2019 IEEE SENSORSPub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956724
A. Pouryazdan, Júlio C. Costa, R. Prance, H. Prance, N. Münzenrieder
{"title":"Non-contact long range AC voltage measurement","authors":"A. Pouryazdan, Júlio C. Costa, R. Prance, H. Prance, N. Münzenrieder","doi":"10.1109/SENSORS43011.2019.8956724","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956724","url":null,"abstract":"Safety requirements and physical constraints often prohibit contacting high voltage terminals. This limits the options for monitoring and maintaining high voltage machinery and power distribution grids. We present a non-contact AC (alternating current) voltage and frequency measurement system with 600 mm of operation range to overcome this issue. The method relies on measuring the electric potential of an AC voltage source using a single capacitive electrometer. Simultaneously, the distance from the AC source is measured using time-of-flight sensors. By combining the data from both sensors, AC voltages can be measured accurately without the need for any galvanic contact. The system is packaged in a handheld battery powered form factor. Measurements of voltages between 25 VRMS and 250 VRMS and distances from 25 mm to 600 mm demonstrated accuracy within 4%. Furthermore, frequencies between 5 Hz to 500 Hz were measured with 10 mHz of resolution. The presented technique can be used as a test and measurement instrument where the source terminals are inaccessible or as a wearable safety device in high-voltage environments.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"40 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81775316","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}
2019 IEEE SENSORSPub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956525
Omar Nassar, D. Mager, J. Korvink
{"title":"A Novel Sensor Design and Fabrication for Wireless Interventional MRI Through Induction Coupling","authors":"Omar Nassar, D. Mager, J. Korvink","doi":"10.1109/SENSORS43011.2019.8956525","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956525","url":null,"abstract":"Interventional magnetic resonance imaging (iMRI) using active MR-Catheters potentially has a great impact on the field of minimally invasive medical operations. Detector coils inside the patient act as antennas, coupled to the magnetic resonance radio frequency transmit field, thereby making the catheter visible in an MR environment. The elongated transmission conductor which is attached to the coil is coupled to the RF field as well. This coupling heats the conductor, causing dangerous tissues heating, which has hindered the clinical use of MR-catheters up to now. Transmitting the signal wirelessly through induction coupling, between the coil on the catheter’s tip and a surface coil outside the patient, is a feasible way to avoid using the conductive transmission wire. However, induction coupling still encounters problems regarding catheter orientation and frequency splitting. The purpose of this work is to present a mathematical model for the frequency splitting to facilitate the matching and tuning processes. Also, to propose a novel design of two perpendicular uncoupled coils on the catheter tip to keep coupling at all orientations. These coils were fabricated with a multilayer fabrication process for flexible electronics on the microscale.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"92 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84062941","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}
2019 IEEE SENSORSPub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956490
Yifei Wang, W. Yuan, Qinming Zhang, Yixuan Wang, M. Kimber, Liang Dong, Meng Lu
{"title":"Exosome microarray based on label-free imaging biosensor","authors":"Yifei Wang, W. Yuan, Qinming Zhang, Yixuan Wang, M. Kimber, Liang Dong, Meng Lu","doi":"10.1109/SENSORS43011.2019.8956490","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956490","url":null,"abstract":"Exosome vesicles (EVs) released by macrophages are potential biomarkers for the analysis of immune responses. This study reports a high-throughput EV detection assay developed using a label-free EV microarray. The EV microarray consists of a panel of seven antibodies that are specific to multiple membrane receptors of the target EVs. The EV microarray was fabricated on a photonic crystal (PC) biosensor surface. The hyperspectral imaging approached was implemented to quantify the antibody and EV absorptions on the PC-based microarray. The label-free EV microarray enables low-cost, rapid, and high-throughput characterization of macrophage EVs with a significantly reduced sample volume of 1 μL.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"6 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84078601","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}
2019 IEEE SENSORSPub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956628
Lintu Rajan, Arathy Varghese, C. Periasamy, V. Sahula
