Extracting multiple layers from data having graph structures

Much data such as geometric image data and drawings have graph structures. Such data are called graph structured data. In order to manage efficiently such graph structured data, we need to analyze and abstract graph structures of such data. The purpose of this paper is to find knowledge representations which indicate plural abstractions of graph structured data. Firstly, we introduce a term graph as a graph pattern having structural variables, and a substitution over term graphs which is graph rewriting system. Next, for a graph G, we define a multiple layer (g, (θ1,…,θk)) of G as a pair of a term graph g and a list of k substitutions θ1,…,θk such that G can be obtained from g by applying substitutions θ1…,θk to g. In the same way, for a set S of graphs, we also define a multiple layer for S as a pair (D,Θ) of a set D of term graphs and a list Θ of substitutions. Secondly, for a graph G and a set S of graphs, we present effective algorithms for extracting minimal multiple layers of G and S which give us stratifying abstractions of G and S, respectively. Finally, we report experimental results obtained by applying our algorithms to both artificial data and drawings of power plants which are real world data.     

从“图书馆员阿姨现象”谈图书馆员素质

针对高校学生叫图书馆员为“阿姨”这一现象，提出了图书馆员塑造良好形象以展示外在风采、追求过硬素质以显示内在气质的重要性及建议。     

Study on the Medical Image Distributed Dynamic Processing Method

To meet the challenge of implementing rapidly advanced, time-consuming medical image processing algorithms, it is necessary to develop a medical image processing technology to process a 2D or 3D medical image dynamically on the web. But in a premier system, only static image processing can be provided with the limitation of web technology. The development of Java and CORBA (common object request broker architecture) overcomes the shortcoming of the web static application and makes the dynamic processing of medical images on the web available. To develop an open solution of distributed computing, we integrate the Java, and web with the CORBA and present a web-based medical image dynamic processing methed, which adopts Java technology as the language to program application and components of the web and utilies the CORBA architecture to cope with heterogeneous property of a complex distributed system. The method also provides a platform-independent, transparent processing architecture to implement the adva     

区域旅游形象建立的景观途径--以浙江省临海市为例

区域旅游形象建立是一个系统工程，研究者的兴趣较多集中在结合旅游规划实践如何定位旅游形象，在空间上如何构建则较少研究。景观途径考虑区域背景与形象定位相结合，侧重在区域内视觉体系的构建，尤其是如何在区域内寻找合适的地点建立相应的景观。本文尝试应用景观生态学空间分析的原理，并以历史文化名城临海市为例，从理论和实践上探讨在区域内建立旅游形象的景观途径。     

复杂性测度特征在肺部HRCT图像分析中的应用

研究了分形维和 Lempel- Ziv(LZ)复杂性两类基于视觉复杂性的图像特征在自动区分高分辨率 CT(HRCT)上磨玻璃影 (GGO)与正常区域的表现 .研究样本包括 86个 1 5× 1 5大小的矩形感兴趣区 (ROI) ,其中 44个正常 ,42个 GGO.将从这些 ROI中提取的分形维特征和 LZ复杂性特征作为输入对线性分类器训练并对其分类性能进行评估 .结果表明 ,若将两类特征单独作为分类器的输入 ,相应的 ROC曲线下面积分别为 0 .837和 0 .90 3;当用回代法训练和测试分类器时 ,分别有 75.6%和 79.1 %的 ROI被正确分类 ,而用刀切法时 ,ROI被正确分类的比率相同 .若将两类特征的组合作为分类器输入 ,相应的 ROC曲线下面积提高到 0 .969,而总的分类正确率亦达 91 .9%     

超分辨率处理中振铃现象的分析与抑制

为了抑制在实施FFT插值法重构的超分辨率图像中可能出现的振铃现象 ,深入分析了出现振铃现象的原因及产生条件 ,在此基础上设计了抑制振铃的频域补偿滤波器及其自适应算法。大量实验和比较结果表明 ,处理后的图像不但分辨率有所提高 ,而且未出现振铃现象 ,质量更好 ,从而证明了所设计的抑制振铃频域补偿滤波器及其自适应算法的有效性。     

一种新的低空间分辨力阵列触觉图象的处理方法

本文根据低空间分辨力阵列触觉图象的特点，分析了噪声来源、形式和分布，提出了一种新的基于平滑的噪声消除方法。讨论了在图象基本顶点的基础上，运用了顶点分裂和合并技术找出相应的图形顶点，并通过最小二乘法复原出离散图象的连续轮廓，从而为提高触觉图象辨识率奠定了基础．     

二次率失真优化截取的感兴趣区域编码

提出了一种基于优化截取內嵌码块编码(EBCOT)压缩技术感兴趣区域的编码,根据给定的感兴趣区域的最小峰值信噪比要求,利用率失真优化原理自动组织码流。与一般感兴趣区域编码方法不同的是该方法不对小波域的系数进行提升。解码器不需要知道该图像是否存在感兴趣区域或者具体位置,只要进行正常的解码即可。同样重要的是该算法保留了EBCOT的固有特性。实验结果表明,该算法能够获得很好的总体质量。     

南阳汉画像石中虎的形象艺术阐释

南阳汉画像石中虎的形象寄寓了当时人们特殊的审美情趣,所表现出的飞扬的艺术精神代表着两汉石刻艺术的最高水平,是汉画像石研究不可或缺的内容.     

罗家坝巴人遗址与川东北旅游形象的再造

罗家坝巴人遗址的发现,为川东北区域旅游业的突破与发展提供了契机.要以旅游形象的塑造为中心,品牌升级为目的,以强大的和针对市场的旅游学信息流,影响现实的和潜在的旅游者的选择心理,走超越式发展的道路.