算法化

SPNAnalyzer software system has a very friendly man-machine interaction interface, so the visualized modeling of stochastic Petri net is very intuitional and convenient. The response and handling of the Windows messages is extended to the graph tool module, so it is very easy to maintain. The class design of the element object module and the graph tool module guarantees the expansibility of the system. The crucial technologies including the reachability set algorithm of the stochastic Petri net model, the constitution of the homogeneous Markov chain, and the computation of the steady state probability are implemented. The design of the data structure adopts the linked list, so the execution of the algorithms is very efficient.

SPNAnalyzer软件系统具有非常友好的人机交互界面，使可视化的随机Petri网建模变得非常直观方便；将各种Windows消息的响应和处理延伸至图形工具模块，使系统的维护变得容易；元素对象模块和图形工具模块的类的设计使系统的可扩展性很好；实现了随机Petri网模型的可达集生成算法和同构马尔可夫链的构造及其稳定状态概率的求解等关键技术；数据结构的设计采用链表的形式，使各种算法都具有较高的执行效率。

This paper proposed a new algorithm for eyes detection in the images. First, in a known face image, the homomorphic filter was used to enhance the contrast of the image and the iterative thresh choosing algorithm changed the gray images into binary ones. According to certain priori knowledge, it could get the candidate field of the eyes.

提出了一种新的图像中人眼检测算法，在一幅已知的人脸图像中首先采用同态滤波算法增强图像的对比度，然后利用迭代式阈值选择法对图像进行二值化处理，根据传统的先验知识获得眼睛的候选区域。

The elevations add a Z value to the grounds X and Y horizontal coordinates. However, it is always more difficult to get DEM and normally needs more computing time to generate DEM since its complicated algorithm and huge data.

研究中 ，分别从数据并行和算法并行的角度，对 DEM生成算法并行化进行了分析，并在网络分布式机群下进行了数据处理实验，取得了较好的并行处理效果。

This program is laid special emphasis on at the aspect of the image recognizing realizing , and has applied the algorithm of many image recognizing aspects like the binarization , and goes the chirp algorithm etcs , and compiles by way of VC , and application that Windows2000 serve as the operating system.

此程序侧重于图像识别方面的实现，应用了许多图像识别方面的算法如二值化，去噪算法等，通过VC编写，windows2000为平台的应用程序并封装出一个Dib类来对图像进行调用和处理，完成了模式识别理论向实践的升华。

A optimum algorithm based on gradient sharpening about edge detection of image is proposed according to the shortcoming of the conventional algorithm unable to recognize the blurred edge,unclear character in the image of instrument on board.

针对机载仪表视频图像存在边缘模糊，字符不清，传统算法难于识别的缺点，提出了一种基于梯度锐化的图像边缘检测的优化算法。

To solve this problem, an algorithm which can adaptively determine the double thresholds based on gradient histogram and minimum interclass variance and improve Canny operator was proposed. Theory and experiments show that the proposed algorithm is effective and correct.

为了对Canny算子的这一缺陷加以改进，提出了基于梯度幅度直方图和类内方差最小化原理自适应地求取双阈值的算法对大津法作出改进，理论推导和实验结果证明了该算法的正确性和有效性。

Then the coefficients of the original interpolation polynomial can be computed.

改进算法降低了乘法近似黑盒的询问初值，提高了算法初始化阶段的效率。

In order to solve the composite inversion problem of the flexible arm structure, an improved identification method is proposed by combining the relaxation method with the modified total compensation method.

为了解决悬臂型桥墩结构在输入信息未知条件下的物理参数识别问题，采用将松弛法与改进的全量补偿算法结合起来的算法，通过对参数的离散化，对输入未知条件下的－悬臂型桥墩结构的多个物理参数进行了识别。

Symmetric cone complementarity problem; Euclidean Jordan algebra; C-function; Merit function; Hybrid Newton method; Regularized-smoothing method

对称锥互补问题；欧几里得若当代数；互补函数；价值函数；混合牛顿算法；正则光滑化牛顿算法

The paper presents a method to realize the production planning system based on the Material Requirements Planning MRP arithmetic. It develops the system resolving and balancing the capacity on the platform of VC++. The data management is based on the VFP. With the help of rapid material resolving, the visual technology of capability balancing and the powerful database function, it realizes the seamless integration of the modules of MIS and CADCAPP.

提出了一种以物料需求计划MRP算法为基础的生产计划系统的实现方法，算法的求解与能力的平衡在VC++平台上完成系统基础数据的管理、操作界面的集成基于VFP平台物料快速分解、能力平衡可视化技术与VFP强大灵活的数据库功能相结合，实现了管理信息系统MIS各模块的信息集成以及MIS与计算机辅助设计与工艺CADCAPP的无缝集成

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。