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However, Most vector-based algorithms of computing the Voronoi diagrams have difficulty while dealing with complex generators , and so author first discusses the properties of Voronoi diagram based on the Manhattan distance or supremum distance, the experimental result shows that Voronoi diagram based on the Manhattan distance or supremum distance or alternatively using these two distances is a rough approximation of Euclidean-metric Voronoi diagram.

鉴于构建Voronoi图的矢量方法存在一些问题及不足，首先分析了基于曼哈顿距离和上限距离的Voronoi图性质，进行了相应的实验，实验结果表明基于这两种距离或交替使用这两种距离所产生的Voronoi图与基于欧氏距离产生的Voronoi图之间存在较大的差异，属于精度较差的逼近方法。

Based on the traditional symbolic dynamic-based method, a novel algorithm based on a time-varying parameter of globally coupled map lattice is proposed.

本文在符号动力学方法的基础上，针对全局耦合映象模型，提出一种基于时变映象系数恢复信号初值的新方法。

To effectively reconfigure General Bill of Material, reconfiguration process of GBOM based on data-mining was proposed. BOM instances were represented by the weighted unordered tree graph generally, and the algorithm of similarity measurement between two similar BOM instances were presented based on the minimum weighted symmetric difference. In terms of the results of the similarity measurement, all the typical BOM instances were clustered based on the k-Means clustering method.

为有效地重构新型的通用物料清单，提出了基于数据挖掘的通用物料清单重构过程，运用赋权无序树形图表示产品物料清单实例，基于最小赋权对称相异度给出了相似物料清单实例之间的相似度度量算法；基于物料清单实例之间的相似度度量结果，采用k-Means聚类方法对物料清单实例进行聚类。

Besides the tacitness, the characteristics also composes of distribution, transferability and appropriabilitry. Based on these foundation, the dissertation explain the existence of the firm as institution for the organization of production, explore the nature of coordination within the firm, analyze organizational structure, focusing upon the implications of the knowledge-based view for hierarchy and location of decision-making authority and determine the boundaries of the firm. In making the comparison, a key distinction is made between the theory of knowledge -based of firm and the theory of transaction cost , which is the main stream theory at present. For one thing, The theory of TC does not take tacit knowledge into consideration, to some degree, but focuses much on the risk of opportunism.

据此，本文对企业理论所关注的企业的存在、企业的协调、企业的组织结构、企业的边界、企业的异质性等问题逐一进行了回答，比如，在企业知识理论看来，企业是一种将个人知识一体化的制度；企业的协调不仅是组织成员目标不一致而产生的需要，而且考虑到默会知识的存在，即使组织成员目标一致，协调仍是必要的；企业之所以具有异质性，其根本原因在于默会知识的难以模仿以及企业在生产过程中形成和积聚的知识的差异性，从而导致各个企业最终所积聚的知识和能力具有差异性。

This method is based on tensor and tensor algebra. To utilize the multidimensional data of the remote sensing image, the vector-based learning machine is generalized to the tensor-based learning machine which accepts tensors as input, then the convex optimization theory and the alternating projection procedure are used to get the solution of the TLM.

该方法基于张量数据模型和张量代数运算，针对遥感影像数据多维或高维的特点，将基于向量的监督法学习机扩展为基于张量的监督法学习机，然后利用凸函数最优化理论和交互投影迭代法求得张量学习机的最优解。

The present study, based on discussions on the model of IT-based living quarters, put forward the strategies and measures of intelligent IT-based real estate, with the aim of building a new type of real estate brand.

本文通过对信息化住宅小区建设的模式进行探讨，提出智能信息化房地产建设的策略和措施的建议，并希望以此塑造新的房地产品牌。

This dissertation proposes group reasoning and group AHP-based GDSS structure and its decision steps to solve the problems existing in research of theory and application of GDSS. Besides, the dissertation also studies the method of group reasoning on rough-set and qualitative reasoning method basis in GDSS. It also studies on constructing method of hierarchy structure of group AHP in GDSS and combinative method of judgment matrixes. Moreover, it studies on method regarding construction of judgment matrixes on rough set based and optimization theory of convex combination parameters of judgment matrixes as well. Finally, it develops an AHP based GDSS to demonstrate the efficiency of these methods.(1) This dissertation also summarizes the developing trend of GDSS and analyses problems as regards the research of GDSS.

本论文针对GDSS理论研究及应用中存在的若干问题，提出了基于群体推理及群体层次分析法的GDSS结构，并给出了基于该结构的GDSS的决策程序；研究了GDSS环境下的基于粗糙集理论及定性推理技术的群体推理方法，并举例说明了方法的有效性；研究了GDSS环境下群体AHP层次结构的建立、判断矩阵集结的理论与方法；研究了判断矩阵凸组合系数的优化原理；探讨了基于Rough Set的判断矩阵构造方法；开发了一个基于AHP的GDSS原型系统，旨在验证本文关于GDSS环境下群体AHP有关方法的有效性。

He modeling is the thin walled column model in which the shear walls connected each other in horizontal are regarded as a thin walled column, and the part between openings in vertical are regarded as a tie beam. The programs based on this kind of model is TAT. Two kinds of super element generalized- wall-element and elastic-slab-element are defined, which are condensed from shell element based on the theory of sub-structure, SATWE is based on the model.

AT采用薄壁柱模型，将同一层彼此相连的剪力墙墙肢作为一个薄壁杆件单元，把上下层剪力墙洞口间的部分作为连系梁单元；SATWE引入两种超单元：通用墙元和弹性楼板单元，采用子结构理论用在壳元基础上凝聚而成的墙元模拟剪力墙。

Structure-Based Approximation Learning Theory: Under the description of manifold and topological architecture of neural field, we have proposed a learning frameworks of neural networks based on global architecture approximation theory borrowed from the concept of topology and manifold to solve the optimal problems of learning in non-nonlinear and non-Euclidean space, and discussed a few basic components of the learning theory, learning mechanism and learning algorithm in the term of structure-based approximation and global structure analysis.

基于结构的逼近学习理论：通过人工神经网络模型神经场的流形结构和拓扑结构描述，我们提出了在非线性和非欧氏空间中基于整体结构逼近的神经场学习理论框架；用对偶流形理论和拓扑概念作为工具，讨论了神经网络的学习理论、学习机理、学习算法和算法的具体实现。

The application area of net flow inspection is introduced in this paper. The three kinds of flow inspection technologies such as inspection technology based on net flow total mirror, inspection technology based on SNMP and inspection technology based on Netflow are analyzed and compared in this paper.

本文对流量监测的应用范围进行了介绍，并对目前所流行的三种流量监测技术：基于网络流量全镜像的监测技术、基于SNMP的监测技术，基于Netflow的监测技术进行了分析与对比，通过分析对比，指出了这三种监测技术的特点及适用范围。

In the days of sailing vessels the crew were afraid they would be becalmed on the ocean.

在使用帆船的时代，船员们担心他们会因为无风而无法在海洋上航行。

As long as foreign donors pay the PA's salary bill, few expect a new intifada.

只要外国继续为巴权力机构的薪水买单，希望发动新暴动的人便寥寥无几。