Pub Date : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639537
R. Shankar, Mohit Singh, B. Jung
A commonly encountered problem in sensing circuits is the saturation of sinusoidal signals. This arises due to limitations in the gain and operating voltage of analog circuits. A simple and novel method is presented here for recovering the amplitude of signals that have been clipped or saturated. The method is based on keeping track of the number of sample points that are not saturated and then relating it to the amplitude of the signal. The method shows high linearity up to 30 times the saturation voltage as found from simulation. The method can also be used to recover the amplitudes of non-sinusoidal but periodic signals.
{"title":"Amplitude Recovery of Saturated Sinusoidal Signals","authors":"R. Shankar, Mohit Singh, B. Jung","doi":"10.1109/SENSORS47087.2021.9639537","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639537","url":null,"abstract":"A commonly encountered problem in sensing circuits is the saturation of sinusoidal signals. This arises due to limitations in the gain and operating voltage of analog circuits. A simple and novel method is presented here for recovering the amplitude of signals that have been clipped or saturated. The method is based on keeping track of the number of sample points that are not saturated and then relating it to the amplitude of the signal. The method shows high linearity up to 30 times the saturation voltage as found from simulation. The method can also be used to recover the amplitudes of non-sinusoidal but periodic signals.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"81 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83910570","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 : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639612
L. Svilainis, Ž. Nakutis, V. Eidukynas, D. Liaukonis, A. Aleksandrovas, A. Chaziachmetovas, T. Álvarez-Arenas
The ultrasound resonant spectroscopy has proved itself as a useful tool in the plant physiology studies. Plant leaf physical parameters can be measured using air-coupled ultrasound non-invasively and on-site. Results are obtained by fitting the measured response to layer propagation model. Yet, influence of the parameters used in inverse solution calculation were never considered. Paper presents the sensitivity analysis to parameters used: speed of sound in the air and air density. Evaluation was done using simulation. The errors of sample thickness, density and ultrasound velocity in the sample due to not accounting deviations of the ambient air temperature and atmospheric pressure from normal conditions are reported.
{"title":"Air-Coupled Ultrasound Resonant Spectroscopy Sensitivity Study in Plant Leaf Measurements","authors":"L. Svilainis, Ž. Nakutis, V. Eidukynas, D. Liaukonis, A. Aleksandrovas, A. Chaziachmetovas, T. Álvarez-Arenas","doi":"10.1109/SENSORS47087.2021.9639612","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639612","url":null,"abstract":"The ultrasound resonant spectroscopy has proved itself as a useful tool in the plant physiology studies. Plant leaf physical parameters can be measured using air-coupled ultrasound non-invasively and on-site. Results are obtained by fitting the measured response to layer propagation model. Yet, influence of the parameters used in inverse solution calculation were never considered. Paper presents the sensitivity analysis to parameters used: speed of sound in the air and air density. Evaluation was done using simulation. The errors of sample thickness, density and ultrasound velocity in the sample due to not accounting deviations of the ambient air temperature and atmospheric pressure from normal conditions are reported.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"38 8 Pt 1 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82824992","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 : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639818
Sven Suppelt, R. Chadda, Niklas Schäfer, R. Sader, M. Kupnik
Bite force is an important characteristic of the masticatory systems functional state. Especially force asymmetries are potential indicators for malfunctions such as temporo-mandibular disorders or dysgnathia. By measuring bilaterally, i.e. simultaneously on the left and right side, it is possible to quantify asymmetries. Currently, there is a lack of bite force sensors combining a low measurement uncertainty (less than 5%) with the capability of measuring bilaterally. We present a 1000 N nominal bite force sensor with a height of 9 mm, which enables bilateral measurements over a wide range of mouth openings. The sensor is based on four load cells which are placed between two bite forks. The dimensions of these forks build upon anthropomorphic data of the human dental arch and are designed such that the bite force is transmitted by the two premolar and the first molar teeth. The developed sensor is characterized using a universal testing machine, resulting in a linearity error of ± 1.2% full scale. An asymmetric application of force is quantifiable with an error less than 4.1% from 100 N on. Therefore, the bite force sensor builds a promising basis for medical studies aiming at the support of diagnosis and therapy with objective data.
