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By means of proposing a priori Markovian transition probability used in the model predictive probability in input synthesize, the IMM estimation algorithm not only utilizes the sufficiency system's posteriori information, but also utilizes rationally the system's priori information, which enhances estimation performance highly Theoretical analysis and simulation show the IMM algorithm is one of the most cost-effective schemes in all generalized pseudo Bayesian algorithms.

IMM估计方法通过在用于输入综合的模型预测概率中引入一个马尔可夫先验转移概率，使得IMM估计不但充分地利用了系统的后验信息，而且合理地利用了系统的先验信息，从而大大地提高了估计的精度和性能。理论分析和仿真结果表明：IMM估计方法是各种广义伪贝叶斯算法中性能最优的一种自适应估计算法。

It is based on abduction and utilizes defaults to compute the future problem.

它以假设推理为基础，并利用缺省值对未来的问题进行计算。

Abstractor: This topic is "The Income-Sell-Stock System Of Garment Enterprise——Main office management subsystem", take the clothing enterprises in headquarters as the design object, for the headquarters system in each kind of documentary evidence establishment unified database, utilizes the small ERP system which the object-oriented thought develops.

经济的全球化，给服装企业带来无限商机，同时也给服装企业的生产制造带来越来越大的压力。许多企业通过采用新技术，引进服装CAD技术来改变生产工艺，提高产品质量；通过采用电子商务系统，进行网上营销，获得市场信息。在激烈的市场竞争环境中，单靠这些是不够的，不能为一个服装企业在管理上提供更多的帮助，而企业的管理，资源合理的计划和控制才是企业能够长期发展的有效保证，为此服装ERP系统应运而生。

As one utilizes the mirrors to address such patterning, dismantling the original cause, one may transcend such unconscious and energetic abusiveness.

当你使用镜子来关注这样的模式，清除最初的致因，你就可以超越这样的无意识与能量上的虐待。

This paper utilizes FFT after undersampling to analyze the relationship between the estimation of sinusoidal parameters and corresponding actual values on the basis of bandpass sampling theorem. In addition, the errors of parameter estimation using phase difference are deduced strictly.

摘要该文从带通采样定理出发，分析了欠采样后利用FFT估得的正弦信号参数与真实值之间的关系，并对欠采样下基于相位差分法的参数估计的误差进行了严格的推导。

It developed for military affairs first in Occident .It utilizes the characteristic of NUV spectrum (240-280nm) that UV spectrum of object is much greater than that of solar radialization in the aerosphere. Double spectrums imaging system gets UV and visible images to identify the object and background. Image infusion is a essential step of succedent image processing.

它利用中紫外区的"日盲"(240—280nm的中紫外)特性，即目标发出的紫外线远远强于太阳的紫外辐射，通过双光谱图像检测系统观察和检测该波段的紫外目标信号与背景可见光图像，并利用图像配准与融合技术，把紫外光图像准确地定位于背景图像，形成合成图像达到检测目的。

This article uses the literature material law, the cut-and-try method, visits the survey procedure, the mathematical method of average and so on, in the back more -like high jump teaching, the use skill migration rule, begins from the interesting teaching to create the thin raw white silk and the design sports game, and utilizes it in the back -like high jump experiment teaching, through the teaching discovered utilizes the game teaching method in the back more -like high jump teaching, not only is advantageous to the student to complete technical movement grasping, moreover is advantageous to the change former back -like high jump teaching arid tasteless aspect, thus enhances the teaching effect.

本文采用文献资料法、实验法、走访调查法、数理统计法等，在背越式跳高教学中，利用技能迁移规律，从趣味性教学着手创编与设计体育游戏，并把它运用于背越式跳高实验教学中，通过教学发现在背越式跳高教学中运用游戏教学手段，不仅有利于学生对完整技术动作的掌握，而且有利于改变以往背越式跳高教学枯燥乏味的局面，从而提高教学效果。

