Evaluating the Impact of Mine Groundwater on the Environment

Efficient monitoring of mine groundwater conducted with a standard methodology makes the evaluation of the influence of mine water on the environment easier. The paper examines problems of monitoring and proposes a groundwater monitoring system for existing and flooded abandoned mines. The final effect of mine waters monitoring enables ecochemical and economical evaluation. It also makes it possible to select and use the appropriate proecological technologies for mine waters.     

StratixII系列高性能FPGA及其配置方案

本文阐述了ALTERA公司新推出的StratixII系列高密度、高性能FPGA的体系构架、特点和性能,描述了该系列FPGA的配置方案。     

基于实时流媒体服务的多源应用层组播系统

针对矿区网络大容量视频信号传输,通过在现有网路中部署流媒体服务节点,构建基于实时流媒体服务的多源应用层组播系统,并提出一种基于度和延时约束的路由算法,进行组播树节点的管理和优化。该系统实现简单、路由健壮性高,与传统C/S模式视频监控系统相比,在同等网络状况和运行环境下,传输视频流的网络丢包率降低50%以上。     

基于蚁群算法的树环结构应用层组播树构建算法

作为对IP组播技术的改进,应用层组播(ALM)技术具有不受网络架构限制、资源丰富、数据传输速率高等优势。综合考虑节点性能和端到端延迟,提出一种快速且高效的建立应用层组播树的方法：基于蚁群算法的树环结构ALM模型(ACOTRM)。目前对ALM结构的研究大部分都是仅仅粗略地给出拓扑结构,而对整个构建过程却缺乏完整且清晰的描述。鉴于此,完整地给出了一种树环结构ALM树的具体构建过程,主要包括网络节点分簇、簇内成环连接、数据转发数的建立等关键步骤。另外,为每个节点设定特有的优先级,使得整个ALM树达到最优化状态。仿真结果表明,该模型得到了较低的平均时延以及较高的平均数据传输率,在增加系统稳定性的同时也提高了其转发效率。     

Multibody Dynamic Response Optimization with ALM and Approximate Line Search

This paper presents an efficient approach for dynamic responseoptimization based on the ALM method. In this approach, an approximateaugmented Lagrangian is employed for line searches while an exactaugmented Lagrangian is used for finding search directions. An importantfeature of this study is that the approximate augmented Lagrangian forline search is composed of the linearized cost and constraint functionsprojected on the search direction. The quality of this approximationshould be good since an approximate penalty term is found to have almostsecond-order accuracy near the optimum. Quasi-Newton and conjugategradient algorithms are used to find exact search directions and a goldensection method followed by a cubic polynomial approximation is employedfor line search. The numerical performance of the proposed approach isinvestigated by solving eight typical dynamic response optimizationproblems and comparing the results with those in the literature. Thiscomparison shows that the suggested approach is robust and efficient.     

A survey of FPGA design for AI era

FPGA is an appealing platform to accelerate DNN.We survey a range of FPGA chip designs for AI.For DSP module,one type of design is to support low-precision operation,such as 9-bit or 4-bit multiplication.The other type of design of DSP is to support floating point multiply-accumulates(MACs),which guarantee high-accuracy of DNN.For ALM(adaptive logic module)module,one type of design is to support low-precision MACs,three modifications of ALM includes extra carry chain,or 4-bit adder,or shadow multipliers which increase the density of on-chip MAC operation.The other enhancement of ALM or CLB(configurable logic block)is to support BNN(binarized neural network)which is ultra-reduced precision version of DNN.For memory modules which can store weights and activations of DNN,three types of memory are proposed which are embedded memory,in-package HBM(high bandwidth memory)and off-chip memory interfaces,such as DDR4/5.Other designs are new architecture and specialized AI engine.Xilinx ACAP in 7 nm is the first industry adaptive compute acceleration platform.Its AI engine can provide up to 8X silicon compute density.Intel AgileX in 10 nm works coherently with Intel own CPU,which increase computation performance,reduced overhead and latency.     

DVE architecture based on message category

By importing the idea of P2P,and transmitting messages among clients directly into the client-server architecture,a new hybrid architecture was presented with the help of AOI technology and message category.Theoretical analysis of this architecture was presented in detail.A series of simulation experiments was carried out to verify its effectiveness.Results indicate that the new architecture produces less server message workload than traditional architectures,which can improve the scalability of DVE systems.     

基于应用层组播的高清流媒体直播原型系统的实现和测试

将应用层组播技术应用在高清流媒体直播系统中,设计并实现了一个支持大并发、高性能、小延时的高清流媒体直播原型系统,同时创造性地提出了分布式时移技术并集成在系统中,使用户能随时收看直播或延时直播的节目。该系统在2006年夏世界杯期间在复旦大学校园网内进行了长达一个多月的大规模测试,最高在线人数460。测试数据表明该系统很好地解决了服务器出口带宽瓶颈以及普通P2P技术延时较长等缺点,为国家科技部重点项目高清电视的直播系统提供了一条可行的技术方案。     

基于区分应用的车轮结构分层ALM模型

基于区分应用提出具有层次车轮结构的应用层多播（ALM）模型,该模型在混乱情况下自愈性强、数据传输速度高。给出一种基于泛洪算法和区分应用的分层多播数据传输协议,根据不同应用使数据通过不同链路传输。依据网络状况变化动态优化系统拓扑结构。利用P2Psim在Linux下进行仿真实验,结果表明该模型可以提高ALM性能。     

基于节点性能的应用层多播模型

为降低多播组的维护开销、改善多播树的负载平衡,提出一种考虑节点优先级的方法,并将该方法应用于Zigzag协议。该协议采用分层分簇的思想,由簇首节点负责管理本簇而由父节点负责分发数据。因为考虑到节点的异构性,该协议使能力强的节点担当首节点与父节点以提高多播组性能。通过实验验证与理论推导得出,与Zigzag 协议相比,改进后的协议在新节点加入多播组时,开销大大减小,节点退出时开销也相应减小,而多播树的负载平衡也有所改善。