2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)最新文献

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Intra-Quantum Signal Acquisition Using Software Defined Radios 使用软件定义无线电进行量子内信号采集
Baptiste Laporte-Fauret, G. Ferré, D. Dallet, Bryce Minger, Loïc Fuché
{"title":"Intra-Quantum Signal Acquisition Using Software Defined Radios","authors":"Baptiste Laporte-Fauret, G. Ferré, D. Dallet, Bryce Minger, Loïc Fuché","doi":"10.1109/I2MTC.2019.8827034","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827034","url":null,"abstract":"This paper discusses a new required resolution of an Analog to Digital Converter (ADC) for the simultaneous acquisition of two single tone signals using Software Defined Radios (SDR). This issue was previously studied in the case of single tone signals. The main idea is to propose a new method to evaluate the resolution which fulfils a certain Dynamic Range in the case of multiple signals. Experimental results confirm our previous simulations and show we are able to acquire an intra-quantum signal due to the contribution of a stronger transmission which make it cross the quantum levels.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132368773","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
Metrological performance of a single-channel Brain-Computer Interface based on Motor Imagery 基于运动图像的单通道脑机接口的计量性能
L. Angrisani, P. Arpaia, Francesco Donnarumma, Antonio Esposito, N. Moccaldi, M. Parvis
{"title":"Metrological performance of a single-channel Brain-Computer Interface based on Motor Imagery","authors":"L. Angrisani, P. Arpaia, Francesco Donnarumma, Antonio Esposito, N. Moccaldi, M. Parvis","doi":"10.1109/I2MTC.2019.8827168","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827168","url":null,"abstract":"In this paper, the accuracy in classifying Motor Imagery (MI) tasks for a Brain-Computer Interface (BCI) is analyzed. Electroencephalographic (EEG) signals were taken into account, notably by employing one channel per time. Four classes were to distinguish, i.e. imagining the movement of left hand, right hand, feet, or tongue. The dataset ”2a” of BCI Competition IV (2008) was considered. Brain signals were processed by applying a short-time Fourier transform, a common spatial pattern filter for feature extraction, and a support vector machine for classification. With this work, the aim is to give a contribution to the development of wearable MI-based BCIs by relying on single channel EEG.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130462663","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
Health Indicator Extraction for Electro-Mechanical Actuator with CHMM CHMM机电致动器健康指标的提取
Yujie Zhang, Liansheng Liu, Min He, Dangxia Lyu, Yu Peng, Datong Liu
{"title":"Health Indicator Extraction for Electro-Mechanical Actuator with CHMM","authors":"Yujie Zhang, Liansheng Liu, Min He, Dangxia Lyu, Yu Peng, Datong Liu","doi":"10.1109/I2MTC.2019.8826930","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826930","url":null,"abstract":"Electro-Mechanical Actuator (EMA) has played an important role as there are more EMAs incorporated in the flight control actuation of More Electric Aircraft. However, the difficulty of EMA Health Indicator (HI) extraction caused by limitation of sensor installation hinders the development of EMA Prognostic and Health Management (PHM). As a result, to address this issue, a new HI extraction method based on Continuous Hidden Markov Model (CHMM) is proposed for EMA. In the CHMM-based HI extraction method, the monitoring data in health condition of EMA are utilized to train a CHMM with log-likelihood function. Based on the CHMM and the monitoring data in the degradation condition of EMA, the output of log-likelihood function for EMA degradation condition can be obtained, which implies the similarity between the degradation condition and health condition. Furthermore, the normalized similarity is used as an EMA HI. Thus, the sensors with high correlation to the extracted HI (i.e. normalized similarity) no longer need to be installed or can be removed. This study provides a new way of EMA HI extraction with the limitation of sensor installation. To validate the effectiveness of CHMM-based HI extraction method for EMA, experiments are conducted, in which the data derived from NASAs Flyable Electro-Mechanical Actuator (FLEA) test stand are utilized. Experimental results show that the CHMM-based method has a good performance in EMA HI extraction.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130612437","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
Monitoring the Crack Growth by Measurement of Diffracted Lamb Waves 用衍射兰姆波监测裂纹扩展
Bo Feng, Nuno Espada, H. Ramos, A. Ribeiro
