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Akademický článek

Implementation of a rapid metro system utilizing the existing infrastructures and high-performance trains

Autor: Kyeongjun Ko, Jungtai Kim, Jaesung Hong, Moosun Kim

Publikováno v: Alexandria Engineering Journal, Vol 106, Iss , Pp 217-226 (2024)

The demand for rapid metro systems has been increasing steadily because of the continuous need to increase the scheduled speed of trains. However, some metro routes currently operating in South Korea were built a long time ago, without considering th

Externí odkaz: https://doaj.org/article/cc4f462d5eb3402098a474407c1bd005

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Akademický článek

A Preliminary Study on 2D Convolutional Neural Network-Based Discontinuous Rail Position Classification for Detection on Rail Breaks Using Distributed Acoustic Sensing Data

Autor: Hye-Yeun Chun, Jungtai Kim, Dongkue Kim, Ilmu Byun, Kyeongjun Ko

Publikováno v: IET Electrical Systems in Transportation, Vol 2024 (2024)

Rail breaks, which are crucial maintenance issues for the railways, require immediate inspection and maintenance as it can cause severe railway accidents. Though, it is still difficult to promptly detect rail breaks that occur during train operation

Externí odkaz: https://doaj.org/article/bc1083cc10dd45fda49d44a7a06ae0f4

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Akademický článek

On the Design of Tailored Neural Networks for Energy Harvesting Broadcast Channels: A Reinforcement Learning Approach

Autor: Heasung Kim, Jungtai Kim, Wonjae Shin, Heecheol Yang, Nayoung Lee, Seong Jin Kim, Jungwoo Lee

Publikováno v: IEEE Access, Vol 8, Pp 179678-179691 (2020)

In this paper, we consider a power allocation optimization technique for a time-varying fading broadcast channel in energy harvesting communication systems, in which a transmitter with a rechargeable battery transmits messages to receivers using the

Externí odkaz: https://doaj.org/article/1047a78f27ef4340926aef2b1450edef

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