多群体优良模式自学习遗传算法

针对经典遗传算法存在的问题,提出了多群体优良模式自学习遗传算法.引入了迁移与学习算子,以提高遗传算法的有效性与收敛性.通过对Goldstein和Price函数的优化计算,说明了该方法具有良好的全局搜索能力和较快的收敛速度.     

An Analysis of an SIRS Epidemic Model with General Direct Immunization in Networks北大核心CSCD

We consider an SIRS epidemic model with a general direct immunization rate on networks. By constructing suitable Lyapunov functions, we find that the dynamical behvaior of the model is completely determined by the epidemic threshold λc. When λ≤λc, the disease-free equilibrium is globally asymptotically stable; when λ>λc, the endemic equilibrium is globally asymptotically stable. In addition, we propose a uniform direct immunization and a targeted direct immunization. The results show that under the same average immunization rate s there exists a critical immunization-lost rate δc so that the epidemic threshold of the targeted direct immunization is smaller (larger) than that of the uniform direct immunization if δ<δc(δ>δc). © 2017, The Journal of Agency of Complex Systems and Complexity Science. All right reserved.     

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.     

基于ＮＰ准则的属性关联度量及门限确定方法

在目标空域密集环境下,属性辅助运动状态数据关联是目前公认的解决数据关联性能严重下降问题的潜在有效途径。从Neyman Pearson准则出发,在分析经典运动状态信息关联度量及门限确定方法合理性的基础上,给出属性辅助数据关联中属性度量及对应门限的确定方法。仿真结果表明,与惯用的固定门限相比,该方法确定的度量及门限具有稳定的关联性能。     

通过四倍体补偿实验证明iPS细胞具有发育全能性

本研究首次利用诱导性多能干细胞(iPS细胞)通过四倍体囊胚注射得到存活并具有繁殖能力的小鼠。研究中,我们制备了37株iPS细胞系,其中3株iPS细胞系获得了共计27个活体小鼠,经多种分子生物学技术鉴定,证实该小鼠确实从iPS细胞发育而成。其中一些小鼠现已发育成熟并且繁殖了后代,这是世界上第一次获得完全由iPS细胞制备的活体小鼠,有力地证明了iPS细胞具有真正的全能性。这项工作为进一步研究iPS技术在干细胞、发育生物学和再生医学领域的应用提供了技术平台,将iPS细胞研究推到了新的高度,也为中国在这一国际热点研究领域取得领先地位做出了重要的贡献。     

催化剂、基底对ECR-CVD法制备碳纳米管的影响

采用电子回旋共振微波等离子体化学气相沉积技术(ECR CVD),CH4和H2为气源,分别以Fe3O4,Co纳米粒子及Fe(NO)3溶胶为催化剂在多孔硅基底上制备了碳纳米管;在Si(111)和石英基底上以Fe3O4纳米粒子为催化剂实现了碳纳米管的生长·使用扫描电子显微镜(SEM)、透射电子显微镜(TEM)对样品的形貌、尺寸及结构进行表征·讨论了催化剂和基底对碳纳米管形貌、密度和取向性的影响·结果表明:催化剂影响碳纳米管的成核密度和生长速度,基底通过影响催化剂的特性和分布均匀性,对碳纳米管的形貌和生长模式产生重要影响,以Fe3O4为催化剂在多孔硅上实现了碳纳米管的最优定向生长·     

考虑固结路径影响的天然沉积土不排水剪切试验研究

针对传统等向固结剪切试验不能反映实际工程中的非等向变形和强度特性的局限,采用GDS应力路径三轴试验仪,对天然沉积结构性软黏土进行了不同固结条件下的不排水剪切试验,探讨不同应力路径对天然沉积土不排水剪切特性的影响.结果表明:相同的平均有效固结应力下土体偏压固结后剪切阶段应力-应变关系曲线的峰值强度大于等向固结的峰值强度;固结过程偏应力的存在提高了土体的总应力强度指标,当控制固结压力终值的剪应力相同时,偏压固结的强度包线相对于等向固结将平行上移;等向固结下当固结压力大于结构屈服压力时,有效应力路径与屈服面具有相似性,剪切屈服破坏后有效应力路径沿着临界状态线下滑;偏应力固结后剪切过程中有效应力路径的走向相对于等向固结发生了向右偏转.     

浅谈加强工程建设领域招标投标活动管理的方法

文章针对目前工程建设领域招标投标活动中招标代理机构市场行为、评标专家评标活动和评标方法存在的问题,提出了加强工程建设领域招标投标活动管理的方法.     

基于深度贝叶斯网络学习的不确定性建模方法

战场态势评估涉及很多不确定因素,对不确定性进行仿真建模能够提高态势评估的能力。针对参战对象多元、不确定性增多导致的无法全面准确表达不确定性问题,提出了基于记忆模块和变分自编码器的深度贝叶斯网络模型。采用生成模型设计了基于深度贝叶斯网络学习的态势评估模型;阐述了融合记忆模块的深度生成模型原理和模型的学习与推理过程;以某空袭行动为例构建贝叶斯网络,对所提方法进行了验证。结果表明:深度神经网络能够逼近隐变量的非线性变换,设计的记忆模块能存储深度神经网络提取的大量局部特征,通过学习自动得到了贝叶斯网络条件概率,增强了不确定性建模能力。     

New Lyapunov-Krasovskii Functional for Stability Analysis of Linear Systems with Time-Varying Delay

This paper focuses on the problem of delay-dependent stability of linear systems with time-varying delay. A new delay-product-type augmented Lyapunov-Krasovskii functional(LKF) is constructed. Based on the LKF and by employing a generalized free-matrix-based integral inequality,less conservative delay-dependent stability criteria are obtained. Finally, two well-known numerical examples are used to confirm the effectiveness and the superiority of the presented stability criteria.