储库获得的多个可更新训练的预测模型和多个训练功能来生成多个再训练的预测模型。 响应于满足第二条件,使用训练数据队列,存储在训练数据存储库中的至少一些训练数据和训练功能来生成多个新训练的预测模型。 新训练的预测模型包括静态训练预测模型和可更新训练预测模型。 训练有素的预测模型的存储库使用至少一些再培训的预测模型和新的训练预测模型进行更新。

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