Pub Date : 2019-05-01DOI: 10.1109/I2MTC.2019.8827136
B. Bonnett, Ben Mitchell, Michael Frampton, Michael P. Hayes
The flow of groundwater is complex. The traditional measurement method uses monitored wells, a process which is both difficult and expensive. This limits the ability to accurately tune models of the flow. An electromagnetic measurement technique has been proposed to simplify the measurement of groundwater flow and allow improved model tuning. The slow flow velocity of groundwater results in the need to measure small signals in a noisy environment. Additionally, AC measurements require highly synchronised timing between channels. This paper details the design and testing of instrumentation to measure these signals.
{"title":"Low-noise instrumentation for electromagnetic groundwater flow measurement","authors":"B. Bonnett, Ben Mitchell, Michael Frampton, Michael P. Hayes","doi":"10.1109/I2MTC.2019.8827136","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827136","url":null,"abstract":"The flow of groundwater is complex. The traditional measurement method uses monitored wells, a process which is both difficult and expensive. This limits the ability to accurately tune models of the flow. An electromagnetic measurement technique has been proposed to simplify the measurement of groundwater flow and allow improved model tuning. The slow flow velocity of groundwater results in the need to measure small signals in a noisy environment. Additionally, AC measurements require highly synchronised timing between channels. This paper details the design and testing of instrumentation to measure these signals.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131730705","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}
Pub Date : 2019-05-01DOI: 10.1109/I2MTC.2019.8827073
Qinying Liu, Shaozhe Zhang, L. Ding, H. Zuo, Xiaotao Han
Recently a series of new topological materials, such as topological insulator, topological semimetal, topological superconductor have been discovered through a large number of magneto-transport measurements in high magnetic field, which greatly promotes the research process of topological quantum materials. The physical properties such as SdH oscillations can be observed from accurately measuring the magnetoresistance effect. The experimental environment puts higher requirements for data acquisition and processing procedures in topological materials measurements for the characteristics of high noise and short discharge time in pulsed high magnetic field. However, the references rarely mentions the related solutions. In this paper, a complete set of detection methods and data processing strategies for topological materials in pulsed high magnetic field environment are proposed. Here we introduce a digital lock-in amplifier and optimize the parameters of FIR filters. Based on NI-PXI-5105 and Labview, the model of fast auto-detection digital lock-in system is carried out. Taking the WTe2 sample to experiment, the magneto-resistance detection and data analysis were performed in 65T pulsed magnetic field. A clear magnetoresistance curve with the significant SdH quantum oscillation at different temperatures was obtained. The results proved that this method is effective and applicable to complete the measurement technology of topological quantum materials in high magnetic field.
{"title":"Magnetoresistance Measurement of Topological Quantum Materials in Pulsed High Magnetic Field","authors":"Qinying Liu, Shaozhe Zhang, L. Ding, H. Zuo, Xiaotao Han","doi":"10.1109/I2MTC.2019.8827073","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827073","url":null,"abstract":"Recently a series of new topological materials, such as topological insulator, topological semimetal, topological superconductor have been discovered through a large number of magneto-transport measurements in high magnetic field, which greatly promotes the research process of topological quantum materials. The physical properties such as SdH oscillations can be observed from accurately measuring the magnetoresistance effect. The experimental environment puts higher requirements for data acquisition and processing procedures in topological materials measurements for the characteristics of high noise and short discharge time in pulsed high magnetic field. However, the references rarely mentions the related solutions. In this paper, a complete set of detection methods and data processing strategies for topological materials in pulsed high magnetic field environment are proposed. Here we introduce a digital lock-in amplifier and optimize the parameters of FIR filters. Based on NI-PXI-5105 and Labview, the model of fast auto-detection digital lock-in system is carried out. Taking the WTe2 sample to experiment, the magneto-resistance detection and data analysis were performed in 65T pulsed magnetic field. A clear magnetoresistance curve with the significant SdH quantum oscillation at different temperatures was obtained. The results proved that this method is effective and applicable to complete the measurement technology of topological quantum materials in high magnetic field.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133035516","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}
Pub Date : 2019-05-01DOI: 10.1109/I2MTC.2019.8827131
M. Andreetto, L. Palopoli, D. Fontanelli
The minidrone Parrot Mambo® is a promising robotic platform for education control purposes. An important limitation is that its SDK provides sensor data with a maximum nominal frequency of just 2 Hz, creating objective difficulties for feedback control. This paper proposes an observer capable of generating prediction on the data, which allows feeding the controller with a much faster rate than the one allowed by the slow sensor data rate. The predictions are generated by a linear model, whose parameters are identified on-line using a Constrained Kalman Filter. The strategy is successfully validated via extensive experiments with real drones performing altitude stabilisation and trajectory tracking tasks. In particular, the constrained model identification preserves a stable prediction (which is physically meaningful), and hence safe flight, even in the presence of large disturbances.
