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2022 IEEE Sensors最新文献

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Federated Learning for Masked Psoriasis Severity Classification 隐蔽性银屑病严重程度分类的联邦学习
Pub Date : 2022-10-30 DOI: 10.1109/SENSORS52175.2022.9967333
C.‐I. Moon, Jiwon Lee, Seula Kye, Yoosang Baek, Onseok Lee
Psoriasis is a chronic skin disease that has various appearances and severity depending on the patient, and it requires continuous observation of the disease during several months of treatment. It is difficult to track changes in psoriasis severity using a patient's personal device owing to data security issues. Recently, convolutional neural networks (CNN) and federated learning (FL) approaches for data security have shown remarkable performance in vision tasks on medical images. However, in a client environment, disease images acquired from personal devices are unconstrained, and data loss can occur because of various environmental and physical noises. We used masking modeling to overcome data deformation and damage. In addition, we propose a masked attention model to improve the severity classification performance by extracting discriminative severity features from the masked image. As a result, when the masking ratio was set to 0.5, the severity classification of the FL-based masked attention model yielded the best classification performance, with an F1-score of 0.88. Psoriasis severity classification using the proposed method ensured data security and was robustly performed even during data deformation and damage.
牛皮癣是一种慢性皮肤病,根据患者的不同表现和严重程度不同,需要在几个月的治疗期间持续观察病情。由于数据安全问题,很难使用患者的个人设备跟踪牛皮癣严重程度的变化。近年来,卷积神经网络(CNN)和联邦学习(FL)的数据安全方法在医学图像的视觉任务中表现出了显著的性能。然而,在客户端环境中,从个人设备获取的疾病图像是不受约束的,由于各种环境和物理噪声,可能会发生数据丢失。我们使用掩蔽建模来克服数据变形和损坏。此外,我们提出了一种屏蔽注意力模型,通过从被屏蔽图像中提取判别性的严重性特征来提高严重性分类性能。结果表明,当掩蔽比设置为0.5时,基于fl的掩蔽注意模型的严重性分类效果最好,f1得分为0.88。基于该方法的银屑病严重程度分类确保了数据的安全性,并且即使在数据变形和损坏时也能稳健地执行。
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引用次数: 0
Leakage Sensor Placement Optimization Using Acoustic Attenuation Features in Water Mains 利用声学衰减特征优化水管中泄漏传感器的布置
Pub Date : 2022-10-30 DOI: 10.1109/SENSORS52175.2022.9967248
Akihiro Koyama, Y. Sugita, A. Isobe, Yudai Kamada, M. Degawa, Toshiyuki Mine, T. Kawamoto
Leakage detection using integrated wireless vibration sensors has been minimizing labor in water pipe networks. Specifically, vibration sensors with a built-in low-noise micro-electro-mechanical systems (MEMS) accelerometer can detect leakage-induced acoustic waves at long ranges. Automatic sensor placement optimization provides sufficient coverage and minimizes the required number of sensors. This can save weeks of manual labor selecting the installation positions of 1,000 or more sensors in a city-scale pipe network. However, the detection distance of a vibration sensor varies based on the piping conditions around the sensor installation position, often causing mismatching between estimated and actual coverage. Therefore, we propose a novel sensor placement optimization method that utilizes the acoustic attenuation features of water piping structures. We successfully utilize it with a city-scale pipe network and optimize placement of 2,997 sensors in one day. We achieve coverage of over 95% regardless of the piping conditions, indicating our method would be sufficient for practical use.
