基于协议分析的SVM入侵检测系统

随着网络技术日益发展,计算机必须面对来自全球网的各种入侵.因而需要有效的入侵检测系统保护计算机远离这些未经允许的或恶意的行为,将模式识别的方法应用到入侵检测系统中,解决了传统检测方法的缺陷.提出一种基于协议分析的SVM入侵检测方法,并使用KDD'99中的数据对该方法进行了评估,证明该方法是有效的.     

基于改进OLS算法的RBF神经网络 高速公路事件探测

提出了一种基于模糊聚类技术和RBF神经网络的混合智能高速公路事件自动探测算法,同时改进了用于RBF神经网络训练的Oils(正交最小二乘)选择算法.仿真实验证明,改进的OLS选择算法大大提高了RBF神经网络的训练速度同时具有无须事先确定RBF中心的优点,将之运用于公路事件探测可以获得满意的性能.     

轨道交通智能限界检测技术研发及应用

传统的限界检测仪存在检测时间长、安全性低、数据采集效率不高等缺点。本文介绍一种集激光扫描设备、高清影像设备、里程计等多类传感器于一体的轨道小车多传感器动态精密测量装置,阐述基于高清影像数据的轨道断面高精度、高密度数据采集方法,针对不同的应用场景采集不同的空间信息,实现超限位置里程、影像、侵限数据同步记录,并支持数据导出形成数据报告,为提升铁路客运专线的安全性提供技术支持。     

磁浮交通道岔位置检测信号冗余设计分析

磁浮交通道岔常采用整梁移动方式改变轨道方向,检测其位置信号的传感器一般使用双行程开关,这些行程开关接点的串并联方式对道岔系统的可靠性有较大影响。文章对5种磁浮交通道岔位置检测信号行程开关连接方案进行分析,探讨不同方案的可靠性和安全性并分析各方案的优缺点,为同类道岔位置检测信号冗余设计提供参考和借鉴。     

浅谈高速公路入口检测系统的功能及构成

介绍了入口超限检测系统的功能及构成,并且对其中部分分项系统进行了功能说明,对超限站的设置方案进行了详细对比分析。     

Structural damage identification by a cross modal energy sensitivity based mode subset selection strategy

This paper presents a strategy specialized for modal energy (ME) based methods, including modal strain energy (MSE) and modal kinetic energy (MKE), to select the best mode subset prior to damage identification. The damages due to the changes in stiffness and mass of structural members are both considered. In order to apply the proposed scheme to a more general situation, the cross modal energy (CME) sensitivity instead of the usual ME sensitivity is derived and designated as a sensitivity index. According to this index, the mode combinations (MCs) that are more sensitive to stiffness and mass changes are retained, while the remaining MCs that complicate the process of damage detection are eliminated. One of the important applications of the proposed mode subset selection strategy (MSSS) is to optimize the Cross-model cross-mode (CMCM) system by eliminating some redundant equations, thereby improving the performance of the CMCM method and reducing the computational burden. Numerical and experimental studies are carried out to prove the effectiveness of the proposed scheme. The results show that the performance of the CMCM method has been significantly improved after adopting the MSSS.     

Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions

Currently autonomous or self-driving vehicles are at the heart of academia and industry research because of its multi-faceted advantages that includes improved safety, reduced congestion, lower emissions and greater mobility. Software is the key driving factor underpinning autonomy within which planning algorithms that are responsible for mission-critical decision making hold a significant position. While transporting passengers or goods from a given origin to a given destination, motion planning methods incorporate searching for a path to follow, avoiding obstacles and generating the best trajectory that ensures safety, comfort and efficiency. A range of different planning approaches have been proposed in the literature. The purpose of this paper is to review existing approaches and then compare and contrast different methods employed for the motion planning of autonomous on-road driving that consists of (1) finding a path, (2) searching for the safest manoeuvre and (3) determining the most feasible trajectory. Methods developed by researchers in each of these three levels exhibit varying levels of complexity and performance accuracy. This paper presents a critical evaluation of each of these methods, in terms of their advantages/disadvantages, inherent limitations, feasibility, optimality, handling of obstacles and testing operational environments.Based on a critical review of existing methods, research challenges to address current limitations are identified and future research directions are suggested so as to enhance the performance of planning algorithms at all three levels. Some promising areas of future focus have been identified as the use of vehicular communications (V2V and V2I) and the incorporation of transport engineering aspects in order to improve the look-ahead horizon of current sensing technologies that are essential for planning with the aim of reducing the total cost of driverless vehicles. This critical review on planning techniques presented in this paper, along with the associated discussions on their constraints and limitations, seek to assist researchers in accelerating development in the emerging field of autonomous vehicle research.     

用超声波法检测钢管混凝土质量的研究

对超声波检测钢管混凝土质量的原理及方法进行研究;结合钢管混凝土拱桥的大比例模型试验,探讨了进一步提高用超声法检测和评价钢管混凝土质量准确性的途径和方法,提出了首波声时法检测和评价钢管混凝土的判别方法;将波形识别法和首波频率法与首波声时法相结合,综合判别以提高判别缺陷的类型和严重程度的准确性。研究结果表明,用所提出的方法较单一用首波声时法判别钢管混凝土质量更具有实用性。     

便携式450MHz无线数据传输综合检测设备研制方案

通过对450MHz无线调度命令维护检修工作的研究,提出了一种便于现场检修维护人员使用的综合维护检测设备,有利于快速定位故障范围、排查设备故障,从而可以解决实际工作中检修手段缺乏、检修设备繁杂、检修过程繁琐、检测工作效率低下的问题。     

船舶电网参数基于DSP的液晶显示的研究

根据点阵液晶显示模块SED1335在船舶电网参数检测中的应用,提出了一种控制液晶显示的实现方法。针对液晶显示控制系统中遇到的大量数据的实时高速传输问题,采用具有快速的计算能力和强大的信息处理能力的数字信号处理器。具体介绍了数字处理芯片TMS320F2812及液晶模块SED1335的功能特性和控制参数,并提出以TMS320F2812为控制核心的硬件电路,给出了C语言实现软件设计的具体方法。