IEEE Sensors Letters最新文献_第3页

Calorimetric Monitoring of Exothermic Reactions by Distributed Acoustic Sensing 分布式声传感放热反应的量热监测

IF 2.2

IEEE Sensors Letters Pub Date : 2025-09-04 DOI: 10.1109/LSENS.2025.3606119

Yannik Schick;Guilherme H. Weber;Robin Hohensinn;Danilo F. Gomes;Cicero Martelli;Mark W. Hlawitschka;Marco J. Da Silva

引用次数: 0

Active Heat-Loss Compensated Miniaturized Pirani Sensor Chip 主动热损失补偿小型化皮拉尼传感器芯片

IF 2.2

IEEE Sensors Letters Pub Date : 2025-09-03 DOI: 10.1109/LSENS.2025.3605747

J. Eiler;S. Weber;P. Gerlesberger;H. Plöchinger;R. Schreiner

引用次数: 0

PixTransNet: A Sensor-Aware CNN–Transformer Model for Magnetic Flux Leakage Defect Segmentation PixTransNet：用于漏磁缺陷分割的传感器感知cnn -变压器模型

IF 2.2

IEEE Sensors Letters Pub Date : 2025-09-02 DOI: 10.1109/LSENS.2025.3605519

Zahra Arabi Narei;Henry Leung;Scott Miller;Jyoti Phirani

{"title":"PixTransNet: A Sensor-Aware CNN–Transformer Model for Magnetic Flux Leakage Defect Segmentation","authors":"Zahra Arabi Narei;Henry Leung;Scott Miller;Jyoti Phirani","doi":"10.1109/LSENS.2025.3605519","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3605519","url":null,"abstract":"Magnetic flux leakage (MFL) is a widely used nondestructive evaluation technique for pipeline inspection. However, its signals are highly sensitive to noise and geometric distortions, causing small defects with limited spatial coverage and subtle defects with low-contrast patterns to be embedded in noise, resulting in indistinct boundaries and irregular shapes that complicate segmentation. To address these challenges, we propose PixTransNet, a hybrid convolutional neural network (CNN)–Transformer model built on a UNet encoder–decoder architecture with a ResNet18 backbone, designed to improve the segmentation and boundary localization of small and subtle defects in MFL signals. We embed pixel-aware transformer blocks into the deeper encoder stages to capture long-range dependencies and enhance the modeling of subtle and fragmented defect patterns. To further enhance the interpretation of MFL signals, we introduce a cross-attention module that selectively emphasizes signal regions with strong structural relevance, leading to more continuous and accurate defect boundaries, particularly for small defects. Extensive experiments on a large-scale dataset of 33 000 MFL images demonstrate that PixTransNet achieves notable improvements in segmentation quality, particularly in detecting small, weak, and low-contrast defects compared to existing baselines. PixTransNet achieves 48.30% intersection over union, representing a 1.97% improvement, and 70.73% recall, representing a 13.06% improvement over the best-performing baseline.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 10","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210061","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}

引用次数: 0

Temperature Drift Modeling and Compensation of a Quartz Differential Resonant Accelerometer Based on a Bi-LSTM Network 基于Bi-LSTM网络的石英差分谐振加速度计温度漂移建模与补偿

IF 2.2

IEEE Sensors Letters Pub Date : 2025-09-02 DOI: 10.1109/LSENS.2025.3605214

Hong Xue;Jiabin Ai;Yuhang Zhang;Cun Li;Yulong Zhao

{"title":"Temperature Drift Modeling and Compensation of a Quartz Differential Resonant Accelerometer Based on a Bi-LSTM Network","authors":"Hong Xue;Jiabin Ai;Yuhang Zhang;Cun Li;Yulong Zhao","doi":"10.1109/LSENS.2025.3605214","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3605214","url":null,"abstract":"Thermal stability constitutes a critical performance characterization for accelerometers, particularly in high-precision applications such as autonomous navigation systems, satellite orbital control, and IMU-integrated platforms. Quartz resonant accelerometers have been paid more attention due to their exceptional stability and repeatability, while their operational precision remains vulnerable to ambient temperature fluctuations. This study theoretically and experimentally models the frequency–temperature characteristic of a quartz differential resonant accelerometer under varying temperatures based on a standard test procedure. Then, the bidirectional long short-term memory (Bi-LSTM) network is used to model and compensate for the temperature drift of the accelerometer. In addition, several compensation methods are compared, such as variable coefficients regression (VCR) and support vector machine (SVM). Results suggest that the temperature repeatability compensated by Bi-LSTM is improved by more than 70% in environments with a temperature ramp rate, and the compensation effect of Bi-LSTM is better than that of VCR and SVM methods.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 10","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060962","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}