{"title":"Device Design Space Exploration of Thin Film Hydrogen Sensor Based on Macro-model Generated Using Machine Learning","authors":"Lintu Rajan, Arathy Varghese, C. Periasamy, V. Sahula","doi":"10.1109/SENSORS43011.2019.8956628","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956628","url":null,"abstract":"An efficient attempt has been performed towards device design optimization, using machine learning approach for exploration of design space of zinc oxide (ZnO) thin film Schottky diode based hydrogen sensor. We have adopted Least Square Support Vector Machine (LS-SVM) to build the regression model to predict the output behavior of ZnO thin film Schottky diode based hydrogen sensors. ATLAS package from SILVACO international has been used for generating data set, that is required to train the machine learning model. The hydrogen induced barrier height variations (Δϕb) at a wide range of temperature (300 K to 575 K) and wide range of ZnO thin film thickness (5 nm to 300 nm) have been calculated, which was used used for training the regression model. It has been observed that the proposed modeling scheme can serve a guide for fabrication of ZnO thin film based Schottky diode for hydrogen sensing applications.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"26 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80164466","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}
2019 IEEE SENSORSPub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956708
Shaikh M. Tousif, Z. Çelik-Butler
{"title":"MEMS Wideband Energy Harvesting using Array of Linear and Nonlinear Generators","authors":"Shaikh M. Tousif, Z. Çelik-Butler","doi":"10.1109/SENSORS43011.2019.8956708","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956708","url":null,"abstract":"A MEMS wideband energy harvesting array design using linear and nonlinear generators is reported in this paper. An array comprising of four electrostatic energy harvesters using linear, softening, hardening springs and mechanical stoppers connected in parallel can work over a wide frequency range. Novel nonlinear spring design produces spring softening and hardening behaviors. Mechanical stoppers further enhance the operating frequency range of the hardening spring energy harvester. Mathematical model of the electromechanical system is derived and optimized using MATLAB. The system is built using Coventorware/MEMS+®. Simulation results indicated a maximum normalized power density of 1.97 µWs4/cm3-m2 is achieved over 600 Hz-1350 Hz frequency range. Moreover, following the method developed in this work, the device size is reduced by 89% compared to traditional array design technique.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"55 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80422440","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}
2019 IEEE SENSORSPub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956559
Bryan Bohn, J. Olson, R. B. Gopaluni, B. Stoeber
{"title":"Sensing Concept for Practical Performance-Monitoring of Centrifugal Pumps","authors":"Bryan Bohn, J. Olson, R. B. Gopaluni, B. Stoeber","doi":"10.1109/SENSORS43011.2019.8956559","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956559","url":null,"abstract":"A sensing concept for quantifying the performance of centrifugal pumps is proposed herein. The system uniquely combines three measurement approaches: thermodynamic efficiency monitoring, vibration monitoring, and dynamic fluid pressure analysis. The instrumentation comprises five conventional sensors; two pressure transducers, two temperature sensors, and an accelerometer. Pressure and temperature measurements are collected at the pump intake and discharge, and vibration data is collected on the axial face of the pump volute. This study discusses the theoretical basis of the proposed system and puts forth a method intended to quantify thermal efficiency, the extent of impeller wear, and the presence of cavitation, vortexing, or flow recirculation. In practice, the proposed sensor system could be employed as a static installation or a portable tool. The sensing approach is suitable for a variety of pump configurations, fluid compositions, and operating conditions.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"14 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80720314","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}
2019 IEEE SENSORSPub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956867
D. F. Gomes, A. Zimbico, J. Maia, L. Neves, A. Assef, F. Schneider, E. Costa
{"title":"Sparse Arrays Method with Minimum Variance for High Quality Image in Ultrasound Ultrafast Imaging","authors":"D. F. Gomes, A. Zimbico, J. Maia, L. Neves, A. Assef, F. Schneider, E. Costa","doi":"10.1109/SENSORS43011.2019.8956867","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956867","url":null,"abstract":"Sparse arrays combined with Minimum Variance (SMV) beamformer is suggested to improve the data rate while maintaining the quality image of ultrafast ultrasound imaging. The motivation is that obtaining high quality images requires the acquisition, processing and storage of a large amount of data so that, with sparsity (disabled some array elements positions in the reception), the amount of data to be stored should be reduced in order to increase the scan rate. The experiments of the proposed method were performed using simulated and in-vivo dataset available in the PICMUS website. The tests were performed using 128 elements for transmission and 128, 65, 44, and 23 elements sparsely distributed in the reception. The performance evaluation has been done using the Full Width at Half Maximum (FWHM) and the Contrast Ratio (CR). Results showed that the images generated by the proposed method, with reduced number of active elements in the reception, were close to those provided by DAS in terms of spatial resolutions and contrast, indicating that the proposed SMV method is suitable for ultrasound imaging.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"114 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76347351","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}
