Pub Date : 2024-12-11DOI: 10.1109/LSENS.2024.3515881
Yuexin Liu;Amir Tofighi Zavareh;Ben Zoghi
This research design delves into a groundbreaking study that highlights the innovative use of wearables and deep reinforcement learning to enhance emotional well-being and manage stress. With a focus on leveraging wearable sensor technology, specifically the Empatica EmbracePlus device, the research unfolds at the intersection of emotional intelligence (EQ) augmentation, emotion recognition, and intentional EQ practice. Leveraging the potential of wearables, participants were selected from the Master of Engineering Technical Management program at Texas A&M University based on their involvement in studies related to EQ and management. The objective is to investigate personalized strategies for improving emotional well-being through three interconnected aims: first, exploring the relationship between EQ, stress management, and physiological indicators using wearable technology; second, evaluating the effectiveness of intentional EQ practices in improving emotional well-being and reducing stress; and third, utilizing machine learning to optimize the impact of intentional practices on overall well-being. This approach underscores the potential of wearables to illuminate the physiological responses accompanying mindfulness practices, offering fresh insights into the dynamic relationship between EQ, stress management, and intentional well-being enhancement.
{"title":"Enhancing Well-Being and Alleviating Stress via Wearable-Driven Emotion Recognition and EQ Intentional Practice With Deep Reinforcement Learning","authors":"Yuexin Liu;Amir Tofighi Zavareh;Ben Zoghi","doi":"10.1109/LSENS.2024.3515881","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3515881","url":null,"abstract":"This research design delves into a groundbreaking study that highlights the innovative use of wearables and deep reinforcement learning to enhance emotional well-being and manage stress. With a focus on leveraging wearable sensor technology, specifically the Empatica EmbracePlus device, the research unfolds at the intersection of emotional intelligence (EQ) augmentation, emotion recognition, and intentional EQ practice. Leveraging the potential of wearables, participants were selected from the Master of Engineering Technical Management program at Texas A&M University based on their involvement in studies related to EQ and management. The objective is to investigate personalized strategies for improving emotional well-being through three interconnected aims: first, exploring the relationship between EQ, stress management, and physiological indicators using wearable technology; second, evaluating the effectiveness of intentional EQ practices in improving emotional well-being and reducing stress; and third, utilizing machine learning to optimize the impact of intentional practices on overall well-being. This approach underscores the potential of wearables to illuminate the physiological responses accompanying mindfulness practices, offering fresh insights into the dynamic relationship between EQ, stress management, and intentional well-being enhancement.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 1","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142905695","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 : 2024-12-09DOI: 10.1109/LSENS.2024.3514533
Shingirirai Chakoma;Jerome Rajendran;Xiaochang Pei;Anita Ghandehari;Jorge Alfonso Tavares Negrete;Rahim Esfandyarpour
In this letter, we developed a self-powered, flexible, and multi-nanomaterial 3-D-printed triboelectric nanogenerator (TENG)-force sensor designed to address the limitations of traditional force sensors, which are often rigid, bulky, and reliant on external power sources. The sensor leverages the unique triboelectric properties of the MXene/polyaniline (PANI) composite and styrene-ethylene-butylene-styrene, functioning through triboelectric charges generated during contact and separation cycles. The TENG device achieved a maximum output voltage of 680 V and a peak power density of 900 mW/m 2 ; under optimal conditions of 6 Hz contact frequency and 40 N force. It also demonstrated a maximum sensitivity of 1.3 pF/N within the 1–10 N force range. Extensive testing confirmed the sensor's long-term environmental stability, attributed to the protective PANI layer preventing MXene oxidation. These results highlight the potential of our TENG device for sustainable, self-powered, and long-term force-sensing applications.