引用次数: 0

Applying Machine Learning to a 1-D CMOS-MEMS Anemometer for Angle Detection and Range Extension 将机器学习应用于1维CMOS-MEMS风速计的角度检测和范围扩展

IF 2.2

IEEE Sensors Letters Pub Date : 2025-09-01 DOI: 10.1109/LSENS.2025.3605012

Lars Holm;Thomas L. Hackett;Jurriaan Schmitz;Remco J. Wiegerink;Joost C. Lötters;Dennis Alveringh

{"title":"Applying Machine Learning to a 1-D CMOS-MEMS Anemometer for Angle Detection and Range Extension","authors":"Lars Holm;Thomas L. Hackett;Jurriaan Schmitz;Remco J. Wiegerink;Joost C. Lötters;Dennis Alveringh","doi":"10.1109/LSENS.2025.3605012","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3605012","url":null,"abstract":"Through machine learning (ML), the measurement range of a 1-D CMOS-MEMS anemometer has been extended by a factor of 8.3, while enabling 360<inline-formula><tex-math>$^{circ }$</tex-math></inline-formula> directional measurement. Without the use of ML, the angle of attack of the flow was inseparable from the wind speed using the sensor output due to its dependence on both parameters simultaneously. Random forest and gradient boosting ML algorithms have been evaluated for their performance. The random forest regression performed best in all tests, extending the sensor's measurement range from <bold>1.2</b> to <inline-formula><tex-math>${mathbf{10}}$</tex-math></inline-formula> m/s for all directions, with a <inline-formula><tex-math>${mathbf{3.9}}$</tex-math></inline-formula>% full-scale error for speed and <inline-formula><tex-math>${mathbf{5}}$</tex-math></inline-formula>% for direction. Gradient boosting performed slightly worse (<inline-formula><tex-math>${mathbf{4.3}}$</tex-math></inline-formula>% and <inline-formula><tex-math>${mathbf{6.6}}$</tex-math></inline-formula>%) but did have much smaller model sizes (<<inline-formula><tex-math>${mathbf{1}}$</tex-math></inline-formula>%). A Shapley additive explanation analysis was performed to determine the impact of different sensor outputs on the ML prediction, giving key insights into ways to improve sensor designs. Despite the implicit symmetry of a 1-D sensor's output for positive and negative wind angles, the ML models can extract small (hidden) features from the data, which contain information on the direction. The 1-D configuration in combination with ML allows for a state-of-the-art accuracy in both speed and direction, with a significantly smaller sensor footprint (0.245 mm<inline-formula><tex-math>$^{2}$</tex-math></inline-formula>).","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 10","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11146510","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distribution of the Clamped Boundary and Its Impact on Resonator Performance 箝位边界分布及其对谐振器性能的影响

IF 2.2

IEEE Sensors Letters Pub Date : 2025-08-29 DOI: 10.1109/LSENS.2025.3604247

Haleh Nazemi;Yumna Birjis;Pavithra Munirathinam;Mohd Farhan Arshi;Arezoo Emadi

{"title":"Distribution of the Clamped Boundary and Its Impact on Resonator Performance","authors":"Haleh Nazemi;Yumna Birjis;Pavithra Munirathinam;Mohd Farhan Arshi;Arezoo Emadi","doi":"10.1109/LSENS.2025.3604247","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3604247","url":null,"abstract":"Capacitive resonator performance, including sensitivity, is determined by its capacitive change and resonant frequency shift in response to an external perturbation, such as added mass. Conventional designs are inherently defined by fully clamped boundaries around the deflectable plate. However, recent advances suggest that bilateral and quadrilateral concentric boundary resonators can offer improved performance through enhanced deflection compared to conventional fully clamped resonators. This letter analyzes how the spatial distribution of clamped boundaries under identical total clamped angles affects key resonator metrics, including sensitivity, which is manifested through a change in capacitance and frequency shift in electrical characterization. Resonators with bilateral and quadrilateral clamped boundary configurations are the focus of this letter to demonstrate the idea. In order to do this, resonators with total clamped angles of 120°, 180°, and 240° are fabricated and characterized using electrical impedance analysis, with results in agreement with the conducted finite element analysis. The quadrilateral configurations outperformed bilateral ones in both frequency shift and capacitance change, indicating that the clamped boundary distribution serves as a critical design parameter. These findings offer new insight into structural optimization strategies for capacitive resonators beyond conventional clamping schemes.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 10","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073363","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}

引用次数: 0

Metric-Based Security Profile Selection in Virtualized IoT Sensor Networks 虚拟物联网传感器网络中基于度量的安全配置文件选择

