查询词典 unique feature

The multi-dimensional signals measured by sensors with a machine working under normal condition or fault condition, can be used to build Q statistic and T^2 statistic respectively to detect the state of the machine. Meanwhile, the feature vector is constructed by the Q value and the T^2 value, the geometrical distance between the normal feature vector and the feature vector H when the machine goes wrong is used to realize the fault location. The results show that the method is feasible.

利用多个传感器测量的异步电机多维信号参量，构建电机在正常工作和发生故障时的Q统计和T^2统计，以实现电机的状态检测；利用Q统计和T^2统计值构建电机的状态特征向量，通过比较度量当前电机的特征向量与电机发生故障时的特征向量H的几何距离来实现电机故障的定位与分离实验证明，该方法可以有效地实现故障的诊断与分离。

A new scheme of target discrimination in SAR images, consisted of frames, models and algorithms, is proposed. Under such a scheme, a global frame, combining orderly the algorithm based on feature extraction and that based on knowledge, is then proposed. Moreover, in the method of target discrimination based on feature extraction, a "loose-coupling" model is given. The existing features are chosen and three new features about the contrast are given under the "loose-coupling". Meanwhile, an algorithm of feature selection based on Genetic Algorithm is also modified to solve the problem that the existing algorithm can not evaluate the goodness-of-features comprehensively. The weighted quadratic distance discriminator is designed to improve the performance of target discrimination. Finally, a method based on the knowledge of target groups to remove clutter false alarms is also given.

提出了一种目标鉴别的新方案，该方案包括目标鉴别的框架、模型以及算法；提出了基于特征选取鉴别和基于编队提取鉴别"序贯"连接相结合的目标鉴别框架；在基于特征选取进行目标鉴别的方法中，提出了目标鉴别的"松耦合"模型；提出了"松耦合"模型下目标鉴别的特征提取方法，包括已有特征的筛选和3个新的对比度特征的提出；改进了一种基于GA的特征选择方法，克服了已有方法对特征优劣评价不全面的问题；设计了加权二次距离鉴别器，提高了鉴别的性能；研究了基于目标编队知识进行进一步杂波虚警剔除的方法。

This paper introduces a physical feature-sensitive topological simplification algorithm for planar vector fields to solve the physical feature preserving problem ignored by pre-existing methods. Its central idea is to classify the vector field region under the application-specified physical criterion, and combine the feature detection of a vector field with its topological simplification.

针对现有拓扑简化方法忽略物理特征保持的缺陷，提出一种对物理特征敏感的平面向量场拓扑简化算法，其中心思想是使用为应用定制的物理判据分类向量场区域，将向量场的特征检出与拓扑简化关联起来。

Aimed at that error may occur in Feature-editing, Feature-editing is researched, Based on the topological mapping algorithms ,the function of feature editing is implemented.

针对特征编辑参中常会出现的不合理结果，借助于标识匹配算法，设计并实现了特征编辑算法，可较为合理地实现特征编辑。

The feature points from two images were extracted by Harris corner detector, then the corresponding feature point pairs were got by the cross-correlation of the gray scale around the feature points, and the mismatched pairs were eliminated based on the Eulerian distance of the transformation parameter vector.

提出了一种基于特征点的图像拼接算法，首先利用Harris角点检测提取两幅图像中的特征点，用特征点邻域灰度相关性将特征点进行匹配，并在此基础上根据变换参数向量的欧式距离对误匹配进行剔除，进而实现图像拼接。

The method is based on the principle of triangle inequality with the use of the third side and both sides of the ratio of the size to determine the Corner to feature point and its two adjacent feature points formed by the angle between two tangent linear and the third triangle on both sides and edges with another feature of the ratio as a variable.

该方法根据三角不等式原理利用第三边与另外两边之和的比值大小来确定角点，以特征点和它相邻的两个特征点所形成的两条直线的夹角正切值以及三角形第三边与另两边和的比值作为特征不变量。

The Karhunen-Loeve transform is used for feature reduction of the feature vectors and creating the subspaces. Then the distance between unknown-classification feature vector and each subspace is calculated to determine the class to which the vector belongs.

通过K-L变换，能有效降低特征空间的维数，形成各类别对应的特征子空间，然后分别计算待分类模式与各子空间的距离实现模式分类。

Instead of statistical description, a feature subspace with the base of some significant eigen vector extracted from covariance matrix is constructed to describe speech feature distribution of speaker. Distance metrics for measuring distance between input feature vector and subspace are also proposed for pattern matching.

说话人语音训练样本提取特征后在语音特征观察空间形成具有一定散度的分布，根据主元分析原理和分布散度提取主要散度本征向量作为基底构成说话人语音特征子空间，并通过测试语音特征矢量与子空间的距离测度进行模式匹配。

In the lexicon, each item is listed with features, which include categorial feature, thematic feature and eventive feature.

词库里每个词项都是一个特征集合，其中包括范畴特征，论旨特征和事体特征。

On the basis of previously research, this paper re-probe into the mechanism of electro-chemist mechanical manufacturing process, making the rational technological parameter, and developing the manufacturing equipment. Through a lot of technology tests, get a lot of labratory data, accordingly, researched the surface feature of the electro-chemist manufacturing process, and deeply discussed its influence on the work piece feature. The last result is that: the electro-chemist mechanical manufacturing process can reduce the low-frequency component significantly, but on high-frequency component, it has little influence, having obviously positive pole flat effect. After manufacture, the tip parts on the surface of the work piece is cut off, there is micro "high land" shape, the parameter for surface roughness is reduced a lot, the surface outline of the work piece is negative, the bearing length rate is cliffy. Also the surface quality of the work piece is improved. This can help to avoid changing the shape, improve the feature of rub, gear and reduce the time to suit. This would also ensure the precision and result in a longer work piece life.

在以前研究的基础上，本论文重新探讨了电化学机械复合光整加工工艺的机理，确定了较合理的工艺参数，对电化学机械复合光整加工设备进行了改进，通过工艺实验广泛地搜集了大量实验数据，依据实验数据，多角度地研究了电化学机械复合光整加工的表面形貌特点，并且从理论上深入讨论了电化学机械复合光整加工表面形貌对工件工作性能的影响，最后得出的结论为：电化学机械复合光整加工对工件原始表面的低频成分有较大程度的降低，而对高频成分影响较小，有明显的阳极整平作用，被加工工件表面的尖峰状凸起被去除，工件表面呈现出微观&高原型&，表面轮廓不平度高度特性参数大幅度降低，工件表面轮廓分布集中，且呈负偏态，轮廓偏斜度为负值，轮廓支承长度率曲线陡峭，工件的表面质量得到综合改善，这对提高零件的抗接触变形能力、改善摩擦、磨损性能、降低工件的磨合时间、提高工件的精度保持性、延长工件的寿命均有利。

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。