A Model-Based Method for an Online Diagnostic Knowledge-Based System

Fault diagnosis is very important for modern production technology and has received increasing theoretical and practical attention during the last few years. This paper presents a model-based diagnostic method for industrial systems. An online, real-time, deep knowledge based fault detection system has been developed by combining different development environments and tools. The system diagnoses, predicts and compensates faults by coupling symbolic and numerical data in a new environment suitable for the interaction of different sources of knowledge and has been successfully implemented and tested on a real hydraulic system.     

How Practical is a Code of Ethics for Software Engineers Interested in Quality?

Software Quality Journal -     

Quality through Managed Improvement and Measurement (QMIM): Towards a Phased Development and Implementation of a Quality Management System for a Software Company

The paper describes results of a longitudinal study of developments in the area of software product and process quality improvement within a Hungarian software company, IQSOFT Ltd. This company has been active in this area since 1993, trying to build, introduce and maintain an efficiently working quality management system which, e.g., fulfils the ISO 9001 requirements, allows steady software process improvement and, at the same time, conforms to company's own needs. Over the last eight years five phases could be distinguished. Each phase is described shortly, following the same structure, namely: basic starting points, key problem areas, literature consulted, activities and design executed, reflections on what happened and why. The lessons resulting from the analysis of this case have been formulated in terms of guidelines. We feel that these are applicable to any low maturity software development organisation embarking on a product or process quality improvement endeavour. These guidelines are developed around a framework containing the basic issues of software production (project management, technical processes and products). The guidelines advocate a careful step-by-step development of definitions, quality characteristics, and metrics related to these objects while at the same time developing and introducing the associated process.     

同位素扫描仪的图象信号特点分析及处理方法

分析了同位素扫描仪的图象信号的特点,指出了影响同位素扫描图象质量的主要因素,针对其特点提出了相应的图象处理方法,有效地改善了图象质量。     

网络电话话音编解码的实现和分析

分析了网络电话话音压缩的算法原理,并在此基础上分析了实际设计的IP电话系统的话音编码过程。     

模拟预测滤波器的设计与分析

设计了一种具有特殊的窄带信号模型预测性能的模拟连续时间滤波器。该滤波器是通过离散时间区域中使用模型传递函数设计的具有有源RC的结构。     

基于神经网络的时间序列鲁棒预测

为了实现神经网络预测模型的便棒预测,提出一种基于非线性偏自相关的一般化预测模型辨识方法。该方法通过考察待预测时间序列的当前序列值对各阶历史序列的不可约自依赖,确定神经网络这类非线性自回归模型的自回归阶数。实现表明,该方法可有效地提高神经网络预测模型的鲁棒预测能力。     

用神经网络模型预测饱和液体的传递性质

使用神经网络模型 ,对纯物质的饱和液体传递性质粘度、导热系数及表面张力与温度的函数关系进行预测。对常见的 35 0多种有机物的预测结果表明 ,在熔点到临界点的温度范围内 ,粘度、导热系数及表面张力的平均预测误差分别为 0 12 %、 0 0 9%及 0 0 3%。     

硫氮或硫硼配合对油菜籽产量及品质的影响

1995～ 1 996年进行的田间和盆栽试验表明 ,硫氮或硫硼配施可以显著增加菜籽产量 .硫氮配施比对照增产 1 0 8 2～ 3 1 4 0kg/hm2 和 5 5～ 1 9 6% ,硫硼配施比对照增产 83 4～ 2 4 8 2kg/hm2 和 6 9～2 3 1 % .施硫可以增加油菜植株体内的硫含量并改善其硫素营养 ;在缺硫土壤上施硫可以降低菜籽硫甙及芥酸含量 ,提高油酸含量 ,因此有改善菜籽品质的作用 .     

基于自组织神经网络的烧结终点自适应预报系统的开发

烧结终点的在线检测和提前预报对于稳定终点,进而提高烧结矿强度和产量、降低能耗有重要意义。文章介绍了烧结终点的软测量方法;提出了一个新的预报参数——风箱废气温度曲线拐点;将多层前向人工神经网络应用于烧结终点的预报,对BP算法做了较大改进,使学习算法可以自组织神经网络的结构。应用这些技术开发的烧结终点自适应预报系统能够快速、准确地判断和预报烧结终点的状态,可用于在线操作指导或作为自动控制的依据。