Controlling Au electrode patterns for simultaneously monitoring electrical actuation and shape recovery in shape memory polymer

This paper presents an effective approach to achieve efficient electrical actuation and monitoring of shape recovery based on patterned Au electrodes on shape memory polymer (SMP). The electrically responsive shape recovery behavior was characterized and monitored by the evolution change in electrical resistance of patterned Au electrode. Both electrical actuation and temperature distribution in the SMP have been improved by optimizing the Au electrode patterns. The electrically actuated shape recovery behavior and temperature evolution during the actuation were monitored and characterized. The resistance changes could be used to detect beginning/finishing points of the shape recovery. Therefore, the Au electrode not only significantly enhances the electrical actuation performance to achieve a fast electrical actuation, but also enables the resistance signal to detect the free recovery process.     

Electrochemically deposited Fe2O3 nanorods on carbon nanofibers for free-standing anodes of lithium-ion batteries

Fe₂O₃ nanorod/carbon nanofiber (CNF) composites were prepared by the electrochemical deposition of Fe₂O₃ on a web of CNFs, which was then used as a free-standing anode. The conductive, three-dimensional structure of the CNF web allowed for the electrodeposition of the Fe₂O₃ nanorods, while its high conductivity made it possible to use the composite as a free-standing electrode in lithium-ion batteries. In addition, it was easy and cheap to fabricate by a simplification of a process of cell preparation. The nanorod-like Fe₂O₃ structures could only be electrodeposited on the CNFs; flake-like Fe₂O₃ was formed on flat conductive glass substrates. It can be attributed to the different growth mechanism of Fe₂O₃ on the CNFs because of the large number of reaction sites on the CNFs, differences in the precursor concentration and diffusivity within the CNF web. The formation of aggregates of the Fe₂O₃ particles on thicker CNFs also indicated that the CNFs had determined the Fe₂O₃ growth mechanism. The synthesised Fe₂O₃/CNF composite electrode exhibited stable rate capacities at different current densities. This suggested that CNF-based composite did not exhibit the intrinsic disadvantages of Fe₂O₃. Finally, carbon coatings were deposited on the Fe₂O₃/CNF composites to further improve their electronic conductivity and rate capability.     

Stereo matching cost computation based on nonsubsampled contourlet transform

A new matching cost computation method based on nonsubsampled contourlet transform (NSCT) for stereo image matching is proposed in this paper. Firstly, stereo image is decomposed into high frequency sub-band images at different scales and along different directions by NSCT. Secondly, by utilizing coefficients in high frequency domain and grayscales in RGB color space, the computation model of weighted matching cost between two pixels is designed based on the gestalt laws. Lastly, two types of experiments are carried out with standard stereopairs in the Middlebury benchmark. One of the experiments is to confirm optimum values of NSCT scale and direction parameters, and the other is to compare proposed matching cost with nine known matching costs. Experimental results show that the optimum values of scale and direction parameters are respectively 2 and 3, and the matching accuracy of the proposed matching cost is twice higher than that of traditional NCC cost.     

Covariance matrix adaptation evolution strategy based design of fixed structure robust H∞ loop shaping controller

This paper proposes the application of Covariance Matrix Adaptation Evolution Strategy (CMA-ES) in fixed structure H_∞ loop shaping controller design. Integral Time Absolute Error (ITAE) performance requirement is incorporated as a constraint with an objective of maximization of stability margin in the fixed structure H_∞ loop shaping controller design problem. Pneumatic servo system, separating tower process and F18 fighter aircraft system are considered as test systems. The CMA-ES designed fixed structure H_∞ loop-shaping controller is compared with the traditional H_∞ loop shaping controller, non-smooth optimization and Heuristic Kalman Algorithm (HKA) based fixed structure H_∞ loop shaping controllers in terms of stability margin. 20% perturbation in the nominal plant is used to validate the robustness of the CMA-ES designed H_∞ loop shaping controller. The effect of Finite Word Length (FWL) is considered to show the implementation difficulties of controller in digital processors. Simulation results demonstrated that CMA-ES based fixed structure H_∞ loop shaping controller is suitable for real time implementation with good robust stability and performance.     

