Geunbo Yang
Geunbo Yang received his BS degree in Computer Engineering from Kwangwoon University in seoul, South Korea.
His research interests include machine learning algorithms, and SNN.
Journal Article
Unsupervised Spiking Neural Network with Dynamic Learning of Inhibitory Neurons
G Yang, W Lee, Y Seo, C Lee, W Seok, J Park, D Sim, C Park, “Unsupervised Spiking Neural Network with Dynamic Learning of Inhibitory Neurons”, MDPI Sensors, 2023, 7232, IF=3.847.
Intelligent Feature Selection for ECG-Based Personal Authentication Using Deep Reinforcement Learning
S Baek, J Kim, H Yu, G Yang, I Sohn, Y Cho, C Park, “Intelligent Feature Selection for ECG-Based Personal Authentication Using Deep Reinforcement Learning”, MDPI Sensors, 2023, IF=3.847.
GAN-based patient information hiding for an ECG authentication system
Y Kang, G Yang, H Eom, S Han, S Baek, S Noh, Y Shin, C Park, “GAN-based patient information hiding for an ECG authentication system”, Biomedical Engineering Letters, 2023, 197-297, IF=3.92.
Classification using a Spiking Neural Network: A Review
Y Park, U Sunarya, G Yang, C Lee, J Baek, S Baek, C Park, “Classification using a Spiking Neural Network: A Review”, IEIE Transaction on Smart Processing & Computing, 2023, 64-71.
Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning
J Kim, G Yang, J Kim, S Lee, KK Kim, C Park,
“Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning”, MDPI Sensors 2021, 21, 1568, IF=3.735.
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Communications
Supervise-based Random Sampled Spike Encoding Algorithm for Image Classification in Deep Spiking Neural Networks
양근보, 강영신, 박철수, “Supervise-based Random Sampled Spike Encoding Algorithm for Image Classification in Deep Spiking Neural Networks”, 대한의용생체공학회 춘계학술대회, May, 2023, 244-245.
Implementation of spiking neural network Using dynamic learning of Inhibition neurons
양근보, 박철수, “Implementation of spiking neural network Using dynamic learning of Inhibition neurons”, 대한전자공학회 학술대회, June, 2022, 879-881.
ECG-Based Heart Rate Estimation Using SVR with Spiking Neural Network
이충섭, 양근보, 박철수, “ECG-Based Heart Rate Estimation Using SVR with Spiking Neural Network”, 대한전자공학회 학술대회, June, 2022, 852-855.
Patent
몽유병을 감지하는 엣지 디바이스
박철수, 양근보, 이충섭, 출원번호: 10-2022-0164099, 출원일자: 2022.12
확률 모델에 기반한 손상된 시계열 생체 신호의 복원 방법
박철수, 이지운, 양근보, 출원번호: 10-2022-0189990, 출원일자: 2022.12
사용자 인증 장치 및 방법
박철수, 양근보, 김준모, 출원번호: 10-2019-0179392, 출원일자: 2019.12
Jiseok Yang
Jiseok Yang received his BS degree in Department of Industrial Information System Engineering from Jeonbuk University in Jeonju, South Korea. His research interests include machine learning, Deep learning, GNN, Datamining
Journal Article
Design of Metaverse Rental Car Price Prediction Method Through Machine Learning Techniques
Jiseok Yang, Hanwoong Ryu, Jiwoon Lee, Jihong Lee, Cheolsoo Park, “Design of Metaverse Rental Car Price Prediction Method Through Machine Learning Techniques“, Journal of Broadcast Engineering, Jan 2024
Communications
Real-Time Anomaly Detection in Industrial Cyber-Physical Systems Using Deep Learning based Bidirectional GRU
D. Kwon, Y. Kang, and J. Yang, and C. Park, “Real-Time Anomaly Detection in Industrial Cyber-Physical Systems Using Deep Learning based Bidirectional GRU”, IEIE Artificial Intelligence and Signal Processing, Sep 2023, pp. 239-241
Metaverse: Research Based Prediction Model of the Car Price in view of the Machine-learning Method
Jiseok Yang, Jinseok Kim, Jiwoon Lee, Hanwoong Ryu, Seonghyeok Yeo, Panjung Kim, Yoonki Kim, Jiyeun Lim, Hyunjoon Yoon, Cheolsoo Park, “Metaverse: Research Based Prediction Model of the Car Price in the view of the Machine-learning Method”, IEEE International Conference on Metaverse Computing, Networking and Applications (IEEE MetaCom 2023), Jun 2023, Kyoto, Japan
Patent
LLM 기반 차량 추천 시스템
박철수, 양지석, 류한웅
출원번호: 10-2023-0190509
출원일자: 2022.12.22
출원국가: 대한민국
Jihong Lee
Jihong Lee received her BS degree in Computer Engineering from Kwangwoon University in seoul, South Korea. Her research interests include bio-medical signal processing, reinforcement learning and deep learning algorithms.
