MPEG和Dolby AC-3音频码流分析软件的设计与实现

基于ISO／IEC11172-3和ATSCA／52标准,开发了数字音频流分析软件,实现了MPEG-1各层和Dolby AC-3这2类数字音频流的分析。阐述了设计和实验中遇到的一些问题及其解决方法,着重讲述了CRC原理和对2类流的不同实现方法。该软件对研究数字音频编码、检验音频流的正确性有一定的实用价值。     

捷联惯性测量组合的冗余设计和优化

讨论了捷联惯性测量组合冗余设计方案,并引入性能指标函数、系统有效度约束、系统代价函数,对冗余配置的优化问题进行了研究,寻求最优配置和优化准则.最后以5个单自由度陀螺为例,实现冗余优化配置.     

WCDMA容灾备份方案研究

容灾是指当意外灾难发生时系统的应对和恢复能力。本文简要介绍了容灾的定义和等级,详细阐述了核心网部分、智能网部分和彩铃部分的各种容灾备份方案,对于WCDMA网络的建设具有指导意义。     

伪准确计算的高故障容忍度冗余电路实现

本文提出了伪准确计算的概念。集成电路规模的扩大和制造工艺中不断增加的缺陷给大规模集成电路的测试和验证带来巨大的压力。针对故障容忍度（Fault Tolerance,FT）的研究是缓解测试和验证压力的有效方向。传统的错误容忍度的研究和相关的电路设计主要通过冗余的可替换电路实现无错误电路（有时只针对特定目标程序）。本文通过重新定义“准确”,提出了伪准确定义的概念,并通过创新的冗余电路结构实现。示例电路为冗余伪准确反相器。本文通过伪准确反相器与三模冗余（triple-modular redundancy TMR）和双备用（two spares）等FT技术的比较,给出伪准确计算的实现原理、误差积累分析。示例电路的仿真和分析表明伪准确计算在缩减测试成本和提高系统可靠性方面有潜在的价值。     

Robust energy-aware routing with redundancy elimination

Many studies in literature have shown that energy-aware routing (EAR) can significantly reduce energy consumption for backbone networks. Also, as an arising concern in networking research area, the protocol-independent traffic redundancy elimination (RE) technique helps to reduce (a.k.a compress) traffic load on backbone network. Motivation from a formulation perspective, we first present an extended model of the classical multi-commodity flow problem with compressible flows. Moreover, our model is robust with fluctuation of traffic demand and compression rate. In details, we allow any set of a predefined size of traffic flows to deviate simultaneously from their nominal volumes or compression rates. As an applicable example, we use this model to combine redundancy elimination and energy-aware routing to increase energy efficiency for a backbone network. Using this extra knowledge on the dynamics of the traffic pattern, we are able to significantly increase energy efficiency for the network. We formally define the problem and model it as a Mixed Integer Linear Program (MILP). We then propose an efficient heuristic algorithm that is suitable for large networks. Simulation results with real traffic traces on Abilene, Geant and Germany50 networks show that our approach allows for 16–28% extra energy savings with respect to the classical EAR model.     

基于信息熵抑制的大数据特征隐匿性加密仿真

针对传统大数据特征加密方法中大数据精度较差、加密耗时较长的问题,提出基于信息熵抑制的大数据特征隐匿性加密方法。分析信息熵抑制相关理论,采用信息熵映射函数对大数据分类,将信息熵抑制过程转化为计算2个文件相似性的过程,并根据余弦相似度公式以及Hamming距离值计算数据相似度,完成数据消冗。在完成数据消冗的基础上,分析分组密码方法和ECC加密方法,结合两种方法得到大数据特征隐匿性加密处理计算公式,实现基于信息熵抑制的大数据特征隐匿性加密。实验研究结果表明,所提方法能够有效去除冗余数据,提升大数据精度,加快数据加密的处理速度,高效完成大数据加密过程。     

广播电视播控中心UPS系统可靠性提升与实现

广东广播电视台通过采用串联热备份方式对单机UPS系统增加冗余提高可靠性,在系统设置和现场测试通过后,热备份UPS顺利地接入在线运行的配电系统,并且提供扩建的缩编、上载机房的负荷用电,克服串联热备份UPS空载运行导致电池组无法放电影响寿命的缺点,最终,不仅实现了播出配电系统可靠性升级,也充分发挥了热备份UPS的用途。     

复杂系统可靠性冗余优化的量子粒子群算法研究

由于复杂系统可靠性函数常常具有非线性的特点，因此如何确定复杂系统各单元冗余数，设计既满足可靠度要求、又使系统成本最小是冗余优化问题中的难点。针对复杂系统的特点，提出了基于量子粒子群算法的求解方法。根据数学模型，详细探讨了量子粒子群算法在系统的可靠性优化计算中应用的可行性，并给出了基于粒子群算法的可靠性的求解策略，同时对桥式系统的可靠性优化设计问题进行分析计算。仿真表明，该算法具有较强的局部搜索能力，与其他方法相比，该算法有较高的搜索效率，能够找到更优的解。最后验证了该算法在复杂系统可靠性优化中的可行性和有效性。     

并联机构的奇异与冗余

分析并联机构的奇异位形对机构精度、刚度的影响 ,提出了采用机构冗余来减小和消除奇异位形的影响的方法 ,并分析几种冗余的方法及其效果。     

On the assessment of robustness

A framework for assessing robustness is proposed, taking basis in decision analysis theory. Robustness is assessed by computing both direct risk, which is associated with the direct consequences of potential damages to the system, and indirect risk, which corresponds to the increased risk of a damaged system. Indirect risk can be interpreted as risk from consequences disproportionate to the cause of the damage, and so the robustness of a system is indicated by the contribution of these indirect risks to total risk. A framework is presented for measuring robustness in this way, and implications for system modelling and acceptable levels of robustness are discussed. Numerical studies of idealized structural systems are performed using this framework, to demonstrate the use of the proposed robustness index and provide insight into system properties affecting robustness. Considered exposures include the design live load and an extraordinary exposure representing a fire or explosion that causes the loss of one or more system components. The results indicate that properties affecting system reliability, such as number of components or the stochastic properties of the load, also affect robustness. Perhaps more interestingly, it is seen that properties such as failure consequences and time to repair a damaged system also affect this measure of robustness. The assessment framework is applied here to study damage tolerance, but the procedure can be applied as well to other aspects of robustness such as tolerance to human error in design or construction.