改进QPSO算法的移动机器人轨迹跟踪控制方法

分析了智能群体的决策机制,发现在智能群体决策过程中,个体粒子参与决策的权利根据个体的优劣程度是不同的,提出了在量子粒子群优化（QPSO）算法中引入线性权重算子进一步提高QPSO算法的搜索效率及优化性能。分析了移动机器人轨迹跟踪控制的滑模变结构控制器设计方法,并采用指数趋近律和幂次趋近律相结合的方法,设计了新的滑模跟踪控制律,使用PSO算法、QPSO算法和改进算法优化了滑模跟踪控制器中的参数,通过两个实例验证了优化后的跟踪控制器的设计效果;设计效果的分析和比较表明了设计的跟踪控制器能够控制机器人实现对既定轨迹的跟踪,仿真结果显示改进QPSO算法能够在轨迹跟踪控制器的参数优化中取得更好的优化效果。     

量子遗传算法及其在多用户检测中的应用

量子计算与遗传算法相结合的量子遗传算法是当今计算智能领域的一个前沿课题。文章从研究遗传算法在并行实现上的困难和改进方法出发,探讨了量子计算与遗传算法结合的理论基础,分析了量子遗传算法的理论和结构,最后提出了一种基于量子遗传算法的多用户检测方法。仿真结果表明,基于量子遗传算法的多用户检测器抗多址干扰的能力明显优于经典遗传算法多用户检测器。     

多量子垒结构的有效势垒分析

对多量子垒（ＭＱＢ）的有效垒高与结构上的关系进行了理论研究。讨论了ＭＱＢ有效垒高与阱宽及垒的关系，发现随阱宽的增加，ＭＱＢ有效垒高表现出振荡特性；而随垒宽的增加，ＭＱＢ有效垒高趋于Ｕ０，并不具振荡特性。单ＭＱＢ结构的有效垒高对阱宽较敏感，混合ＭＱＢ更有利于工艺的实现。     

GaAs/AlGaAs多量子阱FET-SEED灵巧象元

将GaAs／AlGaAs多量子阱光探测器、光调制器与GaAs场效应晶体管（FET）混合集成,构成FET-SEED灵巧象元。光探测器和光调制器均为反射型自电光效应器件（SEED）,光源为骨子阱半导体激光器。测出的光输出Pout／光输入Pin特性表明,光输入信号对光输出信号有明显的调制作用,光输入信号较小的变化可以导致光输出信号较大的变化。     

Tuning the spectrometric properties of white light by surface plasmon effect using Ag nanoparticles in a colour converting light-emitting diode

We report on the spectral tunability of white light by localized surface plasmon (LSP) effect in a colour converting hybrid device made of CdSe/ZnS quantum dots (QDs) integrated on InGaN/GaN blue light-emitting diodes (LEDs). Silver (Ag) nanoparticles (NPs) are mixed with QDs for generating LSP effect. When the plasmon absorption of Ag NPs is synchronized to the QW emission at 448 nm, the NPs selectively absorb the blue light and subsequently enhance the QD emission. Using this energy transfer scheme, the (x, y) chromaticity coordinates of the hybrid white LED was tuned from (0.32, 0.17) to (0.43, 0.26), and thereby generated warm white light emission with correlated colour temperature (CCT) around 1800 K. Moreover, a 47% enhancement in the external quantum efficiency (EQE) was realized.     

量子效应器件正在崛起

本文介绍了量子效应器件的定义、分类、特点、工作原理、特性、制造方法和应用。还介绍了国内研制量子效应器件的动态和成果。     

Influence of the additives argon, O2, C4F8, H2, N2 and CO on plasma conditions and process results during the etch of SiCOH in CF4 plasma

Reactive ion etch processes for modern interlevel dielectrics become more and more complex, especially for further scaling of interconnect dimensions. The materials will be damaged within such processes with the result of an increase in their dielectric constants. The capability of selected additives to minimize the low-k sidewall damage during reactive ion etching (RIE) of SiCOH materials in fluorocarbon plasmas was shown in different works in the past. Most of the investigated additive gases alter the fluorine to carbon ratio as well as the dissociation of the parent gas inside the etch plasma. The result is a changed etch rate, a modified polymerization behavior and other characteristics of the process induced SiCOH damage. Heavy inert ions like argon will be accelerated to the sample surface in the cathode dark space and enhance therewith the sputter yield on the SiCOH network [1]. In this paper the additives Ar, O₂, C₄F₈, H₂, N₂ and CO were added to a conventional CF₄ etch plasma. We try to provoke different changes in the plasma conditions and therewith in the process results. Contact angle measurements, spectroscopic ellipsometry, Hg-probe analysis, FTIR measurements and SEM cross-sections were used to overview the additive induced modifications. To understand the influences of the additives gases more exactly, changes in the physical and chemical plasma behavior must be analyzed. Therefore quadrupole mass spectrometry (QMS) and quantum cascade laser absorption spectroscopy (QCLAS) were used.     

基于量子遗传算法的军用道路纵断面优化设计

为实现军用道路纵断面变坡点里程和设计标高的同时优化,在分析传统纵断面优化设计方法的基础上,提出了一种基于量子遗传算法的纵断面优化设计方法,以工程量大小作为评价函数,建立了优化设计数学模型,并给出了详细的求解步骤,最后进行了实例仿真。实例仿真结果表明:与传统的遗传算法相比,本算法模型具有更好的全局寻优能力,能更快速地给出军用道路纵断面设计的初始优化方案,若在此基础上进行人工调整,优化效果更为明显。     

On the absence of global solutions for quantum versions of Schrödinger equations and systems

We, first, consider the quantum version of the nonlinear Schrödinger equation

$i^q{D}_{q|t}u(t,x)+\Delta u(qt,x)=\lambda |u(qt,x){|}^p,t>0,x\in {\mathbb{R}}^N,$

where $0<q<1$, $i^q$ is the principal value of $i^q$, $D_{q|t}$ is the $q$-derivative with respect to $t$, $\Delta$ is the Laplacian operator in ${\mathbb{R}}^N$, $\lambda \in ??\left\{0\right\}$, $p>1$, and $u(t,x)$ is a complex-valued function. Sufficient conditions for the nonexistence of global weak solution to the considered equation are obtained under suitable initial data. Next, we study the system of nonlinear coupled equations

$i^q{D}_{q|t}u(t,x)+\Delta u(qt,x)=\lambda |v(qt,x){|}^p,t>0,x\in {\mathbb{R}}^N,$

$i^q{D}_{q|t}v(t,x)+\Delta v(qt,x)=\lambda |u(qt,x){|}^m,t>0,x\in {\mathbb{R}}^N,$     

基于BIM技术的输变电三维数字化模拟仿真分析

本文研究一种基于BIM技术的输变电三维数字化模拟仿真系统。基于系统运行调度BIM系统的需求,通过将输电系统设计、建设过程的BIM系统直接进行开发,且综合调用LINUX系统下的BIM、CAM、Java、MySQL、Python、php、H5等开发工具,实现以小波分析和傅里叶分析为前期数据治理过程,以模糊神经元网络为核心数据仿真分析过程的输变电三维仿真系统。通过对该系统进行运行分析,发现:一方面可以生成更贴近真实条件的波形数据,一方面可以对故障仿真实现与理论推算100%相符的仿真结果和对运行仿真与理论推算90%以上相符的仿真结果。该系统将有效提升智能输电的智能化水平,对输电工程的智慧化过程有积极意义。