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Hyperspectral image super resolution using deep internal and self-supervised learning

CAAI Transactions on Intelligence Technology 2024年第1期9卷 128-141页

作者： Zhe Liu Xian-Hua Han graduate school of science and Technology for Innovation Yamaguchi UniversityYamaguchiJapan graduate school of Artificial Intelligence and science Rikkyo UniversityTokyoJapan

By automatically learning the priors embedded in images with powerful modelling ca-pabilities,deep learning-based algorithms have recently made considerable progress in reconstructing the high-resolution hyperspectral(HR-HS)*** previously collected large-amount of external data,these methods are intuitively realised under the full supervision of the ground-truth ***,the database construction in merging the low-resolution(LR)HS(LR-HS)and HR multispectral(MS)or RGB image research paradigm,commonly named as HSI SR,requires collecting corresponding training triplets:HR-MS(RGB),LR-HS and HR-HS image simultaneously,and often faces dif-ficulties in *** learned models with the training datasets collected simultaneously under controlled conditions may significantly degrade the HSI super-resolved perfor-mance to the real images captured under diverse *** handle the above-mentioned limitations,the authors propose to leverage the deep internal and self-supervised learning to solve the HSI SR *** authors advocate that it is possible to train a specific CNN model at test time,called as deep internal learning(DIL),by on-line preparing the training triplet samples from the observed LR-HS/HR-MS(or RGB)images and the down-sampled LR-HS ***,the number of the training triplets extracted solely from the transformed data of the observation itself is extremely few particularly for the HSI SR tasks with large spatial upscale factors,which would result in limited reconstruction *** solve this problem,the authors further exploit deep self-supervised learning(DSL)by considering the observations as the unlabelled training ***,the degradation modules inside the network were elaborated to realise the spatial and spectral down-sampling procedures for transforming the generated HR-HS estimation to the high-resolution RGB/LR-HS approximation,and then the reconstruction errors of the observations were formulated for mea

关键词： computer vision deep learning deep neural networks hyperspectral image enhancement

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Non-Kramers doublet ground state in a quaternary cubic compound PrRu_(2)In_(2)Zn_(18) investigated by ultrasonic measurements

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Chinese Physics B 2024年第6期33卷 405-411页

作者：张化远 Kazuhei Wakiya Mitsuteru Nakamura Masahito Yoshizawa Yoshiki Nakanish graduate school of science and Engineering Iwate UniversityMorioka 020-8551Japan

We performed ultrasonic measurements on a quaternary cubic compound PrRu_(2)In_(2)Zn_(18) to explore the ground state properties derived from non-Kramers Γ_(3) doublet of Pr^(3+).PrRu_(2)In_(2)Zn_(18) is a quaternary derivative of the ternary compound PrRu_(2)Zn_(20) that exhibits a structural phase transition at T_S=138 *** PrRu_(2)In_(2)Zn_(18),the Zn atoms at the 16c site in PrRu_(2)Zn_(20) are selectively replaced by In atoms.A monotonic increase was observed in the temperature dependence of elastic constants C_L=(C_(11)+2C_(12)+4C_(44))/3 and C_(T)=(C_(11)-C_(12)+C_(44))/3 in the temperature range around T_(S) to which an elastic softening was observed in(C_(11)-C_(12))/2 for PrRu_(2)Zn_(20).The disappearance of the softening indicates that the structural transition in PrRu_(2)Zn_(20) is suppressed by the substitution of Zn ions by In ones with a larger ionic ***,the C_(T) of PrRu_(2)In_(2)Zn_(18) exhibits a precursor Curie-type elastic softening toward low temperatures being responsible for the non-Kramers Γ_(3) ground *** discuss the ground state and the evolution of the elastic properties of the different single-crystal samples of PrRu_(2)In_(2)Zn_(18) grown under different conditions.

关键词： ultrasonic measurements non-Kramers doublet structural phase transition crystalline electric field effect

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Oxygens matter in the bilayer nickelate superconductor

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science China(Physics,Mechanics & Astronomy) 2024年第10期67卷 177-178页

作者： Kazuhiko Kuroki Department of Physics Graduate School of ScienceOsaka UniversityOsaka 560-0043Japan

The recent discovery of high T_(c) superconductivity under pressure in a bilayer Ruddlesden-Popper-type nickelate La_(3)Ni_(2)O_(7)[1] has attracted great interest both experimentally and ***,following this discovery,superconductivity in a trilayer nickelate La_(4)Ni_(3)O_(10) has also been discovered[2,3].These findings have confirmed the arrival of the nickel age of superconductivity[4],kicked off by the discovery of superconductivity in the thin films of infinite layer nickelates[5].

