Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Yong‐gi Hong"'
Publikováno v:
IET Radar, Sonar & Navigation, Vol 16, Iss 5, Pp 885-895 (2022)
Abstract When micro‐Doppler (MD) radars are distributed, a federated learning strategy over wireless backhaul links is developed for motion classification. Specifically to identify the human motion, a common convolutional neural network (CNN) model
Externí odkaz:
https://doaj.org/article/6bf93b56b01d4b8fb9a7f4a0801f4ae3
Publikováno v:
IET Radar, Sonar & Navigation, Vol 15, Iss 10, Pp 1209-1220 (2021)
Abstract Deep‐learning‐based radar imaging is developed with distributed frequency modulated continuous waveform multiple‐input multiple‐output (FMCW MIMO) radars in which a deep‐learning approach based on the convolutional neural network (
Externí odkaz:
https://doaj.org/article/fc4f8a79bee4473baf74c1cdc4cfa924
Distributed beamforming with one‐bit feedback and clustering for multi‐node wireless energy transfer
Publikováno v:
ETRI Journal, Vol 43, Iss 2, Pp 221-231 (2021)
AbstractTo resolve energy depletion issues in massive Internet of Things sensor networks, we developed a set of distributed energy beamforming methods with one‐bit feedback and clustering for multi‐node wireless energy transfer, where multiple si
Externí odkaz:
https://doaj.org/article/7c471e547c454f82a4da0e5181819fa0
Publikováno v:
ETRI Journal, Vol 43, Iss 3, Pp 389-399 (2020)
In this paper, we propose one‐bit feedback‐based distributed beamforming (DBF) techniques for simultaneous wireless information and power transfer in interference channels where the information transfer and power transfer networks coexist in the
Externí odkaz:
https://doaj.org/article/12c84533fbad415093a84e00aa5b9415
Publikováno v:
Brain Sciences, Vol 11, Iss 3, p 293 (2021)
This study was to investigate the changes in brain function due to lack of oxygen (O2) caused by mouth breathing, and to suggest a method to alleviate the side effects of mouth breathing on brain function through an additional O2 supply. For this pur
Externí odkaz:
https://doaj.org/article/d5ed339bd219488a9e86fc52abb01a35
Publikováno v:
The Journal of Korean Institute of Electromagnetic Engineering and Science. 33:948-959
Publikováno v:
IET Radar, Sonar & Navigation, Vol 15, Iss 10, Pp 1209-1220 (2021)
Deep‐learning‐based radar imaging is developed with distributed frequency modulated continuous waveform multiple‐input multiple‐output (FMCW MIMO) radars in which a deep‐learning approach based on the convolutional neural network (CNN) is p
Publikováno v:
IEEE Systems Journal. 15:4623-4634
In this article, to get a high-resolution radar image with distributed frequency modulated continuous waveform multiple-input–multiple-output (FMCW MIMO) radar, Bayesian matching pursuit (BMP)-based imaging methods are proposed, in which the receiv
Distributed beamforming with one‐bit feedback and clustering for multi‐node wireless energy transfer
Publikováno v:
ETRI Journal, Vol 43, Iss 2, Pp 221-231 (2021)
To resolve energy depletion issues in massive Internet of Things sensor networks, we developed a set of distributed energy beamforming methods with one‐bit feedback and clustering for multi‐node wireless energy transfer, where multiple single‐a
Publikováno v:
ETRI Journal, Vol 43, Iss 3, Pp 389-399 (2020)
In this paper, we propose one‐bit feedback‐based distributed beamforming (DBF) techniques for simultaneous wireless information and power transfer in interference channels where the information transfer and power transfer networks coexist in the