Pub Date : 2019-05-20DOI: 10.1109/I2MTC.2019.8826887
Avishek Adhikary, J. Roy, K. Biswas
This paper presents performance study of a Cu-polymer based two-electrode type conductivity sensor. This sensor was earlier reported only for the small and fixed volume of analyte. In this paper, we discuss the sensor performance (range, accuracy and precision) with large and variable volume of analyte. In this context, the effects of cell structure on the cell constant are studied with COMSOL simulation and based on this study a modification in cell structure is presented to minimize the effect. Proposed modification is substantiated with practical experimentation and test results.
{"title":"Performance study of a two-electrode type aqueous conductivity sensor for smart farming","authors":"Avishek Adhikary, J. Roy, K. Biswas","doi":"10.1109/I2MTC.2019.8826887","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826887","url":null,"abstract":"This paper presents performance study of a Cu-polymer based two-electrode type conductivity sensor. This sensor was earlier reported only for the small and fixed volume of analyte. In this paper, we discuss the sensor performance (range, accuracy and precision) with large and variable volume of analyte. In this context, the effects of cell structure on the cell constant are studied with COMSOL simulation and based on this study a modification in cell structure is presented to minimize the effect. Proposed modification is substantiated with practical experimentation and test results.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"20 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":"115040896","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 : 2019-05-20DOI: 10.1109/I2MTC.2019.8827144
F. Lopez-Tiro, H. Peregrina-Barreto, J. Rangel-Magdaleno, J. Ramirez-San-Juan
Visualization of blood vessels in contrast images is an important task as it is used to analyze the dynamics of the blood flow and the health status of biological tissue. However, this task becomes difficult due to the noise in the image, mainly at high depths. This work proposes a methodology based on the Discrete Wavelet Transform to improve in-vitro blood vessels visualization. It also addresses the segmentation of the regions of interest through morphological operations in improved contrast images. Results show that it is possible to visualize the blood vessels even at 700$mu$m below an epidermis phantom.
{"title":"Visualization of in-vitro Blood Vessels in Contrast Images Based on Discrete Wavelet Transform Decomposition","authors":"F. Lopez-Tiro, H. Peregrina-Barreto, J. Rangel-Magdaleno, J. Ramirez-San-Juan","doi":"10.1109/I2MTC.2019.8827144","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827144","url":null,"abstract":"Visualization of blood vessels in contrast images is an important task as it is used to analyze the dynamics of the blood flow and the health status of biological tissue. However, this task becomes difficult due to the noise in the image, mainly at high depths. This work proposes a methodology based on the Discrete Wavelet Transform to improve in-vitro blood vessels visualization. It also addresses the segmentation of the regions of interest through morphological operations in improved contrast images. Results show that it is possible to visualize the blood vessels even at 700$mu$m below an epidermis phantom.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"29 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":"116042150","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 : 2019-05-20DOI: 10.1109/I2MTC.2019.8827153
Fei Yuan, Yating Yu, Bowen Liu, Linfeng Li
Due to the long-term harsh working environment and cyclic loadings, Rolling Contact Fatigue (RCF) crack will occur on the tread of the rail. Therefore, a fast quantitative detection of cracks periodically is essential to guarantee the operation safety of the high-speed rail track. Electromagnetic Nondestructive testing (NDT) technique is one of the effective methods for quantitative crack characterization in conduction metals. For high-speed Electromagnetic NDT, because of the relative motion between the rail and detection device, motion induced eddy current (MIEC) is generated in the surface of the rail, which causes the magnetic field distribution inside the rail more complicated due to the dragging effect, and the literatures focus on the investigation on the optimal detection position is rare. Hence, to obtain the optimal detection sensitivity and strength, it is essential to investigate the optimal detection position in electromagnetic NDT for crack characterization in high speed. This paper perform a deep investigation on the optimal detection position in direct current (DC) electromagnetic NDT by numerical simulation, and the influence of detecting position on the detecting signal at different speeds is investigated. The results show that the DC Electromagnetic NDT can be used for quantitative crack depth characterization, and the optimal detection position with strongest detection signal and high sensitivity for crack depth characterization is located near the inner edge of the excitation coil on the opposite side of the direction of the probe motion. According to the findings in this paper, the high-speed DC electromagnetic NDT method can be applied to other moving metal components crack characterization, such as rotating metal components and pipelines.
