Pub Date : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967353
Braiden Tong, Hong-Quan Nguyen, Tuan-Hung Nguyen, Tuan‐Khoa Nguyen, Viet Thanh Nguyen, T. Dinh, T. Vu, V. Dau, D. Dao
This paper presents an innovative stress amplification approach for enhancing the sensitivity of piezoresistive pressure sensors. The structure consists of two pillars raised from the membrane supporting a released 3C-SiC micro-beam which acts as the sensing element. The proposed design was demonstrated using a 3C-SiC/Si heterostructure. Experimental results found our device highly sensitive, with a high sensitivity of 0.1328 kPa−1. The sensitivity improvement was attributed to the stress-amplification phenomenon observed in our free-standing structure. Analytical and numerical methods confirmed that our device increases the stress/sensitivity by 750% over a traditional membrane structure.
{"title":"Free Standing Stress Amplification Structure for Ultrasensitive 3C-SiC/Si Pressure Sensor","authors":"Braiden Tong, Hong-Quan Nguyen, Tuan-Hung Nguyen, Tuan‐Khoa Nguyen, Viet Thanh Nguyen, T. Dinh, T. Vu, V. Dau, D. Dao","doi":"10.1109/SENSORS52175.2022.9967353","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967353","url":null,"abstract":"This paper presents an innovative stress amplification approach for enhancing the sensitivity of piezoresistive pressure sensors. The structure consists of two pillars raised from the membrane supporting a released 3C-SiC micro-beam which acts as the sensing element. The proposed design was demonstrated using a 3C-SiC/Si heterostructure. Experimental results found our device highly sensitive, with a high sensitivity of 0.1328 kPa−1. The sensitivity improvement was attributed to the stress-amplification phenomenon observed in our free-standing structure. Analytical and numerical methods confirmed that our device increases the stress/sensitivity by 750% over a traditional membrane structure.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116667517","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967101
M. Nikbakht, D. Lin, Asim H. Gazi, O. Inan
The seismocardiogram (SCG) and electrocardio-gram (ECG) signals are two signals of cardiovascular origin containing important features for cardiac health assessment. Effective use of these signals requires recordings with acceptable signal to noise ratio. Studying the effects of external factors such as vibrations on these signals, and subsequent artifact removal algorithm design, remains a challenge due to lack of access to ground truth labels and human participant safety concerns. In this work, a synthetic SCG and ECG generator system is presented that enables data collection in environments that may be unsafe or inconvenient for human participants and offers ground truth labels along with the simulated recordings. The system was validated using real human SCG and ECG signals and showed >90%, and >98% input output correlations in both time and frequency domains for SCG and ECG signals respectively. Thus, the system is able to generate realistic SCG and ECG signals with clinically relevant amplitudes favorable for participant-free data collection in relevant environments.
{"title":"A Synthetic Seismocardiogram and Electrocardiogram Generator Phantom","authors":"M. Nikbakht, D. Lin, Asim H. Gazi, O. Inan","doi":"10.1109/SENSORS52175.2022.9967101","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967101","url":null,"abstract":"The seismocardiogram (SCG) and electrocardio-gram (ECG) signals are two signals of cardiovascular origin containing important features for cardiac health assessment. Effective use of these signals requires recordings with acceptable signal to noise ratio. Studying the effects of external factors such as vibrations on these signals, and subsequent artifact removal algorithm design, remains a challenge due to lack of access to ground truth labels and human participant safety concerns. In this work, a synthetic SCG and ECG generator system is presented that enables data collection in environments that may be unsafe or inconvenient for human participants and offers ground truth labels along with the simulated recordings. The system was validated using real human SCG and ECG signals and showed >90%, and >98% input output correlations in both time and frequency domains for SCG and ECG signals respectively. Thus, the system is able to generate realistic SCG and ECG signals with clinically relevant amplitudes favorable for participant-free data collection in relevant environments.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"371 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121746558","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967169
P. Das, Yuqi Huang, T. Evans-Nguyen, V. Bhethanabotla
Surface acoustic wave (SAW) devices can generate significant heat due to acoustic damping when liquid droplets are placed on them, and this heating (acoustothermal heating) can be used for microscale heating purposes. However, SAW devices are often used in biosensing applications where significant acoustothermal temperature rise can damage the proteins or the biomolecules and destroy the sensor performances. In this paper, we have performed thermal camera-based experiments to study the heating phenomena and how they can be controlled by varying droplet sizes. We found that the temperature rise linearly increases with increasing SAW power whereas it decreases with increasing droplet volume. Hence, a larger liquid volume and lower SAW power can be used in biosensors to avoid significant heating.
