Robust optimization of foam-filled thin-walled structure based on sequential Kriging metamodel

Deterministic optimization has been successfully applied to a range of design problems involving foam-filled thin-walled structures, and to some extent gained significant confidence for the applications of such structures in automotive, aerospace, transportation and defense industries. However, the conventional deterministic design could become less meaningful or even unacceptable when considering the perturbations of design variables and noises of system parameters. To overcome this drawback, a robust design methodology is presented in this paper to address the effects of parametric uncertainties of foam-filled thin-walled structure on design optimization, in which different sigma criteria are adopted to measure the variations. The Kriging modeling technique is used to construct the corresponding surrogate models of mean and standard deviation for different crashworthiness criteria. A sequential sampling approach is introduced to improve the fitness accuracy of these surrogate models. Finally, a gradient-based sequential quadratic program (SQP) method is employed from 20 different initial points to obtain a quasi-global robust optimum solution. The optimal solutions were verified by using the Monte Carlo simulation. The results show that the presented robust optimization method is fairly effective and efficient, the crashworthiness and robustness of the foam-filled thin-walled structure can be improved significantly.     

一类多时变时滞T-S模糊广义系统的容许控制

研究了一类具有多时变时滞的T-S模糊广义系统的容许控制问题。首先,给出了多时变时滞的T-S模糊广义系统数学模型,并且利用Lyapunov稳定性分析方法,得到了多时变时滞的T-S模糊广义系统的容许的一个充分条件,所得的结果对时变时滞的变化率没有限制。该充分条件可以通过严格线性矩阵不等式来求解。然后基于所给出的容许性定理,提出了状态反馈控制器的设计方法.最后,使用算例说明了所给方法的可行性和有效性。     

基于可调功率因数的单相AC－DC变换电路设计

本文以2013年全国大学生电子设计竞赛A题为依据,设计的单相AC-DC变换电路32位的STM32f103作为主控制器,主电路由220V市电经过自耦变压器,隔离变压器降至20-30V交流电,后接全桥整流电路,使电路稳定输出36V直流电,主电路通过硬件电流电压PI闭环控制,双环控制来调节输入的电流和输出电压,输入的交流电压和交流电流通过互感器采到单片机内,程序通过改变产生的正弦波的相位来改变功率因数,从而达到功率因数可调的目的,使设计的电路能包含题目中要求的所有部分,并通过优化而达到题目的要求,在主电路中加入继电器,控制继电器断开从而实现过流保护的功能。     

降低循环流化床锅炉飞灰含碳量的因素分析

循环流化床锅炉的飞灰含碳量是锅炉燃烧工况好坏的直接反映 ,其对锅炉的热效率的影响是很大的 ,它还直接影响着粉煤灰的综合开发和利用 .在对云天化循环流化床锅炉的生产实验研究中 ,分析了影响循环流化床锅炉飞灰含碳量的各种因素 (床温、煤质煤粒、一次风、二次风、床压和旋风分离器效率等 ) ,通过实验研究找到了降低循环流化床锅炉飞灰含碳量的具体而又行之有效的操作方法 ,以指导实际生产 .     

企业信息安全管理现状与管理对策探讨

随着互联网技术的快速发展,企业的信息化建设步伐在不断的加快,企业的信息安全问题也逐步显现,信息安全所面临的危险已渗透到企业生产经营管理的各个方面,加强企业信息安全管理刻不容缓。文章对企业的信息安全现状和管理对策进行了分析探讨。     

Maximum error-bounded Piecewise Linear Representation for online stream approximation

