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    METHOD OF MANAGING DISTRIBUTED ENERGY RESOURCES AND SYSTEM FOR PERFORMING THE SAME
    491.
    发明申请
    METHOD OF MANAGING DISTRIBUTED ENERGY RESOURCES AND SYSTEM FOR PERFORMING THE SAME 有权

    公开(公告)号：US20230135253A1

    公开(公告)日：2023-05-04

    申请号：US17975974

    申请日：2022-10-28

    Applicant: Electronics and Telecommunications Research Institute

    Inventor： Taehyoung SHIM

    IPC: G06Q50/06 ,  H02J3/38 ,  G06Q10/06

    Abstract: Provided is a method of managing distributed energy resources (DER) and a device for performing the method. A system for managing distributed energy resources includes a memory configured to store instructions, and a processor electrically connected to the memory and configured to execute the instructions, and when the instructions are executed by the processor, the processor is configured to determine at least one DER that is to supply power to a consumer from among a plurality of DERs, using a rank of each of the DERs indicating importance as a power source supplying power to the consumer and information about power consumed by the consumer.

    KNOWLEDGE-BASED DIALOGUE SYSTEM FOR SELF-LEARNING DIALOGUES AND LEARNING METHOD THEREOF
    492.
    发明申请
    KNOWLEDGE-BASED DIALOGUE SYSTEM FOR SELF-LEARNING DIALOGUES AND LEARNING METHOD THEREOF 有权

    公开(公告)号：US20230134933A1

    公开(公告)日：2023-05-04

    申请号：US17964477

    申请日：2022-10-12

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Yo Han LEE

    IPC: G06N5/02 ,  G06N5/04 ,  G06F16/332

    Abstract: Disclosed is a self-learning method of a knowledge-based dialogue system. The method includes generating, by the query generating module, a natural language query by itself based on a knowledge path for a query selected from a knowledge graph, inferring, by the answer generating module, a knowledge path for an answer corresponding to a query intention of the natural language query from the knowledge graph, and generating a natural language answer by itself based on the knowledge path for an answer, comparing and evaluating, by the dialogue evaluating unit, the knowledge path for a query and the knowledge path for an answer, and learning, by the query generating module and the answer generating module, a dialogue between the query generating module and the answer generating module based on an evaluation result of the dialogue evaluating unit.

    SIDELINK COMMUNICATION METHOD AND APPARATUS
    495.
    发明申请
    SIDELINK COMMUNICATION METHOD AND APPARATUS 有权

    公开(公告)号：US20230128351A1

    公开(公告)日：2023-04-27

    申请号：US17974348

    申请日：2022-10-26

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Tae Joong KIM

    IPC: H04W52/38 ,  H04W52/54

    Abstract: A sidelink communication method, performed by a first terminal, may comprise: determining a first power value of a first control channel for transmitting control information for sidelink communication based on open-loop power control; transmitting the control information on the first control channel having the first power value; in response to receiving a response signal corresponding to the control information, determining a second power value of a first data channel for transmitting data; and transmitting a second control channel and the first data channel in one predetermined slot for the sidelink communication, wherein a third power value of the second control channel and the second power value of the first data channel are determined based on at least a power value of the first control channel.

    ENCODER AND OPERATION METHOD THEREOF
    496.
    发明申请
    ENCODER AND OPERATION METHOD THEREOF 有权

    公开(公告)号：US20230125421A1

    公开(公告)日：2023-04-27

    申请号：US17893815

    申请日：2022-08-23

    Applicant: Electronics and Telecommunications Research Institute

    Inventor： Tae Wook KANG ,  Sung Eun KIM ,  Kyung Jin BYUN ,  Kwang IL OH ,  Jae-Jin LEE

    IPC: G06N3/04 ,  G06N10/20

    Abstract: Disclosed is operation method of an encoder that receives a continuous time-series signal and respectively transmits first to N-th input signals to first to N-th input neuron circuits of spike neural network circuit. The method of operating the encoder includes receiving the continuous time-series signal, generating a plurality of discrete quantum signals by sampling and quantizing the continuous time-series signal, selecting first to N-th discrete quantum signals among the plurality of discrete quantum signals, matching the selected first to N-th discrete quantum signals with the first to N-th input neuron circuits, respectively, identifying discrete quantum signals, each of which has a quantum level different from a quantum level of a previous discrete quantum signal, from among the second to N-th discrete quantum signals, and activating the input signals to be transmitted to the input neuron circuits corresponding to the identified discrete quantum signals and the first discrete quantum signal.

    Neural network generation method for neuromorphic computing and apparatus for the same
    499.
    发明授权
    Neural network generation method for neuromorphic computing and apparatus for the same 有权

    公开(公告)号：US11630992B2

    公开(公告)日：2023-04-18

    申请号：US16894276

    申请日：2020-06-05

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Yong-Joo Kim ,  Tae-Ho Kim ,  Eun-Ji Pak ,  Young-Mok Ha

    IPC: G06N3/08 ,  G06N3/063 ,  G06N3/02

    Abstract: Disclosed herein are a neural network generation method for neuromorphic computing and an apparatus for the same. The neural network generation method for neuromorphic computing includes selecting at least one part of a brain corresponding to a neural network function requested to be generated by an application, determining whether an existing neural network corresponding to the at least one part of the brain is present in a neural network database, when it is determined that no existing neural network is present in the neural network database, generating new neural network configuration information corresponding to the part of the brain based on a brain information database, generating a new neural network by mapping the new neural network configuration information to neuromorphic hardware based on the new neural network configuration information, and storing the new neural network in the neural network database.

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