ieeexplore最新文献_第10页

Evidence-Based Fusion for Low-Quality RGB-T Semantic Segmentation 基于证据的低质量RGB-T语义分割融合

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-06 DOI: 10.1109/JSEN.2025.3593962

Wenli Liang;Xiaolin Zhang;Yuanjian Yang;Caifeng Shan

{"title":"Evidence-Based Fusion for Low-Quality RGB-T Semantic Segmentation","authors":"Wenli Liang;Xiaolin Zhang;Yuanjian Yang;Caifeng Shan","doi":"10.1109/JSEN.2025.3593962","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3593962","url":null,"abstract":"In recent years, significant progress has been made in RGB-thermal (RGB-T) semantic segmentation. However, most methods assume optimal imaging conditions, overlooking real-world challenges, such as sensor noises, blur, extreme weather, or transmission errors. These factors can lead to inconsistent information across RGB and thermal modalities, degrading segmentation performance. To address this, we propose an evidence-based fusion network (EBFNet) to enhance segmentation accuracy for low-quality RGB-T inputs. Concretely, our approach tackles inconsistent modal information by introducing an evidence-based consistency loss (ECL), which quantifies and mitigates conflicts between modalities using a Dirichlet distribution to model decision reliability. Building on this, we design a discrepancy priority fusion module (DPFM). It fuses RGB and thermal features by prioritizing reliable ones using discrepancy maps. This enhances feature integration, boosting robustness for low-quality inputs. For evaluation, we construct low-quality versions of the MFNet and PST900 datasets by simulating real-world degradations. Extensive experiments on these datasets demonstrate that EBFNet outperforms state-of-the-art (SOTA) methods in low-quality RGB-T semantic segmentation.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 17","pages":"33409-33418"},"PeriodicalIF":4.3,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934417","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

Machine-Learning-Assisted Hybrid Sensor Approach for Low-Concentration Monitoring in Oil/Water Emulsions 基于机器学习辅助混合传感器的低浓度油/水乳剂监测

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-06 DOI: 10.1109/JSEN.2025.3594550

Jussara Soares Silva;Magno Barcelos Costa;Lucas D'Avila Dos Prazeres;João Paulo Lebarck Pizzaia;Arnaldo Leal-Junior

{"title":"Machine-Learning-Assisted Hybrid Sensor Approach for Low-Concentration Monitoring in Oil/Water Emulsions","authors":"Jussara Soares Silva;Magno Barcelos Costa;Lucas D'Avila Dos Prazeres;João Paulo Lebarck Pizzaia;Arnaldo Leal-Junior","doi":"10.1109/JSEN.2025.3594550","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3594550","url":null,"abstract":"The study of emulsions in the oil industry is essential due to their impact on oil recovery and production processes. Produced water containing oil and harmful compounds poses significant environmental risks, underscoring the need for effective monitoring and regulation. This study proposes a hybrid sensing method to measure low-concentration oil/water (O/W) emulsions with the combination of different sensing techniques including refractive index (RI), turbidity, and zeta potential, ensuring compliance with environmental standards. Techniques such as optical microscopy, refractometry, turbidimetry, zeta potential, and particle size analysis were applied to O/W systems (10–60 ppm). Turbidity measurements exhibited an exponential increase in particle count with concentration, demonstrating their effectiveness in monitoring low-concentration emulsions. In contrast, refractive index (RI) and zeta potential showed inconsistent trends, while particle size analysis revealed distinct distribution patterns at specific concentrations. Turbidimetry emerged as a reliable method for evaluating low-concentration O/W emulsions. Then, the sensor fusion approach is performed using the random forest (RF) regression algorithm in which a high accuracy is obtained with a root-mean-squared error (RMSE) of 0.2 ppm. The proposed hybrid sensor approach provides a practical solution with potential of field applications and low-cost solution for environmental monitoring in industrial applications.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 17","pages":"33901-33909"},"PeriodicalIF":4.3,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934475","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

Utilizing a Digital Model-Based Approach for RUL Prediction in an Intelligent Gearbox 基于数字模型的智能齿轮箱RUL预测方法

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-05 DOI: 10.1109/JSEN.2025.3592180

Li-Te Huang;Jen-Yuan Chang

{"title":"Utilizing a Digital Model-Based Approach for RUL Prediction in an Intelligent Gearbox","authors":"Li-Te Huang;Jen-Yuan Chang","doi":"10.1109/JSEN.2025.3592180","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3592180","url":null,"abstract":"Gears and bearings are critical components in rotating machinery, where their failure can result in substantial operational downtime and increased maintenance costs. This study proposes a novel digital model-based methodology for predicting the remaining useful life (RUL) of gears, offering a demonstration of real-time computational feasibility based on quantified runtime analysis as an alternative to conventional degradation tracking methods that are often time-consuming and experimentally demanding. The proposed framework incorporates high-fidelity gearbox simulations that account for essential design and operational parameters, including gear geometry, bearing configurations, lubrication conditions, housing stiffness, and boundary constraints. Simulations are conducted in compliance with ISO 281 and ISO 6336 standards to compute damage rates on a per-second basis under full-load operational scenarios, enabling the development of a comprehensive damage database while minimizing the need for physical testing. To facilitate real-time health monitoring, embedded sensor technologies compatible with Industry 4.0 are integrated into the gearbox, continuously acquiring data on torque, speed, temperature, and vibration. These sensor signals are processed and visualized through a LabVIEW-based interface, which provides real-time RUL estimation and load spectrum tracking. Validation through endurance testing demonstrates a strong correlation between root-mean-square (rms) vibration levels and gear degradation, supporting the effectiveness of the proposed approach. The results confirm the experimentally validated accuracy within the scope of this study, as well as the practicality of the methodology, establishing its potential as a reliable tool for predictive maintenance and structural health monitoring in intelligent gearbox systems.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 17","pages":"33878-33889"},"PeriodicalIF":4.3,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934452","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