Use of the time constant to detect corrosion speed in reinforced concrete structures

The relatively simple to measure ‘time constant’ is presented as an index for characterizing the level of corrosion experienced by steel in concrete. This communication, largely in the form of a technical note, explicitly illustrates that the time constant determined from electrochemical testing has significant merit for monitoring corrosion of steel in concrete, and appears to be insensitive to the area of electrode being probed. In this work, the time constant, κ, is determined following a galvanostatic excitation signal, revealing a good correlation between the value of κ and corrosion status across specimens of widely varying geometry. Although this notion has been suggested in the past, this work presents both a survey and consolidated review to indicate the utility of the parameter as an index to corrosion rate on-site.     

自适应变异粒子群优化算法及在新冠肺炎疫情传播预测中的应用

为克服粒子群算法容易陷入局部最优和全局寻优精度不高的缺点,通过对算法的局部寻优和全局寻优的特点进行分析,首先使用正态分布衰减策略改进惯性权重;同时基于算法运行的时间自适应采用不同的基于高斯分布及柯西分布的变异优化策略,解决全局搜索和局部开发能力的不平衡问题,实现了局部寻优和全局寻优的双重优化,满足了提高寻优速度和寻优精度的目的.为验证算法有效性及实用性,将改进算法用于预测新冠肺炎疫情传播情况.选取100天新冠肺炎疫情每日新确诊人数的数据,利用算法优化前馈神经网络的参数,使训练好的神经网络模型预测新冠肺炎疫情的性能提升.实验部分首先使用测试函数将改进的算法与其它五种算法进行对比,验证算法的良好性能,最后应用到神经网络完成新冠肺炎疫情传播预测.     

基于多尺度注意力网络的立体匹配方法

为解决网络深度与训练图像块大小耦合问题及进一步提高弱纹理区域及边缘处的匹配精度,提出了一种基于多尺度注意力网络的立体匹配方法.该方法将立体匹配过程分为2个阶段：第1阶段提出了一种成本网络用于计算匹配成本,该网络由基础网络层和缩放层组成.第2阶段提出了一种基于多尺度注意力的视差求精网络,该视差求精网络综合了多种视差线索,并加入多尺度注意力机制进一步提高立体匹配精度.该方法在KITTI 2012、KITTI 2015和SceneFlow数据集上的3像素坏点百分比分别为1.13%,1.87%和2.29%.实验结果表明,与国内外同类方法相比,采用多尺度注意力网络的立体匹配方法在匹配精度上获得了较大的提升,尤其是在弱纹理区域及物体边缘处表现较好.     

4-酰基吡唑啉酮配合物的合成方法与结构

综述了4-酰基吡唑啉酮及其配合物的合成方法和结构特征,介绍了非水溶剂法、水相合成法、固相合成法等合成方法适用的体系。分析评价了4-酰基吡唑啉酮以烯醇双氧、共轭双酮氧参与中心离子包含主族金属元素、副族金属元素、稀土金属元素等配位成键,形成6配位、8配位、单核、双核和多核配合物的结构关系。     

Pr^3＋掺杂的TiO2纳米粉体的表面特性和光催化活性

利用酸催化的溶胶-凝胶法制备了纯的和不同Pr^3＋掺杂量的TiO2纳米粉体．以亚甲基蓝（MB）溶液的光催化降解为探针反应，评价了它们的光催化活性．利用XRD和BET技术研究了Pr^3＋掺杂量和焙烧温度对TiO2纳米粉体的相结构、晶粒尺寸和表面织构特性的影响，并用XPS和SPS技术研究了Pr^3＋掺杂的TiO2纳米粉体的表面组成和表面光伏特性，探讨了Pr^3＋掺杂提高纳米TiO2的光催化活性的机制．结果表明：适量Pr^3＋掺杂能显著提高纳米TiO2的光催化活性．当Pr^3＋掺杂量为1．25％（以Pr^3＋／TiO2质量比计），焙烧温度为600℃时，制得粉体的光催化活性最佳．Pr^3＋掺杂强烈地抑制TiO2由锐钛矿相向金红石相的转变，减小晶粒尺寸，增大比表面积，增加表面羟基和吸附氧的含量，提高光生电子和空穴的分离效率，改善粉体表面的光吸收性能，上述因素均有利于光催化活性的提高．