{"title":"Pioneering 3-D-Printed Devices With Triboelectric Nanogenerators for Advanced Self-Powered Force Sensing","authors":"Shingirirai Chakoma;Jerome Rajendran;Xiaochang Pei;Anita Ghandehari;Jorge Alfonso Tavares Negrete;Rahim Esfandyarpour","doi":"10.1109/LSENS.2024.3514533","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3514533","url":null,"abstract":"In this letter, we developed a self-powered, flexible, and multi-nanomaterial 3-D-printed triboelectric nanogenerator (TENG)-force sensor designed to address the limitations of traditional force sensors, which are often rigid, bulky, and reliant on external power sources. The sensor leverages the unique triboelectric properties of the MXene/polyaniline (PANI) composite and styrene-ethylene-butylene-styrene, functioning through triboelectric charges generated during contact and separation cycles. The TENG device achieved a maximum output voltage of 680 V and a peak power density of 900 mW/m\u0000<sup>2</sup>\u0000; under optimal conditions of 6 Hz contact frequency and 40 N force. It also demonstrated a maximum sensitivity of 1.3 pF/N within the 1–10 N force range. Extensive testing confirmed the sensor's long-term environmental stability, attributed to the protective PANI layer preventing MXene oxidation. These results highlight the potential of our TENG device for sustainable, self-powered, and long-term force-sensing applications.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 1","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142912434","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 : 2024-12-09DOI: 10.1109/LSENS.2024.3512942
Harshvardhan Kumar;Rikmantra Basu
This letter presents a novel approach to improve the optical responsivity by developing $mathrm{G}{{mathrm{e}}_{1 - x}}mathrm{S}{{mathrm{n}}_x}/text{Ge}$ waveguide-integrated p-i-n photodetectors (WGPDs) on the silicon (Si) platform. The proposed WGPD demonstrates an absorbance of ∼99%, which is 50% greater than the absorbance shown by the conventional p-i-n PD. In addition, the WG core's height and the PD's length significantly impact the optical evanescent field. Specifically, when the WG core height is increased, it results in a decrease in responsivity. On the other hand, increasing the PD length leads to increased responsivity. As a result of optimizing the WG core height and PD length, the WGPD achieves an unprecedented level of responsivity at a wavelength of 1.55 µm. The responsivity at a wavelength of 1.55 µm is >1.97A/W, surpassing the performance of both conventional p-i-n PD and previously theoretically reported values. It is remarkable to note that this value of responsivity is the highest theoretical value to date. Therefore, the proposed $mathrm{G}{{mathrm{e}}_{1 - x}}mathrm{S}{{mathrm{n}}_x}/text{Ge}$ -on-Si WGPD presents a promising opportunity for developing high-performance optical receivers in short-wave infrared (SWIR) bands.
{"title":"High-Responsivity Waveguide-Integrated ${{mathbf{G}{{mathbf{e}}_{1 - {bm{x}}}}mathbf{S}{{mathbf{n}}_{bm{x}}}}}/{{mathbf{Ge}}}$-Based p-i-n Photodetectors on Silicon Platform for Short-Wave Infrared Applications","authors":"Harshvardhan Kumar;Rikmantra Basu","doi":"10.1109/LSENS.2024.3512942","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3512942","url":null,"abstract":"This letter presents a novel approach to improve the optical responsivity by developing \u0000<inline-formula><tex-math>$mathrm{G}{{mathrm{e}}_{1 - x}}mathrm{S}{{mathrm{n}}_x}/text{Ge}$</tex-math></inline-formula>\u0000 waveguide-integrated \u0000<italic>p-i-n</i>\u0000 photodetectors (WGPDs) on the silicon (Si) platform. The proposed WGPD demonstrates an absorbance of ∼99%, which is 50% greater than the absorbance shown by the conventional \u0000<italic>p-i-n</i>\u0000 PD. In addition, the WG core's height and the PD's length significantly impact the optical evanescent field. Specifically, when the WG core height is increased, it results in a decrease in responsivity. On the other hand, increasing the PD length leads to increased responsivity. As a result of optimizing the WG core height and PD length, the WGPD achieves an unprecedented level of responsivity at a wavelength of 1.55 µm. The responsivity at a wavelength of 1.55 µm is >1.97A/W, surpassing the performance of both conventional \u0000<italic>p-i-n</i>\u0000 PD and previously theoretically reported values. It is remarkable to note that this value of responsivity is the highest theoretical value to date. Therefore, the proposed \u0000<inline-formula><tex-math>$mathrm{G}{{mathrm{e}}_{1 - x}}mathrm{S}{{mathrm{n}}_x}/text{Ge}$</tex-math></inline-formula>\u0000-on-Si WGPD presents a promising opportunity for developing high-performance optical receivers in short-wave infrared (SWIR) bands.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 1","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142912407","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 : 2024-12-09DOI: 10.1109/LSENS.2024.3514775
