查询词典 extrinsic feature

It studies taxi passenger's daily travel behavior feature: first, it analyzes temporal distribution of them and proposes the solution of dynamic management of taxis by limiting operation period; second, through investigating the uneven spatial distribution of taxi travel demand and nonlinear correlation of travel density and population density, it reveals the shortcoming of linear matching transportion facility with population number in traditional urban transport criterion, also it questions the limited effect of the licence management for taxis, and it proposes dynamically determing taxi scale according to different traffic zones; third, through exploring the taxi travel patterns in special zones, it reveal Hong Kong citizens travel behavior in Shenzhen, which could analyze the impact of demographic feature to the travel behavior and provide scientific testimony for designing transportion service for the special group; fourth, through accurately grasping the spatial-temporal distribution of taxi travel demand, it could provide innotiative and efficient transportion service at different time and in different place, such as taxi-sharing and flexible shuttle to meet the travel demand; through pervasive data, we could inspect urban expansion and sprawl, monitor the separation of inhatitantion center and employment center and reflect the variation of population centriod and distribution; finally, it reveals how to use digital feature of inhabitant daily travel to detect abnormal condition in the city.

对出租车乘客的日常交通行为特征进行了研究：通过对出租车出行时间分布特征的把握，提出采取限时营运的方法来对出租车进行动态管理的思路；通过分析出租车出行空间分布不均匀的特征以及出行密度与人口密度之间非线性的关系，揭示了传统城市交通规范中按人数来线性配套交通基础设施的缺陷以及牌照管理对于出租车管理的有限效果，提出按照区域动态确定营运出租车规模的思路；通过特定区域出租车出行特征的分析，揭示香港居民在深圳的交通行为特征，从而分析不同人口统计特征对于交通行为的影响，为设计这个特殊群体的交通服务提供科学依据；通过对出租车出行时空分布特征精确的把握，使得我们可以在不同时间、不同地点采用创新、高效的交通服务，如合乘出租车，高级穿梭巴士来满足出行需求；通过普适数据可以监测城市的扩张和蔓延、居住中心和就业中心的分离程度以及反映人口重心与分布的变化；最后探讨了如何利用居民日常出行的数字特征来检测城市异常状态。

Basing on background of urban transportation planning, the thesis presents a STDM of urban transportation and gives a special emphasis to spatiotemporal representation of point feature, line feature and area feature of transportation planning basic information, treatment of disaggregate travel data, and management of planning project.

本论文以城市交通规划为背景，对城市交通规划时空数据模型的设计方法进行了讨论，提出了一个城市交通规划时空数据模型。论文着重对交通规划基础信息面状要素、线状要素、点状要素时空表达，分解出行数据的时空表达，以及规划方案信息的管理进行了研究。

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。

You can do some assertiveness training.

你可以进行一些自信训练。

We were well on the path to making a rear-wheel-drive global platform," says Mays."

我们正致力于建立一个后轮驱动的平台，"Mays这样说道。"