公开(公告)号：US20230144418A1

公开(公告)日：2023-05-11

申请号：US17983021

申请日：2022-11-08

Applicant: Korea Advanced Institute of Science and Technology ,  IUCF-HYU (Industry-University Cooperation Foundation Hanyang University)

Inventor： Yong Hee KIM ,  Jeong Ik Lee ,  Taesuk Oh ,  Seongdong Jang ,  Sung Joong Kim ,  Doyoung Shin ,  Jae Hyung Park ,  Geonhyeong Lee ,  Joongoo Jeon ,  Taeseok Kim

IPC: G21C15/12 ,  G21C11/08 ,  G21C13/024 ,  G21C15/18

CPC classification number: G21C15/12 ,  G21C11/083 ,  G21C13/024 ,  G21C15/182

Abstract: Disclosed herein is a reactor including a reactor vessel and a containment vessel configured to surround the reactor vessel. The containment vessel includes a thermal radiation shield disposed on an inner wall, and a gap between the reactor vessel and the containment vessel is in an atmospheric pressure and air atmosphere state.

公开(公告)号：US11647338B2

公开(公告)日：2023-05-09

申请号：US17347415

申请日：2021-06-14

Applicant: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY ,  FRONICS INC.

Inventor： Keonjae Lee ,  Young Hoon Jung ,  Jae Hyun Han ,  Hee Seung Wang ,  Mingi Chung

IPC: H04R17/02 ,  H10N30/88 ,  H10N30/20 ,  H10N30/853 ,  H10N30/078 ,  H04R3/04 ,  H04R1/04 ,  H04R17/00 ,  H04R7/04 ,  H03F3/183 ,  H01L41/053 ,  H01L41/09 ,  H01L41/187 ,  H01L41/318

CPC classification number: H04R17/02 ,  H01L41/0533 ,  H01L41/0973 ,  H01L41/1876 ,  H01L41/318 ,  H03F3/183 ,  H04R1/04 ,  H04R3/04 ,  H04R7/04 ,  H04R17/005 ,  H03F2200/03 ,  H04R2307/025 ,  H04R2440/01

Abstract: Provided is a voice sensor comprising a piezoelectric material layer includes a substrate, a support layer, a metal layer, a piezoelectric material layer on the metal layer and an electrode on the piezoelectric material layer, and the substrate integrally supports a device layer of the voice sensor by exposing a part of a thin film including the piezoelectric material layer, the electrode and a polymer layer.

公开(公告)号：US11647090B2

公开(公告)日：2023-05-09

申请号：US16186000

申请日：2018-11-09

Applicant: Korea Advanced Institute of Science and Technology

Inventor： In-Young Ko ,  Kyeongdeok Baek

IPC: H04L67/51 ,  H04L43/045 ,  H04L67/12 ,  H04L41/0893 ,  H04L41/50 ,  H04L41/5041 ,  H04L67/52 ,  H04L41/16

CPC classification number: H04L67/51 ,  H04L41/0893 ,  H04L41/5048 ,  H04L41/5058 ,  H04L43/045 ,  H04L67/12 ,  H04L67/52 ,  H04L41/16

Abstract: Spatio-cohesive service discovery and handover methods for distributed IoT environments are disclosed. The spatio-cohesive service discovery and handover methods include discovering a set of IoT (internet of thing) resources for providing a set of services which is a set of functionalities necessary for a task in distributed IoT environments, wherein the discovering a set of IoT resources may discover the set of IoT resources through a spatio-cohesive method considering spatial distance between a user and a service and between two services.

公开(公告)号：US20230136378A1

公开(公告)日：2023-05-04

申请号：US17974545

申请日：2022-10-27

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Gi Hun LEE ,  Min Chan JEONG ,  Se Young YUN ,  Sang Min BAE ,  Jae Yeon AHN ,  Seong Yoon KIM ,  Woo Jin CHUNG

IPC: G06N20/00 ,  H04L67/00

Abstract: Proposed is a federated learning system. The federated learning system comprises: a central server configured to transmit at least one global parameter of a global model to each client device, receive at least one local parameter of a local model trained from each of client devices, and update the global model using the at least one local parameter; and a plurality of client devices configured to train the local model by applying a loss between a predicted value of the global model and a predicted value of the local model possessed by itself to a loss function, and transmit at least one local parameter of the trained local model to the central server.

