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2021 IEEE Sensors Applications Symposium (SAS)最新文献

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A low-power embedded system for fire monitoring and detection using a multilayer perceptron 一种使用多层感知器的低功耗嵌入式火灾监测和探测系统
Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530090
Alexios Papaioannou, Panagiotis Verikios, C. Kouzinopoulos, D. Ioannidis, D. Tzovaras
Fire monitoring and detection systems can evaluate data from environmental or image sensors in order to predict occurrences of fire. It is a complex procedure that requires a significant amount of energy as input data is usually acquired from multiple sensors and the algorithms generally have an increased complexity. This paper introduces a low-power fire monitoring and detection system that utilizes data from two environmental sensors. As a predictive algorithm for fire occurrences, it uses a multilayer perceptron (MLP) with a combination of different optimizations, developing a model with low memory requirements and high -accuracy predictions. The accuracy of the proposed system was verified using a dataset created by the environmental sensors for fire incidents and its performance was compared to existing approaches. An evaluation of the proposed system's power consumption and memory requirements is also presented.
火灾监测和探测系统可以评估来自环境或图像传感器的数据,以便预测火灾的发生。这是一个复杂的过程,需要大量的能量,因为输入数据通常是从多个传感器获取的,而且算法通常具有增加的复杂性。本文介绍了一种利用两个环境传感器数据的低功耗火灾监测探测系统。作为火灾发生的预测算法,它使用多层感知器(MLP)结合不同的优化,开发具有低内存要求和高精度预测的模型。使用由火灾事故环境传感器创建的数据集验证了所提出系统的准确性,并将其性能与现有方法进行了比较。对系统的功耗和内存需求进行了评估。
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引用次数: 1
Next Generation Geophysical Assessment System 下一代地球物理评估系统
Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530095
Gray D. Thurston, J. Schmalzel, B. Barrowes
Electromagnetic induction has been utilized in the past by the United States Army Corps of Engineers as a method of detecting unexploded ordinance. Recently an EMI instrument was built that extended the traditional EMI frequency range from 100 kHz to 15 MHz to aid in the detection of nonmetallic ordinance, landmines, and improvised explosive devices. Extending that research, the iFROST mapper was built to use the same HFEMI technique to characterize arctic soil and subsurface permafrost deposits. This paper details the original iFROST mapper software and hardware systems as well as a new HFEMI device that improves on the original iFROST mapper design.
电磁感应过去曾被美国陆军工程兵团用作探测未爆炸弹药的方法。最近制造了一种EMI仪器,将传统的EMI频率范围从100 kHz扩展到15 MHz,以帮助探测非金属法令,地雷和简易爆炸装置。在这项研究的基础上,iFROST绘图仪使用了相同的HFEMI技术来描述北极土壤和地下永久冻土沉积物的特征。本文详细介绍了原始的iFROST映射器软件和硬件系统,以及在原始iFROST映射器设计基础上改进的新型HFEMI设备。
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引用次数: 0
A Semi-Analytical Method for Modelling of EC Probes for Detection of Thin Defects in Metals 金属薄型缺陷检测EC探针的半解析建模方法
Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530168
Shourya Mukherjee, Tapabrata Sen, C. Anoop, S. Sen
In this paper, a novel, simplified semi-analytical approach for modelling and performance study of Eddy-Current (EC) probes has been proposed for detecting thin defects in nonmagnetic, metallic objects. The proposed technique is based on the volume integral form of Biot-Savart law. The expression of the net magnetic field, at a suitable point in the probe, is evaluated. Thus, the methodology is suitable for integrated magnetic sensor-based EC-probes. The semi-analytical method is applied to two different probe configurations, and their responses are derived. The performance of the proposed technique is comparable to simulation results from commercial finite-element-based software and experimental results obtained using hardware prototypes of the EC probes. Thus, this paper provides a simple mathematical approach for analyzing EC-based defect detection problems.