{"title":"Investigation on optimal detection position of DC electromagnetic NDT in crack characterization for high-speed rail track","authors":"Fei Yuan, Yating Yu, Bowen Liu, Linfeng Li","doi":"10.1109/I2MTC.2019.8827153","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827153","url":null,"abstract":"Due to the long-term harsh working environment and cyclic loadings, Rolling Contact Fatigue (RCF) crack will occur on the tread of the rail. Therefore, a fast quantitative detection of cracks periodically is essential to guarantee the operation safety of the high-speed rail track. Electromagnetic Nondestructive testing (NDT) technique is one of the effective methods for quantitative crack characterization in conduction metals. For high-speed Electromagnetic NDT, because of the relative motion between the rail and detection device, motion induced eddy current (MIEC) is generated in the surface of the rail, which causes the magnetic field distribution inside the rail more complicated due to the dragging effect, and the literatures focus on the investigation on the optimal detection position is rare. Hence, to obtain the optimal detection sensitivity and strength, it is essential to investigate the optimal detection position in electromagnetic NDT for crack characterization in high speed. This paper perform a deep investigation on the optimal detection position in direct current (DC) electromagnetic NDT by numerical simulation, and the influence of detecting position on the detecting signal at different speeds is investigated. The results show that the DC Electromagnetic NDT can be used for quantitative crack depth characterization, and the optimal detection position with strongest detection signal and high sensitivity for crack depth characterization is located near the inner edge of the excitation coil on the opposite side of the direction of the probe motion. According to the findings in this paper, the high-speed DC electromagnetic NDT method can be applied to other moving metal components crack characterization, such as rotating metal components and pipelines.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"26 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":"121977218","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 : 2019-05-20DOI: 10.1109/I2MTC.2019.8826963
M. Skalský, J. Fialka, Z. Havránek
An accurate characterization of piezoelectric films is essential for their usage in various types of MEMS sensors and actuators. This paper presents a novel scanning double-beam laser interferometer (DBLI) to measure the thickness piezoelectric coefficient with a high accuracy. Compared to previous DBLI solutions, we employ a closed-loop phase shift compensation via an electro-optical modulator to stabilize the random phase drift as well as to compensate the harmonic sample-induced phase shift. As a consequence, the setup robustness is enhanced and the measured displacement is no more sensitive to sample reflectivity or source and detector signal gains, which allows to use the DBLI as scanning.
{"title":"Scanning Double-Beam Laser Interferometer with Loop-Back Compensation and Phase Stabilization","authors":"M. Skalský, J. Fialka, Z. Havránek","doi":"10.1109/I2MTC.2019.8826963","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826963","url":null,"abstract":"An accurate characterization of piezoelectric films is essential for their usage in various types of MEMS sensors and actuators. This paper presents a novel scanning double-beam laser interferometer (DBLI) to measure the thickness piezoelectric coefficient with a high accuracy. Compared to previous DBLI solutions, we employ a closed-loop phase shift compensation via an electro-optical modulator to stabilize the random phase drift as well as to compensate the harmonic sample-induced phase shift. As a consequence, the setup robustness is enhanced and the measured displacement is no more sensitive to sample reflectivity or source and detector signal gains, which allows to use the DBLI as scanning.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"53 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":"123582251","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}
Blade Tip Timing (BTT) methods have been increasingly implemented for blade health monitoring. However, most of them are based on the prior knowledge that the resonance’s location is known. Since real BTT test usually takes more than ten hours, it’s unrealistic to Figure out every resonance from the measured raw data manually. Furthermore, BTT data analysis suffers from its inherent under-sampled and non-uniform shortcoming. In this paper, we present a simple yet effective method for BTT-based blade health monitoring. The method starts with an automatic resonance recognition, where cross-correlation and Savitzky Golay filter are used to locate the resonance region. Then an adaptively reweighted least-squares periodogram algorithm is designed to identify parameters of the resonant vibration. The effectiveness of the algorithm was tested using both simulation and real test data.
