边疆地区政治社会化有效性思考

边疆地区有其独特的历史文化等传统,有着复杂的自然条件和环境,特殊的地理位置,边疆地区的政治社会化程度直接影响到主导型政治文化的实现,影响到该地区的稳定和发展,关系到边防的巩固和国家的统一。该地区的政治社会化要在重点对象确定的前提下,既要注重发挥其主要途径的作用、又要注重其内容的针对性和时效性、更要注意较大地区差距的负面影响并努力将其缩小,才能使边疆地区政治社会化有较好的效果。     

姿控发动机高空羽流流场DSMC仿真及算法研究

本文分析了高空羽流流场的特性，论述了ＤＳＭＣ方法的原理以及涉及到的关键技术，应用ＤＳＭＣ方法数值求解了喷管出口附近及倒流区流场。仿真结果表明ＤＳＭＣ方法能够精确描述这一区域的流场特性。     

稳定正规环分解定理

提出了稳定正规环的概念；推广了正规环的分解定理；给出了正则局部环整性的一个简单证明；指出了研究正则环的一条新途径。     

一种新的高分辨率SAR图像目标自动鉴别方法

目标鉴别是SAR图像目标识别系统的关键环节,用以消除预筛选阶段因异常检测产生的大量虚假的感兴趣区域切片。针对目标鉴别问题,提出了一种新的目标自动鉴别方法,首先对CFAR检测的结果做基于面积特征的预鉴别处理,而后对获得的ROI目标切片提取鉴别特征,并在特征分析的基础上设定特征判决阈值,实现序贯鉴别处理。利用X波段SAR图像数据检验了上述方法,给出了鉴别输出的ROI切片。     

多源信息的验前分布融合方法研究

验前分布的获取和表示是B ayes理论应用中的一个关键问题。针对目前多源验前信息融合中存在的过分依赖专家信息的问题,提出了一种基于第2类极大似然估计原理(M L-II)确定验前分布权重的方法,该方法将现场试验数据看作是由其边缘分布产生的样本,然后根据不同验前分布下现场样本似然性的大小来确定其在验前分布融合中的作用,并以此进一步确定不同验前分布的权重因子。最后通过算例证明了该方法比基于专家信息的融合方法更为合理和有效。     

Double Mover–Stayer model on customer switching in telecommunications industry

Customer acquisition and customer retention are the most important challenges in the increasingly competitive telecommunications industry. Traditional studies of customer switching always assume that customers are homogeneous, and thus that model customer switching behavior follows a Markov formulation. However, this postulation is obviously inappropriate in most instances. Blumen et al. (Cornell Studies of Industrial and Labor Relations, Cornell University Press, Ithaca, NY, 1955) developed the Mover–Stayer (MS) model, a generalization of the Markov chain model, to relax the requirement of homogeneity and allow the presence of heterogeneity with two different types of individuals—“stayers,” who purchase the same kinds of products or services throughout the entire observation period; and “movers,” who look for variety in products or services over time. There are two purpose of this article. First, we extend the MS model to a Double Mover‐Stayer (DMS) model by assuming the existence of three types of individuals in the market: (1) stable and loyal customers, who have stable usage within the same company; (2) instable but loyal customers, whose usage varies within the same company over time; and (3) disloyal customers, who switch from one company to another to seek for new experiences or/and benefits. We also propose an estimation method for the DMS model. Second, we apply the DMS model to telecommunications data and demonstrate how it can be used for pattern identification, hidden knowledge discovery, and decision making. © 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2012     

最大生存概率下的编队防空目标分配研究

为研究编队目标武器分配方法,分析了编队防空体系在作战过程中武器系统火力单元状态、分配决策矩阵和目标序列状态的动态更新形式,建立了以编队生存概率最大为最优函数的动态目标分配优化模型。描述了仿真环境,运用不确定目标序列对分配过程进行了仿真。结果表明,所建立的模型能够反映实际情况,得到的关于集火、转火射击和优先分配策略对模型的工程应用具有实际指导意义。     

一种差分空时分组码及其性能分析

文中介绍了一种差分空时分组码的编译方法及其性能分析,与之对比,先导入单天线时差分调制的概念及其方法,理论分析表明,采用无需信道估值的差分空时分组码与相干检测空时分组码相比其性能差3 dB,但与单天线相比仍有接近于10 dB的分集增益。     

基于一类T-模的模糊双向联想记忆网络的稳定性分析

首先定义了max-T复合模糊算子,建立了一类基于模糊复合算子的模糊联想记忆网络——模糊双向联想记忆,然后系统地分析了该网络的性质,在Hamming距离意义下证明了该网络的平衡点（吸引子）具有Lyapunov稳定性。     

A new importance sampling Monte Carlo method for a flow network reliability problem

The exact evaluation of the probability that the maximum st‐flow is greater than or equal to a fixed demand in a stochastic flow network is an NP‐hard problem. This limitation leads one to consider Monte Carlo alternatives. In this paper, we propose a new importance sampling Monte Carlo method. It is based on a recursive use of the state space decomposition methodology of Doulliez and Jamoulle during the simulation process. We show theoretically that the resulting estimator belongs to the variance‐reduction family and we give an upper bound on its variance. As shown by experimental tests, the new sampling principle offers, in many cases, substantial speedups with respect to a previous importance sampling based on the same decomposition procedure and its best performances are obtained when highly reliable networks are analyzed. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 204–228, 2002; DOI 10.1002/nav.10004