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Institution

University of Electro-Communications

EducationTokyo, Japan
About: University of Electro-Communications is a education organization based out in Tokyo, Japan. It is known for research contribution in the topics: Laser & Robot. The organization has 8041 authors who have published 16950 publications receiving 235832 citations. The organization is also known as: UEC & Denki-Tsūshin Daigaku.


Papers
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Proceedings ArticleDOI
04 Apr 2018
TL;DR: This novel realistic medical image generation approach shows that GANs can generate 128 χ 128 brain MR images avoiding artifacts, and even an expert physician was unable to accurately distinguish the synthetic images from the real samples in the Visual Turing Test.
Abstract: In medical imaging, it remains a challenging and valuable goal how to generate realistic medical images completely different from the original ones; the obtained synthetic images would improve diagnostic reliability, allowing for data augmentation in computer-assisted diagnosis as well as physician training. In this paper, we focus on generating synthetic multi-sequence brain Magnetic Resonance (MR) images using Generative Adversarial Networks (GANs). This involves difficulties mainly due to low contrast MR images, strong consistency in brain anatomy, and intra-sequence variability. Our novel realistic medical image generation approach shows that GANs can generate 128 χ 128 brain MR images avoiding artifacts. In our preliminary validation, even an expert physician was unable to accurately distinguish the synthetic images from the real samples in the Visual Turing Test.

216 citations

Journal ArticleDOI
TL;DR: It is clarified that the large extra capacity of ordered Na2 RuO3 is enabled by a spontaneously ordered intermediate Na1RuO3 phase with ilmenite O1 structure, which induces frontier orbital reorganization to trigger the oxygen redox reaction, unveiling a general requisite for the stable oxygen redOx reaction in high-capacity Na2MO3 cathodes.
Abstract: Sodium-excess metal oxides Na2MO3 are appealing cathode materials for sodium-ion batteries. Here, the authors demonstrate that honeycomb-type cation ordering in Na2RuO3 triggers the oxygen redox reaction via frontier orbital reorganization, increasing the capacity by 1/3 compared with disordered Na2RuO3.

215 citations

Journal ArticleDOI
22 Oct 1992-Nature
TL;DR: It is suggested that a looser subunit interaction in transducin which is due to an abundance of N-linked fatty acids other than myristate would favour the rapid turnover and catalysis essential for the visual excitation in photoreceptor cells.
Abstract: MYRISTATE is a fatty acid (fourteen-carbon chain with no double bonds, C14:0) linked to the amino-terminal glycine of several proteins1–7, including α-subunits of heterotrimeric (α/βγ) G proteins8,9. We report here a novel modification at the N terminus of the α-subunit of the photoreceptor G protein transducin, Tα, with heterogeneous fatty acids composed of laurate (C12:0), unsaturated C14:2 and C14:1 fatty acids, and a small amount (∼5%) of myristate. Both the GTPase activity of Tα/Tβγ and the T/βγ-dependent ADP-ribosylation of Tα catalysed by pertussis toxin were inhibited by the lauroylated and myristoylated N-terminal peptide of Tα. The myristoylated peptide gave 50% inhibition at a 3.5 to ∼4.5-fold lower concentration than the lauroylated peptide in each assay, indicating that the strength of the interaction between Tα and Tβγ is altered by heterogeneous fatty acids linked to Tα. This suggests that a looser subunit interaction in transducin which is due to an abundance of N-linked fatty acids other than myristate would favour the rapid turnover and catalysis essential for the visual excitation in photoreceptor cells.

214 citations

Journal ArticleDOI
TL;DR: A taxonomy of edge computing in 5G is established, which gives an overview of existing state-of-the-art solutions of edge Computing in5G on the basis of objectives, computational platforms, attributes, 5G functions, performance measures, and roles.
Abstract: 5G is the next generation cellular network that aspires to achieve substantial improvement on quality of service, such as higher throughput and lower latency. Edge computing is an emerging technology that enables the evolution to 5G by bringing cloud capabilities near to the end users (or user equipment, UEs) in order to overcome the intrinsic problems of the traditional cloud, such as high latency and the lack of security. In this paper, we establish a taxonomy of edge computing in 5G, which gives an overview of existing state-of-the-art solutions of edge computing in 5G on the basis of objectives, computational platforms, attributes, 5G functions, performance measures, and roles. We also present other important aspects, including the key requirements for its successful deployment in 5G and the applications of edge computing in 5G. Then, we explore, highlight, and categorize recent advancements in edge computing for 5G. By doing so, we reveal the salient features of different edge computing paradigms for 5G. Finally, open research issues are outlined.

214 citations

Journal ArticleDOI
TL;DR: In this paper, microstructure and microtexture evolution during dynamic recrystallization (DRX) was investigated in compression of polycrystalline copper in the temperature range from 473 K to 723 K and at strain rates from 10−3s−1 to 10−1 s−1.
Abstract: Microstructure and microtexture evolution during dynamic recrystallization (DRX) was investigated in compression of polycrystalline copper in the temperature range from 473 K to 723 K and at strain rates from 10−3s−1 to 10−1s−1. A compression texture of near 〈101〉 direction, evolved by low temperature deformation, is gradually weakened and randomized by the progress of DRX at higher temperature, where 〈101〉 component still exists. New DRX grains are evolved by the operation of bulging of serrated grain boundaries, which is accompanied either by rotation of a bulged portion or twinning at the back of the migrating boundary. The mechanisms of dynamic nucleation and necklace DRX are discussed.

213 citations


Authors

Showing all 8079 results

NameH-indexPapersCitations
Mildred S. Dresselhaus136762112525
Matthew Nguyen131129184346
Juan Bisquert10745046267
Dapeng Yu9474533613
Riichiro Saito9150248869
Shun-ichi Amari9049540383
Shigeru Nagase7661722099
Ingrid Verbauwhede7257521110
Satoshi Hasegawa6970822153
Yu Qiao6948429922
Yukio Tanaka6874419942
Zhijun Li6861414518
Iván Mora-Seró6723523229
Kazuo Tanaka6353527559
Da Xing6362414766
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202317
202258
2021644
2020815
2019908
2018837