数据结构与图形技术

为了更好地理解和掌握链式存储结构、笔者尝试用图形和地址来表示数据结构中的物理存储结构及运算结果,收到了较好的效果.本文分析用图形和地址表示动态变量的分配问题.     

基于VPN技术的移动IP路由优化问题研究

为了满足Internet上移动IP主机的网络业务需求,Internet工程任务组设计了移动IP技术.通过回顾移动IP的历史和现状,介绍了移动IP的基本原理,最后重点讨论了基于VPN技术的移动IP路由优化问题.     

时域压缩合成孔径超分辨水声成像算法

提出一种针对水下稀疏目标的时域压缩合成孔径声呐成像方法(TC-SAS),实现了水声目标高分辨实时成像。通过多子阵的孔径合成,在时域上构造出成像网格格点到有效孔径内逐帧阵列的格林函数,并给出成像区域散射强度到数据域的映射矩阵;然后利用该区域空域稀疏的先验知识,通过正交匹配追踪的稀疏重构方式,解算出成像区域散射系数矩阵,实现了稀疏目标高分辨成像.同时,针对线性调频信号提出数据缩减的方法,通过对观测数据和字典矩阵同时脉压后截取,减小了数据规模;进一步结合二维矩阵数表查表的方法,以空间换时间,实现了区块实时成像。数值仿真以及湖试试验表明,所提算法能分辨出传统的时延求和算法难以分辨的目标,并且在图像清晰度指标上平均提升4.9 dB.改善了合成孔径声呐的成像质量.     

Network-Based Driving Force of National Economic Development: A Social Capital Perspective

Network science has been widely applied in theoretical and empirical studies of global value chain (GVC), and many related articles have emerged, forming many more mature and complete analytical frameworks. Among them, the GVC accounting method based on complex network theory is different from the mainstream economics in both research angle and content. In this paper, we build up global industrial value chain network (GIVCN) models based on World Input–Output Database, introduce the theoretical framework of Social Capital, and define the network-based indicators with economic meanings. Second, we follow the econometric framework to analyze the hypothesis and test whether it is true. Finally, we study how the three types of capital constituted by these indicators interact with each other, and discuss their impact on the social capital (economic development level, i.e., GDP). The results prove that the structural capital (industrial status) has a positive impact on the social capital; the relational capital (industrial correlation) has a positive impact on both social capital and structural capital; the cognitive capital (industrial structure) has a small impact on the social capital, structural capital, and relational capital.     

Real-World Data Difficulty Estimation with the Use of Entropy

In the era of the Internet of Things and big data, we are faced with the management of a flood of information. The complexity and amount of data presented to the decision-maker are enormous, and existing methods often fail to derive nonredundant information quickly. Thus, the selection of the most satisfactory set of solutions is often a struggle. This article investigates the possibilities of using the entropy measure as an indicator of data difficulty. To do so, we focus on real-world data covering various fields related to markets (the real estate market and financial markets), sports data, fake news data, and more. The problem is twofold: First, since we deal with unprocessed, inconsistent data, it is necessary to perform additional preprocessing. Therefore, the second step of our research is using the entropy-based measure to capture the nonredundant, noncorrelated core information from the data. Research is conducted using well-known algorithms from the classification domain to investigate the quality of solutions derived based on initial preprocessing and the information indicated by the entropy measure. Eventually, the best 25% (in the sense of entropy measure) attributes are selected to perform the whole classification procedure once again, and the results are compared.     

