一种抑制非视距传播误差的混合定位算法

为减小蜂窝网定位中影响定位精度的非视距(NLOS)传播误差,提出一种基于两步卡尔曼滤波到达时间差/到达角度的混合定位算法.利用卡尔曼滤波器的估计值计算非视距数据的方差,调节卡尔曼滤波器的参数,减小测量值的NLOS误差,并将经过预处理的测量值输入到扩展卡尔曼滤波器,实现混合定位.实验结果表明,该算法能有效消除NLOS误差,与Chan算法相比,其定位精度更高.     

基于三次定位过程的车牌精确定位算法设计

为了实现对车牌区域的精确定位,提出了一种基于三次定位过程的车牌定位算法,综合改进了数学形态学和纹理分析等方法.对自然环境下摄像头采集的车辆图像进行预处理后,使用像素统计法对车牌进行粗略定位,使用纹理分析法去除车牌上下边框和干扰,使用阈值法去除车牌左右边框和干扰,得到精确的车牌区域.另外还对图像的预处理进行简化,保证实时性要求.实验结果表明,改进后的算法能够对车牌进行实时、精确定位,满足了系统的要求.     

基于位置的服务中数据预处理技术的研究

为了改善基于位置的服务中查询迟缓和信息失效等问题,提出了数据预处理技术.结合移动互联网特点,通过服务器端数据预处理和提前发送,使部分移动终端向服务器端数据库的查询转化为移动终端上本地数据库查询,从而减少等待时间;运用智能学习策略提高服务信息命中率,使其更贴近用户的实际需求.实验结果表明,预处理技术能有效地提高查询效率,降低对不稳定无线网络的依赖性,减少数据的出错和重发.     

基于WiFi的超低功耗温湿度网络传感器设计

WiFi技术的功耗和定位问题是阻碍其在无线网络传感器中应用的核心问题.以集成了WiFi功能和ARM7内核的SoC芯片GS1010为核心,设计了一款超低功耗温湿度网络传感器,使用SHT15温湿度传感器对温湿度数据进行长期监测.软件系统在μC/OS-Ⅱ嵌入式实时操作系统下,实现了基于睡眠/唤醒机制的低能耗管理、基于SNMP协议的网络管理、基于RSSI的无线定位,以及传感器数据采集和无线传输.测试结果表明传感器工作稳定,达到低功耗温湿度监测和无线定位的要求.     

DYLEMA: Using walking robots for landmine detection and location

Detection and removal of antipersonnel landmines is an important worldwide concern. A huge number of landmines has been deployed over the last twenty years, and demining will take several more decades, even if no more mines were deployed in future. An adequate mine-clearance rate can only be achieved by using new technologies such as improved sensors, efficient manipulators and mobile robots. This paper presents some basic ideas on the configuration of a mobile system for detecting and locating antipersonnel landmines efficiently and effectively. The paper describes the main features of the overall system, which consists of a sensor head that can detect certain landmine types, a manipulator to move the sensor head over large areas, a locating system based on a global-positioning system, a remote supervisor computer and a legged robot used as the subsystems’ carrier. The whole system has been configured to work in a semi-autonomous mode with a view also to robot mobility and energy efficiency.     

Camera location optimisation for traffic surveillance in urban road networks with multiple user classes

New sensor technologies (e.g. surveillance cameras, loop detectors) enable the synthesis of disaggregated vehicle information from multiple locations. This article studies the camera location problem for traffic surveillance in urban road networks with multiple user classes. All users are differentiated by their own acceptance degree of camera monitoring and make their route choices in a logit-based stochastic user equilibrium manner. A bi-level programming model is proposed to formulate the problem and solved by the sensitivity analysis based branch and bound method. Numerical examples are presented to illustrate the model application and show the effectiveness of the solution method.     

Partial state and input observability recovering by additional sensor implementation: a graph–theoretic approach

This article deals with the problem of additional sensor location in order to recover the observability of any given part of the state and unknown input for structured linear systems. The proposed method is based on a graph-theoretic approach and assumes only the knowledge of the system's structure. We first provide graphical and necessary sufficient conditions for the generic observability of any given part of the state and input. Then, we study the number and location of additional sensors in order to satisfy the latter conditions. On the one hand, we provide necessary requirements to be satisfied by these additional sensors. On the other hand, we give other sufficient simple conditions allowing us to add a number, which is guaranteed to be minimal, of sensors to ensure the observability of any given part of the state and unknown input.     

对3F机组调速器推拉杆压板上定位销扭断的分析——以水布垭电站为例

3F机组调速器推拉杆压板上定位销扭断分析是机组运行中的常见问题,原因比较复杂,有时可能是好几种原因综合的结果。对3F机组调速器接力器推拉杆压板上定位销扭断的原因进行了分析,提出了一系列的技术改进措施,并针对水布垭机组提出了解决方案。     

基于边缘统计和特征定位的人脸姿态估计方法

提出基于整体信息和基于局部信息的人脸姿态估计方法,并对两种方法进行比较分析。基于边缘统计特征的人脸姿态估计算法先利用人脸整体信息,提取边缘统计特征,再使用线性回归算法建立特征与姿态间的对应关系。基于特征定位的人脸姿态估计是一种基于局部信息的算法,该算法先使用数理形态学运算精确定位鼻孔,再根据鼻孔与眼睛的位置关系进行人脸姿态估计。实验结果表明,本文的算法具有准确度高,计算速度快的优点。     

热路径结合程序切片思想在错误定位中的应用

回归测试指对修改后的软件进行测试.为提高回归测试错误分析效率,基于目前热路径思想在程序分析里的应用,结合程序切片方法,提出一种高效的回归测试方法.首先找出在程序执行过程中方法级的执行路径频率,结合应用Dslice切片算法应用用于回归测试,对已知的错误的程序进行调试,比较准确地进行了方法级的错误定位.实验结果表明通过热路...