Internal oscillation of vector solitons and necklace solitons

Internal modes and internal oscillation of vector solitons associated with photoisomerization and necklace solitons in Bessel lattices are researched. While white noise gives rise to the unsmoothness of the vector solitons, the perturbation of internal modes results in the long-distance quasi-periodic oscillation of soliton shape. Internal modes of two-dimensional necklace solitons in Bessel lattices have both real and imaginary parts, which is different with the internal modes of one-dimensional solitons which have only real part.     

Multilayer growth of BaTiO3 thin films via pulsed laser deposition: An energy-dependent kinetic Monte Carlo simulation

An energy-dependent kinetic Monte Carlo approach was proposed to simulate the multilayer growth of BaTiO₃ thin films via pulsed laser deposition, in which the four steps, such as the deposition of atoms, the diffusion of adatoms, the bonding of adatoms, and the surface migration of adatoms, were considered. Distinguishing with the traditional solid-on-solid (SOS) model, the adatom bonding and the overhanging of atoms, according to the perovskite structure, were specially adopted to describe the ferroelectric thin film growth. The activation energy was considered from the interactions between the ions, which were calculated by Born-Mayer-Huggins (BMH) potential. From the simulation the relative curves of the each layer coverage and roughness vs total coverage were obtained by varying the parameter values of the incident kinetic energy, laser repetition rate and mean deposition rate. The relationship between growth modes and the different parameters was also acquired.     

基于EMD-GA-BP与EMD-PSO-LSSVM的中国碳市场价格预测

由于碳交易市场价格的波动性大及相互影响关系的复杂性,本文试图构建碳价格长期和短期的最优预测模型。考虑到碳交易价格波动的趋势性和周期性特点,基于经验模态分解算法(EMD)、遗传算法(GA)—神经网络(BP)模型、粒子群算法(PSO)—最小二乘支持向量机(LSSVM)模型及由它们构建的组合预测模型,对中国碳市场交易价格进行短期预测和长期预测。实证分析中将影响碳交易价格的不同宏观经济因素和碳价格时间序列因素做为输入变量,分别代入组合模型进行预测。研究结果表明,在短期预测中,EMD-GA-BP模型预测效果优于GA-BP模型和PSO-LSSVM模型;而在长期预测中,组合模型EMD-PSO-LSSVM模型预测效果优于只考虑碳价格波动趋势性或周期性预测效果。     

区域立体物流网络规划模型与算法

提出长株潭区域立体物流网络建构及其网络优化设计.精细化定义了模式分担率,构建了更切合实际的双准则双层规划模型.下层规划描述各核心城市物流枢纽间基于多模式多层阶交通条件下的用户选择行为,上层规划追求最小化长株潭区域立体物流网络系统广义物流费用并最大化整个网络的物流运输量,以满足城市群区域经济发展对物流提出的更高要求.给出了可以克服Frank-Wolfe方法缺陷的惩罚Lagrange对偶方法求解下层规划算法,设计了基于实数编码和组合变异的双层规划改进遗传算法,算法可以保证搜索到近似全局最优解.     

Maccari's方程组新的精确行波解

利用多项式的完全判别系统和初等积分法求出了Maccari's方程组的许多新的精确行波解.此方法与其它方法相比更简洁.     

贷款定价中的低估行为与房地产价格泡沫——扩展的PW模型与中国经验

Pavlov和Wachter清晰地阐述了商业银行对抵押贷款看跌期权内在价值的低估导致资产价格膨胀,使其脱离基础价值,即产生泡沫。但是其假设条件缺乏一般性,并且没有考虑开放条件下的汇率风险。本文在对其假设条件进行修正,并添加汇率因素的基础上,对PW模型进行扩展,从而得出开放条件下商业银行贷款定价行为与房地产价格泡沫的相关分析模型,得出的结论是,房地产价格与利差和汇率负相关,与存款利率正相关,而提高借款人的自付权益成本可削弱贷款定价中的低估行为对房价的影响。最后,采用我国2005年7月至2008年9月的月度数据进行计量分析,基本证实了模型的结论,同时,也说明了房地产需求对样本期间内的房价飚涨影响不大,货币政策的调控效果也非常微弱。     

