基于CUDA的快速LBP纹理背景建模算法

针对复杂条件下背景建模这一视频检测领域的难点,提出一种基于Nvidia CUDA架构图形处理器(GPU)的快速LBP纹理直方图背景建模算法,算法根据GPU的并发结构和硬件特点,采用纹理存储和分页存储方式,利用共享内存与多点访问技术,提高数据访问效率,降低了算法复杂度.实验结果表明,相比CPU实现,GPU方式能够明显改善实时性能,平均加速比在30x左右,帧处理速度达到40 f/s以上.     

基于自适应逆控制的APF建模与收敛过程分析

根据能量守恒原理，电力有源滤波器的直流电容平均电压的变化能够反映系统主电流变化的趋势，据此可提出一种基于自适应逆控制的电力有源滤波器．对此有源滤波器的建模原理进行了分析，通过仿真建立了模型的动态曲线，在此基础上对系统的收敛过程作了分析研究，仿真和实验结果验证了理论分析的正确性．     

Hardware-Software Co-implementation of H.264 Decoder in SoC

Introduction H.264/AVC standard[1]significantly improvesthe video compression ratio and enhances the pow-er of video coding algorithms with increasing com-plexity. It has achieved a wide application in manyvideo fields, such as smart set-top box, video-based web browser, and videoconference etc. Image and video processing algorithms arehighly computationally intensive[2]. So they aremostly implemented by dedicated hardware archi-tecture. While with the increasing of parallel andpipelined pro…     

基于KFS分布式文件系统元数据模型的改进

研究了云计算环境下的分布式文件系统KFS的系统架构,对于海量数据存储的云存储系统来说元数据管理效率是关键,通过分析KFS文件系统的元数据模型,提出了基于KFS分布式文件系统元数据的改进模型,即利用内存缓冲策略,对待插入的元数据进行预处理并批量插入,减少查找和分裂次数,大大提高了KFS文件系统的数据访问效率.最后通过算法复杂度的分析,证明该改进算法能有效提高分布式文件系统KFS的元数据服务器的效率.同时该改进模型对于采用B^＋树索引机制来集中管理元数据的类似系统同样适用.     

基于粒子滤波的场景事件实时识别

为解决智能监控场景中场景事件的检测与分析问题,提出了一种基于粒子滤波的场景事件实时识别方法.将场景事件分解为一系列的子事件,构成多层动态贝叶斯网络模型,模型中每一状态对应一种事件.采用Particle F ilter粒子滤波方法对模型中各节点状态的后验概率进行实时估计,以对场景事件进行实时识别.采样不同的粒子数目进行了对比仿真试验,仿真结果表明该方法能够得到较高的识别精度.     

同相供电有源补偿的特性与最小容量

为确定最小补偿装置容量,对补偿电流、补偿容量和有源滤波装置容量进行了分析.结果表明:补偿装置容量与负载接入的端口无关,改变负载接入端口只能改变三相补偿电流的分布,不改变补偿装置容量;补偿装置容量与负载容量和功率因数角有关,当功率因数角在0～π范围内变化且完全补偿时,补偿装置容量在1.0～1.2倍负载容量范围内变化;补偿...     

基于JSP/Servlet的权限系统的设计与实现

对用户访问权限的控制是B/S模式系统开发和应用的一个重要环节.通过对RBAC模型以及Servlet过滤器的分析研究,给出了用户权限判断和控制的方法,并采用4层架构技术设计和实现了一个权限管理系统,有效地实现了用户对系统的安全访问.此系统具有可维护性、可扩充性和可移植性等特性.     

