CIM模型与关系模型的一种映射方法的探讨

以兰州电网智能决策支持系统为背景,以实现电力软件系统的互操作为目的,分析了公共信息模型(CIM)模型和电力系统的特征,提出了基于IEC61970标准的CIM模型与关系型数据库之间的一种映射方法,解决了面向对象模型与关系型模型灵活对应的问题:CIM模型的丰富完善并不会影响映射过程和映射效果。该映射方法尽可能地采用设立外键的方法,在不影响数据库性能的情况下建立必要的关系表,确保映射的关系型数据库能够完全表达CIM模型的各种关系;其中表名对应类名,域名对应本身属性,外键、专门的关系表、表中的属性对应泛化、聚合、简单关联关系。采用RationalRose和UML来描述映射的过程。该方法使得软件系统的数据库表完全遵循IEC61970标准,具有良好的兼容性;只要外部系统的接口能够遵循IEC61970标准,就可以同软件系统进行交互。     

基于汉字与部件聚类的计算机模拟研究

以自组织特征映射算法为理论基础，提出了一种新的SOMNET算法，利用人工神经网络实现了具有相似特征的汉字的聚类以及汉字部件的聚类。并对汉字及其部件的显示效果进行了分析，从不同角度刻画了SOM模型的应用。研究结果对于汉字认知研究以及留学生第二语言习得教学具有一定的参考价值。     

基于GIS的环境影响评价专题图信息系统

该系统采用了组件式GIS开发方式，运用MapX组件，在VB语言平台下设计开发而成。系统将GIS与环境评价模型库、专题地图进行综合集成，具有信息的图形化生成、显示功能，实现专题地图的动态修改、保存、检索及打印，可广泛应用于环境影响评价工作中。     

Visualization method for customer targeting using customer map

An important issue in customer-oriented marketing area is target selection which enables the determination of potential customers. In this paper, we suggest a novel customer targeting method: customer map for a service industry. The customer map is the visualization method for customer targeting. It depicts value distribution across customer needs and customer characteristics. To develop the customer map, we integrate numerous customer data from various data sources, perform data analyses using data mining techniques, and finally visualize the information derived by the former analyses. The customer map helps decision makers to build customer-oriented strategy under the unified goal of customer targeting. It also affords to monitor and perceive real time state and the change of customer value distribution based on their information without preconception. We apply the customer map to a credit card company, build web-based prototype system for the customer map and acquire managerial implications from this study.     

分水岭算法在重叠细胞图象分割中的应用

分水岭算法是一种广泛使用的分割方法,将其用于细胞图象分割可以克服由于细胞交叠造成的图象分析困难,但缺陷在于它的过分割结果。本文给出一种针对分水岭过分割问题的解决方案,引入灰度差值图的概念,提出一种基于灰度差值图和距离图的变换,将变换结果作为分水岭算法的输入图象;最后对需要存在过分割的区域根据区域灰度性质合并过分割区域。     

Checking the satisfiability of formulas represented in disjunctive normal form in the language <Emphasis Type="Italic">L</Emphasis>. II

This paper concentrates on issues of implementation of the method proposed for checking the consistency of formulae of the language L and described in the first part of this work. Upper-bound estimates of time complexity of the corresponding algorithms are obtained. Part I of this article is published in No. 4 (2005). __________ Translated from Kibernetika i Sistemnyi Analiz, No. 6, pp. 11–19, November–December 2005.     

Extraction of Road Information from Guidance Map Images

A function of image recognition is indispensable to an intelligent robot which can coexist with a human being. Furthermore, the intelligent robot needs to understand the environment of their action range by getting information of characters and maps on advertisements and signboards in order to move autonomously. In this research, a method to search the route from the starting point to the destination on a guidance map, by extracting the road area on the map and revising degradation portions because of overlapping with characters or other figures is proposed. And the validity of this method is shown by the experiment using maps which were collected from advertisements or pamphlets.     

基于RGB-D图像的室内机器人同时定位与地图构建

同时定位与地图构建（SLAM）是机器人在未知环境实现自主导航的关键技术，针对目前常用的RGB-D SLAM系统实时性差和精确度低的问题，提出一种新的RGB-D SLAM系统，以进一步提升实时性和精确度。首先，采用ORB算法检测图像特征点，并对提取的特征点采用基于四叉树的均匀化策略进行处理，并结合词袋模型（BoW）进行特征匹配。然后，在系统相机姿态初始值估计阶段，结合PnP和非线性优化方法为后端优化提供一个更接近最优值的初始值；在后端优化中，使用光束法平差（BA）对相机姿态初始值进行迭代优化，从而得到相机姿态的最优值。最后，根据相机姿态和每帧点云地图的对应关系，将所有的点云数据注册到同一个坐标系中，得到场景的稠密点云地图，并对点云地图利用八叉树进行递归式的压缩以得到一种用于机器人导航的三维地图。在TUM RGB-D数据集上，将构建的RGB-D SLAM同RGB-D SLAMv2、ORB-SLAM2系统进行了对比，实验结果表明所构建的RGB-D SLAM系统在实时性和精确度上的综合表现更优。     

A lower bound for computing Oja depth

Let S={s₁,…,sn} be a set of points in the plane. The Oja depth of a query point θ with respect to S is the sum of the areas of all triangles (θ,si,sj). This depth may be computed in O(nlogn) time in the RAM model of computation. We show that a matching lower bound holds in the algebraic decision tree model. This bound also applies to the computation of the Oja gradient, the Oja sign test, and to the problem of computing the sum of pairwise distances among points on a line.     

基于光学对准的光刻机投影物镜密集线焦深原位检测技术

提出了一种检测光刻机投影物镜密集线焦深(DOF)的新技术。该技术将具有精细结构的测量标记曝光在硅片上,硅片显影后,由光学对准系统获取曝光在硅片上的测量标记图形的对准位置信息,根据对准位置信息计算得到视场中各点的焦深。与传统的FEM焦深测试技术相比,该技术具有测量精度高、速度快、成本低、操作简单等优点,在光刻工艺参数优化及光刻设备性能评价等方面有很好的应用前景。