IF 2.2

IEEE Sensors Letters Pub Date : 2025-08-29 DOI: 10.1109/LSENS.2025.3603947

Anastassia Gharib;Ehab AlObaidi;Hala Mohammad;Mohammad AlSarabi

引用次数: 0

Novel Microwave Sensor for Quality Assurance of Indoor Residual Spraying 用于室内残留喷涂质量保证的新型微波传感器

IF 2.2

IEEE Sensors Letters Pub Date : 2025-08-28 DOI: 10.1109/LSENS.2025.3599278

Patryk Kot;Magomed Muradov;Andy Shaw;Ghulam Mohi-Ud-Din;Vijayakumar Karunamoothei;Rinki Deb;Asgar Ali;Sadhana Sharma;Prabhas Kumar Mishra;Bikas Sinhad;Rudra Pratap Singh;Janet Hemingway;Michael Coleman

{"title":"Novel Microwave Sensor for Quality Assurance of Indoor Residual Spraying","authors":"Patryk Kot;Magomed Muradov;Andy Shaw;Ghulam Mohi-Ud-Din;Vijayakumar Karunamoothei;Rinki Deb;Asgar Ali;Sadhana Sharma;Prabhas Kumar Mishra;Bikas Sinhad;Rudra Pratap Singh;Janet Hemingway;Michael Coleman","doi":"10.1109/LSENS.2025.3599278","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3599278","url":null,"abstract":"Vector-borne diseases, such as visceral leishmaniasis or malaria, are a significant global burden, particularly in low- and middle-income countries in regions with high parasite prevalence. Indoor residual spraying is one of the most effective control tools, if performed effectively. Current World Health Organization (WHO)-recommended quality assurance methods are costly, require skilled staff, and are time consuming. This letter presents the development of a novel microwave sensor for quality assurance of indoor residual spraying. The developed prototype was tested in controlled laboratory settings, and during two field studies conducted during dry and wet seasons in Bihar, India. The results demonstrated the potential of a rapid, nondestructive microwave sensor system for detecting alpha-cypermethrin residues, offering an improvement over current quality assurance methods. The sensor achieved high cross-validation accuracy in controlled laboratory settings (mean 100%, standard deviation 0%), while the performance in the field studies was reduced (mean 84.63%, standard deviation 1.98%) due to real-world complexities. Future development steps will include the miniaturization of the sensor system and the implementation of advanced signal processing techniques to reduce noise and compensate for environmental effects.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 9","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11143152","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144914183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Wake-Up Receiver Sensitivity Beyond –68 dBm Without Additional Power Consumption 在不增加功耗的情况下，提高唤醒接收器灵敏度，超过- 68dbm

IF 2.2

IEEE Sensors Letters Pub Date : 2025-08-27 DOI: 10.1109/LSENS.2025.3603297

Robert Fromm;Robert Thiel;Olfa Kanoun;Faouzi Derbel

引用次数: 0

A Method for Expanding the Bandwidth and Decreasing the Actuation Voltage of CMUT Devices 一种扩展带宽和降低CMUT器件驱动电压的方法

IF 2.2

IEEE Sensors Letters Pub Date : 2025-08-26 DOI: 10.1109/LSENS.2025.3603120

Chirag Goel;Mathieu Gratuze;Alexandre Robichaud;Ricardo Izquierdo;Paul-Vahé Cicek

{"title":"A Method for Expanding the Bandwidth and Decreasing the Actuation Voltage of CMUT Devices","authors":"Chirag Goel;Mathieu Gratuze;Alexandre Robichaud;Ricardo Izquierdo;Paul-Vahé Cicek","doi":"10.1109/LSENS.2025.3603120","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3603120","url":null,"abstract":"This letter presents a novel capacitive micromachined ultrasonic transducer (CMUT) fabricated with the MEMSCAP PolyMUMPs process and incorporating two new design elements: spring arms and rocker stems. The structure enables low <inline-formula><tex-math>$Q$</tex-math></inline-formula>-factor, broadband operation in a commercial surface micromachining technology, making it suitable for air-coupled applications. The device operates at a bias voltage as low as <inline-formula><tex-math>$26 ,mathrm{V}$</tex-math></inline-formula>, which is advantageous for portable systems. Electrical characterization demonstrates a <inline-formula><tex-math>$6.5times$</tex-math></inline-formula> reduction in bias voltage compared with traditional designs. Four CMUTs were fabricated to isolate and assess the influence of each design element. The frequency spectra showed that the device with the novel design features had the broadest bandwidth (a <inline-formula><tex-math>$Q$</tex-math></inline-formula>-factor of approximately 1.2 compared to approximately 34 for the traditional design). These results highlight the potential of the proposed CMUT architecture for high axial resolution pulse–echo systems.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 10","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073386","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}

引用次数: 0