{"title":"Sensor for Bilateral Human Bite Force Measurements","authors":"Sven Suppelt, R. Chadda, Niklas Schäfer, R. Sader, M. Kupnik","doi":"10.1109/SENSORS47087.2021.9639818","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639818","url":null,"abstract":"Bite force is an important characteristic of the masticatory systems functional state. Especially force asymmetries are potential indicators for malfunctions such as temporo-mandibular disorders or dysgnathia. By measuring bilaterally, i.e. simultaneously on the left and right side, it is possible to quantify asymmetries. Currently, there is a lack of bite force sensors combining a low measurement uncertainty (less than 5%) with the capability of measuring bilaterally. We present a 1000 N nominal bite force sensor with a height of 9 mm, which enables bilateral measurements over a wide range of mouth openings. The sensor is based on four load cells which are placed between two bite forks. The dimensions of these forks build upon anthropomorphic data of the human dental arch and are designed such that the bite force is transmitted by the two premolar and the first molar teeth. The developed sensor is characterized using a universal testing machine, resulting in a linearity error of ± 1.2% full scale. An asymmetric application of force is quantifiable with an error less than 4.1% from 100 N on. Therefore, the bite force sensor builds a promising basis for medical studies aiming at the support of diagnosis and therapy with objective data.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"7 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86607549","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 : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639464
F. Nishimura, Y. Hirai, A. Kamitani, A. Tanaka, F. Utsunomiya, Hisashi Nishikawa, T. Douseki
An alive monitoring system with a 2.45-GHz wireless power transfer utilizing a 4.9-GHz harmonic wave generated from a receiving rectenna supplying DC power to a self-powered wireless sensor has been developed. The system consists of a power transmitter and a power receiver embedded in the sensor. The power transmitter has a 2.45-GHz power transmitting antenna and a 4.9-GHz receiving antenna. The power receiver has a 2.45-GHz power receiving rectenna and a 4.9-GHz transmitting antenna. To reduce transmitted power, the system searches for the sensor location with a harmonic wave using an intermittent wireless power transfer and then performs the alive monitoring with continuous wireless power transfer. A Yagi-Uda composite antenna structure at the power transmitter and a dipole-sleeve composite antenna at the power receiver make it possible to check the operation of a wireless self-powered sensor at distance of over 1 m. We evaluated the alive monitoring system for a self-powered water leakage sensor and found that it could detects the sensor at a distance of 1 m within 2 seconds by using the intermittent wireless power transfer that utilizes the harmonic 4.9-GHz wave generated at the sensor’s rectenna. The average transmitting power was 1 W. We also performed alive monitoring of the sensor using continuous wireless transfer with the transmitted power of 10 W and found that the response time of the sensor was 10 seconds at a distance of 1.2 m.
{"title":"Alive Monitoring Sensor System with 2.45-GHz Wireless Power Transfer for Self-powered Wireless Sensor","authors":"F. Nishimura, Y. Hirai, A. Kamitani, A. Tanaka, F. Utsunomiya, Hisashi Nishikawa, T. Douseki","doi":"10.1109/SENSORS47087.2021.9639464","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639464","url":null,"abstract":"An alive monitoring system with a 2.45-GHz wireless power transfer utilizing a 4.9-GHz harmonic wave generated from a receiving rectenna supplying DC power to a self-powered wireless sensor has been developed. The system consists of a power transmitter and a power receiver embedded in the sensor. The power transmitter has a 2.45-GHz power transmitting antenna and a 4.9-GHz receiving antenna. The power receiver has a 2.45-GHz power receiving rectenna and a 4.9-GHz transmitting antenna. To reduce transmitted power, the system searches for the sensor location with a harmonic wave using an intermittent wireless power transfer and then performs the alive monitoring with continuous wireless power transfer. A Yagi-Uda composite antenna structure at the power transmitter and a dipole-sleeve composite antenna at the power receiver make it possible to check the operation of a wireless self-powered sensor at distance of over 1 m. We evaluated the alive monitoring system for a self-powered water leakage sensor and found that it could detects the sensor at a distance of 1 m within 2 seconds by using the intermittent wireless power transfer that utilizes the harmonic 4.9-GHz wave generated at the sensor’s rectenna. The average transmitting power was 1 W. We also performed alive monitoring of the sensor using continuous wireless transfer with the transmitted power of 10 W and found that the response time of the sensor was 10 seconds at a distance of 1.2 m.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"54 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86755126","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 : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639700
B. Bouchikhi, O. Zaim, N. E. Bari, Naoual Lagdali, I. Benelbarhdadi, F. Ajana
Lung cancer (LCa) and gastric cancer (GCa) are two of the most lethal cancers worldwide. Unspecific clinical symptoms and the lack of defined risk factors often delay the diagnosis of the disease, which could high the mortality rate. The aim of the present study is to evaluate the capability of an electronic nose (e-nose) based on metal-oxide semi-conductor sensors combined with pattern recognition methods to discriminate between patients groups with LCa, GCa, and healthy controls (HC). Breath samples were collected from 35 volunteers containing 13 HC, 14 LCa, and 8 GCa patients. The e-nose dataset was treated with principal component analysis (PCA), discriminant function analysis (DFA), and support vector machines (SVM). As result, PCA and DFA have shown good discrimination between data-points of breath samples related to HC, LCa and GCa patients. The SVMs method reached a 100% success rate for the recognition of the analyzed three groups. In the light of these results, we can state that the presented e-nose system demonstrates that an inexpensive and non-invasive approach based on exhaled breath analysis could be considered a reliable screening tool to differentiate between the three studied groups.
