Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Takeru Fukushima"'
Autor:
Takeru Fukushima, Tomoki Murakami, Hirantha Abeysekera, Takuya Fujihashi, Takashi Watanabe, Shunsuke Saruwatari
Publikováno v:
IEEE Access, Vol 10, Pp 49128-49141 (2022)
Wireless local area network (WLAN)-based localization is key for advanced indoor Internet-of-Things and embedded sensor applications. To further improve the accuracy of indoor localization, attention has been focused on WLAN-based indoor localization
Externí odkaz:
https://doaj.org/article/b04bf3ba266b43539f072d5713052b9d
CSI2Image: Image Reconstruction From Channel State Information Using Generative Adversarial Networks
Autor:
Sorachi Kato, Takeru Fukushima, Tomoki Murakami, Hirantha Abeysekera, Yusuke Iwasaki, Takuya Fujihashi, Takashi Watanabe, Shunsuke Saruwatari
Publikováno v:
IEEE Access, Vol 9, Pp 47154-47168 (2021)
This study aims to determine the upper limit of the wireless sensing capability of acquiring physical space information. This is a challenging objective because, at present, wireless sensing studies continue to succeed in acquiring novel phenomena. T
Externí odkaz:
https://doaj.org/article/0ea1c7ef0de94b20a3c4dcaab9461c72
Publikováno v:
Materials Transactions; 2023, Vol. 64 Issue 10, p2440-2444, 5p
Publikováno v:
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring).
Publikováno v:
Journal of Physics: Conference Series. 2461:012001
Non-equilibrium Pd–Ru alloys were synthesized by leaching quasicrystal (icosahedral quasicrystal, IQC: Al71Pd19Ru10) and approximants (3/2 approximant, P40: Al72Pd16.4Ru11.6, 1/1 approximant, C1: Al70.4Pd14.7Ru14.9) of Al–Pd–Ru alloys with 20 w
CSI2Image: Image Reconstruction from Channel State Information Using Generative Adversarial Networks
Autor:
Tomoki Murakami, Hirantha Abeysekera, Sorachi Kato, Takeru Fukushima, Takashi Watanabe, Shunsuke Saruwatari, Takuya Fujihashi, Yusuke Iwasaki
Publikováno v:
IEEE Access, Vol 9, Pp 47154-47168 (2021)
This study aims to find the upper limit of the wireless sensing capability of acquiring physical space information. This is a challenging objective, because at present, wireless sensing studies continue to succeed in acquiring novel phenomena. Thus,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70ad3fbbe00cc1000f3e3f3075a630e9
Autor:
Takeru Fukushima, Shunsuke Saruwatari, Takashi Watanabe, Hirantha Abeysekera, Tomoki Murakami
Publikováno v:
VTC Spring
There is a demand for device-free user location estimation with high accuracy in order to realize various indoor applications. This paper proposes an IEEE 802.11ac explicit feedback-based channel state information (CSI) learning system which can be u