查询词典 data point

Serial data to be sent, process data can be received, the receiving of data is the character, then transform data into digital type, and then the size of the data as a drawing of a point Ordinate, the abscissa serial data.

有数据向串口发过来时，程序可以将数据接收到，接收的数据是字符型的，那么将数据转化为数字型的，再将这个数据的大小作为画图的某一个点的纵坐标，横坐标为数据的序号。

Imaging-based measurements of introversion angle, declination angle, entry point and distance of spinous process at the horizontal plane are important data for percutaneous vertebroplasty. According to pedicle shape features at different stages, included angle, puncture point, path and depth, the vertebroplasty could be performed accurately and safely with reduced damage. Moreover, reliable data are provided for the design of a three-dimensional puncture-oriented device.

提示基于影像学所测量的内倾角、下倾角度、进针点与棘突在水平面上的距离等数据是进行经皮穿刺椎体成形术操作时的重要依据，根据不同阶段椎弓根形态学特点、夹角及确定穿刺点、穿刺路径和穿刺深度可以准确、安全进行操作，减少了损伤，也为设计一种三维立体穿刺导向器提供了可靠数据。

Critical point data for these dilute SCF-cosolvent binary and ternary systems are imperative for the design of efficient supercritical separation and reaction processes. So that, it is very important to study the critical point data in binary and ternary systems.

这些超临界流体—共溶剂体系的临界点数据对于超临界萃取和反应来说是非常重要的理论参数，因此研究这些二元和三元体系的临界点数据是非常有意义的。

This study is to give a solution for the estimation of flash point for mixtures, the necessity for classification of flammable liquids. The traditional models for predicting flash point of mixtures usually by the activity coefficient approach. However, the parameters of activity coefficient were regressed from phase equilibrium data in the literatures. If there is no such parameter in literatures for the desired mixture, the model cannot predict the flash point oft hat mixture. Thus, this research aims at the improvement of deficiency of the flash point prediction models in the literatures by useing UNIFAC (Universal Quasi-chemical Functional Group Activity Coefficient) equation, Dortmund-UNIFAC equation and Lyngby-UNIFAC equation. In this study, we were aim at the prediction model for miscible mixtures.From the result, it is suggested to use different type of UNIFAC equation to estimast activivity coefficient in the predition of flash point for different mixture type.

易燃液体分类的主要依据参数为闪火点值，因此本研究目的为解决易燃液体中混合物分类时所面临到的闪火点值缺乏的问题，而在过去文献中所提出的闪火点预测模式会使用到活性系数，但这些模式使用到的活性系数均需要相平衡的数据以回归其所需参数，若所欲估算闪火点的混合溶液文献上未有相关参数，则无法有效利用闪火点预测模式估算其闪火点，因此针对文献中现有闪火点预测模式的缺点，利用描述液体混合物活性系数UNIFAC (Universal Quasi-chemical Functional Group Activity Coefficient)方程式、Dortmund-UNIFAC方程式和 Lyngby-UNIFAC方程式，建立发展一闪火点预测模式，而本研究以互溶溶液为对象。

Discussing the pre-processing of scanning beam and scatter point cloud data, the automatic or interactive filtering techniques and random sample or grid condensability of point cloud data are explained, and a pre-processing method having actual effect is summarized.

研究已有的模型重建技术，如插值和逼近拟合离散点，利用原型的几何及拓扑信息，构建近似模型来逼近原型；基于原型的几何特征和约束的复原为目标，得到优化的CAD模型。

Data for 1000 point sliding window window size is 30, each time moving a point of data.

数据为1000个点，滑窗窗口大小为30，每次滑动一个点的数据。

Point clouds are discrete data points without the topology relationship between them. So, to facilitate and expedite the extraction of contour points for the late NPR style, firstly we should simplify the point cloud data. In other words, non-contour points should be eliminated but their contour points and feature points should be retained .

点云数据本身是无拓扑关系的离散数据点集，所以，为了方便和加速后期非真实感绘制风格化所需轮廓点的提取，首先对点云数据进行了"粗略"地简化处理，即剔除点云数据中非轮廓点保留了其轮廓点和特征点；然后应用判定准则提取出所表示物体的轮廓点并对其进行"归并"形成便于NPR风格化处理的特征轮廓线；最后再对得到的轮廓线进行NPR风格化效果"加密"处理。

Of many steady testing work that have been done at Shunan gas reservoir in Maliuchang gas field, data process are respectively conducted by traditional multi-point binominal or exponential process data and one point method for deliverability equation.

在蜀南气矿麻柳场气田进行了大量的稳定试井工作，分别用传统的多点法二项式、指数式处理资料，以及用"一点法"产能公式进行资料处理，发现两者求出的气井绝对无阻流量偏差达到30%-90%，甚至更高。

It's pointed out that soft sensor will play more important role in field bus network control system. According to this, a crude solution was addressed. At last, we point out that soft sensor technology must used to build an information warehouse for the whole enterprise, combined with data fusion, data warehouse, data rectification and other related technologies. The main contributions of this dissertation are as follows: The background, requirement, and application situation of soft sensors are expounded, the theories, methods and skills of soft sensing technology are analyzed, and the fruits and problems in current soft sensor technologies are summarized. Some new methods of soft sensor is proposed: A principal component analysis-based secondary variable selection method are proposed; A new conception which modeling data should have gross error detection is addressed, and then a cluster analysis-based modeling data gross error detection method is given.

本文的主要贡献有：对软测量技术根据实践的要求进行了一定的理论研究，针对具体问题提出了新的方法：讨论了辅助变量选择问题，研究了基于主元分析的辅助变量选择方法，该方法克服了传统方法只能利用数学模型产生的仿真数据进行最优辅助变量选择的缺点，可以根据历史数据进行辅助变量选择；提出了建模数据显著误差侦破的概念，指出传统的显著误差侦破研究的是已知过程数学模型的情况，而建模时数学模型是未知的，但是直接来自现场的数据并不能保证不含显著误差，并用基于聚类分析的方法解决了该问题，该方法利用聚类分析原理，直接面对过程数据，不需以过程模型为基础，在此基础上给出了软测量建模过程中样本数据的处理方法。

Based on data cloud, which is measured from 3-coordinate measuring machine or so, an algorithm to search lopological structure from 3D unorganized points using Envelopment-box technology is proposed in this thesis. Based on this method, we searching neighbor points of sampling point. We also improve the Max-Min angle criteria to realize local triangulation, and then get the normal of sampling point from the triangulation. Using the normal and neighbor relationship, classification of scattered data points is realized according to the quadric surface.

本文以测量得到的曲面数据点点云为基础，提出了一种基于包围盒的自动寻找三维散乱数据点之间拓扑结构的方法，采用该方法寻找采样点的邻域结点，并对三角剖分中的典型优化准则—最小内角最大准则提出了改进，按照改进后的优化准则实现了采样点的局部三角划分，并进一步求解得到采样点的法向量，依据法向量及邻域拓扑关系在二次曲面的基础上实现了散乱数据曲面重构中的数据点的自动分类。

This brought fixed cost, but it also is meant at the same time use a source to won't make you singlehanded assume a problem.

这带来了一定的成本，但它同时也意味着使用开源不会让你独力承担问题。

He gained a small fortune in real estate.

他在房地产上发了一笔小财。