Zobrazeno 1 - 10
of 300
pro vyhledávání: '"Jong-wha Chong"'
Publikováno v:
ETRI Journal, Vol 40, Iss 5, Pp 664-676 (2018)
Given the rapidly increasing market penetration of photovoltaic (PV) systems in many fields, including construction and housing, the effective maintenance of PV systems through remote monitoring at the panel level has attracted attention to quickly d
Externí odkaz:
https://doaj.org/article/f75c211f46cd424ba9da6a0c43c11c66
Publikováno v:
Sensors, Vol 18, Iss 12, p 4171 (2018)
In this work, a 24-GHz frequency-modulated continuous-wave (FMCW) radar system with two sectoral horn antennas and one transmitting lens antenna for long-range drone detection is presented. The present work demonstrates the detection of a quadcopter-
Externí odkaz:
https://doaj.org/article/b6368b78f6c04725b07ad19a35262572
Publikováno v:
Sensors, Vol 18, Iss 1, p 311 (2018)
This article deals with the development of a dual channel S-Band frequency-modulated continuous wave (FMCW) system for a through-the-wall imaging (TWRI) system. Most existing TWRI systems using FMCW were developed for synthetic aperture radar (SAR) w
Externí odkaz:
https://doaj.org/article/e656c2db784249409c93d58d3a0044e0
Autor:
Sangdeok Kim, Jong-Wha Chong
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
An efficient localization algorithm is proposed by utilizing the time difference of arrival (TDOA) without synchronization between base stations. Generally, a TDOA-based localization algorithm requires synchronization between base stations in order t
Externí odkaz:
https://doaj.org/article/e2751cf05eb84094a3a6865021b4073b
Autor:
Sangdeok Kim, Jong-Wha Chong
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
A chirp spread spectrum (CSS) transceiver architecture for IEEE 802.15.4a is proposed and implemented. In the transmitter, the size of the read-only memory that stores CSS signal samples for the chirp modulator is reduced by removing duplicate sample
Externí odkaz:
https://doaj.org/article/f45d8f6133df49aa93dca4791d743dc3
Publikováno v:
ETRI Journal, Vol 40, Iss 5, Pp 664-676 (2018)
Given the rapidly increasing market penetration of photovoltaic (PV) systems in many fields, including construction and housing, the effective maintenance of PV systems through remote monitoring at the panel level has attracted attention to quickly d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44496a4e5931bad1293aae4c555e68da
https://doaj.org/article/f75c211f46cd424ba9da6a0c43c11c66
https://doaj.org/article/f75c211f46cd424ba9da6a0c43c11c66
Autor:
Jong-Wha Chong, Sangdeok Kim
Publikováno v:
Wireless Personal Communications. 96:2341-2349
In this paper, a novel localization algorithm is proposed by utilizing the time difference of arrival (TDOA) with asynchronous base stations. Generally, a TDOA-based localization algorithm requires synchronization between base stations. Hence, correl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14e3680a68e45f3263acc167a4a7ab14
https://doi.org/10.1007/s11277-017-4301-5
https://doi.org/10.1007/s11277-017-4301-5
Autor:
Jong-Wha Chong, Kyeong-Yuk Min
Publikováno v:
Journal of IKEEE. 21:46-65
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8374e98ff6f0a9eb294abe3e093f2b8a
https://doi.org/10.7471/ikeee.2017.21.1.46
https://doi.org/10.7471/ikeee.2017.21.1.46
Autor:
Jong-Wha Chong, Tae Joon Kim, Ki-Young Jung, Gwangho Choi, Kyeong-Yuk Min, Chulkyun Park, HwangSik Bae, Junkyung Kim, Kyoungin Cho
Publikováno v:
ICCE
Accurate and timely detection of seizure activity during continuous EEG monitoring either in epilepsy monitoring unit or in neuro-intensive care unit is crucial for both physician and paramedical personnel. However, it is laborious work and required
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71575c74666bfc801ea2daea172cf830
https://doi.org/10.1109/icce.2019.8661969
https://doi.org/10.1109/icce.2019.8661969
Publikováno v:
ICCE
We propose a highly pipelined accelerator (HIPA) for the convolutional neural network (CNN). The CNN achieves remarkable performance in computer vision application with high computational power and low energy efficiency than conventional algorithms.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d69a6834a1a4869d69dcb341ac0c09e
https://doi.org/10.1109/icce.2019.8662040
https://doi.org/10.1109/icce.2019.8662040