IEEE Sensors Journal最新文献_第10页

Highly Sensitive SAW-Based Magnetic Field Sensors With Suppressed Domain Wall Noise 具有抑制域壁噪声的高灵敏度锯片磁场传感器

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-24 DOI: 10.1109/JSEN.2025.3562238

Hao Wu;Wenbin Hu;Yutong Wu;Yana Jia;Wen Wang;Qinghui Yang;Feiming Bai

引用次数: 0

High Throughput Signal-Off-On Fluorescent Aptasensor for Pb2+ Detection Based on Fluorescence Resonance Energy Transfer Between Graphite-Phase Carbon Nitride Nanosheets and Gold Nanoparticles 基于石墨相氮化碳纳米片与金纳米颗粒之间荧光共振能量转移的高通量信号开关荧光适体传感器检测Pb2+

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-24 DOI: 10.1109/JSEN.2025.3562314

Lulu Jia;Yanan Liu;Lina Zou;Huanyu Ren;Zheng Li;Huiru Niu;Hao Liao;Xiaojing Zhang;Shanshan An;Fei Ren;Xiuhong Ge;Lang Cheng;Feiyan Yang;Hongzhi Pan;Shengzhong Rong;Hongkun Ma

{"title":"High Throughput Signal-Off-On Fluorescent Aptasensor for Pb2+ Detection Based on Fluorescence Resonance Energy Transfer Between Graphite-Phase Carbon Nitride Nanosheets and Gold Nanoparticles","authors":"Lulu Jia;Yanan Liu;Lina Zou;Huanyu Ren;Zheng Li;Huiru Niu;Hao Liao;Xiaojing Zhang;Shanshan An;Fei Ren;Xiuhong Ge;Lang Cheng;Feiyan Yang;Hongzhi Pan;Shengzhong Rong;Hongkun Ma","doi":"10.1109/JSEN.2025.3562314","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3562314","url":null,"abstract":"Heavy metal Pb2+ is widely distributed in several environmental media, and exposure to Pb2+ through various channels can seriously endanger the health of residents. Therefore, it is very important to detect Pb2+ in high throughput, accurately and specifically. Fluorescent sensors have obvious advantages in heavy metal detection. In comparison with the bulk phase, graphite-phase carbon nitride nanosheets (g-CNNs) of atomic thickness and nanometer size can conspicuously improve the quantum yield and water solubility. The aptamer offers the benefits of exceptional specificity, robust stability, minimal toxicity, cost-effectiveness, straightforward synthesis and modification, and absence of immunogenicity. In this study, an high throughput signal-off-on fluorescent aptasensor was designed for detecting Pb2+ on the basis of fluorescence resonance energy transfer (FRET) mechanism between gold nanoparticles (AuNPs) and g-CNNs. Under the optimum experimental conditions, a linear correlation was established between (F-F0)/F0 and Pb2+ concentration within the range of 0–<inline-formula> <tex-math>$1000~mu $ </tex-math></inline-formula>g/mL. The linear equation was (F-F0)/<inline-formula> <tex-math>$F_{{0}}=0.0002$ </tex-math></inline-formula>C +0.0278, with an <inline-formula> <tex-math>${R} ^{{2}}$ </tex-math></inline-formula> value of 0.9744 and the detection limit was <inline-formula> <tex-math>$0.8~mu $ </tex-math></inline-formula>g/mL. The proposed fluorescent aptasensor had strong anti-interference ability, high sensitivity, and good reproducibility, and the recoveries of spiked samples were between 90.32% and 103.99%. The detection results of Pb2+ in actual samples confirmed that this fluorescent aptasensor had good application potential.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"20658-20665"},"PeriodicalIF":4.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205986","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}

引用次数: 0

An Unconfined Monocular Stereo-PIV Measurement Method for Gas-Liquid Pipe Flow 气液管道流动的无约束单目立体piv测量方法

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-24 DOI: 10.1109/JSEN.2025.3562149