本文提出了一种新的、简化的半解析方法,用于涡流(EC)探针的建模和性能研究,用于检测非磁性金属物体中的薄缺陷。提出的技术是基于体积积分形式的Biot-Savart定律。计算了探针中合适点处的净磁场表达式。因此,该方法适用于基于集成磁传感器的ec探针。将半解析方法应用于两种不同的探针结构,并推导了它们的响应。该技术的性能可与基于商业有限元软件的仿真结果和使用EC探针硬件原型获得的实验结果相媲美。因此,本文提供了一种简单的数学方法来分析基于ec的缺陷检测问题。
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引用次数: 0
A Non-Intrusive Ultrasonic Sensor System for Water Flow Rate Measurement 一种非侵入式超声波流量测量系统
Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530165
S. Mileiko, Oktay Cetinkaya, A. Yakovlev, Domenico Balsamo
Ultrasonic technologies have established themselves as optimal solutions for water flow rate measurement thanks to the high reliability and efficiency they offer. However, the existing applications often require ultrasonic sensors to be embedded in pipes, i.e., intrusive, which significantly increases initial deployment and maintenance costs. Considering the volume of employment, one to each house, the water meters have to be designed in a way that the consumers can deploy and maintain them without any skilled labourer. Hence, this paper proposes a delta time-of-flight $(Delta ToF)$ -based non-intrusive sensor system for plug-and-play ultrasonic water flow rate metering. After introducing the measurement theory and our proposed design, we experimentally evaluated the performance of three different ΔToF calculation methods in terms of memory and computation requirements through a dedicated testbed consisting of a closed-loop multi-pipe layout. The results helped us to determine the optimal $Delta ToF$ method for the employed platform, which is then used to select the best sensor and housing setting that is operable even under the worst deployment conditions (pipe material, diameter). Compared to its intrusive counterparts, the proposed system achieved a sufficient level of precision $(pm 5.7%)$ and hence provided the possibility of replacing the conventional methods of intrusive water metering at the household level.
由于超声波技术提供的高可靠性和高效率,它已经成为水流测量的最佳解决方案。然而,现有的应用通常需要将超声波传感器嵌入管道中,即侵入式的,这大大增加了初始部署和维护成本。考虑到就业人数,每户一个,水表的设计必须使消费者能够在没有任何熟练工人的情况下部署和维护它们。因此,本文提出了一种基于delta飞行时间$( delta ToF)$的非侵入式传感器系统,用于即插即用超声波水流测量。在介绍了测量理论和我们提出的设计之后,我们通过一个由闭环多管布局组成的专用测试平台,实验评估了三种不同的ΔToF计算方法在内存和计算需求方面的性能。结果帮助我们确定了所使用平台的最佳$Delta ToF$方法,然后用于选择即使在最恶劣的部署条件(管道材料,直径)下也可操作的最佳传感器和外壳设置。与侵入式水表相比,所提出的系统达到了足够的精度$(pm 5.7%)$,因此提供了在家庭层面取代传统侵入式水表方法的可能性。
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引用次数: 2
FPGA Based Meteorological Monitoring Station 基于FPGA的气象监测站
Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530151
Víctor Asanza, Rebeca Estrada Pico, Danny Torres, S. Santillan, J. Cadena
In this paper, we propose to implement a meteorological monitoring station using embedded systems. This model is possible thanks to different sensors that enable us to measure several environmental parameters, such as i) relative humidity, ii) average ambient temperature, iii) soil humidity, iv) rain occurrence, and v) light intensity. The proposed system is based on a field-programmable gate array device (FPGA). The proposed design aims at ensuring high-resolution data acquisition and at predicting samples with precision and accuracy in real-time. To present the collected data, we develop also a web application with a simple and friendly user interface.
本文提出了一种利用嵌入式系统实现气象监测站的方案。这个模型是可能的,这要归功于不同的传感器,使我们能够测量几个环境参数,如i)相对湿度,ii)平均环境温度,iii)土壤湿度,iv)降雨发生,v)光照强度。该系统基于现场可编程门阵列器件(FPGA)。提出的设计旨在确保高分辨率的数据采集,并实时准确地预测样本。为了展示收集到的数据,我们还开发了一个具有简单友好用户界面的web应用程序。
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引用次数: 4
Anomaly detection concept for a non-invasive blood pressure measurement method in the ear 一种无创耳内血压测量方法的异常检测概念
Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530087
M. Diehl, T. Teichmann, J. Zeilfelder, W. Stork
In this paper, a concept for automated anomaly detection for a new method of blood pressure measurement in the ear is presented. When the external auditory canal is closed off airtight, the enlargement of the arteries during the heartbeat causes a volume change of the closed air chamber and thus a pressure fluctuation. Pressure measurement in the ear results in a signal waveform of very small amplitude with respect to the pulse wave and in relation to the sensor noise of currently available absolute pressure sensors. Under real conditions, the useful signals are always exposed to interfering influences such as superimposed motion and environmental artifacts. This results in the necessity of an automatic artifact detection as an important requirement for the analysis of the biosignals in a non-laboratory environment. Different concepts for automated anomaly detection were investigated using a standardized test protocol with test subjects and evaluated regarding their suitability. Context signals were included in the analysis as well as statistical methods were applied to the signal itself. The approach using a one-dimensional convolutional neural network (1DCNN) achieved the best results with an average recognition rate of 79 %. However, the inclusion of acceleration data was identified as a promising addition in specific motion scenarios.
