Design of the low power wake-up receiver for internet of things communication

A wake-up receiver with high energy efficiency and low power consumption is proposed for solving the power consuming problems of wireless nodes communication in the Internet of Things. The proposed wake-up receiver based on the wake-up mechanism can effectively schedule the network nodes communication, and use the simple envelope detection structure to achieve frequency down-conversion, which can flexibly manage energy and reduce power consumption. Based on UMC 65nm CMOS process technology, the wake-up receiver is designed and simulated. The results show that it can achieve S₁₁ of -21dBm and a sensitivity of -75dBm at a data rate of 1Mb/s, when operating at the central frequency of 780MHz and input signal adopting an on-off keying (OOK) modulation, and the power consumption is 82μW at 1.2V voltage supply.     

Recent progress of CERN RD50 Collaboration

The objective of the CERN RD50 Collaboration is to develop radiation hard semiconductor detectors for very high luminosity colliders, in particular, for the upgrade of the large hadron collider （LHC） which itself is scheduled to be operational in 2007. The approach of the RD50 has two major research lines, material engineering and device engineering. These are further subdivided into projects covering defect characterization and engineering, new detector materials, detector characterization, new detector structures and full detector systems. Presently, 264 members from 53 institutes are actively participating in the RD50 Collaboration. Detectors made of defect engineered substrates, e.g. high resistivity magnetic Czochralski （MCz-Si）, epitaxial silicon （Epi-Si） on Czochralski silicon （Cz-Si） substrate, intentionally thermal donor （TD） compensated p-type MCz-Si and oxygen enriched （DOFZ） silicon, have been demonstrated by the RD50 Collaboration. An overview and highlights of the results of these defect engineering techniques were given in this report.     

WSNs入侵检测中实值否定选择算法研究

针对无线传感器网络免疫入侵检测中否定选择算法采用r-连续位二进制串匹配度作为亲和力,检测率低且无法反映WSNs在一段时间内的动态特性这一现象,提出采用RNS-WSNs算法,该算法用一段时间内属性值的变化率构成向量作为抗原和抗体,通过计算向量间的曼哈顿距离作为亲和力。在NS3上模拟WSNs进行实验,结果显示在能量消耗相当且误报率相同的情况下,RNS-WSNs算法具有更高的检测率。     

AT90CAN128的有轨电车检测器设计

本设计以AT90CAN128为控制核心,利用其输入捕捉单元对线圈频率的变化进行检测,使用CAN通信接口将检测结果实时传送,来实现车辆存在与否的可靠检测.本设计将应用于现代有轨电车轨道占用检查子系统中,实现在道岔处对轨道占用的检测,来保障电车的安全行驶和运营调度系统的高效运行.     

基于改进的无量纲指标信息融合故障诊断方法

针对无量纲指标信息的不确定会产生冲突证据的问题,提出一种基于改进证据理论的无量纲指标信息融合故障诊断方法.采用人工免疫算法构建原始证据;通过计算无量纲免疫检测器证据之间的相似度找出相似证据和冲突证据.保留相似证据,并利用可信度修正冲突证据,从而降低冲突证据对证据理论合成结果的影响.组合式旋转机械故障诊断试验验证本文方法有效.该方法能够明显提高故障诊断准确率.     

电感传感器金属探测定位系统设计

本文以 LDC1000电感传感器以及飞思卡尔 Kinetis 系列微控制器 K60为核心,组成具有定位功能的金属探测系统。通过金属的涡流效应,对金属物体进行检测,能够在一定范围内迅速定位出金属物体的精确位置。经实验表明,距离物体中心定位误差不超过4 mm,最小可以检测出2 cm2大小的金属物体。测量数据在单片机中进行处理,软件上采用了数字滤波,进一步减少了误差干扰信号,提高了系统的稳定性与精确性。该系统可通过 LCD 液晶显示屏显示当前金属物体所在具体位置,并利用按键实现人机交互。     

基于漏磁原理的钢丝绳探伤仪影响因素研究

介绍了钢丝绳探伤仪漏磁检测原理,并使用有限元分析方法分析了传感器零件的材料、钢丝绳的提离距离及断丝根数等对基于漏磁原理的钢丝绳探伤仪检测结果的影响。分析结果表明,提离距离、断丝根数等因素对探伤仪检测结果影响较大,断丝角度、深度等因素影响较小。     

基于ARM的电磁继电器参数检测仪

针对目前市场上存在的一些电磁继电器参数检测仪器的缺点,为了能够精确采集电磁继电器的吸合电压等主要参数,采用ARM技术和上、下位机方法,设计了一款基于ARMCortex—M3芯片sTM32F103ZET6单片机控制的电磁继电器综合参数检测仪。该仪器可完成对动断、动合、转换型直流继电器的线圈电阻、触点接触电阻、最小吸合电压、最大释放电压、吸合时间、释放时间等参数的测试。     

基于免疫粒子群算法的参数估计方法

针对污水生化反应模型参数估计问题,提出一种基于免疫粒子群算法的估计方法。该方法采用免疫算法保持粒子群的多样性,避免粒子群算法的过早收敛而降低寻优能力。利用估计的参数值对实验数据进行拟合,仿真结果表明,拟合误差率低于标准的粒子群和遗传算法,进一步提高了污水生化反应模型参数估计精度。