Windchill 10.1基于产品数据成熟度的变更管理

工程变更是企业科研生产的重要活动,良好的变更管理有助于企业提高产品质量,快速响应用户需求。在产品研制过程中,工程更改出现的时间越晚,其影响程度越大。文章基于PDM系统,结合企业自身实际,概述了变更管理的现状和不足,通过引入产品成熟度的理念,提出了一种基于产品数据成熟度的变更管理概念,给出了产品数据成熟度的等级定义和标识方法。结合某企业实践,概述了该方法的应用过程和取得的效果。     

虚拟仪器在压力测量及数据管理系统中的应用

本文介绍了虚拟仪器技术在压力测量及其数据管理中的应用,该系统采用NI公司的Labview开发平台,实现了多路压力的自动测量、数据采集、实时显示、数据库管理、分析处理以及所生成图表的浏览与打印等功能,提高了测量的精度和效率.     

电网企业数据管理能力成熟度评价模型研究

本文结合电网企业实际,借鉴国内外主流数据管理能力成熟度评价模型,提出了一套包括数据战略、数据治理等9个过程域、5个成熟度等级的电网企业数据管理能力成熟度评价模型,旨在为电网企业数据管理勾勒发展蓝图、指明实施路径、提供工作开展抓手和切入点,并就该模型应用思路进行了研究和探讨。     

The Project Management Maturity Model

This article describes a five-level model of project management maturity that can be used as a structured assessment tool for a company's project management capability.     

Measuring regional competitiveness through Data Envelopment Analysis: A Peruvian case

It is well known that competitiveness has a positive effect on long-term economic growth. Concerned, thus, with creating and maintaining an environment that sustains more value creation for its enterprises and more prosperity for its people, the goal of this research paper is to assist the Peruvian national and regional policy makers, business, and academic community in their endeavor to improve regional and national competitiveness by means of developing a methodology based on Data Envelopment Analysis (DEA) to measure and rank the competitiveness of all the regions of Peru. It is important to highlight that DEA is a method that has never been used before in the calculation of regional competitiveness and this research paper is the first of its kind in Peru to adapt this method to develop a regional competitiveness index. Results revealed that coastal regions are highly competitive when compared to the mountains and jungle regions. Because of the large differences in the competitiveness of the regions of Peru, the research results point out to the need for a unified approach in creating a development strategy and improving the competitiveness of all the regions of Peru.     

MRP运算的数据完备性保证策略

针对MRP运算中对数据准确性和完备性的苛刻要求,并为了保证MRP计算结果的可信度,提出了行之有效的MRP运算数据完备性保证策略,即数据完整性检查和BOM合法性检查,并重点说明了策略的实现过程。     

A Framework for Measuring Differences in Data Characteristics

A data mining algorithm builds a model that captures interesting aspects of the underlying data. We develop a framework for quantifying the difference, called the deviation, between two datasets in terms of the models they induce. In addition to being a quantitative, intuitively interpretable measure of difference, the deviation between two datasets can also be computed very fast. Our framework covers a wide variety of models including frequent itemsets, decision tree classifiers, and clusters, and captures standard measures of deviation such as the misclassification rate and the chi-squared metric as special cases. We also show how statistical techniques can be applied to the deviation measure to assess whether the difference between two models is significant (i.e., whether the underlying datasets have statistically significant differences in their characteristics), and discuss several practical applications.     

一种度量数据信息不确定性的方法

对数据信息不确定性的度量是学术界和工业界十分关注的课题,目前常用的不确定性度量方法基本上是基于方差或信息熵的,在方差计算的基础上提出了一种简单的度量方法来度量随机数据的不确定性,这种度量方法基于累积方差但与传统方的基于方差的形式有所不同,和信息熵具有类似的表示意义而且计算度更快,分析结果表明该方法可以在对离散随机数据的...     

