METHOD, APPARATUS, MEDIUM AND ELECTRONIC DEVICE FOR NETWORK ACCESS

    公开(公告)号:US20240340233A1

    公开(公告)日:2024-10-10

    申请号:US18744502

    申请日:2024-06-14

    CPC classification number: H04L45/121 H04L45/28

    Abstract: The present disclosure relates to a method, apparatus, medium and electronic device for network access, applied to a Content Delivery Network, comprising: determining a candidate node currently accessible to a client in response to that a predetermined routing condition is triggered; obtaining response time consumption corresponding to the candidate nodes by measuring the rates of the candidate nodes, and determining an optimal node among the candidate nodes based on the response time consumption, a smaller response time consumption representing a faster network response rate corresponding to a candidate node; and accessing the client to the optimal node for network communication.

    CONNECTING STRUCTURE AND WEARABLE ELECTRONIC DEVICE

    公开(公告)号:US20240302680A1

    公开(公告)日:2024-09-12

    申请号:US18573577

    申请日:2022-08-30

    Inventor: Fuxuan Li Wu Han

    CPC classification number: G02C11/10 G02C5/22

    Abstract: The disclosure provides a connecting structure and a wearable electronic device. The connecting structure includes: a first component having a first accommodating space and a first shaft hole in communication with each other; a second component having a second accommodating space and a second shaft hole in communication with each other; a rotating shaft inserted into the first and second shaft holes, the first and second components being rotatably connected by the rotating shaft, a first end of the rotating shaft being located inside the first component, the rotating shaft having a cavity opened on an end face of the first end and in communication with the first accommodating space, a side wall of the rotating shaft has a first opening in communication with the cavity and the second accommodating space; a transmission component having an end fixed in the second accommodating space and the other end extending from the second accommodating space to the first accommodating space through the first opening and the cavity and fixed in the first accommodating space.

    METHOD, APPARATUS, DEVICE, AND MEDIUM FOR PROCESSING VISUAL TASK BY GENERIC MODEL

    公开(公告)号:US20240220864A1

    公开(公告)日:2024-07-04

    申请号:US18531091

    申请日:2023-12-06

    CPC classification number: G06N20/00

    Abstract: A method, apparatus, device, and medium are provided for processing a visual task by a generic model. In a method, visual data and prompt data associated with a visual task are received, the visual task specifying that a processing result associated with the prompt data is to be determined from the visual data. A generic prompt representation of the prompt data is obtained, the prompt data including either an image format or a language expression format. A generic visual representation of the visual data is obtained, the visual data including either an image format or a video format. The processing result is determined based on the generic prompt representation and the generic visual representation. Here, different visual tasks can be processed in a unified way, training data can be shared across a plurality of visual tasks, and the processing performance of the generic processing model can be improved.

    METHOD, APPARATUS, DEVICE, STORAGE MEDIUM AND PROGRAM PRODUCT FOR PROMOTER DETERMINATION

    公开(公告)号:US20240202769A1

    公开(公告)日:2024-06-20

    申请号:US18555100

    申请日:2022-04-07

    CPC classification number: G06Q30/0243

    Abstract: According to the embodiments of the present disclosure, a method, an apparatus, a device, a storage medium and a program product for promoter determination are provided. The method includes: recalling, from a set of promoters, a plurality of candidate promoters for a target provider, the target provider being capable of providing at least one object available to a user, the plurality of candidate promoters being capable of publishing guidance contents for guiding a user to acquire a corresponding object; determining, based on a first feature of the target provider and second features of the plurality of candidate promoters, priority levels of the plurality of candidate promoters; and determining, based on the priority levels, a target promoter for the target provider from the plurality of candidate promoters.

    NAVIGATION METHOD AND APPARATUS, STORAGE MEDIUM, AND DEVICE

    公开(公告)号:US20240175702A1

    公开(公告)日:2024-05-30

    申请号:US18552608

    申请日:2022-03-30

    CPC classification number: G01C21/38

    Abstract: Provided are a navigation method and apparatus, a storage medium, and a device. The method includes the steps below. A global planning path in a target map is determined according to a current position of a robot and an end position in a navigation request. An initial local path corresponding to the global planning path is determined based on a local planning range. The local planning range corresponds to the boundary of a local costmap. The local costmap includes obstacle information within the local planning range. A local planning path corresponding to the initial local path is generated according to the initial local path and the local costmap. A navigation control instruction of the robot is generated according to the local planning path and a preset robot model corresponding to the robot.

    METHOD, APPARATUS, DEVICE AND MEDIUM FOR GENERATING NEGATIVE SAMPLE PAIR FOR CONTRASTIVE LEARNING MODEL

    公开(公告)号:US20240152806A1

    公开(公告)日:2024-05-09

    申请号:US18388078

    申请日:2023-11-08

    Inventor: Hao WU Cheng YANG

    CPC classification number: G06N20/00

    Abstract: A solution for generating a negative sample pair of a contrastive learning model is provided. In one method, a first data segment is obtained from a first data sequence in a plurality of data sequences for training the contrastive learning model, and a second data segment is obtained from a second data sequence in the plurality of data sequences. A data frame is selected from a further data sequence than the second data sequence in the plurality of data sequences. A third data segment is generated based on the second data segment and the data frame. A negative sample pair for training the contrastive learning model is determined based on the first data segment and the third data segment. Therefore, richer semantic information can be introduced into negative sample pairs in terms of appearance, and further the accuracy of the contrastive learning model can be improved.

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