一种迭代级联混沌扩频序列及其性能分析

针对单级混沌映射结构简单、复杂度低的特点,将改进型Logistic混沌映射和Chebyshev混沌映射通过迭代级联构造出一种新型混沌映射,有效扩展了混沌系统的密钥空间。基于提出的新型混沌映射通过数字量化处理得到混沌扩频序列,对其性能进行仿真分析并与传统单级映射混沌序列进行比较,结果表明该序列拥有良好的相关性和平衡性,序列复杂度更高,抗干扰能力更强。     

Logistic混沌扰动三角形密码体制

针对多变量三角形体制不能抵抗线性攻击的问题,结合多变量密码体制与混沌理论建立混沌扰动多变量三角形体制。建立Logistic混沌映射的同步系统,并将Logistic映射在有限域上离散化。通过在三角形体制中增加Logistic混沌扰动,改变多变量三角形密码体制的中心映射的结构,消除多变量三角形体制的中心映射方程组之间存在的线性关系。通过理论分析证明提出的Logistic混浊扰动三角形密码体制能抵抗线性化攻击,提高了Jonquières体制的安全性。     

基于混沌优化的最优运输路径问题研究

在分析Logistic混沌序列遍历性的基础上,将Logistic混沌序列映射到多极点目标函数的搜索区间来搜索全局最优解。研究混沌优化算法的一般步骤和算例分析,并将混沌优化算法应用于运输路径的最优化选择问题中。研究结果表明了混沌优化算法具有较好的全局搜索最优解能力,同时也验证了其在最优运输路径选择上的可行性和有效性。     

基于群体适应度方差的自适应混沌粒子群算法*

已有的混沌粒子群算法多使用Logistic混沌映射,但Logistic混沌映射产生的混沌序列不够均匀,影响了混沌粒子群算法的性能。提出在混沌粒子群算法中引入均匀性更好的An混沌映射,利用An混沌映射初始化粒子群的位置和速度,并通过适应度方差的变化来自适应控制部分粒子进行混沌更新,来改善混沌粒子群算法的性能。数值仿真的结果表明,改进算法的收敛性和全局搜索能力都有所提高,能有效避免早熟收敛。     

基于双混沌映射的图像加密算法

提出了一种基于Logistic和Henon混沌映射的图像加密方法.首先利用Logistic混沌动力学系统产生的混沌序列,通过动态量化算法增强其随机性和复杂性,对原始图像进行混沌置乱,得到置乱图像.然后对Henon混沌映射产生的序列进行量化变换,产生"异或"矩阵,与置乱后的图像进行"异或",实现对图像的加密.仿真实验表明,该方法具有良好的加密效果和较强的安全性.     

基于复合混沌系统的图像加密

研究了一个基于复合混沌系统的图像加密系统。在该加密系统中,使用具有复杂动力学特性的三维Chen系统和一维Logistic混沌映射,并以特定方式将两个混沌系统的输出序列复合起来,通过异或操作实现了对图像的快速加密处理。对该系统进行数值实验和安全性分析,结果表明该系统不但拥有大的密钥空间,而且对密钥和明文很敏感,具有优良的扩散性能和扰乱性能,并能抵抗已知明文攻击和选择明文攻击。     

基于Baker映射和量子混沌的图像加密算法

针对图像加密,研究一种复合混沌加密算法。采用量子Logistic混沌序列与Baker映射置乱后的图像进行复合加密运算。首先,用Baker映射对图像分块进行置乱,再用量子Logistic混沌与置乱后图像进行扩散加密运算。该算法通过引入量子混沌系统,解决了Logistic混沌系统随机性差、控制参数少的问题,大大增加了破译难度。该方案改善了计算机对浮点数运算精度丢失造成的混沌系统出现周期性这一固有问题。实验结果分析得到,该加密方案秘钥空间大、安全性好。     

基于外部密钥的多混沌系统的图像加密算法

提出一种基于外部密钥的多混沌系统的图像加密算法。该算法利用Tent混沌映射的均匀分布特性及Logistic映射对初值的高敏感性分别完成对图像像素的置乱和扩散,利用Chebyshev混沌序列具有较好平衡性和伪随机性的特点作为外部密钥,控制Tent映射和Logistic映射的初值和参数,充分利用三个简单的一维混动映射的特性设计了一种有效的图像加密算法。仿真表明,该算法具有很大的密钥空间,对密钥的初值具有很高的敏感性,可以有效地抵御统计攻击和穷举攻击,具有很高的安全性和实用价值。     

基于扰动法的抗退化数字混沌系统研究

研究数字混沌系统的退化问题对混沌密码学的发展有重要意义，扰动法能有效改善数字混沌系统的退化行为。首次提出对一维Chebyshev混沌系统的全部扰动对象进行扰动的方法，使Chebyshev映射表达式的每一个部分都被扰动源所影响，从而达到抗退化的目的。还对改进方案生成混沌序列的性能进行了对比与分析，结果表明，上述方案在低有限精度情况下不仅大大延长了数字Chebyshev混沌系统周期，使系统的动力学性能得到提高，扩展了密钥空间，可用于混沌密码算法的设计中。     

基于L-P混沌映射和AES的图像加密算法

针对AES加密算法轮密钥的相关性强,容易遭遇强力攻击和Square攻击,提出了基于L-P混沌映射和AES的图像加密算法.加密时,先结合图像明文信息,确定一维混沌映射Logistic和PWLCM的相关参数,并分别进行迭代,为产生混沌序列做准备.再次将Logistic和PWLCM混沌映射交叉迭代,产生的两个混沌序列进行异或扩散操作,作为初始轮密钥,在AES加密操作前,先将状态矩阵的奇偶行分别与两个混沌序列进行异或扩散操作,并减少AES算法轮数,从而产生密文图像.解密时,先通过MD5数字签名算法,获取加密时混沌映射Logistic和PWLCM的相关参数,再按加密的逆过程进行解密.通过MATLAB仿真,分析算法的性能及安全性,包括密钥敏感性、直方图、信息熵、像素相关性、差分攻击、鲁棒性,抗剪切能力、运行时间等,结果显示,相对于标准AES图像加密算法,减少了运行时间,具有更好的安全性.     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

基于QTE的蒙古文显示机制研究与实现

蒙古语言是中国蒙古族使用的通用语言,由于蒙古文区别于其他文字的书写方式和其自身变形机制等特点,在很多通用的文字处理引擎中都不被支持。在嵌入式产品开发与应用领域中Linux加QTE已经成为流行方式。该文给出了一种在QTE环境上实现基于标准Unicode的蒙古文点阵显示和变形算法, 并自定义了支持蒙古文的QTE组件,扩展了QTE功能,为在Linux加QTE方式的嵌入式体系结构中处理蒙古文提供了一种解决方法。