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公开(公告)号：US11755904B2
公开(公告)日：2023-09-12
申请号：US16970859
申请日：2019-02-20
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Hyungdal Kwon , Sungho Kang , Cheon Lee , Yunjae Lim
Abstract: The disclosure relates to an artificial intelligence (AI) system that simulates functions such as cognition and judgment of the human brain by utilizing machine learning algorithms such as deep learning and its applications. In particular, the disclosure provides a method of controlling data input and output of a fully connected network according to an artificial intelligence system and its applications, the method including receiving, from a learning circuit, an edge sequence representing a connection relationship between nodes included in a current layer of the fully connected network, generating a compressed edge sequence that compresses consecutive invalid bits among bit strings constituting the edge sequence into one bit and a validity determination sequence determining valid and invalid bits among the bit strings constituting the compressed edge sequence, writing the compressed edge sequence and the validity determination sequence to the memory, and sequentially reading the compressed edge sequences from the memory based on the validity determination sequence such that the valid bits are sequentially output to the learning circuit.
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公开(公告)号：US10154427B2
公开(公告)日：2018-12-11
申请号：US15368870
申请日：2016-12-05
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Hyunsuk Min , Jieun Kim , Yunjae Lim , Changseok Lee , Sangsun Choi , Jaeeun Kang , Junho Koh , Jongyoub Ryu , Yonghyun Lim
Abstract: The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.A method of managing an electronic device is provided, which includes determining a management target device, selecting at least one measurement device based on the determined management target device, transmitting an operation command to the management target device, receiving measurement information from the at least one measurement device, and determining a state of the management target device based on the received measurement information.
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公开(公告)号：US10757554B2
公开(公告)日：2020-08-25
申请号：US16212876
申请日：2018-12-07
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Hyunsuk Min , Jieun Kim , Yunjae Lim , Changseok Lee , Sangsun Choi , Jaeeun Kang , Junho Koh , Jongyoub Ryu , Yonghyun Lim
Abstract: The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.A method of managing an electronic device is provided, which includes determining a management target device, selecting at least one measurement device based on the determined management target device, transmitting an operation command to the management target device, receiving measurement information from the at least one measurement device, and determining a state of the management target device based on the received measurement information.
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公开(公告)号：US09924312B2
公开(公告)日：2018-03-20
申请号：US15361619
申请日：2016-11-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Kyungjae Kim , Jieun Kim , Yunjae Lim , Jaewook Kim , Hyunsuk Min , Kwanwoo Song , Apoorv Kansal , Byungcheol Yu , Hogun Lim , Hyejung Cho , Sangsun Choi , Jaeeun Kang , Changhan Kim , Jongyoub Ryu
CPC classification number: H04W4/021 , H04L43/16 , H04W4/70 , H04W4/80 , H04W52/02 , H04W88/16 , Y02D70/142 , Y02D70/144 , Y02D70/162 , Y02D70/21
Abstract: The present disclosure relates generally to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.A communication apparatus performs a method for determining a user's presence in a specific space. In the method, the apparatus receives a first signal from a first sensor and identifies a user access direction, based on the received first signal. Then, the apparatus selects a second sensor, based on the identified user access direction, receives a second signal from the selected second sensor, and determines whether a user enters in the specific space, based on the received second signal.
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公开(公告)号：US11966846B2
公开(公告)日：2024-04-23
申请号：US16281737
申请日：2019-02-21
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Sungho Kang , Hyungdal Kwon , Cheon Lee , Yunjae Lim
Abstract: An encoding apparatus connected to a learning circuit processing learning of a deep neural network and configured to perform encoding for reconfiguring connection or disconnection of a plurality of edges in a layer of the deep neural network using an edge sequence generated based on a random number sequence and dropout information indicating a ratio between connected edges and disconnected edges of a plurality of edges included in a layer of the deep neural network.
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Patent Agency Ranking
公开(公告)号：US11430137B2
公开(公告)日：2022-08-30
申请号：US16969026
申请日：2019-03-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Sungho Kang , Yunjae Lim , Hyungdal Kwon , Cheon Lee
Abstract: An electronic device and a control method therefor are disclosed. A method for controlling an electronic device according to the present invention comprises the steps of: receiving a current frame; determining a region, within the current frame, where there is a movement, on the basis of a prior frame and the current frame; inputting the current frame into an artificial intelligence learning model on the basis of the region where there is the movement, to obtain information relating to at least one object included in the current frame; and determining the object included in the region where there is the movement, by using the obtained information relating to the at least one object. Therefore, electronic device can rapidly determine an object included in a frame configuring a captured image.
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公开(公告)号：US09992037B2
公开(公告)日：2018-06-05
申请号：US15121235
申请日：2015-03-17
Applicant: Samsung Electronics Co., Ltd.
Inventor： Yunjae Lim , Dongik Lee
CPC classification number: H04L12/2823 , H04L12/2809 , H04L12/6418 , H04L2012/2841
Abstract: A method according to an embodiment of the present invention relates to a method for automatically mapping a smart plug and an electronic device connected thereto in a home gateway. The method may comprise the steps of: deleting pre-stored mapping information when a signal received from the smart plug satisfies a condition requiring remapping to the electronic device; configuring a mapping candidate group on the basis of data included in the signal received from the smart plug and information stored for the electronic device when a status change notification signal is received from a predetermined electronic device within a preconfigured time; and when it can be determined that one particular electronic device from among the configured candidate group has been mapped to the smart plug, automatically mapping the corresponding electronic device and the smart plug in a state that the corresponding electronic device is connected to the smart plug.
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8.发明授权公开(公告)号：US12175361B2
公开(公告)日：2024-12-24
申请号：US16979303
申请日：2019-03-06
Applicant: Samsung Electronics Co., Ltd.
Inventor： Cheon Lee , Sungho Kang , Hyungdal Kwon , Yunjae Lim
Abstract: The present disclosure relates to an artificial intelligence (AI) system that utilizes a machine learning algorithm, and applications therefore. Disclosed is an electronic device. The electronic device comprises: a storage unit which stores therein an artificial intelligence model trained to determine parameters for a plurality of filters used for image processing on the basis of a deep neural network (DNN); and a processor for determining, through the artificial intelligence mode, parameters for each of the plurality of filters used for image processing for an input image, and performing, through the plurality of filters, filtering of the input image on the basis of the determined parameters so as to perform image processing for the input image.
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公开(公告)号：US12001954B2
公开(公告)日：2024-06-04
申请号：US16281737
申请日：2019-02-21
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Sungho Kang , Hyungdal Kwon , Cheon Lee , Yunjae Lim
Abstract: An encoding apparatus connected to a learning circuit processing learning of a deep neural network and configured to perform encoding for reconfiguring connection or disconnection of a plurality of edges in a layer of the deep neural network using an edge sequence generated based on a random number sequence and dropout information indicating a ratio between connected edges and disconnected edges of a plurality of edges included in a layer of the deep neural network.
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公开(公告)号：US11809954B2
公开(公告)日：2023-11-07
申请号：US16281737
申请日：2019-02-21
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Sungho Kang , Hyungdal Kwon , Cheon Lee , Yunjae Lim
Abstract: An encoding apparatus connected to a learning circuit processing learning of a deep neural network and configured to perform encoding for reconfiguring connection or disconnection of a plurality of edges in a layer of the deep neural network using an edge sequence generated based on a random number sequence and dropout information indicating a ratio between connected edges and disconnected edges of a plurality of edges included in a layer of the deep neural network.
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