The data

n 1874, the University of Berlin refused to grant a doctorate to the Russian mathematical genius Sofya Vasilyevna Kovalevskaya, who turned around and got one at the rival University of G?ttingen; even so, she had to emigrate to Sweden to find a teaching job. Eight years later in the United States, Johns Hopkins University refused to grant Christine Ladd-Franklin a Ph.D., although she'd done her dissertation under the famous logician Charles Sanders Peirce. The school simply did not grant degrees to women.     

数据采集与转换中的一些关键问题

数据采集与转换系统用于将模拟信号转换为数字形式进行分析或传输。模拟信号输入通常是由互感器和传感器将压力、温度、应力或张力、流量等真实信号转换为相应的电信号。系统保存信号准确性和完整性的能力是衡量系统的主要指标。如何设计一个高性能的数据采集与转换系统需要考虑多方面的因素,本文就其中的一些关键问题给出自己的讨论。     

汽车行驶记录仪的数据传输设计

记录仪上记录的数据是管理和事故分析的关键资料,如果数据采集方式不科学,传输不方便,那么对汽车行驶记录仪产品,甚至整个汽车行驶记录仪行业而言无疑是沉重的打击.     

数据挖掘理论和开发方法

介绍了数据挖掘的概念、常用方法、数据挖掘过程 ,阐述了基于数据仓库的DM技术 ,在此基础上举例说明了数据挖掘理论在现实社会中的应用。     

数据中继卫星系统的数据传输协议研究

首先介绍了美国中继卫星系统的基本概况,给出了其系统组成框图和连接关系,依据中继卫星系统数据传输任务和数据传输需求,并在分析比较ESA和CCSDS的星地数据传输管理协议的基础上,提出了使用CCSDS组织的AOS建议书作为数据中继卫星系统的数据传输协议建议,给出了数据传输帧的定义和初步操作建议。     

基于智能化数据探索的数据质量管理方法

数据作为推动经济社会发展及数字化转型的新动能已成为社会共识,数据质量已成为影响数据要素发挥价值的重要因素。在政务领域,随着数据应用的深度和广度逐渐加强,数据质量问题已成为数据深化应用的制约因素。以数据质量管理相关理论为基础,以源头数据质量管控为手段,提出了基于智能化数据探索的数据质量管理方法,即通过数据质量管理激活数据资源价值,该方法在政务数据质量管理工作中具有借鉴意义。     

数据仓库技术研究

对数据仓库技术进行了深入的研究,给出了数椐仓库的定义,详细分析了数据仓库的四大特征(即面向主题的、集成的、相对稳定的、反映历史变化的),研究了数据仓库管理的方法、数据仓库的基本体系结构的组成,同时对数据仓库系统的建立进行了详细的阐述。     

光电多传感器信息熔合系统

本文从系统观点阐述了多传感器信息熔合系统的一般概念、组成、体系结构、实现技术和应用范例,指出这是光电对抗、现代作战中必不可少的系统。     

The analysis of multiple signal data

This paper discusses the automatic processing of data containing multiple signals. In particular, filters which modify their structures in order to recognize initially unknown waveforms in Gaussian noise and an unknown signal environment are investigated experimentally. The general structure, derived from decision theory, processes the data in nonlinear fashion and effectively sets up a narrow decision region about the estimate of the signal. The results demonstrate the possibility of using filters of the new type for automatically processing data although the relevant waveforms may be unknown {em a priori}.     

The data encryption standard in perspective

The Data Encryption Standard (DES) was approved as a Federal Information Processing Standard (FIPS) by the Secretary of Commerce on November 23, 1976. This Standard was developed as a part of the Computer Security Program within the Institute for Computer Sciences and Technology at the National Bureau of Standards (NBS). This paper places this standard in perspective with other computer security measures that can and should be applied to Federal computer systems either before or coincident to using the Data Encryption Standard. In 1972, NBS initiated the standards development effort leading to adoption of the DES. During this period, NBS solicited for algorithms and information upon which a standard could be based, published for comment the algorithm which best satisfied the requirements of an encryption standard, and coordinated the effort with both the potential using communities and supplying communities. This paper outlines the environment surrounding and the history of the Data Encryption Standard and discusses the objectives of additional standards to be developed within the computer security program.     

中国移动数据业务现状分析

一、移动通信业务整体发展情况 2004年上半年由于整体宏观经济走势良好,加之今年上半年非典疫情没有复发,整个通信行业仍保持高速增长的态势。总体来看,中国移动在2004年上半年业绩良好,各项KPI指标进度完成良好。1至5月份中国移动业务收入同比增幅17％,完成净利润累计比上年同期增长25％,ARPU完成中国移动年初提出的挑战     

The keys to holographic data security

Presents three encrypted holographic memory systems. These systems are secure because the total number of mathematical possibilities of the multidimensional keys, which consist of two-dimensional phase masks, their three-dimensional positions, and wavelengths of light, is extremely large. The experimental results are very encouraging. We expect the encrypted memory system to play an important role in ultrafast secure communication systems using the spatial-temporal converters with ultrahigh speed of more than Tb/s     

应用数据融合实现电子电路的故障诊断

在电路故障诊断中,可通过直流分析、交流分析和灵敏度分析等方法,对电路的故障进行诊断.但由于不同的诊断方法对不同的故障敏感度不同,使得每种方法都带有局限性.为此,本文提出了采用数据融合进行电路故障诊断的新方法,介绍了D-S证据理论算法在电路故障诊断中的应用,给出了具体算法和仿真实例.理论分析和仿真结果表明,将数据融合技术用于电路的故障诊断是可行的.不同的诊断方法提供的信息经多次融合、反复抽取有用信息后,大大降低了判断的盲目性,提高了电路故障诊断的准确性.     

The variability and inaccuracy of medical data

Medical data are defined and collected with a marked degree of variability and inaccuracy. The taking of a medical history, the performance of the physical examination, the interpretation of laboratory tests, even the definition of diseases, are surprisingly inexact. We consider the implications of this reality for computerized medical information systems, quantitative techniques for medical diagnosis, and the evaluation of bioengineering technology.     

The theoretical analysis of data compression systems

The concept of reducing the required transmission rate for a given system through prediction, interpolation, or other such techniques loosely labeled as "data compression" is now well known. The problems in analyzing such systems by theoretical means are formidable in even the simplest situations due to the inherent nonlinear nature of the operations performed. This paper discusses these difficulties, presents some approximate and exact solutions, and suggests areas where further work is needed.     

数据库应用系统设计

本文应用软件工程的观点,以我所研制的计算机宾馆管理系统为例,讨论数据库应用系统的设计方法.