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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.
Topics: Laser, Robot, Ion, Mobile robot, Fiber laser


Papers
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Journal ArticleDOI
TL;DR: Passively Q-switched laser-diode pumped nanosecond Nd3+:LuVO4 self-Raman laser operating at cascade down-converted frequency of the stimulated-emission deriving from the main generation 4F3/2 → 4I11/2 channel of neodymium ions has been demonstrated.
Abstract: Passively Q-switched laser-diode pumped nanosecond Nd3+:LuVO4 self-Raman laser operating at cascade down-converted frequency of the stimulated-emission deriving from the main generation 4F3/2 → 4I11/2 channel of neodymium ions has been demonstrated.

57 citations

Journal ArticleDOI
TL;DR: A BMI-based exoskeleton for paralyzed arms and hands using real-time control was realized by designing a new method to estimate joint angles based on EMG signals, and these may be useful for practical rehabilitation and the support of daily actions.
Abstract: Objective. Brain–machine interface (BMI) technologies have succeeded in controlling robotic exoskeletons, enabling some paralyzed people to control their own arms and hands. We have developed an exoskeleton asynchronously controlled by EEG signals. In this study, to enable real-time control of the exoskeleton for paresis, we developed a hybrid system with EEG and EMG signals, and the EMG signals were used to estimate its joint angles. Approach. Eleven able-bodied subjects and two patients with upper cervical spinal cord injuries (SCIs) performed hand and arm movements, and the angles of the metacarpophalangeal (MP) joint of the index finger, wrist, and elbow were estimated from EMG signals using a formula that we derived to calculate joint angles from EMG signals, based on a musculoskeletal model. The formula was exploited to control the elbow of the exoskeleton after automatic adjustments. Four able-bodied subjects and a patient with upper cervical SCI wore an exoskeleton controlled using EMG signals and were required to perform hand and arm movements to carry and release a ball. Main results. Estimated angles of the MP joints of index fingers, wrists, and elbows were correlated well with the measured angles in 11 able-bodied subjects (correlation coefficients were 0.81 ± 0.09, 0.85 ± 0.09, and 0.76 ± 0.13, respectively) and the patients (e.g. 0.91 ± 0.01 in the elbow of a patient). Four able-bodied subjects successfully positioned their arms to adequate angles by extending their elbows and a joint of the exoskeleton, with root-mean-square errors <6°. An upper cervical SCI patient, empowered by the exoskeleton, successfully carried a ball to a goal in all 10 trials. Significance. A BMI-based exoskeleton for paralyzed arms and hands using real-time control was realized by designing a new method to estimate joint angles based on EMG signals, and these may be useful for practical rehabilitation and the support of daily actions.

57 citations

Journal ArticleDOI
20 May 2020
TL;DR: In this article, a direct all-solid-state Z-scheme heterojunction photocatalyst of a g-C3N4-coated tree-like α-Fe2O3 was rationally constructed toward CO2 conversion.
Abstract: A direct all-solid-state Z-scheme heterojunction photocatalyst of a g-C3N4-coated tree-like α-Fe2O3 was rationally constructed toward CO2 conversion. The so-called artificial tree shows excellent p...

57 citations

Journal ArticleDOI
TL;DR: In this article, a wide field (0.17-deg2) and high-angular resolution (21''3 ~ 0.04-pc) observations were carried out in the [C I] line toward the Orion-A giant molecular cloud with the Atacama Submillimeter Telescope Experiment 10m telescope in the On-The-Fly mode.
Abstract: We have carried out wide-field (0.17 deg2) and high-angular resolution (21.''3 ~ 0.04 pc) observations in the [C I] line toward the Orion-A giant molecular cloud with the Atacama Submillimeter Telescope Experiment 10 m telescope in the On-The-Fly mode. The overall features of the [C I] emission are similar to those of the 12CO (J = 1-0) emission by Shimajiri et al. in 2011; the total intensity ratio of the [C I] to CO emission ranges from 0.05 to 0.2. The optical depth of the [C I] emission is found to be 0.1-0.75, suggesting optically thin emission. The column density of the [C I] emission is estimated to be (1.0-19) × 1017 cm–2. These results are consistent with the results of the previous [C I] observations with a low-angular resolution of 2.'2. In the nearly edge-on photon-dominated regions (PDRs) and their candidates of the Orion Bar, DLSF, M 43 Shell, and Region D, the distributions of the [C I] emission coincide with those of the 12CO emission, inconsistent with the prediction by the plane-parallel PDR model. In addition, the [C I] distribution in the Orion A cloud is found to be more similar to those of the 13CO (J = 1-0), C18O (J = 1-0), and H13CO+ (J = 1-0) lines than that of the 12CO (J = 1-0) line, suggesting that the [C I] emission is not limited to the cloud surface, but is tracing the dense, inner parts of the cloud.

57 citations

Journal ArticleDOI
TL;DR: A vehicle-to-roadside communication protocol based on distributed clustering where a coalitional game approach is used to stimulate the vehicles to join a cluster, and a fuzzy logic algorithm is employed to generate stable clusters by considering multiple metrics of vehicle velocity, moving pattern, and signal qualities between vehicles.
Abstract: We propose a vehicle-to-roadside communication protocol based on distributed clustering where a coalitional game approach is used to stimulate the vehicles to join a cluster, and a fuzzy logic algorithm is employed to generate stable clusters by considering multiple metrics of vehicle velocity, moving pattern, and signal qualities between vehicles. A reinforcement learning algorithm with game theory based reward allocation is employed to guide each vehicle to select the route that can maximize the whole network performance. The protocol is integrated with a multi-hop data delivery virtualization scheme that works on the top of the transport layer and provides high performance for multi-hop end-to-end data transmissions. We conduct realistic computer simulations to show the performance advantage of the protocol over other approaches.

57 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