Zobrazeno 1 - 10
of 225
pro vyhledávání: '"Le Chung Tran"'
Autor:
Juthatip Wisanmongkol, Attaphongse Taparugssanagorn, Le Chung Tran, Anh Tuyen Le, Xiaojing Huang, Christian Ritz, Eryk Dutkiewicz, Son Lam Phung
Publikováno v:
IET Wireless Sensor Systems, Vol 12, Iss 2, Pp 33-55 (2022)
Abstract The authors investigate the use of deep learning in wireless indoor localization to address the shortcomings of the existing range‐based (e.g. trilateration and triangulation) and range‐free (e.g. fingerprinting) localization. Instead of
Externí odkaz:
https://doaj.org/article/7010ae7ddc2a4e969f4b26a00a732f0c
Publikováno v:
IEEE Access, Vol 9, Pp 74989-75002 (2021)
In this paper, we investigate a two-hop communication system in which the source utilizes radio frequency (RF) energy harvesting for the transmission of information. An intermediate relay works in a half-duplex (HD) mode in the energy harvesting (EH)
Externí odkaz:
https://doaj.org/article/79a1c559056a4bc9bae74fe0ee2f036b
Publikováno v:
IEEE Access, Vol 9, Pp 158808-158819 (2021)
This paper proposes a Polarization-Enabled Digital Self-Interference Cancellation (PDC)-based Full-Duplex (FD) network with an energy-harvesting-enabled source and a Self-Energy Recycling (SER)-enabled relay. The fixed power supply at the relay is on
Externí odkaz:
https://doaj.org/article/fcf34488e76d41409f3857df224d3bfc
Publikováno v:
IEEE Access, Vol 8, Pp 150150-150161 (2020)
In this article, we consider a dual-hop full-duplex (FD), amplify-and-forward, orthogonal frequency division multiplexing (OFDM) relaying network, where the relay operates based on a time-switching architecture to harvest energy from radio frequency
Externí odkaz:
https://doaj.org/article/af61db5b83ec413481b9425331db537c
Autor:
Hoang Thanh Le, Son Lam Phung, Philip B. Chapple, Abdesselam Bouzerdoum, Christian H. Ritz, Le Chung Tran
Publikováno v:
IEEE Access, Vol 8, Pp 94126-94139 (2020)
With the advances in sonar imaging technology, sonar imagery has increasingly been used for oceanographic studies in civilian and military applications. High-resolution imaging sonars can be mounted on various survey platforms, typically autonomous u
Externí odkaz:
https://doaj.org/article/a5195fcc847746e18ae97422a7b1113a
Publikováno v:
Sensors, Vol 22, Iss 21, p 8472 (2022)
In this paper, human step length is estimated based on the wireless channel properties and the received signal strength indicator (RSSI) method. The path loss between two ankles, called the on-ankle path loss, is converted from the RSSI, which is mea
Externí odkaz:
https://doaj.org/article/af4944b9cb054a1c8401098899f22a53
Publikováno v:
Sensors, Vol 22, Iss 4, p 1640 (2022)
In this paper, human step length was estimated based on wireless channel properties and the received signal strength indicator (RSSI) method. Path loss between two ankles of the person under test was converted from the RSSI, which was measured using
Externí odkaz:
https://doaj.org/article/d589c55c9c6b4e1fafce05d6b229ef56
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-17 (2018)
Abstract As a promising technology in the context of m-health and e-medical, wireless body area networks (WBANs) have a stringent requirement in terms of transmission reliability. Meanwhile, the wireless channel in WBANs is prone to deep fading due t
Externí odkaz:
https://doaj.org/article/c47297bd6d8143f99a743727f9795bc7
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:10683-10693
Publikováno v:
Sensors, Vol 21, Iss 2, p 382 (2021)
In this paper, portable transceivers with micro-controllers and radio frequency modules are developed to measure the received signal strength, path loss, and thus the distance between the human ankles for both indoor and outdoor environments. By comp
Externí odkaz:
https://doaj.org/article/8ea6d99e34624bf8a503ec032f7a3e9c