Journal Article
Design of Metaverse Rental Car Price Prediction Method Through Machine Learning Techniques
Jiseok Yang, Hanwoong Ryu, Jiwoon Lee, Jihong Lee, Cheolsoo Park, “Design of Metaverse Rental Car Price Prediction Method Through Machine Learning Techniques“, Journal of Broadcast Engineering, Jan 2024
Communications
혈압추정모델의 성능향상을 위한 강화학습 모델
이지홍, 박철수, “혈압추정모델의 성능향상을 위한 강화학습 모델”, 대한의용생체공학회 춘계학술대회, May, 2023
A Reinforcement Learning Approach to Determine the Calibration Interval of a Blood Pressure Prediction Model
윤성민, 이지홍, 류한웅, 박철수, “A reinforcement Learning Approach to Determine the Calibration Interval of a Blood Pressure Prediction Model”, 대한의용생체공학회 추계학술대회, Nov 2023, Seoul, Korea
Yusang Nam
Yusang Nam received his BS degree in Electrical Engineering from Kwangwoon University in Seoul, South Korea. His research interests include Computer Vision, Reinforcement Learning and Spiking Neural Networks.
Journal Article
Communications
HR Prediction using Quaternion Convolutional Neural Networks from Video
이정환, 남유상, 박철수, “HR Prediction using Quaternion Convolutional Neural Networks from Video”, 대항생체의공학회 춘계학술대회, May, 2022
Prediction of Heart Rate and SpO2 in Facial Videos using Quaternion-based Convolutional Neural Networks
이정환, 남유상, 박철수, “Prediction of Heart Rate and SpO2 in Facial Videos using Quaternion-based Convolutional Neural Networks”, 대한생체의공학회 추계학술대회, Oct, 2023
Award
우수상
얼굴 영상을 이용한 실시간 심박수 추정 시스템, 신산업융합형임베디드시스템 전문인력양성사업 지능정보시스템 플랫폼 분야 “실무역량강화 성과활용워크샵”, 남유상, 양근보, 이지홍, 박철수, Nov, 2023.
우수 논문상
“HR Prediction using Quaternion Convolutional Neural Networks from Video”, 남유상, 이정환, 박철수, 대한생체의공학회 추계학술대회, May, 2023
Patent
Autoencoder를 이용한 SNN 인코더 학습 방법
박철수, 남유상
출원번호: 10-2022-0191192
출원일자: 2022년 12월 30일
Yoontae Park
Yoontae Park received his BS degree in Computer Engineering from Kwangwoon University in Seoul, South Korea. His research interests include machine learning algorithms, Deep learning, and Reinforcement Learning
Journal Article
Communications
Classfication using a Spiking Neural Network:A Review
Yoontae Park, Unang Sunarya, Geunbo Yang, Choongseop Lee, Jaewoo Baek, Suwhan Baek, Cheolsoo Park, “Classification using a Spiking Neural Network:A Review” , IEIESPC 2023-02(vol.12 No.01)
Dongwook Kwon
Dongwook Kwon received his BS degree in Electronics & Communications Engineering from Kwangwoon University in Seoul, South Korea. His research interests include deep learning, anmaly detection algorithim, computer vision.
Journal Article
Communication
Enhancing Medical Device Security with GNN-GRU Anomaly Detection Model
D. Kwon, Y. Kang, and C. Park, “Enhancing Medical Device Security with GNN-GRU Anomaly Detection Model,” The Korean Society of Medical & Biological Engineering, Nov 2023.
Real-Time Anomaly Detection in Industrial Cyber-Physical Systems Using Deep Learning based Bidirectional GRU
D. Kwon, Y. Kang, J. Yang, and C. Park, “Real-Time Anomaly Detection in Industrial Cyber-Physical Systems Using Deep Learning based Bidirectional GRU,” IEIE Artificial Intelligence and Signal Processing, Sep 2023, pp. 239-241.
Analysis of Reconstruction-Based Multivariate ECG Time-Series Data for Arrhythmia Diagnosis
D. Kwon, Y. Kang, and C. Park, “Analysis of Reconstruction-Based Multivariate ECG Time-Series Data for Arrhythmia Diagnosis,” The Korean Society of Medical & Biological Engineering, Nov 2022, pp.425-426.
Award
영상처리를 활용한 스마트 항만 관리에 대한 연구 (2021)
2021 스마트 해상물류 프로젝트 경진대회 금상[장관상] 수상
Research of Smart Kitchen IoT System Using Computer Vision & Deep Learning (2021)
2021 MY(Multi-Y)캡스톤 디자인 경진대회 최우수상[총장상] 수상
AI 해커톤 (2021)
2021 AI 해커톤 장려상 수상