目标描述

Up to now, the performance index is almost described as an algebraic function of manipulating variables, it implies the response of performance index to the manipulating variables is instantaneous or the system is in steady state, and the effects of disturbances on the objective function are not taken into consideration.

在以往的工作中，大都把过程的调优变量与目标函数之间的关系用代数方程描述，这意味着目标函数对调优变量的响应是瞬时的，或假定过程处于静态，而且一般也不考虑过程中其它干扰对目标函数的影响，即在算法结构中，调优变量与目标函数构成唯一的因果关系。

The reason why the model is based on Voronoi diagram and Delaunay triangulation is that one of the main factors of directional relationships is visible field of two objects, and the visible field is adjacent part of two object, so direction calculation of two objects may be limited in the adjacent field.

模型的建立之所以借助于Delaunay三角网和Voronoi图建立空间方向关系计算和描述模型，是因为决定两目标之间的空间方向关系的主要因素之一是这两个目标之间的可视区域，而可视区域恰好是它们的邻近区域，因而两目标的空间方向计算问题可以归结为目标间邻近区域内的问题。

To overcome this problem ,the method based on correlation between kernel density estimation of tracking region is proposed.

本文提出了基于核密度估计相关的距离度量，在描述参考目标和候选目标时，考虑到诸如颜色、梯度等目标像点的特征区间的同时，融入了目标像点的空间位置信息，使得跟踪算法更加稳健和精确，能够更好适应目标和背景变化复杂的应用场合。

Secondly, describing educational goal by using measurable behavioral language with the reference of the detailed description of education goal in the last two discussions concerning music education in universities and colleges to analyze the evaluative standards.

用可测量的行为语言来描述教学目标，参照最近两次相关的高师声乐教学目标讨论稿中的具体教学目标表述，探讨高师声乐教学中具体可测量的行为评价目标，即评价标准；三。

Based upon the idea of space partition and object decomposition, topological components of an area object with holes are defined by the use of the concept of neighborhood in the point set topology, which is a natural extension of the definitions for topological components of a simple area.

本文基于空间划分和目标分解的思想，利用点集理论中的邻域概念详细分析和描述带孔洞面目标的点集拓扑分量，这种描述方法实质上是简单面目标点集拓扑分量描述的一种自然延展。

In this paper, we propose a new approach to recognize occluded objects. The information of the magnitude of the local extreme of the open angles in the contour of a model at a scale, the information of the distance and relative location between the two adjacent dominant points are suitably integrated as a set of features for describing a model, the features are invariant under rotation, uniform scaling, and translation of the curve.

该文提出了一种新的识别有遮挡目标的方法，即将目标模型和含有目标的遮挡图象的轮廓在某一尺度上张角的极值、极值点之间距离、相对位置等信息集成在一起，作为描述目标模型的一组特征，且这组特征在平移、旋转和均匀尺度变换下保持不变。

A frame image of a video frequency sequence is read into a postpositional memory zone, and staring position and size information of a tracked object is obtained in the frame, then distribution statistical information of a target signature is extracted to build a gauss mixed model as an object template, a mean vector and a covariance matrix in gauss mixed distribution are used to describe the position and the size of the object, then the next frame image of the video frequency sequence is read into the postpositional memory zone. In a new frame video frequency image, a parameter estimation method is used to obtain object gauss mized model parameters in the current frame in iterative computation and find candidate template similar to the object template, and the final model parameters obtained in iteration are used to update the tracking window for realizing self-adaption of the tracked window.

将视频序列的一帧图像读入缓存区，获得该帧中被跟踪目标的初始位置和尺寸信息，然后提取目标特征的分布统计信息建立高斯混合模型作为目标模板，用高斯混合分布的均值向量和协方差矩阵描述目标的位置和尺寸，再将视频序列下一帧图像读入缓存区，在新一帧视频图像中利用参数估计方法迭代计算当前帧中目标高斯混合模型参数找到与目标模板最相似的候选模板，利用迭代得到的最终模型参数更新跟踪窗口实现跟踪窗宽的自适应。

In degraded PSM matching classification, errors modification method of degraded PSM is presented and the matching tensor of every canonical scattering centers is given. In Chapter 4, the theory of wideband millimeter-wave radar target identification is introduced. It is indicated that, for HR radar target identification, description of temoral relations among features and pattern recogntion adaptive to variation of target angles are of key importance. A rule-based pattern recogniton method of sequential reasoning is proposed, which uses a series of rules to describe relations of features variation caused by target angles variation and has the advantages of adaption to unrandom variation and false probability control in classification over traditional statistical pattern recognitiop method. Feature extraction is crucial step in target identification. In range profiles identification application, features are extracted by means of range domain pre-processing algorithm, spacial and amplitude visual computation directly from range profiles and transform algorithm based on range profiles. Visual or transformed features are either sufficiently convinced or necessarily convinced and both of them are effective and robust to range profiles identification.

在第四章，首先对宽带毫米波体制背景下目标识别方法的一些特点进行了阐述并指出，在毫米波雷达目标识别中，特征之间动态关系的描述以及能适应目标姿态角变化的模式识别方法的研究乃是要解决的关键问题；进而提出了一种基于规则库的序贯推理模式识别新方法，在这种方法的研究中，主要包括序贯推理规则库的规则排列与特征选用顺序以及规则库的收敛等问题；这种方法克服了传统的统计模式识别方法特征利用效率不高、难以适应特征值的非随机性变化的缺点，把姿态角变化所引起的特征的变化用一系列规则加以表示，其优点是能适应特征值的非随机性动态变化，并能控制分类过程中的差错概率α；特征抽取是目标识别中的关键步骤，在基于目标距离像的特征抽取方法研究中，提出了距离空间域的预处理算法、距离空间域与幅度域的直观特征抽取方法以及基于目标距离像变换分析的特征抽取方法。

Whether one frames company objectives to seize entrepreneurial opportunities, continuously frames and reframes a vision to size the organization at the best levels, or frames for any of one hundred other reasons, framing is an activity that requires initiative for maximum impact.

不管是描述公司目标以抓住企业机遇、再三描述愿景使企业规模达到最佳水平，还是因其他上百种理由而描述，语言构建是一种活动，要主动才能产生最大影响力，而这种主动必须既有目的又有想法。

Bringing security metric as a QoS parameter is a new strategy in QoS routing.Aiming at the problems that the way of characterizing the link safety using only one security metric in QoS routing,a strategy that using multi-security metric as routing parameter is proposed.This will characterize the link safety much more exact.The authors will use the strategy mentioned before for secure routing based on differentiated service.An algorithm named MOSRA（Multi-Object Optimal Secure Routing Algorithm）based on nondominated sorting genetic algorithm under Differentiated Service Model is proposed to solve the NP complete.

将安全度量作为一种QoS参数进行路由选择是目前网络安全路由研究的一个新思路，针对现有方法采用一个安全度量参数描述链路安全性，进行路由选择存在的问题，提出一种多安全度量的链路安全性描述策略，能够更加全面准确地描述网络链路的安全特征；该描述策略应用于区分服务模型下的安全路由选择，并提出了基于改进的非支配遗传算法的多目标最优化安全路由算法求解这一多目标多约束的NP完全问题。

In the United States, chronic alcoholism and hepatitis C are the most common ones.

在美国，慢性酒精中毒，肝炎是最常见的。

If you have any questions, you can contact me anytime.

如果有任何问题，你可以随时联系我。