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Just in order to solve thisproblem, this subject further researches the new display solving scheme --WindML based onVxWorks system, demonstrates the enormous advantages of the new scheme in technology,proceeds with the architecture of WindML, based on WindML basic 2D display scheme,throughthe research and study of the systematic principle of WindML system and different service andmanagement,I have put forward the Chinese solving scheme based on VxWorks system, andthrough the study and research of FreeType 2 font engine and vector font, utilized WindMLsystematic mechanism , have finished the implementation of bitmap and vector Chinesecharacter in VxWorks system, and on the basis of which, have designed and optimized theinquiry algorithm of the Chinese input method editor, developed the Chinese input method editorbased on VxWorks system.

本课题正是为了解决这一问题，深入研究了基于VxWorks 系统新的显示解决方案——WindML，论证了新方案在技术上的重大优势，从WindML 的体系结构入手，以WindML 基本2D 显示方案为基础，通过对WindML 系统的系统原理，各种服务和管理的研究和学习，提出了基于VxWorks 系统的汉字解决方案，并通过对FreeType 2 字体引擎、矢量字体的研究，利用WindML 系统机制，完成了位图及矢量汉字在VxWorks 系统中的实现，在此基础上设计并优化了汉字输入法的查询算法，开发出了基于VxWorks 系统的汉字输入法。

In Chapter 2, a detailed survey on digital image watermarking is presented. InChapter 3, an optimal scheme is proposed to use Human Visual System model tocompute masking function. It will be used to control the strength of watermark signalfor optimal embedding. In Chapter 4, we propose a novel watermarking scheme based on lattice vectorquantization. Some important transform coefficients of the original image are firstlymapped into the nearest neighboring lattice points by using lattice vector quantizer,then watermark signal is added to the lattice points.

本文讨论了数字图像水印及其在多媒体安全中的应用，主要围绕下列问题进行研究和创新：1、优化的水印嵌入模型：本文对基于直接序列扩频技术的水印算法进行了改进，根据人类视觉系统感知模型，提出了优化的水印嵌入模型，在不可感知性条件的限制下，使水印的鲁棒性达到最高。2、基于格矢量量化的图像水印：本文提出了基于格矢量量化的多比特盲水印算法，不需要原始图象就可以实现水印信号的检测和译码。

This paper designs and develops information filtering system based on SVM. On the basis of information filtering model based on SVM, According to layered, modular method, this paper designs and develops information filtering system; The system uses three-layer filtering strategy, including packet intercepted model、SVM training model、filtering model、feedback learning model and so on; The system uses SPI technology to intercept packet, vector space module to express text, SVM method to learn training set to construct user profile and feedback incremental learning algorithm to optimize the user profile.

在研究基于SVM的网络信息过滤模型的基础上，按照分层、模块化设计的思路，设计并实现了基于SVM的网络信息过滤系统；该系统实现了三级过滤机制，主要包括数据包截获及协议分析、SVM训练、系统过滤、反馈学习等模块；该系统采用SPI技术实现数据包的截获及重组，采用向量空间模型进行文本表示，利用SVM方法对训练样本进行学习，生成用户模板，利用基于SVM的反馈增量学习算法来进一步调整优化用户模板。

This paper firstly surveys major related work of what-if analysis and then briefly discusses the classifications from different angles.The main contribution of this paper is to present the global classification of what-if analysis.

将其分为基于规则的what-if分析、基于delta表的差分数据存储与合并机制的what-if分析和基于CUBE增量维护方法的what-if分析三类，分析了各种实现方法的优点以及适用范围。

Based on the analysis to the particularity of the cruise missile attacking, a complete recognition method based on the knowledge is developed. A new fractal-based infrared image feature extraction method is presented and the detailed theoretic analysis and implement procedure of this algorithm is submitted and tested in some experiments. With the limitation of the line detection based on traditional Hough transform that the information of the length and the end points of the line is unavailable, a new algorithm which makes use of the accessional strategy based on precognition information is put forward to meet the demand for more information of the line, simulation results show this method is effective. Finally, the whole process of airport target recognition is presented and the result images are also given.

使用分形方法提取目标的特征，在知识指导下，提出了一种基于目标特征模型的降维的形态学分形维数计算方法，对传统分形方法进行了改进，从理论上推证了算法的合理性，并对算法进行了仿真分析；针对传统Hough变换无法获得线段端点和长度信息的局限性，提出了一种基于目标特征先验知识的Hough变换融合策略，通过引入目标先验知识，可以有效地获得直线信息；对信息多而复杂的机场目标采用基于知识的目标识别方法，使用置信度模型实现不确定推理，对目标进行识别判断，将知识贯穿于整个识别过程中，对目标进行了有效地识别。

The same result can also be achieved when optimizing F8 function (Rastrigin's function). Comparing to EGA, KEGA is easy to realize and the increase of computation load can be neglected, but the performance of KEGA can be improved greatly. 2. To enhance the speed of AIA, two new methods of computing the concentration of antibody were developed. Simulation results for F8 and F15 (needle in haystack: type I) functions show that the two methods can improve the running speed of AIA more than 8. 5 times. 3. As to the drawback in defining antibody concentration, a new definition based on Euclidean distance between two antibodies and fitness is proposed. On this basis, a new AIA was constructed. The convergence performance are more better than that of AIA. 4. Combining king crossover with AAIA and DBAIA, two new AIAs, KAAIA and DKBAIA, were proposed.

