IMAGE PROJECTING APPARATUS AND CONTROLLING METHOD THEREOF

    公开(公告)号:US20220247986A1

    公开(公告)日:2022-08-04

    申请号:US17725479

    申请日:2022-04-20

    Abstract: An image projecting apparatus including an optical output unit for projecting and image, a camera, a plurality of sensors, and a processor is disclosed. The processor is configured to identify, based on sensing data received through the plurality of sensors, a distance between each of the plurality of sensors and a projection surface, provide, based on a difference between the identified distances being greater than or equal to a pre-set threshold value, a user interface configured to guide a direction adjustment of the image projecting apparatus, and identify, based on a difference between the identified distances being less than the pre-set threshold value, a shape of a projected image by photographing an image projected to the projection surface through the camera, and control the optical output unit to project an image corrected based on the identified shape.

    METHOD AND APPARATUS FOR MANAGING THE MOBILITY OF DEVICE IN A NETWORK

    公开(公告)号:US20200296569A1

    公开(公告)日:2020-09-17

    申请号:US16813146

    申请日:2020-03-09

    Abstract: A method and Network function for controlling an operation of a device based on a service provided to the device is provided. The method includes obtaining at least one of information about the service requested by the device, movement information of the device, or capability information of the device, determining a characteristic of the service provided to the device based on at least one of the information about the service, the movement information of the device, or the capability information of the device, generating service setting information for the service provided to the device based on the determined characteristic of the service, and transmitting, to an Access and Mobility Function (AMF), the service setting information.

    METHOD AND APPARATUS FOR PERFORMING PRIORITY BASED CELL RESELECTION
    15.
    发明申请
    METHOD AND APPARATUS FOR PERFORMING PRIORITY BASED CELL RESELECTION 有权
    用于执行优先级细胞评估的方法和装置

    公开(公告)号:US20160088529A1

    公开(公告)日:2016-03-24

    申请号:US14862623

    申请日:2015-09-23

    Inventor: Seungil YOON

    Abstract: A method and an apparatus for priority based inter-radio access technology (inter-RAT) cell reselection are provided. In the existing algorithm for priority based inter-RAT cell reselection, an inter-RAT cell whose signal strength is above a preset threshold for a given duration is considered as satisfying the cell reselection criteria and may become a candidate for cell reselection. In this case, among those cells whose signal strength is above the preset threshold, a cell that does not have the highest priority may be selected. To address the above problem, the reference time duration for cell reselection may be changed. The enhanced cell reselection algorithm selects a cell having the highest priority among cells whose signal strength is above a preset threshold. Hence, it is possible to prevent repetition of unnecessary cell reselection.

    Abstract translation: 提供了一种基于优先级的无线间接入技术(RAT间)小区重选的方法和装置。 在用于基于优先级的RAT间小区重选的现有算法中,将给定持续时间的信号强度高于预设阈值的RAT间小区视为满足小区重选标准,并且可以成为小区重选的候选。 在这种情况下,在信号强度高于预设阈值的小区中,可以选择不具有最高优先级的小区。 为了解决上述问题,可以改变小区重选的参考时间。 增强小区重选算法在信号强度高于预设阈值的小区中选择具有最高优先级的小区。 因此,可以防止重复不必要的小区重选。

    METHOD AND ELECTRONIC DEVICE FOR OPTIMIZING TRAINING OF DATA DRIVEN MODEL IN WIRELESS NETWORK

    公开(公告)号:US20250053868A1

    公开(公告)日:2025-02-13

    申请号:US18752263

    申请日:2024-06-24

    Abstract: Methods for optimizing training of a data driven model in a wireless network by data driven model validation controller running in electronic device. The method may include obtaining and selecting a candidate data driven model from a plurality of candidate data driven models. The method may include determining whether the selected candidate data driven model meets a predefined prediction. The method may include deploying the selected candidate data driven model to a target deployment environment upon determining that the selected candidate data driven model meets the prediction. The method may include sending the selected candidate data driven model to a data driven model optimizer running in the electronic device for tuning a hyper-parameter and the data driven technique running in the data driven model upon determining that the selected candidate data driven model does not meet the prediction.

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