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Due to its good effect in the reservation of information of signal abrupt change, mathematical morphology is often applied in the detection and location of short-term power quality disturbance, however, there is still a defect of invalid detection existing in partial detection methods based on mathematical morphology while some zero-crossing disturbances are detected. In this paper three mathematical morphology based disturbance detection and location methods, i.e., the method based on first-order derivation and morphological gradient, the method based on morphological gradient and soft threshold processing and the method based on dq decomposition and top-hat transform, are analyzed, that is, by means of simulation the adaptability of these methods in the analysis on the signals of voltage sag, voltage swell and electromagnetic transient oscillation is compared.

数学形态学因其在保留信号突变点信息方面有很好的效果，因此常用于短时电能质量扰动的检测和定位，但基于数学形态学的部分方法仍存在对某些过零点扰动检测失效的缺点，文章分析了3种基于数学形态学的扰动检测和定位方法，即基于1阶求导和形态梯度的方法、基于形态梯度和软阈值处理的方法、基于dq分解和高帽变换的方法，通过仿真比较了3种方法在分析电压暂降、电压暂升、电磁暂态振荡等信号方面的适应性，结果发现基于dq分解和高帽变换的方法在检测过零点扰动时具有很好的效果，因此选取这种方法对实测扰动数据进行了检测和定位分析。

Based on fouling monitoring of boiler,this papers studied on method based on minimal cleanliness factor to determine sootblowing opportunity, method based on best frequency to calculate critical cleanliness,method base on the principle of maximal heat income caused by sootblowing to determine sootblowing period, method based on the principle of safety first to determine sootblowing schedule. All the above methods together can determine the correct schedule to sootblowing system.

基于锅炉各受热面的实时监测模型，本文在保证设备安全运行的前提下，从经济性出发，提出了基于临界清洁因子确定最佳吹灰时机和根据吹灰收益最大原则确定最佳吹灰周期，并给出基于吹灰最佳频率确定临界清洁因子的方法，给出制定合理的吹灰方案的步骤。

In this paper, the theory, algorithm, and experiment of automatic object detection and tracking are studied in depth. It is firstly pointed out that the essential of Mean Shift method is a special Newton-Gaussian method. A new method named Fast Mean Shift is established to stretch the conservative step of Mean Shift method. The convergence and validity of this new method are proved in theory. And it is also proved that the convergence speed of Fast Mean Shift is faster than that of Mean Shift. The contrast experiments of searching the maximum possibility density of random of data sets in plane and 3D space are done. The results show that this new method can reduce the iterations greatly. A new object tracking method based on Fast Mean Shift is built to improve the object tracking performance, which is shown in the face tracking experiment with the tennis sequence provided by the Ohio State University, and the car tracking experiment with the car sequence provided by Kalsruhe University. The face trcking experiment with highly noised images show that the object tracking method based on Fast Mean Shift has strong anti-jamming ability. A new fast color object detection technology based on characteristic color is established, which use characteristic color distribution to compute the characteristic color vector of any area in an image quickly. With the high performance search method, the fast object detection is achieved. At last, using object tracker based on Fast Mean Shift and color object detector based on characteristic color with the Kalman filter, PID controller, searial communication and other technologies, automatic object detection and tracking system with control system is built. The availability and anti-jamming ability of this system are verified by some object detection and tracking tests in different scenes.

