飞行器特性曲线拟合与飞行仿真研究

随着计算机技术的高速发展,计算机仿真在航空航天领域得到了广泛的应用.飞行器的计算机飞行仿真计算涉及大量气动力特性和发动机特性参数,对这些参数采用两参数和三参数的曲线拟合方法替代过去的数值插值方法,减少了输入参数的数量,大大提高了仿真程序的代码效率和仿真实时性.基于这种方法拟合发动机和飞机气动特征的特性曲线,并利用Runge-Kutta方法建立了飞行方程的数值解算程序,对某型飞机起飞-巡航-降落过程进行了数值仿真.在此基础上设计了全程可视化程序,得到了全过程的舵面控制规律,为飞行模拟器的设计提供了有效的方法和手段.     

基于Web数据挖掘的个性化搜索引擎研究综述

Web数据挖掘是将教据挖掘技术和理论应用于对WWW资源进行挖掘的一个新兴的研究领域.论述Web数据挖掘的发展现状、发展趋势以及将来可能的研究方向,并简单介绍个性化搜索引擎的一些情况,论述web教据挖掘在个性化搜索引擎中的应用.     

基于Truevision3D的虚拟现实技术

在介绍TV3D引擎的基础上重,点讨论了在Visual C#.NET中使用TV3D引擎实现虚拟现实的方法和步骤.文中采用动态摄像机,当操作键盘或鼠标来移动目标物体时,场景视角和摄像机会自动调整,很简单地就实现了虚拟漫游.实验结果表明,使用TV3D引擎来实现虚拟现实,很多底层的功能很容易实现.     

基于Web的建筑业信息搜索引擎的设计与实现

随着Web信息的急剧增长使搜索引擎专用化成为发展趋势.根据当前的需求提出了实现建筑业信息搜索引擎设计方法.重点论述主题搜索引擎的信息采集策略,并给出了一种比较理想的建筑业信息搜索引擎设计方案.     

基于人工神经网络预测柴油机油台架试验结果

根据ＣＤ级柴油机的模拟实验与台架试验的基础数据,用人工神经网络的反向传播（ＢＰ）方法,对两者的关系进行了研究,给出了人工神经网络的学习速率为０．２,动量因子为０．９,对人工神经网络的拓扑结构也进行了研究,得到了合适的５－７－２拓扑结构及各节点间的权重系数。探讨了用模拟实验数据预测台架试验结果的可能性,通过检验,证明了用人工神经网络方法建立的模型能准确预报柴油机油的台架试验结果。     

Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis

Whenever there is any fault in an automotive engine ignition system or changes of an engine condition, an automotive mechanic can conventionally perform an analysis on the ignition pattern of the engine to examine symptoms, based on specific domain knowledge (domain features of an ignition pattern). In this paper, case-based reasoning (CBR) approach is presented to help solve human diagnosis problem using not only the domain features but also the extracted features of signals captured using a computer-linked automotive scope meter. CBR expert system has the advantage that it provides user with multiple possible diagnoses, instead of a single most probable diagnosis provided by traditional network-based classifiers such as multi-layer perceptions (MLP) and support vector machines (SVM). In addition, CBR overcomes the problem of incremental and decremental knowledge update as required by both MLP and SVM. Although CBR is effective, its application for high dimensional domains is inefficient because every instance in a case library must be compared during reasoning. To overcome this inefficiency, a combination of preprocessing methods, such as wavelet packet transforms (WPT), kernel principal component analysis (KPCA) and kernel K-means (KKM) is proposed. Considering the ignition signals captured by a scope meter are very similar, WPT is used for feature extraction so that the ignition signals can be compared with the extracted features. However, there exist many redundant points in the extracted features, which may degrade the diagnosis performance. Therefore, KPCA is employed to perform a dimension reduction. In addition, the number of cases in a case library can be controlled through clustering; KKM is adopted for this purpose. In this paper, several diagnosis methods are also used for comparison including MLP, SVM and CBR. Experimental results showed that CBR using WPT and KKM generated the highest accuracy and fitted better the requirements of the expert system.     

Working conditions in the engine department – A qualitative study among engine room personnel on board Swedish merchant ships

The specific problems associated with the work on board within the merchant fleet are well known and have over the years been a topic of discussion. The work conditions in the engine room (ER) are demanding due to, e.g. the thermal climate, noise and awkward working postures. The work in the engine control room (ECR) has over recent years undergone major changes, mainly due to the introduction of computers on board. In order to capture the impact these changes had implied, and also to investigate how the work situation has developed, a total of 20 engine officers and engine ratings were interviewed. The interviews were semi-structured and Grounded Theory was used for the data analysis. The aim of the present study was to describe how the engine crew perceive their work situation and working environment on board. Further, the aim was to identify areas for improvements which the engine crew consider especially important for a safe and effective work environment. The result of the study shows that the design of the ECR and ER is crucial for how different tasks are performed. Design which does not support operational procedures and how tasks are performed risk inducing inappropriate behaviour as the crew members’ are compelled to find alternative ways to perform their tasks in order to get the job done. These types of behaviour can induce an increased risk of exposure to hazardous substances and the engine crew members becoming injured.     

安全群组通信在远程教育系统中的应用

近年来,随着远程教育的发展,远程教育的通信安全成为远程教育网络安全体系的研究热点。而构建于群组通信系统之上的安全群组通信系统(SGCS),不仅可提供可靠的、顺序的消息传送和小组成员关系服务,还能为成员间消息的传输提供安全机制。针对远程教育通信的特点,将SGCS和流媒体传输技术融合后应用于远程教育通信中,构建了一个远程流媒体课堂系统。     

学校网络机房故障与维修分析

从目前来看,学校网络机房的管理中管理者更多关注的是技术上的维护和保障工作,缺乏维修理念、缺乏对故障信息、维修信息的系统分析、缺乏对维修的效一费分析以及有效度的分析,因此,网络机房的维修工作存在着盲目性,缺乏计划性和目标性。所以应加强网络机房的科学化管理,加强对机房故障信息的统计分析,预防并减少故障,改善网络机房设备的技术状态;加强可靠性为主的维修理念,提高机房维修的有效度,确保机器本身的正常运转,延长使用寿命,更保障教学的顺利进行：本文通过对网络机房故障信息和维修信息的记录分析,得出对机房故障、维修方面有实效性的管理措施和对策。     

农业专家系统在农业高校和京郊农村的发展

农业专家系统是一项在信息技术中结合农业特点发展起来的高新技术。它对于提高广大农业人员的科技文化素质,提升农业科技自主创新能力,实现农业生产的跨越发展具有特别重要的作用。高等农业院校和广大农村又是农业专家和农业知识高度密集的地方,更应该使农业专家系统拥有广阔的用武之地。