使用集成无线振动传感器进行泄漏检测,可以最大限度地减少管网中的人工。具体来说,带有内置低噪声微机电系统(MEMS)加速度计的振动传感器可以在远距离检测泄漏引起的声波。自动传感器放置优化提供了足够的覆盖范围,并最大限度地减少了所需的传感器数量。这可以节省数周的手工劳动,在城市规模的管网中选择1,000个或更多传感器的安装位置。然而,振动传感器的检测距离会根据传感器安装位置周围的管道状况而变化,这往往会导致估计覆盖范围与实际覆盖范围不匹配。因此,我们提出了一种利用水管结构声衰减特性的传感器布置优化方法。我们成功地将其用于城市规模的管网,并在一天内优化了2,997个传感器的位置。无论管道状况如何,我们都实现了95%以上的覆盖率,这表明我们的方法足以用于实际应用。
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引用次数: 1
Theoretical Modeling and Experimental Validation of Reverse Electrowetting on Dielectric (REWOD) Through Flexible Electrodes For Self-Powered Sensor Applications 基于柔性电极的介质反电润湿(REWOD)理论建模与实验验证
Pub Date : 2022-10-30 DOI: 10.1109/SENSORS52175.2022.9967270
Karthik Kakaraparty, Gretchen S. Hyer, Erik A. Pineda, R. Reid, I. Mahbub
In this paper, theoretical modeling and experimental validation of REWOD energy harvesting based on flexible electrodes for self-powered sensor applications have been investigated. Much of REWOD's research has focused on planar electrodes that have an inflexible, rigid surface and use high bias voltages to increase output power, which undermines the goals of self-powered wearable motion sensors. This article implements REWOD-based energy harvesting using two dissimilar flexible electrodes. Electron beam physical vapor deposition (EBPVD) is used to coat the material onto a polyimide film. A comparative analysis between theoretical model data and experimental measurement data has been conducted.
本文研究了基于柔性电极的自供电传感器REWOD能量收集的理论建模和实验验证。REWOD的大部分研究都集中在平面电极上,这种电极具有不灵活的刚性表面,并且使用高偏置电压来增加输出功率,这破坏了自供电可穿戴运动传感器的目标。本文使用两个不同的柔性电极实现了基于rewood的能量收集。电子束物理气相沉积(EBPVD)用于将材料涂覆在聚酰亚胺薄膜上。对理论模型数据和实验测量数据进行了对比分析。
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引用次数: 1
How to Maintain Accuracy of Open Cavity Polymer Based Relative Humidity Sensors 如何保持开腔聚合物相对湿度传感器的精度
Pub Date : 2022-10-30 DOI: 10.1109/SENSORS52175.2022.9967236
Christy She, J. Wyatt, Rujuta Munje, Pavani Tenneti, Alex Thompson
For relative humidity sensors the sensing element needs to be in direct contact with environmental moisture to allow transmission of moisture into the sensing material. Thus, an open cavity package is required for relative humidity sensors. As a result, the sensing material is always exposed to the external environment for the lifetime of the device. The sensing material may get exposed to environmental factors such as chemicals, dust, as well as extreme temperature and humidity conditions which may increase the error in accuracy beyond the datasheet specifications. This paper demonstrates a novel technique of offset error correction as well as different industrial packaging practices to mitigate the shift in accuracy of the device. This facilitates maintaining device accuracy for an extended lifetime which eliminates the need for system recalibration by end users saving cost and time.
对于相对湿度传感器,传感元件需要与环境水分直接接触,以允许水分传输到传感材料中。因此,相对湿度传感器需要一个开腔封装。因此,在设备的使用寿命期间,传感材料总是暴露在外部环境中。传感材料可能暴露于环境因素,如化学品,灰尘,以及极端的温度和湿度条件,这可能会增加超出数据表规格的精度误差。本文演示了一种新的偏移误差校正技术,以及不同的工业包装实践,以减轻设备精度的变化。这有助于延长设备的使用寿命,从而消除了最终用户对系统重新校准的需要,节省了成本和时间。
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引用次数: 0
Effects of the Bias Magnetic Field and Annealing on the Magnetization of Terfenol-D Films 偏置磁场和退火对Terfenol-D薄膜磁化性能的影响
Pub Date : 2022-10-30 DOI: 10.1109/SENSORS52175.2022.9967057
Keli Zhao, Yuhui Zhang, Guangyao Pei, Jian Luo, B. Ma
Amorphous Terfenol-D $(text{Tb}_{0.3} text{Dy}_{0.7} text{Fe}_{2})$ film with high magnetization in weak fields is essential to weak magnetic sensors. The influences of a constant 100 Oe magnetic field parallel to the film plane during the deposition are studied. Then the film was annealed at different temperatures to discuss the effects of annealing on the magnetization of Terfenol-D film. The magnetization of Terfenol-D film could be enhanced by incremental saturation magnetization and decreased effective anisotropy constant. The magnetization at 100 Oe of 0.47 emu/g was obtained with the annealing at 600°C for 10 minutes.
