发布求助
文献互助 智能选刊 最新文献

2021 IEEE Sensors最新文献

筛选
英文 中文
Luminaire-based environmental sensing for comfort monitoring and control 用于舒适度监测和控制的基于光源的环境传感
2021 IEEE Sensors Pub Date : 2021-10-31 DOI: 10.1109/SENSORS47087.2021.9639731
A. Pandharipande, Martijn Lankhorst, Emmanuel Frimout
{"title":"Luminaire-based environmental sensing for comfort monitoring and control","authors":"A. Pandharipande, Martijn Lankhorst, Emmanuel Frimout","doi":"10.1109/SENSORS47087.2021.9639731","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639731","url":null,"abstract":"Various building applications use environmental sensing information in the form of temperature and relative humidity for controlling and monitoring to deliver comfortable environments to users. We present a multi-modal sensor system for delivering temperature and relative humidity data, where each multi-modal sensor is integrated into a luminaire of a lighting system. Fusion methods are presented to process raw sensor measurements to address two challenges in estimating temperature and relative humidity reliably around the user workspace: the sensors are located at the ceiling, and the sensor measurements are impacted by thermal variations due to luminaire dimming controls. The proposed sensing methods are evaluated in an experimental office setup and were shown to meet required levels of application performance.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"26 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":"80843129","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
Surface Micromachined Out-of-plane Electrostatic MEMS Actuator Integrated with Displacement Sensor 集成位移传感器的表面微加工面外静电MEMS致动器
2021 IEEE Sensors Pub Date : 2021-10-31 DOI: 10.1109/SENSORS47087.2021.9639643
Seyedfakhreddin Nabavi, M. Ménard, F. Nabki
{"title":"Surface Micromachined Out-of-plane Electrostatic MEMS Actuator Integrated with Displacement Sensor","authors":"Seyedfakhreddin Nabavi, M. Ménard, F. Nabki","doi":"10.1109/SENSORS47087.2021.9639643","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639643","url":null,"abstract":"We propose an out-of-plane electrostatic MEMS actuator capable of sensing its displacement. A repulsive force electrostatic arm is designed to form an actuator that push a suspended plate away from the substrate. A single capacitance sensing electrode is located beneath the moveable plate to measure the actuator vertical displacement. We demonstrate that the actuator, which was fabricated using a standard surface micromachining process, can provide a vertical displacement of 1.8 µm when excited with a 50 V DC voltage. This movement results in a reduction of the sensing electrode capacitance. Hence, the displacement of the actuator can be monitored as a function of the change in capacitance at the sensing electrode. This self-sensing feature allows the actuator to be utilized in closed-loop control systems as well as self-aligned optical platforms.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"62 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":"75092631","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: 4
Ionogel based material for the colorimetric detection of Δ9-tetrahydrocannabinol 用于Δ9-tetrahydrocannabinol比色检测的离子凝胶基材料
2021 IEEE Sensors Pub Date : 2021-10-31 DOI: 10.1109/sensors47087.2021.9639754
Raquel Catalan-Carrio, Guillermo Moreno-Sanz, L. Basabe‐Desmonts, F. Benito‐Lopez
{"title":"Ionogel based material for the colorimetric detection of Δ9-tetrahydrocannabinol","authors":"Raquel Catalan-Carrio, Guillermo Moreno-Sanz, L. Basabe‐Desmonts, F. Benito‐Lopez","doi":"10.1109/sensors47087.2021.9639754","DOIUrl":"https://doi.org/10.1109/sensors47087.2021.9639754","url":null,"abstract":"Cannabis sativa is the most widely abused illegal drug in the world. On the other hand, there is an increasing interest in the production of non-psychoactive industrial hemp for several applications, including the production of cannabidiol (CBD). This makes the easy and fast in situ detection of Δ9-tetrahydrocannabinol (THC), the illicit, psychoactive molecule that characterises drug-type cannabis a pressing need. It is here where detection mechanisms based on novel methodologies, e.g. microfluidics devices and new materials, offer interesting approaches that reduce reagents consumption and that minimise the generation of waste during the process. Moreover, fast analysis times and portability are of great importance to generate useful devices. Portability can be improved by using solid matrixes, where the detection mechanism could take place, such as an ionogel. In this work, we report for the first time the use of an ionogel matrix for the colorimetric detection of THC through the Fast Blue B Salt method. The integration of the Fast Blue B Salt into the ionogel matrix was studied as a first step in the development of a fully integrated sensor, for the identification of THC from hemp biomass and extracts.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"7 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":"80107566","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
Sapphire long-period grating fibers for potential refractive index sensing 用于潜在折射率传感的蓝宝石长周期光栅光纤
2021 IEEE Sensors Pub Date : 2021-10-31 DOI: 10.1109/SENSORS47087.2021.9639505
Mengchuan Xing, F. Surre, J. Sharp, H. Seat
