基于B／S模式网络系统安全性研究与实现

文章给出了B／S模式下保证系统安全的主要实现方法。在系统设计以Struts结构为架构模式,结合J2EE技术,开发了网络教学管理与评估系统平台;该系统具有较强的网络安全性。文章给出了采用由容器提供的安全服务和由应用程序提供的安全服务共同设计实现的网络系统安全措施。同时探索了基于B／S模式的多种安全技术,研究了该类信息系统在安全性方面的特点。该网络教学管理与评估系统实际运行表明,文章给出的网络系统安全措施具有较强的推广应用价值。     

基于校园GIS环境的排课系统设计研究

结合学校实际情况和发展现状,提出基于校园GIS环境的排课系统设计方法,在传统的字符信息中融入空间地理信息,对排课问题中的各种约束条件进行分析,通过设定合理的排课原则和优先级,完成课程的编排,同时实现以校园GIS为基础的可视化的信息管理功能。     

基于重要目标区的三维地形快速渲染方法

三维地形的显示需要绘制大量的三角形网格,为了提高地形显示速度目前广泛采取了三角形网格简化技术。针对弹道导弹作战区域地形的特殊性,提出了一种基于重要目标区的网格简化方法。从BMP位图读取地形高度信息,以四叉树保存网格数据,按照区域重要性静态确定地形网格疏密程度。并采用DirectX平台,实现了导弹战区三维地形显示,提高了渲染效率。     

一种基于完全独立集的排课算法

班级、教师、课程、教室、时间是课表的基本要素,通过把排课转化为求图的完全独立集,解决了时间冲突问题和合班课问题;根据教室资源限制,对独立集的个数和大小进行控制,解决了教室完全匹配问题和一门课程的不同教室安排问题.为实现排课软件提供了一个面向实际的算法.     

基于物理模型的烟雾模拟

在分析研究流体物理特性算法基础上,提出一种新的烟雾模拟实现方法。该方法基于物理模型的求解简化方程模拟烟雾的动态变化过程。模型中采用了非粘性欧拉方程,通常它比其他用粘性Navier-Stoke方程建模的更适合用来对气体进行建模并且减少计算量。实验验证该模型还可以正确处理烟雾与移动的物体之间的相互作用。     

Proteomic analysis of sera of asymptomatic,early‐stage patients with Wilson's disease

Wilson's disease (WD) is characterized by excessive accumulation of intracellular copper in liver and extrahepatic tissues, leading to significant oxidative stress and tissue damage. To date, several diagnostic biomarkers for WD such as serum ceruloplasmin, serum or urine copper levels and copper content in liver have been identified. However, these biomarkers may not be convincing for the diagnosis in some WD patients. To identify additional novel diagnostic biomarkers, we compared the serum protein profiles of asymptomatic childhood WD patients (n=20), without neurologic manifestation or liver cirrhosis, with normal controls (n=13). Fourteen spots, five up‐regulated and nine down‐regulated (>2‐fold), were differentially expressed in WD patients in comparison to normal control on 2‐DE. Among them, three spots were down‐regulated in both male and female WD. MS/MS analysis revealed that the three spots were complement component C3, complement factor B and alpha‐2 macroglobulin. By comparative proteome analysis, complement component C3, complement factor B and alpha‐2 macroglobulin, which are related to oxidative stress and inflammation, turned out to be good candidates for novel diagnostic biomarkers for early stages of WD.     

Reducing control points in lofted B-spline surface interpolation using common knot vector determination

A new algorithm for reducing control points in lofted surface interpolation to rows of data points is presented in this paper. The key step of surface lofting is to obtain a set of compatible B-spline curves interpolating each row. Given a set of points and their parameterization, a necessary and sufficient condition is proposed to determine the existence of interpolating B-spline curves defined on a given knot vector. Based on this condition, we first properly construct a common knot vector that guarantees the existence of interpolating B-spline curves to each row of points. Then we calculate a set of interpolating B-spline curves defined on the common knot vector by energy minimization. Using this method, fewer control points are employed while maintaining a visually pleasing shape of the lofted surface. Several experimental results demonstrate the usability and quality of the proposed method.     

不同产地黄柏的近红外指纹图谱鉴别分析

建立用近红外漫反射光谱鉴别不同产地黄柏药材的新方法.采集不同产地的黄柏药材及其伪品的近红外漫反射光谱,用模式识别方法进行聚类分析,建立判别模型并用三重交叉验证的方法对模型稳定性进行验证.黄柏样品与伪品能较好地区分开;建立模型后对已知训练集样本的分类精度高达100%,对未知样本的预测精度达到100%,该模型具有很好的预测性能,这说明了所建方法性能优良,能够适用于黄柏药材的不同种植产地分类鉴别.近红外光谱法简便、快速、不破坏样品,结合模式识别方法能够准确鉴别正品、伪品以及不同产地的黄柏药材.     

数据结构在Java语言中的实现

通过实例详细分析了数据结构中数据和操作在Java环境中的实现过程,从而学会编写更加高效的程序.