本文对目标自动识别与跟踪进行了理论、计算、试验三方面的深入研究，主要包括：首次指出了目标跟踪技术中常用的均值迁移方法的本质为一种特殊的高斯-牛顿方法，改进了均值迁移方法步长取值保守的弱点，建立了快速均值迁移方法，证明了该方法的收敛性、有效性以及收敛速度优于均值迁移方法；进行了平面和3维随机分布数据集的最大概率密度搜索对比试验，试验结果表明，快速均值迁移方法大大减少了迭代次数；建立了基于快速均值迁移的目标跟踪方法，利用俄亥俄州立大学提供的乒乓球序列图像和卡斯鲁厄大学的汽车序列图像，对人脸和汽车目标跟踪性能分别进行了对比试验，并进行了高噪声人脸图像目标跟踪试验，结果表明，基于快速均值迁移的目标跟踪方法有效提高了目标跟踪性能，具有很强的抗干扰能力；建立了一种新型彩色目标自动识别方法，采用特征色彩分布函数实现了对任意图像区域特征色彩矢量的快速计算，建立了高效的搜索方法，实现了彩色目标的快速识别；将基于快速均值迁移方法的目标跟踪方法、基于特征色彩的目标识别方法与卡尔曼滤波、PID控制、串行通讯等技术结合，建立了带有控制系统的快速目标自动识别与跟踪系统，并在不同场景下进行了目标自动识别与跟踪试验，验证了快速目标自动识别与跟踪系统的有效性和抗干扰能力。

The traditional query tree optimization methods,parallel database optimization methods based on left linear trees and right linear trees,bushy trees,and operation of the forest,have their own pros and cons,they have been more in-depth and maturity of the study.The query optimization method based on multiple weighted tree has studied its model of parallel query plan,its complexity model of parallel query plan and query optimization algorithms.The semantic query method transforms an inquiry into one or several semantic equivalence inquiries then has to find and implement a strategy to achieve a better query.Agent-based parallel database query optimization using Multi-Agent technology to automatically search the integrity constraint conditions which are related to the determined query,there for,the efficiency between several relations' joins has been greatly improved.The parallel optimization algorithm,based on genetic algorithm which is suitable for multi-joins of cluster environment,has deeply studied the relations storage options,multi-joins query optimization and query processing and other key technologies based on cluster parallel database.

传统的查询树优化方法，即基于左线性树、右线性树、浓密树、操作森林的并行数据库查询优化方法，各有优劣，对其的研究比较深入、成熟；基于多重加权树的查询优化方法，研究了其并行查询计划模型、并行查询计划的复杂性模型和查询优化算法；语义查询优化方法将一个查询变换成一个或数个语义等价的查询，进而寻找并执行这些等价查询中具有较好实现策略的一个；基于Agent的并行数据库查询优化采用Multi-Agent技术自动查找与给定查询有关的完整性约束条件，使得多个关系间连接操作的效率得到很大的提高；基于遗传算法的并行优化算法，深入研究了基于机群并行数据库中关系存储的选择、多连接查询优化和查询处理等关键技术。

A new scheme of target discrimination in SAR images, consisted of frames, models and algorithms, is proposed. Under such a scheme, a global frame, combining orderly the algorithm based on feature extraction and that based on knowledge, is then proposed. Moreover, in the method of target discrimination based on feature extraction, a "loose-coupling" model is given. The existing features are chosen and three new features about the contrast are given under the "loose-coupling". Meanwhile, an algorithm of feature selection based on Genetic Algorithm is also modified to solve the problem that the existing algorithm can not evaluate the goodness-of-features comprehensively. The weighted quadratic distance discriminator is designed to improve the performance of target discrimination. Finally, a method based on the knowledge of target groups to remove clutter false alarms is also given.

提出了一种目标鉴别的新方案，该方案包括目标鉴别的框架、模型以及算法；提出了基于特征选取鉴别和基于编队提取鉴别"序贯"连接相结合的目标鉴别框架；在基于特征选取进行目标鉴别的方法中，提出了目标鉴别的"松耦合"模型；提出了"松耦合"模型下目标鉴别的特征提取方法，包括已有特征的筛选和3个新的对比度特征的提出；改进了一种基于GA的特征选择方法，克服了已有方法对特征优劣评价不全面的问题；设计了加权二次距离鉴别器，提高了鉴别的性能；研究了基于目标编队知识进行进一步杂波虚警剔除的方法。

of transitive closure based on equivalence relation, method of maximum fuzzy spanning tree based on fuzzy graph, and algorithm Fuzzy C-Means based on partition are more deeply investigated. Respectively, this thesis proposes an algorithm for document fuzzy clustering based on methed of transitive closure and an algorithm for document fuzzy clustering based on methed of maximum fuzzy spanning tree. Moreover, FCM is particularly studied from data standardization method, metrics method, and selection method of initial clustering prototype.

