Structure and electrical properties of Ca2+-doped (Na0.47Bi0.47Ba0.06)TiO3 lead-free piezoelectric ceramics

The lead-free piezoelectric ceramics (Na_.47Bi_.47Ba_.06)_1-xCa_xTiO₃ (x?=?0, 0.01, 0.02, 0.03, 0.05, and 0.08, abbreviated as BNBTC/0, BNBTC/1, BNBTC/2, BNBTC/3, BNBTC/5, and BNBTC/8, respectively) were obtained using the solid-state reaction method. The structure, electric conductivity, and dielectric, ferroelectric, and piezoelectric properties of the Ca²⁺-doped (Na_.47Bi_.47Ba_.06)TiO₃ ceramics were thoroughly investigated. The ceramics sintered at 1200?°C exhibit dense microstructures, having relative densities higher than 96%. The X-ray diffraction results demonstrate that all ceramics have a pure perovskite structure. The mean grain sizes of the ceramics are related to the Ca²⁺ quantity. A small quantity of Ca²⁺ ions (x?≤?0.03) improves the piezoelectric and ferroelectric properties of the samples. The dielectric behavior of the samples is sensitive to the Ca²⁺ content and electric poling. The results demonstrate that the electrical properties of the (Na_.47Bi_.47Ba_.06)TiO₃ lead-free ceramics can be well tuned by varying the Ca²⁺ quantity.     

Biogeography-based optimization with improved migration operator and self-adaptive clear duplicate operator

Biogeography-based optimization (BBO) is a new emerging population-based algorithm that has been shown to be competitive with other evolutionary algorithms. However, there are some insufficiencies in solving complex problems, such as poor population diversity and slow convergence speed in the later stage. To overcome these shortcomings, we propose an improved BBO (IBBO) algorithm integrating a new improved migration operator, Gaussian mutation operator, and self-adaptive clear duplicate operator. The improved migration operator simultaneously adopts more information from other habitats, maintains population diversity, and preserves exploitation ability. The self-adaptive clear duplicate operator can clear duplicate or almost identical habitats, while also preserving population diversity through a self-adaptation threshold within the evolution process. Simulation results and comparisons from the experimental tests conducted on 23 benchmark functions show that IBBO achieves excellent performance in solving complex problems compared with other variants of the BBO algorithm and other evolutionary algorithms. The performance of the improved migration operator is also discussed.     

无线传感器网络与以太网络帧结构转换

对下一代有线数字电视传送网络用户端以太数据帧,与家庭无线传感器网络数据帧相互转换进行了研究。相互转换的关键网元是汇聚节点sink,合理设计以太网侧数据帧结构,配置有线侧与无线侧帧结构比例,设计转换算法,有效完成了在sink节点上无线传感器网络与以太网络的数据帧结构转换。     

面向深度学习的对抗样本差异性检测方法

深度神经网络（DNN）在许多深度学习关键系统如人脸识别、智能驾驶中被证明容易受到对抗样本攻击,而对多种类对抗样本的检测还存在着检测不充分以及检测效率低的问题,为此,提出一种面向深度学习模型的对抗样本差异性检测方法。首先,构建工业化生产中常用的残差神经网络模型作为对抗样本生成与检测系统的模型;然后,利用多种对抗攻击攻击深度学习模型以产生对抗样本组;最终,构建样本差异性检测系统,包含置信度检测、感知度检测及抗干扰度检测三个子检测系统共7项检测方法。在MNIST与Cifar-10数据集上的实验结果表明,属于不同对抗攻击的对抗样本在置信度、感知度、抗干扰度等各项性能检测上存在明显差异,如感知度各项指标优异的对抗样本在置信度以及抗干扰度的检测中,相较于其他类的对抗样本表现出明显不足;同时,证明了在两个数据集上呈现出差异的一致性。通过运用该检测方法,能有效提升模型对对抗样本检测的全面性与多样性。     

