远程通信技术在无人职守仓储管理系统中的应用

在仓储管理系统中，利用调制解调器和单片机组成的下位机，通过电话线将现场检测的数据传送到由PC机与调制解调器组成的上位机。在上位机中，采用VB语言建立应用程序，实现远程数据管理。解决了仓储集中管理和远程数据传输的难题。     

远程处理技术在校园网络考试系统中的应用

设计了一个用远程处理技术实现的网络考试系统。充分利用微软最新的远程分布式访问技术———远程处理高效性与可扩展性,结合密码技术保证了考试系统中信息传输高效性的同时,实现了考试系统中信息传输的安全性,而且无须其他额外的软硬件开销。     

Children and databases: an analysis of data entry and query formulation

Abstract This study was undertaken, in part, to analyse the means by which primary children familiarized themselves with a large database. Their approaches to the problems of coding data for entry were studied and the types of error and frequency of occurrence were recorded. Query formulation was studied in parallel with data entry, particularly the difficulties presented by the correct expression of queries, choice of tests and use of coded fields. Attention was paid to the age and sex of the children for both aspects of the study.     

数据仓库和数据挖掘语言初探

着重阐述了数据仓库的基本概念、特征和体系结构，并介绍了使DW作用得以发挥的决策支持工具。还介绍了几种数据挖掘语言及其标准化方面的研究进展，提出了数据挖掘语言分类的方法，在此基础上，对数据挖掘语言的结构和组成进行了探讨和研究，最后指出了数据挖掘语言的发展趋势，以及若干待解决的问题。     

基于Nexperia PNX1300的MPEG-4实时远程视频监控系统

讨论了一种基于Philips公司的NexperiaPNX1 30 0多媒体处理DSP进行MPEG - 4实时视频编解码的实现方案 ,并以此为基础构建了一个基于网络通信的远程视频监控系统 ,讨论了该系统各部分的工作原理、实现方法以及软件的设计与优化。     

采煤机遥控收发信机的研制

本文介绍了采煤机遥控系统的信道计算、收发信机的主要技术指标、接收机方案和发射机电路设计。该系统的接收机具有体积小、方案简单、抗干扰能力强等优点。其发射机频率稳定度高,调制频偏大,在电源电压变化约30％的条件下亦能稳定工作。电路中还首次采用了微波晶体直接调频方案。     

贯彻“科学技术是第一生产力”的指导思想 推进勘测技术的发展──为《人民长江》杂志创刊40周年而作

四十年来长委勘测工作密切结合水利建设，特别是长江三峡水利枢纽和南水北调这两大跨世纪工程的实际，取得了显著的成绩。纵观四十年，长委勘测技术的发展和进步体现在以下六大方面：博采众长，以我为主，发展工程地质科学；大力研制新型钻具，完善和发展金刚石钻进的钻探手段；研究并采用高新技术，实现测绘技术现代化；提高物探水平，开展钻孔综合利用；大力提高计算机应用普及率；应用遥感技术，提高科学决策水平。长委勘测技术四十年的发展充分体现了“科学技术是第一生产力”的思想，以及经济建设必须依靠科学技术、科学技术必须面向经济建设的科技发展方针。     

Training pattern replication and weighted class allocation in artificial neural network classification

In some image classifications the importance of classes varies, and it is desirable to weight allocation to selected classes. Often the desire is to weight allocation in favour of classes that are abundant in the area represented by an image at the expense of the less abundant classes. If there is prior knowledge on the distribution of class occurrence, this weighting can be achieved with widely used statistical classifiers by setting appropriate a prioriprobabilities of class membership. With an artificial neural network, the incorporation of prior knowledge is more problematic. An approach to weight class allocation in an artificial neural network classification by replicating selected training patterns is presented. This investigation focuses on a series of classifications in which some classes were more abundant than others, but the same number of training cases were available for each class. By replicating the training patterns of abundant classes the representation of the abundant classes in the training set is increased, reflecting more closely the relative abundance of the classes in an image. Significant increases in classification accuracy were obtained by replicating the training patterns of abundant classes. Furthermore, in comparison against a discriminant analysis for the classification of synthetic aperture radar imagery, the results showed that training pattern replication could be used to weight class allocation with an effect similar to that of incorporating a prioriprobabilities of class membership into the discriminant analysis, and resulted in a significant 20.88%, increase in classification accuracy. This increase in classification accuracy was obtained without any new information, but was the result of making fuller use of what was available.     

Remote Sensing Extraction of Soil Salinity in Yellow River Delta Kenli County based on Feature Space

Soil salinization is an important challenge to achieve sustainable use of land resources. The appropriate method for remote sensing quantitative inversion in the coastal Yellow River Delta region of China can provide technical reference for regional salinization monitoring and prevention. Utilizing Landsat 8 OLI image and field measured data, we extracted key surface characteristic parameters, quantitatively discussed the law and relationship between soil salinity and surface biophysical parameters and established a soil salinity inversion model. The results show that the inversion precisions of Albedo-MSAVI, SI-Albedo and SI-NDVI feature space are 83.4%, 88.8% and 80.6% respectively. The analysis shows the SI-Albedo model is suitable for the inversion of salinization level in Binhai areas. For Albedo-MSAVI and SI-NDVI models, they have certain reference significance for salinization information extraction in inland arid and semi-arid areas. Based on the inversion of the SI-Albedo feature space with the highest accuracy, the level of salinization in Kenli County is generally high-low-high trends from the east to the west, which is consistent with the formation mechanism of salt accumulation in this area.