Exploring approaches to improve the performance of autonomous monitoring with imperfect data in location-aware wireless sensor networks

In recent years, information and sensing technologies have been applied to the construction industry to collect and provide rich information to facilitate decision making processes. One of the applications is using location data to support autonomous crane safety monitoring (e.g., collision avoidance and dangerous areas control). Several location-aware wireless technologies such as GPS (Global Positioning System), RFID (Radio-frequency identification), and Ultra-Wide Band sensors, have been proposed to provide location information for autonomous safety monitoring. However, previous studies indicated that imperfections (errors, uncertainty, and inconsistency) exist in the data collected from those sensors and the data imperfections have great impacts on autonomous safety monitoring system performance. This paper explores five computationally light-weight approaches to deal with the data imperfections, aiming to improve the system performance. The authors built a scaled autonomous crane safety monitoring testbed with a mounted localization system to collect location data and developed five representative test cases based on a live construction jobsite. Seven hundred and sixty location readings were collected at thirty-eight test points from the sensors. Those location data was fed into the reasoning mechanisms with five approaches to generate the safety decisions at those thirty-eight test points and evaluate system performance in terms of precision, recall and accuracy. The results indicate that system performance can be improved if at least ten position readings from sensors can be collected at small intervals at any location along the moving path. However, by including additional data such as velocity and acceleration that may be read from devices mounted on workers, localization error may be significantly reduced. These findings represent a path forward to improve localization accuracy by mixing imperfect data from the sensed environment with supplemental input.     

Humidity‐sensitive properties of new polyelectrolytes based on the copolymers containing phosphonium salt and phosphine function

A simple strategy was developed based on a new reactive function‐ and a salt‐containing new monomer, 4‐vinylbenzyl dimethyl 2‐(dimethylphosphino)ethyl phosphonium chloride (VDEPC), to obtain stable humidity‐sensitive membranes. The major ingredient of a humid membrane is crosslinked polyelectrolytes obtained from copolymers of VDEPC/2‐ethylhexyl acrylate (2‐EHA) = 1/0, 4/1, and 2/1. Isothermal humidity absorption experiments were performed for the estimation of humidity‐sensing materials. The crosslinked copolymers prepared from the reaction of VDEPC/2‐EHA = 4/1 with 1,4‐dichlorobutane showed an average impedance of 595, 39.1, and 3.9 KΩ at 30, 60, and 90% RH, respectively. Their hysteresis, temperature dependence, frequency dependence, and response time were measured. The reliability including water resistance and a long‐term stability were estimated for the application of the common humidity sensor. © 2003 Wiley Periodicals, Inc. J Appl Polym Sci 89: 1062–1070, 2003     

水热法制备ZrO_2纳米微晶及对乙醇和丁烷气敏性研究

用水热法制备 Zr O2 纳米微晶的平均尺寸为直径 5 nm,长 7.5 nm。由 X射线衍射确认晶相为单斜相。并对其形状和大小进行了透射电镜和激光散射分析 ,结果表明 Zr O2 纳米粒子在水溶液中存在软团聚 ,团聚体平均尺寸约 90 nm。着重研究了 Zr O2 纳米微晶对乙醇及丁烷的气敏性能 ,结果表明用纳米级 Zr O2 粒子制备的气敏元件对乙醇和丁烷有好的气敏性。并且随着纳米粒子尺寸降低 ,对气体敏感性增强     

PE基聚硅氧烷/改性SiO2超疏水薄膜的构筑

使用十八烷基三甲氧基硅烷(OTMS)对纳米SiO2进行表面疏水改性,将得到的改性纳米SiO2(OTMS-SiO2)添加到有机硅树脂(SI)中,然后采用两步法在聚乙烯(PE)薄膜表面固化制备了复合涂层SI/OTMS-SiO2.通过FTIR、1HNMR、29SiNMR、TGA对OTMS-SiO2及复合涂层进行了表征,采用接触角测量仪、SEM、AFM对复合涂层疏水特性和形貌进行了测试和观察,最后对复合涂层的耐磨性和附着力进行了分析.结果表明,SiO2表面成功引入了OTMS,且OTMS-SiO2均匀附着在硅树脂涂层上,增加了表面粗糙度,得到了PE基固化超疏水复合涂层.当OTMS-SiO2添加量为正己烷质量的8％时,制得的复合涂层的水接触角为154°,滚动角为7°,并具有良好的耐磨性,其附着力可达4A等级.     

