A5075783559- Magnetic confinement fusion research
- Ionosphere and magnetosphere dynamics
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Neural Networks and Applications
- Neural Networks and Reservoir Computing
- Advanced SAR Imaging Techniques
- Diamond and Carbon-based Materials Research
- Soil Moisture and Remote Sensing
- Laser-Plasma Interactions and Diagnostics
- Metal and Thin Film Mechanics
- Solar and Space Plasma Dynamics
- Geophysical Methods and Applications
- Fusion materials and technologies
- Advanced Memory and Neural Computing
- Plasma Diagnostics and Applications
- Remote Sensing and Land Use
- Advanced Computational Techniques and Applications
- Optical Network Technologies
- Superconducting Materials and Applications
- Atomic and Subatomic Physics Research
- Antenna Design and Analysis
- Dust and Plasma Wave Phenomena
- Microwave Imaging and Scattering Analysis
- Neural dynamics and brain function
- Blind Source Separation Techniques
The University of Tokyo
2016-2025
Shizuoka Children's Hospital
2025
Tokyo University of Information Sciences
2015-2024
Waseda University
2023
SOUSEIKAI Global Clinical Research Center
2022
Mahindra Group (India)
2022
Michigan State University
2022
Indian Statistical Institute
2022
University of Salerno
2022
University of Saskatchewan
2011-2021
Applications of complex-valued neural networks (CVNNs) have expanded widely in recent years-in particular radar and coherent imaging systems. In general, the most important merit lies their generalization ability. This paper compares characteristics real-valued feedforward terms coherence signals to be dealt with. We assume a task function approximation such as interpolation temporal signals. Simulation real-world experiments demonstrate that CVNNs with amplitude-phase-type activation show...
We propose a reservoir computing device utilizing spin waves that propagate in garnet film equipped with multiple input/output electrodes. In recent years, has been expected to realize energy-efficient and/or high-speed machine learning. Our proposed enhances such significant merits hardware approach. It utilizes the nonlinear interference of history-dependent asymmetrically propagating excited by magneto-electric effect. First, we investigate feasible structure practical physical parameters...
The nonlinear dynamics of rotating low m (poloidal mode number) tearing modes in a tokamak with external resonant magnetic perturbations is examined. Nonlinear evolution equations for the island width and toroidal rotation frequency are derived within two-fluid magnetohydrodynamic model, taking into account plasma neoclassical parallel viscosity. stability islands interacting static perturbation considered, critical field appearance locked determined. It shown that coupling perpendicular...
[in Japanese]
We propose a quaternion neural-network-based land classification in Poincare-sphere-parameter space. By representing the Stokes vector on/in Poincare sphere geometrically, we construct two analysis parameters, namely, position and variation vector, to describe feature of pixel test area. Then, by employing feedforward neural network, generate successful results for detecting lake, grass, forest, town areas. In comparison with conventional C-matrix-based methods, proposed method has higher...
Channel prediction is an important process for channel compensation in a fading environment. If future characteristic predicted, adaptive techniques, such as pre-equalization and transmission power control, are applicable before order to avoid degradation of communications quality. Previously, we proposed methods employing the chirp z-transform (CZT) with linear extrapolation well Lagrange frequency-domain parameters. This paper presents highly accurate method predicting time-varying...
We numerically study how to enhance reservoir computing performance by thoroughly extracting the spin-wave device potential for higher-dimensional information generation. The has a 1-input exciter and 120-output detectors on top of continuous magnetic garnet film transmission. For various nonlinear fading-memory dynamic phenomena distributing in space, small in-plane fields are used prepare stripe domain structures damping constants at sides bottom explored. ferromagnetic resonant frequency...
Tigliane diterpenoids possess exceptionally complex structures comprising common 5/7/6/3-membered ABCD-rings and disparate oxygen functionalities. While tiglianes display a wide range of biological activities, compounds with HIV latency-reversing activity can eliminate viral reservoirs, thereby serving as promising leads for new anti-HIV agents. Herein, we report collective total syntheses phorbol (13) 11 14–24 various acylation patterns oxidation states, their evaluation The were...
A novel neural network that processes input vectors and attractors fully in complex space using weights is proposed. Real imaginary data are treated consistently with an equivalent significance nondegenerate space. This can be applied for ill-posed problems concerning realistic physical fields continuous motion controls. The dynamics presented demonstrated.