无定形Terfenol-D $(text{Tb}_{0.3} text{Dy}_{0.7} text{Fe}_{2})$薄膜在弱磁场中具有高磁化强度,是弱磁传感器必不可少的材料。研究了平行于薄膜平面的恒定100 Oe磁场对沉积过程的影响。然后在不同温度下对薄膜进行退火,讨论退火对Terfenol-D薄膜磁化性能的影响。增加饱和磁化强度和减小有效各向异性常数可以增强Terfenol-D薄膜的磁化强度。在600℃下退火10 min,获得了100 Oe 0.47 emu/g的磁化强度。
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引用次数: 0
Perception System based on Cooperative Fusion of Lidar and Cameras 基于激光雷达与相机协同融合的感知系统
Pub Date : 2022-10-30 DOI: 10.1109/SENSORS52175.2022.9967331
Martin D. Dimitrievski, D. V. Hamme, Wilfried Philips
This paper proposes a novel sensor fusion method capable of detection and tracking of road users under nominal as well as in border cases of system operation. The proposed method is based on a sensor-agnostic Bayesian late fusion framework, augmented with an optional exchange of detector activation information between sensors, referred to as cooperative feedback. Experimental evaluation confirms that we obtain competitive detection and tracking performance in normal operation. The main benefit of the proposed method is in cases of sensor failure where, due to the probabilistic modeling, we observed significant improvements of both detection and tracking accuracy over the state of the art.
本文提出了一种新的传感器融合方法,能够在系统运行的名义和边界情况下检测和跟踪道路使用者。该方法基于与传感器无关的贝叶斯后期融合框架,增强了传感器之间探测器激活信息的可选交换,称为合作反馈。实验评价表明,在正常运行情况下,我们获得了具有竞争力的检测和跟踪性能。所提出的方法的主要优点是在传感器故障的情况下,由于概率建模,我们观察到检测和跟踪精度比现有技术水平都有显着提高。
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引用次数: 0
Indoor spatial-environment measurement using ultra-wideband positioning system 利用超宽带定位系统进行室内空间环境测量
Pub Date : 2022-10-30 DOI: 10.1109/SENSORS52175.2022.9967251
Mayu Yoshikawa, Shinichiro Mito, H. Kanasugi
This paper presents a robust, reliable, and compact three-dimensional (3D) environment visualization system that uses ultra-wideband (UWB) position estimation. This method enables quick and effortless spatial environment measurements with low computation costs. The UWB location estimation uses wireless communication to provide high flexibility and accuracy in measurements. We developed a prototype system that combines UWB and environmental sensors to collect temperature, luminance, and location data in a real space. The prototype is compact and collects environmental information efficiently. Furthermore, the spatial distribution of the collected ambient data of an object can be visualized in 3D using it. The results show that the prototype system with UWB is suitable for measuring indoor environmental data.
本文提出了一种鲁棒、可靠、紧凑的超宽带(UWB)位置估计三维环境可视化系统。该方法实现了快速、轻松的空间环境测量,计算成本低。超宽带位置估计采用无线通信技术,具有很高的测量灵活性和准确性。我们开发了一个原型系统,该系统结合了超宽带和环境传感器,可以在真实空间中收集温度、亮度和位置数据。原型机结构紧凑,能有效地收集环境信息。此外,收集到的物体周围数据的空间分布可以在三维中可视化。结果表明,该UWB原型系统适用于室内环境数据的测量。
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引用次数: 1
A Study of Bone Formation Subsequent to Intramedullary Fluid Pressure Fluctuations in Young and Old Rats 幼龄和老年大鼠髓内液压力波动后骨形成的研究
Pub Date : 2022-10-30 DOI: 10.1109/SENSORS52175.2022.9967229
M. L. Haider, Danyah Nashawi, Ziyu Chen, Mohammad Salman Parvez, A. S. Sanchez, Teresa Le, R. Prisby, J. Lee
Osteoporosis is a major health care concern. In addition to medication, mechanical loading (e.g., exercise) can augment bone mass to alleviate or delay osteoporosis. Reports in the literature indicate that the stimuli initiating bone remodeling with mechanical loading are fluctuations in intramedullary pressure and interstitial fluid flow. Methodologies designed to altered intramedullary pressure and fluid flow involve infection susceptible and external oscillatory equipment. We report preliminary data indicating enhanced bone formation in rat femora by use of polydimethylsiloxane (PDMS) based pressure modulating micropump, which alters intramedullary pressure. These pressure alterations are sensed and recorded via a wireless pressure sensor system for real-time measurement of bone intrameduallry pressure. With only 10 minutes of pressure fluctuation and 7 days of recovery, new bone volume formation in the rats tended (p=0.09) to be higher in femora receiving pressure modulation vs. the contralateral control bone. These results suggest that our system may be efficacious in augmenting bone mass.