Haixia Wang;Ting Xue

{"title":"An Unconfined Monocular Stereo-PIV Measurement Method for Gas-Liquid Pipe Flow","authors":"Haixia Wang;Ting Xue","doi":"10.1109/JSEN.2025.3562149","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3562149","url":null,"abstract":"Stereo-particle image velocimetry (PIV) encounters intricate challenges in flow measurement, especially accurate target localization and synchronized control of dual cameras. To overcome these obstacles, a comprehensive study delves into gas-liquid two-phase flow utilizing a monocular Stereo-PIV system. To reduce the need for high-precision target localization, a method is proposed that integrates particle features for corner extraction and spatial consistency for precise matching by pyramid up-down sampling. The approach effectively mitigates scale variance-induced mismatches and facilitates accurate spatial plane reconstruction. Validation is conducted utilizing particle simulation to assess the accuracy of feature extraction and matching and their impact on spatial plane reconstruction. Furthermore, optical distortion calibration results derived from gas-liquid two-phase flow are compared with experimental data to investigate the accuracy of real plane reconstruction. The accuracy of 3-D velocities is evaluated across planes with various errors. Finally, 3-D velocity profiles are characterized within slug flow structures, thereby offering insights into velocity variation characteristics.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"20104-20112"},"PeriodicalIF":4.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144206149","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}

引用次数: 0

Adaptive Scheduling With Cell Borrowing for 6TiSCH Networks 基于小区借用的6TiSCH网络自适应调度

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-24 DOI: 10.1109/JSEN.2025.3562210

Heejun Lee;Sang-Hwa Chung;Jong-Deok Kim

{"title":"Adaptive Scheduling With Cell Borrowing for 6TiSCH Networks","authors":"Heejun Lee;Sang-Hwa Chung;Jong-Deok Kim","doi":"10.1109/JSEN.2025.3562210","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3562210","url":null,"abstract":"Low-power wireless networks are a key technology in industrial IoT (IIoT), where the rapid increase in connected devices necessitates solutions to enhance maximum traffic throughput. IPv6 over the time-slotted channel hopping (TSCH) mode of IEEE 802.15.4e (6TiSCH) networks, based on the IEEE 802.15.4 time-slotted channel hopping (TSCH) MAC mode, provides high reliability and energy efficiency. However, the default scheduling function (SF) in 6TiSCH, the minimal SF (MSF), suffers from overprovisioning issues, leading to inefficient timeslot utilization and traffic throughput limitations in high-density, high-traffic network environments. To address these challenges, we propose adaptive scheduling with cell borrowing for improving traffic throughput in dense 6TiSCH networks (ASCBT). ASCBT introduces three mechanisms that allow sibling nodes to borrow and utilize overprovisioned cells, reducing timeslot resource waste and improving the network’s maximum traffic throughput. Additionally, it effectively adapts to fluctuating traffic conditions. Performance evaluations in high-traffic scenarios show that ASCBT achieves up to 20.2% higher packet delivery ratio (PDR) and 23.8% lower end-to-end latency compared to MSF under constant-rate and burst traffic scenarios. These results indicate that ASCBT effectively enhances traffic handling capacity and network stability in large-scale TSCH-based IIoT networks.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"20813-20828"},"PeriodicalIF":4.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196550","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}

引用次数: 0

Radio Frequency Characterization of Gold Nanoparticles With 3-D Printed U-Cavity Sensor 三维打印u腔传感器对金纳米颗粒射频特性的研究

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-24 DOI: 10.1109/JSEN.2025.3562418

Bibek Kattel;Priyavrat Vashisth;Azeemuddin Syed;Winn Elliott Hutchcraft;Eden E. L. Tanner

