Accès ouvert
2025
article
OpenAlex
H. T. Tai, Yong‐Hwa Kim, Le Tien Dung
The integration of Information and Communication Technology (ICT) into Operational Technology (OT) environments in modern substations has heightened cybersecurity risks. Effective Intrusion Detection Systems (IDS) are essential, yet current supervised learning methods struggle due to the scarcity and unreliability of labeled attack …
kr, vn
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Van Nghia Ha, Young-Woo Youn, Hyeon-Soo Choi, Hong Nhung Nguyen et autres
Deep learning-based models have achieved considerable success in partial discharge (PD) fault diagnosis for power systems, enhancing grid asset safety and improving reliability. However, traditional approaches often rely on centralized training, which demands significant resources and fails to account for the impact …
kr
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Ho Trong Tai, Young-Woo Youn, Hyeon-Soo Choi, Yong‐Hwa Kim
Deep neural networks have proven to be highly efficient in fault detection and classification using partial discharges (PDs) in gas-insulated switchgear (GIS). However, previous studies have not fully addressed the issue of limited labeled training data, which significantly impacts the performance of …
kr
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Aydin Zaboli, Yong‐Hwa Kim, Junho Hong
Security incidents in digital substations can create notable difficulties for the consistent and stable functioning of power systems. To address these issues, implementing defense and mitigation strategies is essential. Identifying and detecting irregularities in information and communication technology (ICT) is vital to …
us, kr
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Accès ouvert
2025
article
OpenAlex
Hong Nhung Nguyen, Yong‐Hwa Kim
The recognition of driver behavior is critical for enhancing road safety, with a particular focus on monitoring driver attention. Radar-based recognition systems offer distinct advantages over traditional computer vision methods, including enhanced user privacy, reduced power consumption, and greater flexibility in sensor …
kr
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Accès ouvert
2025
article
OpenAlex
Young-Woo Youn, In-Chang You, Ho Trong Tai, Sang-Min Lee et autres
Partial discharge (PD) detection and classification are essential to ensure the reliability of gas-insulated switchgear (GIS). However, conventional deep learning approaches require extensive labeled data, which are expensive and time-consuming to obtain. To address this challenge, we propose a novel semi-supervised learning …
kr
(code pays fourni par la source)
2024
conference-paper
OpenAlex
Ho Trong Tai, Young-Woo Youn, Hyeon-Soo Choi, Yong‐Hwa Kim
Deep neural networks have shown remarkable efficacy for partial discharge (PD) faults classification in power systems, playing a crucial role in the maintenance of electrical equipment. However, when labeled data for fault classification is insufficient in power systems, the performance of existing …
kr
(code pays fourni par la source)
Accès ouvert
2024
article
OpenAlex
Hong Nhung Nguyen, Mansi Girdhar, Yong‐Hwa Kim, Junho Hong
Digital substations have adopted a high amount of information and communication technology (ICT) and cyber–physical systems (CPSs) for monitoring and control. As a result, cyber attacks on substations have been increasing and have become a major concern. An intrusion-detection system (IDS) could …
kr, us
(code pays fourni par la source)
Accès ouvert
2024
article
OpenAlex
Jae‐Yoon Park, Yong‐Hwa Kim, Chihyun Cho, Jaeyul Choo
Abstract This paper presents the deep neural network‐based infinitesimal dipole model using either near‐ or far‐field radiation patterns. Based on the radiating characteristic of an infinitesimal dipole, we generated a data set including near and far field radiation patterns corresponding to the …
kr
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Accès ouvert
2024
article
OpenAlex
Ngoc-Long Nguyen, Anh‐Tu Le, Phuong-Loan T. Nguyen, Bùi Vũ Minh et autres
In this paper, we investigate a novel power beacon (PB)-aided wireless sensor-powered non-orthogonal multiple-access (NOMA) Internet-of-Things (IoT) network under imperfect channel state information (CSI). Furthermore, the exact expression outage probability (OP) of two IoT users is derived to analyze the performance of …
vn, cz, kr
(code pays fourni par la source)
Accès ouvert
2024
article
OpenAlex
Vo-Nguyen Tuyet-Doan, Young-Woo Youn, Hyun-Soo Choi, Yong‐Hwa Kim
Recently, deep neural networks have shown remarkable success in fault diagnosis in power systems using partial discharges (PDs), thereby enhancing grid asset safety and reliability. However, the prevailing approaches often adopt centralized large-scale datasets for training, without taking into account the impact …
kr
(code pays fourni par la source)
Accès ouvert
2024
article
OpenAlex
Ho Trong Tai, Young-Woo Youn, Hyeon-Soo Choi, Yong‐Hwa Kim
Effective monitoring and diagnosis of partial discharge (PD) in power equipment are crucial for maintenance, particularly given the expectations of significant increases in energy generation and consumption. Although deep neural networks have been widely applied in PD fault detection and classification, their …
kr
(code pays fourni par la source)