骨质疏松症是一个主要的保健问题。除药物外,机械负荷(如运动)可以增加骨量以减轻或延缓骨质疏松症。文献报道表明,在机械负荷下启动骨重塑的刺激因素是髓内压力和间质液流量的波动。设计用于改变髓内压力和流体流动的方法涉及易感染和外部振荡设备。我们报告的初步数据表明,使用基于聚二甲基硅氧烷(PDMS)的压力调节微泵可以改变髓内压力,从而增强大鼠股骨骨形成。这些压力变化通过无线压力传感器系统感知和记录,用于实时测量骨内压力。压力波动时间仅为10分钟,恢复时间为7天,与对侧对照骨相比,接受压力调节的股骨新生骨体积形成倾向于(p=0.09)更高。这些结果表明,我们的系统可能是有效的增加骨量。
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引用次数: 0
An Inkjet-Printed Piezoresistive Bidirectional Flow Sensor 一种喷墨印刷压阻式双向流量传感器
Pub Date : 2022-10-30 DOI: 10.1109/SENSORS52175.2022.9967262
Debarun Sengupta, Srikanth Birudula, H. Wörtche, A. Kottapalli
This work reports the fabrication of a titanium carbide nanoparticle-based inkjet printed flexible bidirectional flow sensor. The design of the flow sensor consists of an inkjet printed titanium carbide piezoresistive strain gauge on a polyester cantilever. The sensors demonstrated a normalized flow sensitivity of 1.043/(ms-1) in the velocity range ~ 0.15 - 0.55 m/s (for water flow). The fabrication method reported in this work potentially opens a new direction for fabrication of a class of robust, repeatable, and inexpensive flexible flow sensors.
本工作报道了碳化钛纳米颗粒喷墨打印柔性双向流量传感器的制备。流量传感器的设计包括一个喷墨打印的碳化钛压阻应变片在聚酯悬臂上。在~ 0.15 ~ 0.55 m/s(水流)流速范围内,传感器的归一化流量灵敏度为1.043/(ms-1)。在这项工作中报道的制造方法可能为制造一类坚固、可重复、廉价的柔性流量传感器开辟了新的方向。
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引用次数: 0
Wearable Perspiration Volume Sensor Using Dual-Frequency Impedance Measurement 采用双频阻抗测量的可穿戴式汗液量传感器
Pub Date : 2022-10-30 DOI: 10.1109/SENSORS52175.2022.9967003
Ryo Takamatsu, Shogo Amano, S. Izumi, Hiroshi Ohta, T. Nezu, Yuki Noda, T. Araki, T. Uemura, T. Sekitani, H. Kawaguchi
In recent years, the increase in the number of heat stroke patients has become a social problem. Heat stroke occurs indoors at home in many cases. This paper focuses on the measurement of sweat rate using a wearable device to prevent heat stroke in the indoor environment. In the proposed method, textile-based electrodes impregnated in fiber materials are used to measure the impedance of the skin. As sweating lowers the impedance of the skin, the amount of sweating can be estimated from the impedance change between the electrodes. However, the method using impedance has a problem in distinguishing the effects of water volume and salinity. To address this problem, dual-frequency impedance measurement is proposed in this paper. The proposed method utilizes the fact that impedance variations due to water volume and salinity changes have different frequency characteristics. The measurement results indicate that the proposed method can measure impedance while considering changes in the water volume and salinity.
近年来,中暑患者数量的增加已成为一个社会问题。中暑在很多情况下发生在室内。本文主要研究了在室内环境中使用可穿戴设备测量出汗率以防止中暑。在该方法中,利用浸渍在纤维材料中的纺织品电极来测量皮肤的阻抗。由于出汗降低了皮肤的阻抗,出汗的量可以从电极之间的阻抗变化来估计。然而,使用阻抗的方法在区分水量和盐度的影响方面存在问题。为了解决这一问题,本文提出了双频阻抗测量方法。该方法利用了由水量和盐度变化引起的阻抗变化具有不同频率特性的事实。测量结果表明,该方法可以在考虑水量和盐度变化的情况下测量阻抗。
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引用次数: 0
期刊
2022 IEEE Sensors
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