{"title":"Constrained Kalman Filter for Adaptive Prediction in Minidrone Flight","authors":"M. Andreetto, L. Palopoli, D. Fontanelli","doi":"10.1109/I2MTC.2019.8827131","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827131","url":null,"abstract":"The minidrone Parrot Mambo® is a promising robotic platform for education control purposes. An important limitation is that its SDK provides sensor data with a maximum nominal frequency of just 2 Hz, creating objective difficulties for feedback control. This paper proposes an observer capable of generating prediction on the data, which allows feeding the controller with a much faster rate than the one allowed by the slow sensor data rate. The predictions are generated by a linear model, whose parameters are identified on-line using a Constrained Kalman Filter. The strategy is successfully validated via extensive experiments with real drones performing altitude stabilisation and trajectory tracking tasks. In particular, the constrained model identification preserves a stable prediction (which is physically meaningful), and hence safe flight, even in the presence of large disturbances.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131210803","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}
Pub Date : 2019-05-01DOI: 10.1109/I2MTC.2019.8826955
Rongqiang Zhao, Qiang Wang, Xiang Ma, Z. Qian
Kronecker compressive sensing (KCS) technique is used for compressively sampling multi-dimensional signals, and reconstructing them from their measurements. In order to obtain more accurate reconstruction, the learned dictionaries are usually employed for Tucker-decomposition-based sparse representation of original signals. Such dictionaries are learned in advance by using a set of multi-dimensional training samples which contain similar structures with the original signals. However, the prior information of the original signals may be unknown in advance. In such case, it is infeasible to select proper samples for dictionary learning. To overcome this limitation, in this paper, we propose an adaptive approach for sparse representation of KCS. The proposed approach achieves dynamic update of dictionaries without requiring the prior information of original signals. As a result, the reconstruction accuracy can be continually improved as the number of input signals increases, which is verified through the simulations on real images.
{"title":"Adaptive Sparse Representation for Kronecker Compressive Sensing","authors":"Rongqiang Zhao, Qiang Wang, Xiang Ma, Z. Qian","doi":"10.1109/I2MTC.2019.8826955","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826955","url":null,"abstract":"Kronecker compressive sensing (KCS) technique is used for compressively sampling multi-dimensional signals, and reconstructing them from their measurements. In order to obtain more accurate reconstruction, the learned dictionaries are usually employed for Tucker-decomposition-based sparse representation of original signals. Such dictionaries are learned in advance by using a set of multi-dimensional training samples which contain similar structures with the original signals. However, the prior information of the original signals may be unknown in advance. In such case, it is infeasible to select proper samples for dictionary learning. To overcome this limitation, in this paper, we propose an adaptive approach for sparse representation of KCS. The proposed approach achieves dynamic update of dictionaries without requiring the prior information of original signals. As a result, the reconstruction accuracy can be continually improved as the number of input signals increases, which is verified through the simulations on real images.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130913533","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}
Pub Date : 2019-05-01DOI: 10.1109/I2MTC.2019.8826877
C. Laurano, S. Toscani, M. Zanoni
It is common knowledge that conventional current transformers suffer from nonlinear effects due to the magnetization characteristics of their cores. Core saturation may occur because of large overcurrents or unidirectional transient components; however, weak nonlinear effects exist even during normal operation. The typical spectrum of current waveforms in ac power systems consists of a large fundamental component and harmonics having considerably smaller amplitudes. The fundamental term produces harmonic distortion which affects the measurement accuracy of current harmonics. This paper proposes a simple technique for compensating harmonic distortion occurring in current transformers. The effectiveness of the approach is assessed by means of numerical simulations; results show the remarkable improvement in measuring low-order harmonics over a wide current range.
