一种主机与网络相结合的漏洞扫描工具的设计与实现

计算机安全问题是在信息化过程中急需解决的问题 ,而安全漏洞的发现对保护系统安全有着非常重要的意义。网络管理人员由于种种原因 ,很难及时、全面地测试系统的安全性。因此 ,设计一种能代替他们进行测试的工具就显得十分必要。本文首先对漏洞扫描的原理进行了分析 ,主要介绍了一种主机与网络相结合的安全漏洞扫描的设计及实现。     

工业CT技术在无损检测炸药部件中的应用综述

综述了美国能源部的有关单位将工业ＣＴ技术用于高能炸药无损检测的研究状况，劳伦斯利弗莫尔国家实验室（ＬＬＮＬ）洛斯阿拉莫斯国家实验室（ＬＡＮＬ）和潘台克斯工厂（ＰａｎｔｅｘＰｌａｎｔ）在这方面做的大量工作，包括ＣＴ机的建造，实验方法的制定和图像的重建等。测试样品有ＰＢＸ－９５０２，ＰＢＸ－９５０１和ＬＸ－１０－２炸药的药饼和半球，对ＣＴ技术在无损检测高能炸药方面的实用性和优越性作了评价。     

基于终端-服务器模式的扫描仪图像获取技术

微软的终端-服务器（Terrminal-Server）模式是一种瘦客户机计算模式（Thin—Client／Server）,基于微软的RDP协议。作为C／S结构的一种,TS模式具有TCO低、高管理效率、良好用户操作接口和界面等众多优点,已成为企业内部极力推广的模式。在基于终端-服务器模式的扫描仪图像获取技术研究的基础上,提出了扫描仪图像采集传输模型以及相应的伪扫描仪驱动仿真技术。同时,通过对传输过程的优化,图像数据在任何网络质量环境下都能进行高效率的传输,从而实现了扫描仪、终端、服务器三者之间的无缝连接。     

Scanning Depth of Route Panorama Based on Stationary Blur

This work achieves an efficient acquisition of scenes and their depths along long streets. A camera is mounted on a vehicle moving along a straight or a mildly curved path and a sampling line properly set in the camera frame scans the 1D images over scenes continuously to form a 2D route panorama. This paper proposes a method to estimate the depth from the camera path by analyzing a phenomenon called stationary blur in the route panorama. This temporal blur is a perspective effect in parallel projection yielded from the sampling slit with a physical width. We analyze the behavior of the stationary blur with respect to the scene depth, vehicle path, and camera properties. Based on that, we develop an adaptive filter to evaluate the degree of the blur for depth estimation, which avoids error-prone feature matching or tracking in capturing complex street scenes and facilitates real time sensing. The method also uses much less data than the structure from motion approach so that it can extend the sensing area significantly. The resulting route panorama with depth information is useful for urban visualization, monitoring, navigation, and modeling.     

一种闭环微纳定位扫描系统设计

针对小推力压电陶瓷的特性,提出了一种闭环微纳定位扫描系统设计。该系统以单片机80C196KC为核心,使用12位A／D转换器MAX120和12位D／A转换器DA7521做D／A转换,模拟驱动部分采用前置低压误差运放和后置高压精密运放组成双级放大模块;控制部分采用Fuzzy-PID复合控制算法进行非线性处理,很好地改善了压电陶瓷的迟滞、蠕变、非线性等不足,且提高了控制系统的精度。将本系统应用于白光相移干涉检测,实验结果表明：闭环电压控制的最大误差为18mV,置位重复精度为6nm,系统相对误差为0．15％;在位移量为10μm的时间一位移阶跃响应曲线中阶越响应时间约为20ms,且在电压为80V的蠕动曲线中,3min内的蠕变为3．6％,3min以后变化开始缓慢。     

Laser range scanner based on self-calibration techniques using coplanarities and metric constraints

In this paper, we propose a novel method to achieve both dense 3D reconstruction of the scene and estimation of the camera intrinsic parameters by using coplanarities and other constraints (e.g., orthogonalities or parallelisms) derived from relations between planes in the scene and reflected curves of line lasers captured by a single camera. In our study, we categorize coplanarities in the scene into two types: implicit coplanarities, which can be observed as reflected curves of line lasers, and explicit coplanarities, which are, for example, observed as walls of a building. By using both types of coplanarities, we can construct simultaneous equations and can solve them up to four degrees of freedom. To upgrade the solution to the Euclidean space and estimate the camera intrinsic parameters, we can use metric constraints such as orthogonalities of the planes. Such metric constraints are given by, for example, observing the corners of rectangular boxes in the scene, or using special laser projecting device composed of two line lasers whose laser planes are configured to be perpendicular.     

孔网参数测量技术在矿山爆破中的应用

工程中发现爆破效果不稳定,具有偶然误差的特点,从爆破设计和施工中查找原因。以泰玛士矿爆破实践为例,采用激光扫描仪和钻孔测斜仪,测出代表台阶面和钻孔轨迹的空间点坐标,研究钻孔与自由面、钻孔与钻孔之间的空间关系,通过三维图形软件计算真实的爆破参数,优化设计,指导施工,可以取得稳定的爆破效果。结果表明:爆破设计和施工中的钻孔偏移普遍存在,它是导致爆破设计参数失真、爆破效果不稳定的主要因素;控制偏移误差的发生及其负面影响,孔网参数测量是技术支撑,工作程序是技术应用的规范;根据孔网参数测量数据分析发生钻孔偏移的具体原因,针对性解决问题并预防错误重复发生。     

基于补丁引发新漏洞的防攻击方法研究

文章针对漏洞补丁的修补方法进行了深入研究,分析了漏洞补丁后可能引入新的安全隐患,提出了基于漏洞补丁引发新漏洞的漏洞挖掘方法,并进行了方法论证.最后以使用此方法发现的Windows操作系统未知漏洞案例验证了该方法的有效性.     

Identification and optimization of key process parameters in noncontact laser scanning for reverse engineering

This Extended Technical Note shows that the final accuracy level of reverse engineered surfaces depends on scanning distance and scanning angle of the laser beam, hence it also depends on the morphology of the scanned objects. On scanning strongly curved objects, such as the ones with free form surfaces, the distance and impact angle of the laser beam are changing continuously during the scanning process. On the basis of these, two critical parameters are specified for the design model, which make it possible to predict these two factors in advance, depending on the morphology of the scanned object. First, a mathematical-statistical design model of the scanning process is generated, which relies on ANOVA (analysis of variance) and DOE (design of experiments). In the next step, a fitness function is optimized by the genetic algorithm (GA) program. This optimization improves the accuracy of the final scanned surfaces, in terms of the minimum standard deviation values of reverse engineered 3D surface model. The proposed approach was confirmed in a case study, which is presented at the end of this Technical Note.     

A portable stereo vision system for whole body surface imaging

This paper presents a whole body surface imaging system based on stereo vision technology. We have adopted a compact and economical configuration which involves only four stereo units to image the frontal and rear sides of the body. The success of the system depends on a stereo matching process that can effectively segment the body from the background in addition to recovering sufficient geometric details. For this purpose, we have developed a novel sub-pixel, dense stereo matching algorithm which includes two major phases. In the first phase, the foreground is accurately segmented with the help of a predefined virtual interface in the disparity space image, and a coarse disparity map is generated with block matching. In the second phase, local least squares matching is performed in combination with global optimization within a regularization framework, so as to ensure both accuracy and reliability. Our experimental results show that the system can realistically capture smooth and complete whole body shapes with high accuracy.