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2018 IEEE SENSORS最新文献

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Polymer Based Hybrid Membrane-Flexure Nanomechanical Piezoresistive Sensor 基于聚合物的混合膜-柔性纳米机械压阻传感器
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589806
G. P. Vamshi, B. S. Tina, V. Seena
In this paper, a novel Hybrid Membrane-Flexure Nanomechanical (HMF-NM) Piezoresistive Sensor with SU-8 as structural material and Indium Tin Oxide (ITO) as piezoresistor is designed and simulated using commercial finite element analysis (FEA) software. SU-8/ITO microcantilever has been fabricated to electromechanically extract the piezoresistive property of ITO which has been considered for simulation. The simulated device consists of a circular membrane coated with receptor layer suspended by inverse trapezoidal flexures with embedded piezoresistors. Surface stress induced on the membrane due to target binding is transduced as a uniaxial stress in the flexures which is then sensed using piezoresistors. A conventional polymer U-shaped piezoresistive cantilever is also designed and simulated for comparison. The surface stress sensitivity of HMF-NM sensor is extracted as 4.01 ppm/[mN/m] which is more than 20 times that of a conventional cantilever.
本文以SU-8为结构材料,氧化铟锡(ITO)为压阻材料,设计了一种新型混合膜-柔性纳米机械(HMF-NM)压阻传感器,并利用商业有限元分析(FEA)软件进行了仿真。制作SU-8/ITO微悬臂梁,以机电方式提取ITO的压阻特性,并将其用于仿真。该模拟装置由一层圆形膜组成,该膜上涂有由嵌入压敏电阻的反梯形弯曲悬浮的受体层。由于目标结合而引起的膜表面应力被转导为弯曲中的单轴应力,然后使用压敏电阻进行感应。设计并模拟了一种传统的聚合物u型压阻悬臂。HMF-NM传感器的表面应力灵敏度为4.01 ppm/[mN/m],是传统悬臂梁的20倍以上。
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引用次数: 3
Determination of Bearing Clearance by the Application of Neural Networks 应用神经网络确定轴承间隙
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589587
Nicolas Meier, Yashvardhan Biyani, A. Georgiadis
The aim of the work is to investigate the relationship between bearing radial clearance and vibration frequencies during service. The bearing clearance can be determined based on the energy spectrum of the rotation vibration by the application of neural networks. Experimental investigations are performed using two double-row self-aligning ball bearings and vibration sensors in order to examine this assumption. The bearing vibrations are recorded at different clearances and rotation frequencies and analyzed. The developed system can be used for monitoring or prediction of clearance during service.
工作的目的是研究轴承径向游隙与振动频率之间的关系。应用神经网络可以根据旋转振动的能量谱确定轴承间隙。为了检验这一假设,使用两个双列调心球轴承和振动传感器进行了实验研究。在不同的间隙和旋转频率下记录轴承振动并进行分析。所开发的系统可用于监测或预测服务期间的间隙。
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引用次数: 4
Human Localization in the Home by Using Floor-Mounted Acceleration Sensors 利用地板加速度传感器在家中进行人体定位
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589566
K. Oguchi, Mikiko Iwago
Indoor location based services have become attractive given the rapid advances in information communication technologies (ICTs), especially sophisticated cyber physical system (CPS) technologies, as the global positioning system (GPS) fails within buildings/homes. Therefore, this paper proposes an indoor human location recognition method that uses the vibration signals captured by floor-mounted acceleration sensors. This method eliminates the carrying of devices while protecting personal dignity. Experiments that use 3 acceleration sensors placed on a wooden floor show that the location of a person can be recognized within 2 m from a sensor module with more than 70 % accuracy. An enhanced version offers accuracy of more than 85 %. These results verify the feasibility of the proposed system.
