基于相关性与纹理度量的SVM隐写分析算法

为提高图像信息隐藏正确检测率,扩展隐写分析算法的适用范围,提出了一种新的基于最低有效位(LSB)的隐写分析方法,引入了一组基于相邻像素相关性和图像纹理复杂度的差值关系的高阶统计矩作为特征矢量。基于此特征量构造分类器,采用支持向量机(SVM)进行训练和分类。对1 600幅BMP图像在不同嵌入率情形下进行仿真实验,并与经典的RS(regular singular)隐写算法和GPC(gray-levelplane crossing)算法进行对比分析。结果表明,针对原始无损存储图像,基于该文建立的分类器的准确率高于目前的主流算法识别掩密图像,具有较可靠的盲检测性能。     

基于相关性与纹理度量的SVM隐写分析算法

为提高图像信息隐藏正确检测率,扩展隐写分析算法的适用范围,提出了一种新的基于最低有效位(LSB)的隐写分析方法,引入了一组基于相邻像素相关性和图像纹理复杂度的差值关系的高阶统计矩作为特征矢量。基于此特征量构造分类器,采用支持向量机(SVM)进行训练和分类。对1600幅BMP图像在不同嵌入率情形下进行仿真实验,并与经典的RS(regular singular)隐写算法和GPC(gray-level plane crossing)算法进行对比分析。结果表明,针对原始无损存储图像,基于该文建立的分类器的准确率高于目前的主流算法识别掩密图像,具有较可靠的盲检测性能。     

基于二重扰动SVM集成分类的JPEG图像隐写检测

针对目前大部分JPEG隐写分析方法主要采用单一支持向量机分类器,可能产生泛化能力恶化、分类精度难以提高等问题,提出了一种新的基于二重扰动SVM集成分类的JPEG图像隐写检测方法.利用多项式核函数和高斯核函数构造混合核函数模型,并用主成分分析法进行特征变换,去除冗余信息,最后在变换后的特征空间上进行模型参数和特征的二重扰动产生成员分类器,并用多数投票法对它们进行组合.实验结果表明,与传统方法相比,具有更高的JPEG隐写图像检测率.     

基于二重扰动SVM集成分类的JPEG图像隐写检测

针对目前大部分JPEG隐写分析方法主要采用单一支持向量机分类器,可能产生泛化能力恶化、分类精度难以提高等问题,提出了一种新的基于二重扰动SVM集成分类的JPEG图像隐写检测方法.利用多项式核函数和高斯核函数构造混合核函数模型,并用主成分分析法进行特征变换,去除冗余信息,最后在变换后的特征空间上进行模型参数和特征的二重扰动产生成员分类器,并用多数投票法对它们进行组合.实验结果表明,与传统方法相比,具有更高的JPEG隐写图像检测率.     

一种基于无监督学习的MB1隐写分析方法

为了提高针对混杂小样本集的MB1隐写算法的检测率,提出了一种泛化能力较强的MB1隐写分析方法.通过分析多种图像特征,在离散余弦变化(DCT)域选取对隐写敏感易变的特征,包括变分特征、块边界度量特征、共生矩阵特征和马尔可夫特征组成的108维特征向量,并以无监督学习中的支持向量数据描述法(SVDD)为分类器,使用含有混杂样本的小样本集进行训练,测试算法对隐写图像的检测率.实验结果表明,当检测相对嵌入率为40%以上的隐写图像时,检测率可靠度达到96%以上,明显高于其他2种基于支持向量机的经典算法.这说明本方法打破了其他方法对训练样本集的限制,提高了对混杂小样本集的MB1隐写算法的检测率.但由于它对混杂样本具有一定的容忍度,对较小嵌入率的隐写图像的检测率稍低.     

基于污染数据分析的隐写分析方法

隐写分析是信息隐藏技术的重要分支,大量的隐写软件利用彩色及灰度图像的最低有效比特位(LSB)隐藏秘密消息.基于污染数据分析,针对图像空域LSB隐写算法提出了一种新的隐写分析方法, 该方法不仅可以快速有效地检测出图像中秘密消息的存在性,同时还可以精确地估计出连续及随机间隔嵌入算法下所嵌入秘密消息的长度.     

针对空域明文LSB隐写的消息提取方法

在嵌入消息为明文的情况下,利用中英文字节比特的统计特性,改进了已有的针对空域连续最低有效位(LSB)隐写的消息提取方法,提高了提取消息的准确度;提出了一种针对空域随机LSB隐写的消息提取方法.该方法首先求出恢复隐写密钥的唯一解距,然后穷举隐写密钥空间,对每个密钥确定长度为T的隐写路径,提取此隐写路径上像素的LSB,并从该LSB序列的第一个比特开始间隔7采样获得一条子序列,若该子序列为全0或全1,则该密钥为真密钥,否则为伪密钥;同时还研究了漏检的情况.实验结果表明了本文方法的可行性和有效性.     

基于主成分分析的并行特征融合JPEG隐写检测

针对目前JPEG隐写检测方法的特征选取缺乏理论依据,特征冗余度高的问题,提出一种基于主成分分析进行并行特征融合的JPEG隐写分析方法.首先分析所选特征之间的互补性,然后用主成分分析进行特征变换,去除冗余信息,最后将特征并行融合.实验结果表明,和串行特征融合相比,本文方法具有更高的JPEG隐写图像检测率和更快的分类速度.     

