scispace - formally typeset
Search or ask a question
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
More filters
Journal ArticleDOI
TL;DR: In this article, the authors show how the orbital magnetoresistance changes as a function of both temperature and magnetic field strength, which is known as Bismuth's magnetic resonance. But their work is limited to the case of bismuth.
Abstract: Bismuth is known for its extremely mobile electrons whose capacity to conduct electricity is drastically diminished in the presence of magnetic fields. A new study shows how the orbital magnetoresistance changes as a function of both temperature and magnetic field strength.

66 citations

Journal ArticleDOI
Tie Liu1, Kee-Tae Kim1, Mika Juvela2, Ke Wang3  +165 moreInstitutions (58)
TL;DR: In this article, the initial conditions occurring during star formation and the evolution of molecular clouds, across a wide range of environments, are studied in a joint survey program targeting ~2000 Planck Galactic cold clumps (PGCCs) in J = 1-0 transitions of CO isotopologues and ~1000 PGCCs in 850 μm continuum emission.
Abstract: The low dust temperatures (<14 K) of Planck Galactic cold clumps (PGCCs) make them ideal targets to probe the initial conditions and very early phase of star formation. "TOP-SCOPE" is a joint survey program targeting ~2000 PGCCs in J = 1–0 transitions of CO isotopologues and ~1000 PGCCs in 850 μm continuum emission. The objective of the "TOP-SCOPE" survey and the joint surveys (SMT 10 m, KVN 21 m, and NRO 45 m) is to statistically study the initial conditions occurring during star formation and the evolution of molecular clouds, across a wide range of environments. The observations, data analysis, and example science cases for these surveys are introduced with an exemplar source, PGCC G26.53+0.17 (G26), which is a filamentary infrared dark cloud (IRDC). The total mass, length, and mean line mass (M/L) of the G26 filament are ~6200 M ☉, ~12 pc, and ~500 M ☉ pc−1, respectively. Ten massive clumps, including eight starless ones, are found along the filament. The most massive clump as a whole may still be in global collapse, while its denser part seems to be undergoing expansion owing to outflow feedback. The fragmentation in the G26 filament from cloud scale to clump scale is in agreement with gravitational fragmentation of an isothermal, nonmagnetized, and turbulent supported cylinder. A bimodal behavior in dust emissivity spectral index (β) distribution is found in G26, suggesting grain growth along the filament. The G26 filament may be formed owing to large-scale compression flows evidenced by the temperature and velocity gradients across its natal cloud.

66 citations

Book ChapterDOI
10 Jun 2006
TL;DR: This paper proposes a new parallel processing environment for matrix multiplications by using both CPUs and GPUs, and can be decreased to 40.1% by this method.
Abstract: GPUs for numerical computations are becoming an attractive alternative in research. In this paper, we propose a new parallel processing environment for matrix multiplications by using both CPUs and GPUs. The execution time of matrix multiplications can be decreased to 40.1% by our method, compared with using the fastest of either CPU only case or GPU only case. Our method performs well when matrix sizes are large.

66 citations

Journal ArticleDOI
TL;DR: A review of periodic and quasiperiodic VLF emissions observed at ground-based stations and in the Earth's magnetosphere is presented in this paper, where emissions with periods below 10 s are divided into three main groups: periodic emissions, hisslers and pulsing hiss.

66 citations

Proceedings Article
01 Nov 2012
TL;DR: It has been proved that co-occurrence statistics obtained from a food photo database is very helpful to improve the classification rate within the top ten candidates.
Abstract: In this paper, we propose a method to recognize food images which include multiple food items considering co-occurrence statistics of food items. The proposed method employs a manifold ranking method which has been applied to image retrieval successfully in the literature. In the experiments, we prepared co-occurrence matrices of 100 food items using various kinds of data sources including Web texts, Web food blogs and our own food database, and evaluated the final results obtained by applying manifold ranking. As results, it has been proved that co-occurrence statistics obtained from a food photo database is very helpful to improve the classification rate within the top ten candidates.

66 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
Network Information
Related Institutions (5)
Tokyo Institute of Technology
101.6K papers, 2.3M citations

93% related

Waseda University
46.8K papers, 837.8K citations

93% related

National Chiao Tung University
52.4K papers, 956.2K citations

90% related

NEC
57.6K papers, 835.9K citations

90% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202317
202258
2021644
2020815
2019908
2018837