查询词典 handwriting recognition

Systematically analysing the method on the failure approach of patten recognition of the flood control hydro-project system, combining the social economical efficiency of the flood control system"s invalidation losses, the paper provides the concept "flood disaster risk " and constitutes the failure analysis approach of patten recognition system on the base of the flood progress. Combining with the subsystem functions and the failure probabilistic analysis of the hydro structure, the paper discusses the main failure approach of patten recognition and calculus of failure probability, calculates flood control hydro-project"s total risk.

3系统分析了防洪工程系统失效模式识别的方法，结合防洪抗灾系统失效损失的社会经济性，引入洪灾风险概念，建立了基于洪水过程的系统失效模式识别体系，结合各水工结构子系统功能和失效概率分析，讨论了主要失效模式识别和失效概率计算，对防洪工程系统总风险进行了计算。

Its"classical framework"has been shaped in The struggle for recognition: intersubjects has three recognition forms of love, rights and solidarity; accordingly, the development process of individual identity assumes three disrespect forms: violation of body, denial of rights and insult (denigration and degradation of one's way of life); the historical process of social conflict and change can be explained in terms of inner moral logic of the mutual recognition relations.

在《为承认而斗争》中，霍耐特承认理论的"经典框架"得以形成：①主体间存在爱、法权、团结三种承认形式；②相应地，在个体同一性的发展中，强暴、剥夺权利和侮辱表现为三种蔑视形式；③从相互承认关系内在的道德逻辑，可以解释社会冲突和变革的历史过程。

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 Speech Recognition System not only has high recognition veracity, small volume, economization for power consumption, low cost and high reliability, but also has high operation speed and the realization of real-time speech recognition.

本语音识别系统除了识别准确度高、系统体积小、耗电省、价格低、性能可靠的特点以外，还具有较快的运算速度，可实现实时的语音识别。

A complete set of image processing and recognition of the source code This is our internal development and use of a image processing code, includes the most image processing and recognition processing function : as template transform, Image smoothing, sharpening, edge recognition, image filtering and fuzzy images, image inverse filtering, fuzzy image noise increases, Wiener filter images, linear transformation, gray tensile, histogram equalization, images corrosion, expansive images, image open operation, GIF correct coding, zooming, rotation, fast Fourier transform, discrete cosine transform, and so on and so forth, that is too many.

详细说明：一套完整的图像处理与识别的源码这是我们内部开发与使用的一套图像处理代码，里面包括了大部分图像处理与识别处理的的函数：像模板变换，图像的平滑、锐化、边缘识别、图像中值滤波、图像模糊、图像逆滤波、图像模糊加噪、图像维纳滤波、线性变换、灰度拉伸、直方图均衡、图像腐蚀、图像膨胀、图像开运算、GIF确码编码、缩放、旋转、快速付立叶变换、离散余弦变换等等，等等，太多了。

The key to realize the automatic recognition by means of computer vision and the pattern-recognition technology is to develop the research on the features extraction and recognition of the images of human helminth eggs.

开展虫卵的图像特征分析提取和识别软件的研究，是用计算机视觉和模式识别技术实现寄生虫虫卵的自动化仪器识别的关键环节。

By considering the color randomicity of foreigns and the color difference between the regular materials and the foreigns in fast foreign real-time recognition,the specialities of an One-class Support Vertor Machine for foreign recognition are studied,and an approach to real-time recognition based on hypersphere OC-SVM is presented.

针对高速异物在线识别中正常物料与异物颜色差异及异物颜色随机性的特点，研究了一类支持向量机在异物识别中的特性，提出了一种基于一类超球面支持向量机的在线识别算法。

It is very impotent for the personal identification along with the development of the society because of the inseparability with humans, which include fingerprint recognition, iris recognition, face recognition and so on.

人脸识别作为生物特征识别的一个重要领域，正在取得越来越多的重视。

In the practicality applications, all the four methods can be used into face recognition and facial expression recognition, and the recognition rates have relationship with the number of base vectors and iterance.

