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2019 IEEE International Symposium on Measurements & Networking (M&N)最新文献

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Self-generating Microsensor with Meander Architecture for Performance Enhancement in Inertial Systems 用于惯性系统性能增强的弯曲结构自生微传感器
Pub Date : 2019-07-01 DOI: 10.1109/IWMN.2019.8805007
Valentina Sinatra, C. Trigona, B. Andò, S. Baglio
The topic presented in this paper is a self-generating PiezoMUMPs integrated sensor for inertial measurements. In particular authors have conceived a suitable design based on a meander structure in order to realize a MEMS device having the following prerogatives: 1) the adoption of an Aluminum Nitride (AlN) layer used as “active” material to generate an output voltage as function of the measur and (acceleration) without the adoption of supplementary/active conditioning circuits; 2) the use of a meander structure for higher performance, low frequency response and suitable to realize a low-stiffness device with, at the same time, high useful active area for the self-generating piezoelectric material (AlN). It is worth to mention that the proposed system can be used for novel measurement architectures which can be applied in several fields, including inertial measurement for equipments, sensing in environments, biomedical and structural health monitoring. The paper includes the design, fabrication modeling and experiments in order to demonstrate the validity of the proposed device.
本文的主题是一种自生式压电umps集成惯性测量传感器。作者特别提出了一种基于弯曲结构的合适设计,以实现具有以下特权的MEMS器件:1)采用氮化铝(AlN)层作为“有源”材料,产生作为测量和(加速)函数的输出电压,而不采用补充/有源调理电路;2)采用曲径结构,性能更高,频率响应低,适合实现具有低刚度的器件,同时具有高有用有源面积的自生压电材料(AlN)。值得一提的是,该系统可用于新型测量架构,可应用于多个领域,包括设备惯性测量,环境传感,生物医学和结构健康监测。本文包括设计、制作、建模和实验,以证明该装置的有效性。
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引用次数: 1
Vision Optical-Based Evaluation of Senshand Accuracy for Parkinson’s Disease Motor Assessment 基于视觉光学的帕金森病运动评估senshan准确度评估
Pub Date : 2019-07-01 DOI: 10.1109/IWMN.2019.8804990
E. Rovini, D. Esposito, L. Fabbri, S. Pancani, F. Vannetti, F. Cavallo
Parkinson’s disease (PD) is a highly-disabling common neurodegenerative disease. The current method to diagnose PD is mainly based on clinical criteria and motor examination of the performance of the patients that are visually evaluated by the neurologist while they performed tasks from MDS-UPDRS. In order to support the clinician in objective assessment of the motor performance, sensorized wearable technology able to finely measure the motion are currently investigated. Since accuracy and precision of the measures are mandatory to provide the neurologist with a tool that can actually be applied in clinical practice, in this work, the quality of measures obtained by the SensHand system was evaluated, comparing them to an optoelectronic “gold standard” system addressing a preliminary technical validation. Three exercises (i.e., finger tapping, thumb-forefinger tapping, and pronosupination) were selected and frequency, number of repetitions and amplitude of the movements were measured for each of them by both the wearable and optical systems. The preliminary results were very satisfying, considering that discrepancies, measured as absolute error, in frequency evaluation, number of repetitions, and amplitude movement were, on average, equal to 0.03 taps/s(min0.02, max0.05), 0.07 tap (min 0.02, max 0.13), and 3.8 degrees (min 1.81, max7.47), respectively. Very high correlation values obtained from linear regression analysis (R2>0.9) also confirmed the accuracy of the measurements achieved with SensHand. Therefore, the obtained results from SensHand system are promising to use it to support the neurologist for accurate quantification of motion analysis to improve the objective PD evaluation.
