Design of a 3-tier smart middleware system for ubiquitous sensor networks

As ubiquitous sensor networks (USN) technologies and its middleware are still at its early stages, the system of the USN relies on the middleware and applications. The past sensor networks are assumed to be designed for specific applications, having data communication protocols tightly coupled to applications. To avoid these problems, several kinds of USN middleware have been researched and developed. However, most middleware of USN are still restricted by its own infrastructure so far. This paper proposes appropriate 3 tier Smart Middleware System (3SMS) for USN.     

英语语调调核位置探析

从英语语调结构和信息结构理论出发,揭示了英语调核位置的选择主要是根据整个语调组的信息中心--主要信息或新信息在哪里而确定的,并进一步阐述了影响调核位置的因素:语言的上下文关系、讲话时的情景、心理因素(包括联想和习惯因素,以及情感状态).     

基于移动锚节点的无线传感器网络节点定位

为了更好地解决无线传感器网络节点定位精度和复杂测距技术之间的矛盾,提出了一种基于移动锚节点的非测距的定位技术。9个装备有GPS接收机的可移动锚节点形成一个圆形定位区域,位于定位区域内的待定位节点接收锚节点发射的信号,并记录接收信号强度。比较接收信号强度确定自己所处区域,从而实现定位。仿真结果表明,该节点定位技术平均定位精度约为10%,与其他类似定位技术相比能够明显提高节点定位精度。     

高性能混凝土早龄期自干燥收缩测量方法的研究

采用一种新测试方法对早龄期高性能混凝土的自干燥收缩进行精确测量.该系统具有非接触式量测、精度高的特点,可用于从混凝土初凝开始变形的测量.试验装置能有效保证试验数据的准确性并实现自动采集,测试结果具有很好的重复性和可靠性,适用于高性能混凝土自干燥变形行为的试验研究分析.     

静电探测器信号采集与基于数字综合算法的干扰抑制滤波器方法研究

通过对静电目标特性的介绍,了解到静电探测器采集到信号是个低频的变化过程.为了准确的识别目标,提出一种基于数字综合算法的干扰抑制滤波器方法.该方法通过在滤波器频率响应的副瓣区放置大量的干扰信号,改变干扰信号的功率强度,从而自适应地控制滤波器频率响应的副瓣电平.这种方法所设计的滤波器,在其副瓣区域可以设计为任意形状,很容易满足实际应用的要求.设计实例证实了这种方法的有效性.     

无线传感器网络研究概述

介绍无线传感器网路的体系结构、通信协议和传感器节点结构.无线传感器网络的技术、应用还不够成熟,但是它是一种全新的信息获取技术,具有广阔的应用前景.     

无线传感网中基于能量平衡的数据收集树算法

针对实际应用中传感器节点采样频率不同的特点,提出了一种传感网中基于能量平衡的数据收集树算法(an energy balancing and tree-based data gathering algorithm,EBDGA).EBDGA在基站集中式的构建是以本基站为根结点、基于能量平衡的生成树,根据节点的采样频率定制生成树中子节点加入的策略.仿真实验表明,在这种特定的网络模式下,EBDGA比传统的数据收集树算法PEDAP和PEDAP-PA具有更好的能量平衡特性,提升了能量性能.     

Two Sorts of Fiber Optic Sensor Monitoring the Cure Process of Composite Laminate

Two new sorts of fiber optic sensor are designed.Firstly, the variation of refractive index of resin surrounding the embedded fiber optic was mean to observed by measuring the speckle spatial spectrum at the end-face of the fiber optic.Secondly, it is proposed to measuring the change of thickness of the laminate by using fiber optic microbend attenuation.The experiment results measured by the fiber optic sensors are given.The first sort of sensor was found to be able to detect the viscosity process of the resin matrix during cure process includeing the minimum point of viscosity, the gelation point and the end point of cure process; the second sort of sensor could detect the course of change of the thickness of composite laminate pressed by operation pressure.It is benefit for us to optimize the operation technology and to establish the intelligent monitoring system about curing process of composites for the reason that the viscosity process and the change course of the thickness of laminate can be monitored.     

Coverability of Wireless Sensor Networks

The coverability of Wireless Sensor Networks (WSNs) is essentially a Quality of Service (QoS) problem that measures how well the monitored area is covered by one or more sensor nodes.The coverability of WSNs was examined by combining existing computational geometry techniques such as the Voronoi diagram and Delaunay triangulation with graph theoretical algorithmic techniques.Three new evaluation algorithms,known as CRM (Comprehensive Risk Minimization),TWS (Threshold Weight Shortest path),and CSM (Comprehen...     

Distributed Dynamic Navigation for Sensor Networks

Navigation with sensor networks has shown many advantages and great potential in many scenarios.Previous works have mainly focused on selecting the shortest path to navigate an internal user out of an emergency field.However,they did not consider variations of the dangerous areas which usually occur in practical applications.This paper presents an efficient dynamic routing algorithm to successfully guide users to the destination exit.The navigation goal is looking for a safe and short path to enable the user to escape from a dangerous area as fast as possible.Without knowing the locations of the nodes,the user is guided by a sequence of sensor nodes to pass through the dangerous areas.The algorithm ensures the navigation path security by predicting the dynamic changes affecting the navigation path.The performance of this approach is evaluated using extensive simulations to validate its effectiveness.Simulations show that the approach is scalable and performs well in various settings.