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2018 IEEE SENSORS最新文献

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Visualization of Spatial Distribution of on Ground Gas Sources with LSPR based 1D/2D High Speed Gas Sensor Robot System 基于LSPR的一维/二维高速气体传感器机器人地面气源空间分布可视化
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589909
Zhongyuan Yang, Takaaki Soeda, F. Sassa, K. Hayashi
Various odor robots have been developed for gas source localization in plume with specific algorithm. However, sensor response speed is now a major limit for the promotion of odor robot using chemical substances information. In this research, we have fabricated a Localized surface plasmon resonance based gas sensor which can show a quick response to gas molecular at a high speed of above 25Hz. The sensor was mounted on a mobile robot for gas sources detection successfully. Furthermore, a two-dimensional gas sensor based on the same technique was developed for visualization of spatial distribution of gas flow.
针对羽流中气源的定位,人们开发了各种气味机器人,并采用了特定的算法。然而,传感器的响应速度目前是限制使用化学物质信息的气味机器人推广的主要因素。在本研究中,我们制作了一个基于局部表面等离子体共振的气体传感器,该传感器可以在25Hz以上的高速下对气体分子产生快速响应。该传感器已成功安装在移动机器人上进行气源检测。在此基础上,开发了二维气体传感器,实现了气体流动空间分布的可视化。
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引用次数: 3
Continuous Cuffless Blood Pressure Measurement Using Body Sensors 使用身体传感器进行连续无袖带血压测量
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8630294
F. Heydari, M. P. Ebrahim, Taiyang Wu, Katie Walker, K. Joe, Jean-Michel Redouté, M. Yuce
Non-invasive cuffless blood pressure (BP) measurement using pulse arrival time (PAT) offers some unique features for healthcare applications including improved wearability and user-friendly BP monitoring. Researchers have mostly been using electrocardiography (ECG) and photoplesthysmography (PPG) signals to measure PAT, which requires at least two separate attachments to the subject's body. In this paper, human cuffless systolic BP (SBP) calculations using the shoulders bioimpedance (BImp) signal were investigated and compared to PPG (left ear sensor) and oscillometric sphygmomanometric SBP (left upper arm). The BImp sensors were placed on subject's shoulder and could be completely hidden under their clothes. In order to calculate different BP trends, two groups of experimental conditions (mainly postures and exercises) were followed. Data was obtained from 43 volunteer participants whilst they were sitting, standing and supine, and 26 subjects then cycled on an exercise bike with light, moderate and heavy resistance settings. Four different mathematical models for calculating SBP were compared for accuracy, using both BImp and PPG signal data. Overall, the results of SBP calculation with BImp based PATs were 2% more accurate than that of PATs extracted from PPG.
使用脉搏到达时间(PAT)的无创无袖套血压(BP)测量为医疗保健应用提供了一些独特的功能,包括改进的可穿戴性和用户友好的血压监测。研究人员大多使用心电图(ECG)和光电脉搏图(PPG)信号来测量PAT,这需要至少两个独立的附件连接到受试者的身体上。本文研究了使用肩部生物阻抗(BImp)信号计算人类无袖带收缩压(SBP),并与PPG(左耳传感器)和振荡血压计收缩压(左臂)进行了比较。BImp传感器被放置在受试者的肩膀上,可以完全隐藏在他们的衣服下面。为了计算不同的血压变化趋势,我们采用了两组实验条件(主要是姿势和运动)。研究人员从43名志愿者中获取了他们坐着、站着和仰卧的数据,然后再从26名志愿者中获取了在轻度、中度和重度阻力设置下骑健身自行车的数据。使用BImp和PPG信号数据,比较了计算收缩压的四种不同数学模型的准确性。总体而言,基于BImp的PATs计算收缩压的结果比从PPG中提取的PATs准确2%。
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引用次数: 8
Planar SIW Cavity Based RF Sensor for Air Bubble Detection in Medical Industry 基于平面SIW腔的射频传感器用于医疗行业的气泡检测
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589676
N. Tiwari, D. Mondal, A. Jha, M. Akhtar
A novel planar RF sensor using the SIW cavity technique, operating at 2.45 GHz of the ISM band, is designed and presented for the air bubble detection dedicated to the medical industry. The proposed sensor is quite compact that requires only few microliter volume of the test liquid to effectively detect the air bubble inside the patient's IV line with high accuracy. The sensor design and optimization is realized using the full-wave numerical software, the CST-MWS in order to obtain the desired performance at the frequency of interest. The parameters of the proposed RF sensor are optimized such that its operating frequency corresponds to the dominant TE101 mode. The novel feed mechanism used in the proposed sensor helps to obtain the improved Q-factor as compared to conventional planar resonant sensors. The prototype of the proposed sensor is fabricated on a 1.6 mm thick, Rogers RT5880 substrate. The scattering parameters of the fabricated sensor under the unloaded condition are measured and are found to closely match with the corresponding simulated data which actually validates the proposed design. Thereafter, various liquid chemicals are measured to record the change in measured resonant frequency in accordance with their dielectric constant. Finally, the proposed scheme is successfully tested for the detection of an air bubble inside the patient's typical IV saline line under practical condition.