较深入地讨论了基于等价关系的传递闭包法、基于模糊图论的最大树法以及基于划分的模糊C-均值算法，分别提出了基于传递闭包法的文本模糊聚类方法ATCFC和基于最大树法的文本模糊聚类方法ATCMT；重点从改变规格化方式、改变度量方式、改变初始聚类原型选择方式三方面对FCM算法进行研究。

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。

Firstly,by the analysis of influencing factors of settlement of loessal foundation, results indicated that among the three settlement methods such as the layer-wise summation method based on chord modulus, the layer-wise summation method based on modulus of compressibility and the layer-wise summation method based on modulus of deformation and so on, the layer-wise summation method based on chord modulus is superior to the other two methods and is very close to the actual measurement settlement of building according to the grey incidence analysis on influencing factors of settlement.

本文采用灰色系统理论中的关联分析法对黄土地基变形进行了因素关联分析，并取得一些成果。通过分析影响黄土压缩变形的因素，对于沉降变形因素的关联分析，在对影响变形的诸因素进行分析的基础上，最终证明选择了四种因素作为确定弦线模量表依据的正确性，证明了据此建立的以弦线模量为基础的变形定量分析的表达式是可行的。从关联分析以及弦线模量法的简便、直观、便于推广应用的特点来看，弦线模量法计算沉降是值得大力推广的。

The paper sees Horton code as a primary characteristic value and generalizing condition of the river network, and selects, simplifies and generalizes river based on scale of before and after generalization,, The main contents of paper include:(1)Reviews generalization concept, arithmetic operators, methods, influence factor and frame of map generalization and design, analyze core theory of feature —oriented map generalization, discuss the main context and applicable method of river feature generalization(2) Summarizes natural form and spatial configuration characteristic of the river network, and describe the river network using digraph Paper mostly researches tree —like river, identifies the direction of river based on the angle of the main and secondary reach, and identifies the main river based on most length and predominant continuation of the flow direction along the major channel , then receives the grade of river by recursion and structuralize river network, builds hiberarchy rank system of river based on Horton coding(3)Designs the model of river network based on Horton code, and organizes the data of node, branch and river.

本论文把Horton编码作为水系网的一个主要特征值并以此作为综合条件，并根据综合前后的比例尺对水系网进行选取、化简和概括。论文的主要工作包括：(1)总结地图综合的概念、算子分解、实现方法、主要影响因素和总体设计框架，分析面向地理特征的制图综合的核心理论支撑，在此基础上讨论水系专题要素综合的主要内容和综合适用的方法。(2)总结水系网的自然形态和空间结构特征，用图论对水系网进行描述。以树状水系作为主要研究对象，依据树状水系的主支流交汇关系确定水系流向，依据水系中主流的长度最长和主流保持原有的流向趋势确定主流，按此递归得到河流的不同级别，对基于河段组织的水系网结构化，自动建立水系的Horton编码。(3)设计基于Horton码的水系网模型，对结点、河段、河流和河系的数据进行有效的组织。

Based on the analysis of the thoughts on inquiry-based science education in the primary school and animadvert on some ex parte ideas, we attempt to endow inquiry-based science learning with a new connotation at the height of teaching thinking. Inquiry-based science learning is an opening system which can absorb all kinds of advanced teaching methods. Based on the knowledge, it is a fully independent and efficient activity in science learning under the supervision of teachers, mainly contains the scientific issues with the children's interests, the value of science and ability trai

本文通过对小学科学教育中探究性学习思想的分析和对一些片面观念的批判，试图从教学思想的角度给探究性学习以新的内涵，指出探究性学习是一个能融合各种教学方式的开放系统，它以知识为载体，以具有儿童情趣的和既有科学价值与能力训练价值、又有社会价值的科学问题为学习的主干内容，以符合儿童科学认识活动规律的教学过程组织形式，在教师的促进下进行的一种充分自主而有效的科学学习活动。

This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.

扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。