过程数据的英文

• proce data
• process data

• 过程    process; procedure; transver ...
• 数据    data; record; information
• 过程数据库    pdb process database
• 过程数据区    procedure data area
• 过程数据组    process data group
• 过程数据矩阵    process data matrix
• 过渡过程数据    transient data
• 非过程数据处理    nonprocedural data processing
• 运行时过程数据区    run time procedure data area; runtime procedure data area
• 瞬态数据 过渡过程数据    transientdata
• 交互过程数据流分析    interprocedural data-flow analysis
• 组织软件过程数据库    the organizations software process database
• 工程数据，工程数据    engineering data
• 程数据管理    pdm
• 高程数据    altimetric data; altitude figures
• 工程数据    engineering data
• 工程数据库    edb：engineering database; engineering data base; engineering database
• 进程数据库    process database
• 远程数据    lrd long range data; remote data terminal; teledata
• 远程数据机    teledata
• 远程数据库    rdb remote database; remote data base; remote database
• 远程数据源    remote data source
• 远程数据站    remote data station
• 工程数据处理    engineering data processing
• 工程数据管理    edm engineering data management

• At the last , we analyses the application results of the management information system of software enterprise . the main idea in this paper is designing the management information system . it reaches these targets : realize the information of software process into information and automation ; gain , show and analyses project process data timely in order to support project and organization decision and to gain their support for the improvement of the process ; solidify the flow standardization and manage the knowledge fortune of the organization and provide scientific view about the change of organizational
  本文通过软件企业管理信息系统的设计与实现,达到了如下目标:实现了软件企业软件过程信息化与管理自动化;实现了软件过程数据的实时获取、呈现和分析,有力的支持了组织对软件项目的控制、管理和决策;实现了软件生产流程的固化,规范和统一了软件开发管理组织的知识,对组织的过程能力变化提供了科学的视图,使知识管理和过程改进工作迈上量化的台阶;实现了软件项目管理的无纸化办公。
• Considering the fact that continuous process and batch process are the two important production modes in process industry , and each of them has its respective characteristic , our works are divided into two parts , those are , monitoring of continuous processes and of batch processes . the main contribution of this thesis is as follows , 1 multivariate kernel - density estimation method is used to calculate the distribution of data and assess the impact of parametric uncertainty on the monitoring performance
  由于连续生产方式和间歇生产方式是流程工业中两种重要的生产方式，它们具有各自不同的特点，因此，本文的工作分两大部分，即连续工业过程的监控和间歇工业过程的监控，具体包括： ( 1 )采用多变量核密度估计方法，研究了参数不确定条件下，过程数据的分布及其对系统监控性能的影响。
• It being thinks highly in the world and in our county . however , it has some problems in aircraft strength test in our county . these include the backward of test preparing work styles , the lack of data tracking and analyzing in test process , insufficient of data processing after test , and the weakness in management of test engineering data
  国内外对飞机强度试验都非常的重视，但目前国内在飞机强度试验这个环节上，还存在一些问题，包括试验准备工作方式落后、试验过程数据监控和分析不够、试验结果数据处理不足、缺乏工程数据管理能力等。
• At first , this paper analyzes the factors of water - sand influencing water level of yellow river and the feasibility just using the factors of water - sand to study water level , and collects the corresponding data ; secondly , because there are strong nonlinear relation in the corresponding data , by meticulous theory analysis , this paper integrates basic nonlinear analysis method , theory of random analysis , method of least squares and so on . it puts forward a method which can get the high accuracy simulation of the data , perfects the multi - factor analysis of variable ( over three factors ) of the statistic ; thirdly , it applies the method to the approximation of corresponding water level process which belong to the capacity of sand of middle - high and middle - low , and get the high - accuracy simulation about the typical nonlinear relation ; at last , this paper definitudes the main influence mode that the capacity of sand . it mainly unite with other factors to work on the water level in the yellow river lower reaches ; mor eover , this paper analyzes the difficult point and the direction of improvement to realize the accuracy forecasting of the flood level of erodible - bed channel
  首先，系统分析了影响黄河水位的水沙因素，及仅用水沙因素有效研究水位的可行性，并按变量对应思想采集它们的相应数据；其次，由于相应水位过程数据中含极强的非线性关系，本论文经细致的理论分析，将基本的非线性分析方法、统计建模方法、随机分析理论、最小均方误差原则等等数学理论及方法有机揉合，提出了能有效实现这类数据高精度拟合的分层筛选法，并改进了统计学中多因子(三个以上)方差分析法；再次，将这一方法用于黄河中高及中低含沙类洪水相应水位过程的拟合，实现了这一典型非线性关系的高精度拟合，各年汛期上下游相应洪水位过程的拟合误差都较小；最后，明确黄河下游含沙量对水位的主要影响方式，即含沙量主要是与其它因素联合对水位作用；另外分析了要实现变动河床洪水位过程准确预报的困难所在及改进方向。
• In the third part , the application of quality control system is summarized . in the chapter three , the important technologies in lims are analyzed , such as visual equipments " technology ^ the technology of interchanging between laboratory data and processing data > unified chromatography data style technology and web system of browser / server
  在第三章中，主要介绍了实验室信息管理系统中所涉及的关键技术，如虚拟仪器技术、实验室分析数据和过程数据集成、建立统一的分析数据和质量信息标准、以及建立browser / sever的网络体系。

• 过程数据的日语：プロセスデータ