关键词： superconductivity nickel superconductor

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Solid-state NMR of the retinal protonated Schiff base in microbial rhodopsins

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Magnetic Resonance Letters 2024年第3期4卷 11-18页

作者： Sari Kumagai Izuru Kawamura graduate school of Engineering science Yokohama National UniversityYokohama240-8501Japan

Rhodopsin is a seven-helical transmembrane protein with a retinal chromophore covalently bound to a conserved lysine in helix G via a retinal protonated Schiff base(RPSB).Microbial rhodopsins absorb light through chromophore and play a fundamental role in *** microbial rhodopsins have been discovered,contributing to diverse functions and ***-state NMR spectroscopy has been instrumental in elucidating the conformation of chromophores and the three-dimensional structure of microbial *** review focuses on the 15N chemical shift values of RPSB and summarizes recent progress in the *** displayed the correlation between the 15N isotropic chemical shift values of RPSB and the maximum absorption wavelength of rhodopsin using solid-state NMR spectroscopy.

关键词： Membrane proteins Microbial rhodopsin Retinal Solid-state NMR Protonated Schiff base

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Space–time finite element method with domain reduction techniques for dynamic soil–structure interaction problems

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International Journal of Mechanical System Dynamics 2024年第2期4卷 117-130页

作者： Vikas Sharma Shion Shimizu Kazunori Fujisawa Division of Environmental science and Technology Graduate School of AgricultureKyoto UniversityKyotoJapan

Design of earth structures,such as dams,tunnels,and embankments,against the vibrational loading caused by high-speed trains,road traffic,underground explosions,and,more importantly,earthquake motion,demands solutions of the dynamic soil–structure Interaction(SSI)*** paper presents a velocity-based space–time finite element procedure,v-ST/finite element method(FEM),to solve dynamic SSI *** main goal of this study is to present the computation details of implementing viscous boundary conditions of Lysmer–Kuhlemeyer to truncate the unbounded soil ***,additional time-dependent boundary conditions,in terms of the free-field response,are included to facilitate energy flow from the far field to the computation domain at the vertical truncated *** the FEM,seismic input motion is applied to an effective nodal force vector,which can be obtained explicitly in the numerical ***,the response of a concrete gravity dam resting on an elastic half-space to the horizontal component of earthquake motion is computed and successfully compared with the results of semidiscrete FEM using the Newmark-βmethod.

关键词： absorbing boundary domain reduction FEM soil-structure interactions space-time

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Modifying Lyapunov exponent of chaotic map by self-cascading

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science China(Technological sciences) 2024年第7期67卷 2203-2214页

作者： YI ChenLong LI ChunBiao LI YongXin XIA Ming HUA ZhongYun school of Electronic and Information Engineering Nanjing University of Information Science&TechnologyNanjing 210044China school of Artificial Intelligence Nanjing University of Information Science&TechnologyNanjing 210044China school of Computer science and Technology Harbin Institute of Technology Shenzhen Graduate SchoolShenzhen 518055China

The self-cascade(SC) method is an effective technique for chaos enhancement and complexity increasing in chaos ***, the controllable self-cascade(CSC) method allows for more accurate control of Lyapunov exponents of the discrete map. In this work, the SC and CSC systems of the original map are derived, which enhance the chaotic performance while preserving the fundamental dynamical characteristics of the original map. Higher Lyapunov exponent of chaotic sequences corresponding to higher frequency are obtained in SC and CSC systems. Meanwhile, the Lyapunov exponent could be linearly controlled with greater flexibility in the CSC system. The verification of the numerical simulation and theoretical analysis is carried out based on the platform of CH32.

关键词： self-cascade controllable self-cascade chaos enhancement chaos control

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Development of D_α band symmetrical visible optical diagnostic for boundary reconstruction on EAST tokamak

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Plasma science and Technology 2024年第2期26卷 44-53页

作者：陈明沈飊 Shinichiro KADO 郭笔豪陈大龙蔡福瑞肖炳甲 Hefei Institutes of Physical science Chinese Academy of SciencesHefei 230031People's Republic of China science Island Branch Graduate School of University of Science and Technology of ChinaHefei 230026People's Republic of China Institute of Advanced Energy Kyoto UniversityUji 611-0011Japan graduate school of Energy science Kyoto UniversityUji 611-0011Japan

To investigate the potential of utilizing visible spectral imaging for controlling the plasma boundary shape during stable operation of plasma in future tokamak, a D_α band symmetric visible light diagnostic system was designed and implemented on the Experimental Advanced Superconducting Tokamak(EAST). This system leverages two symmetric optics for joint plasma imaging. The optical system exhibits a spatial resolution less than 2 mm at the poloidal cross-section, distortion within the field of view below 10%, and relative illumination of 91%.The high-quality images obtained enable clear observation of both the plasma boundary position and the characteristics of components within the vacuum vessel. Following system calibration and coordinate transformation, the image coordinate boundary features are mapped to the tokamak coordinate system. Utilizing this system, the plasma boundary was reconstructed, and the resulting representation showed alignment with the EFIT(Equilibrium Fitting) results. This underscores the system's superior performance in boundary reconstruction applications and provides a diagnostic foundation for boundary shape control based on visible spectral imaging.

