GMCL： a robust global localization method for mobile robot

A large sample size is required for Monte Carlo localization （MCL） in multi-robot dynamic environ- ment, because of the ＂kidnapped robot＂ phenomenon, which will locate most of the samples in the regions with small value of desired posterior density. For this problem the crossover and mutation operators in evolutionary computation are introduced into MCL to make samples move towards the regions where the desired posterior density is large, so that the sample set can represent the density better. The proposed method is termed genetic Monte Carlo localization （GMCL）. Application in robot soccer system shows that GMCL can considerably reduce the required number of samples, and is more precise and robust in dynamic environment.     

非支配解集的质量评价方法

多目标演化算法的目的是获得逼近Pareto最优前沿的分布均匀的非支配解集合,非支配解集的质量是多目标演化算法研究的重要领域.本文对目前提出的非支配解集的质量评价方法进行分类比较,为算法的整体性能评价和算法的性能比较提供了参考依据.     

一种暂态混沌神经网络及其应用

讨论了Hopfield神经网络算法在优化计算中的应用,提出了一种暂态混沌神经网络模型,把混沌动力学与收敛动力学相结合,使网络逐渐由混沌神经网络向Hopfield网络过渡,达到控制混沌的目的,并且提供一个在全局最优解附近的初值,然后用Hopfield网络得到最优解,有效地解决了Hopfield网络的局部极值问题.仿真结果表明算法对于初始值是稳健的,并且具有很强的克服陷入局部极小能力.     

基于一阶振型斜率的剪切型建筑结构损伤定位

提出了一种利用结构一阶振型斜率改变判断剪切型结构损伤位置的方法.首先,进行结构振型和振型斜率对损伤的敏感性分析,导出敏感性系数表达式.然后,计算结构损伤前后的一阶振型斜率差.最后,在敏感性分析和计算得到的结构一阶振型斜率差的基础上,通过迭代计算消除多损伤引起的振型斜率改变叠加进行损伤定位.通过10层剪切型框架结构不同损伤工况的数值分析表明,所提出的算法能够正确识别所有的损伤位置.     

TIBO类衍生物抗HIV-1活性的QSAR研究

在分子图邻接矩阵的基础上,定义并计算了TIBO类衍生物原子的点价值iδ,利用图论方法建构了新的分子连接性指数mE,基于多元回归技术发展了对TIBO类衍生物药物的活性参数作出精确估算的定量结构-活性相关关系,得到的多元回归方程为:P=-274.563 80E-1 65.530 61E-1-149.681 6Jx-'1 26.084 7计算结果表明,抗H IV-1活性参数的计算值和实验值的一致性令人满意。     

某电厂公路边坡土钉墙支护的设计计算

本文以某公路边坡为例,采用岩土理正软件作为计算工具,对边坡的土钉墙支护进行了设计计算,计算结果表明理论计算结果与软件计算结果相吻合.     

半导体量子点Rabi振荡品质因子及其退相干机制

采用光致发光方法和纳米光谱成像技术,研究了单个半导体量子点中激发态激子的Rabi振荡。观测了在两个延时位相可控的!/2脉冲激发下,激发态激子数随其量子比特位相旋转而振荡的特性。由实验观测结果分析得知此单个半导体量子点量子比特的自由旋转品质因子约为9.8×104,动力旋转品质因子约为18。讨论了激子从浸润层到量子点的俘获过程对Rabi振荡衰减退相干的影响。简要分析了量子点的激子自旋操控和单光子发射统计特性。     

Echo-state-network classification based multi-services awareness in high-speed optical passive networks

With the challenge of great growing of services diversity,service-oriented supporting ability is required by current high-speed passive optical network (PON).Aimed at enhancing the quality of service (QoS) brought by diversified-services,this study proposes an echo state network (ESN) based multi-service awareness mechanism in 10-Gigabite ethernet passive optical network (10G-EPON).In the proposed approach,distributed architecture is adopted to realize this ESN based multi-service awareness.According to the network architecture of 10G-EPON,where a main ESN is running in OLT and a number of ESN agents works in ONUs.The main-ESN plays the main function of service-awareness from the total view of various kinds of services in 10G-EPON system,by full ESN training.Then,the reservoir information of well-trained ESN in OLT will be broadcasted to all ONUs and those ESN agents working in ONUs are allowed to conduct independent service-awareness function.Thus,resources allocation and transport policy are both determined only in ONUs.Simulation results show that the proposed mechanism is able to better support the ability of multiple services.     

Curcin和curcin C与腺嘌呤互作位点的比较分析

麻疯树核糖体失活蛋白curcin和curcin C均具有抗肿瘤活性,但后者的活性水平显著高于前者,为了探索造成这一差异的结构基础,本文采用在线的同源建模预测软件SWISSMODEL,对两种麻疯树核糖体失活蛋白curcin、curcin C的三维结构模型进行预测,采用SYBYL对预测模型进行能量最小化优化,采用PROCHECK、VERIFY 3D和ERRAT软件对优化前后的模型进行质量评估,随后采用AutoDock软件将预测的模型与腺嘌呤进行分子对接分析.结果显示,两种蛋白采用与Ricin A类似的方式与腺嘌呤相互作用,但在相互作用的氨基酸残基种类、数量以及形成的氢键和疏水相互作用上还是存在差异,其中,curcin C与腺嘌呤具有最强的结合能力,curcin则最低.     

SAR回波数据并行化模拟研究

SAR系统回波仿真的计算量巨大,为了克服传统SAR仿真耗时过长的问题,基于MATLAB/DCT(Distributed Computing Toolbox)软件平台,利用对场景划分的方法进行了SAR回波数据并行计算的仿真。仿真结果表明,该方法能明显提高SAR回波仿真效率。验证了SAR回波数据并行化仿真的可行性和有效性。