Asim Arif;Shahzad Muzaffar;Ibrahim M. Elfadel
In this letter, we report on the very first shoe-integrated sensory system for continuous body weight monitoring that is free of motion sensors and that can operate uninterrupted on a coin cell battery for 20 days. In contrast with shoe-integrated sensory systems that focus on gait analysis, fall detection, or diabetes foot, the proposed system is designed to enable continuous body weight monitoring “in the wild.” Its implementation features a custom highly miniaturized PCB that can be inserted into the back of the shoe, a unique undershoe interconnect fabric for signal routing and processing, and a smartphone app for body weight monitoring and recording. This novel wearable sensory system represents a major advance over our prior prototype, achieving a volume reduction of more than 98%, a weight reduction of more than 97%, and the replacement of a bulky 10 000 mAh battery pack with a 750 mAh coin cell battery. The novel wearable sensory system addresses the major clinical problem of patient compliance with monitoring and treatment protocols that require frequent measurements of body weight, as is the case with congestive heart failure, diabetes, and several forms of cancer.
{"title":"A Miniaturized Shoe-Integrated Wearable Sensory System for Continuous Passive Body Weight Monitoring","authors":"Asim Arif;Shahzad Muzaffar;Ibrahim M. Elfadel","doi":"10.1109/LSENS.2024.3514775","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3514775","url":null,"abstract":"In this letter, we report on the very first shoe-integrated sensory system for continuous body weight monitoring that is free of motion sensors and that can operate uninterrupted on a coin cell battery for 20 days. In contrast with shoe-integrated sensory systems that focus on gait analysis, fall detection, or diabetes foot, the proposed system is designed to enable continuous body weight monitoring “in the wild.” Its implementation features a custom highly miniaturized PCB that can be inserted into the back of the shoe, a unique undershoe interconnect fabric for signal routing and processing, and a smartphone app for body weight monitoring and recording. This novel wearable sensory system represents a major advance over our prior prototype, achieving a volume reduction of more than 98%, a weight reduction of more than 97%, and the replacement of a bulky 10 000 mAh battery pack with a 750 mAh coin cell battery. The novel wearable sensory system addresses the major clinical problem of patient compliance with monitoring and treatment protocols that require frequent measurements of body weight, as is the case with congestive heart failure, diabetes, and several forms of cancer.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938092","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 : 2024-12-09DOI: 10.1109/LSENS.2024.3512604
Nishchitha N K;Sanket Goel
The recent advancements in the in-situ synthesis of various nanomaterials have garnered significant interest and been widely utilized across multiple industries. In this context, this study presents the development of a highly sensitive sensor for the detection of inorganic phosphate from human serum. This sensor utilizes a laser-assisted ultra-rapid in-situ synthesized cobalt-reduced graphene oxide (Co-rGO) composite. Structural and morphological changes were observed and optimized using standard characterization techniques. The developed sensor verified remarkable performance within a linear range of 1 to 100 mM, exhibiting a detection limit of 0.052 mM for phosphate. In the future, the method for developing an in-situ material will be able to initiate a larger scale rapid composite material synthesis and a disposal sensor with a portable, user-friendly phosphate sensor for adults and patients with renal disease.
