In view of system model ' s complexity and its characteristics of strong cooperation and interaction between its various essentials , a method was proposed to construct the virtual biology model mechanism using the multi - model match detection to remedy the above shortage 并针对系统模型复杂度、系统模型内的各要素之间存在着很强的交互性和协作性等特点，提出了利用多模型匹配检测方法构建虚拟生物模型机制的方法用于弥补以上的不足。
Meanwhile , the properties of the state feedback systems that contain observers are obtained . in part three , the optimal control of 2 - d discrete linear systems described by fmm ii is solved using dynamic programming , and the exact model matching for 2 - d singular roesser model is discussed 最后，讨论了2 - d奇异系统控制中的两个问题：用动态规划方法求解2 - dfmm描述的奇异系统的最优控制问题，以及通过状态反馈对2 - dsrm表示的系统进行精确模型匹配问题。
Also an algorithm which combines both model matching and feature matching is put forward . the algorithm uses the object contour in previous frame as the reference template of current frame . based on the fact that object has a continuous track in movement , object ’ s current position can be predicted based on previous position and then match the reference template around the predicted position 该算法将前一帧目标轮廓作为当前帧的参考模板,根据目标在运动过程中具有轨迹连续性的特点,利用目标过去的跟踪点位置信息得到当前的预测位置点,然后在预测位置点周围一定范围内进行模型匹配,以与参考模板匹配值最大的轮廓作为当前帧的目标轮廓,并且把它更新作为下一帧的参考模板。
Compared to other shape matching algorithms , our shape modeling and detection algorithm has distinguishing features . our part - based and hierarchical strategy finds each part of the shape sequentially , rather than extracting all shapes from the image to match with the possible shape models . it can improve the accuracy and speed the detection processing , and can help to reduce or eliminate the effects of background clutters , partial occlusions and inner rotation in the object 形状建模和检测算法与一般方法相比,具有鲜明的特点,即不需要先提取形状再与可能的目标模型匹配,而是采用分部分和分层次的处理思想,依次在图像中搜索形状的各个组成部分,由此提高了检测的精度和效率,减小或消除了复杂背景、部分遮挡和目标内部组成部分旋转的影响,同时可以实现并行处理。
Since the western countries began the srfcs research in the eighties , theory of signal detection is used in fdi , and it was successful in some fdi functions in several types of testing aircraft . china did the srfcs research recently , but lack of the engineering fdi algorithm . because the " model based signal detection algorithm " is sensitive to the matching accuracy of the mathematics model and aircraft has prominent nonlinear aerodynamic factors , it is difficulty to upgrade the ability of fdi based on the classical signal detection theory and data fusion only 国外自八十年代开展自修复研究，一般采用基于常规数据处理的故障检测理论来实现飞控系统故障检测与隔离功能，现已在几种验证机上取得初步成果，而国内的研究尚缺乏实用的工程算法；同时，基于常规数据处理的故障检测精度对被检测对象的数学模型匹配度敏感，且飞机的气动特性在故障情况下又具有较强的非线性特性，因此，单纯依靠常规的信号处理算法难以进一步提高故障检测的精度。
When objects are occluded , many patches are produced according to object ’ s moving probability , the association module based on objects ’ model define which is the best patch can represents the occluded object . then the occluded object ’ s visible parts is segmented by probability . at last , the thesis presents different moving cases and gives corresponding flowchart 当多目标相互遮挡时,改进了基于目标模型的跟踪算法,在目标运动模型匹配中,由目标运动的概率分布特性,产生多个“虚目标” ,确定最佳“虚目标”恢复丢失的遮挡目标,并通过概率方法分割遮挡目标的可见部分,进一步确定遮挡目标的信息。
This thesis analyzed the present situation of network security problem first , pointing out the research and development of intrusion detection system have very important meanings ; then it comparatively analyzed traditional static security model and dynamic security model - - ppdr ; and the thesis intensively studied pattern match technology based on protocol analysis ; finally , according to common intrusion detection framework , the thesis proposed the architecture of network - based distributed intrusion detection system ( ndids ) , and the system has high efficiency , scalability and safety 本文首先分析当前网络安全问题的现状，指出了研究和发展入侵检测系统具有非常重要的意义；接着比较分析了传统的静态安全模型和ppdr动态安全模型；并重点研究了基于协议分析的模型匹配检测技术和规则的制定；最后以通用入侵检测系统框架模型( cidf )为基础，提出了基于网络的分布式入侵检测系统( ndids ) ，该系统具有高效性、可扩展性和安全性。
In the process of matching a morphable model to image , the euclidean distance between the reconstructed 3d component image and the input component image is defined as the goal function . comparing with the whole face 3d morphable model , the dimension of each component is low and the scale of the goal function of each component is relatively small , so the optimized result is improved and the 3d component is more precise 在模型匹配过程中,定义相同视点下获得的三维部件图像与给定部件图像的误差作为目标函数,由于每个部件维数比较低,与整个面部的三维形变模型相比,目标函数的规模相对较小,优化效果得到改善,提取的三维部件特征更准确。