RFeel:一种RFID数据管理中间件

由于存在漏读、交叉读以及语义简单的原子事件,RFID系统产生的海量原始数据无法直接融合到企业现有的管理系统中.RFID中间件作为原始数据和上层应用之间的桥梁,有着非常重要的作用.开发了一种RFID数据管理中间件原型系统RFeel.该中间件可以屏蔽异构读写器平台差异、以统一数据格式向上层提供通用接口,包含了交叉读数据仲裁、不确定性数据推导、分布式复杂事件的检测、复杂事件处理优化和聚集查询等核心技术.最后通过一个典型的零售场景演示了RFeel的工作过程.     

VisDAMS：面向科学数据的可视化管理系统

在对大规模数值模拟的计算结果进行可视化分析的过程中，用户需要管理大量的科学数据。目前国内外有很多优秀的可视化分析软件，但是他们仅支持对数据的后处理，不提供对中间输出及最终结果进行有效组织和管理的功能。为了提高科学数据的分析效率，设计并实现了一种面向科学数据的可视化分析与管理系统，实现对数值模拟的中间及最终结果的实时监控，并且能对其进行规范化的组织管理。     

A Computational Biology Database Digest: Data, Data Analysis, and Data Management

Computational Biology or Bioinformatics has been defined as the application of mathematical and Computer Science methods to solving problems in Molecular Biology that require large scale data, computation, and analysis [26]. As expected, Molecular Biology databases play an essential role in Computational Biology research and development. This paper introduces into current Molecular Biology databases, stressing data modeling, data acquisition, data retrieval, and the integration of Molecular Biology data from different sources. This paper is primarily intended for an audience of computer scientists with a limited background in Biology.     

System R: A Relational Data Base Management System

A relational approach makes this experimental data base management system unusually easy to install and use. Some of the decisions made in System R design in order to enhance usability also offer major bonuses in other areas.     

Intensive Data Management in Parallel Systems: A Survey

In this paper we identify and discuss issues that are relevant to the design and usage of databases handling massive amounts of data in parallel environments. The issues that are tackled include the placement of the data in the memory, file systems, concurrent access to data, effects on query processing, and the implications of specific machine architectures. Since not all parameters are tractable in rigorous analysis, results of performance and bench-marking studies are highlighted for several systems.     

霍尔元件测磁场系统中实验数据的采集与处理

文章介绍了霍尔元件测磁场的原理,并设计了单片机自动采集系统及与PC机进行通讯,实现了由单片机采集数据,PC机进行数据运算、存储和打印等功能。     

空域数据主动管理模式研究与实践

近年来大型机场投运、跑道改、扩建等引发的大范围空域调整逐渐增多,空域数据更新频率明显增加,亟待对现有办公机制进行优化。提出一种主动式管理方案,从组织模式、平台构建两方面入手进行研究,本文以华北地区空域管理为例进行研究与实践。     

电网计算数据库图形管理系统的研究与实践

电网计算数据库含有状态、结构、参数等多类数据，在面向对象技术的支持下利用其结构 类数据将电网形象、直观、规范地展现出来，并成功地使其成为大型电网计算数 据的维护管理平台，通过合理的技术路线及算法设计实现了由库到电网图的自动过程。     

数据挖掘管理系统

本文分析了数据挖掘的常用技术和分析方法,详细探讨了数据挖掘过程,在此基础上,设计了一个由多模型构成的数据挖掘管理系统的一般框架,其能支持数据挖掘分析的全过程。     

Measuring Mobile Phone Use: Self-Report Versus Log Data

Approximately 40% of mobile phone use studies published in scholarly communication journals base their findings on self-report data about how frequently respondents use their mobile phones. Using a subset of a larger representative sample we examine the validity of this type of self-report data by comparing it to server log data. The self-report data correlate only moderately with the server log data, indicating low criterion validity. The categorical self-report measure asking respondents to estimate “how often” they use their mobile phones fared better than the continuous self-report measure asking them to estimate their mobile phone activity “yesterday.” A multivariate exploratory analysis further suggests that it may be difficult to identify under- and overreporting using demographic variables alone.