Ahmed Alzahrani, Jila Hosseinkhani, S. Rajan, E. Ukwatta
{"title":"Reducing Motion Impact on Video Magnification Using Wavelet Transform and Principal Component Analysis for Heart Rate Estimation","authors":"Ahmed Alzahrani, Jila Hosseinkhani, S. Rajan, E. Ukwatta","doi":"10.1109/I2MTC50364.2021.9460026","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9460026","url":null,"abstract":"In this paper, we developed a contactless method to estimate human subjects' heart rates using a magnification of video sequences. Existing methods based on the Eulerian video magnification (EVM) technique are severely affected by motion (i.e., object movements). The proposed method can consider both scenarios of still and moving subjects to magnify the skin color changes over time. In the proposed method, we employed a wavelet decomposition process along with a denoising layer based on principal component analysis (PCA). PCA smoothed the frames and reduced the noise due to high-frequency fluctuations caused by motion (i.e., unwanted source of color changes in the skin). Finally, the video data was magnified to extract the heart rate information. As a result, subtle changes caused by blood flow were made clearly visible to the naked eye. We compared the heart rate estimation results obtained through our proposed method with the results produced by linear EVM. The experimental results indicate an improvement in the heart rate estimation accuracy in the presence of motion using the proposed method.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"45 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88898827","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}
{"title":"Analysis and Evaluation of Vibration Sensors for Predictive Maintenance of Large Gears with an Appropriate Test Bench","authors":"Florian Strakosch, Holger Nikoleizig, F. Derbel","doi":"10.1109/I2MTC50364.2021.9460047","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9460047","url":null,"abstract":"In predictive maintenance of plants, signal analyses are conducted to monitor the conditions of critical components. For complex facilities, suitable condition monitoring systems are individually developed and designed to prevent unexpected plant shutdowns. For the development of a special condition monitoring system for a heavy-load multistage gearbox application, the creation of a realistic demonstrator is suitable. This allows for investigations especially on the rolling bearings installed in the planetary gear and can be used to test the suitability of different sensors. The measurements are conducted under consideration of different parameters and are evaluated by using different analysis methods. Thus, besides the demonstrator, a result of the present paper is an evaluation of various sensors from which recommendations can be derived for the establishment of a condition monitoring system in the examined case. The presented work is addressed to researchers and engineers in the field of condition monitoring of rotating machinery, especially planetary gears and roller bearings.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"4 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80890431","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}
{"title":"Study on performance improvements of a flow excitation system","authors":"Pengda Ren, Bin Wang, Youkun Zhu","doi":"10.1109/I2MTC50364.2021.9460095","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9460095","url":null,"abstract":"Uncertainty of a flowmeter normally changes after long-term service, which brings about a difference both in steady-state and dynamic measurement result by the meter. In this paper, a piezoelectrically-actuated single nozzle flapper valve generates a short-rise time flow change as an excitation for dynamic flowmeter calibration. A commercially available piezoelectric stack is adopted for its fast response. The dynamic performance of the flowmeter is obtained by comparing the time between the pressure difference across the reference restrictor and the indicated flow rate. In order to widen the excitation flow and improve the linearity with the voltage applied, design of the return restrictor is studied. Due to ferromagnetic hysteresis, nonlinear compensation to the piezoelectric stack is implemented based on modeling the hysteresis effect. Simulation and experiments show that proper flow area of the return restrictor allows wider excitation flow rate range. The compensation on the stack can effectively improve the linearity of the excitation flow rate and the input required.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"166 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86216792","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}
Shouxiao Li, Huaxiang Wang, Joanna N. Chen, Z. Cui
