本原a-LFSR序列的迹表示及其应用

-LFSR是一基于字的LFSR模型,它的设计充分利用了现代CPU特点,可很好地应用于设计适合快速软件实现的序列密码算法中.而在实际应用中,本原-LFSR序列具有最核心的作用.该文分析了本原-LFSR序列的产生条件,利用其迭代关系式和有限域的迹函数,给出了它的具体表达式,从而得到本原-LFSR序列的迹表示;其次由本原-LFSR序列的迹表示,给出了一个-LFSR序列为本原的充要条件.它们为进一步研究本原-LFSR序列提供了新的工具.     

Blue Luminescence of ZnO Nanoparticles Based on Non‐Equilibrium Processes: Defect Origins and Emission Controls

High concentrations of defects are introduced into nanoscale ZnO through non‐equilibrium processes and resultant blue emissions are comprehensively analyzed, focusing on defect origins and broad controls. Some ZnO nanoparticles exhibit very strong blue emissions, the intensity of which first increase and then decrease with annealing. These visible emissions exhibit strong and interesting excitation dependences: 1) the optimal excitation energy for blue emissions is near the bandgap energy, but the effective excitation can obviously be lower, even 420 nm (2.95 eV < E_g = 3.26 eV); in contrast, green emissions can be excited only by energies larger than the bandgap energy; and, 2) there are several fixed emitting wavelengths at 415, 440, 455 and 488 nm in the blue wave band, which exhibit considerable stability in different excitation and annealing conditions. Mechanisms for blue emissions from ZnO are proposed with interstitial‐zinc‐related defect levels as initial states. EPR spectra reveal the predominance of interstitial zinc in as‐prepared samples, and the evolutions of coexisting interstitial zinc and oxygen vacancies with annealing. Furthermore, good controllability of visible emissions is achieved, including the co‐emission of blue and green emissions and peak adjustment from blue to yellow.     

基于LMS算法的光纤信道自适应均衡器的研究

文章分析了影响光纤通信系统性能的主要因素,介绍了在理论分析的基础上建立的单模光纤信道仿真模型;还介绍了判决反馈均衡器(DFE)的基本结构和最小均方(LMS)误差算法,并用MATLAB软件仿真了采用LMS算法对10 Gbit/s光纤信道进行自适应均衡的性能.仿真结果表明,LMS算法简单、高效,能有效消除光纤色散和偏振模色散(PMD)引起的码间干扰,比较适合对均衡速度要求较高的光纤通信系统.     

两种脉冲涡流轴对称有限元模型的比较

脉冲涡流检测技术是近年来发展迅速的一种新型涡流检测技术。由于其激励信号频谱宽广,不同频率分量的涡流能够渗透到不同深度,使其检测信号包含更丰富的深度方向的缺陷信息,在航空维修等工业领域有着重要的意义。对脉冲涡流检测的仿真可以指导脉冲涡流检测技术的研究。本文利用二维轴对称模型,介绍r脉冲涡流有限元仿真的两种方法一傅里叶变换法和时间步进法,并详细比较了这两种方法的优缺点。     

紫外激光烧蚀金属Al靶诱导等离子体的发射光谱研究

通过测定紫外激光烧蚀Ａｌ靶诱导等离子体的发射光谱，研究了激光烧蚀Ａｌ靶的溅射过程和烧蚀环境气体对发射光谱强度的影响，提出电子碰撞激发模型，定性解释了烧蚀环境气体对等离子体发射光谱的增强效应。     

耦合FE/WB法在声分析中的应用

简要描叙FE法(finite element method)和WB法(wave based method)的理论背景以及耦合FE/WB法的数学基础.耦合FE/WB法利用两者的优势——FE法的广泛应用和WB法的高收敛特性,将FE模型中较大且几何简单的部分采用WB法代替.耦合模型具有相对较少的自由度.对于较高的频率还可以进行细分得到更高的计算精度,并利用模态缩减法进一步减少自由度数.数值算例结果表明,该耦合方法有潜力覆盖中频段的声分析.     

