Rational design of thermoelastic damping in microresonators with phase-lagging heat conduction law

The design of thermoelastic damping (TED) affected by the phase-lagging non-Fourier heat conduction effects becomes significant but challenging for enlarging the quality factor of widely-used microresonators operating in extreme situations, including ultra-high excitation frequency and ultra-low working temperature. However, there does not exist a rational method for designing the TED in the framework of non-Fourier heat conduction law. This work, therefore, proposes a design framework to achieve low thermoelastic dissipation of microresonators governed by the phase-lagging heat conduction law. The equation of motion and the heat conduction equation for phase-lagging TED microresonators are derived first, and then the non-Fourier TED design problem is proposed. A topology optimization-based rational design method is used to resolve the design problem. What is more, a two-dimensional (2D) plain-strain-based finite element method (FEM) is developed as a solver for the topology optimization process. Based on the suggested rational design technique, numerical instances with various phase lags are investigated. The results show that the proposed design method can remarkably reduce the dissipation of microresonators by tailoring their substructures.     

基于云模型的细菌觅食优化算法

针对细菌觅食优化算法收敛速度慢、容易陷入局部极值点出现早熟的问题,提出一种新的基于云模型优化的细菌觅食优化算法.首先给出了细菌灵敏度的概念,结合云模型随机性和稳定倾向性的特点,运用了X条件云发生器来调整细菌灵敏度,控制游动步长,进行了趋向性操作和复制操作,改进了标准的细菌觅食优化算法,提高了算法的收敛速度.然后利用正向正态云发生器,修正非线性自适应的迁移概率,进行了迁移操作,增强了算法的全局寻优能力.将该算法应用于自动组卷系统中,与遗传算法进行实验比较分析,结果表明:该算法的收敛速度与优化质量均优于遗传算法.     

基于小波变换和支持向量机的心电信号ST段分类

摘要: 为完成ECG(Electrocardiogram)信号特征点提取, 并对ST 段分类, 提出了一种基于离散小波变换和支持向量机的ST 分类算法。首先对信号进行预处理, 完成噪声消除, QRS 波群检测和提取特征值; 然后计算ST段平均值、曲线面积和标准差, 并结合使用SVM(Support Vector Machine)对ST段进行分类。Matlab 仿真结果表
明, 小波去噪效果明显,ST 段未出现失真现象, 特征点提取完整。经MIT鄄BIT 数据库验证, 分类结果显示交叉验证准确率平均值为80. 70%, 训练准确率平均值为91. 83%, 测试准确率平均值为74. 28%。     

A note on “A LP-based heuristic for a time-constrained routing problem”

In their paper, Avella et al. (2006) investigate a time-constrained routing problem. The core of the proposed solution approach is a large-scale linear program that grows both row- and column-wise when new variables are introduced. Thus, a column-and-row generation algorithm is proposed to solve this linear program optimally, and an optimality condition is presented to terminate the column-and-row generation algorithm. We demonstrate by using Lagrangian duality that this optimality condition is incorrect and may lead to a suboptimal solution at termination.     

Necessary and sufficient optimality conditions for fractional multi-objective problems

Using a special scalarization, we give necessary optimality conditions for fractional multiobjective optimization problems. Under a generalized invexity, sufficient optimality conditions are also given. All over the article, the data are assumed to be continuous but not necessarily Lipschitz.     

Topology optimization of 3D shell structures with porous infill

This paper presents a 3D topology optimization approach for designing shell structures with a porous or void interior. It is shown that the resulting structures are significantly more robust towards load perturbations than completely solid structures optimized under the same condi-tions. The study indicates that the potential benefit of using porous structures is higher for lower total volume fractions. Compared to earlier work dealing with 2D topology opti-mization, we found several new effects in 3D problems. Most notably, the opportunity for designing closed shells signifi-cantly improves the performance of porous structures due to the sandwich effect. Furthermore, the paper introduces improved filter boundary conditions to ensure a completely uniform coating thickness at the design domain boundary.     

利用pGenesil-1.0构建人Dna2真核表达干扰载体

目的:构建人基因Dna2干扰(RNAi)的真核表达载体.方法:根据GenBank上人Dna2的cDNA序列设计并合成两条单链寡核苷酸,退火以后,插入质粒pGenesil-1.0多克隆位点的BamH I和Hind III之间进行重组,构建重组干扰载体,转化DH5α后测序鉴定出阳性菌株.重组质粒以脂质体法转染HeLa细胞,提取Dna2蛋白以免疫印迹法检验干扰效果.结果:设计的目的干扰序列5’-catagccagtagtattcgatg-3’可明显抑制Dna2在HeLa细胞的表达.结论:利用pGenesil-1.0构建的人Dna2干扰载体适用于该基因功能研究.     

多核优化网络内容监测类系统的创新应用研究

目前,互联网中充斥着大量不良信息,包括非法信息、色情信息和暴力信息等,这些不良信息通常以电子邮件、网页浏览、论坛发帖的形式进行传播.文章以自主研发的网络内容监测系统(IRCMS)为实例,分析了IRCMS存在的系统网络性能瓶颈问题,根据实际问题提出了一套IRCMS多核平台性能优化策略,经过实验研究发现,当有7个核心处理器同时进行计算时,网络内容监测系统的数据信息吞吐量可以达到优化之前的436.10%,真正提高了系统的网络性能.     

产生式与判别式分类方法比较研究

分类是数据挖掘领域研究的热点,产生式与判别式是数据挖掘中两种不同的分类模型。产生式模型具有通用性、灵活性及清晰的分层结构,学习得到的模型很容易满足模型解释要求;判别式模型没有明显的对系统中变量的基本分布建模的企图,仅仅对输入到输出之间映射的最优化感兴趣,可以提供更好的分类性能。从准确率、建模时间及渐进误差等方面对产生式与判别式分类方法进行了分析与比较,为研究人员在分类模型的选择上提供了参考。     

Local-in-time adjoint-based method for design optimization of unsteady flows

We present a new local-in-time discrete adjoint-based methodology for solving design optimization problems arising in unsteady aerodynamic applications. The new methodology circumvents storage requirements associated with the straightforward implementation of a global adjoint-based optimization method that stores the entire flow solution history for all time levels. This storage cost may quickly become prohibitive for large-scale applications. The key idea of the local-in-time method is to divide the entire time interval into several subintervals and to approximate the solution of the unsteady adjoint equations and the sensitivity derivative as a combination of the corresponding local quantities computed on each time subinterval. Since each subinterval contains relatively few time levels, the storage cost of the local-in-time method is much lower than that of the global methods, thus making the time-dependent adjoint optimization feasible for practical applications. Another attractive feature of the new technique is that the converged solution obtained with the local-in-time method is a local extremum of the original optimization problem. The new method carries no computational overhead as compared with the global implementation of adjoint-based methods. The paper presents a detailed comparison of the global- and local-in-time adjoint-based methods for design optimization problems governed by the unsteady compressible 2-D Euler equations.