帕金森病(PD)是一种高度致残的常见神经退行性疾病。目前诊断PD的方法主要基于临床标准和神经学家在执行MDS-UPDRS任务时对患者表现进行视觉评估的运动检查。为了支持临床医生对运动性能的客观评估,目前正在研究能够精细测量运动的传感可穿戴技术。由于测量的准确性和精确性是强制性的,为神经科医生提供了一个可以实际应用于临床实践的工具,在这项工作中,对SensHand系统获得的测量质量进行了评估,并将其与光电“金标准”系统进行了比较,解决了初步的技术验证。选择手指叩击、拇指-食指叩击和前旋三种动作,通过可穿戴和光学系统分别测量每种动作的频率、重复次数和幅度。考虑到以绝对误差衡量的频率评估、重复次数和振幅运动的差异平均分别等于0.03次拍/s(min0.02, max0.05)、0.07次拍(min0.02, max 0.13)和3.8度(min 1.81, max7.47),初步结果非常令人满意。线性回归分析获得的非常高的相关值(R2>0.9)也证实了SensHand测量结果的准确性。因此,SensHand系统获得的结果有望用于支持神经科医生对运动分析进行准确量化,以提高PD的客观评估。
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引用次数: 7
Experimental Evidences on the Effectiveness of a Nonredundant Spherical Spiral NF/FF Transformation for Offset Mounted Quasi-planar AUTs 非冗余球面螺旋NF/FF变换对偏置安装准平面aut有效性的实验证据
Pub Date : 2019-07-01 DOI: 10.1109/IWMN.2019.8804996
F. D’Agostino, F. Ferrara, C. Gennarelli, R. Guerriero, M. Migliozzi
The work aims to provide the experimental assessment of a recently proposed near-field/far-field (NF/FF) transformation technique with spherical spiral scan, that, by properly exploiting the theoretical bases on the nonredundant representation of electromagnetic fields and on the spiral scans for nonvolumetric antennas, is able to account for mountings of the antennas under test (AUTs) in offset configuration. It will be shown that, to characterize an AUT with a quasi-planar geometry, suitably modelled by a flexible surface made by two circular bowls of equal apertures and possibly different lateral bends, the developed technique employs the same amount of NF data both for offset and onset AUT mountings, since this amount relies only on the area of the surface that contains the antenna. The experimental results will further confirm its practical efficacy.
该工作旨在为最近提出的球面螺旋扫描近场/远场(NF/FF)转换技术提供实验评估,该技术通过适当地利用电磁场的非冗余表示和非体积天线的螺旋扫描的理论基础,能够解释被测天线(aut)在偏移配置中的安装。本文将说明,为了用准平面几何来表征AUT,并适当地用两个孔径相等且可能有不同横向弯曲的圆形碗制成的柔性表面来建模,所开发的技术在偏移和初始AUT安装中使用了相同数量的NF数据,因为这一数量仅依赖于包含天线的表面面积。实验结果将进一步证实其实际效果。
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引用次数: 1
Performance Analysis of an AlN Humidity Sensor based on TiO2 nanoparticles 基于TiO2纳米颗粒的AlN湿度传感器性能分析
Pub Date : 2019-07-01 DOI: 10.1109/IWMN.2019.8805004
A. Fort, E. Panzardi, V. Vignoli, Elia Landi, M. Mugnaini, C. Trigona
This paper shows the feasibility of a novel humidity sensor based on a low frequency micromachined electromechanical resonator functionalized with nanoparticles of TiO2. Immunity to the non-idealities of the conditioning electronic components was obtained by means of a low frequency resonator. In addition, this method was also applied in order to minimize the degradation of the resonator quality due to the deposition of the sensing material. The experimental results obtained using an ad-hoc characterization system show that this solution is viable and that the sensor has satisfactory performance in a large humidity range. It is worth noting that the proposed system can be used for structural health monitoring and novel measurements architecture.
本文展示了一种基于TiO2纳米粒子功能化的低频微机械机电谐振器的新型湿度传感器的可行性。通过低频谐振器获得了对调节电子元件非理想性的抗扰度。此外,为了最大限度地减少由于传感材料的沉积而导致的谐振器质量的下降,也应用了这种方法。实验结果表明,该方案是可行的,传感器在较大湿度范围内具有满意的性能。值得注意的是,该系统可用于结构健康监测和新的测量架构。
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引用次数: 8
Heterogeneous Sensor-network for Vibration-based SHM 基于振动的SHM异构传感器网络
Pub Date : 2019-07-01 DOI: 10.1109/IWMN.2019.8804986
F. Zonzini, M. Malatesta, Denis Bogomolov, N. Testoni, L. Marchi, A. Marzani
Structural Health Monitoring is becoming increasingly attractive for its potentialities in many application contexts, due to improvements brought in by non-destructive test technologies. Among them, Operational Modal Analysis is an efficient tool to assess the integrity of vibrating structures. This work exploits both novel MEMS accelerometers and piezoelectric devices to extract strictly synchronized modal parameters. The advantages of using a combined approach are proved by highly coherent results from an instrumented cantilever aluminum beam, which is able to provide exhaustive structural information.
