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2篇 您的检索式：作者名="Linbo SHAN"

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		题名	作者	年代	出处	被引量
	1	Penumbral imaging and numerical evaluation of large area source neutron imaging system显示文摘The fusion neutron penumbral imaging system Monte Carlo model was established. The transfer functions of the two discrete units in the neutron source were obtained in two situations:Imaging in geometrical near-optical and real situation. The spatial resolutions of the imaging system in two situations were evaluated and compared. The penumbral images of four units in the source were obtained by means of 2-dimensional (2D) convolution and Monte Carlo simulation. The penumbral images were reconstructed with the same method of filter. The same results were confirmed. The encoding essence of penumbral imaging was revealed. With MCNP(Monte Carlo N-particle) simulation,the neutron penumbral images of the large area source (200 μm×200 μm) on scintillation fiber array were obtained. The improved Wiener filter method was used to reconstruct the penumbral image and the source image was obtained. The results agree with the preset neutron source image. The feasibility of the neutron imaging system was verified.	YueLei Wu HuaSi Hu BoPing Zhang LinBo Li Da Chen Qing Shan Jie Zhu	2009	Science China(Technological Sciences)2009，52，9：	3
	2	Investigation and mitigation of Mott neuronal oscillation fluctuation in spiking neural network显示文摘Mott devices,featuring low hardware cost and high energy efficiency,have been demonstrated as a key oscillatory element in artificial neurons to enable spiking neural networks(SNNs)such as conversionbased SNNs(CSNNs).However,there will be inevitably non-ideal fluctuation in the oscillation behavior,causing the accuracy degradation of networks.In this paper,we investigate the Mott neuronal oscillation fluctuation(NOF)through experiments and modeling.The results show that the NOF phenomenon conforms to Gaussian distribution and originates from thermal fluctuation induced switching voltage variations.We construct a two-layer CSNN for image recognition tasks to study the NOF effect and propose the activation function boundary(AFB)method to strengthen the stability of the network.The results indicate that AFB can improve the accuracy of CSNN by up to 15.5%by tightening output distribution.	Lindong WU Zongwei WANG Lin BAO Linbo SHAN Zhizhen YU Yunfan YANG Shuangjie ZHANG Guandong BAI Cuimei WANG John ROBERTSON Yuan WANG Yimao CAI Ru HUANG	2024	Science China(Information Sciences)2024，67，2：	0

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