基于深度置信网络与梯度提升决策树的糖尿病检测方法

针对糖尿病数据特征维度较高,单一分类器过度拟合导致性能受限,不能较好对糖尿病进行分类识别这一问题,提出了一种深度置信网(Deep Belief Networks,DBN)融合梯度提升决策树(Gradient Boosting Decision Tree,GBDT)的糖尿病检测算法(DBN-GBDT).该算法利用DBN对海量数据的特征提取和拟合复杂模型的能力,GBDT算法具有很强的泛化能力,将DBN用于特征提取和特征降维,GBDT方法用于分类.将提出的算法用于糖尿病数据分类识别,并与DBN、GBDT、SVM和随机森林四种经典方法进行对比.实验结果表明,该算法分类精度较高,稳定性更强,为糖尿病检测提供了新的方法.     

基于Multiwavelet广义高斯模型的图像盲隐写分析

针对目前图像盲隐写分析中提取的特征的有效性不高问题,提出了一种新的基于Multiwavelet广义高斯模型的图像盲隐写分析算法.采用Multiwavelet变换对样本图像进行多尺度分解,并使用广义高斯模型对每个子带的Multiwavelet系数进行建模,提取参数特征.利用这些参数特征训练支持向量机SVM(support vector machine)构成盲隐写分析算法的分类检测器.通过对大量图像样本进行测试,实验结果表明,和经典的Farid方法相比,提出的盲隐写分析算法提取的图像特征更加有效,具有更高的正确检测率.     

Markedness and its Interpretation in Language Use

Language markedness is a common phenomenon in languages, and is reflected from hearing, vision and sense, i.e. the variation in the three aspects such as phonology, morphology and semantics. This paper focuses on the interpretation of markedness in language use following the three perspectives, i.e. pragmatic interpretation, psychological interpretation and cognitive interpretation, with an aim to define the function of markedness.     

低渗透非均质砂岩油藏启动压力梯度研究

理论推导与室内实验相结合,建立了低渗透非均质砂岩油藏启动压力梯度确定方法。首先借助油藏流场与电场相似的原理,推导了非均质砂岩油藏启动压力梯度计算公式。其次基于稳定流实验方法,建立了非均质砂岩油藏启动压力梯度测试方法。结果表明:低渗透非均质砂岩油藏的启动压力梯度确定遵循两个等效原则。平面非均质油藏的启动压力梯度等于各级渗透率段的启动压力梯度关于长度的加权平均;纵向非均质油藏的启动压力梯度等于各渗透率层的启动压力梯度关于渗透率与渗流面积乘积的加权平均。研究成果可用于有效指导低渗透非均质砂岩油藏的合理井距确定,促进该类油藏的高效开发。     

On Tragic Consciousness In The Works By Ernest Hemingway

As an American modern novelist who were famous in the literary world, Hemingway was not a person who always followed the trend but a sharp observer. At the same time, he was a tragedy maestro, he paid great attention on existence, fate and end-result. The dramatis personae's tragedy of his works was an extreme limit by all means tragedy on the meaning of fearless challenge that failed. The beauty of tragedy was not produced on the destruction of life, but now this kind of value was in the impact activity. They performed for the reader about the tragedy on challenging for the limit and the death.     

Achieving Unusual States of Matter Under High Pressure

正The periodicity of the elements and the non-reactivity of the inner-shell electrons are two related principles of chemistry,rooted in the atomic shell structure.Within compounds,Group I elements,for example,invariably assume the+1 oxidation state,and their chemical properties differ completely from those of the p-block elements.These general rules govern our understanding of chemical structures and reactions.Using first principles calcula-     

Exchange-Correlation and Electronic Excitation Energies from Pairing Matrix Fluctuations

We have developed an adiabatic connection to formulate the ground-state exchange-correlation energy in terms of pairing matrix linear fluctuations.This formulation of the exchange-correlation energy opens a new channel for density functional approximations based on the many-body perturbation theory.We illustrate the potential of such approaches with an approximation based on the particle-particle Random Phase Approximation(pp-RPA).This re-     

Density Functional Theory for the Response of Periodic Systems to Electric Fields Based on the Vector Potential Approach

正The electronic and nuclear(structural/vibrational)response of 1D-3D nanoscale systems to electric fields gives rise to a host of optical,mechanical,spectral,etc.properties that are of high theoretical and applied interest.Due to the computational difficulty of treating such large systems it is convenient to model them as infinite and periodic(at least,in first approximation).The fundamental theoretical/computational problem in doing so is that     

On the Thermodynamic Limit for Responses to Static Electromagnetic Fields

For molecular systems,the quantum-mechanical treatment of their responses to static electromagnetic fields usually employs a scalar-potential treatment of the electric field and a vector-potential treatment of the magnetic field.Although the potential for each field separately is associated with the choice of an(unphysical)origin,the precise choice of the origin for the electrostatic field has little consequences for the results.This is different for the     

An affordable accurate evaluation of the binding conformations predicted by molecular docking studies in bio-system

Franck-Condon factors bridge the gap between theoretical modeling and experimental observations for molecular electronic spectroscopy and electron transfer.Under the displaced harmonic oscillator approximation,multidimensional Franck-Condon factors are decomposed into a product of many one-dimensional(1D)Franck-Condon(FC)factors,and each 1D-FC factor is associated with one Huang-Rhys factor that determines the leading contribution of     

Call for Papers

<正>"The Journal of Shanghai Normal University:Mathematics"is published by Shanghai Normal University as regular issues of The Journal of Shanghai Normal University each year from 2014 in English.The editors-in-chief of the issues are professors Yuhao Cong and Maoan Han.The Journal of Shanghai Normal University was started in 1958 with     

Journal of Donghua University ( English Edition) Contents of Volume 31

正~~