加速基因方法在最大流量频率曲线参数估计中的应用

基因方法是基于自然选择和自然基因机制的并行随机自适应工程模型参数全局优化估计的通用数值方法。它不限制模型结构、优化准则、被估参数的数目、约束条件等，已开始广泛用于各种工程模型的优化设计之中。文中对它的原理、步骤、特点进行初步探讨，并针对基因方法的弱点，作者提出予以改进的加速基因方法，后者在最大流量频率曲线参数估计中得到成功应用     

Electrostatic actuation of three-dimensional MEMS mirrors using sidewall electrodes

We propose and demonstrate electrostatic sidewall-electrodes actuation of three-dimensional (3-D) microelectromechanical systems (MEMS) gimbal mirrors. The linearity of the mirror angle dependence on actuation voltage is improved with the sidewall-electrodes actuation. In addition, the undesired spring-softening effect commonly found in electrostatic actuation, where the mirror resonance frequency decreases with increased tilt angle, is significantly reduced. Sidewall actuation enables superior performance of 3-D MEMS mirrors including large pull-in angles, reduced actuation voltages, improved device reliability, and fast switching times.     

Characterization of PdAg/Al2O3 composite membrane by electroless co-deposition

In this work, PdAg/Al₂O₃ composite membranes prepared by electroless co-deposition technique have been studied. Effects of plating time, Ag composition and total concentration of metal ions on surface morphologies, composition and microstructure of the resulting layers were investigated. Scanning electron microscope, energy dispersive spectrometer and nitrogen permeation technique were used to characterize the as-prepared composite membranes. From the experimental results, it shows that the surface morphology of the deposited PdAg layer is strongly affected by the Ag content of the plating bath. Since large differences of deposition rates and growth modes are observed between Pd and Ag grains, the PdAg layer exhibits the dendritic structure. As the Ag content is approximately 50%, the dendritic structured PdAg layer reveals the largest nitrogen permeability with the smallest size of residual pores. Furthermore, a comprehensive electrochemical analysis is proposed to interpret the composition and structure of the PdAg layer. Eventually, the experimental results are quite consistent with those predicted from the electrochemical analysis.     

Calculating the elastic moduli of steel-fiber reinforced concrete using a dedicated empirical formula

The equivalent inclusion method (EIM) is adopted to study the characteristics of the equivalent material properties of steel-fiber reinforced concrete as a function of the volume fraction and the length to diameter ratio of the fibers. It is found that the equivalent material moduli of concrete reinforce with randomly orientated and distributed fibers are insensitive to the length to diameter ratio of the steel fibers. A set of empirical formulae is then proposed for the purposes of engineering applications. The proposed empirical model can simplify the calculation of the equivalent material moduli. Verifications of the proposed empirical formulae with the EIM model and with experimental data are performed with two examples. The first is a compression test. The second is 4 point bending test. The empirical formulae, based on the equivalent inclusion method proposed in this study, represent an alternative means of quickly calculating the effective elastic modulus of steel-fiber reinforced concrete materials.     

基于连续有序加权平均算子的区间组合预测

将连续的有序加权平均算子与诱导的有序加权平均算子相结合运用到区间组合预测问题中,首先定义了基于连续区间有序加权平均算子的区间预测相对误差、预测精度和非劣性组合预测等概念,其次以区间组合预测误差平方和为准则建立了基于连续区间有序加权平均算子的区间组合预测模型。在该模型下,进一步讨论了区间组合预测模型的性质和求解方法。最后给出了实例分析,表明该区间组合预测方法有效。     

碳、硅含量对重载车轮钢显微组织的影响

利用金相显微术、扫描电镜、透射电镜以及X射线衍射测量技术研究碳、硅含量对重载车轮钢显微组织的影响。结果表明:重载车轮钢的显微组织由珠光体和少量先共析铁素体组成,适当降低碳含量、增加硅含量不仅使珠光体含量减少,而且导致珠光体的片层间距增大;与珠光体团内层片状组织相比,珠光体团界处的渗碳体不再呈片状、而是以颗粒状不连续分布,同时渗碳体含量相对较少。     

基于虚拟仪器的差分功耗分析攻击平台

差分功耗分析攻击利用嵌入式加密系统功耗泄漏信号来获取加密系统密钥,将穷举问题转化为数据采集、处理问题.在对DES加密嵌入式系统攻击实验中,基于虚拟仪器的差分功耗分析平台令差分功耗分析攻击的数据采集过程由虚拟仪器应用程序控制进行,而后再对采集的功耗进行分析,能够快速、准确地找到加密系统密钥.较传统的穷举攻击而言,减少了消耗的时间和成本.     

Ultralow feeding gas flow guiding growth of large-scale horizontally aligned single-walled carbon nanotube arrays

On the basis of the rational analysis about the fluidic property of the system, an ultralow gas flow chemical vapor deposition (CVD) strategy was designed to prepare large-scale horizontally aligned ultralong single-walled carbon nanotube (SWNT) arrays. SWNT arrays could be well obtained under extremely low feeding flow of 1.5 sccm in a 1 in. quartz tube reactor. It was confirmed that the tubes grew floatingly and could cross microtrenches or climb over micro-obstacles in ultraslow gas flow. SWNTs arrays also could be formed no matter the substrate was placed vertically or upside down. The growth mechanism was discussed. Both the buoyancy effect induced by gas temperature/density difference and gas flow stability played dominant roles. More attractively, simultaneous batch-scale preparation of SWNT arrays was realized by the ultralow gas flow strategy. This new strategy turns to be more abstemious, efficient, promising, and flexible compared with the high gas flow rate fast-heating CVD processes.     

The integration of image segmentation maps using region and edgeinformation

We present an algorithm that integrates multiple region segmentation maps and edge maps. It operates independently of image sources and specific region-segmentation or edge-detection techniques. User-specified weights and the arbitrary mixing of region/edge maps are allowed. The integration algorithm enables multiple edge detection/region segmentation modules to work in parallel as front ends. The solution procedure consists of three steps. A maximum likelihood estimator provides initial solutions to the positions of edge pixels from various inputs. An iterative procedure using only local information (without edge tracing) then minimizes the contour curvature. Finally, regions are merged to guarantee that each region is large and compact. The channel-resolution width controls the spatial scope of the initial estimation and contour smoothing to facilitate multiscale processing. Experimental results are demonstrated using data from different types of sensors and processing techniques. The results show an improvement over individual inputs and a strong resemblance to human-generated segmentation