Given a time series data stream, the generation of error-bounded Piecewise Linear Representation (error-bounded PLR) is to construct a number of consecutive line segments to approximate the stream, such that the approximation error does not exceed a prescribed error bound. In this work, we consider the error bound in \(L_\infty \) norm as approximation criterion, which constrains the approximation error on each corresponding data point, and aim on designing algorithms to generate the minimal number of segments. In the literature, the optimal approximation algorithms are effectively designed based on transformed space other than time-value space, while desirable optimal solutions based on original time domain (i.e., time-value space) are still lacked. In this article, we proposed two linear-time algorithms to construct error-bounded PLR for data stream based on time domain, which are named OptimalPLR and GreedyPLR, respectively. The OptimalPLR is an optimal algorithm that generates minimal number of line segments for the stream approximation, and the GreedyPLR is an alternative solution for the requirements of high efficiency and resource-constrained environment. In order to evaluate the superiority of OptimalPLR, we theoretically analyzed and compared OptimalPLR with the state-of-art optimal solution in transformed space, which also achieves linear complexity. We successfully proved the theoretical equivalence between time-value space and such transformed space, and also discovered the superiority of OptimalPLR on processing efficiency in practice. The extensive results of empirical evaluation support and demonstrate the effectiveness and efficiency of our proposed algorithms.     

Oxidative dehydrogenation of ethane over Co–BaCO3 catalysts using CO2 as oxidant: effects of Co promoter

Co–BaCO₃ catalysts exhibited high catalytic performance for oxidative dehydrogenation of ethane (ODE) using CO₂ as oxidant. The maximal formation rate of C₂H₄ was 0.264 mmol · min⁻¹ · (g · cat.)⁻¹ (48.0% C₂H₆ conversion, 92.2% C₂H₄ selectivity, 44.3% C₂H₄ yield) on 7 wt% Co–BaCO₃ catalyst at 650 °C and 6000 ml. (g · cat.)⁻¹. h⁻¹. Co–BaCO₃ catalysts were comparatively characterized by XRF, N₂ isotherm adsorption-desorption, XRD, H₂-TPR and LRs. It was found that Co⁴⁺–O species were active sites on these catalysts in ODE with CO₂. The redox cycle of Co–O species played an important role on the catalytic performance of Co–BaCO₃ catalysts. On the other hand, the co-operation of BaCO₃ and BaCoO₃ was considered to be one of possible reasons for the high catalytic activity of these catalysts.     

基于蜂群算法的移动agent迁移策略研究*

旅行agent问题是一个复杂的组合优化问题,在于解决保证agent在不同主机间移动时如何根据任务情况规划路线,实现在完成任务时间最短的路线上迁移。采用进化算法的搜索求解具有启发性强、鲁棒性强的特点,但也面临着陷于局部最优解,导致agent在迁移过程中整体任务完成效率降低等问题。提出了一种基于蜂群算法的agent迁移模型,将agent划分为侦察、引领和跟随三种角色,agent通过彼此间的信息互换,在群体迁移的过程中同时实施新路径的发现和调整。实验结果表明,该算法可以很好地实现目标寻径效率,与经典蚁群算法相比     

基于MapReduce模型的分布式天文交叉证认*

交叉证认是实现多波段数据融合的关键技术,目前还缺乏对其分布式算法的研究。快速增长的数据规模使该问题必须要依赖分布式并行计算技术解决。提出了一种基于MapReduce分布式模型的新方法,根据Map-Reduce的要点,尽量减少了任务间的通信量,并通过合理设置划分粒度保证了效率与存储间的平衡。实验结果表明,该方法对海量数据交叉证认的效率提升明显,在大规模集群上达到了接近线性的加速比。该方法为交叉证认提供了一种快速有效的解决途径。     

一种基于小波系数边信息的鲁棒水印算法

为了实施图像的版权保护,提出了一种基于小波系数幅值关系的盲水印算法。原始图像通过三级小波分解得到小波系数,算法在密钥的控制下,伪随机地选择中频子带中两块共8个系数组成一组。通过小幅度量化来加强每组数据中两块系数幅值的大小关系特征,利用这组系数的特征作为边信息和水印信息生成密钥、嵌入水印。保存密钥,并在密钥的控制下提取水印。实验结果表明,该算法不仅能有效抵抗JPEG压缩、低通滤波、高斯噪声和几何攻击,而且水印图像的PSNR可以保持在50 dB以上。