仿真实验结果表明KEGA实现简单，与EGA相比，其增加的计算开销可以忽略，但性能改善十分明显； 2、针对基于信息熵的免疫算法运行速度慢的缺点，提出了二种能够加快AIA运行速度的新的抗体浓度计算方法，得到两种新的免疫算法，即加速的人工免疫算法(Accelerated Artificial Immune Algorithm，AAIA)和加速的人工免疫算法-2（Accelerated Artificial Immune Algorithm-2，AAIA-2），对测试函数F15(needle in haystack：type I)、F8函数的仿真研究表明，这两种算法的运行速度都是AIA的8.5倍以上； 3、针对AIA的浓度定义存在的缺陷，提出了一种新的基于抗体间欧氏距离和适应度的新的抗体浓度定义，并依据该定义构造了一种基于欧氏距离的人工免疫算法(Euclidean Distance-based Artificial Immune Algorithm，DBAIA)。

It establishes a cooperative system of energy saving and emission reduction deducing from appraisive system founded on three-dimensional combinatorial model, monitoring system grounded on SDSS and examinatorial system fixed on BP Neural Network, which provides necessary system info for energy saving and emission reduction.

认为建立基于三维组合模型的评价体系、基于SDSS的监测体系和基于BP Neural Network的考核体系基础上的节能减排协同体系研究是实现节能减排约束性指标的必要理论支撑。

The computational complexity has been reduced about 5 times over against the original one. Moreover, the interpolation and quantization processing of CW is more reasonable; 2. A secondary power normalization algorithm is proposed in this dissertation. This normalization algorithm ensures that the energy sum of SEW and REW is 1. So, the energy ratio of SEW and REW can be achieved only by using SEW energy. This ratio is applied in REW quantization and CW composition; 3. For more efficient quantization for Slowly Evolving Waveform magnitude, Rapidly Evolving Waveform magnitude and power parameters, firstly, by applying the Equivalent Rectangular Bandwidth theory, classifiable multi-codebooks method, analysis-by-synthesis approach and so on, a predictive AbS multi-codebooks SEW magnitude quantization scheme is proposed. In the scheme, pitch information is exploited to determine which codebook is searched; secondly, for REW magnitude quantization, this dissertation proposed a DCT-matrix multi-codebooks quantization scheme. The classification in muti-codebooks is based on pitch and quantized SEW power. The multi-codebooks structure may offer more the information in quantization and solve the problem of the bit requirement limits in quantization by consuming some extra storage space; Furthermore, for the switch quantization of CW gain, a new classified parameter is proposed.

本文的主要贡献体现为如下几方面：一、为了减少WI模型的计算复杂度，提出了基于快速傅立叶变换、三次B样条插值和周期延拓技术的特征波形(Characteristic Waveform，CW)表示和对齐的快速算法，与原方法相比，计算量下降到原方法的1/5，同时也使得CW在插值和量化时更合理；二、为了严格保证SEW与REW的能量和为1，提出了一种特征波形的二次功率归一化算法，仅需要SEW能量就可以算出二者的能量比，并可应用到后续的REW的分类量化和CW合成中；三、为了对慢渐变波形(Slowly Evolving Waveform，SEW)幅度、快渐变波形(Rapidly Evolving Waveform，REW)幅度和特征波形功率进行有效量化，本文首先采用临界频带理论、分析合成技术、感觉加权技术以及预测式矢量量化技术，提出了一种基于基音周期分类的SEW分析合成预测式多码书量化方法；其次，本文根据基音和量化后SEW的功率信息对REW幅度进行分类，提出了一种基于离散余弦变换的REW矩阵多码书量化方法。

Based on the development, classification, comparation of classific algorithms of spatial indices, the paper designs two efficient spatial indices including the improved quadtree and R+tree, applies them into spatial query processing, and realizes the spatial select query algorithm based the improved quadtree and R+tree, and nearest and k-nearest neighbour query based R tree.

在对空间索引技术的发展、分类和典型算法比较的讨论基础之上，本文设计并实现了两个高效的空间索引—改进的四叉树索引和R+树索引，并将这两个索引应用到空间查询处理中，分别实现了基于改进四叉树和基于R+树的空间选择查询算法以及基于R树的最临近查询和K最临近查询算法。

Concerning about the active computer vision, the thesis put an emphasis on the stereo matching scheme based on multiscale wavelet edges and other active control plans such as depth from focus, convergence motion. Combining these schemes with the point correspondence problem in color image pairs, a compositively active and integrated strategy is developed successfully for visual processing.

在视觉影像的主动分析方法中，论文着重探索了基于多尺度小波边缘的立体匹配控制策略、基于焦距的深度测量方法、基于聚散运动等多种主动控制方法，并将这些方案连同彩色立体图象中的点对应问题一起，相互有机结合起来，构成了一个较为完整的面向视觉影像处理的主动、复合分析方案。

Recall that, in the Kolmogorov axiomatization, measurable sets are the sets which have a probability or, in other words, the sets corresponding to yes/no questions that have a probabilistic answer.

延期开工的Kolmogorov宣布要衡量所有套职能有限许多坐标限制在于衡量子寅。换句话说，如果是/否的问题回答f可看的价值观念在许多最有限坐标，然后它有一个概率的答案。

The experimental results showed that the algorithm can filter singular points and remain fixity of the target edge.

实验表明：基于模糊理论的图像智能滤波方法比常规图像滤波方法运算量小，它既能去除奇异点，又能保持图像中目标的边缘不变性，具有很好的滤波效果。