水下滑翔器位姿估计的改进高斯混合粒子滤波器设计与验证（英文）

近年用于水下滑翔器的低成本导航系统成为研究热点,导航器件的成本与精度之间的折中问题仍然是目前的难题。针对因使用低成本的导航元件而造成低精度位姿估计的问题,提出用于位姿估计的改进高斯混合粒子滤波(IGMPF)方法。用高斯混合模型来估计非高斯噪声,改进的粒子滤波进一步提高位姿估计精度。为了验证其效果,该方法应用于自主设计的水下滑翔器导航系统中并做了车载实验,实验结果表明所提IGMPF方法在实际应用中比传统的EKF和UKF表现更优,姿态角和位移误差比EKF和UKF减小了至少30%。     

An extended improved global structure model for influential node identification in complex networks

Accurate identification of influential nodes facilitates the control of rumor propagation and interrupts the spread of computer viruses. Many classical approaches have been proposed by researchers regarding different aspects. To explore the impact of location information in depth, this paper proposes an improved global structure model to characterize the influence of nodes. The method considers both the node's self-information and the role of the location information of neighboring nodes. First, degree centrality of each node is calculated, and then degree value of each node is used to represent self-influence, and degree values of the neighbor layer nodes are divided by the power of the path length, which is path attenuation used to represent global influence. Finally, an extended improved global structure model that considers the nearest neighbor information after combining self-influence and global influence is proposed to identify influential nodes. In this paper, the propagation process of a real network is obtained by simulation with the SIR model, and the effectiveness of the proposed method is verified from two aspects of discrimination and accuracy. The experimental results show that the proposed method is more accurate in identifying influential nodes than other comparative methods with multiple networks.     

道路交通拥堵自动检测的改进加州算法及仿真

本文研究了高速公路交通拥堵自动检测算法.利用改进的加州算法,获得了用VISSIM软件对高速公路车流量情况的仿真数据及结果,仿真结果表明改进加州算法的检测结果良好.     

Analysis of natural convection from a column of cold horizontal cylinders using Artificial Neural Network

Artificial Neural Networks (ANNs) offer an alternative way to tackle complex problems. They can learn from the examples and once trained can perform predictions and generalizations at high speed. They are particularly useful in behavior or system identification. According to the above advantages of ANN in the present paper ANN is used to predict natural convection heat transfer and fluid flow from a column of cold horizontal circular cylinders having uniform surface temperature. Governing equations are solved in a few specified cases by finite volume method to generate the database for training the ANN in the range of Rayleigh numbers of 10⁵–10⁸ and a range of cylinder spacing of 0.5, 1.0, and 1.5 diameters, thereafter a Multi-Layer Perceptron (MLP) network is used to capture the behavior of flow and temperature fields and then generalized this behavior to predict the flow and temperature fields for any other Rayleigh numbers. Different training algorithms are used and it is found that the resilient back-propagation algorithm is the best algorithm regarding the faster training procedure. To validate the accuracy of the trained network, comparison is performed among the ANN and available CFD results. It is observed that ANN can be used more efficiently to determine cold plume and thermal field in lesser computational time. Based on the generalized results from the ANN new correlations are developed to estimate natural convection from a column of cold horizontal cylinders with respect to a single horizontal cylinder.     

非平稳时间序列分析的WAVELET—改进GM(1,1)组合方法及其应用

提出非平稳时间序列分析的WAVELET—改进GM(1,1)组合方法.首先利用Mallat算法对非平稳时间序列进行小波分解;然后采用能量阈值选择策略对高频系数进行处理,并将其与低频系数进行小波重构;最后运用改进的GM(1,1)方法预测.该方法不仅能充分拟合低频信息,而且可避免对高频信息的过拟合.实验结果证明,该方法比传统的非平稳时间序列预测方法具有更高的预测精度.     

