GaAs/AlGaAs多量子阱材料差分反射光谱

介绍了一种新型的空间调制光谱技术—差分反射 ( DR)光谱技术 .利用振动光束差分反射测试系统 ,获得了 Ga As/Al Ga As多量子阱材料的 DR谱 ,初步分析了 DR信号的产生机制 .通过与材料的 PR谱及反射光谱的一阶微商谱比较分析 ,论证了 DR光谱技术用于多量子阱量子化跃迁观测的理论可行性 ,并从实验角度证明了 Ga As/Al Ga As多量子阱材料的 DR谱具有反射率谱对能量的一阶微商线型特征     

光纤量子密钥分发系统中密钥传输率和误码率的研究

通过理论分析和计算,研究了光纤损耗、色散和单光子探测器暗计数等因素对量子密钥分发系统密钥传输率和误码率的影响.研究表明,光纤损耗是影响密钥传输率的主要因素.而量子比特误码率则与光纤损耗、色散、脉冲宽度、单光子探测器暗计数以及瑞利反向散射等因素有关.在实验中,应尽量降低光纤损耗、色散和单光子探测器的暗计数,同时选择适当的初始脉宽,从而提高密钥传输率并降低误码率,进而提高量子密钥分发系统的传输距离.     

半盲最小二乘恒模算法研究

恒模算法(CMA)是一种广泛应用于阵列处理、均衡、多用户检测中的盲算法.最小二乘恒模算法(LSCMA)由于其全局收敛性及稳定性受到关注.本文针对CDMA系统下行链路,基站知道小区内用户码字而小区外干扰用户码字未知的情形,提出一种适用的半盲LSCM多用户检测(MuD)算法.它将非盲多用户检测(本文中选用解相关MUD)与盲多用户检测技术(本文中选用LSCM检测器)相结合,首先根据小区内已知用户的信息,利用解相关MUD抵消小区内其它用户的干扰,接着利用LSCM算法抵消剩余的干扰.文中将SB-LSCM算法与已经提出的半盲解相关算法、LSCM算法和解相关算法进行了复杂度、SIR和BER性能的比较,并对SB-LSCM算法的SIR性能进行了理论分析.仿真结果表明SB-LSCM算法能够获得与半盲解相关相当的SIR的性能,但是其复杂度更低且在系统负荷大时能够获得优于半盲解相关算法的BER性能.另外,SB-SLCM算法能够获得较LSCM算法更快的收敛速度以及更加优良的性能.     

IMS网络的消息路由

IMS作为下一代网络核心方案,已经在运营商层面开始大范围部署.相较于之前的固网软交换和移动软交换而言,新的网络架构中网元的种类和数量都发生了巨大的变化.由于在IMS网络中主要应用到SIP消息,网元之间SIP消息的路由就成了我们关心的一个关键问题.详细介绍了IMS网络中的SIP路由.     

用于布里渊分布式光纤传感的光学锁频系统

报道了一种用于布里渊分布式光纤传感器(DOFS)的高稳定光学锁频系统。一台波长为1550nm的半导体分布反馈(DFB)激光器作为主激光器用于光纤传感探测,另一台同样的激光器作为从激光器,采用光学锁相的方法将其与主激光器进行频率跟踪,使主激光器与从激光器频率差恒定为11GHz。利用该光源搭建基于自发布里渊的分布式光纤传感系统(BOTDR),可以有效地实现宽带移频,使得探测解调频率降低到百兆赫兹量级,大大降低了探测的噪声,并且降低了BOTDR系统成本。结果表明,采用此光源方案的频率波动范围为±1MHz。     

一种可免用光隔离器的抗反射同轴激光器TO-CAN

文章提出了一种不用光隔离器即可提高器件抗反射性能的抗反射同轴激光器TO-CAN(晶体管外形封装), 该TO-CAN集成了半导体激光器的电/光信号转换功能和抗反射功能,采用现有的贴片工艺和粘胶工艺,通过在底座TO-Header(晶体管外形头)上面安装激光器芯片、偏振片和λ/4波片而制成,理论分析和实验结果都验证了该方案的有效性和实用性.     

