Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Jihwan Moon"'
Autor:
Jihwan Moon
Publikováno v:
ICT Express, Vol 10, Iss 2, Pp 412-417 (2024)
In this paper, we study covert communications strategies in a compress-and-forward (CF) relay system. Along with a public message to a destination node via a CF relay, a source node attempts to transmit a covert message while evading the surveillance
Externí odkaz:
https://doaj.org/article/5c34d3fa7c8549f6b8f3f923ebe9371c
Publikováno v:
IEEE Access, Vol 12, Pp 128702-128716 (2024)
This paper addresses the fair distribution of available energy (AE) in a massive multiple-input multiple-output (mMIMO) simultaneous wireless information and power transfer (SWIPT) sensor network, where sensor nodes are equipped with low-resolution a
Externí odkaz:
https://doaj.org/article/af432d6920db4ac8a6fa71f1df7bd9cb
Publikováno v:
IEEE Access, Vol 12, Pp 4301-4314 (2024)
Federated learning (FL) is a decentralized machine learning (ML) method that enables model training while preserving privacy. FL is gaining attention because it avoids data transfer to the server, facilitating the decentralized learning of the tradit
Externí odkaz:
https://doaj.org/article/219a9df388fd432298a5ccc917ae0258
Autor:
Jihwan Moon
Publikováno v:
Sensors, Vol 24, Iss 20, p 6518 (2024)
In this paper, we study covert communications in a hybrid decode-and-forward (DF)/ amplify-and-forward (AF) relay system. The considered relay in normal operation forwards messages from a source node to a destination node in either DF or AF mode on r
Externí odkaz:
https://doaj.org/article/8766929b7c8a4bb18745ed1c3278b83b
Publikováno v:
Information, Vol 15, Iss 7, p 409 (2024)
Memristor crossbars offer promising low-power and parallel processing capabilities, making them efficient for implementing convolutional neural networks (CNNs) in terms of delay time, area, etc. However, mapping large CNN models like ResNet-18, ResNe
Externí odkaz:
https://doaj.org/article/c074f194942f460eb2d3468a0edb6a73
Publikováno v:
IEEE Access, Vol 11, Pp 47212-47222 (2023)
Federated learning (FL) that can train using machine learning methods without moving data have attracted interest owing to the focus on data privacy. Several FL platforms and frameworks are being developed with various open datasets. However, FL has
Externí odkaz:
https://doaj.org/article/14b34782302f420591cf7fd61b38a271
Autor:
Jihwan Moon
Publikováno v:
Sensors, Vol 23, Iss 21, p 8747 (2023)
In this paper, we investigate the performance of covert communications in different types of a relay system: decode-and-forward (DF), compress-and-forward (CF) and amplify-and-forward (AF). We consider a source node that attempts to send both public
Externí odkaz:
https://doaj.org/article/1997ca3d8d8c4ea4a5c5c6a6e126ef79
Autor:
Jihwan Moon
Publikováno v:
Sensors, Vol 23, Iss 14, p 6515 (2023)
Covert communications have arisen as an effective communications security measure that overcomes some of the limitations of cryptography and physical layer security. The main objective is to completely conceal from external devices the very existence
Externí odkaz:
https://doaj.org/article/d0d3c5b856cc443db6c46247703f8209
Publikováno v:
IEEE Internet of Things Journal. 9:22983-22992
Autor:
Hyejoo, Lee, Jiyun, Kim, Jihwan, Moon, Sangyeop, Jung, Younhwan, Jo, Byeongmin, Kim, Eunseo, Ryu, Sangwoo, Bahn
Publikováno v:
Work. 73:777-786
BACKGROUND: In early 2020, the coronavirus 2019 (COVID-19) pandemic necessitated changes in social behavior to prevent its spread, including holding online classes, implementing social distancing, and allowing employees to telecommute. However, these