本文提出了一种新的耳内血压测量方法的自动异常检测概念。当外耳道密闭时,心跳时动脉的扩张引起封闭气腔的体积变化,从而引起压力波动。耳内压力测量产生的信号波形相对于脉冲波和相对于目前可用的绝对压力传感器的传感器噪声而言,振幅非常小。在实际条件下,有用的信号总是受到叠加运动和环境伪影等干扰影响。这就导致了在非实验室环境中对生物信号进行分析的一项重要要求——自动伪影检测的必要性。使用标准化的测试方案和测试对象对自动异常检测的不同概念进行了研究,并评估了它们的适用性。分析中包括上下文信号,并将统计方法应用于信号本身。该方法采用一维卷积神经网络(1DCNN),平均识别率为79%,效果最好。然而,在特定的运动场景中,包含加速度数据被认为是一个有希望的补充。
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引用次数: 1
RGB-D Sensor Application for Non-Contact Neonatal Monitoring RGB-D传感器在非接触式新生儿监测中的应用
Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530044
Yasmina Souley Dosso, R. Selzler, K. Greenwood, J. Harrold, J. Green
RGB-D cameras have shown promise in noncontact monitoring of patients in the neonatal intensive care unit (NICU). This work conducts essential experiments to assess the suitability and safe use of the Intel RealSense SR300 camera for non-contact neonatal monitoring. Since a pulse oximeter monitoring the patient's oxygen saturation levels (SpO2) senses infrared light, and the RGB-D sensor has an infrared projector, this work investigates a safe camera distance to ensure that the projected infrared light from the camera does not interfere with the SpO2 signal. RGB-D data reflection artifacts from the Plexiglass surface are also explored for single- and double-walled incubators. To prevent from infrared interference and RGB-D data artifacts, we recommend placing the camera at a minimum distance of 40 cm for open beds, and 25 cm for closed incubators. The camera should also be mounted directly on the Plexiglass surface in closed incubators, especially for double-wall designs. We have developed a custom latex apparatus to adhere an SR300 camera to the outer surface of an incubator to avoid reflections while securely mounting the camera without requiring any modification to the incubator itself. This work provides critical information for safe and practical RGB-D camera application in non-contact neonatal monitoring.
RGB-D相机在新生儿重症监护病房(NICU)的非接触监测中显示出前景。本工作进行了必要的实验,以评估英特尔RealSense SR300相机用于非接触式新生儿监测的适用性和安全性。由于监测患者血氧饱和度(SpO2)的脉搏血氧仪可以感知红外光,而RGB-D传感器有一个红外投影仪,因此本研究研究了一个安全的摄像头距离,以确保摄像头投射的红外光不会干扰SpO2信号。RGB-D数据反射伪影从有机玻璃表面也探讨了单壁和双壁孵化器。为了防止红外干扰和RGB-D数据伪影,我们建议将摄像机放置在开放床的最小距离为40厘米,封闭孵化器的最小距离为25厘米。摄像机也应直接安装在封闭孵化器的有机玻璃表面,特别是对于双壁设计。我们开发了一种定制乳胶装置,将SR300相机粘附到培养箱的外表面,以避免反射,同时安全地安装相机,而无需对培养箱本身进行任何修改。这项工作为安全实用的RGB-D摄像机在非接触式新生儿监测中的应用提供了重要信息。
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引用次数: 3
Broadband Ultra-Sensitive Adiabatic Magnetometer 宽带超灵敏绝热磁强计
Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530142
I. Savukov, Young Jin Kim
We introduce a new ultra-sensitive adiabatic magnetometer that has a broad bandwidth and can operate in the presence of magnetic fields and gradients. It follows conceptually typical implementations of atomic magnetometers based on alkali-metal vapor cells and lasers for optical pumping and optical Faraday effect detection, while its unique feature is a measurement of an oscillating magnetic field along the probe beam direction at frequencies lower than the resonant frequency, proportional to a static magnetic field along the pump beam direction. The bandwidth of the adiabatic magnetometer scales as the strength of the field along the pump beam. From our theoretical studies it is expected that the adiabatic magnetometer can reach 1 fT sensitivity with a bandwidth of 10 kHz, which any type of atomic magnetometers cannot achieve. Among anticipated various applications of this adiabatic magnetometer are biomagnetic sensing, nuclear magnetic resonance detection, and alkali-metal density measurements. We experimentally conducted alkali-metal density measurements, as an example of applications.
