Memristor-based genetic algorithm for image restoration

This paper explores a way of deploying the classical algorithm named genetic algorithm (GA) with the memristor. The memristor is a type of circuit device with both characteristics of storage and computing, which provides the similarity between electronic devices and biological components, such as neurons, and the structure of the memristor-based array is similar to that of chromosomes in genetics. Besides, it provides the similarity to the image gray-value matrix that can be applied to image restoration with GA. Thus, memristor-based GA is proposed and the experiment about image restoration using memristor-based GA is carried out in this paper. And parameters, such as the size of initial population and the number of iterations, are also set different values in the experiment, which demonstrates the feasibility of implementing GA with memristors.¹     

运动模糊图像PSF参数估计方法改进及图像复原

运动模糊图像复原的目的是改善运动图像质量,从而为图像处理任务提供高质量的清晰图像以保证算法能够准确获取图像信息,其中运动模糊图像的点扩散函数（PSF）求解是影响复原图像质量的关键步骤。针对现有运动模糊图像PSF参数估计方法中存在的估计误差大、有效估计范围有限等问题,在分析频谱图像特征的基础上,提出一种改进的PSF参数估计方法。通过图像增强处理和形态学变换去除频谱图像中的十字亮线和噪点干扰,获取形态合适的条纹图像以完成Radon变换检测。利用二值频谱图像的条纹特征自适应地控制形态学运算精度,从而保证算法的执行效率和鲁棒性。对条纹进行边缘测定,消除由条纹自身宽度导致的角度估计误差,以提高参数估计结果的精度。实验结果表明,该方法能够提高模糊参数估计的准确率和有效估计范围,由此构建的PSF能复原出更加清晰的重建图像,复原图像总体峰值信噪比不低于25 dB。     

基于径向曲线与支持向量回归的颅骨修复方法

颅骨修复技术是对有缺损的颅骨补全对应的缺损部分,进而实现颅骨形状的完整性。针对高维颅骨数据,采用径向曲线来表示颅骨几何特征,结合最小二乘支持向量回归的方法构建颅骨修复模型。提取完整的三维颅骨模型的径向曲线,将其分为已有径向曲线和缺失径向曲线两部分作为训练样本,采用最小二乘支持向量回归统计模型复原出待修复颅骨的缺失径向曲线,进而合并生成待修复颅骨的完整径向曲线,通过迭代最近点算法将合并的颅骨径向曲线与颅骨统计模型进行匹配生成完整的三维颅骨模型。实验结果表明,该方法的平均误差达到6.834×10^-3,比主成分分析方法降低2.90倍,具有更好的修复效果。     

基于循环生成对抗网络的含遮挡人脸识别

人脸图像的遮挡会严重影响人脸识别准确率,当前处理带遮挡人脸识别的方法主要有丢弃法和修复法两种。丢弃法因忽略或丢弃大量遮挡区域的有效特征易造成识别准确率不高,而当前大多数修复法需要原图的相关信息,限制了其应用。针对现有含遮挡人脸识别方法存在的问题,提出一种基于循环生成对抗网络的人脸识别算法,通过利用2对生成器和判别器进行循环训练,实现遮挡人脸图像的盲修复,此过程不需要除遮挡区域外的原图信息。在此基础上,采用ResNet-50网络对修复后人脸进行识别,该网络通过跳跃连接消除深层卷积神经网络中的网络退化问题,能够降低网络训练的难度,且不会增加额外的参数和计算量。针对盲修复后人脸特征存在类内差异大和类间差异小的特性,引入一种能够量化类间距离的分类损失函数RegularFace作为识别网络损失函数。实验结果表明,与DCGAN+CNN算法相比,所提算法对不同遮挡类型和遮挡区域的人脸图像识别准确率均有所提高,当线性遮挡面积为40%时,所提算法的识别准确率提高了14.4个百分点。     

我国石油天然气管材再制造发展战略研究

管材作为石油天然气勘探、开采、运输的重要材料,由于腐蚀、磨损、结垢造成的管材失效,而被大量废弃,在油田堆积如山,造成了巨大的资源浪费和环境污染。本文分析石油天然气废旧管材的处理现状及存在的问题,利用先进的再制造技术对管材再制造的经济效益、社会效益和环境效益进行了论证,提出自主创新的石油天然气管材再制造产业模式及发展建议,为我国石油天然气行业降本增效和节能减排目标的实现提供新理念、新技术,为促进石油天然气行业循环经济的建设提供决策建议。     

