Patents Assigned to Chosun University
  • Patent number: 12284919
    Abstract: Disclosed according to various embodiments is a thermoelectric material for colossal Seebeck coefficients comprising an Mg-poor Mg2Sn crystal and Secondary Sn phase.
    Type: Grant
    Filed: May 24, 2023
    Date of Patent: April 22, 2025
    Assignee: Industry-Academic Cooperation Foundation, Chosun University
    Inventors: Sa Ra Kim, Nam Hoon Kim
  • Patent number: 12231544
    Abstract: A processor-implemented method with homomorphic encryption includes: receiving a first ciphertext corresponding to a first modulus; generating a second ciphertext corresponding to a second modulus by performing modulus raising on the first ciphertext; and performing bootstrapping by encoding the second ciphertext using a commutative property and an associative property of operations included in a rotation operation.
    Type: Grant
    Filed: November 28, 2023
    Date of Patent: February 18, 2025
    Assignees: SAMSUNG ELECTRONICS CO., LTD., Seoul National University R&DB Foundation, Industry Academic Cooperation Foundation, Chosun University
    Inventors: Jong-Seon No, Yongwoo Lee, Young-Sik Kim
  • Publication number: 20250036943
    Abstract: A processor-implemented method includes receiving data for performing a neural network operation of homomorphic encrypted data and a parameter for generating an approximate polynomial corresponding to the neural network operation, obtaining layer information corresponding to each of a plurality of layers configuring a neural network based on the data, determining layer importance corresponding to each of the plurality of layers, based on the parameter and the layer information, generating an approximate polynomial approximating the neural network operation for each of the plurality of layers, based on the layer importance, and generating an operation result by performing the neural network operation based on the approximate polynomial.
    Type: Application
    Filed: July 1, 2024
    Publication date: January 30, 2025
    Applicants: Samsung Electronics Co., Ltd., Seoul National University R&DB Foundation, Industry-Academic Cooperation Foundation, Chosun University, Chung Ang University Industry Academic Cooperation Foundation, POSTECH Research and Business Development Foundation
    Inventors: Yongjune KIM, Junghyun LEE, Young-Sik KIM, Jong-Seon NO, Jiheon WOO, Eunsang LEE, Joon-Woo LEE
  • Publication number: 20250036926
    Abstract: An operation method of performing a neural network operation of fully homomorphic encrypted data is provided. The operation method includes: receiving data for performing the neural network operation and receiving a parameter for generating an approximation polynomial corresponding to the neural network operation; obtaining layer information corresponding to layers of a neural network model, the layer information based on the data; determining importances of the layers, respectively, wherein the determining of the importances is based on the parameter and the layer information; generating an approximation polynomial approximating the neural network operation for each of the layers, wherein the generating is based on the layer importance; and generating an operation result by performing the neural network operation based on the approximation polynomial, wherein the parameter includes a computation time condition that the neural network operation must satisfy.
    Type: Application
    Filed: June 25, 2024
    Publication date: January 30, 2025
    Applicants: Samsung Electronics Co., Ltd., Seoul National University R&DB Foundation, Industry-Academic Cooperation Foundation, Chosun University, CHUNG ANG UNIVERSITY INDUSTRY ACADEMIC COOPERATION FOUNDATION, POSTECH RESEARCH AND BUSINESS DEVELOPMENT FOUNDATION
    Inventors: Joon-Woo LEE, Junghyun LEE, Yongjune KIM, Young-Sik KIM, Jong-Seon NO, Eunsang LEE
  • Publication number: 20250009309
    Abstract: The present invention relates to a method for estimating blood pressure from photoplethysmography (PPG) signals. The blood pressure estimation method using the CFR model according to an embodiment of the present invention is characterized in that it comprises the steps of extracting a plurality of blood flow characteristics from PPG signals for training, calculating systolic and diastolic blood pressures from ambulatory blood pressures for training, labeling the systolic and diastolic blood pressures with the plurality of blood flow characteristics to train a cascade forest regression model, and inputting the PPG signals of a target user into the trained cascade forest regression model to determine the systolic and diastolic blood pressures of the target user.
