室内MIMO可见光通信的接收特性

建立了一种基于MIMO的室内二次反射可见光通信的信道模型。通过模型仿真,从不同位置处接收面上探测器的不同间距、不同面积以及接收面横向、纵向旋转方面,分析了室内MIMO可见光通信的接收特性。仿真结果表明,在满足信号可恢复的条件下,接收面探测器间距d的变化对光信号接收的影响很小,不同接收位置的接收信噪比(SNR)也呈现不同的分布。另外,接收面横向旋转不会影响光信号接收,而纵向旋转具有一定的限制范围。     

A multiserver retrial queue: regenerative stability analysis

We consider a multiserver retrial GI/G/m queue with renewal input of primary customers, interarrival time τ with rate , service time S, and exponential retrial times of customers blocked in the orbit. In the model, an arriving primary customer enters the system and gets a service immediately if there is an empty server, otherwise (if all m servers are busy) he joins the orbit and attempts to enter the system after an exponentially distributed time. Exploiting the regenerative structure of the (non-Markovian) stochastic process representing the total number of customers in the system (in service and in orbit), we determine stability conditions of the system and some of its variations. More precisely, we consider a discrete-time process embedded at the input instants and prove that if and , then the regeneration period is aperiodic with a finite mean. Consequently, this queue has a stationary distribution under the same conditions as a standard multiserver queue GI/G/m with infinite buffer. To establish this result, we apply a renewal technique and a characterization of the limiting behavior of the forward renewal time in the (renewal) process of regenerations. The key step in the proof is to show that the service discipline is asymptotically work-conserving as the orbit size increases. Included are extensions of this stability analysis to continuous-time processes, a retrial system with impatient customers, a system with a general retrial rate, and a system with finite buffer for waiting primary customers. We also consider the regenerative structure of a multi-dimensional Markov process describing the system. This work is supported by Russian Foundation for Basic Research under grants 04-07-90115 and 07-07-00088.     

T-Y tube model of human ascending aortic input impedance

Arterialimpedancehasitsparticularsignificancebecauseitdescribesthephysicalandgeometricalcharactersofthewholearterialsystem.Moreover.itisagoodmeasureoftheleftventricleafterload.Numerousexperimentalandtheoreticalresearchesha\'ebeendoneinthisarea.Itisshownth…     

人体体循环输入阻抗的T-Y型管模型*

本文提出了模拟人体体循环输入阻抗的T－Y型管模型,它是O'Rourke[1]提出的,柳兆荣等[2]发展的非对称T型管模型的改进和推广.我们在非对称T型管基础上加添了代表人体两条腿的倒Y字型分叉管,从而形成了T－Y型模型,同时将模型中所有分支管都处理成具有纵向约束的粘弹性管,上肢终端小动脉床采用弹性腔模型,下肢终端小动脉床则采用传统的纯阻力形式.选取了适当参数值后,计算了正常生理情形下和高血压病理情形下的人体体循环的输入阻抗.结果显示理论模拟值和实测结果无论是生理情形或是病理情形都有良好的符合程度.T－Y型管模型比非对称T型管模型更接近人体体循环的生理结构.同时又比过份复杂的多重分叉管模型简单明了得多,因此在考察各种参数对升主动脉输入阴抗的影响.研究心室和血管的耦合机制中将是一个有实用价值的模型.     

矩形板结构损伤的分区域神经网络识别方法

通过引入LM优化算法,针对矩形薄板中对称结构的损伤识别问题,提 出了一种基于神经网络的分区域分步识别方法. 对于预测输出量比较多且对预测精度要求比 较高的问题,常会出现网络训练时收敛速度慢、网络预测精度低,并且当网络训练达到目标 误差时,输出的预测量中常有某个输出量的误差还很大的情况. 针对这些问题,利用选 取的组合输入参数,提出了基于神经网络的分区域识别方法. 通过对悬臂板结构的数值模拟 结果表明：提出的分区域识别方法对结构损伤的分区和预测是可行和有效的, 其预测精度要明显的高于只用单个网络的预测结果,并且预测子网络对损伤的位置和程度是 同步输出的,从而避免了传统分步识别理论中子网络过多的问题.     

考虑端面反射率的半导体光放大器增益特性研究

在考虑到端面反射率影响的前提下,从SOA载流子的速率方程和耦合波方程出发,建立了基于SOA的交叉增益调制波长变换理论模型,利用分段模型方法对影响增益特性的几个参数进行了数值模拟。结果发现,注入电流和有源区面积对SOA增益的影响有一个阈值,在阈值范围内,SOA增益的大小随着注入电流和有源区面积的增大而明显的增大,但是超过阈值时,则SOA增益趋向饱和。     

随机环境中分枝q-过程

引进了机环境中一致马氏过程,随机分枝q-矩阵和随机环境中分枝q-过程.给了随机环境中分枝q-过程存在性和唯一性的充分条件.最后证明了任意随机分枝转移密度矩阵都是零流入的.     

Dynamics of a two-species Lotka-Volterra competition system in a polluted environment with pulse toxicant input

In most models of population dynamics in a polluted environment, the emission of toxicant is generally considered to be continuous, but it is often the case that toxicant is emitted in regular pulses. This paper deals with the effects of pulse toxicant input with constant rate on two-species Lotka-Volterra competition system in a polluted environment. The thresholds between persistence and extinction of each population are obtained. Moreover, our results indicate that the release amount of toxicant and the pulse period will affect the fate of each population. Finally, the results are verified through computer simulations.     

福建省科技投入强度的预测预警研究

本文在分析福建省历年R＆D强度及特征的基础上．构建了R＆D强度的灰色预测模型和增长型曲线外推模型,并利用它们构建了组合预测模型,同时以全国平均水平为依据构建了预警系统,得到2008—2010年的R＆D强度预测值分别为1．0321％、1．1186％、1．2115％,预警结果3年都是巨警。结果表明,福建省的R＆D强度在2010年达不到1．7％的水平,这与福建省“十一五”R＆D投入强度的既定目标相去甚远。随后,文章提出了福建省实现“十一五”科技投入强度目标的条件要求,为政府制订和调整科技投入政策提供参考。