圆板动力反直观行为实验研究

对受子弹正向撞击的铝合金圆板进行了动力反直观行为的实验研究。描述了不同撞击速度下板的响应模式,发现了圆板中的反直观现象,即板的最终变形与子弹撞击方向相反,并记录了板在整个变形过程中典型点的位移历史曲线,进一步证实了结构动力响应的反直观行为是一种客观存在的弹塑性动力行为。     

An efficient PDF calculation of flame temperature and major species in turbulent non-premixed flames

In spite of recent developments in the PDF calculations of turbulent flames, the high computational time required to implement PDF simulations makes it intractable in practical applications. Therefore, it is important to design and select different parameters for PDF calculation of most important quantities, i.e. temperature and major species means, in an efficient manner. The ingredients of the present model are a standard k$k$–ε$\epsilon$ turbulence closure for modeling flow field and a joint composition PDF closure for the scalar fields. A modified Curl model is applied to consider molecular mixing in PDF transport equation and a simplified two-step mechanism which lowers the computational cost is incorporated to describe the chemistry. The flow field is solved numerically using an upwind discretization for the convective terms and a central discretization for the diffusion terms by coupling it with an Eulerian Monte Carlo algorithm to solve PDF transport equation. To show the superiority of the current PDF calculations over traditional moment-closure methods commonly used in practical applications, simulation is also performed by RANS method which shows large discrepancies, especially in prediction of maximum flame temperature (on the basis of present results, predicted flame temperature has 26%$26\%$ error via RANS method and 8%$8\%$ error via PDF method). Stoichiometric flame length predicted by RANS has 10%$10\%$ error while, by PDF method, this error is negligible and about 0.6%$0.6\%$. The effect of coefficient _CΦ$C_{\Phi }$ on the modified Curl model is also investigated and it is concluded that the commonly used value _CΦ=2.0$C_{\Phi }=2.0$ is the best choice for the case of study. The numerical results obtained reveal that Westbrook–Drier mechanism is working very well in fuel-lean (F<_Fst$F<F_{\mathit{st}}$) non-premixed combustion and also it predicts the total heat released in methane combustion in a very good agreement with the experiment.     

基于最小二乘支持向量机的橄榄油掺杂拉曼快速鉴别方法

提出了一种基于最小二乘支持向量机(LS-SVM)的橄榄油掺杂拉曼快速鉴别方法。首先,收集若干己知类别的橄榄油样作为训练样本,获取其拉曼谱图,并对其谱图进行预处理和波段选择,进而构建LSSVM分类器;对于未知类别的油样,获取其拉曼谱图,并进行相应的预处理和波段选择,由LSSVM分类器获得鉴别结果。实验以7种已知的特级初榨橄榄油为基础,分别掺入4种其它植物油(大豆油、菜籽油、玉米油、葵花籽油),获得112个掺杂油样。将全部样本随机分成训练集和测试集,对测试集样本的预测实验结果表明,本文方法能有效鉴别橄榄油掺杂,且掺杂量最低检测限为5%。与其它分类方法相比,LSSVM分类法具有最佳的分类性能。该方法快速、简便,为橄榄油掺杂鉴别提供了一种全新的方法。     

射频感应耦合低压等离子体特性分析

采用光谱诊断法和Langmuir单探针法对射频感应耦合Ar气等离子体特性进行分析。通过光栅光谱仪研究了低气压下Ar气等离子体的光谱强度的变化特性,采用Langmuir单探针法测量不同条件下电子密度和电子温度。等离子体发射光谱的光谱强度随着气压和功率的增加而增强,射频功率对光谱强度的影响较明显。当功率从120W增加到180W时,光谱强度将会迅速增加,等离子体发生E模向H模的模式转换。Langmuir单探针法测量的电子密度和电子温度在的变化规律符合E模向H模转换的变化规律。