基于级联自适应陷波器的正弦波频率估计

常用的传统和现代方法对于噪声环境中正弦信号的频率估计均存在一定的缺陷。本文利用二阶陷波器级联构造自适应陷波器,实现对多个信号频率的估计;采用递推误差信号和递推最小二乘法同时优化各个二阶陷波器的参数。仿真结果表明,该方法对于单频、多频和频率变化等情况均具有较好的估计结果,且对于噪声干扰具有较强的鲁棒性。     

AccFed:物联网中基于模型分割的联邦学习加速

随着物联网(IoT)的快速发展,人工智能(AI)与边缘计算(EC)的深度融合形成了边缘智能(Edge AI)。但由于IoT设备计算与通信资源有限,并且这些设备通常具有隐私保护的需求,那么在保护隐私的同时,如何加速Edge AI仍然是一个挑战。联邦学习(FL)作为一种新兴的分布式学习范式,在隐私保护和提升模型性能等方面,具有巨大的潜力,但是通信及本地训练效率低。为了解决上述难题,该文提出一种FL加速框架AccFed。首先,根据网络状态的不同,提出一种基于模型分割的端边云协同训练算法,加速FL本地训练;然后,设计一种多轮迭代再聚合的模型聚合算法,加速FL聚合;最后实验结果表明,AccFed在训练精度、收敛速度、训练时间等方面均优于对照组。     

A Boronate Ester Driven Rechargeable Antibacterial Membrane for Fast Molecular Sieving

Membrane decorated with biocides is an effective way to suppress biofilm growth. However, their immediate biocidal effect usually suffers from a significant decline due to the irreversible consumption of the biocides. Here, a smart nanofiltration membrane is reported with rechargeable antibacterial capability that is fabricated by a facile interfacial polymerization via 3-aminophenylboronic acid and trimesoyl chloride on a polysulfone substrate. Biocides bearing diol groups can be grafted onto the membrane surface under neutral/alkaline condition and then released from the surface under acidic environment, due to the pH-responsive feature of boronate ester complexes. The resultant membrane exhibits integrated properties of fast bacterial inactivating efficiency, rechargeable antibacterial capability, and impressive stability. In addition, the achieved membrane shows remarkable separation efficiency to dye/monovalent salt system. The successful fabrication of the membrane with rechargeable anti-bacterial property provides new insights into the development of pH-responsive and sustainable antibacterial membranes.     

Three-dimensional scan-based algorithm for directional neighbor discovery in ad hoc networks

In recent years, neighbor discovery techniques using directional antennas have attracted widespread attention. Most currently available directional neighbor discovery techniques are designed based on two-dimensional (2D) space. Although these algorithms can accomplish the discovery between nodes, the algorithm portability is poor for three-dimensional (3D) platforms, and the application scenarios are limited since new communication scenarios such as unmanned aerial vehicle (UAV) groups and maritime fleets emerge where information needs to be delivered in real time and nodes are located in 3D space. This paper proposes a new deterministic directional neighbor discovery algorithm in 3D space named 3D scan-based algorithm (3D-SBA) to meet the needs of the line-of-sight (LOS) scenes. Four existing neighbor discovery algorithms, namely, SBA-based random mode selection (SBA-R), quorum, complete random algorithm (CRA), and SBA-based leader election algorithm (LE), have been extended to our proposed 3D algorithm model for simulation and comparative analysis with 3D-SBA. The simulation results show that the 3D-SBA algorithm consumes 51.15%, 180.20%, 9.48%, and 17.49% of the time slots compared with the four existing algorithms mentioned above. However, the quorum algorithm has a very high node collision rate, up to 92.11%. Ultimately, the 3D-SBA algorithm has the best performance considering the conflicts and the density of network nodes.