Stochastically resilient extended Kalman filtering for discrete-time nonlinear systems with sensor failures

Missing sensor data is a common problem, which severely influences the overall performance of modern data-intensive control and computing applications. In order to address this important issue, a novel resilient extended Kalman filter is proposed for discrete-time nonlinear stochastic systems with sensor failures and random observer gain perturbations. The failure mechanisms of multiple sensors are assumed to be independent of each other with different failure rates. The locally unbiased robust minimum mean square filter is designed for state estimation under these conditions. The performance of the proposed estimation method is verified by means of numerical Monte Carlo simulation of two different nonlinear stochastic systems, involving a sinusoidal system and a Lorenz oscillator system.     

Synchronous receiver initiated MAC protocol for long-lived sensor networks

In this paper, we discuss the design of a new Medium Access Control (MAC) protocol, SRI-MAC (Synchronous Receiver Initiated MAC), for wireless sensor networks whose goal is to extend the lifetime of the network by avoiding major energy waste causes, such as collisions, overhearing and idle listening.     

基于十二烷基衣康酸甘油酯的光电双响应传感器

该文制备了一种利用结构色水凝胶作为导电电极的光电双响应传感器。以十二烷基衣康酸甘油酯(DGI)、丙烯酰胺、十二烷基硫酸钠(SDS)、氯化钠等为原料,通过双分子层自组装的方法,制备了结构色水凝胶。将这种结构色水凝胶与传统电容型传感器相结合,得到了光电双响应传感器。采用SEM、LCR数字电桥、拉力试验机、光纤光谱仪等对器件进行了结构、光学、电学及机械性能的表征。结果表明:传感器在拉伸状态(0～100%)和压缩状态(0～60.9k Pa)下,传感器的电容分别变化了31%和44%,其自身颜色在可见光光谱内可以动态可逆地从红色变化到紫色。经历15000次循环拉伸后,传感器性能依旧保持稳定。利用传感器颜色的刺激响应性,传感器在发生形变时,其表面可以清楚地显示出应变源的位置和形状,这样传感器在检测时就可以实现可视化效果。     

多壁碳纳米管与聚(2-乙酰基-5-溴噻吩)复合纳米材料修饰玻碳电极同时检测对苯二酚、邻苯二酚和对甲苯酚

该文利用多壁碳纳米管(MWCNTs)和聚(2-乙酰基-5-溴噻吩)复合纳米材料修饰电极,用于同时检测对苯二酚(HQ)、邻苯二酚(CC)和对甲苯酚(PC)。通过循环伏安法(CV),示差脉冲伏安法(DPV)和透射电镜(TEM)表征了该复合纳米材料的电化学性能和表面形貌。结果表明该电极对HQ、CC和PC具有较高的灵敏度和选择性。DPV峰电流与HQ、CC和PC的浓度在1.0×10-5～8.0×10-4mol/L,5.0×10-6～5.5×10-4mol/L和5.0×10-6～7.5×10-4mol/L范围内分别呈良好的线性关系,且检测限分别为3.0×10-6 mol/L,1.7×10-6 mol/L和2.0×10-6mol/L。     

基于GP2Y0A02距离测量的仿真与辅助设计

为了实现非接触距离测量,利用多个仿真与设计软件设计了采用GP2Y0A02模块的距离光学测试系统。在PROTEUS中测量GP2Y0A02电压值,并在Matlab中采用多元线性回归建立GP2Y0A02电压与距离的拟合曲线,最后在开发的测量程序中利用拟合曲线求解得到距离量。测试结果表明,对于非线性位置测量采用适当数据处理方法能得到满意的测量精度。     

基于MSP430单片机远程家庭环境监测报警器的设计与实现

随着物联网的发展,本文介绍一种基于GSM 的家居环境监控系统。主要以MSP430单片机为控制中心, YM12864液晶显示器和WTV020-SD语音模块作为人机交互设备,TC35i作为GSM通信模块,设计利用温、湿度传感器DHT11,MQ系列烟雾传感器等对环境的温度、湿度、烟雾、可燃气体等进行实时监测并实现现场参数的显示、报警、语音提示与远程手机报警,可将测得的数据传送由单片机处理后通过GSM通信模块将转换来的数据以短信的方式发送到手机,达到远程监测的目的。     

Polymer and nanobelt derived nanomaterials: opening doors to revolutionary stadia

ABSTRACT

The state-of-the-art article presents concepts of nanobelt nanofiller, inimitable properties of derived polymeric nanocomposite, applications, and outlook on challenges to gain next generation high-performance materials. Nanobelt is a one-dimensional nanostructured nanomaterial. Owing to minuscule size and high surface area, nanobelt possesses unique structural, optical, electronic, mechanical, and thermal characteristics. Nanobelt exists in various forms such as carbon nanobelt, polymer nanobelt, and inorganic. These nanobelts have been used to develop polymer/nanobelt nanocomposites. Homogeneous dispersion of nanobelt in polymer matrices is desirable to enhance the characteristics of polymer/nanobelt nanocomposite. Consequently, innovations in design, fabrication, and properties of various polymer/nanobelt nanocomposite are summarized. Applications of polymer/nanobelt nanocomposite are reviewed for Li-ion battery, supercapacitor, sensor, membrane, and biomedical arenas.     

一种老人医疗求救装置设计与实现

目前,老人医疗装置是当前应用热点之一,引起广泛的关注。本文就该问题提出了一种老人的医疗求救装置的实现方案,详细阐述了该方案设计过程的各个主要模块设计和软件设计。     

广角摄像机在机器人视觉定位中的应用

为了保证广角摄像机在现代机器人视觉定位应用中的准确性,以广角摄像机像素坐标的反畸变过程为研究对象,提出一种在畸变对应表的基础上使用中心迭代法以及区域插值法确定物体实际位置的方法。通过实验证明了该方法能够测量物体的位置,其精度能够满足工业使用要求。     

Development of soft sensor by incorporating the delayed infrequent and irregular measurements

Originated from challenging industrial applications, this paper addresses a soft sensor development problem for linear systems with two types of measurements. One is fast, regular and delay-free measurements. The other is infrequent, irregular measurements with time-varying delays. The approach to be taken is based on the Kalman filter and data fusion technique, avoiding running the full augmented state Kalman filter, and leading to a considerably lower implementation cost. Although it is suboptimal, the loss in performance is minor compared to the optimal filter. Two simulation examples demonstrate the advantages of the proposed approach. An industrial soft sensor application example is also used to demonstrate its practicality.