Coffee sieve
    2.
    外观设计

    公开(公告)号:USD1047621S1

    公开(公告)日:2024-10-22

    申请号:US29855683

    申请日:2022-10-06

    申请人: Hyun-Soo Kim

    设计人: Hyun-Soo Kim

    摘要: FIG. 1 is a perspective view of a coffee sieve of my new design;
    FIG. 2 is a front elevation view thereof;
    FIG. 3 is a rear elevation view thereof;
    FIG. 4 is a left side elevation view thereof;
    FIG. 5 is a right-side elevation view thereof;
    FIG. 6 is a top plan view thereof;
    FIG. 7 is a bottom view thereof; and,
    FIG. 8 is an exploded view thereof.

    Administration of electronic mail unsubscribe links

    公开(公告)号:US12126633B2

    公开(公告)日:2024-10-22

    申请号:US17708134

    申请日:2022-03-30

    申请人: Sophos Limited

    摘要: A method for processing electronic messages including unsubscribe links comprises receiving a plurality of electronic messages directed from a sender to an intended recipient, wherein at least one electronic message from the plurality of electronic messages includes an unsubscribe link that is associated with an instruction that instructs the sender to discontinue sending electronic messages to the intended recipient, parsing the electronic messages to identify unsubscribe links from the plurality of electronic messages, for each identified unsubscribe link, creating a record associated with the identified unsubscribe link in a database, generating an aggregate of the identified unsubscribe links based on the records in the database, and transmitting the aggregate of the identified unsubscribe links to the intended recipient.

    Rotor blade with noise reduction means

    公开(公告)号:US12123398B2

    公开(公告)日:2024-10-22

    申请号:US17768676

    申请日:2020-10-09

    IPC分类号: F03D7/02 F03D7/04

    摘要: A rotor blade with a leading edge and a trailing edge is provided, wherein the rotor blade is designed and configured for being exposed to a fluid flowing substantially from the leading edge to the trailing edge, the rotor blade includes at least two sensors designed for detecting flow characteristics of the fluid and providing respective sensor signals, and the rotor blade further includes at least two actuators for producing an anti-noise signal based on a sensor signal, the sensors are arranged spanwise and the actuators are arranged chordwise at the surface of the rotor blade, and the actuators are arranged and prepared such that flow-induced edge noise of the rotor blade, which is generated by the fluid, is at least partly cancelled out by the anti-noise signal. Also provided is a method for creating such rotor blade and a related wind turbine.

    Auxiliary step platform for ladder

    公开(公告)号:US12116842B2

    公开(公告)日:2024-10-15

    申请号:US17324465

    申请日:2021-05-19

    申请人: Casey Swier

    发明人: Casey Swier

    IPC分类号: E06C7/16

    CPC分类号: E06C7/165

    摘要: An auxiliary platform for a ladder step. The auxiliary platform may include a substantially rectangular and horizontally oriented platform with a platform front negative edge and a platform rear edge hem. The auxiliary platform may further include a substantially flat front surface with a front surface flanged rearward-extending edge, the front surface flanged from the platform front negative edge. Additionally, the auxiliary platform a bracing surface flanged from and extended downward from the platform rear edge hem and oriented substantially parallel to the front surface, and a biasing member removably connected to the bracing surface. When the platform is placed on the ladder step and the biasing member biased against the ladder step and the bracing surface to secure the auxiliary platform to the ladder step.

    Wind turbine control based on reinforcement learning

    公开(公告)号:US12110867B2

    公开(公告)日:2024-10-08

    申请号:US17639925

    申请日:2020-08-13

    发明人: Bert Gollnick

    IPC分类号: F03D7/04

    摘要: Methods, systems, and devices for wind turbine control based on reinforcement learning are disclosed. The method comprises receiving data indicative of a current environmental state of the wind turbine, determining one or more controlling actions of the wind turbine based on the current environmental state of the wind turbine and a reinforcement learning algorithm, and applying the determined one or more controlling actions to the wind turbine.