{"title":"Blade Tip Timing: from Raw Data to Parameters Identification","authors":"Shuming Wu, Xuefeng Chen, P. Russhard, Ruqiang Yan, Shaohua Tian, Shibin Wang, Zhibin Zhao","doi":"10.1109/I2MTC.2019.8827170","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827170","url":null,"abstract":"Blade Tip Timing (BTT) methods have been increasingly implemented for blade health monitoring. However, most of them are based on the prior knowledge that the resonance’s location is known. Since real BTT test usually takes more than ten hours, it’s unrealistic to Figure out every resonance from the measured raw data manually. Furthermore, BTT data analysis suffers from its inherent under-sampled and non-uniform shortcoming. In this paper, we present a simple yet effective method for BTT-based blade health monitoring. The method starts with an automatic resonance recognition, where cross-correlation and Savitzky Golay filter are used to locate the resonance region. Then an adaptively reweighted least-squares periodogram algorithm is designed to identify parameters of the resonant vibration. The effectiveness of the algorithm was tested using both simulation and real test data.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"48 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":"128528226","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.2019.8827061
Die Hu, Lijun Xu, Z. Cao, Shijie Sun, Jiangtao Sun
Electrical tomography has been used to monitor the processes of flame ignition, fluctuation and extinction. To obtain more quantitative and key information of the flame from images of conductivity and permittivity distributions, a calibration method is necessary for studies on different combustors. In this paper, the ion probe sensor is proposed as a means of verification for electrical tomography in flame monitoring. From the impedance data of the ion probe, the local conductivity and permittivity can be calculated. Both an ion probe sensor and an electrical tomography system were experimented on an alcohol lamp. The ion probe experiment results are that the conductivity increased from $2times 10^{-6}$ to $9times 10^{-6} rm{{S}/{m}}$, while the relative permittivity increased from 1 to 4 in the flame. The ranges of electrical tomography images are that conductivity from 0 to $6times 10^{-6} rm{{S}/{m}}$ and relative permittivity from 1 to 4.5, which are consistent with the data acquired from the ion probe.
{"title":"Verification for Electrical Tomography in Flame Monitoring by Ion Probe","authors":"Die Hu, Lijun Xu, Z. Cao, Shijie Sun, Jiangtao Sun","doi":"10.1109/I2MTC.2019.8827061","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827061","url":null,"abstract":"Electrical tomography has been used to monitor the processes of flame ignition, fluctuation and extinction. To obtain more quantitative and key information of the flame from images of conductivity and permittivity distributions, a calibration method is necessary for studies on different combustors. In this paper, the ion probe sensor is proposed as a means of verification for electrical tomography in flame monitoring. From the impedance data of the ion probe, the local conductivity and permittivity can be calculated. Both an ion probe sensor and an electrical tomography system were experimented on an alcohol lamp. The ion probe experiment results are that the conductivity increased from $2times 10^{-6}$ to $9times 10^{-6} rm{{S}/{m}}$, while the relative permittivity increased from 1 to 4 in the flame. The ranges of electrical tomography images are that conductivity from 0 to $6times 10^{-6} rm{{S}/{m}}$ and relative permittivity from 1 to 4.5, which are consistent with the data acquired from the ion probe.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"35 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":"115301334","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.2019.8827167
Yiguang Yang, Ying Xu, Tao Zhang
Two-phase flow of gas-water and oil-water with low water volume fraction is common working conditions in the industrial process. For the measurement of 0-10% low water volume fraction, a microwave resonance sensor based on TMoto mode was proposed. The results of theoretical analysis and Ansoft HFSS simulation showed that the resonant frequency of TMoto resonator monotone decreased significantly with water volume fraction increasing. The static experiment of the gas-water two-phase medium was carried out. The results showed that the sensor can detect the change of gas-water two-phase medium with 0-10% water volume fraction. The consistency between simulation and experiment was analyzed. The results showed that Ansoft HFSS simulation can reflect the resonant frequency variation of the cavity, and relative error was less than 7% within the range of 0-10%.
{"title":"Research on Low Water Volume Fraction Measurement of Two-Phase Flow Based on TM010 Mode Microwave Cavity Sensor","authors":"Yiguang Yang, Ying Xu, Tao Zhang","doi":"10.1109/I2MTC.2019.8827167","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827167","url":null,"abstract":"Two-phase flow of gas-water and oil-water with low water volume fraction is common working conditions in the industrial process. For the measurement of 0-10% low water volume fraction, a microwave resonance sensor based on TMoto mode was proposed. The results of theoretical analysis and Ansoft HFSS simulation showed that the resonant frequency of TMoto resonator monotone decreased significantly with water volume fraction increasing. The static experiment of the gas-water two-phase medium was carried out. The results showed that the sensor can detect the change of gas-water two-phase medium with 0-10% water volume fraction. The consistency between simulation and experiment was analyzed. The results showed that Ansoft HFSS simulation can reflect the resonant frequency variation of the cavity, and relative error was less than 7% within the range of 0-10%.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"14 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":"116775181","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.2019.8826959
S. Hussmann, F. Knoll, A. Meissner, Tim Holtorf
To secure the food supply for future generations it is necessary to increase the automation level in agriculture significantly. One particular problem especially in organic farming is the weeding process. Nowadays the weeding is mostly done by human workers. However this manual weeding is far too expensive and very inhomogeneous. Hence the manual weeding should be replaced by an automated solution. In general a weed control robot system comprises a weed classification and a weed elimination unit. In this paper the development and evaluation of a low-cost delta robot for weed elimination is presented. The performance of the delta robot is illustrated by experimental results.