Binary Controls on Interfacial Magnetism in Manganite Heterostructures

The complex interfacial correlations provide new routes toward tunable functionalities. Here, the wide range of tunabilities for magnetic properties are presented, including Curie temperature (from 245 to 320 K), coercive field (from 2 to 205 Oe), and saturated magnetic moment (from 0.9 to 2.8 µ_B Mn^?1), in a 9‐unit‐cell La_2/3Sr_1/3MnO₃ (LSMO) layer via modifying interfacial boundary conditions. Moreover, the LSMO/PbTiO₃‐based multilayers and superlattices that consist of PbTiO₃/LSMO/NdGaO₃ and PbTiO₃/LSMO/PbTiO₃ interfaces are characterized by two distinct Curie temperatures and coercive fields. The results reveal the feasibility of the interface‐resolved strategy based on boundary modification in fabricating potential devices with multiple accessible states for information storage. The wide‐range modulations on magnetic properties at LSMO/titanate interfaces are explained in terms of binary controls arising from the oxygen octahedral coupling (OOC) and magnetoelectric coupling (MEC). The results not only shed some light on understanding interfacial correlations in oxide heterostructures, but also pave an alternative path for exploring multiple accessible states in all‐oxide‐based electronic devices.     

50~250 keV质子入射SiC和Si靶时的电子发射特性研究

在中国科学院近代物理研究所兰州重离子加速器国家实验室测量了能量范围为50~250 keV 的质子入射碳化硅靶和硅靶表面的电子发射产额。实验结果发现,两种半导体靶材的电子发射产额随质子入射能量变化趋势均与作用过程中电子能损随质子入射能量的变化趋势相似。通过分析电子发射的能量来源,发现实验中电子发射产额主要由动能电子发射产额贡献,势能电子发射产额可以忽略不计。两种靶材的电子发射产额均近似地正比于质子入射靶材过程中的电子能损,比例系数B随入射能量略有变化。     

Efficient cardiac diffusion tensor MRI by three-dimensional reconstruction of solenoidal tensor fields

Tensor tomography is being investigated as a technique for reconstruction of in vivo diffusion tensor fields that can potentially be used to reduce the number of magnetic resonance imaging (MRI) measurements. Specifically, assessments are being made of the reconstruction of cardiac diffusion tensor fields from 3D Radon planar projections using a filtered backprojection algorithm in order to specify the helical fiber structure of myocardial tissue. Helmholtz type decomposition is proposed for 3D second order tensor fields. Using this decomposition a Fourier projection theorem is formulated in terms of the solenoidal and irrotational components of the tensor field. From the Fourier projection theorem, two sets of Radon directional measurements, one that reconstructs the solenoidal component and one that reconstructs the irrotational component of the tensor field, are prescribed. Based on these observations filtered backprojection reconstruction formulae are given for the reconstruction of a 3D second order tensor field and its solenoidal and irrotational components from Radon projection measurements. Computer simulations demonstrate the validity of the mathematical formulations and demonstrate that a realistic model of the helical fiber structure of the myocardial tissue specifies a diffusion tensor field for which the first principal vector (the vector associated with the maximum eigenvalue) of the solenoidal component accurately approximates the first principal vector of the diffusion tensor. A priori knowledge of this allows the orientation of the myocardial fiber structure to be specified utilizing one half of the number of MRI measurements of a normal diffusion tensor field study.     

Rapid design space exploration by hybrid fuzzy search approach for optimal architecture determination of multi objective computing systems

Design Space Exploration (DSE) with multi-parametric objective in High Level Synthesis (HLS) involves assessing the various design points in the architecture design space to find the optimum solution for the design according to the system requirements specified. Due to the time to market pressure, the cost of solving the problem of architecture selection by exhaustive analysis is strictly forbidden. The tradeoffs linked to the selection of the appropriate design point during architecture evaluation needs careful assessment for efficient design space exploration. Further DSE requires satisfying multiple conflicting multi objective conditions such as increase in accuracy of evaluation during DSE with simultaneous speedup in the exploration process. This paper presents a novel hybrid design space exploration approach which is a combination of the Priority Factor (PF) method and Fuzzy search technique that is rapid and accurate in architecture evaluation and selection. The proposed approach for DSE when applied on a number of benchmarks yielded superior results compared to the current existing DSE approach for architecture selection. The comparison results of the proposed hybrid approach with the current existing approach for different benchmarks are shown and the speedups obtained are also presented.