Tabi Fouda Bernard Marie;Edima-Durand Hélène Carole;Atangana Jacques;Zhang Wenjun
{"title":"Research of a New Technique to Improve Temperature Measurements in the BOTDA Fiber Sensor","authors":"Tabi Fouda Bernard Marie;Edima-Durand Hélène Carole;Atangana Jacques;Zhang Wenjun","doi":"10.1109/JSEN.2024.3487143","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3487143","url":null,"abstract":"Brillouin optical time-domain analysis (BOTDA) is a powerful device that measures temperature along sensing cables/fiber optics with fast response. The Brillouin gain spectrum for various sensing cable lengths is analyzed according to the principles of the device system. Experiments are carried out on the original data collected from the BOTDA device along a 100-km sensing cable; these original data are collected at four different positions (5, 10, 50, and 90 km) of the sensing cable. Analytically, the results show a lot of noise coming from the BOTDA device, especially when the length of the sensing cable increases. For this reason, this article proposes the use of a shielded printed circuit board (PCB) winding flyback converter to address this issue. It is demonstrated that the proposed approach (PA) greatly reduces high-frequency noise by almost 23 dB. Two independent filters have been used to filter the original data. Their results are compared with those obtained by the PA. The results show that the PA benefits from the best processing time, regardless of the portion on which the test is performed.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"40939-40951"},"PeriodicalIF":4.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mariam El Gharbi;Jamal Abounasr;Raúl Fernández García;Ignacio Gil Gali
{"title":"Textile Stretchable Antenna-Based Sensor for Breathing Monitoring","authors":"Mariam El Gharbi;Jamal Abounasr;Raúl Fernández García;Ignacio Gil Gali","doi":"10.1109/JSEN.2024.3485472","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3485472","url":null,"abstract":"Breathing rate is a crucial vital sign for evaluating well-being and identifying underlying diseases related to the respiration system. This article presents a fully stretchable triangular loop antenna-based sensor for real-time respiration monitoring. This antenna is integrated into a commercially available T-shirt, which is made of stretchable conductive ink printed on a thermoplastic polyurethane (TPU) substrate. The sensing mechanism is influenced by shifts in the resonance frequency of a triangular loop antenna sensor, which occurs due to thoracic and abdominal deformation during the breathing cycle of inspiration and expiration. The proposed system captures breathing patterns by detecting shifts in the resonance frequency, which are continuously recorded in real-time via MATLAB. The vector network analyzer (VNA) was connected to a remote PC via a LAN interface to store the breathing data on a PC host, facilitating data transfer over TCP/IP through the same LAN interface. The proposed antenna-based sensor stands out for its lightweight structure making it convenient to embed in clothing and its ability to provide continuous monitoring of different breathing patterns including eupnea, bradypnea, tashypnea, ataxic, sighing, and Biot’s breathing. The proposed system was tested through experimental measurements, and the obtained results matched well with the standard breathing patterns provided by the World Health Organization.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"42018-42027"},"PeriodicalIF":4.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10741220","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kaiyuan Lai;Ming Chen;Delang Lin;Yurong Liu;Rongsheng Chen;Ruohe Yao
{"title":"Ultrasensitive ZnO-Nanorod-Structured Pressure Sensor by Integrating InSnZnO Thin-Film Transistor","authors":"Kaiyuan Lai;Ming Chen;Delang Lin;Yurong Liu;Rongsheng Chen;Ruohe Yao","doi":"10.1109/JSEN.2024.3486107","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3486107","url":null,"abstract":"An ultrasensitive pressure sensor integrated thin-film transistor (TFT) was fabricated by using In-Sn–Zn-O (ITZO) thin film as an active channel layer and hydrothermally grown ZnO nanorods (ZnO NRs) as a sensing layer, in which polydimethylsiloxane (PDMS) film was used as a charge coupling layer between the ZnO NRs and the active channel. When an external mechanical pressure is applied to the ZnO NRs, piezo-induced charges generated within the ZnO NRs modulate the charge density in the channel of the ITZO TFT. This modulation effectively alters the drain-source current of the TFT, thereby enabling the sensor to detect and respond to the applied pressure. The integrated sensor exhibits a good response to external pressure, and the sensitivity can be significantly regulated by the gate-bias voltage, and the sensitivity in the subthreshold region is higher than that in the ON-state region with a regulation ratio of 157.6, the highest sensitivity of 0.57 kPa-1, and a response time of 33 ms. Meanwhile, the integrated pressure sensor can be employed to detect subtle external force stimulation, such as the generated output voltage of 250 mV under an external pressure of 35 mg. It is demonstrated that the integrated sensor has potential applications in milli-micro Newton-level force measurement and high-sensitive tactile perception.