A comparison of different approaches to integrate flamelet tables with presumed-shape PDF in flamelet models for turbulent flames

Flamelet models for turbulent combustion modelling make use of presumed-shape probability density functions (PDFs) for integrating laminar flamelet solutions to obtain an integrated flamelet table that can readily be used for turbulent flame calculations. The existence of non-unique approaches for such an integration has rarely been investigated before. For the first time, this work studies systematically the non-uniqueness of the flamelet table integration approaches. A flamelet model called the flamelet/progress variable model is used in the study, although the issue exists generally in many other flamelet models. Two classes of table integration approaches are investigated, one preserving the laminar flamelet structures during integration and the other not. Three different table integration approaches are examined and compared in detail to provide a thorough understanding of the different approaches. A partially stirred reactor is used as a test case for examining the different approaches. A method based on the transported PDF method is also employed to provide a reference for the assessment of the different flamelet table integration approaches. It is found in general that the flamelet preserving integration approach yields a more reasonable joint PDF of the mixture fraction and the progress variable, and the prediction results are closer to the referenced transported PDF results.     

杜仲的核磁共振指纹图谱研究

核磁共振氢谱（Proton Nuclear Magnetic Resonance,¹H NMR）是中药指纹图谱中一种鉴定和控制植物中药质量的新方法．本文采用CPMG（Carr-Purcell-Meiboom-Gill）脉冲序列采集了杜仲提取物的¹H NMR谱,通过完整还原振幅频率表（Complete Reduction to Amplitude-Frequency Table,CRAFT）分析技术对杜仲指纹图谱进行特征指纹分析,将待目标合物的信号从混合物图谱中剥离出来,实现了不分离样品而分析目标化合物信息的目的,从而对杜仲的特征化合物——松脂醇二葡萄糖苷（Pinoresinol Glucoside,PDG）进行了定性和定量分析．结果显示贵阳药用植物园所得杜仲的PDG含量为0.275 6%,相对标准偏差（Relative Standard Deviation,RSD）为1.69%,与高效液相色谱（High Performance Liquid Chromatography,HPLC）定量分析结果（含量为0.269 6%,RSD为0.65%）基本一致．另外,通过NMR检测与多变量数据建模相结合分析了杜仲提取物的全指纹图谱,结果显示同一采收期不同产地的杜仲药材有显著差异,这表明该方法可用于鉴定不同产地的药材,具有一定的实用意义．     

一种可在线更新的PET实时查找表电路的设计与实现

介绍了一种正电子发射断层成像术实时查找表电路。该电路接收符合电路输出的位置信号和能量信号,用查表的方法完成重心法中的除法运算,然后再第二次查表得到该γ光子所入射到的晶格的离散化坐标值和能量阈值,并完成能量甄别以剔除部分散射事件。此外,该电路还结合了呼吸门控和心电门控功能。查找表存储在flash器件中,由CPLD控制读写。本设计的特点是利用硬件电路来完成查找表功能,效率更高,每次事件的查表寻址的延迟时间小于100ns,并且可以在线更新查找表的内容,使用方便。另外,还说明了用CPLD来读写NORflash的方法,以及该电路与系统中其它模块间的数据通信方法。     

高精密运动工作台控制系统的设计与研究

设计并研制了用于母盘刻录机的高精密运动工作台及其控制系统。工作台控制系统采用线光栅作为工作台位移检测工具。采用数字位置环和模拟电流环组成双闭环随动系统,其中位置控制器是带有速度前馈和加速度前馈的数字PID伺服滤波器。实验结果表明,该系统可以满足母盘刻录机的要求。     

CGNS API和FVM在非结构混合网格计算中的应用

用CGNS API（CFD General Notation System Application Programming Interface）作为非结构混合网格求解器的前处理和后处理,用FVM（Finite Volume Method）作为偏微分方程求解方法．在前处理过程中,用hash表法对内部网格面和边界网格面进行编号,并计算出相应的几何信息,以满足FVM求解器的需要．从FVM求解器计算出来的各种场信息可以写入原来的CGNS文件,该文件可以被许多专业商业后处理软件（如Tecplot,Fluent,CFX等）读取和进行可视化;对于求解器,用基于网格中心的FVM及SIMPLEC（Semi Implicit Methodfor Pressure Linked Equation Consistent）方法求解压力速度耦合．最后给出两个说明算例．