{"title":"Radio Frequency Characterization of Gold Nanoparticles With 3-D Printed U-Cavity Sensor","authors":"Bibek Kattel;Priyavrat Vashisth;Azeemuddin Syed;Winn Elliott Hutchcraft;Eden E. L. Tanner","doi":"10.1109/JSEN.2025.3562418","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3562418","url":null,"abstract":"This article presents a novel radio frequency characterization of gold nanoparticles (AuNPs) based on their geometric shapes with a 3-D printed U-cavity sensor. Traditional methods for nanoparticle characterization, such as spectroscopy and scanning electron microscopy, are costly, time-consuming, and require specialized equipment. In contrast, the fabricated U-cavity sensor offers a rapid and cost-effective method for discerning nanoparticles based on their morphology. The sensor features an embedded U-cavity within its substrate, designed to contain the test liquid. To streamline the fabrication process, the substrate with the embedded U-cavity was fabricated in a single step using an additive manufacturing process. The various distinctly shaped nanoparticles were injected into the cavity, and return loss measurements were performed. The study’s findings revealed that distinct AuNP shapes induced unique spectral signatures, enabling accurate characterization based on their geometric shapes. The variation in the resonance characteristics of the sensor resulting from the presence of AuNPs is termed effective shift throughout the article. As the geometric symmetry of the nanoparticles increased from cylindrical to quasi-spherical to spherical, a more pronounced effective shift was observed. This novel U-cavity microfluidic sensor demonstrates cost-effectiveness, ease of fabrication, and rapid characterization, highlighting the potential for nanoparticle characterization using radio frequency methods.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 12","pages":"21067-21075"},"PeriodicalIF":4.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308560","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}

引用次数: 0

A Bayesian-Genetic Hybrid Method for Frequency Diverse Array Transmit Beampattern Optimization 分频阵列发射波束方向图优化的贝叶斯-遗传混合方法

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-24 DOI: 10.1109/JSEN.2025.3558475

Ahmad Bilal;Yash H. Shah;Abdul Hadee;Sohom Bhattacharjee;Choon Sik Cho

引用次数: 0

Efficient 3-D Tracking and Detection of Multirotor UAVs Using mmWave Radar With Semi-Supervised Learning 基于半监督学习毫米波雷达的多旋翼无人机高效三维跟踪与检测

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-24 DOI: 10.1109/JSEN.2025.3562322

Rui Xi;Wenjie Wei;Malu Zhang

{"title":"Efficient 3-D Tracking and Detection of Multirotor UAVs Using mmWave Radar With Semi-Supervised Learning","authors":"Rui Xi;Wenjie Wei;Malu Zhang","doi":"10.1109/JSEN.2025.3562322","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3562322","url":null,"abstract":"Small uncrewed aerial vehicles (UAVs) pose security risks to sensitive areas and individuals due to their rapid movement and wide coverage capabilities. Effective monitoring necessitates the deployment of lightweight and energy-efficient surveillance systems. This research introduces an efficient 3-D tracking and detection approach for small UAVs, using millimeter-wave (mmWave) radars and spiking neural networks (SNNs). By capturing micro-Doppler characteristics of UAV movements, it effectively processes low signal-to-noise ratios (SNRs) and uncertain signals. An improved angle estimation algorithm, combining dynamic programming and particle filters, enables real-time 3-D UAV tracking with reduced computational complexity. Then, a simple UAV detection model based on SNN architecture is developed by leveraging UAVs’ position and corresponding Doppler information. Furthermore, a bioinspired semi-supervised method is proposed to facilitate the training of SNNs using a limited number of annotated samples. The effectiveness of the proposed methodology is evaluated under various environmental conditions. Results indicate a significant improvement in tracking computation time efficiency, with the recognition model size reduced to one-tenth of its original size, yet it maintains near-original system performance.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 12","pages":"22001-22014"},"PeriodicalIF":4.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299314","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}

引用次数: 0

An Accurate Radio Environment Map Reconstruction Method 一种精确的无线电环境图重建方法

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-24 DOI: 10.1109/JSEN.2025.3562214