{"title":"Monitoring the Crack Growth by Measurement of Diffracted Lamb Waves","authors":"Bo Feng, Nuno Espada, H. Ramos, A. Ribeiro","doi":"10.1109/I2MTC.2019.8826854","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826854","url":null,"abstract":"This article presents an application of ultrasonic Lamb waves to monitor the growth of a crack in an aluminum plate subject to mechanical fatigue. PZT sensors were fixed on both sides of the zone where a crack is expected to appear. The study was conducted by theoretical and experimental approaches. The diffraction Fresnel-Kirchhoff approximation was used to establish an estimate for the attenuation measured as a function of the crack length. A finite element program was equally used to estimate the propagation attenuation and the time of flight. The time of flight was compared with the value obtained considering simple ray propagation by diffraction on the crack’s tip. Finally the obtained data were compared with those obtained experimentally.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127903154","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
Mass-Spring-Damper Model Optimized with PSO of the Fluidic System in Liquid-Circular Angular Accelerometer 液-圆角加速度计流体系统质量-弹簧-阻尼器模型的粒子群优化
H. Fu, Meiling Wang, Siyuan Cheng, Tong Liu, Xuan Xiao, M. Fu
{"title":"Mass-Spring-Damper Model Optimized with PSO of the Fluidic System in Liquid-Circular Angular Accelerometer","authors":"H. Fu, Meiling Wang, Siyuan Cheng, Tong Liu, Xuan Xiao, M. Fu","doi":"10.1109/I2MTC.2019.8826901","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826901","url":null,"abstract":"This paper presents an optimized mass-spring-damper (MSD) model of the fluidic system in liquid-circular angular accelerometer (LCAA). The particle swarm optimization (PSO) is implemented to determine the parameters including stiffness of spring and damping coefficient in MSD model. The simulation results indicate that the proposed model manifests favorable consistency with the transient flow model whose validity has been proved. The influences of structure factors of LCAA, including radius of the tube and cross-sectional area of the tube, are analyzed in simulations, which are then verified by prototypes in experiments. The conclusions are used for structural optimum design. Eventually, the MSD model optimized with PSO is proved to be effective to predict frequency response of fluidic system.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129618559","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
Jitter Measurement in Digital Signals by Using Software Defined Radio Technology 用软件无线电技术测量数字信号中的抖动
G. Anthonys, M. Cree, L. Streeter
{"title":"Jitter Measurement in Digital Signals by Using Software Defined Radio Technology","authors":"G. Anthonys, M. Cree, L. Streeter","doi":"10.1109/I2MTC.2019.8826908","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826908","url":null,"abstract":"Here, we propose a method using software defined radio (SDR) technology to measure periodic and random jitter in a digital signal. Conventional methods to measure jitter required expensive measurement equipment. We use a cheap (less than US $40) SDR USB dongle to expose random and periodic jitter in the amplitude modulated light source of a range camera. By using Fourier analysis we generate an ideal reference signal to enable to extract jitter at the zero crossings of the signal under test. We measure jitter with SDR receiver and more conventionally a real-time digital oscilloscope. From the SDR receiver, we find the periodic jitter at low frequency and compare to the oscilloscope results. We demonstrate that periodic and random jitter can be detected on a RF signal with consumer priced products provided that the jitter frequency less within the bandwidth of the receiver.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117127219","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
Pulse-Shaping Feed-Forward-Compensated Generator 脉冲整形前馈补偿发电机
S. Seshadri, Jonathan B. Scott
{"title":"Pulse-Shaping Feed-Forward-Compensated Generator","authors":"S. Seshadri, Jonathan B. Scott","doi":"10.1109/I2MTC.2019.8826843","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826843","url":null,"abstract":"A typical electrical stimulator has a battery, step-up converter, voltage regulator, pulse generator with a micro-controller providing the clocking signal. This outputs a step response with a specified amplitude and pulse-width. In this work, Single-Ended Primary Inductance Converter (SEPIC) and Cúk converters are built to output a step response without the requirement of a voltage regulator and a pulse generator. The transfer function of both instruments predict a step response that will overshoot but settle to steady-state. This is true when the drive is of a fixed duty cycle. The main contribution of this manuscript is to show that the overshoot can be reduced or completely removed by sending an irregular pulse waveform to the switch, determined from the transfer function of the converters. Sufficiently adjusting the duty cycles of drive pulses forces the converter to rapidly reach steady-state value. As a result, a programmable converter delivers a well-formed pulse of specific length without the need for additional circuitry.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120964826","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
