查询词典 algorithm theory

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。

In this algorithm, the Received Signal Strength Indicator ranging technique is employed to replace the distance measurement of one hop away from the anchor node in DV-Hop algorithm. Also a 2-D Hyperbolic algorithm is used to replace the trilateration algorithm in DV-Hop.

该算法引入接收信号强度指示器测距技术代替DV-Hop算法中到锚节点一跳距离测量并采用2-D Hyperbolic算法代替DV-Hop算法中三边测量法。

The results show that values of 1n computed with the D8 algorithm are more discrete and have rougher pattern than those computed with the MFD algorithm, and the mean values of 1n with D8 algorithm are slightly higher than those with the MFD algorithm.

结果表明：与多流向法相比，D8方法的计算值较为离散，分布曲线较粗糙，平均值略高，方差和偏态系数也较大；但是，两种方法计算的1n的分布曲线大致相似。

The results show that values of ln computed with the D8 algorithm are more discrete and have rougher pattern than those computed with the MFD algorithm, and the mean values of ln with D8 algorithm are slightly higher than those with the MFD algorithm.

结果表明：与多流向法相比，D8方法的计算值较为离散，分布曲线较粗糙，平均值略高，方差和偏态系数也较大；但是，两种方法计算的ln 的分布曲线大致相似。

Constraint-based MiniCon algorithm is proposed. This algorithm adds a step of view selection. As a result, the problems of missing query rewritings and generating redundant query rewritings in traditional MiniCon algorithm in presence of domain constraints are solved, and the accuracy and completeness of the algorithm is ensured.

该算法在传统的MiniCon算法中增加了一步视图选择，解决了传统的MiniCon算法中丢失查询重写和生成冗余查询重写的问题，保证了算法的正确性和完备性，并给出了相应的算法分析和实例分析。

Be in nonlinear technology of science, computation and IT develop at full speed today, science home and economist together, use organize network of critical theory, nerve, artificial intelligence, genetic algorithm, muddleheaded theory, cent oneself theory and the method such as experiment of form theory, computer undertook exploration to economic complexity, got a few positive result that have important sense.

在非线性科学、计算技术和信息技术飞速发展的今天，自然科学家和经济学家一道，利用自组织临界理论、神经网络、人工智能、遗传算法、混沌理论、分形理论、计算机试验等理论和方法对经济复杂性进行了探索，得到了一些具有重要意义的成果。

This paper summarizes the background and advantage of data mining, as well as the significance of data mining in the scientific research management of colleges and universities firstly, and then discusses the theory of data mining, association rules and the ideas of main algorithm, analyzes the classic Apriori algorithm and its existing problems as well as the basic solutions. After that, this paper proposes Multi-Dimensional Apriori algorithm which is designed specially for the mining of this paper; Then describes the structure of scientific research data mining system, defines subject-oriented mining tasks, including: mining the data about research projects, mining the data about papers, mining the data about academic writings. The association mining process is implemented by programing, a number of stimulating association rules are found, interpreted and analyzed.

本文首先综述了数据挖掘的研究背景、意义以及数据挖掘技术在高校科研管理中的应用现状和意义，然后在对数据挖掘相关理论、关联规则思想及主要算法进行讨论，分析经典Apriori算法及其存在的问题、基本解决方案后，提出了适合本文挖掘的多维Apriori算法的设计方案，并应用于本文挖掘中；接着论文介绍了科研数据的关联挖掘系统的结构，确定了面向主题的挖掘任务，包括：科研项目信息的挖掘、论文信息的挖掘、学术专著信息的挖掘等；设计了关联规则的实施过程，并通过程序编码得以实现，获得了多条有启发性的关联规则，并对其进行了解释与分析。

The theory of bit-plane in spatial-domain method of image information hiding technology was introduced. The traditional least significant bit hiding algorithm and the improved parity identifier hiding algorithm were analysed. Then the index data chain hiding algorithm was put forward.

