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公开(公告)号：US20230421238A1
公开(公告)日：2023-12-28
申请号：US18339352
申请日：2023-06-22
Inventor： Han Jun PARK , Heesoo LEE , Yong Jin KWON , An Seok LEE , Yun Joo KIM , Hyun Seo PARK , Jung Bo SON , Yu Ro LEE
IPC: H04B7/08 , H04B17/373 , H04B7/06
CPC classification number: H04B7/088 , H04B17/373 , H04B7/0626
Abstract: A method of a terminal may comprise: receiving downlink reference signals from a base station; generating beam report information based on the downlink reference signals, and transmitting the beam report information to the base station; receiving, from the base station, beam prediction information based on the beam report information and valid time information on a valid time for the beam prediction information; and selecting a beam based on the beam prediction information and the valid time information, and using the selected beam.
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32.发明公开公开(公告)号：US20230354063A1
公开(公告)日：2023-11-02
申请号：US18308188
申请日：2023-04-27
Inventor： Han Jun PARK , An Seok LEE , Heesoo LEE , Yong Jin KWON , Hyun Seo PARK , Yu Ro LEE
Abstract: A method of a base station may comprise: receiving, from each of terminals belonging to the base station, a capability information report message related to an artificial neural network; generating artificial neural network configuration information based on capability of the base station and the capability information report message received from each of the terminals; and transmitting the generated artificial neural network configuration information to the terminals belonging to the base station.
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33.发明公开公开(公告)号：US20230198814A1
公开(公告)日：2023-06-22
申请号：US18085123
申请日：2022-12-20
Inventor： An Seok LEE , Yong Jin KWON , Heesoo LEE , Yun Joo KIM , Hyun Seo PARK , Yu Ro LEE
CPC classification number: H04L25/0254 , H04W24/08
Abstract: An operation method of a terminal using a channel estimation artificial intelligence (AI) model may comprise: receiving, from a base station, information on the channel estimation AI model; performing first channel estimation using the channel estimation AI model by receiving a first signal A from a base station; and receiving, from the base station, data based on the estimated channel.
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Patent Agency Ranking
公开(公告)号：US20230196205A1
公开(公告)日：2023-06-22
申请号：US18085140
申请日：2022-12-20
Inventor： An Seok LEE , Yong Jin KWON , Heesoo LEE , Yo Seb JEON , Jae Won YUN
Abstract: A learning method of distributed artificial intelligence is disclosed. The method is comprising: updating, by the local device, parameters of a corresponding local model by training the local model based on a corresponding local dataset; generating, by the local device, compressed gradient information by compressing gradients of the parameter of the local model; transmitting, by the local device, the compressed gradient information to a parameter server; reconstructing, by a parameter server, gradients of the parameters of the local model based on the compressed gradient information received from the local device; and updating, by the parameter server, parameters of a global model based on the reconstructed gradients of the parameters of the local model.
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公开(公告)号：US20230041614A1
公开(公告)日：2023-02-09
申请号：US17533679
申请日：2021-11-23
Inventor： Ye Bin MOON , Tae Hyun OH , Yong Jin KWON
Abstract: The present disclosure relates to a method and apparatus for training artificial intelligence based on an episodic memory. According to an embodiment of the present disclosure, a method for training artificial intelligence based on an episodic memory may include: constructing an episodic memory by using a feature vector of a training dataset stored in a full memory; obtaining output data by inputting query data into an artificial intelligence model; deriving a similarity between the output data and a feature vector in the constructed episodic memory; and deriving an episode loss function based on the similarity.
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36.发明申请公开(公告)号：US20220150718A1
公开(公告)日：2022-05-12
申请号：US17518399
申请日：2021-11-03
Inventor： Yong Jin KWON
Abstract: An operation method performed by a mobile base station in a communication system may comprise: obtaining altitude information; configuring altitude indicator information indicating whether the obtained altitude information is higher or lower than an altitude reference in cooperation with a drone management device based on the obtained altitude information; and transmitting the configured altitude indicator information to a terminal.
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公开(公告)号：US20200074647A1
公开(公告)日：2020-03-05
申请号：US16541639
申请日：2019-08-15
Inventor： Jin Young MOON , Yong Jin KWON , HYUNG IL KIM , Ki Min YUN , Jong Youl PARK , Sung Chan OH , Jeun Woo LEE
Abstract: Smart glasses for selectively tracking a target of visual cognition according to the present invention include a first camera configured to capture a first input image that is a first-person view image of a user, a second camera configured to capture a second input image containing sight line information of the user, a display configured to output additional information corresponding to the first input image, a memory configured to store a program for selectively tracking a target of visual cognition on the basis of the first and second input images, and a processor configured to execute the program stored in the memory, wherein upon executing the program, the processor is configured to detect the target of visual cognition from the first input image and determine, from the second input image, whether the user is in an inattentive state with respect to the target of visual cognition.
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公开(公告)号：US20190019031A1
公开(公告)日：2019-01-17
申请号：US16033152
申请日：2018-07-11
Inventor： Ki Min YUN , Yong Jin KWON , Jin Young MOON , Sung Chan OH , Jong Youl PARK , Jeun Woo LEE
CPC classification number: G06K9/00664 , G06K9/00744 , G06T7/194 , G06T7/251 , G06T7/254 , G06T2207/10016 , G06T2207/20224
Abstract: Provided is a dynamic object detecting technique, and more specifically, a system and method for determining a state of a motion of a camera on the basis of a local motion estimated on the basis of a video captured by a dynamic camera and a result of analyzing a global motion, flexibly updating a background model according to the state of the motion of the camera, and flexibly detecting a dynamic object according to the state of the motion of the camera.
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