{"title":"Sapphire long-period grating fibers for potential refractive index sensing","authors":"Mengchuan Xing, F. Surre, J. Sharp, H. Seat","doi":"10.1109/SENSORS47087.2021.9639505","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639505","url":null,"abstract":"Optical fiber sensors compare very favorably to conventional electronic sensors in many of today’s applications. However, due to material limitations, harsh environment sensing remains a challenge for both sensor types. In this work, laser-heated pedestal growth is used to fabricate geometry-modulated long-period gratings (LPGs) in single-crystal sapphire fibers. The grating coupling effect leading to effective transmission loss of approximately 80% at resonance wavelengths between 500-700 nm was clearly observed in preliminary tests with a 90 µm-period grating. The sensing feasibility of such grating was also confirmed in the refractive index measurement test, resulting prominent shifting of resonant wavelength with crossing wavelength varied by ~130 nm. The automated LHPG process incorporates a high degree of system flexibility and cost-effectiveness which potentially allows development of multifunctional harsh environment sensors in single crystal fibers.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"442 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":"77840266","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
Experimentations and Analysis on Indoor Positioning through Fusion with Inertial Sensors and Dynamically Calibrated Wi-Fi FTM Ranging 基于惯性传感器与动态校准Wi-Fi FTM测距融合的室内定位实验与分析
2021 IEEE Sensors Pub Date : 2021-10-31 DOI: 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}
引用次数: 1
Radiographic inspection of Submerged Arc Welding using semantic segmentation 基于语义分割的埋弧焊射线检测
2021 IEEE Sensors Pub Date : 2021-10-31 DOI: 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}
引用次数: 3
Toward Subcutaneous Electrochemical Aptasensors for Neuropeptide Y 神经肽Y的皮下电化学感应传感器研究
2021 IEEE Sensors Pub Date : 2021-10-31 DOI: 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}
引用次数: 1
Towards the Development of Soft Force and Pressure Sensors for Robot Safety Applications 机器人安全软力压力传感器的研制
2021 IEEE Sensors Pub Date : 2021-10-31 DOI: 10.1109/SENSORS47087.2021.9639838
Jennifer C. Case, N. Rangarajan, J. Falco, Kenneth Kimble
{"title":"Towards the Development of Soft Force and Pressure Sensors for Robot Safety Applications","authors":"Jennifer C. Case, N. Rangarajan, J. Falco, Kenneth Kimble","doi":"10.1109/SENSORS47087.2021.9639838","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639838","url":null,"abstract":"When collaborative robots impact humans, their body parts deform which can cause surface and deep pain. Onset of pain has been determined as an acceptable injury threshold in human-robot impacts and has been related to pressure. Therefore, it is necessary to measure pressure on deformable human body parts contacted by a robot. A pressure sensor appropriate for this purpose should deform with the body part and not introduce local stiffness. In this paper, we present the design and fabrication of a soft pressure sensor. We demonstrate that the sensor matches the biomechanical response of the human forearm and that its capacitance changes linearly with applied force. In the near future, we intend to embed this sensor in a biofidelic dummy arm, with long-term goals of designing a fully sensorized dummy to measure pain caused by impact with collaborative robots.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"28 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":"82170725","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
Improving MOSFET Piezoresistive Strain Gauges Limit of Detection Using Lock-In Principle 利用锁相原理改进MOSFET压阻应变片的检测极限
2021 IEEE Sensors Pub Date : 2021-10-31 DOI: 10.1109/SENSORS47087.2021.9639730
T. Delhaye, Nicolas Roisin, N. André, L. Francis, D. Flandre
{"title":"Improving MOSFET Piezoresistive Strain Gauges Limit of Detection Using Lock-In Principle","authors":"T. Delhaye, Nicolas Roisin, N. André, L. Francis, D. Flandre","doi":"10.1109/SENSORS47087.2021.9639730","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639730","url":null,"abstract":"In this work, we present a way to improve piezoresistive MOSFET strain gauges using Lock-In principle. This reduces the influence of 1/f-noise, showing a Limit of Detection (LoD) reduction from 474 (42) μϵ for current measurements to 40.5 (15) μϵ for Lock-In measurements at 10 μA (100μA) bias. This 1/f-noise reduction also allows for using more efficiently averaging, leading to a 50-fold improvement from 387 (30) μϵ for current measurements to 7.8 (2.4) μϵ for Lock-In, with 100 samples averaging.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"26 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":"82260050","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
Enabling Real-time Estimation of Borehole Parameters in Deep Drilling 实现深钻中钻孔参数的实时估计
2021 IEEE Sensors Pub Date : 2021-10-31 DOI: 10.1109/SENSORS47087.2021.9639721
S. S. Kandala, R. Shor
{"title":"Enabling Real-time Estimation of Borehole Parameters in Deep Drilling","authors":"S. S. Kandala, R. Shor","doi":"10.1109/SENSORS47087.2021.9639721","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639721","url":null,"abstract":"In this work, the evolution of friction factors across the depth of a horizontal wellbore, downhole rpm and downhole torque are obtained using a distributed drillstring model. The model has been field validated for the off-bottom dynamics and is used to estimate along-drillstring friction factors. This model was later extended to include a bit-rock interaction (BRI) law to obtain the downhole rpm and downhole torque while drilling and has been validated against the field data. The advantage of the model used in this work is that it employs an adaptive soft sensor, robust to capture the disturbances occurring at the downhole. Only the top-drive measurements are used to estimate friction factors (static and kinetic friction coefficients) and the downhole parameters using the soft sensor. Once the bit engages, the BRI takes precedence, and the model stops estimating the friction factors. The model is used to generate estimates for friction factors, the downhole rpm and BRI for a well located in North America. It was observed that in both the cases, the estimates match closely with that of the data considered.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"5 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":"86496030","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
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信