{"title":"Diagnosing Lung And Gastric Cancers Through Exhaled Breath Analysis By Using Electronic Nose Technology Combined With Pattern Recognition Methods","authors":"B. Bouchikhi, O. Zaim, N. E. Bari, Naoual Lagdali, I. Benelbarhdadi, F. Ajana","doi":"10.1109/SENSORS47087.2021.9639700","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639700","url":null,"abstract":"Lung cancer (LCa) and gastric cancer (GCa) are two of the most lethal cancers worldwide. Unspecific clinical symptoms and the lack of defined risk factors often delay the diagnosis of the disease, which could high the mortality rate. The aim of the present study is to evaluate the capability of an electronic nose (e-nose) based on metal-oxide semi-conductor sensors combined with pattern recognition methods to discriminate between patients groups with LCa, GCa, and healthy controls (HC). Breath samples were collected from 35 volunteers containing 13 HC, 14 LCa, and 8 GCa patients. The e-nose dataset was treated with principal component analysis (PCA), discriminant function analysis (DFA), and support vector machines (SVM). As result, PCA and DFA have shown good discrimination between data-points of breath samples related to HC, LCa and GCa patients. The SVMs method reached a 100% success rate for the recognition of the analyzed three groups. In the light of these results, we can state that the presented e-nose system demonstrates that an inexpensive and non-invasive approach based on exhaled breath analysis could be considered a reliable screening tool to differentiate between the three studied groups.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"1 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90202659","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 : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639684
Minye Yang, Zhilu Ye, Pai-Yen Chen
We herein introduce a new wireless biotelemetry technique inspired by symmetries in quantum theory to significantly improve the sensitivity and robustness of wireless interrogation of implanted sensors. The proposed telemetric sensor system, consisting of a passive implantable sensor inductively coupled to an active reader, is invariant under the combined parity (P), time (T) and reciprocal scaling (X) transformations and exhibits an exotic eigenvalue bifurcation effect that can greatly enhance the resulting sensitivity. Moreover, the X transformation allows robust wireless readout of a highly lossy bioimplant with a good resolvability, not possible with conventional biotelemetry techniques. We demonstrate the proposed concept with in-vitro assessment of the intracranial pressure (ICP) monitoring system comprising a battery-free wireless pressure sensor for traumatic brain injury patients.