结合边缘信息和门卷积的人脸修复算法

针对任意形状遮挡下人脸修复,现有方法容易产生边缘模糊和恢复结果失真等问题。提出了一种结合边缘信息和门卷积的人脸修复算法。首先,通过先验人脸知识产生遮挡区域的边缘图,以约束人脸修复过程。其次,利用门卷积在部分像素缺失下的精确局部特征描述能力,设计面向图像修复的门卷积深度生成对抗网络(GAN)。该模型由边缘连接生成对抗网络和图像修复生成对抗网络两部分组成。边缘连接网络利用二值遮挡图和待修复图像及其边缘图的多源信息进行训练,实现对缺失边缘图像的自动补全和连接。图像修复网络以补全的边缘图为引导信息,联合遮挡图像进行缺失区域修复。实验结果表明:相比其他算法,该算法修复效果更好,其评价指标比当前基于深度学习的图像修复算法更优。     

Characterization of microwave and terahertz dielectric properties of single crystal La2Ti2O7 along one single direction

New generation wireless communication systems require characterisations of dielectric permittivity and loss tangent at microwave and terahertz bands. La₂Ti₂O₇ is a candidate material for microwave application. However, all the reported microwave dielectric data are average value from different directions of a single crystal, which could not reflect its anisotropic nature due to the layered crystal structure. Its dielectric properties at the microwave and terahertz bands in a single crystallographic direction have rarely been reported. In this work, a single crystal ferroelectric La₂Ti₂O₇ was prepared by floating zone method and its dielectric properties were characterized from 1 kHz to 1 THz along one single direction. The decrease in dielectric permittivity with increasing frequency is related to dielectric relaxation from radio frequency to microwave then to terahertz band. The capability of characterizing anisotropic dielectric properties of a single crystal in this work opens the feasibility for its microwave and terahertz applications.     

A new order relation on fuzzy soft sets and its application

In this paper, a new order relation on fuzzy soft sets, called soft information order, is introduced and its application to decision-making is investigated. It is shown that the collection of all fuzzy soft sets (over a given universe set), equipped with this new order, forms a complete Heyting algebra. The representation theorem of fuzzy soft sets with respect to the soft information order is also obtained. We initiate the concepts of soft set satisfaction problems and their solutions. An algorithm is presented to solve such decision-making problems.     

一种实时语声控制器的设计与实现

针对ANALOG DEVICES公司的数字信号处理芯片ADSP2181,给出一种实现实时语声控制器的方法.详细描述ITU-T G.728语声信号的能量的计算和软件设计方法.     

TH-UWB系统中基于自适应算法的接收机研究

提出了一种适用于跳时超宽带(TH-UWB)系统中的RAKE接收机方案。该方法利用基于梯度的可变遗忘因子的改进递推最小二乘(RLS)算法进行信道估计,并与基于经典RLS算法和基于最大似然概率(ML)算法的接收机方案进行对比。结果表明,这种新型RAKE接收机方案能够更有效地跟踪时变衰落信道的变化;在相同条件下,该方案能够提高系统性能,获得更小的误码率(BER)。     

RIS辅助卫星物联网中基于压缩感知的SCMA信号重构

卫星物联网是未来6G网络重要组成部分,在地面部署可重构智能反射面（Reconfigurable Intelligence Surface, RIS）则能进一步增强天地之间信号的传输能力;然而海量设备的接入和检测,以及RIS的引入带来的较高复杂度,给系统设计与实现带来挑战。针对卫星物联网设备和业务稀疏特性,本文提出了一种基于压缩感知的信号重构算法,旨在提高系统的接入用户数和检测成功率,同时降低检测的复杂度。首先,介绍了RIS辅助的卫星物联网系统架构,构建了天地信道模型和星上接收信号模型。然后考虑到卫星物联网地面终端的稀疏性和业务的稀疏性,结合稀疏码分多址（Sparse Code Multiple Access,SCMA）和压缩感知的信号处理方法,通过合理设计SCMA中的稀疏码字,将多用户检测转化为压缩感知理论中的信号重构。最后提出了一种演进的近似消息传播算法（Evolved Approximate Message-Passing,EAMP）来实现压缩感知中的信号重构。仿真结果表明,RIS辅助的SCMA系统与功率域的非正交多址接入技术相比可以提高系统的吞吐量性能,同时EAMP算法相比传统的SIC算法具有更高的正确检测概率和更低的算法复杂度。