2018 IEEE SENSORS最新文献

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Visualization of Spatial Distribution of on Ground Gas Sources with LSPR based 1D/2D High Speed Gas Sensor Robot System 基于LSPR的一维/二维高速气体传感器机器人地面气源空间分布可视化
2018 IEEE SENSORS Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589909
Zhongyuan Yang, Takaaki Soeda, F. Sassa, K. Hayashi
{"title":"Visualization of Spatial Distribution of on Ground Gas Sources with LSPR based 1D/2D High Speed Gas Sensor Robot System","authors":"Zhongyuan Yang, Takaaki Soeda, F. Sassa, K. Hayashi","doi":"10.1109/ICSENS.2018.8589909","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589909","url":null,"abstract":"Various odor robots have been developed for gas source localization in plume with specific algorithm. However, sensor response speed is now a major limit for the promotion of odor robot using chemical substances information. In this research, we have fabricated a Localized surface plasmon resonance based gas sensor which can show a quick response to gas molecular at a high speed of above 25Hz. The sensor was mounted on a mobile robot for gas sources detection successfully. Furthermore, a two-dimensional gas sensor based on the same technique was developed for visualization of spatial distribution of gas flow.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115324841","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
Continuous Cuffless Blood Pressure Measurement Using Body Sensors 使用身体传感器进行连续无袖带血压测量
2018 IEEE SENSORS Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8630294
F. Heydari, M. P. Ebrahim, Taiyang Wu, Katie Walker, K. Joe, Jean-Michel Redouté, M. Yuce
{"title":"Continuous Cuffless Blood Pressure Measurement Using Body Sensors","authors":"F. Heydari, M. P. Ebrahim, Taiyang Wu, Katie Walker, K. Joe, Jean-Michel Redouté, M. Yuce","doi":"10.1109/ICSENS.2018.8630294","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8630294","url":null,"abstract":"Non-invasive cuffless blood pressure (BP) measurement using pulse arrival time (PAT) offers some unique features for healthcare applications including improved wearability and user-friendly BP monitoring. Researchers have mostly been using electrocardiography (ECG) and photoplesthysmography (PPG) signals to measure PAT, which requires at least two separate attachments to the subject's body. In this paper, human cuffless systolic BP (SBP) calculations using the shoulders bioimpedance (BImp) signal were investigated and compared to PPG (left ear sensor) and oscillometric sphygmomanometric SBP (left upper arm). The BImp sensors were placed on subject's shoulder and could be completely hidden under their clothes. In order to calculate different BP trends, two groups of experimental conditions (mainly postures and exercises) were followed. Data was obtained from 43 volunteer participants whilst they were sitting, standing and supine, and 26 subjects then cycled on an exercise bike with light, moderate and heavy resistance settings. Four different mathematical models for calculating SBP were compared for accuracy, using both BImp and PPG signal data. Overall, the results of SBP calculation with BImp based PATs were 2% more accurate than that of PATs extracted from PPG.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116543490","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: 8
Planar SIW Cavity Based RF Sensor for Air Bubble Detection in Medical Industry 基于平面SIW腔的射频传感器用于医疗行业的气泡检测
2018 IEEE SENSORS Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589676
N. Tiwari, D. Mondal, A. Jha, M. Akhtar
{"title":"Planar SIW Cavity Based RF Sensor for Air Bubble Detection in Medical Industry","authors":"N. Tiwari, D. Mondal, A. Jha, M. Akhtar","doi":"10.1109/ICSENS.2018.8589676","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589676","url":null,"abstract":"A novel planar RF sensor using the SIW cavity technique, operating at 2.45 GHz of the ISM band, is designed and presented for the air bubble detection dedicated to the medical industry. The proposed sensor is quite compact that requires only few microliter volume of the test liquid to effectively detect the air bubble inside the patient's IV line with high accuracy. The sensor design and optimization is realized using the full-wave numerical software, the CST-MWS in order to obtain the desired performance at the frequency of interest. The parameters of the proposed RF sensor are optimized such that its operating frequency corresponds to the dominant TE101 mode. The novel feed mechanism used in the proposed sensor helps to obtain the improved Q-factor as compared to conventional planar resonant sensors. The prototype of the proposed sensor is fabricated on a 1.6 mm thick, Rogers RT5880 substrate. The scattering parameters of the fabricated sensor under the unloaded condition are measured and are found to closely match with the corresponding simulated data which actually validates the proposed design. Thereafter, various liquid chemicals are measured to record the change in measured resonant frequency in accordance with their dielectric constant. Finally, the proposed scheme is successfully tested for the detection of an air bubble inside the patient's typical IV saline line under practical condition.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122376632","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