{"title":"Effects of Droplet Volumes on Acoustothermal Heating in 128° YX LiNbO3 Substrates","authors":"P. Das, Yuqi Huang, T. Evans-Nguyen, V. Bhethanabotla","doi":"10.1109/SENSORS52175.2022.9967169","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967169","url":null,"abstract":"Surface acoustic wave (SAW) devices can generate significant heat due to acoustic damping when liquid droplets are placed on them, and this heating (acoustothermal heating) can be used for microscale heating purposes. However, SAW devices are often used in biosensing applications where significant acoustothermal temperature rise can damage the proteins or the biomolecules and destroy the sensor performances. In this paper, we have performed thermal camera-based experiments to study the heating phenomena and how they can be controlled by varying droplet sizes. We found that the temperature rise linearly increases with increasing SAW power whereas it decreases with increasing droplet volume. Hence, a larger liquid volume and lower SAW power can be used in biosensors to avoid significant heating.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125144812","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967233
G. Wolterink, Stijn Kolkman, G. Krijnen
This work shows the development and characterization of a fully 3D printed pneumatic soft robotic actuator with embedded strain gauges to estimate the bending angle of the actuator. The actuator was printed in one go using a multi material Fused Filament Fabrication (FFF) printer. By taking the difference of the reading of two integrated strain gauges, printed using carbon doped TPU, a strong linear relation $(R^{2}=0.97)$ between the bending angle and sensor output is achieved.
{"title":"3D Printed Soft Robotic Actuator With Embedded Strain Sensing For Position Estimation","authors":"G. Wolterink, Stijn Kolkman, G. Krijnen","doi":"10.1109/SENSORS52175.2022.9967233","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967233","url":null,"abstract":"This work shows the development and characterization of a fully 3D printed pneumatic soft robotic actuator with embedded strain gauges to estimate the bending angle of the actuator. The actuator was printed in one go using a multi material Fused Filament Fabrication (FFF) printer. By taking the difference of the reading of two integrated strain gauges, printed using carbon doped TPU, a strong linear relation $(R^{2}=0.97)$ between the bending angle and sensor output is achieved.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125290585","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967336
Anastasios Malissovas, Nitin Narayan, Thijl Boonen, S. Patki
This paper presents a smart water quality monitoring system which can measure, in real-time, the salinity, acidity, and temperature of the water. The system consists of three main units: the sensor probe, that incorporates Si-based sensors, the measuring station, and the cloud infrastructure. The proposed Internet of Things system is deployed in real-world applications and validated against commercial reference sensors. In this work, we demonstrate the long-term performance of the sensors in harsh environmental conditions without periodic maintenance, during a period of six months. Using the developed algorithms based on the measured impedance phase angle, the system can detect data irregularities and anomalous events such as biofouling and sensor failure, providing notifications to the end user for sensor maintenance or replacement.
{"title":"A Scalable, Low-Maintenance, Smart Water Quality Monitoring System","authors":"Anastasios Malissovas, Nitin Narayan, Thijl Boonen, S. Patki","doi":"10.1109/SENSORS52175.2022.9967336","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967336","url":null,"abstract":"This paper presents a smart water quality monitoring system which can measure, in real-time, the salinity, acidity, and temperature of the water. The system consists of three main units: the sensor probe, that incorporates Si-based sensors, the measuring station, and the cloud infrastructure. The proposed Internet of Things system is deployed in real-world applications and validated against commercial reference sensors. In this work, we demonstrate the long-term performance of the sensors in harsh environmental conditions without periodic maintenance, during a period of six months. Using the developed algorithms based on the measured impedance phase angle, the system can detect data irregularities and anomalous events such as biofouling and sensor failure, providing notifications to the end user for sensor maintenance or replacement.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125610997","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967225
Phil Meier, K. Rohrmann, Marvin Sandner, M. Prochaska
The knowledge of the positions and movement of mechanical components is important for many industrial and commercial applications. For example, the contactless measurement of angular positions is regularly done using a magnetic field. Unfortunately, those sensing principles are often prone to measurement errors due to interfering magnetic fields, which is problematic especially in the light of the further developments of electromechanical applications that rely on precise measurement results. On this account the following work presents a numerical approximation of the measurement error, which can help to improve the design of angular sensing systems.