{"title":"In-Situ Synthesized Co-rGO Nanocomposite: A Robust Selective Material for Phosphate Electrochemical Sensor","authors":"Nishchitha N K;Sanket Goel","doi":"10.1109/LSENS.2024.3512604","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3512604","url":null,"abstract":"The recent advancements in the in-situ synthesis of various nanomaterials have garnered significant interest and been widely utilized across multiple industries. In this context, this study presents the development of a highly sensitive sensor for the detection of inorganic phosphate from human serum. This sensor utilizes a laser-assisted ultra-rapid in-situ synthesized cobalt-reduced graphene oxide (Co-rGO) composite. Structural and morphological changes were observed and optimized using standard characterization techniques. The developed sensor verified remarkable performance within a linear range of 1 to 100 mM, exhibiting a detection limit of 0.052 mM for phosphate. In the future, the method for developing an in-situ material will be able to initiate a larger scale rapid composite material synthesis and a disposal sensor with a portable, user-friendly phosphate sensor for adults and patients with renal disease.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 1","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142905697","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 : 2024-12-09DOI: 10.1109/LSENS.2024.3512880
Yeonju Choi;Dongoo Lee;SungTae Moon
Deforestation in the Amazon rainforest is approaching historically worst levels, and accurate estimation of deforested areas is crucial to protect against further deforestation. In this letter, we propose a forest deforestation segmentation approach based on Mask2Former, which utilizes multisatellite information and an optimized backbone network. Particularly, we enable the determination of whether to use the corresponding optical imagery during the training phase based on the amount of cloud cover and applied a model to compensate for the resulting data sparsity. The model reflects deforestation occurrence information at specific points in time in the deforestation predictions at points in the same time series, thereby detecting deforestation with high accuracy while compensating for data shortages. In experiments, the proposed method achieved excellent performance, with a pixel accuracy of 91.1% and an F1 score of 88.8%. This method was validated by achieving the best segmentation performance for deforested areas in the official CVPR MultiEarth Workshop 2023 challenge.
{"title":"Deforestation Segmentation Approach Based on Time of Event Occurrence Using Multitemporal Satellite Data","authors":"Yeonju Choi;Dongoo Lee;SungTae Moon","doi":"10.1109/LSENS.2024.3512880","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3512880","url":null,"abstract":"Deforestation in the Amazon rainforest is approaching historically worst levels, and accurate estimation of deforested areas is crucial to protect against further deforestation. In this letter, we propose a forest deforestation segmentation approach based on Mask2Former, which utilizes multisatellite information and an optimized backbone network. Particularly, we enable the determination of whether to use the corresponding optical imagery during the training phase based on the amount of cloud cover and applied a model to compensate for the resulting data sparsity. The model reflects deforestation occurrence information at specific points in time in the deforestation predictions at points in the same time series, thereby detecting deforestation with high accuracy while compensating for data shortages. In experiments, the proposed method achieved excellent performance, with a pixel accuracy of 91.1% and an F1 score of 88.8%. This method was validated by achieving the best segmentation performance for deforested areas in the official CVPR MultiEarth Workshop 2023 challenge.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142975823","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}
LC sensors represent a very practical and efficient solution for low-power, low-cost, and highly scalable wireless sensors, in a wide range of medical, industrial, automotive, and agricultural applications. Conventional LC sensing circuits consist of a capacitive sensor and an inductive link. A change in capacitance is translated to a shift in resonance frequency, that can be recorded by a reader coil. These sensors are limited to measuring one parameter (change in capacitance). There is scope to extend the capabilities of LC sensors to monitor two parameters simultaneously. We have recently proposed an inductive sensor for pressure/displacement monitoring that can be combined with a capacitive sensor. In this letter, we present the working principle of a tuned amplifier with a dual-parameter LC sensor. This letter represents a proof-of-concept for the development of future more compact and scalable LC sensors.
