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Ultrafast magneto-optical dynamics in nickel(111)single crystal studied by the integration of ultrafast reflectivity and polarimetry probes
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作者 匡皓 余军潇 +3 位作者 陈洁 H.E.Elsayed-Ali 李润泽 Peter M.Rentzepis 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第3期65-69,共5页
With the integration of ultrafast reflectivity and polarimetry probes,we observed carrier relaxation and spin dynamics induced by ultrafast laser excitation of Ni(111)single crystals.The carrier relaxation time within... With the integration of ultrafast reflectivity and polarimetry probes,we observed carrier relaxation and spin dynamics induced by ultrafast laser excitation of Ni(111)single crystals.The carrier relaxation time within the linear excitation range reveals that electron-phonon coupling and dissipation of photon energy into the bulk of the crystal take tens of picoseconds.On the other hand,the observed spin dynamics indicate a longer time of about 120 ps.To further understand how the lattice degree of freedom is coupled with these dynamics may require the integration of an ultrafast diffraction probe. 展开更多
关键词 ultrafast spin dynamics non-equilibrium dynamics multi-probe
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A Novel SE-CNN Attention Architecture for sEMG-Based Hand Gesture Recognition 被引量:1
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作者 Zhengyuan Xu junxiao yu +4 位作者 Wentao Xiang Songsheng Zhu Mubashir Hussain Bin Liu Jianqing Li 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第1期157-177,共21页
In this article,to reduce the complexity and improve the generalization ability of current gesture recognition systems,we propose a novel SE-CNN attention architecture for sEMG-based hand gesture recognition.The propo... In this article,to reduce the complexity and improve the generalization ability of current gesture recognition systems,we propose a novel SE-CNN attention architecture for sEMG-based hand gesture recognition.The proposed algorithm introduces a temporal squeeze-and-excite block into a simple CNN architecture and then utilizes it to recalibrate the weights of the feature outputs from the convolutional layer.By enhancing important features while suppressing useless ones,the model realizes gesture recognition efficiently.The last procedure of the proposed algorithm is utilizing a simple attention mechanism to enhance the learned representations of sEMG signals to performmulti-channel sEMG-based gesture recognition tasks.To evaluate the effectiveness and accuracy of the proposed algorithm,we conduct experiments involving multi-gesture datasets Ninapro DB4 and Ninapro DB5 for both inter-session validation and subject-wise cross-validation.After a series of comparisons with the previous models,the proposed algorithm effectively increases the robustness with improved gesture recognition performance and generalization ability. 展开更多
关键词 Hand gesture recognition SEMG CNN temporal squeeze-and-excite ATTENTION
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