{"title":"Estimating the Angular Error of Magnetic Positions Sensors Under the Influence of External Stray Fields","authors":"Phil Meier, K. Rohrmann, Marvin Sandner, M. Prochaska","doi":"10.1109/SENSORS52175.2022.9967225","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967225","url":null,"abstract":"The knowledge of the positions and movement of mechanical components is important for many industrial and commercial applications. For example, the contactless measurement of angular positions is regularly done using a magnetic field. Unfortunately, those sensing principles are often prone to measurement errors due to interfering magnetic fields, which is problematic especially in the light of the further developments of electromechanical applications that rely on precise measurement results. On this account the following work presents a numerical approximation of the measurement error, which can help to improve the design of angular sensing systems.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122529927","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967307
Amit Swain, A. Khasnobish, Smriti Rani, C. Bhaumik, T. Chakravarty
In-situ inspection of surface wear remains a daunting task for the industry. Detection of intermediate progressive dynamics of wear requires repeated examinations which is time-consuming, adding to mill downtime. Runtime inspection inside the mill necessitates the ability to sense through occluded media due to the presence of grinding dust. The primary objective of this work is to assess the feasibility of using short range interferometric synthetic aperture radar (InSAR) to detect and quantify wear or other tribological phenomena associated with metallic surfaces. A novel variable focusing algorithm has been used to generate SAR images and a unique automated co-registration scheme has been employed in the InSAR processing pipeline. The reconstructed SAR images and the generated interferogram reflect strong overlap with the ground truth of the sample under test with MSE of 0.0611.
{"title":"MilliWear — A Short Range InSAR Approach for Surface Wear Inspection using mm-Wave Radar","authors":"Amit Swain, A. Khasnobish, Smriti Rani, C. Bhaumik, T. Chakravarty","doi":"10.1109/SENSORS52175.2022.9967307","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967307","url":null,"abstract":"In-situ inspection of surface wear remains a daunting task for the industry. Detection of intermediate progressive dynamics of wear requires repeated examinations which is time-consuming, adding to mill downtime. Runtime inspection inside the mill necessitates the ability to sense through occluded media due to the presence of grinding dust. The primary objective of this work is to assess the feasibility of using short range interferometric synthetic aperture radar (InSAR) to detect and quantify wear or other tribological phenomena associated with metallic surfaces. A novel variable focusing algorithm has been used to generate SAR images and a unique automated co-registration scheme has been employed in the InSAR processing pipeline. The reconstructed SAR images and the generated interferogram reflect strong overlap with the ground truth of the sample under test with MSE of 0.0611.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122922137","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967187
Hongwei Li, Mingde Zheng, Michael S. Eggleston
The rise of IoT and 5G-powered cybernetic connectivity has drastically transformed our living environment with the rapid introduction of diverse and disaggregated sensing systems. A plethora of prototyping boards and development kits offering disparate environmental condition sensors have become available to promote DIY applications, but they require significant user programming and assembly. The adoption of commercial products on the other hand is largely limited by the high costs associated with device capability, installation and maintenance. These expenses are dominated by the power and connectivity requirements as well as long-term upkeep of device operations. To overcome these challenges, we developed an ultra-compact, low-cost and a fully packaged environmental sensing device capable of monitoring up to seven parameters at once that can be easily installed on any surface and recharges automatically with embedded solar energy harvesting. We believe this compact and power-efficient sensing device will provide an unobtrusive and cost-effective example for future distributed environment monitoring systems with a wide variety of applications.