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"40549-40557"},"PeriodicalIF":4.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transition Metal (Rh, Pd, and Pt) Doped SnS₂ Monolayer as Promising Work Function Gas Sensors for H₂Se Detection: A DFT Study","authors":"Dachang Chen;Qing Miao;Honghua Liao;Song Xiao;Beibei Xiao;Xiaoxing Zhang","doi":"10.1109/JSEN.2024.3486563","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3486563","url":null,"abstract":"The exploration of hydrogen selenide (H2Se) gas sensor is crucial for human and environmental safety in semiconductor manufacturing and coal gasification processes. In this study, density functional theory (DFT) was employed to investigate the adsorption and sensing properties of pristine and transition metal (TM) (Rh, Pd, and Pt) doped SnS2 (TM-SnS2) monolayer toward H2 Se. The physical stability of TM-SnS2, adsorption energies, electron transfer and distribution, chemical interactions, and overall sensing performance were examined. The results indicate that all three TM-SnS2 structures exhibit physical stability, as evidenced by their larger binding energies compared to their bulk phases. The introduction of TM atoms significantly enhances both adsorption energy and electron transfer. Moreover, all three TM atoms display strong chemical interactions with the Se atom, with adsorption on Rh and Pt sites showing a high potential for new bond formation. As work function-based gas sensor, all three TM-SnS2 exhibit a clear response to H2Se. When considering the operating environment under air condition, only Rh-SnS2 and Pt-SnS2 can detect 50 ppb of H2Se. Overall, Rh-SnS2 and Pt-SnS2 are proposed as promising candidates for H2Se sensing applications in industrial and environmental monitoring.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"40367-40375"},"PeriodicalIF":4.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Low-Power FPGA-Based Spiking Neural Networks for Real-Time Decoding of Intracortical Neural Activity","authors":"Luca Martis;Gianluca Leone;Luigi Raffo;Paolo Meloni","doi":"10.1109/JSEN.2024.3487021","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3487021","url":null,"abstract":"Brain-machine interfaces (BMIs) are systems designed to decode neural signals and translate them into commands for external devices. Intracortical microelectrode arrays (MEAs) represent a significant advancement in this field, offering unprecedented spatial and temporal resolutions for monitoring brain activity. However, processing data from MEAs presents challenges due to high data rates and computing power requirements. To address these challenges, we propose a novel solution leveraging spiking neural networks (SNNs) that, due to their similarity to biological neural networks and their event-based nature, promise high compatibility with neural signals and low energy consumption. In this study, we introduce a real-time neural decoding system based on an SNN, deployed on a Lattice iCE40UP5k FPGA. This system is capable of reconstructing multiple target variables, related to the kinematics and kinetics of hand motion, from iEEG signals recorded by a 96-channel MEA. We evaluated the system using two different public datasets, achieving results similar to state-of-the-art neural decoders that use more complex deep learning models. This was obtained while maintaining an average power consumption of 13.9 mW and an average energy consumption per inference of 13.9 uJ.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"42448-42459"},"PeriodicalIF":4.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10741235","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yi-Hsiang Lin;Yu-Jen Wang;Yu-Shu Chen;Shih-Ting Lin