{"title":"Improving the Accuracy of Current Transformers through Harmonic Distortion Compensation","authors":"C. Laurano, S. Toscani, M. Zanoni","doi":"10.1109/I2MTC.2019.8826877","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826877","url":null,"abstract":"It is common knowledge that conventional current transformers suffer from nonlinear effects due to the magnetization characteristics of their cores. Core saturation may occur because of large overcurrents or unidirectional transient components; however, weak nonlinear effects exist even during normal operation. The typical spectrum of current waveforms in ac power systems consists of a large fundamental component and harmonics having considerably smaller amplitudes. The fundamental term produces harmonic distortion which affects the measurement accuracy of current harmonics. This paper proposes a simple technique for compensating harmonic distortion occurring in current transformers. The effectiveness of the approach is assessed by means of numerical simulations; results show the remarkable improvement in measuring low-order harmonics over a wide current range.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133440201","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}
Pub Date : 2019-05-01DOI: 10.1109/I2MTC.2019.8827105
Hoyong Lee, S. Sim, Jinyi Lee
In this study, bobbin-type magnetic cameras for nondestructive inspection of small diameter tubes are reported. Two types of magnetic cameras were used to image eddy currents using exciting coils and annularly arrayed magnetic sensors, in order to detect and evaluate defects. The performance of both magnetic cameras was compared and verified using artificial defects introduced into the tubular test specimen of austenitic stainless steel 304 with 13.3 mm inner diameter.
{"title":"Comparison of Scanning-Type Magnetic Cameras for Heat Exchanger Tube Inspection and their Applications","authors":"Hoyong Lee, S. Sim, Jinyi Lee","doi":"10.1109/I2MTC.2019.8827105","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827105","url":null,"abstract":"In this study, bobbin-type magnetic cameras for nondestructive inspection of small diameter tubes are reported. Two types of magnetic cameras were used to image eddy currents using exciting coils and annularly arrayed magnetic sensors, in order to detect and evaluate defects. The performance of both magnetic cameras was compared and verified using artificial defects introduced into the tubular test specimen of austenitic stainless steel 304 with 13.3 mm inner diameter.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133260554","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}
VHF subsystem is an important information link for the science location message of SVOM satellite. The test plan and measurement methods of SVOM satellite VHF band board to ground interface validation are elaborated. Through the validation between the engineering model of on board equipment and the prototype of ground station, the effectiveness of the RF link and dataflow compatibility are validated.
{"title":"Measurement and Validation of SVOM Satellite VHF Board to ground interface","authors":"Yang Liu, Shunjing Yu, Yuanyuan Dai, Zongde Li, Xiaoyuan He, Xiaofeng Zhang","doi":"10.1109/I2MTC.2019.8826837","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826837","url":null,"abstract":"VHF subsystem is an important information link for the science location message of SVOM satellite. The test plan and measurement methods of SVOM satellite VHF band board to ground interface validation are elaborated. Through the validation between the engineering model of on board equipment and the prototype of ground station, the effectiveness of the RF link and dataflow compatibility are validated.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128853635","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}
Pub Date : 2019-05-01DOI: 10.1109/I2MTC.2019.8827110
Yang Cai, A. Genovese, V. Piuri, F. Scotti, M. Siegel
This paper presents an overview of new-generation technologies based on Internet of Things (IoT) and Ambient Intelligence (AmI), which create smart environments that respond intelligently to the presence of people, by collecting data from sensors, aggregating measurements, and extracting knowledge to support daily activities, perform proactive actions, and improve the quality of life. Recent advances in miniaturized instrumentation, general-purpose computing architectures, advanced communication networks, and non-intrusive measurement procedures are enabling the introduction of IoT and AmI technologies in a wider range of applications. To efficiently process the large quantities of data collected in recent AmI applications, many architectures use remote cloud computing, either for data storage or for faster computation. However, local data processing architectures are often preferred over cloud computing in the cases of privacy-compliant or time-critical applications. To highlight recent advances of AmI environments for these applications, in this paper we focus on the technologies, challenges, and research trends in new-generation IoT-based architectures requiring local data processing techniques, with specific attention to smart homes, intelligent vehicles, and healthcare.
