2021 IEEE Sensors Applications Symposium (SAS)最新文献_第3页

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

2021 IEEE Sensors Applications Symposium (SAS) Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530090

Alexios Papaioannou, Panagiotis Verikios, C. Kouzinopoulos, D. Ioannidis, D. Tzovaras

引用次数: 1

Next Generation Geophysical Assessment System 下一代地球物理评估系统

2021 IEEE Sensors Applications Symposium (SAS) Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530095

Gray D. Thurston, J. Schmalzel, B. Barrowes

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

2021 IEEE Sensors Applications Symposium (SAS) Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530168

Shourya Mukherjee, Tapabrata Sen, C. Anoop, S. Sen

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

2021 IEEE Sensors Applications Symposium (SAS) Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530165

S. Mileiko, Oktay Cetinkaya, A. Yakovlev, Domenico Balsamo

{"title":"A Non-Intrusive Ultrasonic Sensor System for Water Flow Rate Measurement","authors":"S. Mileiko, Oktay Cetinkaya, A. Yakovlev, Domenico Balsamo","doi":"10.1109/SAS51076.2021.9530165","DOIUrl":"https://doi.org/10.1109/SAS51076.2021.9530165","url":null,"abstract":"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.","PeriodicalId":224327,"journal":{"name":"2021 IEEE Sensors Applications Symposium (SAS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128105638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

FPGA Based Meteorological Monitoring Station 基于FPGA的气象监测站

2021 IEEE Sensors Applications Symposium (SAS) Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530151

Víctor Asanza, Rebeca Estrada Pico, Danny Torres, S. Santillan, J. Cadena

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

2021 IEEE Sensors Applications Symposium (SAS) Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530087

M. Diehl, T. Teichmann, J. Zeilfelder, W. Stork

{"title":"Anomaly detection concept for a non-invasive blood pressure measurement method in the ear","authors":"M. Diehl, T. Teichmann, J. Zeilfelder, W. Stork","doi":"10.1109/SAS51076.2021.9530087","DOIUrl":"https://doi.org/10.1109/SAS51076.2021.9530087","url":null,"abstract":"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.","PeriodicalId":224327,"journal":{"name":"2021 IEEE Sensors Applications Symposium (SAS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134433154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

2021 IEEE Sensors Applications Symposium (SAS) Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530044

Yasmina Souley Dosso, R. Selzler, K. Greenwood, J. Harrold, J. Green

{"title":"RGB-D Sensor Application for Non-Contact Neonatal Monitoring","authors":"Yasmina Souley Dosso, R. Selzler, K. Greenwood, J. Harrold, J. Green","doi":"10.1109/SAS51076.2021.9530044","DOIUrl":"https://doi.org/10.1109/SAS51076.2021.9530044","url":null,"abstract":"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.","PeriodicalId":224327,"journal":{"name":"2021 IEEE Sensors Applications Symposium (SAS)","volume":"395 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133513830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Broadband Ultra-Sensitive Adiabatic Magnetometer 宽带超灵敏绝热磁强计

2021 IEEE Sensors Applications Symposium (SAS) Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530142

I. Savukov, Young Jin Kim

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

2021 IEEE Sensors Applications Symposium (SAS) 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

{"title":"Quantifying the glucose concentration in urine test strip with a color-calibrated imaging system","authors":"Cheng-Ru Li, Chih-Chung Yang, H. Tsai, Chun-Han Chou, Kuo-Cheng Huang, Yu-Hsuan Lin","doi":"10.1109/SAS51076.2021.9530141","DOIUrl":"https://doi.org/10.1109/SAS51076.2021.9530141","url":null,"abstract":"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.","PeriodicalId":224327,"journal":{"name":"2021 IEEE Sensors Applications Symposium (SAS)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115867497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

2021 IEEE Sensors Applications Symposium (SAS) Pub Date : 2021-08-23 DOI: 10.1109/SAS51076.2021.9530063

M. Bruzzi, I. Cappelli, A. Fort, A. Pozzebon, M. Tani, V. Vignoli

{"title":"Polycrystalline silicon photovoltaic harvesting for indoor IoT systems under red- far red artificial light","authors":"M. Bruzzi, I. Cappelli, A. Fort, A. Pozzebon, M. Tani, V. Vignoli","doi":"10.1109/SAS51076.2021.9530063","DOIUrl":"https://doi.org/10.1109/SAS51076.2021.9530063","url":null,"abstract":"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.","PeriodicalId":224327,"journal":{"name":"2021 IEEE Sensors Applications Symposium (SAS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115141914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6