Method and apparatus for configuring guard period

    公开(公告)号:US11838932B2

    公开(公告)日:2023-12-05

    申请号:US17271571

    申请日:2018-08-28

    发明人: Yuanyuan Li

    摘要: A method for configuring a guard period includes: determining a target guard duration value corresponding to a guard period; and when data burst transmission is to be performed, sending target data of the data burst transmission to a receiver in the Internet of Vehicles starting from a first time point, where the first time point is a time point having an interval of the target guard duration value from a start time point, and the start time point is a time point at which the data burst transmission is determined to be performed. A guard period can be placed before sending target data, and a number of valid symbols in a subframe for data transmission can be increased by controlling a target guard duration value corresponding to the guard period, reducing performance loss of a terminal and improving performance in the Internet of Vehicles.

    METHODS AND INTERNET OF THINGS SYSTEMS FOR MANAGING CAMERA DEVICES OF PUBLIC LANDSCAPE IN SMART CITIES

    公开(公告)号:US20230370650A1

    公开(公告)日:2023-11-16

    申请号:US18361025

    申请日:2023-07-28

    摘要: The present disclosure provides a method and an Internet of Things system for managing a camera device of a public landscape in a smart city. The method is implemented based on the Internet of Things system, the system including a plurality of user platforms, a service platform, a management platform, and a plurality of object platforms. The method includes: counting, based on the service platform, a count of audience of the landscape images corresponding to the different user platforms in a preset future duration, and sending the count of the audience to the management platform, wherein the count of audience of the landscape images corresponding to the different user platforms in the future duration is determined through processing the count of the audience of the landscape images in a preset historical duration based on a third prediction model, and the third prediction model is the machine learning model; and determining, based on the management platform, a camera device to be canceled, the camera device to be canceled being a camera device corresponding to a landscape image whose the count of the audience does not satisfy a preset condition.