高压电气设备支架串联体系地震响应半解析法

通过论述高压电气设备支架串联体系地震响应半解析法的运算过程,说明地震响应半解析法对于电力系统防震工作的帮助。     

微机防误闭锁技术的发展与方向

介绍变电站的防误闭锁技术发展过程,结合工作经验,分析其实际运行中存在的问题,并提出变电站防误闭锁的发展方向。     

小世界网络中的删边扩容效应

不同于无标度网络,小世界网络中体现负载特性的介数分布和体现连接特征的度分布这两种结构差异很大,依据这个差异,我们提出了有效的删边扩容方法并进行了仿真实验,并进一步从容量与最大介数的关系理论分析确证了实验结果.接着,我们分析了小世界网络中介数分布的差异性与删边扩容效果的相关性,把基于介数的基尼系数变化用于度量删边扩容的效果,指出了结构差异是导致删边扩容效应的必要条件.还指出了无论从容量与介数的定义、仿真结果、结构差异与删边扩容效果的关系来看,都应该从介数入手来实现删边扩容方法,这种方法反直觉,有很多变种,并且实现方便、节省成本,作为一类新的路由策略可以广泛地应用于各类通信网络和交通网络等领域.     

车载网中一种基于链路稳定度的路由方法

车载自组织网络VANET(vehicular ad hoc network)由于车辆高速移动性、分布不均匀、运动行为受交通环境限制等因素的影响,使得VANET具有网络拓扑结构变化频繁、传输信号受干扰大、网络易于断裂等固有特性。路由选择是VANET的重要组成部分。如何选择下一跳节点是实现路由方法的关键,链路稳定度是衡量VANET性能的重要因素。本文通过计算预期路径的链路稳定度来选择下一跳节点,提出一种基于链路稳定度的路由方法。实验结果表明与传统的AODV相比,本文提出的方法在端到端延时,数据包的传递率等方面有较大的提高。     

Negative effects of sufficiently small initial weights on back-propagation neural networks

In the training of feedforward neural networks,it is usually suggested that the initial weights should be small in magnitude in order to prevent premature saturation.The aim of this paper is to point out the other side of the story:In some cases,the gradient of the error functions is zero not only for infinitely large weights but also for zero weights.Slow convergence in the beginning of the training procedure is often the result of sufficiently small initial weights.Therefore,we suggest that,in these cases,the initial values of the weights should be neither too large,nor too small.For instance,a typical range of choices of the initial weights might be something like(0.4,0.1) ∪(0.1,0.4),rather than(0.1,0.1) as suggested by the usual strategy.Our theory that medium size weights should be used has also been extended to a few commonly used transfer functions and error functions.Numerical experiments are carried out to support our theoretical findings.     

Uniform modeling of parameter dependent nonlinear systems

This paper addresses the problem of approximating parameter dependent nonlinear systems in a unified framework. This modeling has been presented for the first time in the form of parameter dependent piecewise affine systems. In this model, the matrices and vectors defining piecewise affine systems are affine functions of parameters. Modeling of the system is done based on distinct spaces of state and parameter, and the operating regions are partitioned into the sections that we call ’multiplied simplices’. It is proven that this method of partitioning leads to less complexity of the approximated model compared with the few existing methods for modeling of parameter dependent nonlinear systems. It is also proven that the approximation is continuous for continuous functions and can be arbitrarily close to the original one. Next, the approximation error is calculated for a special class of parameter dependent nonlinear systems. For this class of systems, by solving an optimization problem, the operating regions can be partitioned into the minimum number of hyper-rectangles such that the modeling error does not exceed a specified value. This modeling method can be the first step towards analyzing the parameter dependent nonlinear systems with a uniform method.     

基于灰度共生矩阵的图像纹理特征提取分析

图像纹理作为一种重要的视觉手段,是图像中普遍存在而又难以描述的特征。目前常用的纹理特征提取的方法主要有统计方法、模型方法、信号处理方法和结构方法。灰度共生矩阵即为灰度级的空间相关矩阵,以其为基础的统计方法通过对矩阵统计量的求取较好地提取到了纹理特征,通过选取关键参数编程并进行仿真实现,分别求取了四个方向的灰度共生矩阵及其特征量来分析图像的纹理特征。     

储能设备获最大功率的改进型光伏充电系统设计

针对光伏充电系统中能量利用率不高的问题,给出了改进型光伏充电系统的硬件及软件系统的设计方法。该系统基于低功耗单片机MSP430F1611,利用扰动观察法,通过控制数字电位器来间接调节MPPT变换器的输出电压,从而光伏电池功率与MPPT变换器效率在比值最优的情况下,可使得储能设备获得最大功率。经过仿真验证,该方法可以达到预期的效果,储能设备在同等条件下能获得更多的电能。