Scheduling for Uncertain Data Broadcast in Mobile Networks

With the increasing popularity of wireless sensor network and GPS (global positioning system) , uncertain data as a new type of data brings a new challenge for the traditional data processing methods. Data broadcast is an effective means for data dissemination in mobile networks. In this paper, the definition of the mean uncertainty ratio of data is presented and a broadcasting scheme is proposed for uncertain data dissemination. Simulation results show that the scheme can reduce the uncertainty of the broadcasted uncertain data effectively at the cost of a minor increase in data access time, in the case of no transmission error and presence of transmission errors. As a result, lower uncertainty of data benefits the qualities of the query results based on the data.     

An range-free localization scheme for large scale underwater wireless sensor networks

In this paper, we study an area localization problem in large scale underwater wireless sensor networks (UWSNs). The limited bandwidth, the severely impaired channel and the cost of underwater equipment all make the underwater localization problem very challenging. Exact localization is very difficult for UWSNs in deep underwater environment. We propose a range free method based on mobile detachable elevator transceiver (DET) and 3D multi-power area localization scheme (3D-MALS) to address the challenging problem. In the proposed scheme, the ideas of 2D multi-power area localization scheme (2D-ALS) and utilizing DET are used to achieve the simplicity, location accuracy, scalability and low cost performances. The DET can rise and get down to broadcast its position. And it is assumed that all the underwater nodes underwater have pressure sensors and know their z coordinates. We evaluate the performances of 2D-ALS and our proposed 3D-MALS schemes under both ideal and non-ideal channel propagation conditions, in terms of localization error and localization ratio. The simulation results show that our proposed scheme is much more efficient than the 2D-ALS.     

Constrained submap algorithm for simultaneous localization and mapping

When solving the problem of simultaneous localization and mapping (SLAM), a standard extended Kalman filter (EKF) is subject to linearization errors and causes optimistic estimation. This paper proposes a submap algorithm, which builds a weighted least squares (WLS) constraint between two adjacent submaps according to the different estimations of the common features and the relationship between the vehicle poses in the corresponding submaps. By establishing the constraint equation after loop closing, re-linearization is implemented and each submap’s reference frame tends to its equilibrium position quickly. Experimental results demonstrate that the algorithm could get a globally consistent map and linearization errors are limited in local regions.     

带阻尼失谐周期多跨连续梁的振动局部化问题

利用传递矩阵法分析研究了带阻尼失谐周期多跨梁中的振动局部化现象,将阻尼和失谐对于近周期结构的动力性能的影响进行了比较,并分析了两者同时存在时引起的综合效应与它们各自的影响之间的关系．结果表明：在无阻尼周期结构中处于“通频”范围内的振动能够传遍整个结构而不会发生衰减,但当结构中存在阻尼或失谐时,同样的振动在传播过程中将会发生指数衰减．     

路面破损特征量的激光检测研究

为科学准确地计算出某一路段沥青路面的破损量,降低维护费用,研制了路面破损激光检测系统,应用激光测距仪、倾角传感器、陀螺仪等先进电子传感器对路面的破损特征量进行三维测量和定位,来检测路面的破损程度及通过坐标变换法计算出沥青路面的总破损体积量。     

基于Java的Mobile Agent结构研究

与传统的分布式计算相比较,Mobile Agent模型无疑具有更广泛的发展前景.它采用面向对象的思想,使Agent具有了类的一切特性.Java语言由于其对网络和多线程支持还有与平台无关的特性使得它是一种适合开发Mobile Agent的语言.以Java为基础,提出了一种开发Mobile Agent的方案,并对相应的关键技术问题给予说明,讨论了系统的可扩展性和安全性,从而为实现Mobile Agent的开发开辟了新的途径.     

GSM-R移动终端测试浅析

论述了GSM—R移动终端测试的重要性，根据相关规范提出GSM—R移动终端的测试指标，并结合测试仪器对GSM—R移动终端的测试方法进行了阐述。     

北京城铁13号线车辆滤波电抗器的国产化

简要介绍了北京城铁13号线车辆滤波电抗器国产化的研制背景、技术指标及其结构特点,通过型式试验和实际运行考核,验证了国产化滤波电抗器能满足设计要求,可替代进口产品。     

HX_D1型机车高强度不锈钢牵引销的研制

文章主要对HXD1型机车高强度不锈钢牵引销的国产化研制过程进行介绍,重点从材料选型、机械性能确定、热处理制造工艺、表面硬化技术等方面进行论述和分析。     

城轨车辆辅助逆变器设计选型与发展趋势

城轨车辆采用静止辅助逆变器作为逆变电源。文章简要介绍了常见的几种辅助逆变器的拓扑结构,比较了它们的优缺点,重点介绍了高频隔离变压器方案,并对未来辅助逆变器的发展趋势作出展望。