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In order to save the space of memory, the local C/A code generator based on RAM, NCO based on CORDIC algorithm and the code phase detector based on Robertson approximate algorithm were proposed in this paper.

设计过程中，为了节约存储空间还提出了基于RAM的本地C/A码产生器、基于CORDIC算法的NCO和基于Robertson近似算法实现的码相位鉴别器等。

To completely meet the needs of Internet-based collaborative work, we propose a novel architecture to implement a process-oriented remote feature-based modeling on Web. Synchronal collaborative work, user management, group control, activity chain and electronic appointment using mobile aglet are key points to enable this tool. Finally, an example is given to illustrate how the tool is being used.

为满足基于Internet的协同工作需要，本文介绍了一种利用新的设计工具的新颖的设计方法，提出了一个基于Web的过程驱动的远程特征建模工具的体系结构，同步协同工作、用户管理、活动链及基于移动智能的电子预约是本系统的关键技术，最后用一个实例说明了系统的运行过程。

Based on the water environment spatial data mining and visualization method, the paper presents these main characteristics and innovations:①Measurement of contamination fluxes:A scene-based research strategy is proposed:measurement /water quality analysis→flow field simulation→contamination transformation rule→fluxes scene simulation→temporal-spatial rule analysis.②Serial numerical models of water environment in the Qiantang River:The controlled equations of the flow field model of the main river,united controlled equations of the main contamination fluxes and water quality prediction model at emergent time are set up.③GIS-based water quality and contamination fluxes decision-making assistance system:A water environment database has been set up;based on MapX and C#.net platform,a system has been developed to facilitate visual inquiry,decision-making and graphics export.

本文基于水环境空间数据挖掘与可视化的研究方法与体系，研究中的主要特色与创新点为：①河流污染物通量测算的技术与方法：提出了基于工况测量/水质分析→流场模拟→污染规律解析→通量情景模拟→时空规律分析的研究方案；②钱塘江水环境模拟系列数学模型：建立了钱塘江干流研究区域流场数学模型的控制方程、主要污染物通量模型的联合控制方程、突发污染事故水质预报模型的基本方程；③基于GIS的水质预报与污染物通量决策支持系统的研发：建立水环境时空数据库，基于MapX和C#。net平台进行系统的构建与开发，为研究的系列成果提供可视化的查询、决策与图形输出。

Comparisons of other four strategies,such as PS-result based on result reward and prioritized sweeping,Q-process based on process reward and Q-learning,Q-result based on result reward and Q-learning,and Hand based on hand code,are carried out.

并与其它四种算法--基于结果奖赏和优先扫除、基于过程奖赏和Q学习、基于结果奖赏和Q学习和基于手工编程策略进行比较。

Afterwards, we have fulfilled motion analysis based on the vasuclar models which we have already built. We have brought forward some new ideas in motion analysis, thus designed and completed String Matching Method and Thin Plate Spline Model based Method. Further, we have invented a mixed model which combined feature based model and intensity based model together, so as to compensate both disadvantages.

我们提出了一些运动分析方面的新思路，设计并完成基于链码匹配技术的运动分析、基于薄型样条模型的运动分析，我们还提出了一种结合基于特征模型和基于灰度模型的混合模型进行运动分析，弥补了各自长期以来的缺陷。

Two GFRF system model identify algorithms based respectively on Signal Flow Graph/Driving Point Impedance and EDA simulation are proposed. In order to solve the problem of fault diagnosis that the inner structure and parameters of the Object under Test cannot be able to determine, a new fault diagnosis method based on the phase space reconstruction and GFRF general formula is investigated. This method builds up a bridge between the chaos theory and Volterra series analysis, which does not strongly depend on the topological structure and the testing data length, is sensitive to the fault property, traces monotonously the change of system fault, and possesses some significant predominance compared with conventional fault diagnosis methods of analog circuits.

提出了基于信号流图/驱动点阻抗法的GFRF算法和基于EDA仿真和非线性频谱响应特性分析的系统模型辨识算法，为解决工程实践中不能确知被测对象内部结构和参数时的故障诊断问题，研究了基于相空间重构和GFRF简化算法的复杂电子系统故障诊断方法，该方法建立了混沌理论与Volterra级数分析法之间的桥梁，它对被测对象的拓扑结构依赖性不强，对被测系统的故障性质的敏感，可以单调地跟踪系统故障的变化，这种基于混沌特性分析的故障诊断方法与其它的模拟电路的故障诊断方法相比较具有显著的优势。

Removing different kinds of impulsive noise in image is systematically researched, and proposes three image removing noise filter based on fuzzy information processing technique, i e., fuzzy entropy-based filter for removing noise in multilevel image, histogram-based filter for removing salt and pepper noise in image, and histogram- based adaptive filter for removing image impulsive noise.

该章对图像中不同类型加性脉冲噪声的去噪问题进行了系统地研究和分析，提出了三种基于模糊信息处理的图像平滑去噪滤波器，分别为基于模糊熵的多值图像去噪滤波器、基于直方图的图像椒盐噪声滤波器、基于直方图和区域信息的自适应图像脉冲噪声滤波器。

RSSI-based location is a hotspot in nowadays. This paper presents RSSI-based triangle and centroid location algorithm and trilateration algorithm, and analyses the average positioning error produced by this two methods. Simulation experiments prove that triangle and centroid location algorithm can obviously improve the location accuracy compared to trilateration algorithm.

基于RSSI的定位技术是现阶段研究的热点，本文提出了基于RSSI的三角形质心定位算法和三边测量法，并对两种算法所产生的平均定位误差进行仿真分析，仿真结果表明基于RSSI的三角形质心定位算法比基于RSSI的三边测量定位算法的定位精度有较大提高。

It transforms the subtractive image from RGB color space to SRG color space. The experiment shows that it is efficient to segment the shadow with the moving vehicles.Secondly, in the vehicle classification module, we process the subtractive image by the morphological filtering and connected component labeling, obtain the figure and position of moving vehicle, and decide the characteristic vectors.At last, two vehicle classifiers are designed, one is the RBFNN classifier based on fuzzy K-means clustering, the other is the RBFNN classifier based on immune algorithm.

在车型分类方面，首先对差分图像作形态学滤波和区域连通处理，得到运动车辆的位置和轮廓，根据分类标准提取出车型分类所需的特征向量，然后分别用两种方法设计出车型分类器，一种是基于模糊K-均值聚类的RBF网络车型分类器，另一种是基于免疫算法的RBF网络车型分类器，通过在相同环境下的实验对比分析，基于免疫算法的RBF网络车型分类器在分类准确性和速度方面都优于基于模糊K-均值聚类的RBF网络车型分类器。

Based on the current ID-based signature and ID-based blind signature, a new ID-based blind signature without trusted PKG was proposed. Meanwhile, a new ID-based proxy signature without trusted PKG was also proposed.

在已有基于身份无可信中心签名的基础上结合基于身份的盲签名提出了一个基于身份无可信中心的盲签名，同时提出了一个基于身份无可信中心的代理签名。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。