{"title":"Design of a Noncontact Magnetostrictive Force Sensor Applied to Movable Objects","authors":"Yi-Hsiang Lin;Yu-Jen Wang;Yu-Shu Chen;Shih-Ting Lin","doi":"10.1109/JSEN.2024.3486964","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3486964","url":null,"abstract":"This article proposes a noncontact magnetostrictive force sensor (NMASS) using a Permendur strip. In comparison with the use of coils in conventional magnetostrictive force sensors (MAFSs), this design employs two magnets and a Hall sensor to generate a magnetic field and detect magnetic field variations induced by applied forces, respectively. Moreover, an equivalent magnetic circuit model is developed to describe the behavior of magnetic flux in the sensor and is used for deciding the suitable magnetostrictive material parameters. Then, COMSOL simulations and experiments were conducted to verify the equivalent magnetic circuit model and the sensor’s operation. The sensor’s force sensitivity was 1.34 mG/N, and the linearity was calculated to be ±2.92% under the application of a 480 N force in the experiments. The proposed sensor exhibits the features of low power consumption, noncontact force sensing, and miniaturization. Therefore, this sensor could be applied to movable objects, e.g., tension sensing for conveyor belts, axial force detection for spindles, or additional load measurement for robot joint motors.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"40558-40567"},"PeriodicalIF":4.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Augmenting Multidimensional Fingerprint With Wavelet Transform for Indoor Localization","authors":"Keliu Long;Yaning Li;Kun Zhang;Xiaohong Zhang","doi":"10.1109/JSEN.2024.3486097","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3486097","url":null,"abstract":"In indoor positioning systems, Wi-Fi fingerprint positioning often attracts the attention of researchers due to its advantages such as popularity and low cost. However, Wi-Fi fingerprint positioning relies on a large number of labeled fingerprints, and these fingerprints are prone to becoming invalid in dynamic environments, resulting in very frequent Wi-Fi fingerprint collection, which is unfavorable for the promotion of Wi-Fi fingerprint positioning. To address this issue, this work proposes a fingerprint augmentation method based on wavelet transform, which reduces the need for extensive fingerprint data collection while maintaining localization accuracy. Specifically, the method first utilizes the virtual positions of Wi-Fi access points (APs) to embed spatial information into the fingerprint sequence, transforming the 1-D fingerprint sequence into a multidimensional fingerprint grayscale image. Furthermore, various fingerprint augmentation schemes based on discrete wavelet transform (DWT) are proposed to expand the fingerprint database and further enhance the robustness of the positioning model. Finally, a series of schemes are designed to verify the effectiveness of the fingerprint augmentation schemes, and comparisons are made with similar works. The results indicate that the DWT-based fingerprint augmentation scheme proposed in this article effectively reduces the reliance on labeled fingerprints without a significant increase in time complexity. Compared to similar works, it demonstrates greater adaptability to dynamic environments.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"42047-42063"},"PeriodicalIF":4.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lin Tong;Yue Shen;Ping Wang;Xinwang Shi;Kunlin Wang;Peng Wang;Xiaowei Zhou
{"title":"Combined Truncated Sidelobe Suppression and Iterative Adaptive MAP Beamforming for Ultrasound Imaging","authors":"Lin Tong;Yue Shen;Ping Wang;Xinwang Shi;Kunlin Wang;Peng Wang;Xiaowei Zhou","doi":"10.1109/JSEN.2024.3486735","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3486735","url":null,"abstract":"In ultrasound (US) plane-wave (PW) imaging, the delay and sum (DAS) beamformer, which is essentially a maximum likelihood estimator, is unable to utilize the a priori information of the signal, resulting in limited image quality, such as a wide main lobe and clutter artifacts. In this article, based on the maximum a posteriori (MAP) framework, we present the iterative adaptive MAP (iAMAP) method beamformer. This method adaptively adjusts the output according to the signal-to-noise ratio (SNR), achieving a good tradeoff between high contrast and scattering preservation performance with low complexity. Considering one drawback of the MAP framework, which struggles to eliminate high sidelobe noise, we employ a truncated sidelobe suppression (TSS) framework to estimate the distribution of the sidelobe noise of the PW signal. This allows for adaptive truncation of weak under noise, avoiding subsequent erroneous suppression of the speckle background. Finally, the TSS is combined with iAMAP to obtain the final beamformer (TiAMAP), to obtain a tradeoff between resolution and contrast, as well as speckle preservation. The results show that, compared with the DAS, the full-width at half-maximum (FWHM) of the TiAMAP for point targets was reduced by an average of 36.53% and 64.71% in simulations and experiments, respectively. The corresponding contrast ratio (CR) improved by an average of 552.38% in simulations and 348.45% in experiments. The TiAMAP method effectively suppresses clutter in the carotid artery and breast cysts, providing better imaging quality. In conclusion, the proposed method can effectively enhance image resolution and CR while maintaining low computational complexity.