轨道交通中异构智融车载网络发展综述

从蜂窝无线接入技术、非蜂窝无线接入技术、异构智融车载网络接入技术三方面，分析了国内外轨道交通车载网络的研究现状；针对非蜂窝无线接入技术和蜂窝无线接入技术的问题，阐述了协同利用轨道交通周边异构无线资源进行网络融合、协同通信的优越性；从网络模型、网络架构两方面论述了异构智融车载网络的融合方案；结合智能轨道交通业务需求，从可靠性和资源利用率两方面对现有的异构智融车载网络研究进行了系统性的归类梳理；从人工智能、安全性和云边结合三方面提出未来异构智融车载网络的发展趋势。研究结果表明:异构智融车载网络可靠性分为网络架构的可靠性和数据传输的可靠性，其中在网络架构可靠性方面，主要研究了通过冗余网络架构、车云传输架构、软件定义网络构架和智慧协同网络架构4种方式提升可靠性，在数据传输可靠性方面，主要研究了通过多路径传输、网络编码和切换算法降低传输过程中的丢包率；异构智融车载网络资源利用率分为无线接入的资源利用率和链路调度的资源利用率，其中在无线接入资源利用率方面，主要通过信道状态预测、频谱划分、频移补偿3种方式增加网络吞吐量，提高资源利用率，在链路调度的资源利用率方面，主要通过调度算法、接收缓存算法和拥塞控制算法来减少异构链路对数据传输的影响，降低数据重传次数，提高网络资源利用率。      

Low-power and Low-cost Design of Survival Memory Unit for 1000Base-T Gigabit Ethernet Transceiver

Introduction The Gigabit Ethernet (GbE) on category-5unshielded twins pair (UTP) which corresponds tothe IEEE 802.3 ab1000 Base-T standard has grad-ually become the main trend of local area network(LAN). To take advantage of the additional cod-ing gain offered by the trellis-coded modulation(TCM) coding without using a maximum likeli-hood sequence estimation (MLSE) decoder, a deci-sion feedback sequence estimate[1](DFSE) decodercan be used[2-6]. Like the decision feedback equalizer …     

Price-based power control algorithm in cognitive radio networks based on monotone optimization

This paper considers a price-based power control problem in the cognitive radio networks(CRNs).The primary user(PU) can admit secondary users(SUs) to access if their interference powers are all under the interference power constraint. In order to access the spectrum, the SUs need to pay for their interference power.The PU first decides the price for each SU to maximize its revenue. Then, each SU controls its transmit power to maximize its revenue based on a non-cooperative game. The interaction between the PU and the SUs is modeled as a Stackelberg game. Using the backward induction, a revenue function of the PU is expressed as a non-convex function of the transmit power of the SUs. To find the optimal price for the PU, we rewrite the revenue maximization problem of the PU as a monotone optimization by variable substitution. Based on the monotone optimization, a novel price-based power control algorithm is proposed. Simulation results show the convergence and the effectiveness of the proposed algorithm compared to the non-uniform pricing algorithm.     

Hardware architecture design of block-matching and 3D-filtering denoising algorithm

Block-matching and 3D-filtering(BM3D) is a state of the art denoising algorithm for image/video,which takes full advantages of the spatial correlation and the temporal correlation of the video. The algorithm performance comes at the price of more similar blocks finding and filtering which bring high computation and memory access. Area, memory bandwidth and computation are the major bottlenecks to design a feasible architecture because of large frame size and search range. In this paper, we introduce a novel structure to increase data reuse rate and reduce the internal static-random-access-memory(SRAM) memory. Our target is to design a phase alternating line(PAL) or real-time processing chip of BM3 D. We propose an application specific integrated circuit(ASIC) architecture of BM3 D for a 720 × 576 BT656 PAL format. The feature of the chip is with 100 MHz system frequency and a 166-MHz 32-bit double data rate(DDR). When noise is σ = 25, we successfully realize real-time denoising and achieve about 10 d B peak signal to noise ratio(PSNR) advance just by one iteration of the BM3 D algorithm.     

永磁直线同步电机扰动观测器仿真研究

永磁直线同步电机驱动系统没有机械阻尼、抗扰动性能差,为了抑制参数及负载变化对控制系统的影响,提高系统的跟踪精度,利用受控系统的反动态方程式来设计扰动观测器.将扰动观测器所产生的推力,前馈给比例-积分位置控制器增加系统的动态响应,采用了扰动观测器和比例-积分位置控制器构建了控制系统.通过仿真与没有扰动观测器的比例-积分位置控制相比较,结果表明,该控制方法抑制外部扰动效果好,有效地提高了系统控制性能的响应.     