{"title":"An Improved Sparse Reconstruction Algorithm Based on Singular Value Decomposition for Electrical Resistance Tomography","authors":"Shouxiao Li, Huaxiang Wang, Joanna N. Chen, Z. Cui","doi":"10.1109/I2MTC50364.2021.9460058","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9460058","url":null,"abstract":"Electrical Resistance Tomography (ERT) is a technique for reconstructing internal conductivity distribution of the measured field from the boundary data. Image reconstruction of ERT is a nonlinear and ill-posed inverse problem. Regularization method is used to solve inverse problem, and the sparse reconstruction by separable approximation algorithm (SpaRSA) is a relatively effective method. However, the reconstructed image quality of the method is easily affected by noise. In order to improve the noise immunity of sparse regularization algorithm, an improved sparse regularization algorithm is proposed in this paper. We transform the sensitivity matrix by singular value decomposition (SVD) and then modify the smaller singular values which may cause instabilities. Both simulation and experimental results show the effectiveness of the proposed method in improving the image quality with different noise intensities.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88574410","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}
{"title":"A Neutron Generator Testing Platform for the Radiation Analysis of SRAM-based FPGAs","authors":"Ludovica Bozzoli, C. D. Sio, B. Du, L. Sterpone","doi":"10.1109/I2MTC50364.2021.9459804","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459804","url":null,"abstract":"SRAM-based Field Programmable Gate Arrays (FPGAs) represent an attractive solution for mission-critical computationally intensive applications due to their high integration, flexibility, and computational capabilities. However, the static memory cells of SRAM-based configuration memory present a high sensitivity to radiation effects. Due to the increasing interest in using these devices in radiation environments such as aerospace and high energy physics, the evaluation of their reliability through radiation tests is a key role in their validation. Radiation Testing consists in exposing the physical device to radioactive source or radiation beams and represents an accurate solution for evaluating the device sensitivity. However, this implies high costs both in terms of experimental setup and money due to the low availability of the required facilities. Among the possible solutions, neutron generator testing would represent an efficient solution even if challenging from the instrumentation needed for the experimental setup. In this work, we present a test instrumentation and methodology specific for cost-effective short-time neutron generator testing to efficiently evaluate FPGA radiation-induced soft error sensitivity.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"52 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77208900","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}
I. Cappelli, Gabriele Di Renzone, A. Fort, M. Mugnaini, A. Pozzebon, V. Vignoli
{"title":"Long Range (LoRa) Transmission Through Ice: Preliminary Results","authors":"I. Cappelli, Gabriele Di Renzone, A. Fort, M. Mugnaini, A. Pozzebon, V. Vignoli","doi":"10.1109/I2MTC50364.2021.9459858","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459858","url":null,"abstract":"Long Range (LoRa) has rapidly become one of the most widespread transmission technologies for the development of distributed monitoring systems for a wide range of applications within the Internet of Things (IoT) framework. Indeed, thanks to its robustness and high performances in terms of low power consumption and long transmission range, it has been employed in a wide range of critical application scenarios. In this context, this paper analyses the usability of LoRa as solution for data transmission in icy environments. While the technical feasibility of radio transmission channel in ice has been widely demonstrated, this paper aims at demonstrating the effectiveness of a low cost transmitter developed using off-the-shelf components, when completely immersed in ice. Fields tests were performed by embedding a Low Power Wide Area Network (LoRaWAN) compliant node inside a 10 cm block of dry ice, positioned then in an environmental chamber, at a −10°C temperature. Preliminary tests demonstrate the operation of the transmitter in these operating conditions, while the achieved link margin suggests the usability of this technology even in case of notably thicker layers of ice.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"187 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77264514","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}
Rodrigo Rodrigues Nascimento Zampilis, Marcus Vinícius Viegas Pinto, Leonardo Augusto Abreu De Souza, Gean Marcos Geronymo, Regis Pinheiro Landim
{"title":"Characterization of absolute phase angle in wideband current shunts at Inmetro","authors":"Rodrigo Rodrigues Nascimento Zampilis, Marcus Vinícius Viegas Pinto, Leonardo Augusto Abreu De Souza, Gean Marcos Geronymo, Regis Pinheiro Landim","doi":"10.1109/I2MTC50364.2021.9459819","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459819","url":null,"abstract":"This paper describes the initial stage of implementing an absolute phase measurement system for the current “cage” type shunts built at Inmetro. The phase characterization of the shunts includes phase difference measurements that allow the realization of the absolute phase using three geometrically equal shunts calibrated in DC resistance. The measurement results of three shunts are presented and analyzed in comparison with the values obtained through the lumped equivalent circuit model. The results demonstrate the high capacity of the method of determining the absolute phase of shunts that have small phase shift errors. This method allowed, for the first time, the absolute phase measurement of impedances (shunts) below 10 ohms at Inmetro. The lowest measurement error was 0.4 microradians with an expanded uncertainty of 1.4 microradians for the 10 A shunt at 54 Hz.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"89 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86926484","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}
