Salient structural elements based texture synthesis

Salient structural elements are ubiquitous in natural textures, and their distribution exhibits some stochastic distribution features. Current texture synthesis algorithms can neither preserve the integrity of the elements nor capture this distributive information. We present an algorithm to treat this high-level visual information. Here, we address the issue by taking specific care of the structural elements. Our texture synthesis process grows the target texture one structural element at a time. A Markov ...     

云平台信息安全整体保护技术研究

目前云计算发展迅速,云平台的安全问题也应引起足够重视。本文根据云平台的结构特点,结合信息系统整体保护要求,提出了一种针对云平台的信息安全整体保护技术方案。该方案将云平台分为云计算环境,云区域边界,云通信网络以及云安全管理中心四个部分,分别对这四部分做了安全性分析,并提出了每一部分的安全保障技术设计要求。     

New Riemannian techniques for directional and tensorial image data

This paper develops new geometrical filtering and edge detection algorithms for processing non-Euclidean image data. We view image data as residing on a Riemannian manifold, and we work with a representation based on the exponential map for this manifold together with the Riemannian weighted mean of image data. We show how the weighted mean can be efficiently computed using Newton's method, which converges faster than the gradient descent method described elsewhere in the literature. Based on geodesic distances and the exponential map, we extend the classical median filter and the Perona-Malik anisotropic diffusion technique to smooth non-Euclidean image data. We then propose an anisotropic Gaussian kernel for image filtering, and we also show how both the median filter and the anisotropic Gaussian filter can be combined to develop a new edge preserving filter, which is effective at removing both Gaussian noise and impulse noise. By using the intrinsic metric of the feature manifold, we also generalise Di Zenzo's structure tensor to non-Euclidean images for edge detection. We demonstrate the applications of our Riemannian filtering and edge detection algorithms both on directional and tensor-valued images.     

μC/OS-Ⅱ实时操作系统中任务延时的研究与改进

通过介绍μC/OS-Ⅱ实时操作系统中的任务延时功能,分析了系统中的任务延时的优缺点.针对任务延时占用处理器时间与任务总数有关和扫描各个任务占用大量处理器时间的问题,对操作系统中的任务延时机制进行改进.改进后的操作系统在基于第二代Cortex-M3内核的LPC1768处理器上测试,通过软件仿真,得出此方法可以提高系统的实...     

On improved calibration method for the catadioptric omnidirectional vision with a single viewpoint

The single viewpoint constraint is a principal optical characteristic for most catadioptric omnidirectional vision. Single viewpoint catadioptric omnidirectional vision is very useful because it allows the generation of geometrically correct perspective images from one omnidirectional image. Therefore precise calibration for single viewpoint constraint is needed during system assembling. However, in most image detection based calibration methods, the nonlinear optical distortion brought by lens is often neglected. Hence the calibration precision is poor. In this paper, a new calibration method of single viewpoint constraint for the catadioptric omni-directional vision is proposed. Firstly, an image correction algorithm is obtained by training a neural network. Then, according to characteristics of the space circular perspective projection, the corrected image of the mirror boundary is used to estimate its position and attitude relative to the camera to guide the calibration. Since the estimate is conducted based on actual imaging model rather than the simplified model, the estimate error is largely reduced, and the calibration accuracy is significantly improved. Experiments are conducted on simulated images and real images to show the accuracy and the effectiveness of the proposed method.     

Hybrid differential evolution and Nelder�CMead algorithm with re-optimization

Nonlinear optimization algorithms could be divided into local exploitation methods such as Nelder–Mead (NM) algorithm and global exploration ones, such as differential evolution (DE). The former searches fast yet could be easily trapped by local optimum, whereas the latter possesses better convergence quality. This paper proposes hybrid differential evolution and NM algorithm with re-optimization, called as DE-NMR. At first a modified NM, called NMR is presented. It re-optimizes from the optimum point at the first time and thus being able to jump out of local optimum, exhibits better properties than NM. Then, NMR is combined with DE. To deal with equal constraints, adaptive penalty function method is adopted in DE-NMR, which relaxes equal constraints into unequal constrained functions with an adaptive relaxation parameter that varies with iteration. Benchmark optimization problems as well as engineering design problems are used to experiment the performance of DE-NMR, with the number of function evaluation times being employed as the main index of measuring convergence speed, and objective function values as the main index of optimum’s quality. Non-parametric tests are employed in comparing results with other global optimization algorithms. Results illustrate the fast convergence speed of DE-NMR.     

Combination framework of rendezvous algorithm for multi‐agent systems with limited sensing ranges

In this paper, we present a novel rendezvous algorithm framework ‐ the combination framework, which is named after the term convex combination in computational geometry. The convergence of the proposed algorithms is proved based on the novel tools from the recent results in graph theory and consensus study. It has been observed that the circumcenter algorithm can be considered as a special case of the combination framework. Moreover, the relevant analysis provides us a novel viewpoint on designing and the rendezvous rate of rendezvous algorithms for networked multi‐agent systems with limited sensing ranges. Copyright © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

一种基于UML的实时工作流建模方法研究

实时系统由于其业务对时间要求的特殊性,使得传统工作流技术难以满足其需求.在传统工作流的基础上,针对实时系统提出了实时工作流的概念,并建立了实时工作流元模型.与传统的工作流相比,主要对工作流的时间约束和异常处理进行了考虑.在活动上扩展了启动时间和执行时间,在工作流过程上扩展了执行时间,在并发活动上扩展了并发时间约束等,此外,元模型中还考虑了活动的超时异常以及应用程序和活动之间的执行关系.为了能够利用实时工作流元模型进行实时工作流建模,通过扩展UML定义了一种实时工作流描述语言,并分别从设计要求、定义技术和profile三个方面对实时工作流描述语言进行了阐述,给出了实时工作流的建模规则.最后结合船舶指控系统的具体实例,对建模方法进行了说明.     

一种新型监狱使用的物联网节点设计

一种新型智能手铐作为物联网的节点,其主要利用指纹和电子滚码通过优先级进行开关锁来加强安全性,并且通过上位机能够实时地监控手铐的开关状态;同时加上了GPS定位功能,由上位机监控节点所在的位置和移动轨迹,并且系统每小时做一次监测结果备份,监察员可以调用任意时间段的数据.这种新型手铐运用物联网技术便于对犯人进行统一管理和监控,减轻了监狱监控管理人员的负担,并且在犯人逃跑过程中可以起到有效跟踪追捕功能.主要介绍了系统的整体架构、软硬件设计技术和系统功能.     

基于指纹的数字信息加密算法

根据密钥产生和管理过程的复杂性,为增强数字信息安全性,提出一种基于指纹的数字信息加密算法。该算法利用指纹的唯一性和稳定性,将指纹特征矩阵作为密钥。解码时,根据指纹匹配后得到的特征矩阵和密文,对秘密信息进行恢复。实验结果表明,该算法借助指纹识别的安全性增强了密钥安全性,简化了密钥管理,其二值矩阵运算效率很高,便于硬件实现。