Ultra-Damping Composites Enhanced by Yolk–Shell Piezoelectric Damping Mechanism

High-performance damping materials are significant toward reducing vibration and maintaining stability for industrial applications. Herein, a yolk–shell piezoelectric damping mechanism is reported, which can enhance mechanical energy dissipation and improve damping capability. With the addition of yolk–shell particles and carbon nanotube (CNT) conductive network, damping properties of various resin matrices are enhanced with the energy dissipation path of mechanical to electrical to heat energy. Particularly, the peak loss factor of epoxy composites reaches 1.91 and tan δ area increases by 25.72% at 20 °C. The results prove the general applicability of yolk–shell piezoelectric damping mechanism. Besides, the novel damping materials also exhibit excellent flexibility, stretchability, and resilience, offering a promising application toward damping coating, indicating broad scope of application in transportation and sophisticated electronics, etc.     

基于深度神经网络的多指灵巧手抓取手势优化

基于深度神经网络模型,提出了一种适用于多指灵巧手的抓取手势优化方法。首先,在仿真环境下构建了一个抓取数据集,并在此基础上训练了一个卷积神经网络,依据目标物体单目视觉信息和多指灵巧手抓取位形来预测抓取质量函数,由此可以将多指灵巧手的抓取规划问题转化为使抓取质量最大化的优化问题,进一步,基于深度神经网络中的反向传播和梯度上升算法实现多指灵巧手抓取手势的迭代与优化。在仿真环境中,比较该网络和仿真平台对同一抓取位形的抓取质量评估结果,再利用所提出的优化方法对随机搜索到的初始手势进行优化,比较优化前后手势的力封闭指标。最后,在实际机器人平台上验证本文方法的优化效果,结果表明,本文方法对未知物体的抓取成功率在80%以上,对于失败的抓取,优化后成功的比例达到90%。     

阻尼累加离散GM(1,1)模型及其应用

基于阻尼累加生成算子和离散灰色预测模型的思想,提出一类新的阻尼累加离散GM (1,1)模型,并详细给出模型的推导过程,从理论上分析与经典GM (1,1)模型、离散GM (1,1)模型以及最近提出的阻尼累加GM (1,1)模型的关系,探讨模型的稳定性和数据适用类型分析,并利用量子粒子群优化算法计算出最优阻尼累加参数.最后将所提出模型应用于两个实际案例,结果表明所提出的阻尼累加离散GM (1,1)模型的拟合和预测误差均优于上述基准模型.     

基于自适应遗传学习粒子群算法的多无人机协同任务分配

研究救援场景下的多无人机协同任务分配问题,考虑幸存者所需援助类型的不同,建立更贴合实际的组合优化模型.针对该模型,提出一种自适应遗传学习粒子群算法(adaptive genetic learning particle swarm optimization, AGLPSO).首先,根据无人机与幸存者之间的救援关系,采用一种实向量编码机制处理决策变量约束,以简化模型求解.然后,通过两层级联结构提高算法搜索能力:第1层通过遗传学习策略生成高质量的精英粒子,并对进化停滞的粒子采用精英学习策略进行更新,以跳出局部最优;第2层利用精英粒子指导种群的搜索方向,并根据粒子群的进化速度和粒子的聚集程度,采用自适应进化策略提高算法在不同进化时期的寻优能力.仿真实验表明,所提出的AGLPSO算法能快速、有效地找到合理的救援分配方案.     

APPCorp: a corpus for Android privacy policy document structure analysis

With the increasing popularity of mobile devices and the wide adoption of mobile Apps, an increasing concern of privacy issues is raised. Privacy policy is identified as a proper medium to indicate the legal terms, such as the general data protection regulation (GDPR), and to bind legal agreement between service providers and users. However, privacy policies are usually long and vague for end users to read and understand. It is thus important to be able to automatically analyze the document structures of privacy policies to assist user understanding. In this work we create a manually labelled corpus containing 231 privacy policies (of more than 566,000 words and 7,748 annotated paragraphs). We benchmark our data corpus with 3 document classification models and achieve more than 82% on F1-score.     

InPBi薄膜材料的结构性能和光学性能研究

室温下,InPBi表现出强而宽的光致发光光谱,其宽光谱特性来自于材料中的PIn反位深能级和与Bi相关的深能级。该特性使得InPBi有希望应用于制备光学相干层析扫描系统中的超辐射光源。文章利用透射电子显微镜和三维原子探针研究了InPBi薄膜材料的结构性能,发现Bi原子在InPBi薄膜中的分布极不均匀,在InPBi/InP界面出现了Bi的富集区,从该区域沿[001]方向出现了Bi的纳米面,此纳米面位于(110)平面上。这种Bi原子的富集分布阻碍了PIn反位参与的载流子复合过程,对InPBi的光学性能有显著的影响。研究结果可为制造光学相干层析扫描系统的超辐射发光二极管提供一定的理论基础。     

A rare-earth spectral traceability anti-counterfeiting detection technology

In this paper, a rare-earth spectral traceability anti-counterfeiting detection technology is proposed. Configure rare-earth samples No.1, No.2 and No.3 with different doping ratios. The spectral signals of these three samples are collected and integrated into a sample library. The traceability anti-counterfeiting detection is to compare the spectral information of the samples to be tested with the established sample library by selecting specific wavelength points for light intensity values. If the sample to be measured meets the light intensity range of the established sample library at a specific wavelength point, the sample model will be output. If it does not meet the light intensity range, the sample to be tested is fake. After testing, the anti-counterfeit rate of samples No.1, No.2 and No.3 can reach 100%. This testing process does not destroy the sample, and the anti-counterfeit effect is unique and reliable.     

一种用于距离维复杂空变多普勒SAR成像的改进运动补偿方法

沿距离维复杂空变的多普勒对SAR成像质量有很大影响,常规的距离多普勒 (RD)算法处理结果容易出现明暗交替现象,图像可视性较差。通过在方位预滤波和方位脉冲压缩时,沿距离块/门估计或者计算多普勒频率,在方位预滤波和方位脉压时把窗函数根据多普勒频率沿方位移动,能有效解决明暗交替现象,但是这种处理方法无法改善距离近端或远端的聚焦效果。基于上述问题,该文提出一种改进的运动补偿方法,通过沿距离维分块进行运动补偿和走动校正,把沿距离空变的多普勒校直,然后进行方位脉压处理。所提方法处理结果没有明暗交替现象,图像沿距离维连续完整,可视性较好,同时在远离距离中心处还具有良好的聚焦效果。实测数据处理结果验证了该算法的有效性。     

Research and Implementation of Parallel Artificial Fish Swarm Algorithm Based on Ternary Optical Computer

Mobile Networks and Applications - Artificial fish swarm algorithm (AFS) is used in the field of function optimization problems widely. The traditional AFS algorithm has some problems such as long...