设计并提出了一种基于SIW谐振腔技术的新型平面射频传感器,工作频率为2.45 GHz,用于医疗行业的气泡检测。所提出的传感器非常紧凑,只需要几微升的测试液体体积,就能有效地检测到患者静脉注射线内的气泡,并且精度很高。利用全波数值软件CST-MWS实现了传感器的设计和优化,以便在感兴趣的频率上获得所需的性能。所提出的射频传感器的参数进行了优化,使其工作频率对应于主导的TE101模式。与传统的平面谐振式传感器相比,该传感器采用的新型进给机构有助于获得更高的q因子。该传感器的原型是在1.6毫米厚的Rogers RT5880基板上制造的。对所制作的传感器在无载荷条件下的散射参数进行了测量,发现与相应的仿真数据吻合较好,从而验证了所提出的设计。然后,测量各种液体化学物质,记录被测谐振频率随其介电常数的变化。最后,在实际条件下,对所提出的方案进行了成功的测试,用于检测患者典型静脉盐水管内的气泡。
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引用次数: 3
An Effective Gas Sensor Array Optimization Method Based on Random Forest* 一种有效的基于随机森林的气体传感器阵列优化方法
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589580
G. Wei, Jie Zhao, Zechuan Yu, Yanli Feng, Gang Li, Xue-Rong Sun
The quality of gas sensor array is directly related to the performance of the electronic nose, which makes the optimization of sensor array a key issue in the study of electronic noses. A new sensor array optimization method is proposed based on Random Forest by using the Gini importance as the new measure of sensor contributions. An optimal sensor array of two sensors is built up targeting to classify CO, CH4 and their mixtures from an initial array composed of six sensors based on the method. Recognition results with the selected and other sensors by Random Forest, Back Propagation Neural Network and Support Vector Machine prove the effectiveness of the proposed array optimization algorithm.
气体传感器阵列的质量直接关系到电子鼻的性能,因此传感器阵列的优化是电子鼻研究中的一个关键问题。提出了一种基于随机森林的传感器阵列优化方法,将基尼重要度作为传感器贡献的新度量。基于该方法,构建了一个由2个传感器组成的最优传感器阵列,目标是对CO、CH4及其混合物进行分类。随机森林、反向传播神经网络和支持向量机对选定传感器和其他传感器的识别结果证明了该阵列优化算法的有效性。
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引用次数: 16
Acoustic Wireless Power and Data Telemetry for Structural Health Monitoring 结构健康监测的声学无线电源和数据遥测
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589762
Xinyao Tang, M. Sameer, S. Mandal
This paper proposes wireless power and data telemetry based on acoustic guided waves that travel on or through structures to enable acoustically-coupled sensor networks for structural health monitoring (SHM) of complex structures such as aircraft. Specifically, we develop adaptive Lamb-wave beamforming techniques using linear piezoelectric transducer arrays to enhance power transfer efficiency and telemetry targeting accuracy. GaN-based power amplifiers (up to 80 Vpp) and tunable low pass filter (LPF) banks (0.1-2.0 MHz) under adaptive control by an FPGA are implemented to drive such arrays. Binary frequency shift keying (BFSK) modulated on the power waveform is also proposed for data transfer in such reverberative and dispersive media. Optimal frequencies are investigated to maximize power transmission and minimize the bit error rate (BER). The proposed telemetry approach is experimentally evaluated on an SHM test bed for a drive level of 20 Vpp and achieves a power transfer of ~ 225.5 µ W at 0.5 m and a BER of 10−4 at 80 bps.