{"title":"Development and evaluation of a low-cost delta robot system for weed control applications in organic farming","authors":"S. Hussmann, F. Knoll, A. Meissner, Tim Holtorf","doi":"10.1109/I2MTC.2019.8826959","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826959","url":null,"abstract":"To secure the food supply for future generations it is necessary to increase the automation level in agriculture significantly. One particular problem especially in organic farming is the weeding process. Nowadays the weeding is mostly done by human workers. However this manual weeding is far too expensive and very inhomogeneous. Hence the manual weeding should be replaced by an automated solution. In general a weed control robot system comprises a weed classification and a weed elimination unit. In this paper the development and evaluation of a low-cost delta robot for weed elimination is presented. The performance of the delta robot is illustrated by experimental results.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"23 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":"116875509","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.2019.8826934
Hu Sun, Yibing Shi, Xuyang Gao, Wei Zhang
Since the magnetic field signal will penetrate the pipe’s wall twice in Remote Field Eddy Current(RFEC) Testing, the receiver’s signal arises two peaks when the pipe exists defects, which are called first peak and second peak separately. And the second peak is a disturbance for the location of defects, it will cause incorrect results in pipe evaluation. For the sake of eliminating the disturbance in RFEC testing, a method based on Radial Basis(RB) function and Nelder-Mead Simplex Method(NMSM) was introduced and part of RB functions were chosen for removing second peak. Simulation results demonstrate that the proposed method can eliminate the disturbance efficiently based on one receiver.
{"title":"Secondary Peak Separation of Remote Field Eddy Current Testing in Ferromagnetic Pipes","authors":"Hu Sun, Yibing Shi, Xuyang Gao, Wei Zhang","doi":"10.1109/I2MTC.2019.8826934","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826934","url":null,"abstract":"Since the magnetic field signal will penetrate the pipe’s wall twice in Remote Field Eddy Current(RFEC) Testing, the receiver’s signal arises two peaks when the pipe exists defects, which are called first peak and second peak separately. And the second peak is a disturbance for the location of defects, it will cause incorrect results in pipe evaluation. For the sake of eliminating the disturbance in RFEC testing, a method based on Radial Basis(RB) function and Nelder-Mead Simplex Method(NMSM) was introduced and part of RB functions were chosen for removing second peak. Simulation results demonstrate that the proposed method can eliminate the disturbance efficiently based on one receiver.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"29 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":"117246886","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.2019.8827046
P. Mazurek, Jakub Wagner, R. Morawski
The research reported in this paper is related to the fusion of measurement data from the impulse-radar sensors and infrared depth sensors applied in a system for unobtrusive monitoring of elderly persons. The investigated method of data fusion consists in the approximation of a sequence of measured data by means of a linear combination of linearly independent basis functions, while the parameters of the approximation are determined using a weighted least-squares estimator. The proposed method is provided with the automatic determination of the number of basis functions by means of the so-called Stein’s unbiased risk estimator. Results of the numerical experimentation–performed on both synthetic data and real-world data-show that the proposed approach allows for robust estimation of the monitored person’s position regardless of the trajectory shape and person’s walking velocity.
{"title":"Choosing number of basis functions in weighted least-squares method for fusion of measurement data used for persons’ monitoring","authors":"P. Mazurek, Jakub Wagner, R. Morawski","doi":"10.1109/I2MTC.2019.8827046","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827046","url":null,"abstract":"The research reported in this paper is related to the fusion of measurement data from the impulse-radar sensors and infrared depth sensors applied in a system for unobtrusive monitoring of elderly persons. The investigated method of data fusion consists in the approximation of a sequence of measured data by means of a linear combination of linearly independent basis functions, while the parameters of the approximation are determined using a weighted least-squares estimator. The proposed method is provided with the automatic determination of the number of basis functions by means of the so-called Stein’s unbiased risk estimator. Results of the numerical experimentation–performed on both synthetic data and real-world data-show that the proposed approach allows for robust estimation of the monitored person’s position regardless of the trajectory shape and person’s walking velocity.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"26 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":"124992705","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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