我国再制造产业及其发展战略

再制造是制造业产业链的延伸,属于先进制造和绿色制造的范畴,《中国制造2025》提出要"大力发展再制造产业,实施高端再制造、智能再制造、在役再制造"。当前,我国再制造试点企业数量和再制造产品种类不断增加,再制造政策法规、基础理论、关键技术、行业标准得到不断创新完善。未来,再制造工程将向"绿色、优质、高效、智能、服务"五大方向发展,重点突破若干再制造核心关键技术,完善多个支撑体系,形成一批再制造领军产业。     

Dehazing of remote sensing images using improved restoration model based dark channel prior

Haze degrades visual information of remotely sensed images. Therefore, haze removal is a demanding and significant task for visual multispectral information improvement. The existing haze removal techniques utilize different restrictions and before restoring hazy images in an efficient manner. The review of existing haze removal methods demonstrates that the haze-free images suffer from colour distortion and halo artefacts problems. To solve these issues, an improved restoration model based dark channel prior is proposed in this paper. The proposed technique has redefined transmission map, with the aim to reduce the colour distortion problem. The modified joint trilateral filter is also utilized to improve the coarse estimated atmospheric veil. The experimental results reveal that the proposed approach provides visually significant haze-free images and also preserves the significant detail.     

Phase Separation Derived Core/Shell Structured Cu11V6O26/V2O5 Microspheres: First Synthesis and Excellent Lithium‐Ion Anode Performance with Outstanding Capacity Self‐Restoration

Novel amorphous vanadium oxide coated copper vanadium oxide (Cu₁₁V₆O₂₆/V₂O₅) microspheres with 3D hierarchical architecture have been successfully prepared via a microwave‐assisted solution method and subsequent annealing induced phase separation process. Pure Cu₁₁V₆O₂₆ microspheres without V₂O₅ coating are also obtained by an H₂O₂ solution dissolving treatment. When evaluated as an anode material for lithium‐ion batteries (LIBs), the as‐synthesized hybrid exhibits large reversible capacity, excellent rate capability, and outstanding capacity self‐recovery. Under the condition of high current density of 1 A g^?1, the 3D hierarchical Cu₁₁V₆O₂₆/V₂O₅ hybrid maintains a reversible capacity of ≈1110 mA h g^?1. Combined electrochemical analysis and high‐resolution transmission electron microscopy observation during cycling reveals that the amorphous V₂O₅ coating plays an important role on enhancing the electrochemical performances and capacity self‐recovery, which provides an active amorphous protective layer and abundant grain interfaces for efficient inserting and extracting of Li‐ion. As a result, this new copper vanadium oxide hybrid is proposed as a promising anode material for LIBs.     

Joint decision of product configuration and remanufacturing for product family design

Product family design (PFD) is a popular method for increasing product variety to satisfy the needs of diversified markets. With the increasing concern for environmental friendliness in society, more and more companies develop launching remanufactured products and include them in their product families. Therefore, PFD should be considered in a broad decision space where configuration of product variants and remanufacturing are considered simultaneously. However, this issue was not addressed properly in previous research. In this paper, a methodology for joint decision of product configuration and remanufacturing is proposed in which a bi-objective mixed integer programming model is formulated to determine the configurations of both new and remanufactured products for minimising product cost, maximising total market share, and satisfying reliability requirements. Then, Non-dominated Sorting Genetic Algorithm II (NSGAII) is adopted to solve the optimization problem. Computational experiments were conducted and their results show that NSGAII is convergent to the model well. A case study is presented to illustrate the applicability and effectiveness of the proposed methodology.     

电脑机箱创意改造设计

目的研究市场上现有的民用机箱,以此为参照对象进行创新,从而改良现有电脑机箱空间浪费和不能自选配置的问题,同时增强消费者的购买欲。方法对机箱进行TRIZ理论分析,找出机箱设计冲突,如机箱空间浪费和用户不能自主配置的问题。根据现有的冲突,在TRIZ理论中找出对应的3个解决原理,分别为分割原理、动态化原理、抛弃与修复原理,用以解决电脑机箱存在的问题。结论通过运用TRIZ理论,提出舍弃被用户淘汰不用的组件位置,分割机箱功能组件,从而使机箱模块化、动态化的改进方案,同时设计出一款可拆卸拼装、利于维修、满足用户需求的创新型机箱。在节省机箱空间的前提下,改变传统机箱在拼装后固有的静止状态,使机箱实现模块化、动态化的自主拼装。