2021 IEEE SensorsPub Date : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639872
Lu Wang, Xiaodong Cai, Liang Cheng, Ke Han, Hemin Han, Lili Ma
{"title":"Experimentations and Analysis on Indoor Positioning through Fusion with Inertial Sensors and Dynamically Calibrated Wi-Fi FTM Ranging","authors":"Lu Wang, Xiaodong Cai, Liang Cheng, Ke Han, Hemin Han, Lili Ma","doi":"10.1109/SENSORS47087.2021.9639872","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639872","url":null,"abstract":"By fusing the relative inertial sensory data and Wi-Fi Fine Time Measurement (FTM) ranging which can be utilized to calculate absolute position through Extended Kalman Filter (EKF) fusion framework with an extra dynamical Wi-Fi FTM ranging calibration mechanism, the indoor positioning performance was evaluated. The result shows that the positioning error reaches down to 1.5 m in some certain environmental configurations. Analytical findings were retrieved from experimental setups that resemble various typical indoor scenarios. It shows promising result utilizing the widely applied inertial sensory algorithm such as Pedestrian Dead Reckoning (PDR), together with the Wi-Fi FTM capable access points.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"25 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73972292","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}
2021 IEEE SensorsPub Date : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639555
Yi Zhao, S. Liu, Xiaohui Li
{"title":"Radiographic inspection of Submerged Arc Welding using semantic segmentation","authors":"Yi Zhao, S. Liu, Xiaohui Li","doi":"10.1109/SENSORS47087.2021.9639555","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639555","url":null,"abstract":"Submerged Arc Welding (SAW) is one of the most applied technology in manufacturing structural shape, larger diameter petroleum pipe, pressure vessels, storage tanks and machine components for all types of heavy industry. Digital radiography (DR) enables non-destructive evaluation of SAW welds. However, data provided by most industrial DR imaging systems suffers from low resolution and contrast, high noise background which makes manual inspection a challenging task. Unlike conventional methods aiming at detection of weld defects, We focus on pixel-wise extraction of both welds and defects out of the radiographic frames via semantic segmentation. Experiments suggest that our method yields quality pixel-level inferences: the size, form and positions of the welds and defects. This could be more meaningful for further evaluations where the relative positions and morphological feature of welds and defects are needed.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"159 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74378769","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}
2021 IEEE SensorsPub Date : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639832
H. Richardson, Grace M. Maddocks, Kaila L. Peterson, Michael A. Daniele, S. Pavlidis
{"title":"Toward Subcutaneous Electrochemical Aptasensors for Neuropeptide Y","authors":"H. Richardson, Grace M. Maddocks, Kaila L. Peterson, Michael A. Daniele, S. Pavlidis","doi":"10.1109/SENSORS47087.2021.9639832","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639832","url":null,"abstract":"Subcutaneous sensors, similar to the continuous glucose monitor, are advantageous for identifying healthy and pathological patterns of circulating biomarkers. A biosensor for the detection of neuropeptide Y (NPY), a marker of stress, has been designed and tested for operation in a flexible microneedle form factor. The biosensing principle used is affinity binding of NPY to a DNA aptamer-functionalized electrode. A gold microelectrode was functionalized by formation of a self- assembled monolayer (SAM) of a thiol-modified NPY-binding aptamer and poly(ethylene glycol) methyl ether thiol (PEG). The sensors were evaluated by cyclic voltammetry and electrochemical impedance spectroscopy, resulting in a response to NPY over 400 pM to 200 nM when tested in KCl and K3[Fe(CN)6]/K4[Fe(CN)6], and PBS.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"6 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82499025","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}
2021 IEEE SensorsPub Date : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639685
Shihe Wang, Muhammad Salman Al Farisi, Jianlin Chen, T. Tsukamoto, Shuji Tanaka