{"title":"Tuned Amplifier With Embedded Dual-Parameter LC Sensor","authors":"Noah Becker;Quentin Currier-Moritsugu;Virgilio Valente","doi":"10.1109/LSENS.2024.3508272","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3508272","url":null,"abstract":"LC sensors represent a very practical and efficient solution for low-power, low-cost, and highly scalable wireless sensors, in a wide range of medical, industrial, automotive, and agricultural applications. Conventional LC sensing circuits consist of a capacitive sensor and an inductive link. A change in capacitance is translated to a shift in resonance frequency, that can be recorded by a reader coil. These sensors are limited to measuring one parameter (change in capacitance). There is scope to extend the capabilities of LC sensors to monitor two parameters simultaneously. We have recently proposed an inductive sensor for pressure/displacement monitoring that can be combined with a capacitive sensor. In this letter, we present the working principle of a tuned amplifier with a dual-parameter LC sensor. This letter represents a proof-of-concept for the development of future more compact and scalable LC sensors.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 1","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142875139","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 : 2024-12-05DOI: 10.1109/LSENS.2024.3512200
Roman Kusche;Daniel Dichte;Jean Carlos Herzog Gomez;Tobias Thölen
The continuous acquisition of the arterial pulse wave can be used to determine the heart rate and to estimate the blood pressure. Existing wearables require special sensors and often only detect the pulse wave at the extremities from the peripheral blood vessels, far away from the heart and aorta. In addition, these wearables are sometimes expensive and uncomfortable. The objective of this work is therefore the development of a comfortable wearable measurement system that continuously acquires the pulse wave. The approach presented in this work is based on the minor deformation of the ear canal when the pulse wave arrives. By sealing the ear canal using commercial headphones, these deformations are converted into small changes in air pressure. These pressure changes are detected directly by the headphones and converted into an electrical signal. An electronic measuring system was developed to record pulse waves and play music simultaneously. This system can be connected between any conventional audio source and headphones. The measuring system digitizes the low-frequency signal components and transmits them to an analysis system, such as a smartphone or PC. On this system, the signals undergo a digital signal processing chain. A subject measurement was conducted to evaluate the measurement approach. The music being played and an electrocardiogram were also recorded used as reference signals. The measurement demonstrated that with the new system, the pulse waves in both ears can be recorded during music playback with simple headphones and correlate with the electrocardiogram.
{"title":"Pulse Wave Measurement With In-Ear Headphones While Music Playback","authors":"Roman Kusche;Daniel Dichte;Jean Carlos Herzog Gomez;Tobias Thölen","doi":"10.1109/LSENS.2024.3512200","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3512200","url":null,"abstract":"The continuous acquisition of the arterial pulse wave can be used to determine the heart rate and to estimate the blood pressure. Existing wearables require special sensors and often only detect the pulse wave at the extremities from the peripheral blood vessels, far away from the heart and aorta. In addition, these wearables are sometimes expensive and uncomfortable. The objective of this work is therefore the development of a comfortable wearable measurement system that continuously acquires the pulse wave. The approach presented in this work is based on the minor deformation of the ear canal when the pulse wave arrives. By sealing the ear canal using commercial headphones, these deformations are converted into small changes in air pressure. These pressure changes are detected directly by the headphones and converted into an electrical signal. An electronic measuring system was developed to record pulse waves and play music simultaneously. This system can be connected between any conventional audio source and headphones. The measuring system digitizes the low-frequency signal components and transmits them to an analysis system, such as a smartphone or PC. On this system, the signals undergo a digital signal processing chain. A subject measurement was conducted to evaluate the measurement approach. The music being played and an electrocardiogram were also recorded used as reference signals. The measurement demonstrated that with the new system, the pulse waves in both ears can be recorded during music playback with simple headphones and correlate with the electrocardiogram.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 1","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142858980","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 : 2024-12-05DOI: 10.1109/LSENS.2024.3511620
Jin Xing;DongKai Yang;Yu Long;Feng Wang;Zhibo Zhang
Global navigation satellite system-reflectometry technology uses the carrier phase approach to improve the accuracy of sea surface height (SSH) retrieval accuracy. This research introduces a method that combines continuity detection and adaptively weighted fitting to enhance the accuracy of sea-level monitoring. The implementation of the suggested iteratively reweighted least squares method, incorporating integrated, comprehensive coherence indicator weights, results in a significant 1.59% improvement in the area under the curve performance. The root-mean-square error of the retrieved SSH from the CYGNSS satellite dataset is approximately 5 cm. In addition, a coastal experiment has shown that the suggested method achieves a measurement precision of 1 cm for SSH, with an untracked ratio of 13%.