同时每种方法对其本身的基向量的个数要求以及系数矩阵的约束条件不同，其收敛方式和收敛速度也有所差异。

The conclusions were as follows: theνO-H andνC=O IR absorption maxima shifted towards higher wave numbers after imprinting 17β-estradiol on TFMAA-co-TRIM copolymer with the red shift of theνO-H groups being apparent after precipitation polymerization for 16h while that forνC=O groups being observed after polymerization for 24h. A strong interaction between TFMAA and 17β-estradiol was confirmed by the high selectivity for 17β-estradiol, as indicted by the values of the separation factor of isomers of 17β-estradiol/17α-estradiol (2.28) and the imprinted factor (3.01). Particle diameter of TFMAA-co-TRIM polymer was between 300 nm and 1.5μm, which suited well for solid phase sorbent throughout at low column pressure. The recognition of imprinting TFMAA-co-TRIM polymer for sterol molecules was driven by enthalpy eluted with acetronitile, and low temperature was in favor of the separation of sterol structure analogues on imprinting column. TFMAA-co-TRIM polymer possessed of determinate anti-heat stability, with melting point beginning at 255.84℃, Tp=257.40℃, control TFMAA-co-TRIM polymer and imprinting TFMAA-co-TRIM polymer were respectively decompounded at 267.79℃and 343.11℃, and solid micro-extraction noddle prepared by the special polymerization also showed definite recognition for 17β-estradiol by GC/MS detecting at 270℃. By selection of various washing and elution solvents, elution reagents of close polymerization system were of more advantage in template molecules retention and recognition on molecularly imprinted solid phase extraction column. At a certain extent, progesterone, 17α-estradiol, 17β-estradiol and 4-androstene-3, 17-dione could be intercepted on the MISPE column. Especially, MISPE had high selectivity for progesterone, and imprinting TFMAA-co-TRIM polymer could achieve adsorption balance within 50 min by absorption kinetics test for 17β-estradiol. However, MISPE column showed better selectivity and enrichment property for 17β-estradiol than C18 and CSPE columns according to the data from HPLC and GC/MS analyses. Recovery of 17β-estradiol on MISPE column was up to 85.5% while when prime extracting solution of milk powder was sampled, the recovery of CSPE and C18 columns were 43.7% and 30.7%, respectively.

通过研究阐明：紫外聚合产物TFMAA-co-TRIM中的νO-H振动吸收峰在聚合16h后红移，νC=O振动吸收峰在聚合24h后红移；TFMAA-co-TRIM对雌二醇异构体的印迹因子达到了3.01，α为2.28，优于其它功能单体参与得到的聚合物识别特性；TFMAA-co-TRIM聚合物粒径介于300 nm至1.5μm之间，作为色谱固定相具有良好的通量和低的柱压；在乙腈流动相中，TFMAA-co-TRIM分子印迹固定相的分离过程主要被焓驱动，低温有利于分子印迹固定相分离甾醇结构类似物；TFMAA-co-TRIM分子印迹聚合物在255.84℃时开始熔融，Tp=257.40℃，聚合物CP的降解温度在267.79℃，MIP降解温度在343.11℃，制备的固相微萃取头初步经GC/MS 270℃的耐热性测定；不同的洗提溶剂筛选证明了选择接近聚合溶剂的洗脱体系更有利于MISPE发挥识别效应；分子印迹固相萃取柱对孕酮、17α-雌二醇、17β-雌二醇和雄烯二酮都具有不同程度的保留特性，可作为此类化合物的吸附材料，特别对孕酮强保留的富集特性，可作为孕酮的选择性识别吸附剂，其分子印迹聚合物对17β-雌二醇的吸附动力学测定显示在50 min内基本达到吸附平衡，具有作为传感器核心敏感材料的潜力；对比萃取奶粉中17β-雌二醇性能，MISPE柱比非分子印迹固相萃取柱和C18柱具有更高的保留，回收率依次为85.5%，43.7%和30.7%。

But this is impossible, as long as it is engaging in a market economy, there are risks in any operation.

但是，这是不可能的，只要是搞市场经济，是有风险的任何行动。

We're on the same wavelength.

我们是同道中人。