本文提出了基于在结构上或穿过结构的声导波的无线供电和数据遥测技术,以实现用于复杂结构(如飞机)结构健康监测(SHM)的声耦合传感器网络。具体而言,我们开发了使用线性压电传感器阵列的自适应兰姆波波束形成技术,以提高功率传输效率和遥测瞄准精度。基于gan的功率放大器(高达80 Vpp)和可调低通滤波器(LPF)组(0.1-2.0 MHz)在FPGA的自适应控制下实现驱动这种阵列。本文还提出了基于功率波形调制的二元频移键控(BFSK)技术,用于混响和色散介质中的数据传输。研究了最大传输功率和最小误码率的最优频率。在20 Vpp驱动电平的SHM试验台上对所提出的遥测方法进行了实验评估,在0.5 m处实现了~ 225.5 μ W的功率传输,在80 bps处实现了10−4的误码率。
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引用次数: 5
Nickel Based Printed Resistance Temperature Detector on Flexible Polyimide Substrate 柔性聚酰亚胺基板镍基印刷电阻温度检测器
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589549
V. Turkani, B. B. Narakathu, D. Maddipatla, B. Altay, P. D. Fleming, B. Bazuin, M. Atashbar
A fully printed nickel (Ni) based resistance temperature detector (RTD) was successfully developed for temperature sensing applications in the automobile, agricultural and consumer electronic industries. The RTD was fabricated by depositing nickel (Ni) ink on a flexible polyimide (PI) substrate using screen printing process. The capability of the printed RTD was demonstrated by measuring its resistive response for temperatures varying from −60°C to 180 °C, in steps of 20°C and its sensing characteristics such as linearity, sensitivity and repeatability were analyzed. The printed RTD demonstrated a linear response with resistive changes as high as 109% at 180°C, when compared to its base resistance (9.6 k Ω) at −60°C. A temperature coefficient of resistance (TCR) of 0.45%/°C, with a correlation coefficient of 0.94 was calculated for the printed RTD. In addition, the transient response of the printed RTD demonstrated a good repeatability towards dynamic heating and cooling cycles.
成功地开发了一种全印刷镍基电阻温度检测器(RTD),用于汽车,农业和消费电子行业的温度传感应用。采用丝网印刷工艺将镍(Ni)油墨沉积在柔性聚酰亚胺(PI)衬底上制备RTD。通过在- 60°C到180°C的温度范围内,以20°C为步长,测量了打印的RTD的电阻响应,并分析了其线性、灵敏度和可重复性等传感特性。与基电阻(9.6 k Ω)在−60℃时相比,打印的RTD在180°C时表现出高达109%的线性响应。计算得到的电阻温度系数(TCR)为0.45%/℃,相关系数为0.94。此外,打印的RTD的瞬态响应对动态加热和冷却循环具有良好的可重复性。
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引用次数: 10
Defect Control in MoO3 Nanostructures as Ethanol Sensor MoO3纳米结构乙醇传感器的缺陷控制
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589925
Biswajit Mandal, Aaryashrec, R. Bhardwaj, Mangal Das, D. S. Sharma, M. Htay, S. Mukherjee
Transformation of Moo3nanobelts into Moo3 nanofibers with high surface defect has been achieved by the application of pulsed temperature during hydrothermal growth. Moo3nanobelts and nanofibers are characterized by field emission scanning electron microscopy (FESEM), x-ray diffraction (XRD), transmission electron microscopy (TEM), high-resolution transmission electron microscopy (HR-TEM), and surface area analysis by nitrogen adsorption-desorption technique. Results clearly revealed that high crystalline, lower thickness, high surface area, and high surface defects are present in the Moo3 nanofibers as compare to Moo3 nanobelts. Furthermore, ethanol sensing properties of these M003 nanobelts and Moo3 nanofibers were examined, where Moo3 nanofibers show superior ethanol sensing properties due to the above mention advantages in Moo3 nanofibers.
利用水热生长的脉冲温度,实现了Moo3纳米带向高表面缺陷Moo3纳米纤维的转化。采用场发射扫描电镜(FESEM)、x射线衍射(XRD)、透射电镜(TEM)、高分辨率透射电镜(HR-TEM)和氮吸附-脱附技术对moo3纳米带和纳米纤维进行了表征。结果表明,与Moo3纳米带相比,Moo3纳米纤维具有高结晶性、低厚度、高表面积和高表面缺陷的特点。此外,研究了这些M003纳米带和Moo3纳米纤维的乙醇传感性能,其中Moo3纳米纤维由于Moo3纳米纤维的上述优点而表现出更优越的乙醇传感性能。
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引用次数: 1
A Smart Multi-Sensor for the Diagnosis of Distribution Transformers 一种用于配电变压器诊断的智能多传感器
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589667
J. R. C. Faria, David M. C. Lima, F. Cardoso
The solution presented here addresses the condition monitoring and diagnosis of distribution transformers. An innovative autonomous multi-sensing unit is proposed, comprising a number of different sensors to supervise several critical variables associated with the transformer's operational performance. The combination and continuous study of these different elements enables predictive maintenance techniques, thus allowing a timely response to both trends and single events found in the apparatus under observation, which will decisively contribute to reduce outages and to improve the overall quality of service.