{"title":"Carrier Phase Continuity Monitoring and Correction in GNSS-R Sea Surface Altimetry Systems","authors":"Jin Xing;DongKai Yang;Yu Long;Feng Wang;Zhibo Zhang","doi":"10.1109/LSENS.2024.3511620","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3511620","url":null,"abstract":"Global navigation satellite system-reflectometry technology uses the carrier phase approach to improve the accuracy of sea surface height (SSH) retrieval accuracy. This research introduces a method that combines continuity detection and adaptively weighted fitting to enhance the accuracy of sea-level monitoring. The implementation of the suggested iteratively reweighted least squares method, incorporating integrated, comprehensive coherence indicator weights, results in a significant 1.59% improvement in the area under the curve performance. The root-mean-square error of the retrieved SSH from the CYGNSS satellite dataset is approximately 5 cm. In addition, a coastal experiment has shown that the suggested method achieves a measurement precision of 1 cm for SSH, with an untracked ratio of 13%.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 1","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142858981","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 : 2024-12-04DOI: 10.1109/LSENS.2024.3510873
Marini L;Dinesh Kumar S;Suman K Jhajharia;MK Padmanabhan;Roop L Mahajan;Chithra Lekha P
In this letter, we develop a sustainable water-based conductive ink using coal-derived reduced graphene oxide (C-rGO) stabilized with sodium carboxymethyl cellulose. This ink exhibits high conductivity (∼4.1 S/m) and good printability on various substrates, including polyethylene terephthalate (PET), Whatman paper, and Flexzil. Screen printing on flexible, biodegradable Flexzil substrates shows excellent adhesion and uniform morphology. The ink's humidity sensitivity was tested, displaying an 85%-resistance change over a range of 30%–80% relative humidity. The facile one-pot synthesis method ensures cost-effectiveness and scalability. This makes the C-rGO ink suitable for applications in wearable electronics, flexible sensors, and environmental monitoring, offering a sustainable alternative to traditional conductive inks.
{"title":"Screen Printable, Sustainable Water-Based Functional Ink From Coal-Derived Reduced Graphene Oxide for Humidity Sensing","authors":"Marini L;Dinesh Kumar S;Suman K Jhajharia;MK Padmanabhan;Roop L Mahajan;Chithra Lekha P","doi":"10.1109/LSENS.2024.3510873","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3510873","url":null,"abstract":"In this letter, we develop a sustainable water-based conductive ink using coal-derived reduced graphene oxide (C-rGO) stabilized with sodium carboxymethyl cellulose. This ink exhibits high conductivity (∼4.1 S/m) and good printability on various substrates, including polyethylene terephthalate (PET), Whatman paper, and Flexzil. Screen printing on flexible, biodegradable Flexzil substrates shows excellent adhesion and uniform morphology. The ink's humidity sensitivity was tested, displaying an 85%-resistance change over a range of 30%–80% relative humidity. The facile one-pot synthesis method ensures cost-effectiveness and scalability. This makes the C-rGO ink suitable for applications in wearable electronics, flexible sensors, and environmental monitoring, offering a sustainable alternative to traditional conductive inks.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 1","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142880430","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：