METHOD AND SYSTEM FOR PUSHING MESSAGE BOX
    1.
    发明申请
    METHOD AND SYSTEM FOR PUSHING MESSAGE BOX 有权
    推送消息框的方法和系统

    公开(公告)号:US20140095671A1

    公开(公告)日:2014-04-03

    申请号:US14082838

    申请日:2013-11-18

    CPC classification number: H04L67/26 H04L12/1859 H04L51/24

    Abstract: Method and system for pushing a message box. The method includes sending, by a server, a data unique notification to a client when the server needs to send a message box; sending a message box receiving request having an identity to the server after receiving the data unique notification; pushing, by the server, data of the message box to the client after verifying the identity. By means of elaborate operations, such as the identity, a keep-alive communication mechanism and an active pushing mechanism as required which is controlled by the server, the present disclosure solves the problem of delay for pushing the message box, controls the risk of being attacked, and lowers the pressure to a pushing server brought by real-time pushing.

    Abstract translation: 推送消息框的方法和系统。 该方法包括:当服务器需要发送消息框时,由服务器向客户端发送数据唯一通知; 在接收到数据唯一通知之后,向服务器发送具有身份的请求的消息框; 在验证身份后,由服务器将消息框的数据推送给客户端。 通过由服务器控制的诸如身份,保持通信机制和主动推送机制的精细操作,本公开解决了推送消息框的延迟问题,控制成为 攻击,并降低对实时推送带来的推送服务器的压力。

    Image processing method, smart device, and computer readable storage medium

    公开(公告)号:US12182976B2

    公开(公告)日:2024-12-31

    申请号:US17711852

    申请日:2022-04-01

    Abstract: Methods, apparatuses and computer-readable storage mediums for processing images to remove moiré patterns. The method entails running an image processing model to perform moiré pattern removal processing on an original image to obtain a target image. The image processing model may include a network model trained according to a moiré pattern training data set. The image processing model can also include a multi-band module, which may be configured to process the original image to obtain an N-layer Laplacian pyramid of the original image, and obtain a first processing result feature map based on feature maps corresponding to N spatial frequency bands of the N-layer Laplacian pyramid, with N being a positive integer greater than or equal to 2. The image processing model can include obtaining the target image according to the first processing result feature map.

    Image processing method and apparatus, terminal, and computer-readable storage medium

    公开(公告)号:US11631275B2

    公开(公告)日:2023-04-18

    申请号:US17006071

    申请日:2020-08-28

    Inventor: Wei Xiong Fei Huang

    Abstract: Embodiments of the present disclosure disclose an image processing method and apparatus, a terminal, and a computer-readable storage medium, that are generally related to the field of computer technologies. The method can include obtaining a trained pixel classification model. The pixel classification model can be used for determining a classification identifier of each pixel in any image with the classification identifier including a head classification identifier. The head classification identifier can be used for indicating that a corresponding pixel is located in a head region. The method can further include classifying each pixel in the target image based on the pixel classification model to obtain a classification identifier of the pixel in the target image, and determining a head region in the target image according to pixels whose classification identifiers are a head classification identifier and editing the head region.

    Method and apparatus for dividing region, storage medium, and electronic device

    公开(公告)号:US11966424B2

    公开(公告)日:2024-04-23

    申请号:US17320013

    申请日:2021-05-13

    CPC classification number: G06F16/29 G06F9/54 G06F16/2255 G06F16/258

    Abstract: Embodiments of this application disclose a method and for dividing geographical regions performed by a computing device. The method includes: encoding latitudes and longitudes in a first dataset to obtain a second dataset, the first dataset recording N groups of latitudes and longitudes, and the second dataset recording N region numbers, and each of the region numbers being used for representing a corresponding geographical region; obtaining a third dataset from the second dataset, the third dataset recording M groups of the region numbers, corresponding central point latitudes and central point longitudes in the geographical regions represented by the region numbers; and dividing the geographical regions represented by the M groups of region numbers into P regions according to the third dataset, each of the regions including at least one of the geographical regions represented by the corresponding group of region numbers.

    SERVICE DATA PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20230082012A1

    公开(公告)日:2023-03-16

    申请号:US17986312

    申请日:2022-11-14

    Abstract: A service data processing method includes: acquiring a historical service data sequence of historical service data arranged in chronological order; determining a historical cycle to which the historical service data belongs, acquiring a reference service data sequence in a reference cycle corresponding to the historical cycle, and obtaining first comparative service data based on the reference service data sequence; acquiring a first service data difference between the historical service data and the first comparative service data; acquiring a reference data difference, and determining abnormal scenario influence values corresponding to the historical service data based on the first service data difference and the reference data difference; arranging the abnormal scenario influence values corresponding to the historical service data in chronological order to obtain a scenario influence value sequence; and determining target service data based on the historical service data sequence and the scenario influence value sequence.

    Classification model training method, server, and storage medium

    公开(公告)号:US11017220B2

    公开(公告)日:2021-05-25

    申请号:US16696361

    申请日:2019-11-26

    Abstract: A classification model training method is provided. The method includes selecting a training dataset, determining a category of a sketch in the training dataset according to a sketch classification model, to obtain a first category processing result, and analyzing, according to a second feature analysis model, a feature of the sketch extracted by a first feature extracting model, to obtain a second analysis result of the sketch; then obtaining a function value of a first loss function according to the first category processing result and the second analysis result of the sketch; and finally adjusting a first model parameter value of the sketch classification model according to the function value of the first loss function.

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