多尺度分析用于图像边缘的精确检测

图像中边缘往往存在于一个较宽的尺度范围内，边缘的定位精确性是衡量一个边缘检测算法性能的重要依据。众多算法中，引起较大关注的是M—H的二阶导数过零点检测和Canny的一阶导数最大值检测，但都存在各自的不足。本文提出将线性权重函数(LWF)作为平滑函数，并利用小波理论的多尺度分析方法，对图像边缘进行检测，其在定位精确性、噪声抑制能力方面均有较好性能。     

基于各向异性MRF建模的多帧图像 变分超分辨率重建

 本文首先研究设计出结构自适应的各向异性数字滤波器,同时导出广义各向异性MRF(Markov Random Field)图像模型.它继承了各向异性数字滤波器的滤波性能,是对双边全变差模型以及经典 MRF模型的有效改进.随后,提出各向异性模型驱动的联合估计亚像素运动和高分辨率图像的变分超分辨率重建算法.实验结果显示,本文算法具有更优的噪声抑制和边缘保持性能.     

应用分层MRF/GRF模型的立体图像视差估计及分割

视差估计与分割是立体图像编码及立体视觉匹配的核心问题,本文提出一种基于分层MRF/GRF模型和交叠块匹配(HMOM)视差估计算法以及结合主动轮廓模型的视差分割提取算法.该混合视差估计方法,可得到光滑准确,且具有清晰边缘的视差场;并便于用主动轮廓模型提取感兴趣对象(OOI)的视差轮廓.与通常的变尺寸块匹配(VSBM)相比,本算法得到的视差补偿图像的峰值信噪比可提高2.5dB左右.本文得到的视差场及对应的轮廓可进一步用于立体图像编码以及视频对象分割.     

基于磁流变液减振器的车辆悬挂半主动控制

磁流变液减振器,通过线圈电流改变磁场调节磁流变液在阻尼通道中的流动,实现对减振器阻尼力的控制.车辆悬挂系统由弹性元件、导向元件和减振器组成.基于磁流变液阻尼器的车辆悬挂半主动控制,采用二自由度1/4车体模型构建控制器模型.通过二次型最优控制LQR算法,根据极值原理导出最优控制律,以确定半主动减振器驱动器控制力.仿真表明,该控制器具有较好的稳定性和良好的减振效果.     

基于MRF24J40的IEEE802．15．4无线收发电路设计

采用MRF24J40构成的IEEE802.15.4无线收发器电路,为IEEE802.5.15.4MAC和PHY物理层提供硬件层,支持MiWiTM、ZigBee协议和其他协议,工作在2.405~2.48 GHz ISM频段,接收灵敏度为-91 dBm,发射输出功率为 0 dBm,发射功率控制范围为38.75 dB,电源电压范围为2.4~3.6 V,睡眠模式电流消耗为2μA。采用4线式SPI与微控制器接口,适合家居自动化、工业自动化等低数据速率传输的应用。     

Refractory interphase and its role on the mechanical properties of boron containing nacre-like ceramic

Bioinspired ceramics based on the nacreous part of the mother-of-pearl microstructure have been developed in recent years to produce materials with high mechanical performance. Although significant advances in terms of simplicity and scalability of the synthesis process have been achieved, the reasons behind the improvement of the mechanical properties remains to be pinpointed. Recently, the development of boron containing nacre-like refractories have offered new insights into the relationship between the interphase composition and the performance increase of nacre-like materials. Based on those achievements, this paper presents a multiscale analysis to evaluate the role of the refractory interphase on the mechanical properties of the nacre-like refractories. The results demonstrate the presence of increased residual stresses and adhesion between the alumina platelets induced by the aluminium borate second phase when compared to composition without secondary phase. These new findings provide additional information towards a better design and fabrication of high-performance nacre-like refractories.     

Damage mapping with a degrading elastic modulus using piezospectroscopic coatings

The development of piezospectroscopic (PS) composites has enabled the creation of a non-destructive evaluation (NDE) technique which integrates piezospectroscopy, digital image correlation (DIC) and analytical multi-scale mechanics to map the elastic modulus of a coated material. The measured elastic modulus was represented as a normal distribution with a mean value (32.2 GPa) which is within 8% of the conventionally recorded modulus (35 GPa). Damage mechanics are applied to map elastic degradation in situ mechanical loading with an average uncertainty (~10 GPa) that was sufficient in observing subsurface, progressive damage patterns which are unique to the coated material.     

Constructing the high-areal-capacity,solid-state Li polymer battery via the multiscale ion transport pathway design

The parasitic Li dendrite formation and retarded ion diffusion dynamics inhibit the deployment of solid-state batteries (SSBs) at high areal capacity loadings. Here, we present the modular design of the Li⁺ percolating network by grafting the ionic-conductive polyether amine (PEA) at the multiple scales: the PEA modified zinc hydroxystannate (PEA@ZHS) (flame retardant units) and polyamide 6 (mechanical rigid units) are coherently introduced to optimize the PEO-based solid electrolyte (PX-PEA@ZHS) with the Young's modulus (3.41 GPa), ionic conductivity (4.29 × 10⁻⁴ S cm⁻¹ at 55 °C) and flame retardancy (22% reduction of heat release rate); on the other hand, PEA molecules are grafted onto the acetylene black additive to establish the dual conductive network, endowing two orders of magnitude increase of ionic conductivity for the high-compaction cathodes. The as-integrated symmetric cell exhibits a critical current density up to 0.8 mA cm⁻² and cycling endurance for 1000 h at 0.2 mA cm⁻²; upon the SSBs assembly with the record high loading of LiFePO₄ (12.4 mg cm⁻²), the high-areal-capacity, cycling stability as well as the extreme temperature endurance till 110 °C are simultaneously realized, which inspire the rational design of commercially feasible, energy-dense, flame-resistance energy storage prototype.     

Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters

We propose a stochastic multiscale method to quantify the correlated key-input parameters influencing the mechanical properties of polymer nanocomposites (PNCs). The variations of parameters at nano-, micro-, meso- and macro-scales are connected by a hierarchical multiscale approach. The first-order and total-effect sensitivity indices are determined first. The input parameters include the single-walled carbon nanotube (SWNT) length, the SWNT waviness, the agglomeration and volume fraction of SWNTs. Stochastic methods consistently predict that the key parameters for the Young’s modulus of the composite are the volume fraction followed by the averaged longitudinal modulus of equivalent fiber (EF), the SWNT length, and the averaged transverse modulus of the EF, respectively. The averaged longitudinal modulus of the EF is estimated to be the most important parameter with respect to the Poisson’s ratio followed by the volume fraction, the SWNT length, and the averaged transverse modulus of the EF, respectively. On the other hand, the agglomeration parameters have insignificant effect on both Young’s modulus and Poisson’s ratio compared to other parameters. The sensitivity analysis (SA) also reveals the correlation between the input parameters and its effect on the mechanical properties.     

A residual-free bubble formulation for nonlinear elliptic problems with oscillatory coefficients

We present an investigation of the Residual-Free Bubble (RFB) finite element method for a class of multiscale nonlinear elliptic partial differential equations. After proposing a nonlinear version for the method, we address fundamental questions as existence and uniqueness of solutions. We also obtain a best approximation result and investigate possible linearizations that generate different versions for the method. All estimates are independent of eventual oscillations in the coefficients, and as far as we are aware, this is the first time that an analysis for the nonlinear RFB method is considered.