用于结构损伤位置识别的两种神经网络性能比较

为了克服用BP网络进行结构损伤位置识别时网络结构确定难、网络训练易陷入局部极小、训练时间长以及处理带噪声数据需要大量的误码练样本等问题，提出用SOFM网络进行结构损伤位置识别的方法。分别用SOFM网络和BP网络对一桁架结构进行损伤位置识别，通过比较两种网络的性能发现SOFM网络不但网络结构容易确定，网络训练不存在陷入局部极小的问题，BP网络只有在大量训练样本条件下才能保证网络具有较好的抗噪声能力，若训练样本不足，则BP网络的抗噪声性能较差，而SOFM网络在较少训练样本情况下即可具有良好的抗噪声性能，因而SOFM网络更适合训练样本有限备件下的结构损伤位置识别。     

DWT-Based Robust Color Image Watermarking Scheme

A scheme of embedding an encrypted watermark into the green component of a color image is proposed. The embedding process is implemented in the discrete wavelet transformation （DWT） domain, The original binary watermark image is firstly encrypted through scrambling technique, and then spread with two orthogonal pseudo-random sequences whose mean values are equal to zero, and finally embedded into the DWT low frequency sub-band of green components, The coefficients whose energies are larger than the others are selected to hide watermark, and the hidden watermark strength is determined by the energy ratio between the selected coefficients energies and the mean energy of the subband. The experiment results demonstrate that the proposed watermarking scheme is very robust against the attacks such as additive noise, low-pass filtering, scaling, cropping image, row （or column ） deleting, and }PEG compression.     

地图信息“捕捉”与应用例举

地图具有运用特殊数学法产生的可量测计算性、采用专用地图语言产生的直观易读性、实施合理制图综合产生的综观一览性等3大特性。在信息呈海量增长并伴随新信息不断产生的当今,无论是以地图作为表述事物的工具,还是阅读地图"捕捉"所需信息,或者使用地图分析解决问题,其优势都是不言而喻的。     

指纹图像在数字签名中的应用

为了减少证书管理的开销，基于身份的公钥密码体制在基于证书的公钥密码体制诞生后出现，并且越来越受到关注。针对椭圆曲线上的离散对数分离难问题，利用生物特征信息产生密钥数据，提出了一种基于生物特征身份的签名方案，确保信息传输的完整性和真实性，并对其安全性进行了分析。     

交流异步传动系统的输出策略

为构建传动系统输出动力图谱,从直流侧电压变化的角度论述并提出一种交流异步传动系统输出新策略,在电源的电压变化范围内,利用异步牵引电机的特有输出特性,使传动系统有较大功率输出,不仅满足负载的动力需求,同时兼顾逆变器的安全和系统运行可靠性需求。     

轨道电路智能短路装置研制与开发

轨道电路智能短路装置,其轨面吸合采用扼铁磁回路封闭吸合模式,恒流有源检测方式,不受轨道电路送、受端方向的限制;应用数字滤波技术,降低了交流轨道电路对分路线检测精度的干扰;运用软、硬件技术,实现分路线的分路状态在线检测功能,彻底消除了轨道电路分路防护存在的不安全隐患。     

Developing travel time estimation methods using sparse GPS data

Existing methods of estimating travel time from GPS data are not able to simultaneously take account of the issues related to uncertainties associated with GPS and spatial road network data. Moreover, they typically depend upon high-frequency data sources from specialist data providers, which can be expensive and are not always readily available. The study reported here therefore sought to better estimate travel time using “readily available” vehicle trajectory data from moving sensors such as buses, taxis, and logistical vehicles equipped with GPS in “near” real time. To do this, accurate locations of vehicles on a link were first map-matched to reduce the positioning errors associated with GPS and digital road maps. Two mathematical methods were then developed to estimate link travel times from map-matched GPS fixes, vehicle speeds, and network connectivity information with a special focus on sampling frequencies, vehicle penetration rates, and time window lengths. Global positioning system (GPS) data from Interstate I-880 (California) for a total of 73 vehicles over 6 h were obtained from the University of California Berkeley's Mobile Century Project, and these were used to evaluate several travel time estimation methods, the results of which were then validated against reference travel time data collected from high resolution video cameras. The results indicate that vehicle penetration rates, data sampling frequencies, vehicle coverage on the links, and time window lengths all influence the accuracy of link travel time estimation. The performance was found to be best in the 5-min time window length and for a GPS sampling frequency of 60 s.     

AutoNet数字信息平台及其在舰船上的应用

AutoNet是基于中国发明专利的新型数字信息平台,由于高性能免编程并能简化应用软件编制的特点,将取代RS232、RS485、CAN等计算机通信标准,成为舰船信息监控领域里的新标准。本文介绍了AutoNet的分布数据库高速刷新、平台管理技术、工业以太网等技术原理和技术指标,介绍了AutoNet标准接口的使用方法和设计方法。AutoNet已成功地应用到舰船、工业等领域里几十个工程项目,促进了舰船数字集成平台技术的发展。     

面向智能车定位的道路环境视觉地图构建

为实现智能车视觉定位,提出了一种基于多视角、多维度道路环境表征的高精度视觉地图构建方法,该方法明确了视觉地图的表征模型,包括视觉特征、场景结构信息以及轨迹信息等。在视觉特征中,运用前视场景全局特征描述道路环境,视觉特征不局限于某一种特征描述子;在场景结构信息中,运用俯视路面的2D结构信息进行描述,该特征与前视视觉特征构成多视角;轨迹信息则通过视觉维度以及地理维度的多维度方式完成计算,在视觉维度中,通过平面单应性计算节点间的轨迹;地理维度中,通过高精度经纬度信息消除累积误差问题。试验选取武汉理工大学内长约700 m的半开放式环形路段进行试验。试验结果表明：制图的单节点平均误差为3.1 cm,标准差为2.3 cm,最大节点误差为9.3 cm,累积误差率为0.5%。运用所制地图进行定位检测,平均定位误差约为11.8 cm,因此,研究所提出的方法可应用于半开放式路段或固定场景的视觉地图构建,为实现智能车在上述场景的定位打下基础。同时,研究提出的制图方法不需使用双目摄像机,在降低数据存储量以及制图成本的前提下,实现了对道路环境的充分表征;此外,运用路面2D特征结构信息计算轨迹,解决了视觉3D重建精度不稳定的问题,为视觉地图构建提供了新的构建思路。     

Banach空间非单调条件下二阶周期边值问题解的存在性

在Banach空间中,非线性f(t,u)项关于u非单调条件下,讨论了二阶常微分方程周期边值问题解的存在性,所用的工具是非紧性测度,凝聚映射的拓扑度及Sadovskii不动点定理.