双频容性耦合等离子体密度径向均匀性研究

利用自主研制的全悬浮双探针, 对影响双频容性耦合等离子体径向均匀性的因素进行了研究. 发现低频功率、放电气压和放电间距对径向均匀性有明显影响. 合适的低频功率、放电气压及较大的极板间距可以得到更均匀的等离子体. 采用与实验相同的放电参数, 利用改进的二维流体模型进行理论模拟, 得到了不同极板间距下径向离子密度分布, 并和实验测量结果进行了比较, 两者的变化趋势基本符合. 关键词： 双频容性耦合等离子体 径向均匀性 全悬浮双探针 二维流体模型     

爆破震动信号模极大值小波消噪方法的改进

针对模极大值小波消噪方法不利于所有信号特征的识别这一缺点,对该算法进行了改进,采用自适应的小波尺度来替换二进小波尺度,以更好地适应测试信号消噪的要求。应用改进前、后的消噪算法分别对实测爆破震动信号进行了分析,并将分析结果进行了比较。比较结果说明:改进后的算法消噪效果更好,消噪后信号同轴清晰、连续性好,信噪比由17.25提高到20.16,可以更好地实现爆破震动信号消噪的目的。     

Energy Spectrum,g Factors,Strain-Induced Level-Splittingsand R-Line Thermal Shift of MgO:V2+

Traditional ligand-field theory has to be improved by taking into account both pure electronic contribution and electron-phonon interaction one (including lattice-vibrational relaxation energy). By means of improved ligand-field theory, the R line, t₂^{3 2}T₁ and t₂^{3 2}T₂ lines, t₂² (³T₁)e⁴T₂, t₂² (³T₁)e⁴T₁ and t₂ e²(⁴A₂)⁴T₁ bands, g factors of t₂^{3 4}A₂ and t₂^{3 2}E, four strain-induced level-splittings and R-line thermal shift of MgO:V₂₊ have been calculated. The results are in very good agreement with the experimental data. It is found that for MgO:V₂₊, the contributions due to electron-phonon interaction (EPI) come from the first-order term; the contributions from the second-order and higher terms are insignificant. In thermal shift of R line of MgO:V₂₊, the temperature-dependent contribution due to EPI is dominant. The results obtained in this work may be used in theoretical calculations of other effects of EPI.     

二维液相色谱接口的改进及其在蛋白质组学研究中的应用

随着蛋白质组学、本草物质组学等组学概念的提出,所需分析的样品的成分越来越复杂,因此具有强大分离能力的多维液相色谱技术受到人们越来越多的关注。二维液相色谱中第二维的分离性能和速度是整个分离系统性能的关键。基于捕集柱模式,我们采用经特殊设计的流路系统,使得双捕集柱型接口具有预分离的功能。样品从第一维流出以后被富集在捕集柱1的柱头,经过脱盐后,正冲捕集柱,捕集柱1与第二维色谱柱联用对富集的样品进行分离,增加了第二维分离效率。当捕集柱上的样品全部被洗脱到第二维色谱柱上时,捕集柱2已经完成对第一维洗脱液中样品的捕集和脱盐,此时将阀进行切换,捕集柱2与第二维色谱柱直接相连进行洗脱。循环切换捕集柱1和捕集柱2,维持较高的阀切换频率,实现了第二维色谱柱的连续洗脱。因此保证了第二维分离具有较快速度,同时具有较高的分离效率。使用35 mm长捕集柱和十通阀为接口,以弱阴离子交换(WAX)色谱为第一维分离模式,以反相(RP)色谱为第二维分离模式,构建了WAX-RP二维液相色谱系统(2D-LC system)。以小鼠血清为样品对系统进行了初步评价。色谱流出曲线出现了明显的界面现象,这是由于捕集柱流动相中含有的较多盐分流出时的背景吸收造成的。同时,由于界面两侧的流动相黏度不同产生了黏性指进(VF)现象。当第二维色谱柱长度为50 mm时,理论上可将第二维分离效能提高70%。该接口可以应用于多种二维液相色谱模式,适用于蛋白质组学和本草物质组学研究中对于复杂样品的分离分析。     

用改进的格点哈密顿量计算2+1维QCD 0++胶球质量

用改进的格点哈密顿量和截断本征方程法计算2＋1维QCD 0^ 胶球质量,结果显示较好的标度行为。