An Effective Gas Sensor Array Optimization Method Based on Random Forest* 一种有效的基于随机森林的气体传感器阵列优化方法
2018 IEEE SENSORS Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589580
G. Wei, Jie Zhao, Zechuan Yu, Yanli Feng, Gang Li, Xue-Rong Sun
{"title":"An Effective Gas Sensor Array Optimization Method Based on Random Forest*","authors":"G. Wei, Jie Zhao, Zechuan Yu, Yanli Feng, Gang Li, Xue-Rong Sun","doi":"10.1109/ICSENS.2018.8589580","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589580","url":null,"abstract":"The quality of gas sensor array is directly related to the performance of the electronic nose, which makes the optimization of sensor array a key issue in the study of electronic noses. A new sensor array optimization method is proposed based on Random Forest by using the Gini importance as the new measure of sensor contributions. An optimal sensor array of two sensors is built up targeting to classify CO, CH4 and their mixtures from an initial array composed of six sensors based on the method. Recognition results with the selected and other sensors by Random Forest, Back Propagation Neural Network and Support Vector Machine prove the effectiveness of the proposed array optimization algorithm.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122410352","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: 16
Acoustic Wireless Power and Data Telemetry for Structural Health Monitoring 结构健康监测的声学无线电源和数据遥测
2018 IEEE SENSORS Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589762
Xinyao Tang, M. Sameer, S. Mandal
{"title":"Acoustic Wireless Power and Data Telemetry for Structural Health Monitoring","authors":"Xinyao Tang, M. Sameer, S. Mandal","doi":"10.1109/ICSENS.2018.8589762","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589762","url":null,"abstract":"This paper proposes wireless power and data telemetry based on acoustic guided waves that travel on or through structures to enable acoustically-coupled sensor networks for structural health monitoring (SHM) of complex structures such as aircraft. Specifically, we develop adaptive Lamb-wave beamforming techniques using linear piezoelectric transducer arrays to enhance power transfer efficiency and telemetry targeting accuracy. GaN-based power amplifiers (up to 80 Vpp) and tunable low pass filter (LPF) banks (0.1-2.0 MHz) under adaptive control by an FPGA are implemented to drive such arrays. Binary frequency shift keying (BFSK) modulated on the power waveform is also proposed for data transfer in such reverberative and dispersive media. Optimal frequencies are investigated to maximize power transmission and minimize the bit error rate (BER). The proposed telemetry approach is experimentally evaluated on an SHM test bed for a drive level of 20 Vpp and achieves a power transfer of ~ 225.5 µ W at 0.5 m and a BER of 10−4 at 80 bps.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122548338","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: 5
Nickel Based Printed Resistance Temperature Detector on Flexible Polyimide Substrate 柔性聚酰亚胺基板镍基印刷电阻温度检测器
2018 IEEE SENSORS Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589549
V. Turkani, B. B. Narakathu, D. Maddipatla, B. Altay, P. D. Fleming, B. Bazuin, M. Atashbar
{"title":"Nickel Based Printed Resistance Temperature Detector on Flexible Polyimide Substrate","authors":"V. Turkani, B. B. Narakathu, D. Maddipatla, B. Altay, P. D. Fleming, B. Bazuin, M. Atashbar","doi":"10.1109/ICSENS.2018.8589549","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589549","url":null,"abstract":"A fully printed nickel (Ni) based resistance temperature detector (RTD) was successfully developed for temperature sensing applications in the automobile, agricultural and consumer electronic industries. The RTD was fabricated by depositing nickel (Ni) ink on a flexible polyimide (PI) substrate using screen printing process. The capability of the printed RTD was demonstrated by measuring its resistive response for temperatures varying from −60°C to 180 °C, in steps of 20°C and its sensing characteristics such as linearity, sensitivity and repeatability were analyzed. The printed RTD demonstrated a linear response with resistive changes as high as 109% at 180°C, when compared to its base resistance (9.6 k Ω) at −60°C. A temperature coefficient of resistance (TCR) of 0.45%/°C, with a correlation coefficient of 0.94 was calculated for the printed RTD. In addition, the transient response of the printed RTD demonstrated a good repeatability towards dynamic heating and cooling cycles.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122935358","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: 10
Defect Control in MoO3 Nanostructures as Ethanol Sensor MoO3纳米结构乙醇传感器的缺陷控制
2018 IEEE SENSORS Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589925
Biswajit Mandal, Aaryashrec, R. Bhardwaj, Mangal Das, D. S. Sharma, M. Htay, S. Mukherjee