{"title":"A Quantum-Inspired Biotelemetry System for Robust and Ultrasensitive Wireless Intracranial Pressure Monitoring","authors":"Minye Yang, Zhilu Ye, Pai-Yen Chen","doi":"10.1109/SENSORS47087.2021.9639684","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639684","url":null,"abstract":"We herein introduce a new wireless biotelemetry technique inspired by symmetries in quantum theory to significantly improve the sensitivity and robustness of wireless interrogation of implanted sensors. The proposed telemetric sensor system, consisting of a passive implantable sensor inductively coupled to an active reader, is invariant under the combined parity (P), time (T) and reciprocal scaling (X) transformations and exhibits an exotic eigenvalue bifurcation effect that can greatly enhance the resulting sensitivity. Moreover, the X transformation allows robust wireless readout of a highly lossy bioimplant with a good resolvability, not possible with conventional biotelemetry techniques. We demonstrate the proposed concept with in-vitro assessment of the intracranial pressure (ICP) monitoring system comprising a battery-free wireless pressure sensor for traumatic brain injury patients.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"1 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83056208","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 : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639466
Majed Amini, M. Kamkar, Ahmadreza Ghafarkhah, Saeed Ghaderi, M. Arjmand
Highly efficient electromagnetic interference (EMI) shielding has been attracting extensive attention. However, it still remains a challenge to fabricate EMI shields with excellent absorption performance. In this regard, epoxy-based nanocomposites with multilayer structures containing carbon nanotube (CNT) and Zn0.5Ni0.5Fe2O4 (ZnNiFe) nanoparticles are designed for EMI shielding applications. The epoxy/CNT-ZnNiFe nanocomposites show excellent EMI shielding absorption performance attributed to high dielectric and magnetic loss combined with internal-reflection. The 4-layer nanocomposite absorbs more than 61% of the incident wave with a reduced shielding effectiveness by reflection (SER) compared to its single-layer counterpart. Moreover, it is revealed that the 4-layer nanocomposite possesses a shielding performance of approximately 20% higher than the 2-layer nanocomposite at the same thickness and filler content, expressing the prominent role of the multilayer structuring in shielding performance. More importantly, the 4-layer sample shows an absorption coefficient of 0.61, translating to absorption of more than 61% of the incident wave. Besides, the 4-layer nanocomposite switches the shielding mechanism from reflection to absorption in comparison with the single-layer samples (at the same thickness). This research study reveals that the multilayer nanocomposites can open up an effective and new way for EMI shielding nanocomposite designers.
{"title":"Epoxy/CNT-Zn0.5Ni0.5Fe2O4 Multilayer Polymeric Nanocomposites for Electromagnetic Wave Absorption","authors":"Majed Amini, M. Kamkar, Ahmadreza Ghafarkhah, Saeed Ghaderi, M. Arjmand","doi":"10.1109/SENSORS47087.2021.9639466","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639466","url":null,"abstract":"Highly efficient electromagnetic interference (EMI) shielding has been attracting extensive attention. However, it still remains a challenge to fabricate EMI shields with excellent absorption performance. In this regard, epoxy-based nanocomposites with multilayer structures containing carbon nanotube (CNT) and Zn0.5Ni0.5Fe2O4 (ZnNiFe) nanoparticles are designed for EMI shielding applications. The epoxy/CNT-ZnNiFe nanocomposites show excellent EMI shielding absorption performance attributed to high dielectric and magnetic loss combined with internal-reflection. The 4-layer nanocomposite absorbs more than 61% of the incident wave with a reduced shielding effectiveness by reflection (SER) compared to its single-layer counterpart. Moreover, it is revealed that the 4-layer nanocomposite possesses a shielding performance of approximately 20% higher than the 2-layer nanocomposite at the same thickness and filler content, expressing the prominent role of the multilayer structuring in shielding performance. More importantly, the 4-layer sample shows an absorption coefficient of 0.61, translating to absorption of more than 61% of the incident wave. Besides, the 4-layer nanocomposite switches the shielding mechanism from reflection to absorption in comparison with the single-layer samples (at the same thickness). This research study reveals that the multilayer nanocomposites can open up an effective and new way for EMI shielding nanocomposite designers.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"131 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79200964","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 : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639479
N. Winkler, P. Neumann, E. Schaffernicht, A. Lilienthal
Wireless sensor networks provide occupational health experts with valuable information about the distribution of air pollutants in an environment. However, especially low-cost sensors may produce faulty measurements or fail completely. Consequently, not only spatial coverage but also redundancy should be a design criterion for the deployment of a sensor network. For a sensor network deployed in a steel factory, we analyze the correlations between sensors and build machine learning forecasting models, to investigate how well the sensor network can compensate for the outage of sensors. While our results show promising prediction quality of the models, they also indicate the presence of spatially very limited events. We, therefore, conclude that initial measurements with, e.g., mobile units, could help to identify important locations to design redundant sensor networks.