由于无损检测技术的进步,结构健康监测在许多应用环境中具有越来越大的吸引力。其中,操作模态分析是评估振动结构完整性的有效工具。这项工作利用新型MEMS加速度计和压电器件来提取严格同步的模态参数。采用联合方法的优点是由仪器悬臂铝梁的高相干结果证明,它能够提供详尽的结构信息。
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引用次数: 2
The Use of Unmanned Aircraft System for the Radio Frequency Interference Measurements 无人机系统在射频干扰测量中的应用
Pub Date : 2019-07-01 DOI: 10.1109/IWMN.2019.8805039
Marjo Heikkilä, Arto Seppänen, Marjut Koskela, Jukka Pihonen, Jan Engelberg, A. Pouttu
The unmanned aircraft systems (UAS) are commonly used for aerial photography, express delivery for packets or video monitoring. The UAS technology can help responding to the growing demands of the frequency monitoring by national radiocommunication authorities (NRAs). This article presents a practical usage trial of an unmanned aircraft for monitoring the spectrum usage and finding the interference location. The monitoring of spectrum usage is one part of the NRAs’ process for guarantee user compliance with radio license conditions. Finding illegal or malfunctioning transmitters is a challenging task especially in urban environment, due to multi-path propagation conditions. This study focuses on practical assessment of the method for determining accurate location of radio frequency interference sources from the buildings using the UAS technology. The practicability of the UAS technology usage in spectrum monitoring activities was under the evaluation. This study showed promising results that UAS with the measurement equipment setup suits NRAs’ as a tool for mobile monitoring on the air.
无人驾驶飞机系统(UAS)通常用于航空摄影、包裹快递或视频监控。无人机系统技术可以帮助响应国家无线电通信主管部门(NRAs)日益增长的频率监测需求。本文介绍了一种用于监测频谱使用情况和发现干扰位置的无人机的实际使用试验。对频谱使用情况的监控是nra保证用户遵守无线电许可条件的过程的一部分。发现非法或故障发射机是一项具有挑战性的任务,特别是在城市环境中,由于多路径传播的条件。本研究着重于实际评估使用无人机技术确定建筑物射频干扰源精确位置的方法。评估了UAS技术在频谱监测活动中的实用性。该研究显示了具有测量设备设置的UAS适合NRAs作为空中移动监测工具的有希望的结果。
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引用次数: 2
A Multi-label Classification Approach to Localization of Multiple Node Failures in Local DC Networks 本地数据中心网络中多节点故障定位的多标签分类方法
Pub Date : 2019-07-01 DOI: 10.1109/IWMN.2019.8805021
Jose Cordova-Garcia
The wide adoption of network based IT services to support operations and services have driven organizations to deploy local data center (DC) infrastructure and networks. Monitoring the proper functioning of such networks is of critical importance, specially in the event of failures. Timely detection and localization of the failed devices shorten the repair times and guarantee normal operation of infrastructure and services. In this work we propose a data-driven multiple failure localization approach based on device features obtained through passive monitoring. Namely, we set the localization problem as one of multi-label classification using high dimensional and high resolution data that is increasingly available with modern devices. Our results show that using simple base classifiers, the proposed methodology can yield high Hamming accuracy and acceptable compromise on false alarms, without relying on active monitoring.