Yazhou Sun;Longhui Wang;Jian Wang

{"title":"An Accurate Radio Environment Map Reconstruction Method","authors":"Yazhou Sun;Longhui Wang;Jian Wang","doi":"10.1109/JSEN.2025.3562214","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3562214","url":null,"abstract":"Radio environment map (REM) provides valuable information about radio characteristics in a geographical area and is widely used in spectrum sensing and communications. REM reconstruction can be modeled as a sparse recovery problem, exploiting spatial sparsity to estimate the parameters of transmitters. However, most existing sparse recovery methods assume that all transmitters are precisely located on predefined discrete grids. Due to the off-grid effect, these methods suffer from estimation bias, which limits the accuracy of REM reconstruction. To mitigate the off-grid effect, an accurate REM (AREM) reconstruction method is proposed. The proposed method is based on the idea of alternating iterative updates. In an iteration, a rough estimation is first obtained based on the correlation with the residual signal and added to the feasible solution set. Then, alternating updates are performed to improve the rough estimation in continuous space through local refinement. Next, pruning is applied to maintain the sparsity of feasible solution set. Finally, the residual signal is updated based on the feasible solution set. The simulation and experimental results demonstrate that the proposed method mitigates the off-grid effect more effectively, achieves higher reconstruction accuracy, and exhibits greater robustness to noise interference than existing methods.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 12","pages":"21988-22000"},"PeriodicalIF":4.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299130","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}

引用次数: 0

Human Activity Detection Based on Parallel AB-TCN Using Micro-Doppler Signatures 基于微多普勒特征并行AB-TCN的人体活动检测

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-24 DOI: 10.1109/JSEN.2025.3562260

Didi Xu;Weihua Yu;Yufeng Wang;Mengjun Chen;Yaze Cui

引用次数: 0

Near-Field Semiconductor Imaging and Classification Enabled by Signal Cancellation Using Truncated mm-Wave Silicon Waveguide 截断毫米波硅波导信号对消实现近场半导体成像与分类

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-24 DOI: 10.1109/JSEN.2025.3562280

Yuma Kawamoto;Daniel C. Gallego;Alejandro Rivera-Lavado;Tadao Nagatsuma;Michael Nagel;Daniel Headland;Guillermo Carpintero

{"title":"Near-Field Semiconductor Imaging and Classification Enabled by Signal Cancellation Using Truncated mm-Wave Silicon Waveguide","authors":"Yuma Kawamoto;Daniel C. Gallego;Alejandro Rivera-Lavado;Tadao Nagatsuma;Michael Nagel;Daniel Headland;Guillermo Carpintero","doi":"10.1109/JSEN.2025.3562280","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3562280","url":null,"abstract":"We demonstrate that a straightforward truncated silicon dielectric waveguide serves as an effective millimeter-wave (mm-wave) near-field semiconductor imaging sensor. The strong localization of modal fields at the truncated silicon tip interface results in fine resolution below the diffraction limit. It is found that, at a specific probing distance, high conductance of a metallized sample exhibits lower reflection than bare silicon substrate due to the signal cancellation with the reflection generated from the significant mismatch at the truncated interface. We experimentally validate that this cancellation effect is dependent upon conductivity and it allows us to differentiate multiple levels of conductivity. With this technique, we achieve the resolution of ~1/<inline-formula> <tex-math>$3~lambda _{{0}}$ </tex-math></inline-formula> and a high image contrast of ~20 dB between conductors and the bare silicon substrate. In addition, a cancellation effect is employed that allows for accurate calibration of working distance, providing stable responses across the scanning area. We demonstrate how this effect can be exploited for high-accuracy material classification with broadband spectral correlation analysis enabled by the silicon sensor. The proposed method can be easily incorporated with integrated all-silicon circuits, showing promise for cost-effective, compact imaging modules, which is highly beneficial for real-world deployment in the industry.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"20648-20657"},"PeriodicalIF":4.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10976487","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205908","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}

引用次数: 0