2019 IEEE SENSORSPub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956749
Fengyuan Liu, Yogeenth Kumaresan, D. Shakthivel, N. Yogeswaran, R. Dahiya
{"title":"Large-area, Fast responding Flexible UV Photodetector realized by a Facile Method","authors":"Fengyuan Liu, Yogeenth Kumaresan, D. Shakthivel, N. Yogeswaran, R. Dahiya","doi":"10.1109/SENSORS43011.2019.8956749","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956749","url":null,"abstract":"This work demonstrates large-area, flexible UV photodetectors (PDs) by a facile drop-casting method using ZnO Nanowires (NWs). Benefitting from the Schottky contact, the as-realized device shows a fast response under UV light illumination, with the rise and decay time down to 200 ms and 100 ms, respectively. These devices were further examined under various bending conditions, which exhibited a stable and consistent performance with high photo to dark current ratio. This work paves the way for the future development of cost-effective high-performance flexible UV photodetectors.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"46 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81362895","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}
2019 IEEE SENSORSPub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956789
Sina Askari, Chi-Shih Jao, Yusheng Wang, A. Shkel
{"title":"Learning-Based Calibration Decision System for Bio-Inertial Motion Application","authors":"Sina Askari, Chi-Shih Jao, Yusheng Wang, A. Shkel","doi":"10.1109/SENSORS43011.2019.8956789","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956789","url":null,"abstract":"We developed a learning-based calibration algorithm for a vestibular prosthesis with the long-term goal of reproducing error-free vestibular system dynamic responses. Our approach uses an additional IMU to detect the head acceleration of a patient and to correct the corresponding drift in the vestibular prosthesis. The algorithm includes four major parts. First, we extract features from the shoe-mounted IMU to classify human activities through convolutional neural networks. Second, we fuse data from the head-mounted IMU (vestibular prosthesis). Third, we artificially create additional data samples from a small pool of training data for each classification class. Fourth, we use the classified activities to calibrate the reading from the head-mounted IMU. The results indicate that during daily routine activities the firing rate baseline of a vestibular prosthesis system without calibration fluctuates between 100 pulses/s to 150 pulses/s; in contrast, an appropriate calibration to human activity results in correction of 4 pulses/s in extreme cases, providing a stable baseline firing rate while the head is not moving. In this work, we specifically study the contribution of gyroscope scale factor on the drift of the vestibular prosthesis system and propose a corresponding calibration method.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"54 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90966596","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}
2019 IEEE SENSORSPub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956776
M. Talebi, Eiko Baeumker, K. Cobry, S. Sadir, A. Stroh, P. Woias
{"title":"Investigation of Slug Flow in Microchannel Boiling by Impedimetric Sensing","authors":"M. Talebi, Eiko Baeumker, K. Cobry, S. Sadir, A. Stroh, P. Woias","doi":"10.1109/SENSORS43011.2019.8956776","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956776","url":null,"abstract":"In this work, the possibility of using an AD5933 chip in an impedance logging system to monitor two-phase flow boiling in microchannels is investigated. Microchannel boiling flow regimes include bubbly, annular, churn, and slug flow. We have investigated the application of local impedance sensors to monitor boiling flow, specifically in the slug regime, as a demonstration case of the sensing concept. The logged impedance amplitude data from the AD5933 were validated by synchronized high-speed videos. Further post processing analysis of the results represents a great potential in using impedance sensing information on microchannel boiling by obtaining critical local information about the flow such as slug pulse width, slug frequency, and duty cycle.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"1 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89438627","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}