我们介绍了一种新的超灵敏绝热磁强计,具有宽带宽,可以在磁场和梯度存在下工作。它遵循基于碱金属蒸汽电池和激光的原子磁强计的概念典型实现,用于光泵浦和光法拉第效应检测,而其独特之处在于测量沿探针光束方向的振荡磁场,频率低于谐振频率,与沿泵浦光束方向的静态磁场成正比。绝热磁强计的带宽与沿泵浦光束方向的磁场强度成正比。从我们的理论研究中,我们期望绝热磁强计可以达到1 fT的灵敏度,带宽为10 kHz,这是任何类型的原子磁强计都无法实现的。这种绝热磁强计的预期应用包括生物磁感应、核磁共振检测和碱金属密度测量。我们实验进行碱金属密度测量,作为应用的一个例子。
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引用次数: 0
Quantifying the glucose concentration in urine test strip with a color-calibrated imaging system 用彩色校准成像系统定量测定尿试纸中的葡萄糖浓度
Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530141
Cheng-Ru Li, Chih-Chung Yang, H. Tsai, Chun-Han Chou, Kuo-Cheng Huang, Yu-Hsuan Lin
Urine test paper is often used to roughly judge the course of certain diseases, such as diabetes. Excessive glucose in the urine will react with the chemicals in the test strip, and then show an appropriate color to provide human observation and judgment. Generally speaking, the color of the test strip can only tell the approximate glucose concentration in urine through visual observation. Accurate quantification must rely on professional electrochemical analysis equipment. In this study, an imaging system with color correction was developed to quantify the color of urine glucose test paper. Through the composition of high color rendering lighting, darkroom barrel and color algorithm, the measurement results successfully achieved color accuracy with a color deviation of less than 3. A color distribution display method that is more suitable for human observation has been successfully established. The method of swatch contribution analysis has also been developed to numerically quantify the glucose concentration in urine. The results show that the developed system can greatly improve the resolution of urine glucose test strip. This research provides a low-cost, high-quality detection concept that can be used for home medical diagnosis and related chronic disease applications.
尿检纸常用于粗略判断某些疾病的病程,如糖尿病。尿液中过量的葡萄糖会与试纸中的化学物质发生反应,然后显示出适当的颜色,供人观察和判断。一般来说,试纸条的颜色只能通过目测来判断尿液中葡萄糖的近似浓度。准确的定量必须依靠专业的电化学分析设备。在本研究中,开发了一种具有颜色校正的成像系统,用于量化尿糖试纸的颜色。通过高显色性照明、暗室桶和显色算法的组合,测量结果成功实现了显色偏差小于3的显色精度。成功地建立了一种更适合人类观察的色彩分布显示方法。样本贡献分析的方法也被开发用于数值量化尿中的葡萄糖浓度。结果表明,该系统可大大提高尿糖试纸的分辨率。本研究提供了一种低成本、高质量的检测概念,可用于家庭医疗诊断和相关慢性疾病的应用。
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引用次数: 0
Polycrystalline silicon photovoltaic harvesting for indoor IoT systems under red- far red artificial light 用于室内物联网系统的多晶硅光伏采集,在红-远红色人造光下
Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530063
M. Bruzzi, I. Cappelli, A. Fort, A. Pozzebon, M. Tani, V. Vignoli
This paper aims at demonstrating the feasibility of a LoRaWAN-based sensor node for temperature monitoring, autonomously powered by a polycrystalline silicon photovoltaic module with possible applications within the Internet of Things (loT) domain in the horticulture field. The commercial solar cell was characterized under two light sources: a conventional white 4000 K Light Emitting Diode (LED) and a red and far red (R:FR) lamp peaked at 655 nm and 730 nm. The sensor node is equipped with a RFM95x LoRa transceiver which proved to be a valid technology in those application scenarios where robustness and low power consumption are required. The energy harvesting features are performed by a nano-power boost charger buck converter which deals with the power extraction from the photovoltaic module, the LiPo battery charging/discharging management and the supply of the sensor node. Field tests demonstrate that under R:fr light source, the energy self-sufficiency of the system is achieved: a positive balance between the battery charge and discharge is measured, sufficient both for the node working operation and for the battery charging.
本文旨在展示基于lorawan的温度监测传感器节点的可行性,该传感器节点由多晶硅光伏模块自主供电,可能应用于园艺领域的物联网(loT)领域。商用太阳能电池在两种光源下进行了表征:传统的白色4000 K发光二极管(LED)和红色和远红色(R:FR)灯,峰值在655nm和730nm。该传感器节点配备了RFM95x LoRa收发器,该收发器在需要鲁棒性和低功耗的应用场景中被证明是一种有效的技术。能量收集功能由纳米功率升压充电器buck转换器完成,该转换器处理光伏组件的功率提取、LiPo电池充放电管理和传感器节点的供电。现场测试表明,在光源R:fr条件下,系统实现了能量自给,电池充放电达到正平衡,既满足节点工作运行,又满足电池充电。
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引用次数: 6
期刊
2021 IEEE Sensors Applications Symposium (SAS)
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