由于全球定位系统(GPS)在建筑物/家庭内失效,由于信息通信技术(ict),特别是复杂的网络物理系统(CPS)技术的快速发展,室内定位服务变得具有吸引力。因此,本文提出了一种利用地板加速度传感器捕获的振动信号进行室内人体位置识别的方法。这种方法在保护个人尊严的同时避免了携带设备。在木地板上放置3个加速度传感器的实验表明,在距离传感器模块2米的范围内,可以识别出人的位置,准确率超过70%。增强版的准确率超过85%。这些结果验证了所提出系统的可行性。
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引用次数: 3
Fabrication of Ultraviolet-Curable Piezoelectric Composite for Sensor and Actuator Applications 传感器和执行器用紫外固化压电复合材料的制备
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589943
R. Mansour, Oluwaseun Omoniyi, R. O’Leary, J. Windmill
In this work, we give a detailed examination of the development of a new piezoelectric ceramic-polymer composite. A full account of the major methods developed in making the polymer composite is presented. Norland Optical Adhesive 65 (“NOA65”) is an ultraviolet (UV)-curable adhesive with potential to be used as a functional material in stereolithography additive manufacturing. The salient aspects of processing such a composite is summarized. This involved preparing samples by using the spin coating technique. Samples of the composite mixture are spin coated on silver-coated glass slides at 2000 rpm for 10s to give a layer thickness of 100μm. The average $pmb d_{33}$ of the composite material was measured and shown to be 2.8 pm/V.
在这项工作中,我们给出了一个详细的研究开发一种新的压电陶瓷-聚合物复合材料。介绍了制造聚合物复合材料的主要方法。Norland Optical Adhesive 65(“NOA65”)是一种紫外线固化胶粘剂,具有在立体光刻增材制造中用作功能材料的潜力。总结了加工这种复合材料的突出方面。这涉及到使用旋转涂层技术制备样品。将复合混合物样品以2000 rpm的转速在镀银玻璃载玻片上旋转涂覆10s,得到100μm的层厚。测量了复合材料的平均值$pmb d_{33}$为2.8 pm/V。
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引用次数: 4
Unobtrusive Continuous Monitoring of Fetal Cardiac Electrophysiology in the Home Setting 在家庭环境中胎儿心脏电生理的不显眼的连续监测
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589895
Tai Le, Alexandre Moravec, Miguel Huerta, Michael P. H. Lau, H. Cao
The current home fetal heart rate (fHR) measurement devices and clinical cardiotocography (CTG) use ultrasound Doppler detectors that are highly position and movement dependent making it difficult to capture the fHR, often causing unnecessary alarm and concerns. The U.S. Food and Drug Administration (FDA) has also been concerned about the unknown rate of repeat and prolonged use of ultrasound detectors. Fetal electrocardiogram (fECG) and HR monitoring devices based on bio-potential acquisition have been developed; however, they are bulky and intrusive, thus not widely accepted. Here, we present innovative non-contact electrode ECG sensors on a small unobtrusive patch which could be attached to the abdomen, or inside garment, incorporated with Bluetooth low energy (BLE) wireless communication, to transfer the acquired data to a smartphone. An Android app was developed to extract the mixed maternal/fetal ECG (f/mECG) signals. In this paper, we demonstrate a simple and robust scheme to provide accurate 24/7 monitoring of f/mHR, with the potential to expand to f/mECG monitoring in the home setting.