纳米级氢氧化镍制备及电化学性能研究

介绍了一种通过合成草酸镍,进而生成β型纳米氢氧化镍的新的合成路线,从而达到大幅度提高镍氢电池正极放电容量的目的。使用X射线衍射（XRD）分析产品的晶型结构。从产品谱图中可以得知：由于特征衍射峰的出现可以判定该产品为β型,且由于（001）峰的宽化可以初步判定其为纳米级。通过透射电镜（TEM）可以看出产品粒径和形貌的具体特征,即产品为针状,长度为100～200 nm,直径为10～20 nm。将纳米级氢氧化镍制成电极,经过充放电测试可以发现电容量约为400 mA.h/g,远远高于球形微米级氢氧化镍的放电容量。     

基于MEMS三轴加速度传感器的摔倒检测

摔倒作为人体活动的一部分,是影响人体健康的一大因素,尤其对病人和老年人而言,摔倒检测至关重要。基于MEMS三轴加速度传感器采集的人体活动加速度信号,提出了一种基于固定阈值的信号幅度向量滑动平均法SVMSA。该方法根据人体活动时的加速度信号特征,利用预先设定的阈值对加速度信号幅度向量SVM的滑动平均SVMSA进行判决,同时使用差分信号幅度域DSMA区分快速跑步等剧烈运动,准确实现了人体的摔倒检测。主要优势在于分析并区别了人体快速跑步等剧烈运动对摔倒检测的影响。通过对8位实验者的测试,该算法实现了94.4%的精确度。实验表明该算法能够较为准确地实现人体的摔倒检测。     

移动传感器随机事件捕获

移动传感器在入侵检测的应用研究中,感兴趣区域主要考虑的是特定形状,如圆形或矩形。由于这种限制,很多研究结论通用性差。研究了感兴趣区域是任何形状的一个环;基于移动传感器的速度,移动模式和数量,建立了一个随机模型;分析多个或单个移动传感器沿环检测的性能。在模型中,当所有移动传感器检测时,它们被置以恒定的速度周期性地沿环移动。对于多个移动传感器,它们的速度都相同。入侵事件的模式为每次入侵到达环上一个随机点,抵达后停留一个随机时间长度。根据移动传感器的数量,导出了移动传感器对入侵漏捕概率和首次捕获入侵所需平均时间的一般表达式。最后,评估了移动传感器的检测性能。     

新型氨基化磁性纳米粒子的合成

通过嫁接方法在包有二氧化硅的纳米CoFe2O4磁粒表面进行氨基化修饰,制备出一种可用于生物医学领域的新型氨基化纳米磁粒,采用TGA-DTA,IR,VSM和Zeta-potential等测定方法,对氨基化和未氨基化的CoFe2O4纳米粒子进行了表征。元素分析结果显示,有0.98 mmol/g的有机分子固定在纳米粒子表面;红外和热分析数据显示,带氨基的有机分子嫁接到磁粒表面的二氧化硅壳层上;Zeta电位数据也显示,带氨基的有机分子嫁接到纳米磁粒表面;样品的磁性参数显示,氨基化纳米磁粒仍具有好的磁学性能。     

Oil thermal annealed nano‐structured indium tin oxide thin films for display applications

Indium tin oxide‐coated thin films (200 nm) are deposited on glass substrates by using R.f. sputtering technique. Here, we investigate the influence of new technique of treatment, which is called as “oil thermal annealing” on the nano‐structured indium tin oxide thin films at fixed temperature (150 °C) which improves adhesion strength, electrical conductivity and optical properties (transmittance) of the films. Oil thermal annealing is used to reduce inherent defects that may be introduced during the prepared thin film and cooling processes. Proposed technique is highly suitable for liquid crystal displays, solar cells and organic light emitting diodes, and many other display‐related applications.     

有机硅改性无皂丙烯酸酯类水分散体的合成技术及其产业化实践

介绍了以特殊结构的纳米无机体材料为骨架,采用无皂工艺合成的以有机硅材料进行改性的具有LIPN结构的丙烯酸酯类水分散体的性能及其产业化实践的情况,并对以该水分散体开发的水性木器涂料的性能作了对比说明。实践表明,以该丙烯酸水分散体开发的水性木器涂料较好地解决了目前水性木器涂料在硬度、光泽度、丰满度、回粘温度等方面不如溶剂型涂料的弱点,且该分散体的合成工艺独特、成本低廉,利于产业化和下游厂家开发使用。