关键词： visible optical diagnostic plasma boundary reconstruction EAST

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ASYMPTOTIC BEHAVIOR NEAR THE BOUNDARY OF A LARGE SOLUTION TO SEMILINEAR POISSON EQUATION WITH DOUBLE-POWER NONLINEARITY

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Acta Mathematica Scientia 2024年第6期44卷 2083-2098页

作者： Kazuhiro TAKIMOTO Yuxiao ZHANG Department of Mathematics Graduate School of Advanced Science and TechnologyHiroshima University

We deal with a large solution to the semilinear Poisson equation with doublepower nonlinearity Δu=up+αuqin a bounded smooth domain D ■ R~n,where p> 1,-1 详细信息

We deal with a large solution to the semilinear Poisson equation with doublepower nonlinearity Δu=up+αuqin a bounded smooth domain D ■ R~n,where p> 1,-1

关键词： asymptotic behavior double-power nonlinearity large solution semilinear Poisson equation

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Double DQN Method For Botnet Traffic Detection System

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Computers, Materials & Continua 2024年第4期79卷 509-530页

作者： Yutao Hu Yuntao Zhao Yongxin Feng Xiangyu Ma school of Information science and Engineering Shenyang Ligong UniversityShenyang110159China graduate school Shenyang Ligong UniversityShenyang110159China

In the face of the increasingly severe Botnet problem on the Internet,how to effectively detect Botnet traffic in realtime has become a critical *** the existing deepQnetwork(DQN)algorithminDeep reinforcement learning can solve the problem of real-time updating,its prediction results are always higher than the actual *** Botnet traffic detection,although it performs well in the training set,the accuracy rate of predicting traffic is as high as%;however,in the test set,its accuracy has declined,and it is impossible to adjust its prediction strategy on time based on new data ***,in the new dataset,its accuracy has declined ***,this paper proposes a Botnet traffic detection system based on double-layer DQN(DDQN).Two Q-values are designed to adjust the model in policy and action,respectively,to achieve real-time model updates and improve the universality and robustness of the model under different data *** show that compared with the DQN model,when using DDQN,the Q-value is not too high,and the detectionmodel has improved the accuracy and precision of Botnet ***,when using Botnet data sets other than the test set,the accuracy and precision of theDDQNmodel are still higher than DQN.

关键词： DQN DDQN deep reinforcement learning botnet detection feature classification

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Multiple-dimensioned defect engineering for graphite felt electrode of vanadium redox flow battery

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Carbon Energy 2024年第2期6卷 143-153页

作者： Yingqiao Jiang Yinhui Wang Gang Cheng Yuehua Li Lei Dai Jing Zhu Wei Meng Jingyu Xi Ling Wang Zhangxing He school of Chemical Engineering North China University of Science and TechnologyTangshanChina Tsinghua Shenzhen International graduate school Institute of Materials ResearchTsinghua UniversityShenzhenChina

The scarcity of wettability,insufficient active sites,and low surface area of graphite felt(GF)have long been suppressing the performance of vanadium redox flow batteries(VRFBs).Herein,an ultra-homogeneous multipledimensioned defect,including nano-scale etching and atomic-scale N,O codoping,was used to modify GF by the molten salt ***_(4)Cl and KClO_(3) were added simultaneously to the system to obtain porous N/O co-doped electrode(GF/ON),where KClO_(3) was used to ultra-homogeneously etch,and O-functionalize electrode,and NH4Cl was used as N dopant,***/ON presents better electrochemical catalysis for VO_(2)+/VO_(2)+ and V3+/V2+ reactions than only O-functionalized electrodes(GF/O)and *** enhanced electrochemical properties are attributed to an increase in active sites,surface area,and wettability,as well as the synergistic effect of N and O,which is also supported by the density functional theory ***,the cell using GF/ON shows higher discharge capacity,energy efficiency,and stability for cycling performance than the pristine cell at 140 mA cm^(−2) for 200 ***,the energy efficiency of the modified cell is increased by 9.7% from 55.2% for the pristine cell at 260 mA cm^(−2).Such an ultra-homogeneous etching with N and O co-doping through“boiling”molten salt medium provides an effective and practical application potential way to prepare superior electrodes for VRFB.

关键词： graphite felt molten salt N O co-doping ultra-homogeneous etching vanadium redox flow battery

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