目前的家庭胎儿心率(fHR)测量设备和临床心脏摄影(CTG)使用超声多普勒探测器,高度依赖于位置和运动,很难捕捉到fHR,经常引起不必要的警报和担忧。美国食品和药物管理局(FDA)也对超声波探测器重复和长期使用的未知比率表示担忧。基于生物电位采集的胎儿心电图(fECG)和HR监测装置已经开发出来;然而,它们体积庞大且具有侵入性,因此没有被广泛接受。在这里,我们提出了一种创新的非接触式电极ECG传感器,它可以贴在腹部或衣服里,与低功耗蓝牙(BLE)无线通信相结合,将采集的数据传输到智能手机上。我们开发了一个Android应用程序来提取母胎混合ECG (f/mECG)信号。在本文中,我们展示了一种简单而强大的方案,可以提供准确的24/7 f/mHR监测,并有可能扩展到家庭环境中的f/mECG监测。
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引用次数: 8
Enabling Fabrication of PZT Based PiezoMEMS Devices 基于PZT的PiezoMEMS器件的制备
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589565
Sudhanshu Tiwari, Randhir Kumar, Ajay Dangi, R. Pratap
We report a robust process flow for fabrication of PiezoMEMS devices with Lead Zirconate Titanate thin film as the active piezoelectric material. This process flow can overcome all contamination issues that plague processing PZT thin films in a shared facility. We use wet etch recipes for etching of the bottom electrode (platinum) and PZT. We propose sidewall coverage of PZT and Pt film while carrying out deep silicon etch in DRIE to avoid possible exposure of these contaminating materials to the tool. With this process, we have fabricated a gyroscope structure with electrostatic comb drive actuation and piezoelectric sensing. The structure is tested for actuation using PZT film on the beam just to verify the integrity of the active layer.
我们报道了一种以锆钛酸铅薄膜为活性压电材料制备压电微压电器件的稳健工艺流程。该工艺流程可以克服在共享设备中加工PZT薄膜的所有污染问题。我们使用湿蚀刻配方蚀刻底部电极(铂)和PZT。我们建议在DRIE中进行深度硅蚀刻时覆盖PZT和Pt薄膜的侧壁,以避免这些污染材料可能暴露在工具上。利用这一工艺,我们制作了一种静电梳状驱动和压电传感的陀螺仪结构。在梁上使用PZT薄膜对结构进行了驱动测试,以验证有源层的完整性。
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引用次数: 9
Enhancement in Methanol Selectivity Using MoO3 Micrograss Encapsulated Zno Microcube MoO3微草包封Zno微立方提高甲醇选择性
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8630295
Biswajit Mandal, Aaryashree, R. Bhardwaj, Mangal Das, D. S. Sharma, S. Mukherjee
In this report, we present a method for improving selectivity in methanol sensing, using MoO3 micrograss encapsulated ZnO microcube based composite. MoO3micrograss and ZnO microcubes are synthesized by the conventional hydrothermal method, after that, a solution based synthesis approach to synthesize MoO3 micrograss encapsulated ZnO microcube. Grown materials are characterized by FESEM, XRD, EDX, and BET surface area analysis by nitrogen adsorption-desorption technique. Volatile organic compounds sensing performance of these three type material are tested. Results indicate that MoO3 micrograss encapsulated ZnO microcube composite has higher sensitivity and selectivity towards methanol compare to its individual component. Improvement in sensing performance in MoO3 micrograss encapsulated ZnO microcube is attributed to the unique morphology and presence of n-n heterojunction between ZnO microcube and MoO3 micrograss.
在本文中,我们提出了一种利用MoO3微草包封ZnO微立方基复合材料来提高甲醇传感选择性的方法。采用常规水热法合成MoO3微草和ZnO微立方体,然后采用溶液合成法合成MoO3微草包封ZnO微立方体。用FESEM、XRD、EDX和BET等方法对生长材料进行了表征。测试了这三种材料对挥发性有机物的传感性能。结果表明,MoO3微草包封ZnO微立方复合材料对甲醇具有较高的敏感性和选择性。MoO3微草封装ZnO微立方体的传感性能的提高归功于ZnO微立方体与MoO3微草之间独特的形态和n-n异质结的存在。
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引用次数: 0
From Drifting Polyaniline Sensor to Accurate Sensor Array for Breath Analysis 从漂移聚苯胺传感器到精确传感器阵列的呼吸分析
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589801
Paul Le Maout, J. Wojkiewicz, N. Redon, C. Lahuec, F. Seguin, Laurent Dupont, Alexander Pud, S. Mikhaylov
Kidney failure is a critical chronic disease, defined as the irreversible loss of kidney functions. It has been shown that this pathology is associated with an increase of ammonia concentration in breath. Measuring it with a handheld system is a simple way for a noninvasive and early diagnostic. The idea of this paper is to measure the concentration of ammonia in a concentration range of human breath (500 ppb-2100 ppb) with humidity using a network of 11 different nanocomposite sensors. To overcome sensor weaknesses (sensor drift and sensitivity to humidity), the electronic nose principles are applied. Polyaniline-based nanocomposites with titanium dioxide, chitosan and carbon nanotubes are used to provide different sensitivities and response times and thus associate a single pattern to a concentration range. Several classifiers are then investigated and recursive feature elimination algorithm are used to select the most relevant features and sensors while improving the measurement accuracy. Diagnosis accuracy reaches 91% with the combination of feature selection and Support Vector Machine algorithm.
