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pro vyhledávání: '"Lee, Woong"'
Feasibility of using unlicensed spectrum for ultra reliable low latency communications (URLLC) is still a question for beyond 5G wireless networks. Low latency access to the channel and efficiently sharing spectrum among the multiple users are the ma
Externí odkaz:
http://arxiv.org/abs/2206.06978
Driving a deficient cathodic environment using anode to control selectivity for CO2 electroreduction
Autor:
Kim, Dogyeong, Han, Man Ho, Park, Jaeyong, Kim, Hyunchul, Bang, Hyeon-Seok, Yu, Seung-Ho, Choi, Jae-Young, Oh, Hyung-Suk, Lee, Woong Hee
Publikováno v:
In Journal of Power Sources 30 November 2024 621
Autor:
Ha, Min Gwan, Lim, Chulwan, Oh, Cheoulwoo, Kim, Hyunchul, Choi, Jae-Young, Lee, Woong Hee, Oh, Hyung-Suk
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496
Autor:
Lee, Woong Jin, Cho, Kyoungjoo, Lee, Dayoon, Lee, Seungmin, Jeon, Hyojae, Kim, Aaron Youngjae, Kim, Gyung Whan
Publikováno v:
In Biomaterials and Biosystems December 2024 16
Autor:
Lee, Woong-Hee, Sung, Ki Won
The sparsity of multipaths in the wideband channel has motivated the use of compressed sensing for channel estimation. In this letter, we propose a different approach to sparse channel estimation. We exploit the fact that $L$ taps of channel impulse
Externí odkaz:
http://arxiv.org/abs/2104.04215
Autor:
Li, Jingya, Nagalapur, Keerthi Kumar, Stare, Erik, Dwivedi, Satyam, Ashraf, Shehzad Ali, Eriksson, Per-Erik, Engström, Ulrika, Lee, Woong-Hee, Lohmar, Thorsten
Driven by increasing demands on connectivity to improve safety, situational awareness and operational effectiveness for first responders, more and more public safety agencies are realizing the need of modernization of their existing non-3GPP networks
Externí odkaz:
http://arxiv.org/abs/2103.02434
This letter introduces a new denoiser that modifies the structure of denoising autoencoder (DAE), namely noise learning based DAE (nlDAE). The proposed nlDAE learns the noise of the input data. Then, the denoising is performed by subtracting the rege
Externí odkaz:
http://arxiv.org/abs/2101.07937
Autor:
Oh, Cheoulwoo, Kim, Jiwon, Lim, Chulwan, Hwang, Yun Jeong, Choi, Jae-Young, Lee, Woong Hee, Park, Jong Hyeok, Oh, Hyung-Suk
Publikováno v:
In Applied Catalysis B: Environment and Energy 5 May 2025 364
Akademický článek
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This paper presents a computationally efficient technique for decomposing non-orthogonally superposed $k$ geometric sequences. The method, which is named as geometric sequence decomposition with $k$-simplexes transform (GSD-ST), is based on the conce
Externí odkaz:
http://arxiv.org/abs/1910.14412