Dual capacitor mixed signal mutiplier

    公开(公告)号:US12118329B2

    公开(公告)日:2024-10-15

    申请号:US16744824

    申请日:2020-01-16

    摘要: Mixed signal multipliers and methods for operating the same include a sampling capacitor and an accumulate capacitor. A sampling switch is configured to store an analog value on the sampling capacitor when a digital bit value of a digital signal is one and to store a zero when the digital bit value of the digital signal is a zero. An accumulate switch is configured to store an average of the stored value of the sampling capacitor and a previous stored value of the accumulate capacitor. A processor is configured to alternately trigger the sampling capacitor and the sampling capacitor for each bit value in the digital signal.

    Self orchestrated containers for cloud computing

    公开(公告)号:US12106139B2

    公开(公告)日:2024-10-01

    申请号:US17357364

    申请日:2021-06-24

    IPC分类号: G06F9/46 G06F9/50

    CPC分类号: G06F9/465 G06F9/5016

    摘要: A plurality of containers can be configured for running applications associated to at least one node of a distributed computing environments. The containers of the plurality of containers includes integrated intelligence that provides an in memory state component that detects how container instances are running. A quorum synchronization component of the integrated intelligence can coordinate the activities of the containers. A first container can be initiated for running a first node application. The memory state component can determine if a topology exists in the plurality of containers that is running an existing application matching the first node application. The quorum synchronization component of the integrated intelligence can coordinate running of the first node application with the first container with the existing application.

    Swiper
    4.
    外观设计
    Swiper 有权

    公开(公告)号:USD1037598S1

    公开(公告)日:2024-07-30

    申请号:US29792748

    申请日:2022-04-21

    摘要: FIG. 1 is a top perspective view of the swiper showing my new design;
    FIG. 2 is a left view thereof;
    FIG. 3 is a right side view thereof;
    FIG. 4 is top view thereof;
    FIG. 5 is a bottom side view thereof;
    FIG. 6 is a front view thereof; and,
    FIG. 7 is a rear view thereof.
    The broken lines in the drawings show environmental structure that form no part of the claimed design.

    Endoscopic sheath holding tip and stabilization system

    公开(公告)号:US12042125B2

    公开(公告)日:2024-07-23

    申请号:US17154530

    申请日:2021-01-21

    IPC分类号: A61B1/00

    CPC分类号: A61B1/00149 A61B1/00135

    摘要: An endoscopic sheath holding tip and stabilization system is configured to be connected to a table mounted flexible or rigid arm or other surgical support device used over the patient during a surgical procedure. The sheath holder includes a hook structure configured to engage the underside of the scope sheath (e.g., inflow and outflow ports), while a plunger mechanism engages the top surface of the sheath. The downward pressure of the plunger mechanism working against the upward forces of the hook structure operate to stabilize the scope sheath without requiring user intervention. In this manner, the scope and other instruments can be introduced into the stabilized scope sheath without requiring user assistance to hold the scope once positioned in the stabilized sheath.

    Hanger tag
    8.
    外观设计

    公开(公告)号:USD1034812S1

    公开(公告)日:2024-07-09

    申请号:US29847937

    申请日:2022-07-28

    设计人: John Yoo

    摘要: FIG. 1 is a perspective view showing my new design for a hanger tag;
    FIG. 2 is a front view thereof;
    FIG. 3 is a rear view thereof;
    FIG. 4 is a left side view thereof;
    FIG. 5 is a right side view thereof;
    FIG. 6 is a top view thereof; and,
    FIG. 7 is a bottom view thereof.

    Learning with moment estimation using different time constants

    公开(公告)号:US12020129B2

    公开(公告)日:2024-06-25

    申请号:US18300007

    申请日:2023-04-13

    发明人: Tetsuro Morimura

    IPC分类号: G06N20/00 G06N7/01

    CPC分类号: G06N20/00 G06N7/01

    摘要: A technique for training a model includes obtaining a training example for a model having model parameters stored on one or more computer readable storage mediums operably coupled to the hardware processor. The training example includes an outcome and features to explain the outcome. A gradient is calculated with respect to the model parameters of the model using the training example. Two estimates of a moment of the gradient with two different time constants are computed for the same type of the moment using the gradient. Using a hardware processor, the model parameters of the model are updated using the two estimates of the moment with the two different time constants to reduce errors while calculating the at least two estimates of the moment of the gradient.