肾衰竭是一种严重的慢性疾病,定义为肾功能不可逆转的丧失。研究表明,这种病理与呼吸中氨浓度的增加有关。用手持系统测量是一种简单的无创早期诊断方法。这篇论文的想法是使用由11个不同的纳米复合传感器组成的网络来测量人类呼吸浓度范围内(500 ppb-2100 ppb)的氨浓度。为了克服传感器的缺点(传感器漂移和对湿度的敏感性),应用了电子鼻原理。以二氧化钛、壳聚糖和碳纳米管为基础的聚苯胺基纳米复合材料可提供不同的灵敏度和响应时间,从而将单一模式与浓度范围联系起来。然后研究了几种分类器,并使用递归特征消除算法来选择最相关的特征和传感器,同时提高了测量精度。特征选择与支持向量机算法相结合,诊断准确率达到91%。
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引用次数: 2
Design of a Miniaturized Wearable Respirable Dust Monitor (WEARDM) for Underground Coal Mines 煤矿井下小型可穿戴式呼吸性粉尘监测仪的设计
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589654
Mandana Hajizadehmotlagh, I. Paprotny
This paper presents the designs of an air-microfluidic miniaturized wearable respirable dust monitor (WEARDM) which is designed to monitor the exposure to ISO respirable mass fraction (PM4) of coal and silica dust in underground coal mines. The device is an order of magnitude smaller and less expensive than comparable devices, and uses the principles of air-microfluidics to gravimetrically and in real-time monitor the exposure to PM4 by the miners, and can be used to increase the safety of the mining operations worldwide.
本文设计了一种空气微流控小型化可穿戴式呼吸性粉尘监测仪(WEARDM),用于监测煤矿井下煤和二氧化硅粉尘的ISO可吸入质量分数(PM4)。该设备比同类设备小一个数量级,价格也更便宜,并利用空气微流体原理以重力法和实时监测矿工接触PM4的情况,可用于提高全球采矿作业的安全性。
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引用次数: 0
SDCF: Sensory Data Collection Framework for Smart Building Application SDCF:智能建筑应用的传感数据收集框架
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589950
Anirban Das, Suchetana Chakraborty
With the exponential increase in number of connected sensor devices for various smart infrastructure based applications, a huge amount of heterogeneous data are generated every moment. Data collection techniques play a crucial role in defining the application QoS. In this paper, we propose SDCF, a novel data collection framework to serve different applications used for smart building monitoring. Proposed SDCF adopts a context-aware forwarding strategy to ensure higher delivery reliability with reduced delay. The overall packet loss is much lower for SDCF as the design involves adaptive data forwarding technique coupled with data fusion. The effectiveness of the proposed routing mechanism has been established by a simulation based comparative analysis with AODV routing protocol.
随着各种基于智能基础设施的应用中连接的传感器设备数量呈指数级增长,每时每刻都会产生大量的异构数据。数据收集技术在定义应用程序QoS方面起着至关重要的作用。在本文中,我们提出了一种新的数据收集框架SDCF,以服务于智能建筑监控的不同应用。本文提出的SDCF采用上下文感知转发策略,以保证更高的传输可靠性和更小的延迟。由于采用了自适应数据转发技术和数据融合技术,因此SDCF的总体丢包率要低得多。通过与AODV路由协议的仿真对比分析,验证了该路由机制的有效性。
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引用次数: 1
期刊
2018 IEEE SENSORS
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