智能电表家用负荷识别技术综述

智能电表是智能电网发展的基础,负荷识别是智能电表的重要功能之一。简单介绍了在家用负荷识别中的负荷特征,阐述了目前比较常用的几种非侵入式负荷识别方法,分析了各种负荷识别方法的优缺点,讨论了负荷识别技术研究的意义以及在实际应用中面临的问题。     

CAN总线技术在某大型雷达控制系统中的应用

为缩短某大型雷达各控制节点的响应时间,设计了基于CAN总线技术的雷达控制系统.给出了该控制系统的总体设计,并对各节点的功能、软硬件组成作了详细说明.实践表明,该系统结构合理、性能可靠,缩短了控制响应时间,可使雷达性能进一步得到提升.     

中国和欧美电子节能灯的能效要求比较研究

该文比较分析中国和欧美发达国家对于节能灯能效要求的异同点,分析中国现行标准同发达国家的差距,为制修订中国现行标准提供参考。     

Stabilizing Polymer–Lithium Interface in a Rechargeable Solid Battery

Solid polymer electrolytes (SPEs) are promising candidates for developing high‐energy‐density Li metal batteries due to their flexible processability. However, the low mechanical strength as well as the inferior interfacial regulation of ions between SPEs and Li metal anode limit the suppress ion of Li dendrites and destabilize the Li anode. To meet these challenges, interfacial engineering aiming to homogenize the distribution of Li⁺/electron accompanied with enhanced mechanical strength by Mg₃N₂ layer decorating polyethylene oxide is demonstrated. The intermediary Mg₃N₂ in situ transforms to a mixed ion/electron conducting interlayer consisting of a fast ionic conductor Li₃N and a benign electronic conductor Mg metal, which can buffer the Li⁺ concentration gradient and level the nonuniform electric current distribution during cycling, as demonstrated by a COMSOL Multiphysics simulation. These characteristics endow the solid full cell with a dendrite‐free Li anode and enhanced cycling stability and kinetics. The innovative interface design will accelerate the commercial application of high‐energy‐density solid batteries.     

星载SAR斜视模式运动目标方位多通道信号重建方法

在星载方位多通道SAR斜视模式下,方位斜视角度和运动目标的速度分别导致回波多普勒频谱发生2次混叠和通道失衡,影响运动目标方位多通道信号重建.针对该问题,该文提出一种适用于多通道斜视模式下的运动目标的重建方法.首先通过方位向去斜预处理消除了斜视导致的2次多普勒混叠,然后通过修正的多通道重建矩阵来解决目标速度导致的通道失衡.此外,该文还研究了通道冗余情况下的杂波抑制能力,分析了估计速度误差带来的残余相位误差,给出了一种星载方位多通道SAR斜视模式下的运动目标速度快速估计搜索方法.最后,通过点目标仿真验证了方法的有效性.     

角抽运优化及辐射平衡激光器增益介质设计

角抽运能够避免使用抽运光高透激光高反的双色镜,并且对于低掺杂浓度的激光晶体仍然具有可以接受的吸收效率,因此该抽运方案适合辐射平衡激光器(RBL)较为苛刻的抽运要求.为确保抽运光不会从增益介质的角边泄漏,对角抽运方案中的晶体宽度给出了进一步的优化公式.在992.8 nm抽运光波长下,针对用于辐射平衡激光器的掺杂原子数分数为5%的Yb:KGW激光晶体,利用光线追迹法分别对不使用和使用高温熔合技术的两种角抽运设计方案进行了数值模拟计算.根据抽运吸收效率和均匀性等设计要求,两种角抽运方案中最佳入射角度均为45°,最佳抽运全反射次数值均为1,但是使用高温熔合技术比不使用该技术会使抽运效率提高约20%.     

电信级IP QoS的研究

在网络发展和业务应用需求的双重驱动下,电信级IPQoS作为实现多业务网络的关键技术得到了越来越多的关注。本文针对电信级IPQoS的相关问题,包括电信级IPQoS的必要性、研究和应用的现状、电信级IPQoS的框架模型进行了思考和研究,并对IPQoS的发展趋势进行了展望。     

MANET接入技术研究

以移动AdHoc网络(MobileAdHocNetworks)的接入技术为研究对象,介绍了该网络的特点及其采用的各种接入技术,并以双忙音多址(DBTMA)和RTS/CTS两种接入技术为例,比较了它们对网络性能的影响,最后是对MANET接入技术的总结。     

Field dependence of impact ionization coefficients in In/sub 0.53/Ga/sub 0.47/As

Electron and hole ionization coefficients in In/sub 0.53/Ga/sub 0.47/As are deduced from mixed carrier avalanche photomultiplication measurements on a series of p-i-n diode layers, eliminating other effects that can lead to an increase in photocurrent with reverse bias. Low field ionization is observed for electrons but not for holes, resulting in a larger ratio of ionization coefficients, even at moderately high electric fields than previously reported. The measured ionization coefficients are marginally lower than those of GaAs for fields above 250 kVcm/sup -1/, supporting reports of slightly higher avalanche breakdown voltages in In/sub 0.53/Ga/sub 0.47/As than in GaAs p-i-n diodes.     

Automatic gait recognition based on statistical shape analysis

Gait recognition has recently gained significant attention from computer vision researchers. This interest is strongly motivated by the need for automated person identification systems at a distance in visual surveillance and monitoring applications. The paper proposes a simple and efficient automatic gait recognition algorithm using statistical shape analysis. For each image sequence, an improved background subtraction procedure is used to extract moving silhouettes of a walking figure from the background. Temporal changes of the detected silhouettes are then represented as an associated sequence of complex vector configurations in a common coordinate frame, and are further analyzed using the Procrustes shape analysis method to obtain mean shape as gait signature. Supervised pattern classification techniques, based on the full Procrustes distance measure, are adopted for recognition. This method does not directly analyze the dynamics of gait, but implicitly uses the action of walking to capture the structural characteristics of gait, especially the shape cues of body biometrics. The algorithm is tested on a database consisting of 240 sequences from 20 different subjects walking at 3 viewing angles in an outdoor environment. Experimental results are included to demonstrate the encouraging performance of the proposed algorithm.