基于ArcGIS Engine的矿井巷道三维自动建模方法的研究与实现

文章比较和分析了几种矿井巷道三维建模技术,提出了一种基于ArcGIS MultiPatch 3D数据结构的矿井巷道三维建模方法,即在C#开发环境下,结合巷道自身的特点,在ArcGIS Engine平台上进行二次开发,实现了矿井巷道的三维自动建模。该方法为矿井巷道三维信息系统的建立提供了新的解决方案。     

Lyapunov-based feedback design and experimental verification of IC engine speed control

In this paper, the speed control problem of internal combustion engines is investigated based on mean-value engine models. The dynamics of internal combustion engines is a complicated nonlinear system, and usually, it is difficult to know the exact values of the physical parameters. First, a Lyapunov-based design method is shown without requiring the full information of the physical parameters. Then, to improve transient performance, the design method is extended to several cases under different operation conditions. Numerical simulation results are presented for comparing the proposed design methods. Finally, experiments are conducted on an engine test bench and the results demonstrate the validity of the proposed design methods. Recommended by Editorial Board member Myotaeg Lim under the direction of Editor Hyun Seok Yang. The authors are grateful to Kai Zheng for his assistance of the model identification experiments. Jiangyan Zhang received the B.E. and M.E. degrees in Electrical Engineering, Yanshan University, China, in 2005 and 2008, respectively. Now, she is a Ph.D. candidate with the Department of Engineering and Applied Sciences, Sophia University, Tokyo, Japan. Her current research interests include nonlinear system control theory and applications to powertrain system control. Tielong Shen received the Ph.D. degree in Mechanical Engineering from Sophia University, Tokyo, Japan, March, 1992. From April 1992, he has been a faculty member of the Chair of Control Engineering in Department of Mechanical Engineering, Sophia University, where he currently serves as professor of the Department of Engineering and Applied Science. His research interests include control theory and application in mechanical systems, power systems, and automotive powertrain. Currently, he is an Associate Editor for the IEEE Control System Society Conference Editorial Board, and is serving as Associate Editor of Journal of Control Theory and Applications, and the Regional Editor Asia-Pacific for International Journal of Modeling, Identification and Control etc. Junichi Kako received the B.E. degree from Nagoya Institute of Technology, Nagoya, Japan. He joined Toyota Motor Corporation, Tokyo, Japan in 1989. He worked on various aspects of automotive powertrain control. From 1989 to 1994, he took part in the team for the development of Laboratory Automation (LA) system, Engineering Office Automation (EOD) system, and embedded system of powertrain control. During 1995–2001, he focused on the engine control systems in Powertrain Management Engineering Division. In 2002, he was with Future Project Division in which he was responsible for the R&D of model-based engine control system. Currently, he is developing engine control systems in the Powertrain Management Engineering Division, Toyota Motor Corporation. Shozo Yoshida received the M.S. degree in Engineering from Kyoto University, Kyoto, Japan. He joined Toyota Motor Corporation, Tokyo, Japan in 2000. From 2000 to 2004, he was with Future Project Division and worked on physical combustion modeling for Model-based Control Development. Since 2005, he has been with the Powertrain Management Engineering Division Toyota Motor Corporation, and is a member of the R&D of Model-based Engine Calibration.     

基于多核的入侵防御引擎设计与实现

本文提出了一种基于多核的入侵防御引擎的设计模型,并根据此模型实现了一款入侵防御引擎。经过测试表明,此款多核入侵防御引擎的实现与传统入侵防御引擎相比性能优异,满足高性能网络安全的需要。     

基于ArcGIS的县级林业资源管理信息系统研究

随着GIS技术的不断发展,市、县级林业局对森林资源信息化管理的需求日益增高.研究建立一个通用的县级林业资源管理信息系统具有非常重要的实用价值.ArcGIS Engine是ESRI(美国环境系统研究所)开发的嵌入式GiS.Ar-cGIS Engine提供了全面、完善的二次开发功能,并且具有与平台无关性.围绕着这些功能和特色,采用ArcGIS Engine结合SQL Server 2005数据库在.NET平台上建立了一个通用的县级林业资源管理信息系统.     

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.