{"title":"The Gecko Sensor: An Ultra-Compact, Low-Cost, Solar-Powered Environment Monitoring Device","authors":"Hongwei Li, Mingde Zheng, Michael S. Eggleston","doi":"10.1109/SENSORS52175.2022.9967187","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967187","url":null,"abstract":"The rise of IoT and 5G-powered cybernetic connectivity has drastically transformed our living environment with the rapid introduction of diverse and disaggregated sensing systems. A plethora of prototyping boards and development kits offering disparate environmental condition sensors have become available to promote DIY applications, but they require significant user programming and assembly. The adoption of commercial products on the other hand is largely limited by the high costs associated with device capability, installation and maintenance. These expenses are dominated by the power and connectivity requirements as well as long-term upkeep of device operations. To overcome these challenges, we developed an ultra-compact, low-cost and a fully packaged environmental sensing device capable of monitoring up to seven parameters at once that can be easily installed on any surface and recharges automatically with embedded solar energy harvesting. We believe this compact and power-efficient sensing device will provide an unobtrusive and cost-effective example for future distributed environment monitoring systems with a wide variety of applications.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131518413","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967129
J. Wang, K. Pham
In this paper, we study the optimal deployment problem in mobile sensor networks. By recasting it as an optimal coordination problem of multiagents, a new distributed policy gradient algorithm is proposed based on the minimization of the overall cost for all agents. The proposed algorithm relies on local information exchanges among neighboring agents without the requirement of known system dynamics. The policy gradient is computed based on sampling the trajectory under the perturbed control policy. The control policy is parameterized and the adaptive parameter update is carried out following the negative gradient of the overall cost. The rigorous analysis of the proposed algorithm is provided.
{"title":"A Distributed Policy Gradient Algorithm for Optimal Coordination of Mobile Sensor Networks","authors":"J. Wang, K. Pham","doi":"10.1109/SENSORS52175.2022.9967129","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967129","url":null,"abstract":"In this paper, we study the optimal deployment problem in mobile sensor networks. By recasting it as an optimal coordination problem of multiagents, a new distributed policy gradient algorithm is proposed based on the minimization of the overall cost for all agents. The proposed algorithm relies on local information exchanges among neighboring agents without the requirement of known system dynamics. The policy gradient is computed based on sampling the trajectory under the perturbed control policy. The control policy is parameterized and the adaptive parameter update is carried out following the negative gradient of the overall cost. The rigorous analysis of the proposed algorithm is provided.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127824714","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967182
Brendon Young, Weijie Luo, D. Young
This paper presents a 3D-printed wearable ring sensor incorporating a MEMS piezo-resistive pressure sensor for monitoring real-time human blood pressure pulse waveform, which can serve as an indicator for cardiovascular condition. The prototype ring sensor achieves an accurate heart rate (HR) and heart rate variability (HRV) measurement compared to a commercial EKG chest band. The proposed low-cost and user-friendly monitoring approach can potentially enable a long-term monitoring of blood pressure pulse waveform and detecting changes in waveform features and subtle abnormalities in an early stage, motivating a more thorough diagnosis and effective preventive measures.
{"title":"A 3D-Printed Wearable Ring Sensor For Long-Term Accurate Monitoring of Human Cardiovascular Condition","authors":"Brendon Young, Weijie Luo, D. Young","doi":"10.1109/SENSORS52175.2022.9967182","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967182","url":null,"abstract":"This paper presents a 3D-printed wearable ring sensor incorporating a MEMS piezo-resistive pressure sensor for monitoring real-time human blood pressure pulse waveform, which can serve as an indicator for cardiovascular condition. The prototype ring sensor achieves an accurate heart rate (HR) and heart rate variability (HRV) measurement compared to a commercial EKG chest band. The proposed low-cost and user-friendly monitoring approach can potentially enable a long-term monitoring of blood pressure pulse waveform and detecting changes in waveform features and subtle abnormalities in an early stage, motivating a more thorough diagnosis and effective preventive measures.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132579901","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：