一种数字影像地图无损水印方案(英文)

A lossless digital watermarking scheme,which was zero- perturbation on the content and graphics for the digital image maps,is proposed.During the simulation,the scheme has been utilized to model the copyright protection program as a commerce application.Compared to the traditional digital watermarking schemes,our scheme operates in redundancy areas of maps and is scalable to topology changes.Experimental results show that,with respect to the geometric attacks and image transformed,the performance of our scheme is better than the classical algorithms based space or frequency domain with much lower complexity..     

一种新的基于显著图的视线跟踪方法

针对现有视线跟踪系统设备复杂、标定过程繁琐等方面的不足,提出了一种新的基于显著图的视线跟踪方法。通过红外光源设备在人眼角膜上产生的光斑中心与瞳孔中心建立瞳孔-角膜反射向量,然后将该向量作为视觉特征重构了基于显著图的视线跟踪算法。实验结果证明,提出的方法不仅缓解了视线跟踪系统标定过程繁琐的问题,而且对提高系统的精度和健壮性有一定的促进作用,这为面向人机交互的视线跟踪研究提供了可行的低成本解决方案。     

TGSOM:一种用于数据聚类的动态自组织映射神经网络

针对传统Kohonen自组织特征映射(SOFM)神经网络模型结构需预先指定的限制,提出一种新的树形动态自组织映射(TGSOM)神经网络,当用于数据挖掘时该网络以其生成速度快可视性好具有显著优越性。该文详尽描述了该网络模型的生成算法,研究了算法中扩展因子的作用。扩展因子与训练样本数据的维数无关,其作用是控制网络的生长,扩展因子可以反映数据聚类的精度,即扩展因子值的大小与聚类精度的高低成正比。在聚类的不同阶段使用大小不等的扩展因子还可以实现层次聚类。     

一种基于改进的混沌猫映射的图像加密算法

混沌系统对初始条件和混沌参数非常敏感,生成的混沌序列具有非周期性和伪随机性的特性,近年来在图像加密领域中得到了广泛的应用。该文提出了一种基于改进的混沌猫映射的图像加密算法,该算法利用混沌猫映射和扩散函数相结合来对数字图像进行置乱加密。改进后的混沌猫映射不仅可以基于像素点进行空间域的变换加密,而且可以基于色度域进行变换加密,从而可以有效地抵抗统计攻击。实验结果表明,提出的算法能够得到令人满意的加密效果。     

卡诺图在数字电路分析和设计中的应用

卡诺图是数字电路中非常重要的分析和设计工具。通过若干实例,揭示了卡诺图的直观性和实用性,系统全面地掌握卡诺图的各种应用,可以大大简化数字电路分析和设计的过程,起到事半功倍的效果。     

Uniform Approximation of Discrete-Time Periodically Varying Systems

It is shown that the elements of a large class of discrete-time periodically varying nonlinear input-output maps can be uniformly approximated arbitrarily well, over infinite time intervals, using a certain structure that can be implemented in many ways using, for example, radial basis functions, polynomial functions, piecewise linear functions, sigmoids, or combinations of these functions. For the special case in which these functions are taken to be certain polynomial functions, the input-output map of our structure is a generalized finite discrete-time Volterra series. Results are given for the case in which inputs and outputs are defined on the integers. The case in which inputs and outputs are defined on the nonnegative integers is also addressed.     

Cartographic visualization of human trajectory data: overview and analysis

With the prevalence of mobile computing systems and location based services, large amounts of spatio-temporal data are nowadays being collected, representing the mobility of people performing various activities. However, despite the increasing interest in the exploration of these data, there are still open challenges in various application contexts, e.g. related to visualisation and human–computer interaction. In order to support the extraction of useful and relevant information from the spatio-temporal and the thematic properties associated with human trajectories, it is crucial to develop and study adequate interactive visualisation techniques. In addition to the properties of the visualisations themselves, it is important to take into consideration the types of information present within the data and, more importantly, the types of tasks that a user might need to consider in order to achieve a given goal. The understanding of these factors may, in turn, simplify the development and the assessment of a given interactive visualisation. In this paper, we present and analyse the most relevant concepts associated to these topics. In particular, our analysis addresses the main properties associated with (human) trajectory data, the main types of visualisation tasks/objectives that the users may require in order to analyse that data and the high-level classes of techniques for visualising trajectory data. In addition, this paper also presents an overview on a user study, conducted in function of this analysis, to compare two classes of visualisation techniques, namely static maps and space-time cubes, regarding their adequacy in helping users completing basic visualisation tasks.     

Selective laser sintering/melting (SLS/SLM) of pure Al,Al–Mg,and Al–Si powders: Effect of processing conditions and powder properties

Selective laser sintering/melting (SLS/SLM) processing difficulties of aluminium powders had been attributed to issues associated with laser–materials interaction only while neglecting the role of powder properties. This study provides a wholistic understanding of factors that influence the development of SLS/SLM processing window, densification, and microstructure of pure Al, Al–Mg, and Al–Si powders, fabricated in single and multiple layer parts by exploring the roles of processing and material parameters. It was demonstrated that similarities existing in the SLS/SLM processing maps of the powders could be attributed to similarities in their packing densities with the alloying addition of magnesium and silicon having no predominant effect on their processing maps’ boundaries. Rather, alloying addition has significant effect on the nature of the evolved surface morphology of SLS/SLM processed aluminium powders in their processing windows. In addition, the flow and solidification behaviour of the melt pool of the powders during single layer scan was strongly influenced by the particle morphology and oxygen content of the powders as well as applied energy density. The energy density in the range of 12–16 J/mm² was found to be the threshold below which SLS was predominant and above which SLM occurred for the investigated powders. Moreover, successful oxide disruption phenomena which is necessary for inter-particulate coalescence in multi-layered SLS/SLM processed aluminium powders are found to be mainly controlled by the amount of oxide in the as-received powder, the degree of the uniformity of the distribution of the surface oxide film covering the aluminium particles, the nature of thermal mismatch existing between the oxide film and the parent aluminium particle which was dependent on the phase present in the oxide film. Al–12 wt% Si powder is hereby affirmed as a suitable candidate material for SLS/SLM process due to its low thermal expansion and uniform distribution of its surface oxide films as well as the mullite phase in its oxide film.     

Pulse broadening factor as a criterion to assess nonlinear penalty of 40-Gbit/s RZ-DQPSK signals in dynamic transparent optical networks

The real-time scheduling and routing in dynamic transparent optical networks requires fast and accurate evaluation of transmission penalty caused by nonlinear kerr effects with different dispersion maps. However, the conventional method using nonlinear phase shift can only be applied to assess the nonlinear penalty with optimized dispersion maps. In this paper, we introduce pulse broadening factor into the approach and propose a novel method to accurately evaluate nonlinear penalty and numerically investigate the feasibility of our novel method in 40-Gb/s Return-to-Zero Differential Quadrature Phase-Shift Keying (RZ-DQPSK) systems. Simulation results show that our approach can achieve good evaluation performance even with non-optimized dispersion maps.     

Topological entropy of continuous transitive maps on the real line

The topological entropy of a continuous transitive map f : ? → ? is studied. We find lower bounds for the topological entropy of f and prove that transitive real maps can have finite entropy.