Design and implementation of a data-driven dynamical reconfigurable cell array

The nature of dataflow computation demands the heavy flow of tokens amongst computation nodes. Traditional reduced instruction-set computer (RISC) processors are not suitable for such style computation. Devices that use long wire buses are not suitable for dataflow either. Reconfigurable computing devices (RCDs) consist of data transfer wires and computing resources. With minor modifications, reconfigurable cells can be adopted to perform dataflow computation. A reconfigurable cell array (RCA) is presented in this paper and it is suitable for dataflow computation. This cell array has a dynamic reconfigurable storage model. The distinctive features of the architecture include dataflow reconfigurable cells and reconfigurable storage. Dataflow applications can be mapped easily and effectively onto the cells. Reconfigurable storage is mainly used to manage data access and transmission. Furthermore, computation and data management are separated. Meanwhile, dynamical reconfiguration is accomplished, when some clusters of cells work in configuration mode and other clusters work in computation mode. The dataflow graphs of some algorithms are mapped onto our architecture, and the performance results are compared with those of CPU and GPU.     

Two States CBR Modeling of Data Source in Dynamic Traffic Monitoring Sensor Networks

Real traffic information was analyzed in the statistical characteristics and approximated as a Gaussian time series. A data source model, called two states constant bit rate (TSCBR), was proposed in dynamic traffic monitoring sensor networks. Analysis of autocorrelation of the models shows that the proposed TSCBR model matches with the statistical characteristics of real data source closely. To further verify the validity of the TSCBR data source model, the performance metrics of power consumption and network lifetime was studied in the evaluation of sensor media access control (SMAC) algorithm. The simulation results show that compared with traditional data source models, TSCBR model can significantly improve accuracy of the algorithm evaluation.     

复合噪声图像去噪

在现实的图像处理中,图像往往含有加法均匀或者高斯分布噪声的干扰.如果只使用邻域平均法或中值滤波法都不能很好的对图像进行去噪.提出了一种复合型去噪法.该算法首先利用分离像素法把不同噪声污染的像素区别开来,然后分别再用中值滤波或邻域平均法去噪.实验结果表明,此方法具有很强的可信度.     

单相SAPF系统谐波电压检测与控制的仿真

为了改善用户侧电压质量与谐波问题,通过分析单相串联型有源电力滤波器（SAPF）的结构、原理及特点,提出了单相SAPF系统谐波检测的方法;同时借鉴单相SVPWM技术原理,将开关模式优化的SVPWM技术应用于单相SAPF系统中,提高了系统波形控制精度;利用Matlab软件,建立了基于上述谐波检测和系统波形控制的单相SAPF系统的仿真模型,并利用该模型对动态电压跌落与闪变等电压故障状态进行了动态补偿的仿真.仿真结果显示：本文提出的SAPF滤波系统不但具有良好的滤波性能,而且可以保障负载不受系统电压故障的影响,具有良好的工程应用前景.     

基于分布式WebChart的船舶导航系统

为了提高目前WebChart信息传输与交互的效率,分析了WebChart作为船舶导航系统需要解决的海图数据网络传输、实时获取本地导航设备数据、客户端之间信息交互等问题,提出并构建了一种基于分布式WebChart的船舶导航系统。该系统采用数字签名和Java本机接口方法解决了WebChart对本地资源的访问,实现了通过客户端串口对本地传感器信息的读取,并且系统采用了分布式体系结构,船舶用户不仅可以通过网络浏览器浏览海图数据,而且可以在海图平台上相互可见和交互,从而使船舶用户能够方便地通过网络实时、准确地分析和了解其周围的动静态航行环境,获取全面的导航服务。     

基于小波和Kalman滤波的交叉口流量组合预测

为更准确地预测动态变化的道路交叉口流量，根据城市道路流量分布的特点，提出了在小波分析和离散Kalman滤波的基础上进行组合预测的方法．这种方法将路口的流量数据构造成几个相关序列，对每个序列分别进行小波变换和Kalman预测，然后将各序列的预测值组合成最终结果．这种预测方法可用于其他动态流量预测，如路段流量预测、路口流量分配预测等．实验表明，该方法可以有效地减少预测误差，并具有较好的鲁棒性。     

基于小波和Kalman滤波的交叉口流量组合预测

为更准确地预测动态变化的道路交叉口流量,根据城市道路流量分布的特点,提出了在小波分析和离散 Kalman滤波的基础上进行组合预测的方法.这种方法将路口的流量数据构造成几个相关序列,对每个序列分别 进行小波变换和Kalman预测,然后将各序列的预测值组合成最终结果.这种预测方法可用于其他动态流量预 测,如路段流量预测、路口流量分配预测等.实验表明,该方法可以有效地减少预测误差,并具有较好的鲁棒性.