USER TERMINAL APPARATUS, DISPLAY APPARATUS, AND CONTROL METHODS THEREOF
    12.
    发明申请
    USER TERMINAL APPARATUS, DISPLAY APPARATUS, AND CONTROL METHODS THEREOF 审中-公开
    用户终端设备,显示设备及其控制方法

    公开(公告)号:US20150220295A1

    公开(公告)日:2015-08-06

    申请号:US14338818

    申请日:2014-07-23

    Abstract: A display apparatus is provided, including a communicator configured to communicate with an external user terminal apparatus, a gaze tracker configured to track a user's gaze, and a controller configured to determine a position of the user's gaze based on first gaze tracking information acquired by the gaze tracker and second gaze tracking information received from the user terminal apparatus. The controller is further configured to request information regarding an event that has occurred in the user terminal apparatus from the user terminal apparatus based on the determination result.

    Abstract translation: 提供了一种显示装置,包括被配置为与外部用户终端装置进行通信的通信器,被配置为跟踪用户的注视的凝视追踪器,以及控制器,被配置为基于由第一注视跟踪信息获取的第一注视跟踪信息来确定用户的注视位置 注视跟踪器和从用户终端装置接收到的第二注视跟踪信息。 控制器还被配置为基于确定结果从用户终端设备请求关于在用户终端设备中发生的事件的信息。

    LED LIGHTING APPARATUS
    13.
    发明申请
    LED LIGHTING APPARATUS 有权
    LED照明设备

    公开(公告)号:US20150204532A1

    公开(公告)日:2015-07-23

    申请号:US14490015

    申请日:2014-09-18

    Abstract: A light-emitting diode (LED) lighting apparatus includes an exterior member which covers a heat-dissipating member. Therefore, the LED lighting apparatus may be dustproof and waterproof. The shape of the heat-dissipating member may be modified to increase the surface area thereof and thus effectively dissipate heat.

    Abstract translation: 发光二极管(LED)照明装置包括覆盖散热构件的外部构件。 因此,LED照明装置可以防尘,防水。 可以改变散热构件的形状以增加其散热面积,从而有效地散热。

    NEURAL NETWORK TRAINING METHOD AND DEVICE

    公开(公告)号:US20210182664A1

    公开(公告)日:2021-06-17

    申请号:US16759878

    申请日:2017-11-16

    Abstract: Provided are an AI system for simulating functions such as recognition, determination, and so forth of human brains by using a mechanical learning algorithm like deep learning, or the like, and an application thereof. In particular, according to the AI system and the application thereof, a neural network training method includes obtaining a plurality of first images belonging to a particular category and a plurality of second images for which a category is not specified, training a neural network model for category recognition, based on the plurality of first images belonging to the particular category, recognizing at least one second image corresponding to the particular category among the plurality of second images, by using the trained neural network model, and modifying and refining the trained neural network model based on the recognized at least one second image.

    METHOD AND APPARATUS FOR RECOGNIZING OBJECT
    16.
    发明申请

    公开(公告)号:US20200160034A1

    公开(公告)日:2020-05-21

    申请号:US16635024

    申请日:2018-07-11

    Abstract: Provided are an artificial intelligence (AI) system that simulates functions of a human brain such as recognition and judgment by utilizing a machine learning algorithm such as deep learning, etc., and an application of the AI system. Provided are an AI system and a method of recognizing an object according to the application of the AI system, the method including: obtaining a plurality of pieces of sensor data about the object from a plurality of different types of sensors; converting at least some of the plurality of pieces of sensor data into two-dimensional (2D) sensor data; and recognizing the object by using a previously generated learning network model based on 2D image data obtained from an image sensor, which is one of the plurality of sensors, and the 2D sensor data.

    METHODS AND DEVICES FOR ALLOCATING RESOURCES FOR COMMUNICATIONS WITH BASE STATIONS

    公开(公告)号:US20180343586A1

    公开(公告)日:2018-11-29

    申请号:US16055402

    申请日:2018-08-06

    Abstract: A device may include a receiver configured to receive messages about first transmission rates provided by cooperation devices configured for device-to-device (D2D) communications in a radio communication system supporting the D2D communications; a determiner configured to determine second transmission rates for the device to suggest to the cooperation devices based on the first transmission rates; and/or a transmitter configured to transmit messages about the second transmission rates to the cooperation devices. The determiner may be further configured to change the second transmission rates until the first transmission rates converge. The determiner may be further configured to determine a final transmission rate suggested to the cooperation devices based on the converged first transmission rates.

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