ANTI-REFLECTION WITH INTERCONNECTED STRUCTURES

    公开(公告)号:US20230341761A1

    公开(公告)日:2023-10-26

    申请号:US18033721

    申请日:2021-10-26

    Abstract: An anti-reflective article includes a substrate including a surface and a bulk, and an arrangement of anti-reflective nanostructures along the surface of the substrate, each anti-reflective nanostructure of the arrangement of anti-reflective nanostructures being supported by the bulk of the substrate, each anti-reflective nanostructure of the arrangement of anti-reflective nanostructure tapering from the bulk of the substrate to define a respective peak. At least some of the anti-reflective nanostructures of the arrangement of anti-reflective nanostructures are linked with an adjacent anti-reflective nanostructure of the arrangement of anti-reflective nanostructures via a respective interconnection. The respective interconnections are in addition to the bulk of the substrate supporting the anti-reflective nanostructures. The respective interconnections are disposed at or above a midpoint between the peaks of the anti-reflective nanostructures and the bulk of the substrate.

    Bone fixation device
    2.
    发明授权

    公开(公告)号:US11147679B2

    公开(公告)日:2021-10-19

    申请号:US16268074

    申请日:2019-02-05

    Abstract: There is disclosed a bone fixation device that can include a cage having an optional mesh portion. The bone fixation device can be configured to couple a leg portion to a foot portion of a user's body. In at least one embodiment, the device includes at least one cage having a plurality of struts forming cells. There can be an optional mesh portion having a pre-set porosity that can be either constant or variable in density. In at least one embodiment there can be a cage portion which is substantially spherical shaped. Alternatively, the device can be substantially egg shaped. In at least one embodiment there can be a central post hole for receiving a post. In another embodiment at least one plate or shaft can connect to the cage.

    Automated Feed Source Changer for a Compact Test Range

    公开(公告)号:US20210036398A1

    公开(公告)日:2021-02-04

    申请号:US17065570

    申请日:2020-10-08

    Abstract: A mechanical means for deploying one of two or more feed sources within a test range is presented. The feed source selected for testing is properly positioned for use within the range by rotating one of two or more arms to an upright and locked position. An arm may further include a rotatable antenna wheel with two or more feed sources thereon whereby a selected feed source is rotated into position via the antenna wheel. The antenna wheel includes a center body, feed sources attached to the center body and aligned along a rotational plane, and a shroud disposed about the center body and feed sources. The antenna wheel may include a cooling system for managing heat generated by the feed sources and electronics therefore. In preferred embodiments, the feed source changer is mounted within the range so that a selected feed source communicates an emitted beam onto a reflector which is redirected as a reflected beam toward a device under test. Concealment panel(s) may be positioned adjacent to the feed source changer to minimize electromagnetic reflections therefrom.

    Configurable machine learning assemblies for autonomous operation in personal devices

    公开(公告)号:US20180025268A1

    公开(公告)日:2018-01-25

    申请号:US15396267

    申请日:2016-12-30

    CPC classification number: G06N3/063

    Abstract: Configurable machine learning assemblies for autonomous operation in personal devices are provided. Example systems implement machine learning based on neural networks that draw low power for use in smart phones, watches, drones, automobiles, and medical devices. The onboard machine learning assemblies can be powered by batteries, and once onboard a small personal device, can learn to perform object recognition and autonomous decision-making without access to outside resources. The assemblies can be small or even nano-scale, and may draw less than one watt of power on average. An assembly can be configured from pluggable, interchangeable modules that have compatible ports for interconnecting and integrating functionally dissimilar sensor systems. A core module contains a machine learning kernel, and multiple cores can be connected together to expand the neural network. An example machine learning assembly auto-detects sensors and peripherals, and extends a network or bus to all connected components.

Patent Agency Ranking