    Type: Application
    Filed: November 17, 2023
    Publication date: January 9, 2025
    Applicant: Industry-Academic Cooperation Foundation, Chosun University
    Inventors: Jae Hyo JUNG, Geng Jia ZHANG, Dae Gil CHOI
  • Patent number: 12192320
    Abstract: Disclosed is an encryption method and apparatus. The encryption method using homomorphic encryption may include generating a ciphertext by encrypting data, and bootstrapping the ciphertext by performing a modular reduction based on a selection of one or more target points for a modulus corresponding to the ciphertext.
    Type: Grant
    Filed: March 31, 2021
    Date of Patent: January 7, 2025
    Assignees: Samsung Electronics Co., Ltd., SNU R&DB Foundation, Industry-Academic Cooperation Foundation, Chosun University
    Inventors: Jong-Seon No, Joonwoo Lee, Young-Sik Kim, Yongwoo Lee, Eunsang Lee
  • Patent number: 12176721
    Abstract: An apparatus for transmitting power wirelessly using capacitive coupling, provided in a wearable device, includes: a transmission electrode including a plurality of unit electrode pairs, each unit electrode pair being formed by a transmission signal electrode and a transmission ground electrode; and a control module configured to select a unit electrode pair, forming capacitive coupling with the reception electrode, among the plurality of unit electrode pairs provided in the reception electrode, to wirelessly transmit power to a reception electrode included in an implantable device.
    Type: Grant
    Filed: November 23, 2021
    Date of Patent: December 24, 2024
    Assignee: Industry-Academic Cooperation Foundation, Chosun University
    Inventors: Youn Tae Kim, Da Eun Kim, Jae Hyo Jung, Si Ho Shin
  • Publication number: 20240273218
    Abstract: An apparatus with a neural network operation of homomorphic encrypted data includes: one or more processors configured to: generate homomorphic conjugation data of encrypted data based on the encrypted data, wherein the encrypted data corresponds to an output of each of a plurality of layers included in a neural network; and remove noise of the encrypted data based on the encrypted data and the homomorphic conjugation data.
    Type: Application
    Filed: October 31, 2023
    Publication date: August 15, 2024
    Applicants: Samsung Electronics Co., Ltd., Seoul National University R&DB Foundation, Daegu Gyeongbuk Institute of Science and Technology, Industry Academic Cooperation Foundation, Chosun University
    Inventors: Jong Seon NO, Eun Sang LEE, Joon Woo LEE, Young Sik KIM, Yongjune KIM, Jung Hyun LEE
  • Publication number: 20240265587
    Abstract: In accordance with various embodiments, an electronic device for colorizing a black and white image using a Generative Adversarial Network (GAN)-based model comprising a transformer block includes a processor, wherein the processor is set to: obtain a black and white image including only first information about a luminance channel; and generate a pseudo color image including only second information about a chrominance channel by applying the black and white image to the GAN-based model, the GAN-based model includes a generator network including a plurality of transformer blocks for color conversion, a plurality of convolution layers, and a plurality of transpose convolution layers, the plurality of transformer blocks each include a Depth Wise Convolution (DWC) layer, a first Layer Normalization (LN) layer, a Window-based Multi-head Self Attention (W-MSA) layer, a second LN layer, and a Colorization Feed Forward (CFF) block. Other various embodiments are possible.
    Type: Application
    Filed: January 25, 2024
    Publication date: August 8, 2024
    Applicant: Industry-Academic Cooperation Foundation, Chosun University
    Inventors: Bum Shik LEE, Muhammad Hamza SHAFIQ
  • Patent number: 12047815
    Abstract: Disclosed is an apparatus for dynamic resource allocation in cloud radio access networks, and the dynamic resource allocation apparatus includes: a deep reinforcement learning unit learning load fluctuation of a remote radio head by using deep reinforcement learning and predicting the load fluctuation of the remote radio head; a calculation unit calculating a computational resource of a virtual machine corresponding to the remote radio head by using the predicted load fluctuation; and an allocation unit allocating the calculated computational resource to the virtual machine.
