CCD弱目标图像条带噪声消除

光电经纬仪跟踪远距离目标时,在CCD上成像微弱。条带噪声的存在使图像质量下降,掩盖了有效的目标信息,对图像判读造成不利影响。针对条带噪声的功率谱,设计了改进的矩形低通滤波器。首先分析了条带噪声模型及其在频域的分布;然后,介绍了矩形低通滤波器通过加权的方式最大逼近真实噪声而实现噪声滤除的方法,通过实验进行矩形低通滤波器带宽的确定;最后,应用光电经纬仪CCD获得的弱目标图像进行去条带噪声实验,比较该方法与理想低通滤波及高斯带阻滤波去条带效果,结果表明该方法在有效地保留图像基本信息的前提下,获得最佳的去条带效果。     

移动P2P信息交互的实现

随着移动终端设备和网络的发展,移动对等实体间的信息共享已引起越来越广泛的关注。介绍了通过包括移动代理服务器（Mobile proxy）的对等网络及扩展eDonkey体系实现移动对等实体及其他移动环境中的信息共享方法,最后给出了对其发展前景的预测。     

考虑主缆弯曲刚度后对悬索桥的影响

通过完全无弯曲刚度的链条“主缆”模型与有一定弯曲刚度的铁丝“主缆”模型的对比试验,及针对试验情况所进行的有限元分析,初步研究了考虑悬索桥主缆弯曲刚度后的影响情况。试验结果以及数值模拟计算结果均表明,随着悬索桥跨度的增加,主缆垂跨比的减小,主缆实际存在的弯曲刚度对垂度的影响较大,如果再考虑索夹局部加强作用等的因素,则对一些悬索桥的受力和变形可能产生不利的影响,因此应该考虑主缆实际存在的弯曲刚度。     

双线盾构隧道施工过程相互影响的数值研究

首先针对双线盾构隧道施工特点,建立了考虑切口水压、土体的扰动、盾尾释放位移、盾尾注浆体的硬化效应,能够进行动态模拟的三维弹塑性有限元模型.然后采用该模型进行双线盾构隧道施工过程的数值模拟分析,计算结果与现场监控量测数据做了对比分析,验证了作者所建立的双线盾构隧道施工过程数值模型的适用性,并总结得出近间距隧道的施工中,后建隧道对先建隧道的影响规律,以及后建隧道自身相对与单条隧道时的变化规律.通过对平行隧道盾构法施工不同参数的对比研究表明,隧道间距是控制两隧道相互影响的最主要因素,地层损失率次之,然后是土体弹性模量.而隧道埋深、切口水压、盾尾注浆压力对两隧道相互影响的作用较小.通过对重叠隧道盾构法施工不同参数的对比研究,分别得出了两种开挖类型的重叠隧道相互影响的规律.从减小隧道间相互影响出发,证明了下伏隧道先行开挖优于上覆隧道先行开挖的情况.     

大型地下立交动态施工过程3D有限元分析

互通式地下立交是大型复杂的地下空间交通工程,目前国内外在这方面的研究和可供借鉴的成果还很少.互通式地下立交一般处于城市化水平高,地面建筑密集,地下管网复杂,路网不易改造的城市中心区,地下立交不同横断面处的地下空间结构形式是不同的,既有平交、双洞合一的大断面,也有双洞上下正交,动态施工力学复杂,影响因素众多.结合重庆市渝中区朝天门大型互通式地下立交可行性研究,通过三维弹塑性有限元数值模拟,对地下立交的平交(15°)和上下正交两种情况钻爆法动态施工力学进行研究,以检验可行性研究提出的方案的合理性,为地下立交施工方案优化提供科学依据.     

附带翻转工位双边装配线蚁群算法优化设计

双边装配线应用广泛,翻转工位操作能有效降低部分零件装配难度与操作风险,但增加了设计难度。基于此,研究了附带翻转工位操作的挖掘机底盘双边装配线规划设计问题,针对该问题提出了一种改进蚁群算法求解。给出了问题求解的启发式任务分配规则,提出可采用启发式任务选择规则以提高算法收敛速率。进而分析某型挖掘机底盘装配线得出先后约束关系图,将问题抽象为双边装配线优化设计问题。随后,采用两种蚁群算法进行附带翻转工位的装配线优化,分析比较了两种算法因结构差异对优化结果所造成的影响。     

An adaptive watermarking scheme for e-government document images

This paper proposes an adaptive watermarking scheme for e-government document images. The adaptive scheme combines the discrete cosine transform (DCT) and the singular value decomposition (SVD) using luminance masking. As a core of masking model in the human visual system (HVS), luminance masking is implemented to improve noise sensitivity. Genetic algorithm (GA), subsequently, is employed for the optimization of the scaling factor of the masking. Involving a number of steps, the scheme proposed through this study begins by calculating the mask of the host image using luminance masking. It is then continued by transforming the mask on each area into all frequencies domain. The watermark image, following this, is embedded by modifying the singular values of DCT-transformed host image with singular values of mask coefficient of host image and the control parameter of DCT-transformed watermark image using Genetic Algorithm (GA). The use of both the singular values and the control parameter respectively, in this case, is not only to improve the sensitivity of the watermark performance but also to avoid the false positive problem. The watermark image, afterwards, is extracted from the distorted images. The experiment results show the improved adaptive performance of the proposed scheme is in resistant to several types of attacks in comparison with the previous schemes; the adaptive performance refers to the adaptive parameter of the luminance masking functioned to improve the performance or robustness of an image from any attacks.     

An algorithm for recognizing palm polygons

A polygonP is said to be apalm polygon if there exists a pointxP such that the Euclidean shortest path fromx to any pointyP makes only left turns or only right turns. The set of all such pointsx is called thepalm kernel. In this paper we propose an O(E) time algorithm for recognizing a palm polygonP, whereE is the size of the visibility graph ofP. The algorithm recognizes the given polygonP as a palm polygon by computing the palm kernel ofP. If the palm kernel is not empty,P is a palm polygon.The extended abstract of this paper was reported at the Second Canadian Conference in Computational Geometry, pp. 246–251, 1990     

基于多重小波变换与新阈值函数的去噪方法研究*

基于小波分析的特点,提出了一种对信号数据进行多重小波变换阈值去噪的方法。新的阈值函数的构造是在研究D.L.Donoho和I.M.Johnstone提出的小波阈值去噪方法的基础上完成的。与传统的软硬阈值函数相比,新阈值函数在整个定义域内统一定义,表达式简单易于计算,与软阈值函数一样具有连续性,而且是高阶可导的,便于进行各种数学处理,克服了硬阈值函数不连续、软阈值函数中估计小波系数与分解小波系数之间存在着恒定偏差的缺点。仿真实验结果表明,采用新的阈值函数的去噪效果在信噪比增益和最小均方误差意义上均优于传统的软     

An Examination of Qubit Neural Network in Controlling an Inverted Pendulum

The Qubit neuron model is a new non-standard computing scheme that has been found by simulations to have efficient processing abilities. In this paper we investigate the usefulness of the model for a non linear kinetic control application of an inverted pendulum on a cart. Simulations show that a neural network based on Qubit neurons would swing up and stabilize the pendulum, yet it also requires a shorter range over which the cart moves as compared to a conventional neural network model.