基于能力谱法导管架平台抗震性能评估

针对现行海洋平台抗震规范无法考虑平台结构弹塑性抗震性能及地震失效机制问题,提出基于能力谱法海洋平台抗震性能评估方法,获得平台结构抗震性能及失效模式,解决强震作用下海洋平台结构弹/塑性抗震评估技术难题。基于规范推荐地震弹性设计谱,采用折减系数建立弹/塑性反应谱,结合渤海某导管架平台,采用能力谱法进行弹/塑性抗震性能评估。结果表明:能力谱法计算简便,对于以第1阶振型为主导地震响应的平台结构具有较好的精度;采用能力谱法评估地震惯性载荷时须考虑其高度效应,可采用倒三角或高度等效加载方式;桩基失效是平台结构地震作用下主要失效模式,平台抗震设计时应保证桩腿具有足够强度和入泥深度,避免强震作用下桩基失效而导致平台结构整体倾覆。     

一种减小非授权频段HARQ进程时延的方案

针对利用非授权频段发送上行或者下行数据时某些HARQ进程总是在重传时刻没有占用到信道资源而导致时延过大的问题,提出了一种基于HARQ进程优先级分配信道资源的上下行重传方案。根据每个HARQ进程错过传输的次数和时延进行优先级判定,在竞争到信道使用权后按照优先级分配资源,使得各个HARQ进程以一种较为公平的方式使用有限的信道资源。在LTE系统仿真平台上建立非授权频段下的HARQ模型,并结合增量冗余（IR）和Chase合并技术进行性能验证。仿真结果表明所提方案的上下行HARQ进程平均时延有明显的降低,系统平均吞吐量得到一定程度的改善。     

双线地铁隧道对三维非线性场地地表地震反应的影响

地铁隧道的存在破坏了原有场地的完整性,进而在地震来临时影响场地的地震反应。为探讨双线地铁隧道建成后对场地地表水平地震动的影响,针对北京某一典型双线地铁隧道工程场地,建立三维非线性场地模型。采用自由场边界和应力时程地震波输入方式,运用有限差分数值分析软件FLAC~(3D)进行模型计算,分析了双线地铁隧道对三维非线性场地地表地震反应的影响。结果表明:1双线地铁隧道的存在使隧道附近场地地表地震动峰值加速度呈现先增大后减小并趋于自由场的趋势;2双线地铁隧道的存在主要影响场地加速度反应谱的短周期部分;3入射地震动频谱对双线地铁隧道的场地地震反应有着显著的影响。文中得出的影响规律,为双线地铁隧道附近场地的设计地震动参数确定提供参考依据。     

灰色Verhulst预测模型的病态特性

为揭示灰色Verhulst模型的建模精度在原始序列存在微小扰动下的变化规律,采用矩阵谱条件数作为研究工具对该模型系数矩阵谱条件数的取值进行分类讨论. 研究结果表明,当且仅当系统原始数据序列第一项为大于零的常数,其他所有项数据皆为0时,建立灰色Verhulst模型才会呈现严重病态性,而采用已呈现特定规律的数据序列构建灰色Verhulst预测模型毫无实际意义. 研究结论认为,灰色Verhulst模型并不存在严重病态性.     

复杂网络中连通支配中心性的计算

分析了现实生活中对重要节点的需求背景,对连通的网络模型提出了一种新型中心性评价指标,连通支配中心性。该中心性利用网络连通支配集的"连通"和"支配"两大特性,通过循环构建点导出支配子图的连通支配集,生成一棵支配关系扩展有向树。然后基于各节点在该有向树中的支配层次数,支配数和支配边权值3方面的属性,设计了反映节点支配能力强弱的中心性计算公式。最后以合作关系图为例进行相应实验,发现连通支配中心性比较高的节点不仅构成了网络的骨干网,能较好地维持网络基本形态,而且能桥接几个不同研究分区,起到一定的中介作用,体现了网络中节点的组织控制能力。     

Some interval-valued intuitionistic uncertain linguistic hybrid Shapley operators

Two interval-valued intuitionistic uncertain linguistic hybrid operators cal ed the induced interval-valued intuitionistic uncertain linguistic hybrid Shapley averaging （I-IIULHSA） operator and the induced interval-valued intuitionistic uncertain linguistic hybrid Shapley geometric （I-IIULHSG） operator are defined. These operators not only reflect the importance of elements and their ordered positions, but also consider the correlations among elements and their ordered positions. Since the fuzzy measures are defined on the power set, it makes the problem exponentially complex. In order to simplify the complexity of solving a fuzzy measure, we further define the induced interval-valued intuitionistic uncertain linguistic hybrid λ-Shapley averaging （I-IIULHλSA） operator and the induced interval-valued intuitionistic uncertain linguistic hybrid λ-Shapley geometric （I-IIULHλSG） operator. Moreover, an approach for multi-attribute group decision making under the interval-valued intuitionistic uncertain linguistic environment is developed. Finally, a numerical example is provided to verify the developed procedure and demonstrate its practicality and feasibility.     

Opportunistic spectrum sharing in software defined wireless network

Over the past few decades, the world has witnessed a rapid growth in mobile and wireless networks（MWNs） which significantly change human life. However, proliferating mobile demands lead to several intractable challenges that MWN has to face. Software-defined network is expected as a promising way for future network and has captured growing attention. Network virtualization is an essential feature in software-defined wireless network（SDWN）, and it brings two new entities, physical networks and virtual networks. Accordingly, efficiently assigning spectrum resource to virtual networks is one of the fundamental problems in SDWN. Directly orienting towards the spectrum resource allocation problem, firstly, the fluctuation features of virtual network requirements in SDWN are researched, and the opportunistic spectrum sharing method is introduced to SDWN. Then, the problem is proved as NP-hardness. After that, a dynamic programming and graph theory based spectrum sharing algorithm is proposed.Simulations demonstrate that the opportunistic spectrum sharing method conspicuously improves the system performance up to around 20%–30% in SDWN, and the proposed algorithm achieves more efficient performance.     

FORECASTING ：EXCHANGE RATES： AN OPTIMAL APPROACH

This paper looks at forecasting daily exchange rates for the United Kingdom, European Union, and China. Here, the authors evaluate the forecasting performance of neural networks （NN）, vector singular spectrum analysis （VSSA）, and recurrent singular spectrum analysis （RSSA） for fore casting exchange rates in these countries. The authors find statistically significant evidence based on the RMSE, that both VSSA and RSSA models outperform NN at forecasting the highly unpredictable exchange rates for China. However, the authors find no evidence to suggest any difference between the forecasting accuracy of the three models for UK and EU exchange rates.     

可列个非负线性合成对策的解结构

给出了可列个非负线性合成对策，证明了可列个非负线性合成对策的几种解也可由其子对策相应的解来表达，从而解决了可列个非负线性合成对策解的结构问题．     

随机线加速度运动环境生成原理及实现

在大气层中飞行的飞行器，往往易受大气扰动的影响，大气紊流现象可用随机过程的理论和方法来描述，其对飞行器的影响反映为飞行器含随机加速度分量。本文利用关联驱动六自由度平台来模拟随机线加速度运动环境，可实现空间六自由度模拟。试验结果表明，该平台有能力实现随机线加速度运动环境。文章也提出了用平台模拟该环境需解决的一些问题。