本文提出了配电变压器状态监测与诊断的解决方案。提出了一种创新的自主多传感单元,包括许多不同的传感器来监督与变压器运行性能相关的几个关键变量。对这些不同元素的组合和持续研究使预测性维护技术成为可能,从而能够及时响应在观察设备中发现的趋势和单个事件,这将决定性地有助于减少停机并提高整体服务质量。
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引用次数: 2
Arrow Shaped Microcantilever Beams for Enhancing Mass Sensitivity 用于提高质量灵敏度的箭头形微悬臂梁
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589838
A. Ashok, Nagesh Kumar Sahu, P. Pal, A. Pandey
In this work, we present design and analysis of microcantilever beams based on arrow shape for enhanced sensitivity of mass detection. The proposed microcantilever beams were fabricated from silicon dioxide material using wet bulk micromachining in 25 wt% TMAH at 75 ·C, Vibration analysis of the microcantilever beams were carried out using laser vibrometer. Further, a FEM software, ANSYS, was used to analyze the resonance frequency and mass sensitivity of proposed microcantilever beams. In addition, effects of rectangular step length and width on the resonance frequency of proposed microcantilever beams have been investigated. The fundamental resonance frequency and mass sensitivity of a proposed microcantilever design are found to be improved by 48% and 283%, respectively, as compared to those of conventional rectangular profile microcantilever beam.
在这项工作中,我们提出了基于箭头形状的微悬臂梁的设计和分析,以提高质量检测的灵敏度。用二氧化硅材料在75·C、25 wt% TMAH条件下湿体微加工制备微悬臂梁,并利用激光测振仪对微悬臂梁进行振动分析。利用有限元分析软件ANSYS对微悬臂梁的谐振频率和质量灵敏度进行了分析。此外,还研究了矩形步长和步宽对微悬臂梁谐振频率的影响。与传统矩形微悬臂梁相比,该微悬臂梁的基本共振频率和质量灵敏度分别提高了48%和283%。
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引用次数: 2
Application of Signal Flow Network on Calibration Capacitive Rotary Encoder 信号流网络在电容式旋转编码器标定中的应用
Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589956
Bo Hou, Zhenyi Gao, Cao Li, Qi Wei, Bin Zhou, Rong Zhang
The paper proposes an offline self-calibration scheme about establishing a signal flow network(SNF) to calibrate capacitive rotary encoder. This scheme proposes to simulate the flow of signals and store model parameter information in each node of the network. Unlike traditional optimization algorithms, the intermediate variables in the proposed solution are considered in the optimization pipeline, with the ability to converge fast and accurately. The proposed scheme no longer uses the traditional model linearization method. Instead, the method uses a nonlinear model to establish the network structure, ensures the independence of parameters, and uses an in-depth learning algorithm for improving the convergence speed as well as ability to a global optimal solution. According to the simulation results, the method proposed here is able to get good accuracy of identification, with a relative error of identification below 0.01‰. The validity of the method have also been verified in experiments and the error after the compensation is reduced to 13.02%. The reasons for the inconsistency between simulation and experiment were analyzed. Although the compensation effect is limited, it provides a new method to calibrate capacitive rotary encoder.
提出了一种建立信号流网络(SNF)对电容式旋转编码器进行离线自校正的方案。该方案提出在网络的每个节点中模拟信号的流动并存储模型参数信息。与传统的优化算法不同,该算法在优化管道中考虑了中间变量,具有快速准确收敛的能力。该方案不再使用传统的模型线性化方法。该方法采用非线性模型建立网络结构,保证了参数的独立性,并采用深度学习算法提高了收敛速度和求全局最优解的能力。仿真结果表明,该方法能够获得较好的识别精度,识别的相对误差在0.01‰以下。实验验证了该方法的有效性,补偿后的误差降至13.02%。分析了仿真与实验结果不一致的原因。虽然补偿效果有限,但为电容式旋转编码器的标定提供了一种新的方法。
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引用次数: 1
期刊
2018 IEEE SENSORS
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