    Type: Grant
    Filed: September 28, 2021
    Date of Patent: July 23, 2024
    Assignee: Industry-Academic Cooperation Foundation, Chosun University
    Inventors: Wooyeol Choi, Reheunuma Tasnim Rodoshi
  • Patent number: 12028150
    Abstract: A communication control apparatus and method of an artificial satellite are disclosed. The communication control apparatus includes a processor, a memory operatively connected to the processor, the memory being configured to store at least one piece of code to be executed by the processor, and a transmission and reception interface configured to communicate with a ground control center, wherein the memory stores code enabling the processor to receive location information of a signal generator on the ground from the ground control center, to calculate an angle of arrival for a target signal from the signal generator, received by the artificial satellite, based on the location information of the signal generator and location information of the ground control center, and to perform beamforming in a direction in which the artificial satellite detects the target signal based on the angle of arrival, when the code is executed by the processor.
    Type: Grant
    Filed: November 19, 2021
    Date of Patent: July 2, 2024
    Assignee: Industry-Academic Cooperation Foundation, Chosun University
    Inventor: Suk-seung Hwang
  • Publication number: 20240211738
    Abstract: An apparatus and method with encrypted data neural network operation is provided. The apparatus includes one or more processors configured to execute instructions and one or more memories storing the instructions, wherein the execution of the instructions by the one or more processors configures the one or more processors to generate a target approximate polynomial, approximating a neural network operation, of a portion of a neural network model, using a determined target approximation region, for the target approximate polynomial, based on a first approximate polynomial generated based on parameters corresponding to a generation of the first approximate polynomial, a maximum value of input data to the portion of the neural network layer, and a minimum value of the input data, and generate a neural network operation result using the target approximate polynomial and the input data.
    Type: Application
    Filed: October 17, 2023
    Publication date: June 27, 2024
    Applicants: SAMSUNG ELECTRONICS CO., LTD., Seoul National University R&DB Foundation, Daegu Gyeongbuk Institute of Science and Technology, Industry Academic Cooperation Foundation, Chosun University
    Inventors: Jong-Seon NO, Junghyun LEE, Yongjune KIM, Joon-Woo LEE, Young Sik KIM, Eunsang LEE
  • Publication number: 20240211737
    Abstract: An apparatus includes one or more processors configured to execute instructions; and one or more memories storing the instructions; wherein the execution of the instructions by the one or more processors configures the one or more processors to generate an approximate polynomial, approximating a neural network operation, of a portion of a deep neural network model that is configured to receive input data, by using weighted least squares based on parameters corresponding to the generation of the approximate polynomial, a mean of the input data, and a standard deviation of the input data; and generate a homomorphic encrypted data operation result based on the input data and the approximate polynomial that approximates the neural network operation.
    Type: Application
    Filed: September 20, 2023
    Publication date: June 27, 2024
    Applicants: SAMSUNG ELECTRONICS CO., LTD., Seoul National University R&DB Foundation, Daegu Gyeongbuk Institute of Science and Technology, Industry Academic Cooperation Foundation, Chosun University
    Inventors: Jong Seon NO, Yongjune KIM, Eun Sang LEE, Jung Hyun LEE, Young Sik KIM, Joon Woo LEE
  • Patent number: 11987849
    Abstract: This application relates to a composition for diagnosis of leptospirosis and a method for diagnosis of leptospirosis by real-time PCR. For example, the application relates to a pair of primers of SEQ ID NOS: 1 and 2 and a probe of SEQ ID NO: 3, a kit for diagnosis of leptospirosis, comprising the diagnostic composition, and a method for providing information for diagnosis of leptospirosis are provided. The composition and the method can specifically detect L. interrogans IS 1500 gene and exhibit excellent accuracy and sensitivity, compared to conventional well-known detection methods. Thus, the simple method through real-time PCR using the composition allows the quick and accurate diagnosis of leptospirosis.
