超宽带对卫星通信业务的干扰分析

针对超宽带（UWB,Ultra Wide Band）设备对窄带无线业务的干扰,通过对UWB空间分布进行投影和方位加权,提出一种新的三维投影干扰分析模型。该模型适于分析UWB设备对高增益、强方向性受扰设备干扰。在此模型基础上分析UWB对卫星通信业务的干扰,通过仿真得出了C波段卫星通信业务对UWB的使用限制。     

卫星高度计应用研究现状分析

文章介绍了卫星高度计的历史沿革,应用领域及发展概况。     

卫星探测舰船能力仿真研究

针对多颗卫星联合对舰船目标观测活动中的探测能力问题,研究对其量化描述方式并进行仿真。综合运用运动仿真、概率论、连续马尔科夫链和蒙特卡罗法等方法对卫星探测舰船活动各阶段建立相应的模型,并结合数学函数提出多星联合探测能力量化指标。以某作战想定为背景,进行了仿真计算,得出结论。仿真结果表明该模型能够解决多星联合观测舰船目标问题,并且该研究成果对航天装备效能评估和装备体系发展规划论证具有一定的指导意义。     

基于贝叶斯网络的声呐系统战场损伤评估及修复模型

为了解决战场环境下的声呐系统损伤评估及修复（SSBDAR）问题,本文研究了战场损伤评估及修复模型。针对舰艇声呐系统战场损伤评估的因果推理特性,建立了基于贝叶斯网络的战场损伤评估模型,提出了基于贝叶斯网络的评估流程,给出了基于贝叶斯网络的评估决断算法。该模型利用贝叶斯网络对各评估修复节点进行分析,能够解决损伤信息不确定性,而且充分利用舰艇声呐系统各节点的损伤信息,提高了模型评估及修复效率,是解决舰艇声呐系统战场损伤评估及修复问题的一个有效途径。     

基于LM算法的组合导航系统的故障诊断

LM (Levenberg-Marquardt)算法是梯度下降法与高斯-牛顿法的结合,在训练次数与精度上明显优于标准的BP算法.介绍了BP神经网络,采用LM算法对标准BP算法进行改进,并应用于船舶组合导航系统的故障诊断.仿真结果表明,LM算法可有效地提高学习速度,缩短训练时间,诊断效果好.     

无线Ad-Hoc网络密钥分发和认证机制研究

针对Ad Hoc网络没有管理中心,资源受限等特点,解决了Ad-Hoc网络面临的新的安全问题,使Ad-Hoc网络得到更广泛的应用.结合基于身份加密和门限秘密共享两个基本理论,提出了一个适用于Ad-Hoc网络、没有管理中心的分布式密钥分发和认证方案.其优点是:减少了运算量,节省了存储空间和带宽,并无需在网络形成之前假设密钥已经分发完毕,从而有效解决了Ad-Hoc网络安全中密钥管理的问题.     

The value of options for time charterparty extension: an artificial neural networks (ANN) approach

The most frequently associated options in the physical shipping market are options to extend the charter period on time charters and additional shipment options on contracts of affreightment. The value of freight options, in practice, is estimated mostly by referring to forward curves. An option on freight has different properties from its financial counterparts, and the straightforward adoption of theoretical models does not produce promising results. In this paper, extension options, which have the property of options on futures, were transformed into regular European options before the application of the Black-Scholes model (BSM). The efficient market hypothesis, which justifies the parity of the performance of a long-term charter to that of repetitive short-term charters, worked as the basis for the transformation. The option values determined by the BSM were compared with actual realized values. Additionally, the artificial neural networks (ANN) was employed to derive the option values. This study is meaningful as the first-time application of both the closed-form solution and the ANN to the valuation of physical freight options. The research results can contribute to the quality of chartering decisions. The results could also be used in quantifying credit risk, as extension options tend to be granted to charterers with more creditability.     

A latent class accelerated hazard model of social activity duration

Over the past decade, activity scheduling processes have gained increasing attention in the field of transportation research. However, still little is known about the scheduling of social activities even though these activities account for a large and growing portion of trips. This paper contributes to this knowledge. We analyze how the duration of social activities is influenced by social activity characteristics and characteristics of the relationship between the respondent and the contacted person(s). To that end, a latent class accelerated hazard model is estimated, based on social interaction diary data that was collected in the Netherlands in 2008. Chi-square tests and analyses of variance are used to test for significant relations between the latent classes and personal and household characteristics. Findings suggest that the social activity characteristics and the characteristics of the relationship between the socializing persons are highly significant in explaining social activity duration. This shows that social activities should not be considered as a homogenous set of activities and it underlines the importance of including the social context in travel-behavior models. Moreover, the results indicate that there is a substantial amount of latent heterogeneity across the population. Four latent classes are identified, showing different social activity durations, and different effects for both categories of explanatory variables. Latent class membership can be explained by household composition, socio-economic status (education, income and work hours), car ownership and the number of interactions in 2 days.     

基于MapBasic的战时运输最优路径问题研究

战时运输最优路径问题是一个多目标多约束随机动态路网寻优问题。在分析战时运输最优路径问题特性前提下,着重研究战时运输路阻函数模型,求出时间阻抗、风险阻抗和费用阻抗,标定阻抗参数μ1,μ2和μ3,及确定函数模型的MapBasic表达,在给出最优路径模型基础上,利用改进的Dijkstra算法求解。实例验证表明研究成果满足实用要求。     

The use of demand correlation in the modeling of air carrier departure delays as first‐order autoregressive random processes

A method for modeling air carrier departure delays at commercial‐service airports as autoregressive random processes is presented. This method employs the correlation of a priori demand data to significantly reduce prediction error in the optimal least‐squares estimator for additive white noise. The reduction factor of the prediction error is demonstrated to be on the order of 10² over that of the unbiased estimator. Copyright © 2011 John Wiley & Sons, Ltd.