基于加权语义网和有效信息的个性化用户兴趣建模*

为了提高个性化用户兴趣建模的准确率,对用户建模过程进行了优化。在计算文档相似度时,综合考虑特征词的语义关系以及在文档中的分布情况,引入加权语义网,提高了文档相似度计算精度;在计算兴趣度权值时,引入有效信息的概念及量化方法,以解决用户兴趣类权值计算过于主观的问题,并提出具体权值算法,提高了权值计算的准确性。实验结果表明,改进的方法在用户兴趣聚类和兴趣类别权值计算的准确率上都较以往方法有较大提高。     

有限体积法求解立体角离散误差

为解决采用有限体积法求解辐射传输方程时引起离散误差的问题,从有限体积法立体角内热流密度的求解过程出发,运用泰勒级数推导了近似误差的表达式,并分析影响离散误差的各种因素,包括离散射线数,辐射强度分布,假散射及网格比.根据分析结果,采用辐射强度的连续分布模型,模拟了各种因素对误差的影响.结果表明,辐射强度的分布函数对于有限体积法的离散误差有一定程度影响.当增加网格数及减小网格尺寸比时,可以有效地减小离散误差.假散射与离散误差间呈较强的非线性耦合关系.     

一种故障管理系统的层次化结构设计*

基于故障管理基本原理,提出了一种故障管理系统的层次化结构设计方案,分析了该层次化结构的基本特征,并研究了该结构在高端服务器上的实现技术。实际应用表明,该结构具有可行性,基于该结构实现的故障管理系统可较好地提高服务器可靠性。     

异步脑—机接口的空闲状态检测新方法*

提出一种新的空闲状态检测方法,以训练集中各类运动想象样本的类内散度和正确检测率为指标,结合接收机曲线确定分类阈值,设计最佳三分类器,并采用模糊化技术对预测标签进行处理。将该方法应用于2005年BCI竞赛数据IVc,测试的均方误差为0.278 7。实验结果验证了该方法的有效性。     

无定位图的预测误差差值扩展可逆数据隐藏*

将Tian差值扩展技术应用于彩色图像中,提出一种利用预测误差差值进行扩展嵌入的彩色图像可逆数据隐藏算法。针对传统差值扩展技术存在过分修改像素灰度值、须嵌入定位图等缺点,首先利用色彩分量间的相关性减小差值,并将差值扩展量分散到两个色彩分量中;其次,对直方图平移技术进行改进,使得同等嵌入率下图像质量达到最佳;最后由两个色彩分量中像素的预测值之和决定可用于扩展嵌入的像素,无须保存溢出定位图,提取端在提取信息时可无损地恢复原始图像。实验结果表明,与其他算法相比,该算法在同等嵌入率下可取得更好的图像质量,算法复杂度     

The design and analysis of unequal error protection fountain coding for multiple source networks over binary erasure channels

A novel network model of multiple source fountain coding is developed and a novel class of generic multiple source fountain codes with unequal error protection(UEP)property is proposed.The And–Or tree analysis technique is generalized to analyze the asymptotic performance of the proposed codes and a joint optimization method employing both linear and nonlinear programs is developed to optimize the degree distributions.Furthermore,we propose three basic methods to achieve UEP property and the performance of each method is discussed.We employ these analytical results and optimization method to design and discuss several UEP codes with two and four sources for different application scenarios.Simulation results verify that the proposed codes can be applied to the networks with any number of sources and can provide strong UEP property in various ways based on the proposed three basic methods.     

Multipath effects on vector tracking algorithm for GNSS signal

The vector tracking algorithm uses a single extended Kalman filter （EKF） to predict the time-delays and the Doppler deviations of the GNSS signal, while also estimating the user＇s position, velocity, and clock state. In this paper, the effects of multipath on the tracking performance of the vector delay / frequency lock loop （VDFLL） is studied for better application in the multipath environment. The error expressions of the measurements are given in theory. The tracking error caused by multipath is reduced by VDFLL, which is proved by the tracking error of VDFLL through a new iterating method. The theoretical analysis is verified by the Monte Carlo simulation.     

Effect of the Three Gorges Reservoir on vertical distribution of suspended sediment concentration and estimation accuracy of depth-average concentration in downstream reaches

The sediment regime in the middle Yangtze River has been significantly changed from quasi-equilibrium to nonequilibrium since the impoundment of the Three Georges Reservoir (TGR). To understand the effects of the TGR on vertical distribution of suspended sediment concentration (SSC) and estimation accuracy of mean concentration, vertical sediment concentration and flow velocity data at the Shashi and Jianli hydrological stations in the reach before and after the impoundment were collected. Comparisons and analysis of vertical profiles of SSC before and after the TGR impoundment show that after the impoundment of the TGR, due to the coarsening of sediment particle size, the reduction in sediment load, and the significant decrease in sediment saturation, the vertical distribution of SSC in the downstream reaches became more uneven under medium and low water flows, which was reflected in the vertical gradient and the fluctuation degree of SSC significantly increased. In addition, the depth-average sediment concentrations were calculated by the selected-point method and the mean values calculated by the “multi-point method” were regarded as the “true mean” to evaluate the accuracy of the mean value calculated by the “few-point method.” It was found that the relative errors for the selected-point method were mainly positive before impoundment but mainly negative after impoundment. Additionally, the correction factors of one-point, two-point, and three-point methods and the position of the near-bed substituted point for the five-point method were given to reduce the error when the point measurements were used to calculate the depth-average sediment concentration in the downstream reaches.     

实时洪水预报中基于岭估计的AR修正模型研究

为提高实时洪水预报精度,经常将水文模型与误差修正模型相结合,AR模型因其结构简单广泛应用于实时洪水预报误差修正。然而,实际应用显示,AR模型时常出现修正结果不稳定现象,表现为流量修正幅度过大,甚至出现“震荡”现象,严重影响修正效果。鉴于此,本文从矩阵特征值角度解释了AR模型出现不稳定现象的原因,并引入岭估计方法选择性利用流量信息更新自回归系数,使其更满足真实流量的涨落过程,增强该模型的稳健性。将新方法应用于蔺河口流域,结果显示岭估计方法显著提高了AR模型的稳健性,从而改善了模型修正效果,进一步提高了洪水预报精度。     

10 kV用无源电子式电压传感器的应用研究

针对传统技术中采用电磁式CT互感器存在的不足,提出了适用于10 kV的无源电子式电压互感器。根据电压互感器的工作原理,介绍了10 kV无源电子式电压互感器在电能表检定装置方面的意义。进一步分析了无源电子式电压互感器在电力设备中应用的重要性和必要性,该技术能够有效地避免传统技术在电力线路信号传输和处理时带来附加误差,大大提高电能计量、保护和测量系统的精度,推进了电力系统朝向数字化、电子化、自动化、网络化的方向发展。实验表明,采用10 kV的无源电子式电压传感器与传统CT互感器相比,误差精度提高了10%以上。