基于间隔控制的信息隐藏算法

提出一种在图像离散余弦变换（DCT）域内的信息隐藏算法。为了在基本保证隐秘图像视觉质量的前提下有效提高载体图像的信息隐藏量,该方法使用随机序列进行间隔控制,选择信息嵌入位,把随机序列的种子看成密钥,通过比较变换后的2个DCT系数完成信息的隐藏。试验结果表明,该算法可以兼顾秘密信息隐藏的不可见性和鲁棒性,密钥空间大,能够实现自适应隐藏和提取信息的盲检测。     

HK网络演化模型的研究和改进

研究一种高集聚度的无标度网络模型,以Holme和Kim（HK）模型为基础,通过引进新增节点所应该具备的连接动态性,改进HK模型的局部特性。分析和仿真表明,改进模型HK’不仅继承了HK模型的高聚类效应和无标度特性,且它的幂律指数可在2～3之间变化,网络成员间的竞争机制也与现实社会网络较接近。     

测试稿件

复杂网络理论是时间序列分析中一种有力的工具。但在面对高频数据时,现有建网方法是低效的。因此,提出利用时间序列符号化技术压缩原始序列,并构造网络的方法。该方法使用最小二乘估计时序分段斜率,提取序列的局部特征,并构造字典判断节点是否邻接。模拟试验表明,所建网络的标度指数、集群系数与过程的Hurst指数高度相关,可以精确地捕捉原过程的复杂性特征     

Estimation of the Bivariate Stable Spectral Representation by theProjection Method

A method of estimating the spectral representation of a generalized bivariatestable distribution is presented, based on a series of maximum likelihood (ML)estimates of the stable parameters of univariate projections of the data. Thecorresponding stable spectral density is obtained by solving a quadraticprogram. The proposed method avoids the often arduous task of computing themultivariate stable density, relying instead on the standard univariate stabledensity. The paper applies this projection procedure, under the simplifyingassumption of symmetry, to simulated data as well as to foreign exchangereturn data, with favorable results. Kanter projection coefficients governingconditional expectations are computed from the estimated spectral density. For the simulated data these compare well to their known true values.     

用殷钢波导控制相控阵天线的监测精度

有效地控制某系统相控阵天线的指向精度,是保证整个系统精确定位的关键问题。这里介绍了如何利用殷钢材料的温度特性以及选用殷钢材料的波导来做监测歧管,保证监测精度的设计依据。     

时空结构视野下旅游客源市场定量初探——以浙江嘉兴乌镇为例

在客源时间分布上,计算乌镇游客游览时间强度指数,得到游客游览时间主要集中在二、三季度,并以7、8月份为最高峰。而在客源市场的分布上,鸟镇已经形成了以浙江为核心,上海、北京等地为一级,安徽、河南等地为二级的国内客源市场。在长三角古村落旅游发展迅速的今天,乌镇与周边的周庄、同里等古镇的竞争日益激烈,而旅游产品的创新、加大宣传迅速占领国内二级客源市场等措施将有助于乌镇在竞争中脱颖而出,占领主导地位。     

Compressive sensing with sparse domain division using probability

With the development of Compressive Sensing theory in recent years, many new algorithms have been introduced to this field. But still, these algorithms tend to judge the probability of the nonzero signal in each position of the sparse domain as the same, which is in fact not true. In this topic we discuss orthogonal coefficient distribution and divide the whole sparse domain into different parts using probability. With the method called Sparse domain Division using Probability (SDP), the reconstructed speed would increase 20～60 times without producing any negative effect on image quality at the same sampling rate.     

浅析贝塔精确度与证券投资风险的关系

本文通过选取我国证劵市场上沪市的50只权重股,将所选样本数据分为两个时期,利用回归分析的方法,对股票不同时期历史贝塔的关联性做了实证研究。结果表明,较大投资组合的贝塔包含了较多的这一组合的未来贝塔信息,单个证劵贝塔关于未来贝塔的信息则要少得多;在预测未来贝塔的能力方面,组合的历史贝塔要比单个证劵的历史贝塔强一些。因此,在理论上,股票组合的投资风险低于单个股票的投资风险,这和我们实际操作过程中的风险分散分担机制也是一致的。     

Application of a.c. impedance technique to the study of the proton diffusion process in the porous MnO2 electrode

The proton diffusion coefficient in γ-MnO₂ at various stages of discharge of an electrolytic manganese dioxide electrode has been determined taking into consideration the true molar volume and the electrochemically accessible surface area of MnO₂. The unique electrochemical cell which allows the electrode expansion during the discharge to be monitored in situ was reported. The a.c. impedance technique and the transmission line equivalent circuit were used. Electrode ohmic resistance, Faradaic resistance, and double-layer capacitance were also obtained by means of numerical fitting of the impedance data using the transmission line model.