光纤扭转对循环延迟线偏振控制系统特性影响的研究

借助模式耦合理论和矩阵光学的知识,对引入光纤扭转机构后的延迟线偏振控制系统的偏振转换特性进行了分析,推导出了描述该系统偏振特性的琼斯矩阵,得到了光纤扭转对系统偏振特性影响的理论模型。     

一类非线性时滞微分方程的振动性

讨论了非线性时滞微分方程Ｈ（ｔ，ｘ（ｔ），ｘ（ｔ—ｒ）＋ｆ（ｔ，ｘ（ｔ—τ））—ｇ（ｘ（ｔ—σ））＝０的振动性，推广了有关文献的部分结果．     

连续时延神经网络的Hopf分岔现象研究

讨论了带连续时延神经网络的Hopf分岔现象。对于强核和弱核的情况,利用平均时延作为分岔参数,证明了模型经历了Hopf分岔过程。在带弱核的神经网络模型中,得到了分岔周期解稳定性准则。给出了一些数值例子,通过计算机仿真验证了所得结论的正确性。     

具有变系数的可分离变量系统的稳定性

通过构造李雅普诺夫函数研究了一类系数可以是无界的具有变系数的可分离变量系统的稳定性,以及带时滞系统的稳定性.并获得了一些简单的判据。     

交易延迟与机构投资者交易策略研究

对于机构投资者而言,出清具有一定规模的证券时,其提交指令的行为将对证券价格造成冲击形成交易成本,之后指令执行延迟也造成交易成本。文章以既定风险厌恶的机构投资者为研究对象,探讨其在交易延迟下的最优指令提交策略。经研究表明:交易延迟下最优指令提交策略受风险态度、证券收益、证券价格的波动性、市场的流动性与深度以及瞬时冲击程度等参数影响,不同市场的情况要求机构投资者调整策略,改变指令提交过程。     

延迟支付条件下易逝品的最优订货决策研究

本文在考虑延期支付的情况下构建了二级供应链关于易逝品的最优订货决策模型,其中供应链由单个供应商和多个面临资金约束的零售商组成。在不允许缺货的情况下,供应商为零售商提供延迟支付来缓解零售商的资金压力,同时零售商对产品的定价将随易逝品的价值变质而变化。本文利用遗传算法对模型进行了算例分析,同时对模型中的相关参数进行了敏感性分析。结果表明,延迟支付能够提高供应链总利润并降低风险,从而有利于供应链整体效益的提高。在延期支付条件下,供应链各成员获得的收益增量存在较大差距,其中供应商能够获得更多收益。最后,通过敏感性分析,我们还发现产量及易逝品保质期的变动会对供应链整体利润产生不同程度的影响。     

Increasing Vocal Variability in Children with Autism Using a Lag Schedule of Reinforcement

Variability has been demonstrated to be an operant dimension of behavior (Neuringer, 2002; Page & Neuringer, 1985). Recently, lag schedules have been used to demonstrate operant variability of verbal behavior in persons with a diagnosis of autism (e.g., Lee, McComas, & Jawor, 2002). The current study evaluated the effects of a Lag 1 schedule on the vocal variability of 2 nonverbal children with a diagnosis of autism. Results showed systematic increases in variability during the Lag 1 schedule. Implications of lag schedules for speech and language training are discussed.     

A diagnostic statistic for functional-coefficient autoregressive models

In this paper, functional coefficient autoregressive (FAR) models proposed by Chen and Tsay (1993) are considered. We propose a diagnostic statistic for FAR models constructed by comparing between parametric and nonparametric estimators of the functional form of the FAR models. We show asymptotic properties of our statistic mathematically and it can be applied to the estimation of the delay parameter and the specification of the functional form of FAR models.     

Throughput and delay analysis of an opportunistic tree algorithm

Tree algorithms are a well-known class of random access algorithms with a provable maximum stable throughput under the infinite population model (as opposed to ALOHA or the binary exponential backoff algorithm). In this article, we propose a tree algorithm for opportunistic spectrum usage in cognitive radio networks. A channel in such a network is shared among so-called primary and secondary users, where the secondary users are allowed to use the channel only if there is no primary user activity. The tree algorithm designed in this article can be used by the secondary users to share the channel capacity left by the primary users.

We analyze the maximum stable throughput and mean packet delay of the secondary users by developing a tree structured Quasi-Birth Death Markov chain under the assumption that the primary user activity can be modeled by means of a finite state Markov chain and that packets lengths follow a discrete phase-type distribution.

Numerical experiments provide insight on the effect of various system parameters and indicate that the proposed algorithm is able to make good use of the bandwidth left by the primary users.     

Surveillance of the interaction parameter of the ising model

Surveillance to detect changes of spatial patterns is of interest in many areas such as environmental control and regional analysis. Here the interaction parameter of the Ising model, is considered. A minimal sufficient statistic and its asymptotic distribution are used. It is demonstrated that the convergence to normal, distribution is rapid. The main result is that when the lattice is large, all approximations are better in several respects. It is shown that, for large lattice sizes, earlier results on surveillance of a normally distributed random variable can be used in cases of most interest. The expected delay of alarm at a fixed level of false alarm probability is examined for some examples.