{"title":"IoT-based Architectures for Sensing and Local Data Processing in Ambient Intelligence: Research and Industrial Trends","authors":"Yang Cai, A. Genovese, V. Piuri, F. Scotti, M. Siegel","doi":"10.1109/I2MTC.2019.8827110","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827110","url":null,"abstract":"This paper presents an overview of new-generation technologies based on Internet of Things (IoT) and Ambient Intelligence (AmI), which create smart environments that respond intelligently to the presence of people, by collecting data from sensors, aggregating measurements, and extracting knowledge to support daily activities, perform proactive actions, and improve the quality of life. Recent advances in miniaturized instrumentation, general-purpose computing architectures, advanced communication networks, and non-intrusive measurement procedures are enabling the introduction of IoT and AmI technologies in a wider range of applications. To efficiently process the large quantities of data collected in recent AmI applications, many architectures use remote cloud computing, either for data storage or for faster computation. However, local data processing architectures are often preferred over cloud computing in the cases of privacy-compliant or time-critical applications. To highlight recent advances of AmI environments for these applications, in this paper we focus on the technologies, challenges, and research trends in new-generation IoT-based architectures requiring local data processing techniques, with specific attention to smart homes, intelligent vehicles, and healthcare.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131416121","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}
Pub Date : 2019-05-01DOI: 10.1109/I2MTC.2019.8827093
Kawser Wazed Nafi, Wei Gong, A. Nayak
Recent researches on indoor localization have achieved the success of localizing a device within tens of centimeters accuracy. Most of the cases it requires special infrastructures, external hardware support or a lot of finger-printings via huge training or crowdsourcing about the surroundings in order to achieve this accuracy. This paper presents MuSLoc, a low cost indoor localization system which is able to achieve high accuracy in localizing regular commercial mobile devices without help of fingerprinting, infrastructure or external hardware support. MuSLoc emulates regular antenna arrays of mobile devices with specially configured MUSIC algorithm over synthetic aperture radar (SAR) in order to find the direction of arrival (DoA). Finally, it is integrated with a novel heuristic location search algorithm, named HeLE which outperforms traditional methods in indoor localization.
{"title":"MuSLoc: Circular Array Based Indoor Localization with COTS APs","authors":"Kawser Wazed Nafi, Wei Gong, A. Nayak","doi":"10.1109/I2MTC.2019.8827093","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827093","url":null,"abstract":"Recent researches on indoor localization have achieved the success of localizing a device within tens of centimeters accuracy. Most of the cases it requires special infrastructures, external hardware support or a lot of finger-printings via huge training or crowdsourcing about the surroundings in order to achieve this accuracy. This paper presents MuSLoc, a low cost indoor localization system which is able to achieve high accuracy in localizing regular commercial mobile devices without help of fingerprinting, infrastructure or external hardware support. MuSLoc emulates regular antenna arrays of mobile devices with specially configured MUSIC algorithm over synthetic aperture radar (SAR) in order to find the direction of arrival (DoA). Finally, it is integrated with a novel heuristic location search algorithm, named HeLE which outperforms traditional methods in indoor localization.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115361052","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}
Pub Date : 2019-05-01DOI: 10.1109/I2MTC.2019.8826827
Dian Chen, Qingwen Liu, Zuyuan He
The measurement distance is one of the most important parameters for distributed acoustic sensor (DAS). In this paper, we report a long-distance and high-sensitivity DAS system based on time-gated digital optical frequency domain reflectometry (TGD-OFDR). The bi-directional distributed Raman amplification is adopted to realize long measurement distance. The interference fading and polarization fading are well suppressed, and hence phase demodulation method can be adopted, instead of intensity demodulation method. As a result, the sensitivity is enhanced and the full information (amplitude, phase and frequency) of the vibration can be obtained. In experiments, the fiber length is about 108 km, while the spatial resolution is 5 m. A weak vibration with peak-peak amplitude of $14.7 mathrm {n}varepsilon $ is correctly located at the distance of 98 km with a high SNR of 30 dB. It is the first time that $220- mathrm {p}varepsilon / surd$ Hz strain sensitivity is realized over 100-km-level fiber and the vibration waveform is retrieved linearly without harmonics.
{"title":"Distributed Fiber-optic Acoustic Sensor with Long Sensing Range over 100 km and Sub-nano Strain Resolution","authors":"Dian Chen, Qingwen Liu, Zuyuan He","doi":"10.1109/I2MTC.2019.8826827","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826827","url":null,"abstract":"The measurement distance is one of the most important parameters for distributed acoustic sensor (DAS). In this paper, we report a long-distance and high-sensitivity DAS system based on time-gated digital optical frequency domain reflectometry (TGD-OFDR). The bi-directional distributed Raman amplification is adopted to realize long measurement distance. The interference fading and polarization fading are well suppressed, and hence phase demodulation method can be adopted, instead of intensity demodulation method. As a result, the sensitivity is enhanced and the full information (amplitude, phase and frequency) of the vibration can be obtained. In experiments, the fiber length is about 108 km, while the spatial resolution is 5 m. A weak vibration with peak-peak amplitude of $14.7 mathrm {n}varepsilon $ is correctly located at the distance of 98 km with a high SNR of 30 dB. It is the first time that $220- mathrm {p}varepsilon / surd$ Hz strain sensitivity is realized over 100-km-level fiber and the vibration waveform is retrieved linearly without harmonics.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115892663","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}
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