IP网络环境下基于PI控制的实时视频流连续播放控制算法

为了克服IP网络环境下网络扰动对流媒体连续播放的影响,从接收端的角度来解决流媒体连续播放问题,提出一种基于PI控制的实时视频流连续播放控制算法.该方法在接收端使用根轨迹法设计PI控制器,通过控制播放速率,调节缓冲区的长度,实现了媒体的连续播放.为了真实地反映网络传输对接收端播放的影响,本文构建了一种基于TFRC协议的实时视频流传输控制框架.NS2仿真实验表明该方法与其他方法相比,播放质量明显提高,缓冲区出现欠载和溢出的机率明显降低,视频帧端到端平均时延明显缩小,实时性能明显增强.     

回归测试中基于值谱比较的偏离根定位法

在回归测试中,利用程序谱中的值谱比较不同版本程序的内部行为,将程序的比较转换为函数状态的比较,以估计偏离发生的大概位置,找到偏离根所在的函数。引入偏离调用树记录发生偏离的函数,在此基础上提出2种缩小偏离根定位范围的启发式方法,使偏离根的定位更精确。     

密钥交换协议中本原根的快速更新算法

Diffie-Hellman密钥交换协议可以使通信双方在不可信信道上建立共享密钥,从而实现安全通信。提出该协议的安全性建立在DH安全大素数P及其本原根g的基础上。证明了形如P=2q+1(其中q=4i+1是大素数)的DH安全大素数P有q-1个本原根,由P的最小本原根2可以快速生成其余本原根,并提出快速生成安全大素数P及其本原根g更新的算法。     

自适应平方根无迹卡尔曼滤波算法

将高斯过程回归融入平方根无迹卡尔曼滤波(SRUKF)算法,本文提出了一种不确定系统模型协方差自适应调节滤波算法.该算法分为学习和估计两部分:学习阶段用高斯过程对训练数据进行学习,得到系统回归模型及噪声协方差;估计阶段由回归模型代替状态方程和观测方程,相应的噪声协方差实时自适应调整.该方法克服了传统方法容易受系统动态模型不确定性和噪声协方差不准确限制的问题,仿真结果验证了算法的有效性.     

基于巴克豪森效应的钢板内部缺陷检测方法

阐述了巴克豪森信号用于缺陷检测的原理.根据趋肤效应,提出通过改变交变磁场的频率来调节磁场的穿透深度,实现对铁磁性材料逐层扫描,来完成铁磁材料内部较深缺陷的检测.同时提出用小波多分辨率分析方法进行信号处理.对 A3 钢板的系列实验结果表明:该方法可实现对钢板内空气隙缺陷的检测和定位;用小波多分辨率分析方法处理信号的效果要...     

Nonlinear aircraft sensor fault reconstruction in the presence of disturbances validated by real flight data

This paper proposes an approach for Inertial Measurement Unit sensor fault reconstruction by exploiting a ground speed-based kinematic model of the aircraft flying in a rotating earth reference system. Two strategies for the validation of sensor fault reconstruction are presented: closed-loop validation and open-loop validation. Both strategies use the same kinematic model and a newly-developed Adaptive Two-Stage Extended Kalman Filter to estimate the states and faults of the aircraft. Simulation results demonstrate the effectiveness of the proposed approach compared to an approach using an airspeed-based kinematic model. Furthermore, the major contribution is that the proposed approach is validated using real flight test data including the presence of external disturbances such as turbulence. Three flight scenarios are selected to test the performance of the proposed approach. It is shown that the proposed approach is robust to model uncertainties, unmodeled dynamics and disturbances such as time-varying wind and turbulence. Therefore, the proposed approach can be incorporated into aircraft Fault Detection and Isolation systems to enhance the performance of the aircraft.     

基于S3C6410处理器的嵌入式Linux系统移植

文章详细阐述了如何在基于S3C6410微处理器的目标板上搭建嵌入式Linux系统的方法。首先介绍嵌入式Linux的移植方法,接着介绍交叉编译环境的搭建,最后详细讨论了将BootLoader、Linux内核及根文件系统移植到$3C6410的过程。结果证明方法可行,重新搭建后的操作系统在目标板上运行稳定。     

Ensemble data assimilation in the presence of cloud

In numerical weather prediction (NWP) data assimilation (DA) methods are used to combine available observations with numerical model estimates. This is done by minimising measures of error on both observations and model estimates with more weight given to data that can be more trusted. For any DA method an estimate of the initial forecast error covariance matrix is required. For convective scale data assimilation, however, the properties of the error covariances are not well understood.An effective way to investigate covariance properties in the presence of convection is to use an ensemble-based method for which an estimate of the error covariance is readily available at each time step. In this work, we investigate the performance of the ensemble square root filter (EnSRF) in the presence of cloud growth applied to an idealised 1D convective column model of the atmosphere. We show that the EnSRF performs well in capturing cloud growth, but the ensemble does not cope well with discontinuities introduced into the system by parameterised rain. The state estimates lose accuracy, and more importantly the ensemble is unable to capture the spread (variance) of the estimates correctly. We also find, counter-intuitively, that by reducing the spatial frequency of observations and/or the accuracy of the observations, the ensemble is able to capture the states and their variability successfully across all regimes.