{"title":"Dual-Mass Resonator with Dynamically Balanced Structure for Roll/Pitch Rate Integrating Gyroscope","authors":"Shihe Wang, Muhammad Salman Al Farisi, Jianlin Chen, T. Tsukamoto, Shuji Tanaka","doi":"10.1109/SENSORS47087.2021.9639685","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639685","url":null,"abstract":"In this paper, a degenerated in-plane and out-of-plane 2-axis resonators for roll/pitch rate integrating gyroscopes (RIGs) is reported. A dynamically balanced out-of-plane resonator is proposed to achieve small frequency mismatch between in-plane and out-of-plane modes, with high quality-factors (Q-factors). An innovative dual-mass structure was designed to reduce the torque applied to the supporting substrate in the out-of-plane mode, and thus increased the Q-factor. The concept was confirmed by both numerical simulation and the measurement of a real device. The finite element analysis (FEA) study showed the frequency mismatch as small as 6.3 Hz. Fabrication process using Au-Au thermo-compression bonding has been developed. The experimental characterization revealed that the mismatches of resonant frequencies and Q-factors were 106 Hz and 790, respectively.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"94 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75453592","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}
2021 IEEE SensorsPub Date : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639863
Kohei Shibata, Akihiro Uchiyama, Akira Onishi, S. Iida, T. Konishi, N. Ishihara, K. Machida, K. Masu, Hiroyuki Ito
{"title":"A Simplified Analytical Damping Constant Model for Perforated Proof Mass Structure of MEMS Capacitive Accelerometer by Multi-Layer Metal Technology","authors":"Kohei Shibata, Akihiro Uchiyama, Akira Onishi, S. Iida, T. Konishi, N. Ishihara, K. Machida, K. Masu, Hiroyuki Ito","doi":"10.1109/SENSORS47087.2021.9639863","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639863","url":null,"abstract":"This paper describes a simplified analytical model of a damping constant b to design a MEMS capacitive accelerometer by the multi-layer metal technology. The proposed model is introduced on the basis of combining the theoretical equation with the approximate form factor based on the measured data. In order to create the model, we fabricate several types of the MEMS capacitive accelerometers with the different structure parameters such as the etching hole area, the perforated proof mass area, and the gap. The calculation results show that the damping constant b by the proposed model is in accord with the measured b. Moreover, the Brownian noise BN calculated by the proposed model is also consistent with the measured BN. Therefore, it was confirmed that the proposed model will be effective for the analysis and the design of the MEMS capacitive accelerometer with the perforated proof mass.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"274 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75093928","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}
2021 IEEE SensorsPub Date : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639680
Y. Ge, Shibo Li, Minjian Shentu, Ahmad Taha, Shuyuan Zhu, Jonathan Cooper, M. Imran, Q. Abbasi
{"title":"A Doppler-based Human Activity Recognition System using WiFi Signals","authors":"Y. Ge, Shibo Li, Minjian Shentu, Ahmad Taha, Shuyuan Zhu, Jonathan Cooper, M. Imran, Q. Abbasi","doi":"10.1109/SENSORS47087.2021.9639680","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639680","url":null,"abstract":"WiFi-based human activity recognition has drawn a lot of attention in recent years due to the low cost and high popularity of WiFi devices. The wireless monitoring system is able to efficiently detect abnormal activities like falling and body shaking, without privacy invasion. In this paper, we propose a framework using Doppler Frequency Shift-based methodology to extract the features and classify different activities with channel state information collected from WiFi devices. The experimental results demonstrate the reliability of our method for the application of activity recognition.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"74 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74354041","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}
2021 IEEE SensorsPub Date : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639606
Maxence Rube, O. Tamarin, S. Hemour, Martine Sebeloue, Asawari Choudhari, I. Sadli, L. Linguet, D. Rebière, C. Dejous
{"title":"A behavior-descriptive model of Love Wave sensor in liquid medium for circuit-design and analysis with QucsStudio","authors":"Maxence Rube, O. Tamarin, S. Hemour, Martine Sebeloue, Asawari Choudhari, I. Sadli, L. Linguet, D. Rebière, C. Dejous","doi":"10.1109/SENSORS47087.2021.9639606","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639606","url":null,"abstract":"This work compiles an analytical mechanical model and frequency-defined descriptive equations into a RF model on QUCS Studio circuit simulator software. The developed model describes a Love Wave sensor with air or liquid at its surface and can be extended to all Surface Acoustic Wave devices. This open-source model also allows estimation of the sensor’s dynamic behavior to mechanical variations.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"39 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74392442","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}
