并行哈夫曼编码器的硬件设计与实现

文章设计了一种并行编码的哈夫曼硬件编码器，它采用了流水线和并行编码方法，使得在一个时钟周期内可以编码一个字节的数据，在编码时显著降低了工作频率。文章给出了关键部分的实现方案并分析了实验结果。     

系统备份及其误区分析

文章对系统备份的几个主要方面进行了讨论，并在此基础上，对系统备分的若干认识误区进行了分析。     

基于多传感器数据融合方法的火灾模拟实验炉温度采集系统

基于多传感器算术平均值与分批估计的数据融合方法在火灾模拟实验炉上温度数据采集中的应用，用VB6．0开发了相应的实际应用系统。     

数据采集与监控软件Genie

Genie是具有国际先进水平的数据采集与监控软件，它提供了一个面向对象的图形化用户界面，因此简化了数据采集过程、控制应用程序开发和操作员界面。本文介绍了Genie的特点、功能、基本用途以及VISUALBA－SIC在设计这类监控软件中的作用。     

燃煤电厂融合多信号光纤火焰检测器的开发研究

介绍一种新型光纤燃煤炉火焰检测器，阐述其系统组成及特点，并提出了基于模糊推理的多信号融合处理方法。     

FindOut: Finding Outliers in Very Large Datasets

Finding the rare instances or the outliers is important in many KDD (knowledge discovery and data-mining) applications, such as detecting credit card fraud or finding irregularities in gene expressions. Signal-processing techniques have been introduced to transform images for enhancement, filtering, restoration, analysis, and reconstruction. In this paper, we present a new method in which we apply signal-processing techniques to solve important problems in data mining. In particular, we introduce a novel deviation (or outlier) detection approach, termed FindOut, based on wavelet transform. The main idea in FindOut is to remove the clusters from the original data and then identify the outliers. Although previous research showed that such techniques may not be effective because of the nature of the clustering, FindOut can successfully identify outliers from large datasets. Experimental results on very large datasets are presented which show the efficiency and effectiveness of the proposed approach. Received 7 September 2000 / Revised 2 February 2001 / Accepted in revised form 31 May 2001 Correspondence and offprint requests to: A. Zhang, Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA. Email: azhang@cse.buffalo.eduau     

窄禁带半磁半导体Hg_(1-x)Mn_xTe的磁化强度

本文报道用提拉法测量Hg_(1-x)Mn_xTe单晶磁化强度的实验结果.在低温1.5K-30K范图内,磁场强度为0-7万高斯下,测量了不同组分x=0.06,0.08,0.12,0.16的Hg_(1-x)Mn_xTe磁化强度与组分,温度和磁场强度的关系.采用分子场近似模型,用类布里渊函数,最小二乘法对实验结果进行了拟合和分析.结果表明在本文x值范围内,理论与实验符合较好,证实了锰离子间存在强的反铁磁交换耦合.     

Prediction of swirling confined diffusion flame with a Monte Carlo and a presumed-PDF-model

This work aims to compare numerical results obtained by using the Monte Carlo composition-PDF method and a presumed-β-PDF in order to reveal their effects on the prediction of flow and scalar fields in swirling confined methane diffusion flame. Using the intrinsic low dimensional manifolds method for modelling the chemistry and a second moment closure for the turbulence, it is shown that both PDF-methods provide a similar accuracy level of the prediction of mean quantities. While the presumed-β-PDF performs using reasonable computational efforts, the Monte Carlo-PDF allows to capture well the turbulence-chemistry interaction and strong finite-chemistry effects such as local extinction.     

Extrapolation of fuzzy values from incomplete data bases

This paper presents different approaches which enable a data base management system to obtain a plausible fuzzy estimate for an attribute value of an item for which the information is not explicitly stored in the data base. This can be made either by a kind of analogical reasoning from information about particular items or by means of expert rules which specify the (fuzzy) sets of possible values of the attribute under consideration, for various classes of items. Another kind of expert rules enables the system to compute an estimate from the attribute value of another item provided that, in other respects, this latter item sufficiently resembles the item, the value of which we are interested in; then these expert rules are used either for controlling the analogical reasoning process or for enlarging the scope of application of the first kind of expert rules. The different approaches are discussed in the framework of possibility theory.