医院门诊部局域网和设计实现

分析医院门诊部局域网和实现的功能,并讲解基于ASP实现病人档案数据调取和交换。     

融合全局和局部描述的图像检索方法

针对基于内容的图像检索中全局描述缺乏空间位置信息及局部描述面临图像分割的问题,提出了一种基于全局颜色特征和局部Gabor小波纹理特征的图像检索方法.在整幅图上提取MPEG-7主颜色描述算子作为全局描述.将图像划分为5个有重叠的子区域,提取Gabor纹理特征与颜色矩构成局部描述,提出了改进的豪斯多夫距离并将其应用在局部描述的整体匹配中,克服了因图像的平移、旋转而造成检索率低的问题.融合全局相似度和局部相似度获得最终相似度.基于Corel数据库的实验结果表明了该方法的有效性.     

基于混沌粒子群优化的约束状态反馈预测控制算法

提出一种基于混沌粒子群优化的约束状态反馈预测控制算法,用于解决带有输入约束和状态约束的控制问题.将混沌粒子群优化引入到约束状态反馈预测控制的滚动优化过程中,增强了算法在约束范围内的局部搜索和全局搜索能力.通过对一个实际的带有约束的线性离散系统控制优化问题的解决,验证了基于混沌粒子群优化的状态反馈预测控制算法的可行性和有效性,与传统的二次规划算法的比较结果说明了此算法的优越性,证明了状态反馈预测控制系统良好的鲁棒性.     

注蒸汽热采稠油油藏数值模拟自适应网法计算软件的设计开发

注蒸汽热采稠油是一个带有相变的多孔介质中多相流动问题。利用自适应网格法动态追踪油藏中的温度和饱和度锋面,以大幅度提高计算速度。在对渗透率空间分布不均匀、油藏区域分布不同种类输运性质岩石、裂缝-孔隙双重介质、非规则边界及内部含有断层油藏等复杂地层注蒸汽热采稠油问题开展自适应网格法的研究基础上,自主开发了注蒸汽热采稠油油藏数值模拟自适应网格法计算软件。该软件具有较高的计算精度和稳定性,可满足科研生产需求。     

全局优化的一类新的F-C函数

针对求解全局优化问题,有很多种求解方法。文中提出了一种快速求解一般无约束最优化问题的辅助函数方法。即F-C函数方法。该方法与填充函数法和跨越函数法相比较,既有相同点又有不同点。F-C函数法最大的优点就是在极小化F-C函数阶段中只需要进行一次局部极小化算法就能得到比当前极小值更低的目标函数局部极小点。文中在无Lipschitz连续的条件下,给出了一类新的求解全局优化问题的F-C函数。文中讨论了该F-C函数的优良性质并对该函数设计了相应的算法。最后,通过数值试验表明该F-C函数方法具有有效性和可行性。     

LDAP认证技术在油田生产系统中的设计与实现

根据采用单一用户登录应用系统的要求,提出一种基于LDAP的双重认证方式。以用户认证为背景,首先对LDAP基本原理及体系结构进行简单描述,然后设计并实现基于LDAP验证与本地验证相结合的双重认证方式。本文对认证方法的特点进行阐述,并成功应用于青海油田油气水井远程计量传输发布系统。     

A comparison of local parametric C Bézier interpolants for triangular meshes

Parametric curved shape surface schemes interpolating vertices and normals of a given triangular mesh with arbitrary topology are widely used in computer graphics for gaming and real-time rendering due to their ability to effectively represent any surface of arbitrary genus. In this context, continuous curved shape surface schemes using only the information related to the triangle corresponding to the patch under construction, emerged as attractive solutions responding to the requirements of resource-limited hardware environments. In this paper we provide a unifying comparison of the local parametric C⁰ curved shape schemes we are aware of, based on a reformulation of their original constructions in terms of polynomial Bézier triangles. With this reformulation we find a geometric interpretation of all the schemes that allows us to analyse their strengths and shortcomings from a geometrical point of view. Further, we compare the four schemes with respect to their computational costs, their reproduction capabilities of analytic surfaces and their response to different surface interrogation methods on arbitrary triangle meshes with a low triangle count that actually occur in their real-world use.     

A heuristic approach for packing identical rectangles in convex regions

In this paper we propose a heuristic approach for the problem of packing equal rectangles within a convex region. The approach is based on an Iterated Local Search scheme, in which the key step is the perturbation move. Different perturbation moves, both combinatorial and continuous ones, are proposed and compared through extensive computational experiments on a set of test instances. The overall results are quite encouraging.     

TCP流量的多尺度分析

基于小波技术对多组局域网和广域网流量的实测数据进行了全局缩放性质和局部缩放性质的研究。讨论了分形高斯噪声模型和多分形小波模型。在全局缩放性质的研究中,讨论了一类Hurst参数估计器．并将实际数据与分形高斯噪声模型相比较,发现大时间尺度上的网络流量可以用分形高斯噪声来近似。在局部缩放性质的研究中,分析了局部缩放指数及相应的结构函数．并将实际数据与多分形小波模型相比较,发现在小时间尺度上,无论是分形高斯噪声还是多分形小波模型都不能很好地近似网络流量,大小时间尺度的划分在典型的往返时间附近。     

Line Extraction in 2D Range Images for Mobile Robotics

This paper presents a geometrical feature detection framework for use with conventional 2D laser rangefinders. This framework is composed of three main procedures: data pre-processing, breakpoint detection and line extraction. In data pre-processing, low-level data organization and processing are discussed, with emphasis to sensor bias compensation. Breakpoint detection allows to determine sequences of measurements which are not interrupted by scanning surface changing. Two breakpoint detectors are investigated, one based on adaptive thresholding, and the other on Kalman filtering. Implementation and tuning of both detectors are also investigated. Line extraction is performed to each continuous scan sequence in a range image by applying line kernels. We have investigated two classic kernels, commonly used in mobile robots, and our Split-and-Merge Fuzzy (SMF) line extractor. SMF employs fuzzy clustering in a split-and-merge framework without the need to guess the number of clusters. Qualitative and quantitative comparisons using simulated and real images illustrate the main characteristics of the framework when using different methods for breakpoint and line detection. These comparisons illustrate the characteristics of each estimator, which can be exploited according to the platform computing power and the application accuracy requirements.