    Type: Grant
    Filed: November 15, 2021
    Date of Patent: May 21, 2024
    Assignee: Industry-Academic Cooperation Foundation, Chosun University
    Inventors: Dong Min Kim, You Mi Lee, Choon Mee Kim
  • Publication number: 20240121103
    Abstract: Disclosed are an electronic device for performing secure communication based on an asymmetric key using a polynomial ring and the operating method thereof to support secure communication having quantum resistance to be enabled.
    Type: Application
    Filed: January 30, 2023
    Publication date: April 11, 2024
    Applicant: Industry-Academic Cooperation Foundation, Chosun University
    Inventors: Chanki KIM, Young Sik KIM
  • Patent number: 11948388
    Abstract: The present disclosure relates to a user recognition method and a user recognition apparatus using a two-dimensional (2D) electromyogram (EMG) spectrogram image. The user recognition method using a 2D EMG spectrogram image may include (a) acquiring a one-dimensional EMG signal for a user, (b) converting the acquired one-dimensional EMG signal to a 2D EMG spectrogram image including a temporal feature and a frequency feature, and (c) recognizing the user based on the 2D EMG spectrogram image.
    Type: Grant
    Filed: July 22, 2021
    Date of Patent: April 2, 2024
    Assignee: Industry-Academic Cooperation Foundation, Chosun University
    Inventors: Sung Bum Pan, Jae Myung Kim, Gyu Ho Choi
  • Publication number: 20240106632
    Abstract: A processor-implemented method with homomorphic encryption includes: receiving a first ciphertext corresponding to a first modulus; generating a second ciphertext corresponding to a second modulus by performing modulus raising on the first ciphertext; and performing bootstrapping by encoding the second ciphertext using a commutative property and an associative property of operations included in a rotation operation.
    Type: Application
    Filed: November 28, 2023
    Publication date: March 28, 2024
    Applicants: Samsung Electronics Co., Ltd., Seoul National University R&DB Foundation, Industry Academic Cooperation Foundation, Chosun University
    Inventors: Jong-Seon NO, Yongwoo LEE, Young-Sik KIM
  • Publication number: 20240093982
    Abstract: The present invention relates to a chromatic confocal sensor based on a geometrical phase lens, and provides a chromatic confocal sensor that can confirm a height of a specimen and a location of a height measurement point through a configuration of a simple device.
    Type: Application
    Filed: October 12, 2023
    Publication date: March 21, 2024
    Applicants: Industry-Academic Cooperation Foundation, Chosun University, neXensor Inc.
    Inventors: Ki Nam JOO, Hyo Mi PARK, Ui Hyeok KWON, Joon Ho YOU
  • Patent number: 11909431
    Abstract: A capsule-type endoscope capable of two-way communication includes an RFID receiving antenna receiving an RFID signal, a first matching circuit for impedance matching with the RFID receiving antenna, a human body communication electrode comprised of a ground electrode and a signal electrode transmitting a signal for human body communication, and a second matching circuit for impedance matching with the human body communication electrode.
    Type: Grant
    Filed: December 10, 2020
    Date of Patent: February 20, 2024
    Assignee: Industry-Academic Cooperation Foundation, Chosun University
    Inventors: Youn Tae Kim, Jong Jin Baek, Ji Won Park, Min Gu Kang
  • Patent number: 11877852
    Abstract: An apparatus for classifying stress includes an electrocardiogram (ECG) measurement module configured to measure an ECG signal in a first state, an idle state, and an ECG signal in a second state in which noise, having various magnitudes, is generated, a feature point extraction module configured to extract a feature point of each of the measured ECG signal in the first state and the measured ECG signal in the second state, and a clustering module configured to perform K-means clustering on the ECG signals in the first and second states based on the extracted feature points to classify stress.
    Type: Grant
    Filed: November 16, 2021
    Date of Patent: January 23, 2024
    Assignee: Industry-Academic Cooperation Foundation, Chosun University
    Inventors: Youn Tae Kim, Jae Hyo Jung, Kyeung Ho Kang, Si Ho Shin, Min Gu Kang