Resource configuration method and apparatus for heterogeneous cloud services

    公开(公告)号:US11449774B2

    公开(公告)日:2022-09-20

    申请号:US16700651

    申请日:2019-12-02

    Abstract: A resource configuration method and apparatus for heterogeneous cloud services are provided. The method may include: establishing a basic model with a general structure for at least two heterogeneous cloud services, where the basic model comprises a trend model and a periodic model; determining a cloud service in the at least two cloud services as a target cloud service, and acquiring a target historical data set of the target cloud service; training the trend model and the periodic model using the target historical data set; generating a target prediction model corresponding to the target cloud service based on the trained trend model and the trained periodic model; and generating, based on the target prediction model, a resource amount demanded by the target cloud service in a future time period, and configuring resources for the target cloud service according to the demanded resource amount.

    Relationship network generation method and device, electronic apparatus, and storage medium

    公开(公告)号:US11449558B2

    公开(公告)日:2022-09-20

    申请号:US17208211

    申请日:2021-03-22

    Inventor: Mingyang Dai

    Abstract: A relationship network generation method and device, electronic apparatus, and a storage medium are provided, which are related to big data processing. In an implementation, at least one historical text data corresponding to N users within a preset duration is acquired, where N is an integer greater than or equal to 1; sampling is performed on at least one historical text data corresponding to the N users to obtain the sampled text data respectively corresponding to the N users; semantic vectors corresponding to the N users respectively are determined based on the sampled text data corresponding to the N users respectively, and a semantic relationship network involving the N users is generated based on the semantic vectors corresponding to the N users respectively.

    Method and apparatus for detecting traffic

    公开(公告)号:US11444861B2

    公开(公告)日:2022-09-13

    申请号:US16676028

    申请日:2019-11-06

    Abstract: Embodiments of the present disclosure relate to a method and apparatus for detecting traffic. The method includes: acquiring traffic information of at least two dimensions of a target IP; determining whether the traffic information of the at least two dimensions contains traffic information exceeding an abnormal traffic threshold of a corresponding dimension of the target IP; and in response to determining that the traffic information of the at least two dimensions contains the traffic information exceeding the abnormal traffic threshold of the corresponding dimension, determining that the traffic of the target IP is abnormal.

    Method and apparatus for generating information

    公开(公告)号:US11436540B2

    公开(公告)日:2022-09-06

    申请号:US16722649

    申请日:2019-12-20

    Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating information. The method may include: receiving a modeling request; determining a target number of initial machine learning pipelines according to a type of training data and a model type; and executing following model generation steps using the target number of initial machine learning pipelines: generating a target number of new machine learning pipelines based on the target number of initial machine learning pipelines; performing model training based on the training data, the target number of initial machine learning pipelines, and the target number of new machine learning pipelines, to generate trained models; evaluating the obtained trained models respectively according to the evaluation indicator; determining whether a preset training termination condition is reached; and determining, in response to determining the preset training termination condition being reached, a target trained model from the obtained trained models according to evaluation results.

    METHOD AND APPARATUS FOR DETECTING VEHICLE POSE

    公开(公告)号:US20220270289A1

    公开(公告)日:2022-08-25

    申请号:US17743402

    申请日:2022-05-12

    Abstract: A method and device for detecting a vehicle pose, relating to the fields of computer vision and automatic driving. The specific implementation solution comprises: inputting a vehicle left view point image and a vehicle right view point image into a part prediction and mask segmentation network model, and determining foreground pixel points and part coordinates thereof in a reference image; converting coordinates of the foreground pixels in the reference image into coordinates of the foreground pixels in a camera coordinate system so as to obtain a pseudo-point cloud, and fusing part coordinate of the foreground pixels and the pseudo-point cloud to obtain fused pseudo-point cloud; and inputting the fused pseudo-point cloud into a pre-trained pose prediction model to obtain a pose information of the vehicle to be detected.

    Video processing method, apparatus, device and storage medium

    公开(公告)号:US11416967B2

    公开(公告)日:2022-08-16

    申请号:US17024253

    申请日:2020-09-17

    Abstract: Embodiments of the present disclosure provide a video processing method, a video processing device and a related non-transitory computer readable storage medium. The method includes the following. Frame sequence data of a low-resolution video to be converted is obtained. Pixel tensors of each frame in the frame sequence data are inputted into a pre-trained neural network model to obtain high-resolution video frame sequence data corresponding to the video to be converted output by the neural network model. The neural network model obtains the high-resolution video frame sequence data based on high-order pixel information of each frame in the frame sequence data.

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