{"title":"Using Redundancy in a Sensor Network to Compensate Sensor Failures","authors":"N. Winkler, P. Neumann, E. Schaffernicht, A. Lilienthal","doi":"10.1109/SENSORS47087.2021.9639479","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639479","url":null,"abstract":"Wireless sensor networks provide occupational health experts with valuable information about the distribution of air pollutants in an environment. However, especially low-cost sensors may produce faulty measurements or fail completely. Consequently, not only spatial coverage but also redundancy should be a design criterion for the deployment of a sensor network. For a sensor network deployed in a steel factory, we analyze the correlations between sensors and build machine learning forecasting models, to investigate how well the sensor network can compensate for the outage of sensors. While our results show promising prediction quality of the models, they also indicate the presence of spatially very limited events. We, therefore, conclude that initial measurements with, e.g., mobile units, could help to identify important locations to design redundant sensor networks.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"1 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87434207","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 : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639641
Dmitry Petrov, Konstantin Kroschewski, Ibrahim Mwammenywa, Geoffrey Mark Kagarura, U. Hilleringmann
For small to medium-sized renewable energy dependent microgrids, large imbalances between generated and consumed electricity exist. These fluctuations coupled with other operational constraints result in distortion of the power quality, resulting in frequent power outages. To address this problem, the microgrids must be real-time monitored at distributed locations by cost-effective, high accuracy, responsive systems in order to respond quickly to imbalances. In this paper a low-cost wireless power quality monitoring system based on Narrowband Internet of Things (NB-IoT) technology is implemented. The system includes the monitoring PCB assembled at Paderborn University, management portal and enables various micro-grid functions via a remote server.
{"title":"Low-Cost NB-IoT Microgrid Power Quality Monitoring System","authors":"Dmitry Petrov, Konstantin Kroschewski, Ibrahim Mwammenywa, Geoffrey Mark Kagarura, U. Hilleringmann","doi":"10.1109/SENSORS47087.2021.9639641","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639641","url":null,"abstract":"For small to medium-sized renewable energy dependent microgrids, large imbalances between generated and consumed electricity exist. These fluctuations coupled with other operational constraints result in distortion of the power quality, resulting in frequent power outages. To address this problem, the microgrids must be real-time monitored at distributed locations by cost-effective, high accuracy, responsive systems in order to respond quickly to imbalances. In this paper a low-cost wireless power quality monitoring system based on Narrowband Internet of Things (NB-IoT) technology is implemented. The system includes the monitoring PCB assembled at Paderborn University, management portal and enables various micro-grid functions via a remote server.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"21 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80634406","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 : 2021-10-31DOI: 10.1109/SENSORS47087.2021.9639852
Jawad Ahmad, J. Sidén, H. Andersson
The development of wearable health devices is an emerging technology, and pressure sensors have been widely used in several of these applications. Plenty of research within pressure sensors is focused on tactile sensing and artificial skin. In this paper, a highly flexible and stretchable pressure sensor is presented. The sensor comprises stretchable thermoplastic polyurethane (TPU) film as substrate and stretchable conductive inks as electrodes and sensing material. Screen printing is used to fabricate electrodes and pressure sensing components on TPU sheets. Electrical and mechanical properties of the fabricated sensors indicate good mechanical and electrical stability while retaining pressure sensing properties and marginal deterioration even after 100 elongation cycles. The findings show that the presented stretchable pressure sensor has a great potential for usage on surfaces where bending and stretching will occur while retaining nearly all of its electrical and mechanical capabilities. The proposed sensor may be employed as a wearable device to detect human movements.
{"title":"Stretchable Pressure Sensor Using Thermoplastic Polyurethane and Conductive Inks","authors":"Jawad Ahmad, J. Sidén, H. Andersson","doi":"10.1109/SENSORS47087.2021.9639852","DOIUrl":"https://doi.org/10.1109/SENSORS47087.2021.9639852","url":null,"abstract":"The development of wearable health devices is an emerging technology, and pressure sensors have been widely used in several of these applications. Plenty of research within pressure sensors is focused on tactile sensing and artificial skin. In this paper, a highly flexible and stretchable pressure sensor is presented. The sensor comprises stretchable thermoplastic polyurethane (TPU) film as substrate and stretchable conductive inks as electrodes and sensing material. Screen printing is used to fabricate electrodes and pressure sensing components on TPU sheets. Electrical and mechanical properties of the fabricated sensors indicate good mechanical and electrical stability while retaining pressure sensing properties and marginal deterioration even after 100 elongation cycles. The findings show that the presented stretchable pressure sensor has a great potential for usage on surfaces where bending and stretching will occur while retaining nearly all of its electrical and mechanical capabilities. The proposed sensor may be employed as a wearable device to detect human movements.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"601 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86668224","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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