算法

A model is initially developed based on the in the integer programming, whose objective function is subject to the minimization of the total re-shuffle containers. To reduce the total number of reshuffles for retrieving the containers, a hybrid algorithm, which combines heuristic rule and distributed genetic algorithm, is employed to solve the model. The heuristic rule is to reduce the range of feasible solution and distributed genetic algorithm is to solve the optimization.

该策略以压箱数最少为目标，建立基于整数规划的选位模型；根据发箱时较低翻箱率的要求，采用启发式算法和分布式遗传算法相结合的混合算法求解选位模型；其中启发式规则用于缩小可行解的范围，分布式遗传算法用于求近似最优解。

Normalized system performance figure according to interftoor demand from simulation runs proposed neural networks embaded control algorithm is evaluated and compared with other elevator traffic control algorithms such as priority timed fixed sectoring algorithms and dynamic sectoring algorithm .

根据仿真运行本文提出的隐含在控制算法中的神经网络，评价了标准系统的性能指标，且同其他控制算法诸如优先权时间控制，分区算法和动态分区算法进行了比较。

The chief points of this paper are summered as follows: Firstly, the dynamic rule-adjusting algorithms in Snort is analyzed. Secondly, some methods to improve the algorithms are discussed and the results of experiment are obtained. Thirdly, a kind of anomaly detection models using association rule mining algorithm is put forward, and the improvements of Apriori algorithm are pointed out. Fourthly, the advantage of the new algorithm and the feasibility of this model are testified. Lastly, a framework of distributed intrusion detection system based on data mining is designed, and distributed cooperation concepts and many detecting methods are adopted in order to guarantee the accuracy and completeness of the detecting system.

论文的主要工作如下：本文分析了Snort中的动态规则调整算法，讨论了一些改进的思路，给出了实验结果；提出了一种运用关联规则挖掘算法进行异常检测的模型，根据入侵检测的实际情况对Apriori算法进行了改进，通过实验证实了改进算法的优越性和模型的可行性；设计了一种基于数据挖掘的分布式入侵检测系统框架，采用分布式协作思想，结合多种检测方法，保证了系统检测的准确性和完备性。

The compressed point sample can be transferred progressively after serialization. Secondly, the thesis purposes another algorithm to render the compressed point data which can render the model without reconstructing the full structure of KD-Tree. The algorithm uses the View-Frustum Culling, Back-Face Culling and Level of Detail method, and boosts the speed and precision on rendering.

其次，提出了一个在此压缩算法上的模型快速绘制算法，该算法可以直接使用序列化后数据并不需要恢复完整的KD-树结构即可进行绘制，该算法使用了视锥裁减，背向面裁减，层次细节等方法，极大提高了绘制的速度和精度。

Load balancing algorithm determines the link to be used to transfer data, including round-robin algorithm, MAC address-based algorithm, IP address-based algorithm and IP address plus TCP port-based algorithm.

负载均衡算法决定传输链路的选择，常用的包括轮转法、基于MAC地址的算法、基于IP地址的算法和基于IP地址和TCP端口地址的算法。

On the basis of comparative analysis of the relevant micro-imagemosaicing algorithms, a suitable algorithm is choosed to combine local images to ahigh-resolution images of greater vision, which is better for pathologist to observe cervical cellmorphology. By some measurement algorithms of pathological cells and metal particulate which are reported in magazines, cervical cell parameters measuring and nucleus plasm ratio analysisare better realized.

本论文通过将成熟的图像处理算法有针对性地用于宫颈细胞图像处理，较好的实现了对宫颈细胞图像几何变换，色彩变换，平滑，增强，边缘检测；在对比分析相关显微图像拼接算法的基础上，选择合适算法将局部图像合成更大视野的高分辨率图像，供医生更好的观察细胞形态；将相关文献中报导的处理病理细胞和金属微粒形态测量的算法用于宫颈细胞形态参数的测量，较好的实现了细胞形态参数测量及细胞核浆比分析等功能。

We analyze theoretically the various algorithms of the fundamental matrix, and suggest that the input data should remove the errors in measurements through pre-processing for the algorithm stability. The robust algorithms, the cross-ratio based algorithm and the regularized pre-revised algorithm, are presented.

通过对目前常用算法分析及数值模拟指出，要提高算法的数值稳定性，最有效的办法是直接对输入数据作预处理去除噪声，并给出了较为鲁棒的基于交比预处理算法，和正则化预处理算法。

P. Then extension is done for Bajards algorithm about efficient multiplication in GF,we use non-liner binomials instead of liner binomials used in former algorithm and give thenew algorithm. We prove the algorithm theoretically and practically that new algorithm ismore applicable and has more advantages in software implementation.

对Bajard提出的GF上乘法快速实现算法进行了扩展，使用非线性二项式代替原先算法所使用的线性二项式，给出了一个新的GF上乘法快速实现算法，理论分析和仿真试验均证明了新算法适用范围更广且复杂度更低，更适合于软件实现。

After basic theory and definings of Voronoi diagram and also parameterized bisectors have been analyzed,two main algorithms of simple-connected at present have been compared;adjust the algorithm of initialization and data construct so as to obtain the algorithm could used in practice; extand the idea of wavefront-propagation algorithm to computing multi-connected voronoi diagram.

通过对Voronoi图的基本理论、定义和参数化平分线公式的分析，以及对两种主要单连通域Voronoi图算法的比较，作者改进了初始化算法和数据结构，得到便于工程应用的单连通域Voronoi算法，并将波阵面传播的思想扩展应用到多连通域的Voronoi图计算，形成新的多连通域问题算法。

GA often uses C or Visual C++ to compile codes, so the program is not only long and cockamamie but also the efficiency is low and the velocity is slow. This paper uses software Matlab powerful calculating ability and many functions to compile programs, then encapsulate and link those programs to run without Matlab environment. At last use Visual C++ friendly alternate function to compile in-out interface.

针对遗传算法常用C或Visual C++编写源代码，程序庸长繁琐，效率不高，运行缓慢的特点，本文采用Matlab强大的数值计算能力和众多的库函数编写算法；然后封装和链接程序，使Matlab编写的算法能够完全脱离Matlab的编程环境；利用Visual C++良好的人机交互功能，用Visual C++编写算法的输入输出接口界面。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。