Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Motoyoshi Sekiya"'
Publikováno v:
IEEE Photonics Journal, Vol 8, Iss 5, Pp 1-8 (2016)
We propose a simplified analytical model for the estimation of nonlinearity mitigation using spectral inversion. We demonstrate excellent agreement between analytical model and numerical simulations within a standard deviation of 0.2 dB Q-factor for
Externí odkaz:
https://doaj.org/article/423ab47ec1d44a9fa5b3e08062ae1955
Publikováno v:
NetSoft
Federated learning is a distributed machine learning approach that can be applied to many networking applications. In this paper, we propose a novel blockchain-based secure aggregation protocol for federated learning, which simplifies the existing se
Publikováno v:
ICNP
In this demo, we demonstrate a novel blockchain based protocol for federated learning. We present the system architecture and describe the blockchain based protocol that seamlessly provides secure communication in federated learning with physically d
Autor:
Kazuyuki Tajima, Motoyoshi Sekiya, Takao Naito, Toru Katagiri, Inwoong Kim, Yutaka Takita, Paparao Palacharla, Qiong Zhang, Xi Wang, Tomohiro Hashiguchi
Publikováno v:
Optical Switching and Networking. 23:241-249
Emerging applications require datacenter networks to provide dynamic and reconfigurable services in order to adapt to the dynamicity of cloud traffic, as well as to maintain the optimality of resource utilization. In this paper, we demonstrate novel
Publikováno v:
IEEE Photonics Journal, Vol 8, Iss 5, Pp 1-8 (2016)
We propose a simplified analytical model for the estimation of nonlinearity mitigation using spectral inversion. We demonstrate excellent agreement between analytical model and numerical simulations within a standard deviation of 0.2 dB Q-factor for
Autor:
Motoyoshi Sekiya, Satoshi Imai, Masayuki Murata, Shin'ichi Arakawa, Koudai Kanda, Toru Katagiri
Publikováno v:
CCNC
A real-world sensing application, which senses and analyzes the situation in the real world via sensor devices, has attracted increasing attention for providing new services to mobile users. In this paper, for targeting the application, we propose a
Autor:
Masahiko Murakami, Akiko Yamada, Motoyoshi Sekiya, Makoto Murakami, Masafumi Katoh, Sumie Morita, Masaaki Kawai
Publikováno v:
ICOIN
Value of information to a person depends on the personality and personal condition called context. Now, we are challenging to model the relationship between the human profile, external/internal context and information input. In this paper, we propose
Autor:
Domenico Siracusa, Christophe Betoule, Masahiko Jinno, Motoyoshi Sekiya, Victor Lopez, Dimitrios Klonidis, Filippo Cugini, Gilles Thouenon, Ori Gerstel, Eleni Palkopoulou
Publikováno v:
IEEE Communications Magazine. 53:69-78
The advent of spectrally flexible (a.k.a. elastic) optical networking is widely identified as the next generation optical network solution that permits varying bandwidth demands to be dynamically assigned over flexible spectral containers, targeting
Autor:
Naoki Oguchi, Motoyoshi Sekiya
Publikováno v:
SoftCOM
Today, it seems more and more required to create network slices dynamically and on-demand due to the emergence of cloud services, 5G wireless and IoT technology. It becomes possible to create virtual networks over physical networks easily by using su
Autor:
Moshe Tur, Alan E. Willner, Changjing Bao, Martin M. Fejer, Fatemeh Alishahi, Youichi Akasaka, Morteza Ziyadi, Joseph D. Touch, Bishara Shamee, Ahmad Fallahpour, Ahmed Almaiman, Amirhossein Mohajerin-Ariaei, Mohammad Reza Chitgarha, Carsten Langrock, Jeng-yuan Yang, Peicheng Liao, Yinwen Cao, Motoyoshi Sekiya
Publikováno v:
Optics letters. 41(20)
Simultaneous phase noise mitigation and automatic phase/frequency-locked homodyne reception is demonstrated for a 20-32 Gbaud QPSK signal. A phase quantization function is realized to squeeze the phase noise of the signal by optical wave mixing of th