介绍图像信息隐藏技术中基于空间域方法中位平面的思想，分析了传统的最低有效位隐藏算法以及在此基础上改进的奇偶标识位隐藏算法，提出了一种失真度更低、安全性更高的新隐藏方法－索引数据链隐藏算法。

The paper includes the constitutes of system hardware, image pretreatment, the achievement of parameter detection artithmetic. The main work is as follow: The pater makes use of vanguard genetic algorithms in image segmentation, uses vanguard genetic algorithms to get the image threshold. Using this method we may get different grey vehicles from the background exactly. Used the support vector machine theory to conduct the vehicles automatic sorting simulation research, the simulation result had proven this method could quite be accurate carries on the vehicles type the recognition; Improved based on the background automatic renewal hypothesized examination region algorithm, enhanced timeliness and the accuracy which the vehicles examines; And to has carried on the specify based on the hypothesized examination region imagery processing algorithm realization; In the paper also introduced withdraws the algorithm based on the gradation continuous movement vehicles characteristic to carry on the vehicles the characteristic to withdraw as well as to use the localization method which colored filter same gradation chart processing unifies to carry on the realization method which the vehicles license plate locates.

本文根据智能交通控制与仿真对于交通流量、车辆到达率、车辆速度等交通信息检测的需求，基于视频图像进行了交通信息处理的算法研究与实现，主要工作包括以下几个方面：将先锋遗传算法应用到图像阈值分割中，利用先锋遗传算法寻求全局最优阈值，可以比较准确的将图像中不同灰度的车辆从背景中分离出来；采用支持向量机理论进行了车辆自动分类的仿真研究，仿真结果证明该方法能够比较准确的将车辆的类型进行识别；改进了基于背景自动更新的虚拟检测区域算法，提高了车辆检测的实时性和准确性；并对基于虚拟检测区域的图像处理算法实现进行了详细说明；论文中还介绍了基于灰度连续性的运动车辆特征提取算法进行车辆的特征提取以及采用彩色过滤器同灰度图处理相结合的定位方法进行车辆牌照定位的实现方法。

The coordinate transformation and numerical integration was executed on the discretized tetrahedral elements based on which the 3-D MT vector-finite element method was implemented. A whole computation framework for 3-D vector-finite element method with unstructured mesh was given. Based on this some typical models were tested which has demonstrated that our algorithm could distinctively avoid problems caused by the fake solution and both the accuracy and efficiency were enhanced which made our algorithm has a bright future for further application.3. According to theory of Sobolev vector space and the discretization of Helmholtz space, the error estimate which was suitable for 3-D MT vector-finite element modeling was deduced by which the procedure of adaptive technique was guaranteed.4. Based on the fully unstructured tetrahedralization and optical strategy, the 3-D magnetotelluric h-adaptive vector-finite element method was presented through combining the error estimate. With this work, the accuracy and creditableness for 3-D MT complicatedly modeling was guaranteed.5. The 3-D magnetotelluric h-adaptive vector-finite element algorithm with unstructured mesh was implemented.

针对非结构化的四面体单元，采用坐标变换和数值积分方法，实现了MT三维矢量有限单元分析，建立起基于非结构化网格的三维MT矢量有限元计算流程，并对典型模型和国际标准电磁模型进行了数值模拟，结果对比和分析表明，基于非结构化网格的三维MT矢量有限元不仅消除了节点型有限元的伪解，而且具有很高的计算精度和速度，有广阔的应用前景。3、根据Sobolev函数的向量空间和Hemlholtz空间的分解，推导出基于残差的三维大地电磁矢量有限元后验误差估计公式，为三维大地电磁自适应矢量有限元数值模拟的实现奠定了基础。4、在完全非结构化四面体单元剖分及优化基础上，结合三维大地电磁矢量有限元后验误差估计公式，提出了基于非结构化网格的三维大地电磁h-型自适应矢量有限元计算策略，保证了对复杂大地电磁模型数值计算的精度和可靠性。5、实现了基于非结构化网格的三维大地电磁h-型自适应矢量有限元计算流程，对典型模型和国际标准电磁模型进行了数值模拟。

Many will continue to choose to live in duality and in conflict.

许多人将继续选择活在二元对立性和冲突中。

I find that students of the University of Physical Education all wear sportswear at first sight.

我发现：体育大学的学生乍一看，都是穿运动衣，大家都一样