{"title":"Defect Control in MoO3 Nanostructures as Ethanol Sensor","authors":"Biswajit Mandal, Aaryashrec, R. Bhardwaj, Mangal Das, D. S. Sharma, M. Htay, S. Mukherjee","doi":"10.1109/ICSENS.2018.8589925","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589925","url":null,"abstract":"Transformation of Moo3nanobelts into Moo3 nanofibers with high surface defect has been achieved by the application of pulsed temperature during hydrothermal growth. Moo3nanobelts and nanofibers are characterized by field emission scanning electron microscopy (FESEM), x-ray diffraction (XRD), transmission electron microscopy (TEM), high-resolution transmission electron microscopy (HR-TEM), and surface area analysis by nitrogen adsorption-desorption technique. Results clearly revealed that high crystalline, lower thickness, high surface area, and high surface defects are present in the Moo3 nanofibers as compare to Moo3 nanobelts. Furthermore, ethanol sensing properties of these M003 nanobelts and Moo3 nanofibers were examined, where Moo3 nanofibers show superior ethanol sensing properties due to the above mention advantages in Moo3 nanofibers.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114056451","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
A Smart Multi-Sensor for the Diagnosis of Distribution Transformers 一种用于配电变压器诊断的智能多传感器
2018 IEEE SENSORS Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589667
J. R. C. Faria, David M. C. Lima, F. Cardoso
{"title":"A Smart Multi-Sensor for the Diagnosis of Distribution Transformers","authors":"J. R. C. Faria, David M. C. Lima, F. Cardoso","doi":"10.1109/ICSENS.2018.8589667","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589667","url":null,"abstract":"The solution presented here addresses the condition monitoring and diagnosis of distribution transformers. An innovative autonomous multi-sensing unit is proposed, comprising a number of different sensors to supervise several critical variables associated with the transformer's operational performance. The combination and continuous study of these different elements enables predictive maintenance techniques, thus allowing a timely response to both trends and single events found in the apparatus under observation, which will decisively contribute to reduce outages and to improve the overall quality of service.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122151694","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
Arrow Shaped Microcantilever Beams for Enhancing Mass Sensitivity 用于提高质量灵敏度的箭头形微悬臂梁
2018 IEEE SENSORS Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589838
A. Ashok, Nagesh Kumar Sahu, P. Pal, A. Pandey
{"title":"Arrow Shaped Microcantilever Beams for Enhancing Mass Sensitivity","authors":"A. Ashok, Nagesh Kumar Sahu, P. Pal, A. Pandey","doi":"10.1109/ICSENS.2018.8589838","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589838","url":null,"abstract":"In this work, we present design and analysis of microcantilever beams based on arrow shape for enhanced sensitivity of mass detection. The proposed microcantilever beams were fabricated from silicon dioxide material using wet bulk micromachining in 25 wt% TMAH at 75 ·C, Vibration analysis of the microcantilever beams were carried out using laser vibrometer. Further, a FEM software, ANSYS, was used to analyze the resonance frequency and mass sensitivity of proposed microcantilever beams. In addition, effects of rectangular step length and width on the resonance frequency of proposed microcantilever beams have been investigated. The fundamental resonance frequency and mass sensitivity of a proposed microcantilever design are found to be improved by 48% and 283%, respectively, as compared to those of conventional rectangular profile microcantilever beam.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129951088","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
Application of Signal Flow Network on Calibration Capacitive Rotary Encoder 信号流网络在电容式旋转编码器标定中的应用
2018 IEEE SENSORS Pub Date : 2018-10-01 DOI: 10.1109/ICSENS.2018.8589956
Bo Hou, Zhenyi Gao, Cao Li, Qi Wei, Bin Zhou, Rong Zhang
{"title":"Application of Signal Flow Network on Calibration Capacitive Rotary Encoder","authors":"Bo Hou, Zhenyi Gao, Cao Li, Qi Wei, Bin Zhou, Rong Zhang","doi":"10.1109/ICSENS.2018.8589956","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589956","url":null,"abstract":"The paper proposes an offline self-calibration scheme about establishing a signal flow network(SNF) to calibrate capacitive rotary encoder. This scheme proposes to simulate the flow of signals and store model parameter information in each node of the network. Unlike traditional optimization algorithms, the intermediate variables in the proposed solution are considered in the optimization pipeline, with the ability to converge fast and accurately. The proposed scheme no longer uses the traditional model linearization method. Instead, the method uses a nonlinear model to establish the network structure, ensures the independence of parameters, and uses an in-depth learning algorithm for improving the convergence speed as well as ability to a global optimal solution. According to the simulation results, the method proposed here is able to get good accuracy of identification, with a relative error of identification below 0.01‰. The validity of the method have also been verified in experiments and the error after the compensation is reduced to 13.02%. The reasons for the inconsistency between simulation and experiment were analyzed. Although the compensation effect is limited, it provides a new method to calibrate capacitive rotary encoder.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128733699","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
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