This paper reviews the features and applications of complex-valued neural networks (CVNNs). First we list present application fields, describe advantages CVNNs in two examples, namely, an adaptive plastic-landmine visualization system optical frequency-domain-multiplexed learning logic circuit. Then briefly discuss complex number itself to find that phase rotation is most significant concept, which very useful processing information related wave phenomena such as lightwave electromagnetic...
The Landau dispersion equation $2{k}^{2}={{k}_{\mathrm{De}}}^{2}{Z}^{\ensuremath{'}}({\ensuremath{\zeta}}_{e})+{{k}_{\mathrm{Di}}}^{2}{Z}^{\ensuremath{'}}({\ensuremath{\zeta}}_{i})$ is studied experimentally for $\ensuremath{\omega}={\ensuremath{\omega}}_{r}+i{\ensuremath{\omega}}_{i}$, where ${\ensuremath{\omega}}_{i}=0$ determines the stable-unstable boundary of ion waves, ${k}_{\mathrm{De}}$ and ${k}_{\mathrm{Di}}$ are electron Debye wave numbers, $Z(\ensuremath{\zeta})$ plasma function....
Rhamnofolane, tigliane, and daphnane diterpenoids are structurally complex natural products with multiple oxygen functionalities, making them synthetically challenging. While these share a 5/7/6-trans-fused ring system (ABC-ring), the three-carbon substitutions at C13- C14-positions on C-ring appending functional groups differ among them, accounting for disparate biological activities of products. Here, we developed new, unified strategy expeditious total syntheses five representative...
Spin waves propagating through a stripe domain structure and reservoir computing with their spin dynamics have been numerically studied focusing on the relation between physical phenomena capabilities. Our system utilizes spin-wave-based device that has continuous magnetic garnet film 1-input/72-output electrodes top. To control spatially-distributed dynamics, amplitude-modulated triangular input were used. The spatially-arranged detected vector outputs various nonlinear characteristics...
A novel back-propagation learning method is proposed for fully complex-valued layered neural networks. Nonlinearity suitable realising smooth and unified complex introduced. gradient descent also analysed optimised so that the variations of independent elements output vectors are related directly to fragmentary changes weighting matrix elements. The process presented demonstrated.
We report the first results of nondisruptive, central fueling a tokamak by injection an accelerated spheromak compact toroid (CT). Interferometry measurements indicate plasma on fast time scale (0.5 ms), with more than 50% CT mass used for fueling. The particle inventory increased 30% without disruption.
Effects of finite beta , ion kinetic damping and trapped electrons on the toroidal temperature gradient (ITG) mode have been investigated by two methods-a fully fluid analysis corrected for Landau damping, an electromagnetic local dispersion relation. When are ignored, ITG is stabilized at a value well below critical ideal MHD ballooning (βMHD). Trapped destabilizing increase upper limit to level comparable with βMHD. Ion increases typically factor (LT/LB ≲ 0.18), growth rate remains smaller...
The nonlinear evolution of one-dimensional electron-ion two-stream instability in a field-free plasma is studied both analytically and numerically (computer simulation). dominated by the fastest growing mode its harmonics, provided that initial fluctuation level sufficiently small. A dispersion relation derived solved numerically, taking into account; (a) frequency growth rate modulation, (b) electric field up to ‖Ek‖4, (c) ’’renormalized’’ particle distribution functions. model can...
An analytical model is developed for the nonlinear evolution of electron-ion two-stream instability. The instability saturates when electric field energy reaches $\ensuremath{\sim}2{(\frac{m}{M})}^{\frac{1}{3}}{W}_{0}$ (${W}_{0}=\mathrm{initial}\mathrm{electron}\mathrm{drift}\mathrm{energy}\mathrm{density}$), and then followed by an algebraic growth. Complete stabilization caused electron trapping in deformed potential wells due to rise higher harmonics. results are close agreement with...
We propose an unsupervised polarimetric synthetic aperture radar (PolSAR) land classification system consisting of a series two neural networks, namely, quaternion autoencoder and self-organizing map (SOM). Most the existing PolSAR systems use set feature information that humans designed beforehand. However, such methods will face limitations in near future when we expect into large number categories recognizable to humans. By using autoencoder, our proposed extracts based on natural...
This paper proposes a complex-valued convolutional neural network for land form classification and discovery in interferometric synthetic aperture radar (InSAR). Since the amount of satellite-borne SAR data has been increasing drastically, it is necessary to structurize local features contained observation prior utilization so-called big framework higher usability. Convolutional networks have such potential general. However, there exists no that can deal with complex amplitude obtained InSAR...