基于与异或非图的混合粒度可重构密码运算单元设计

粗粒度可重构密码逻辑阵列(CGRCA)难以兼容细粒度序列密码算法,且在编码环节功能单元容易出现竞争冲突,进而导致阵列的资源利用率低和延迟大等问题。为此,利用与-异或-非图(AXIG)双逻辑表达的优势,该文提出一种混合粒度的可重构的多功能密码运算单元,并在晶体管级进行了实现验证,可兼容现有序列密码算法中非线性布尔函数,在延迟和面积-延迟积(ADP)方面均有提升。设计了可重构与、异或、与非(RAXN)逻辑元件,可同时重构“And, Xor, Nand”等逻辑功能,并提出了RAXN的晶体管级实现方法和版图结构;提出了基于RAXN的功能扩展方法,实现了全加器功能、与/异或3输入逻辑功能以及乘法部分积生成功能,并作为基本功能单元(RAXN_U);结合动态配置和动态调度的思想,利用阵列中互联资源和RAXN_U,设计一种可同时实现32 bit加法、8 bit乘法、CF(2⁸)有限域乘法,以及包括S盒在内的复杂非线性布尔函数的混合粒度多功能密码运算单元(RHMCA)。在CMOS 40 nm工艺进行后端定制化设计,实验结果表明,该文提出的多功能单元较传统的实现方法,延迟最好情况优化1.27 ns,面积-延迟积(ADP)值最大提升44.8%。     

航空发动机传感器故障诊断与自适应重构控制

针对航空发动机控制系统中最易发生故障的传感器,提出了基于状态观测器的故障诊断与自适应重构控制方法.设计了多个状态观测器用于传感器的状态估计,采用阈值判别法对传感器进行实时故障监视与诊断,并用正常传感器测量值的加权均值代替故障传感器测量值反馈回闭环系统,实现了对发动机闭环系统的自适应重构控制.数字仿真结果表明,该方法能及时准确地定位故障,并进行有效的自适应重构控制,将其应用于航空发动机的故障诊断与自适应重构控制是可行、有效的.     

配电网故障快速恢复方法

针对快速实现配电网故障恢复的问题,对智能配电网的故障、网络重构及故障恢复进行了分析。通过建立包含约束条件的配电网故障快速恢复数学模型,对网络拓扑搜索进行了研究。利用网络拓扑搜索与故障信息矩阵相结合的方法,解决了配电网故障定位问题。并就常见的35 kV永久配电故障,给出了35 kV电源故障快速恢复方案,针对解决方法进行了实际案例分析,验证了所提出方案的可靠性及有效性。     

基于FPGA的动态可重构系统实现

介绍了Xilinx公司VirtexTMFPGA芯片的配置原理,采用模块化设计实现FPGA的动态部分重构,并设计出CPU加CPLD配置FPGA的硬件方案来实现可重构系统.FPGA采用Select MAP配置方式,实现配置逻辑的快速重构和动态部分重构.同时给出了可重构系统配置的软件流程,并计算出相应的重构时间.     

可重构技术在相位式测距系统中的应用

介绍了基于可重构技术的某测距系统的设计方案，简要分析了相位式测距的原理，研究了可重构FPGA在系统中的应用方法。     

一种改进信道化结构的宽带信号重构方法

数字信道化技术广泛用于宽带信号处理领域,传统的信道化结构由于信道数和抽取(内插)数相等,相邻信道存在混叠问题,对于跨信道信号接收、重构存在很大程度失真。提出一种改进的信道化结构,推导了相应的多相滤波高效算法,最后通过Matlab仿真验证该算法具有很好的改进效果。     

Controlling angular oscillations through mass reconfiguration: a variable length pendulum case

The control of angular oscillations or energy of a system through mass reconfiguration is examined using a variable length pendulum. Control is accomplished by sliding the end mass towards and away from the pivot as the pendulum oscillates. The resulting attenuation or amplification of the angular oscillations are explained using the Coriolis inertia force and by examining the energy variation during an oscillation cycle. Simple rules relating the sliding motion to the angular oscillations are proposed and assessed using numerical simulations. An equivalent viscous damping ratio is introduced to quantify the attenuation/amplification phenomena. Sliding motion profiles for achieving attenuation have been simulated with the results being discussed in detail.     

认知无线网络架构与关键技术研究

认知无线网络是一种开放性的智能网络,通过网络环境的学习分析,对网络状态进行规划、决策和响应。认知无线网络使网络从静态工作模式发展到动态自适应工作模式,从单一封闭式网络发展到异构融合网络,是解决网络容量受限,实现频谱高效利用和异构网络融合的有效途径之一。认知无线网络的相关研究在国家973项目的支持和项目组各单位的共同努力下取得了长远发展,主要讨论认知无线网络架构的理论模型、实现功能以及部署实现,然后分析了支撑架构的关键技术研究,主要包括多域主动认知方法、自主资源决策管理、无线自主传输机制以及体系结构适变技术等。     

Planning of Transport Networks based on Photonic and Electronic Cross-Connection

This paper deals with the problem of dynamic allocation of bandwidth in a hierarchical transport platform comprised of both broadband (optical) and wideband (ATM) crossconnects. The crossconnect platforms will react to fluctuations of traffic on different time scales. The model developed in this paper will take advantage of both multi-service and multi-hour character of traffic profiles and includes off-line and on-line algorithms. The off-line model will generate the configuration of optical bearers and the routing of origin-destination paths in the network for each time interval. The on-line algorithms will adjust the capacity allocated to each path in accordance with the short-term fluctuations of demand to decrease blocking probability and maximize resource utilization. We formulate the problem of designing a minimum cost network for a multi-hour, multi-service traffic profile where the cost is a piecewise linear function of the maximum possible number of optical paths as well as a linear function of the number of ports and of the traffic flow through tandem nodes. The model is a large-scale mixed integer program. Further, we provide a second model to carry out the fine tuning necessary to cater for traffic fluctuations. The alternative versions of the second model are given, including a goal program that optimally matches the network capacity to the varying traffic requirements.     

Formation reconfiguration in restricted three body problem

Reconfiguration of formation flying around a halo orbit of the Sun-Earth restricted three body system is investigated with impulse maneuvers. For a short time reconfiguration, the two-impulse maneuver is investigated with both analytical and numerical methods and the Beginning–Ending (BE) method is proven to be an energy-optimal one of all two-impulse (TI) reconfigurations, and the energy consumption of BE is independent of the position of the chief spacecraft, and decreases with the reconfiguration time. Then, genetic algorithm is adopted to optimize the energy consumption. The results show that the optimal energy increases with radius difference between the initial and final orbits, and decreases with the reconfiguration time. The project supported by the National Natural Science Foundation of China (10672084 and 10672084) and The Special Science Foundation of the Doctoral Discipline of the Minstry of Education of China (20060003097).