2021 IEEE SensorsPub Date : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639252
Ryomei Wada, Naho Minowa, Takeru Wada, Manase Mizutani, Yoshihisa Suzuki, Yong-Joon Choi, Kazuhiro Takahashi, K. Sawada, T. Noda
{"title":"Functional validation of an additional device to the gas sensor for arbitrary control sensing properties","authors":"Ryomei Wada, Naho Minowa, Takeru Wada, Manase Mizutani, Yoshihisa Suzuki, Yong-Joon Choi, Kazuhiro Takahashi, K. Sawada, T. Noda","doi":"10.1109/SENSORS47087.2021.9639252","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639252","url":null,"abstract":"In this study, we demonstrate the first device that can effectively modulate the sensing properties of a gas sensor. Using our device, existing gas sensors can behave as pseudo-multiple sensors with different sensing selectivities. We fabricated a proof-of-concept device and verified the control of the response characteristics of the sensor by applying voltages. The results showed that the sensor output to each gas increased by 26.0% for ammonia, decreased by 54.3% for acetic acid, and did not change for ethanol when a voltage of 50 V was applied. Sensor variations in machine-learning-based gas and odor sensing are important. Our device realizes a pseudo-increase in the number of sensor variations that does not depend on the type of sensing membrane, which is revolutionary.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"31 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77764092","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}
2021 IEEE SensorsPub Date : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639647
Xiaoyu Wu, Wencheng Li, Shan He, Kai Yang, Yanyan Wang
{"title":"Plasmonic nanoparticles based flexible micro stripe pattern for cellular behavior regulation and localized pH detection","authors":"Xiaoyu Wu, Wencheng Li, Shan He, Kai Yang, Yanyan Wang","doi":"10.1109/SENSORS47087.2021.9639647","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639647","url":null,"abstract":"Extracellular microenvironment plays an important role in the growth, proliferation, differentiation and apoptosis of cells, the detection of biochemical microenvironment surrounding cells is highly desired in the early diagnosis of disease. This work reports a novel dual-functional platform which integrates the self-assembled gold nanorods array with flexible micro stripe pattern for cell regulation and localized pH detection. Through the restricted topography of the PDMS stipe pattern, HeLa cells show a morphology transition and orientation along the micro structure. Based on surface-enhanced Raman scattering (SERS) effect of gold nanorods array, the variation of pH level between regulated cells and unregulated counterpart can be detected. This strategy may propel a better understanding of cellular behavior regulation and its intrinsic mechanism, which builds a pathway to realize the early diagnosis and treatment of diseases.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"4 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79132457","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}
2021 IEEE SensorsPub Date : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639791
J. Villadangos, F. Falcone, A. Lopez-Martin, J. J. Astrain, P. Sanchis, Ignacio R. Matías
{"title":"Distributed Opportunistic Wireless Mapplicationing System towards Smart City Service Provision","authors":"J. Villadangos, F. Falcone, A. Lopez-Martin, J. J. Astrain, P. Sanchis, Ignacio R. Matías","doi":"10.1109/SENSORS47087.2021.9639791","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639791","url":null,"abstract":"The knowledge of wireless signal distribution within an urban scenario can provide useful information to users as well as to enhance connectivity and device operation or to perform municipal logistics based on crowd density and user mobility patterns. In this work, a distributed wireless mapplicationing system, based on a combination of opportunistic nodes such as smartphones which map geolocated WiFi access point connection and received power levels, and a cloud-based information gathering architecture is described. The proposed system and the developed tool has been tested in the framework of the Smart City platform of the city of Pamplona, providing signal distribution heat maps, which can be used for multiple municipal services.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"37 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83573032","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}