C. Chou, Chih-Chung Yang, Chen-Ju Lee, H. Tsai, Yu-Hsuan Lin, Kuo-Cheng Huang
{"title":"Invisible Lighting System for Remote Surveillance","authors":"C. Chou, Chih-Chung Yang, Chen-Ju Lee, H. Tsai, Yu-Hsuan Lin, Kuo-Cheng Huang","doi":"10.1109/I2MTC50364.2021.9460089","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9460089","url":null,"abstract":"The paper proposed a 2km invisible lighting surveillance system. Long-distance invisible light lighting systems are generally used in maritime rescue and national border defense. The surveillance distance of currently available equipment was about 1 to 1.5km. Therefore, we would provide a set of 2 km invisible lighting surveillance system. The output divergence angle of light source was from 0.9° (narrow) to 12.5° (wide), providing a larger and longer surveillance range. According to the shooting results, the tree trunks, branches and larger leaves could be clearly distinguished in the 500 meters away. At 2km, the outline and features of the building could be clearly identified. In the future, the light source could be integrated with the monitoring system, installed on the PTZ platform, and combined with the automatic patrol mode, so that it could automatically monitor and scan the surrounding environment.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"34 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87546272","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}
Georgios-Panagiotis Kousiopoulos, N. Karagiorgos, D. Kampelopoulos, V. Konstantakos, S. Nikolaidis
{"title":"Dealing with stochastic signals and physical phenomena impacting pipeline leak localization accuracy","authors":"Georgios-Panagiotis Kousiopoulos, N. Karagiorgos, D. Kampelopoulos, V. Konstantakos, S. Nikolaidis","doi":"10.1109/I2MTC50364.2021.9459830","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459830","url":null,"abstract":"Leak localization in pipelines is a subject frequent in the literature, with most studies focusing either on the errors in the acquisition process, e.g. what types of sensors to use, or on the weak points of the signal processing methods utilized for this matter, how to deal with these vulnerabilities and improve the accuracy of those methods etc. However, another important factor that needs to be considered is the presence of several physical phenomena that take place in a pipeline and affect the creation and propagation of acoustic waves. Such phenomena like the acoustic dispersion, the frequency dependent attenuation and the resonances are studied in this paper, based on synthesized signals, and their influence on the leak localization accuracy is discussed. Furthermore, a leak localization method combining the cross-correlation technique with temporal and spectral segmentation of the acoustic signals is proposed. This method is applied to measured (stochastic) leak signals from a pipeline in a laboratory setup. Experimental results show that the proposed method can efficiently determine the position of a leak in a pipeline, since the localization error in most cases is below 3%.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"5 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90415762","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}
Songlin Bi, Yonggang Gu, Zhihong Zhang, Jiaqi Zou, C. Zhai, Ming Gong
{"title":"A fast feature point extraction method for optical tracking system","authors":"Songlin Bi, Yonggang Gu, Zhihong Zhang, Jiaqi Zou, C. Zhai, Ming Gong","doi":"10.1109/I2MTC50364.2021.9459808","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459808","url":null,"abstract":"Optical tracking systems (OTS) mainly consist of multiple cameras and optical target. A number of markers, at least three, are attached to the target. Position and motion posture of the target are obtained by photographing those markers. A small part of the image is occupied by marker. If markers are searched by traversing the whole image, huge expenditure and extravagant computing resources will be caused. A fast feature point extraction method is described in this paper to reduce computational burden. It combines marker prediction, perspective projection, nearest neighbor fast seed point search algorithm, region growing algorithm, and gray centroid method. Compared with the traditional whole image traversal method, the marker extraction speed is improved by hundreds or even thousands of times, which is verified by trinocular vision tracking experiment. The method is suitable for OTS.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"109 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73531961","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}