Impact of Data Model on Performance of Time Series Database for Internet of Things Applications 物联网应用中数据模型对时间序列数据库性能的影响
S. Rinaldi, Federico Bonafini, P. Ferrari, A. Flammini, E. Sisinni, D. Bianchini
{"title":"Impact of Data Model on Performance of Time Series Database for Internet of Things Applications","authors":"S. Rinaldi, Federico Bonafini, P. Ferrari, A. Flammini, E. Sisinni, D. Bianchini","doi":"10.1109/I2MTC.2019.8827164","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827164","url":null,"abstract":"The Internet of Things (IoT) paradigm is gaining interest in several application fields, from medical devices to smart building and industrial automation. Such a success is due to the flexibility and interoperability between different application domains: the possibility to vertically share data among applications is the winning point of this technology. IoT sensors installed on the field generate a large amount of data, which have to be stored somewhere for subsequent analysis. Database technologies are experiencing a deep transformation to be able to handle these data streams. The recent trend is a transition from relational to non-relational databases. Among the latter, the Time Series Databases (TSDBs) seem to be the solution for storing large amount of time series data generated by IoT applications. Although these solutions are optimized to handle thousands of parallel data streams from IoT sensors, the performance of data extraction could not be compatible with some applications. The target of the paper is to investigate the impact that different metadata could have over the data extraction performance in TSDBs. A dedicated testing procedure has been configured for evaluating InfluxDB, one of the most effective and widespread TSDBs. The performance analysis, carried out on a specific use case, demonstrated that the database write and read performance can be significantly affected by the used data model, with queries executed on the same data requiring times from hundreds of ms to seconds in the worst cases.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116378727","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: 7
Visual inspection of CFRP laminates based on EIT 基于EIT的CFRP层合板目视检测
W. Fan, Jingyao Li, Z. Cui, Huaxiang Wang
{"title":"Visual inspection of CFRP laminates based on EIT","authors":"W. Fan, Jingyao Li, Z. Cui, Huaxiang Wang","doi":"10.1109/I2MTC.2019.8827031","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827031","url":null,"abstract":"Electrical Impedance Tomography (EIT) is an emerging method for monitoring damages in carbon fiber reinforced polymer CFRP composites. This paper presents a method of detecting the shape and position for the damages of anisotropic CFRP laminates based on EIT with embedded electrodes. According to the boundary values of voltage change collected from the electrodes, the conductivity distribution map of the material is reconstructed to assess the damage condition. In order to improve the quality of reconstructed images, a new modified residual norm steepest descent (MRNSD) algorithm is applied to reconstruct the conductivity distribution. Moreover, the EIT test system is built for experimental verification. The experimental results verify both the feasibility and effectiveness of the proposed method.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114616114","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
A Wearable System for Noise Assessment in Workplaces 可穿戴式工作场所噪音评估系统
L. Lombardo, L. Iannucci, M. Parvis, S. Corbellini, S. Grassini
{"title":"A Wearable System for Noise Assessment in Workplaces","authors":"L. Lombardo, L. Iannucci, M. Parvis, S. Corbellini, S. Grassini","doi":"10.1109/I2MTC.2019.8826907","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826907","url":null,"abstract":"Noise in work places is a critical problem and inter-national regulations are becoming more restrictive on this aspect. The normal a-priori’ way of stating the workers’ exposure to the noise is becoming not enough to warrant that the worker is not exposed to a too high noise thus personal measuring systems are often required. In this paper one of these systems is described that is, not only capable of logging the noise the worker is subjected to, but also to raise an alarm if the noise seems to exceed the maximum allowed level. The system employs a 1$ microphone and off-the-shelf components and has a cost lower than 100$ so that any worker can be provided with a measuring system. The described solution connects to a central system via LoRa protocol without the necessity for the measuring system to be connected to the receiver or to be put close to it.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126134669","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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