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"41563-41571"},"PeriodicalIF":4.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Suppressing Interrupted Sampling Repeater Jamming by Transceiver Design of Fully Polarimetric Wideband Radars","authors":"Xu Cheng;Mengliang Li;Domenico Ciuonzo;Fulai Wang;Pengcheng Gong;Yuntao Wu","doi":"10.1109/JSEN.2024.3486761","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3486761","url":null,"abstract":"The interrupted sampling repeater jamming (ISRJ) is adept at generating multiple false targets with high fidelity at radar receivers through subsampling, leading to significant challenges in detecting actual targets. This article presents a novel approach to mitigate such jamming by jointly designing the transmit waveform and receive filter of a fully polarimetric wideband radar system. In this study, we aim to minimize the sum of the target’s integral sidelobe (ISL) energy and the jamming’s total energy at the filter output. To ensure effective control over the mainlobe energy levels, we impose equality constraints on the peak values of both the target and jamming signals. Additionally, a constant-module constraint is applied to the transmit signal to prevent distortion at the transmitter. We incorporate the modulation of the target impulse response matrix (TIRM) to align with wideband illumination scenarios, utilizing the average TIRM over a specific target aspect angle (TAA) interval to mitigate sensitivity in the signal-to-interference plus noise ratio (SINR) related to TAA variations. To address this nonconvex optimization problem, we propose an efficient algorithm based on an alternating optimization framework. Within this framework, the alternating direction method of multipliers (ADMM) is employed to tackle the inner subproblems, yielding closed-form solutions at each iteration. The experimental results demonstrate the effectiveness of the proposed algorithm, highlighting the benefits of wideband radar illumination, the resilience of output SINR to TAA uncertainty, and the enhanced jamming suppression capabilities of the fully polarimetric system.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"41572-41584"},"PeriodicalIF":4.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dopamine-Modified Barium Titanate Nanowires /PVDF-HFP Coaxial Electrospun Piezoelectric Sensor for Human Motion Detection","authors":"Tianwei Liu;Ben Zhang;Jie Wang;Ying Tian;Zejun Wu;Jian Gao;Lei Xu","doi":"10.1109/JSEN.2024.3481309","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3481309","url":null,"abstract":"Sensors for physiological signals and body motion status need a high level of sensitivity and quick response. A multiscaled piezoelectric structure constructed by nanofibers that can detect minuscule pressures is expected to be made into wearable sensors. In this article, a hierarchical nanofiber structure, including barium titanate nanowires (BNWs) and polyvinylidene fluoride-hexafluoropropylene (PVDF-HFP) with dopamine-modified nanofiber membrane, was prepared by coaxial electrospinning, and the sensitivity of the piezoelectric response was improved by introducing barium titanate nanowires and modifying dopamine (DA). To determine the optimal parameters, a high-speed camera was introduced to explore the impacts of different spinning needles, flow rates, and core-shell solution concentrations. Then, the optimal parameters were used to encapsulate the membrane into a sandwich-structure piezoelectric sensor, and the dynamic response to human body motion signals was tested. The sensing performance of the sensors has been thoroughly studied, including bending sensitivity (0.2025 V/°), maximum output voltage (0.93 V), hysteresis of dynamic signal capture (81 ms), and cyclic pressing durability (5 h and 49 min at 1 Hz). In addition, the sensor was integrated into the knit elbow straps and the insoles of sports shoes, providing a valuable resource for the analysis of human motion signals in smart wearable devices.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"40485-40493"},"PeriodicalIF":4.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}