故障诊断测试系统通用报表生成接口库的设计

针对故障诊断测试系统的测试结果报表生成操作复杂、效率低下、格式难以统一的问题,文章提出了一种新的报表生成方法;设计了测试数据保存的通用数据结构,利用基于ActiveX的LabWindows/CVI与Word、Excel之间的通信技术对报表文档进行操作,生成报表并对文档中的文字和图表进行格式设置,编写了数据保存和报表生成的功能接口并封装成动态链接库,形成了规范的报表生成方案;通过使用此方法,保证了测试和数据保存的实时性,实现了统一、美观的格式控制,大大简化了测试程序的开发。     

一种基于积分投影的人眼定位方法

文章研究了人脸识别中的人眼定位这一重要环节。将经过预处理的人脸图像先通过积分投影变换法进行人脸定位,在定位后的人脸区域内用一定的矩形框搜索,给方框内黑色像素进行计数,当黑色像素个数达到某个比例时,将其标记为人眼位置侯选处。然后将小方框适当扩大,用canny算子算出人眼的边缘轮廓,并在候选位置中进一步确定人眼位置。实验结果表明本文采用的方法简单易行,具有较高的准确率和较强的光照鲁棒性。     

FlexRay总线架构下线控转向系统可靠性分析

文章在研究FlexRay总线理论基础上,对FlexRay总线式线控转向系统的可靠性进行研究,给出了具有容错结构的线控转向系统的方案。在对系统可靠性分析中采用FEMA的分析方法,有效的分析系统中的隐患;采用硬件冗余的方案设计出双通道冗余型的线控系统,大大提高FlexRay线控转向系统的可靠性要求。     

光纤到户（FTTH）的ODN工程设计及测试

文章针对PON系统的基本保护要求,提出了光分路器（OBD）设计原则;采用最坏值法对PON系统最远的用户终端,进行ODN光通道衰减核算;同时,对ODN光缆线路进行分段衰减测试和全程衰减测试,测试结果满足FTTH系统工程规范。根据现场试验的研究和测试结果,规范光纤到户（FTTH）工程系统的规划、设计、施工、监理及竣工验收等工作。     

Indeterminacy-aware service selection for reliable service composition

With the development of Internet and Web service technology, Web service composition has been an effective way to construct software applications; service selection is the crucial element in the composition process. However, the existing selection methods mostly generate static plans since they neglect the inherent stochastic and dynamic nature of Web services. As a result, Web service composition often inevitably terminates with failure. An indeterminacy-aware service selection algorithmbased on an improved Markov decision process (IMDP) has been designed for reliable service composition, but it suffers from higher computation complexity. Therefore, an efficient method is proposed, which can reduce the computation cost by converting the service selection problem based on IMDP into solving a nonhomogeneous linear equation set. Experimental results demonstrate the success rate of service composition has been improved greatly, whilst also reducing computation cost.     

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.