公开(公告)号：US20230133793A1

公开(公告)日：2023-05-04

申请号：US17975664

申请日：2022-10-28

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Jae Hoon OH ,  Sang Mook KIM ,  Se Young YUN ,  Sang Min BAE ,  Jae Woo SHIN ,  Seong Yoon KIM ,  Woo Jin CHUNG

IPC: G06N20/00

Abstract: Proposed is a federated learning system. The federated learning system may comprise: a central server configured to transmit a first parameter of an extractor in a federated learning model including the extractor and a classifier to each of a plurality of client devices, and receive a plurality of first parameters learned from the plurality of client devices to update the federated learning model; and the plurality of client devices configured to train each of the plurality of the first parameters of the federated learning model using a training data set stored in each of the plurality of client devices while maintaining a value of a second parameter value of the classifier in the federated learning model, and to transmit each of the plurality of the trained first parameters to the central server.

公开(公告)号：US20230131543A1

公开(公告)日：2023-04-27

申请号：US17903969

申请日：2022-09-06

Applicant: Samsung Electronics Co., Ltd. ,  Korea Advanced Institute of Science and Technology

Inventor： Jun-Woo JANG ,  Jaekang SHIN ,  Lee-Sup KIM ,  Seungkyu CHOI

IPC: G06N3/04 ,  G06V10/82

Abstract: A processor-implemented method with multi-task processing includes: obtaining weights of a first neural network; obtaining first delta weights of a second neural network that is fine-tuned from the first neural network, based on a target task; performing an operation of the second neural network on first input data, based on sums of the weights of the first neural network and the first delta weights; obtaining second delta weights of a third neural network that is fine-tuned from the first neural network, based on a change of the target task; replacing the first delta weights with the second delta weights; and performing an operation of the third neural network on second input data, based on sums of the weights of the first neural network and the second delta weights, wherein the first delta weights comprise difference values in the weights of the first neural network and weights of the second neural network, and the second delta weight comprises difference values in the weights of the first neural network and weights of the third neural network.

公开(公告)号：US20230119862A1

公开(公告)日：2023-04-20

申请号：US17907188

申请日：2021-03-19

Applicant: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Hyun Gyu PARK ,  Jayeon SONG ,  Hyo Yong KIM ,  Yujin JUNG

IPC: C12Q1/6876 ,  C12Q1/686

Abstract: The present invention relates to a self-priming hairpin-mediated isothermal amplification (SP-HAMP) and, more specifically, to a hairpin probe having a self-priming structure, which is for detecting a target nucleic acid and can be used in the nucleic acid isothermal amplification, and to a method for detecting a target nucleic acid by using same. The SP-HAMP technique according to the present invention is convenient due to no need of a separate primer with a complicated design required in existing LAMP technology, has improved efficiency of detection compared with existing LAMP reactions, and can detect DNA as well as RNA as a target nucleic acid, and therefore the technique according to the present invention can be applied in a wider variety of fields.

公开(公告)号：US20230119563A1

公开(公告)日：2023-04-20

申请号：US17909204

申请日：2021-03-05

Applicant: SEOUL NATIONAL UNIVERSITY HOSPITAL ,  KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY ,  OBE LAB., INC.

Inventor： Sang Bae KO ,  Tae Jung KIM ,  Hyeon Min BAE ,  Jong Kwan CHOI ,  Jae Myoung KIM

IPC: A61B5/00 ,  A61B5/145

Abstract: There is provided a method of providing information about prognosis after cardiac arrest. The method includes the steps of: calculating biological information based on a signal relating to a hemoglobin concentration measured from a cerebral region of a subject to be measured; and providing the information about the prognosis after cardiac arrest of the subject with reference to the calculated biological information and a biomarker relating to the prognosis after cardiac arrest measured from a blood of the subject.

公开(公告)号：US11631757B2

公开(公告)日：2023-04-18

申请号：US16941122

申请日：2020-07-28

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Sungjae Cho

IPC: H01L29/66 ,  H01L29/16 ,  H01L29/423

Abstract: The present disclosure relates to a graphene spin transistor for all-electrical operation at room temperature and a logic gate using the graphene Rashba spin transistor. A graphene spin transistor of the present disclosure provides a graphene spin FET (Field Effect Transistor) for all-electrical operation at room temperature without a magnetic field or a ferromagnetic electrode by utilizing the Rashba-Edelstein effect in the graphene or the spin Hall effect of a TMDC (Transition Metal Dichalcogenide) material in order to replace CMOS transistors and extend Moore's Law, and further provides a logic gate using the graphene Rashba spin transistor.

公开(公告)号：US11626030B2

公开(公告)日：2023-04-11

申请号：US16381954

申请日：2019-04-11

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Sang Wan Lee ,  JeeHang Lee ,  SangHyun Lee

IPC: G09B19/00 ,  G06N20/00 ,  G07F17/32

Abstract: Disclosed is a strategy guide method performed by an artificial intelligence (AI)-based strategy guide system, the method including generating an environment that interacts with a user; and controlling a strategy of the user based on a preset multi-objectives by changing the environment in response to observing a decision making of the user in the environment.