It solves the problem that the unitary contour presentation can not correctly extract face contour in a face image which suffers from scale, rotation etc. The definition of the internal and external energy function is provided. At the same time, the global matching algorithm and local matching algorithm is given. The experiment shows that this presentation and the accompanying matching algorithm can be used to extract the face contour very well. So the image segmentation can be implemented by using it.②By analyzing the recognition principle of PCA method, we can conclude that the face images coming from different surrounding consist of different face image space. This is the essential reason that makes the generality of PCA method worse. Also, we give a measurement means to measure the distance from different face image space, so we can analyze face image space more conveniently.③We also construct various scale models and rotation pose models to detect the scale and rotating angle of face image to be recognized. The experiment results show that the detecting precision is very high. So it is good for face image feature extraction and face image representation.④Similarly, we construct local feature models of face image and utilize them to detect the local feature of face image. At the same time, we put forward a novel face image local feature detection algorithm, locating step by step. The experiment results show that this method can accurately detect the location of local face feature in a image.⑤A novel face image presentation model, dual attribute graph , is put forward. Firstly, it utilizes attribute graph to present the face image, then exact the local principal component coefficient and Gabor transform coefficient of thc pixels which corresponds to the nodes of the graph as the attribute of the nodes. This representation fully makes use of the statistical characteristic of the local face feature and utilizes Gabor transform to present the topographical structure of face image. So DAG has more general property.⑥Based on the DAG presentation, we give a DAG matching function and matching algorithm. During the design of the function and algorithm, the noise factor, e. g., lighting, scale and rotation pose are considered and tried to be eliminated. So the algorithm can give more general property.⑦A general face image recognition system is implemented. The experiment show the system can get better recognition performance under the noise surrounding of lighting, scale and rotation pose.

本文在上述研究的基础上，取得了如下主要研究成果：①构造了一个通用的人脸轮廓模型表示，解决了由于人脸图象尺度、旋转等因素而使得仅用单一轮廓表示无法正确提取人脸轮廓的问题，并给出了模型内、外能函数的定义，同时给出了模型的全局与局部匹配算法，实验表明，使用这种表示形式以及匹配算法，能够较好地提取人脸图象的轮廓，可实际用于人脸图象的分割；②深入分析了PCA方法的识别机制，得出不同成象条件下的人脸图象构成不同的人脸图象空间的结论，同时指出这也是造成PCA方法通用性较差的本质原因，并给出了不同人脸空间距离的一种度量方法，使用该度量方法能够直观地对人脸图象空间进行分析；③构造了各种尺度模板、旋转姿势模板以用于探测待识人脸图象的尺度、旋转角度，实验结果表明，探测精确度很高，从而有利于人脸图象特征提取，以及图象的有效表示；④构造了人脸图象的各局部特征模板，用于人脸图象局部特征的探测；同时提出了一种新的人脸图象局部特征探测法---逐步求精定位法，实验结果表明，使用这种方法能够精确地得到人脸图象各局部特征的位置；⑤提出了一种新的人脸图象表示法---双属性图表示法；利用属性图来表示人脸图象，并提取图节点对应图象位置的局部主成分特征系数以及Gabor变换系数作为图节点的属性，这种表示方法充分利用了人脸图象的局部特征的统计特性，并且使用Gabor变换来反映人脸图象的拓扑结构，从而使得双属性图表示法具有较强的通用性；⑥在双属性图表示的基础上，给出双属性图匹配函数及匹配算法，在函数及算法设计过程中，考虑并解决了光照、尺度、旋转姿势变化等因素对人脸图象识别的影响，使得匹配算法具有较强的通用性；⑦设计并实现了一个通用的人脸图象识别系统，实验结果表明，该系统在图象光照、尺度、旋转姿势情况下，得到了较好的识别效果。

The method utilizes multi-source,heterogenic sensors to gather data of all kind equipment character and utilizes fuzzy neural network as ex-ecutive institution of diagnosis adjudging to diagnose cause of equipment fault and to assess the equipment running sit uation.

当诊断对象内部结构功能复杂时，为有效判别故障情况必须大量增加检测元件、检测手段以及增加计算复杂度，从而导致故障诊断设备的成本和时间增长。

The algorithm utilizes learning network to describe sequence stream and stores those in 0-1 matrix, delaminates the low-proportion and the high-proportion noisy data and utilizes fault-tolerant and structure-optimize learning methods, utilizes global filtration to depress memory cost and communication cost.

算法利用学习网络描述流序列，并存于0-1矩阵中；将低比例和高比例不良数据分层考虑，分别采用基于容错和基于结构优化的学习方法；同时，经过全局筛选，有效地减少了中间结果集合，降低了内存和通信消耗。

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。