广泛采用基于网络的IT服务来支持运营和服务,促使组织部署本地数据中心(DC)基础设施和网络。监测这种网络的正常运作是至关重要的,特别是在发生故障的情况下。及时发现和定位故障设备,缩短维修时间,保证基础设施和业务的正常运行。在这项工作中,我们提出了一种基于通过被动监测获得的设备特征的数据驱动的多故障定位方法。也就是说,我们将定位问题设置为使用现代设备日益可用的高维和高分辨率数据的多标签分类之一。我们的结果表明,使用简单的基分类器,所提出的方法可以产生高汉明精度和可接受的假警报折衷,而不依赖于主动监测。
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引用次数: 0
Major Contributions on Uncertainty in Radar Image Based Near-field to Far-Field RCS Measurement 基于雷达图像近场到远场RCS测量的不确定度研究
Pub Date : 2019-07-01 DOI: 10.1109/IWMN.2019.8805028
A. Sarri, S. Sensani, L. Fiori, M. Filippi, S. Bertini, R. Cioni
Reliable Radar Cross Section (RCS) measurements require complex instrumentation systems, expensive and dedicated test ranges and operations, especially when dealing with full-scale targets. Thus performing RCS measurements using near field test ranges and non-ideally anechoic environments is a very attractive option. Applications related to these topics have recently been of increasing interest especially in the design-prototyping loop of low observable platforms and full-scale components. To this purpose, IDS has been developing and using reliable RCS measurement solutions and innovative processing techniques for more than fifteen years. This paper focuses on the major contributions to uncertainty in radar image based near field to far-field RCS measurement, by reviewing each of the principal sources of uncertainty, both random and systematic, and underlining possible error mitigation strategies.
可靠的雷达截面(RCS)测量需要复杂的仪器系统、昂贵的专用测试范围和操作,特别是在处理全尺寸目标时。因此,使用近场测试范围和非理想的消声环境进行RCS测量是一个非常有吸引力的选择。与这些主题相关的应用最近引起了越来越多的兴趣,特别是在低可观察平台和全尺寸组件的设计-原型循环中。为此,IDS已经开发和使用可靠的RCS测量解决方案和创新的处理技术超过十五年。本文通过回顾每个主要的不确定性来源(随机的和系统的),重点讨论了基于雷达图像的近场到远场RCS测量中的不确定性的主要贡献,并强调了可能的误差缓解策略。
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引用次数: 0
[M&N 2019 Copyright notice] [M&N 2019版权声明]
Pub Date : 2019-07-01 DOI: 10.1109/iwmn.2019.8805031
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引用次数: 0
Experimental Investigation on Weather Changes Influences on Wireless Localization System 天气变化对无线定位系统影响的实验研究
Pub Date : 2019-07-01 DOI: 10.1109/IWMN.2019.8805027
Dhouha El Houssaini, Amira Guesmi, Sabrine Khriji, T. Keutel, K. Besbes, O. Kanoun
Wireless Sensor Networks (WSNs) are widely explored because of their low cost, increasing capability of nodes, energy efficiency, accuracy and real time. A major issue is localization because it is based on the use of a number of sensor nodes deployed at unknown positions. Moreover, the need for more accurate and reliable localization system is increasing especially for certain applications, such as object tracking, surveillance, and disasters prediction. The reliability of the localization process should be investigated and external factors need to be considered in order to increase the accuracy of the localization. In this work, a localization system based on ultra-wide band technology is presented. The ranging system employs the two-way ranging method, which is based on the time of Arrival (ToA) technique. The DecaWave ranging system is, therefore, chosen for its high accuracy, which is about ±10 cm. To evaluate the proposed localization system, outdoor experiments were carried out, where the weather changes are considered. In this paper, the influences of weather changes on distance measurement are highlighted and a polynomial regression model for distance measurement prediction is provided with R-squared value of 78%. The regression model is designed to characterize the distance measurement variation in relevance to weather changes to enhance the localization system accuracy.
无线传感器网络(WSNs)以其成本低、节点容量大、能效高、精度高、实时性好等优点得到了广泛的应用。一个主要问题是定位,因为它是基于部署在未知位置的许多传感器节点的使用。此外,对更精确和可靠的定位系统的需求正在增加,特别是在某些应用中,如目标跟踪、监视和灾害预测。为了提高定位的准确性,需要研究定位过程的可靠性,并考虑外部因素。本文提出了一种基于超宽带技术的定位系统。该测距系统采用基于到达时间(ToA)技术的双向测距方法。因此,选择decwave测距系统是因为它的高精度,大约是±10厘米。为了评估所提出的定位系统,进行了室外实验,其中考虑了天气变化。本文着重分析了天气变化对距离测量的影响,给出了一个r平方值为78%的多项式回归模型。设计回归模型来描述与天气变化相关的距离测量变化,以提高定位系统的精度。
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引用次数: 5
期刊
2019 IEEE International Symposium on Measurements & Networking (M&N)
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