TLTrust: A Flexible Trust Model Based on Transfer Learning for Underwater Wireless Sensor Networks 基于迁移学习的水下无线传感器网络柔性信任模型TLTrust

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-05 DOI: 10.1109/JSEN.2025.3591511

Zhenquan Qin;Weicheng Meng;Yuxin Cui;Bingxian Lu

{"title":"TLTrust: A Flexible Trust Model Based on Transfer Learning for Underwater Wireless Sensor Networks","authors":"Zhenquan Qin;Weicheng Meng;Yuxin Cui;Bingxian Lu","doi":"10.1109/JSEN.2025.3591511","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3591511","url":null,"abstract":"Recently, research on trust models for underwater wireless sensor networks (UWSNs) has been continuously deepening. However, most current trust models are trained using machine learning methods and require high costs for the purpose of gathering copious data. In addition, when faced with unknown attacks, these models are unable to detect new attacks in time. In order to solve these challenges, we propose a flexible trust model based on transfer learning, called TLTrust. TLTrust aims to update the model with a small amount of data, resist unknown attacks, and improve the flexibility of the model. TLTrust includes trust evidence collection and trust evaluation. In addition to interactive trust, data trust, and energy trust, we also use location trust to measure node mobility. The TLTrust model is based on transfer learning. It trained a trust model suitable for target attacks and updated trust values. The simulation results demonstrate that TLTrust has good performance in improving the accuracy of trust evaluation and dealing with unknown attacks. Under the experimental settings of different numbers of nodes, the average accuracy of TLTrust reaches 98.87%, 99.60%, and 99.61% under three different attacks. Compared with LTrust and STMS, the average improvement is about 10.44%, 6.06%, and 27.19%.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 18","pages":"35479-35489"},"PeriodicalIF":4.3,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073320","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

Frequency-Selective Characteristics of Plasma-Energy Selective Surface Structure in High-Power Microwave Protection 大功率微波防护中等离子体能量选择表面结构的频率选择特性

IF 1.5 4区物理与天体物理

IEEE Transactions on Plasma Science Pub Date : 2025-08-05 DOI: 10.1109/TPS.2025.3594738

Lixian Ma;Yusen Yang;Lin Wang

{"title":"Frequency-Selective Characteristics of Plasma-Energy Selective Surface Structure in High-Power Microwave Protection","authors":"Lixian Ma;Yusen Yang;Lin Wang","doi":"10.1109/TPS.2025.3594738","DOIUrl":"https://doi.org/10.1109/TPS.2025.3594738","url":null,"abstract":"This article proposes a novel dynamically tunable plasma-energy selective surface (Plasma-ESS) structure for protecting electronic and communication equipment from high-power microwave interference and damage. As a protective front-end, this structure utilizes the tunability of plasma to achieve efficient transmission and shielding effects for electromagnetic waves at different frequencies. Simulation results indicate that after passing through the Plasma-ESS structure, the electromagnetic waves exhibit minimal insertion loss (IL) at two frequency points, 5.52 and 16.71 GHz, with <inline-formula> <tex-math>$S_{21}$ </tex-math></inline-formula> values of 0.414 and 0.336 dB, respectively. In addition, the electromagnetic waves demonstrate an IL of less than 2 dB across an ultrawideband frequency range of 14.01–18.51 GHz, providing efficient transmission performance and frequency selectivity for devices with wide operating bandwidths. Since plasma is a novel electromagnetic shielding material capable of selectively absorbing or reflecting electromagnetic waves, the influence of plasma parameters on electromagnetic wave transmission or shielding based on the Drude model is discussed. The results reveal that plasma at different frequencies can achieve dynamic frequency point shifts, offering theoretical guidance for high-power electromagnetic protection applications across various frequencies.","PeriodicalId":450,"journal":{"name":"IEEE Transactions on Plasma Science","volume":"53 9","pages":"2241-2247"},"PeriodicalIF":1.5,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PDN-Net: Multisensor Prior-Guided Joint Learning for Depth and Normal Estimation PDN-Net：深度和正态估计的多传感器先验引导联合学习

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-05 DOI: 10.1109/JSEN.2025.3593934

Hong Zhang;Siyu Rui;Hanyang Liu;Ding Yuan;Yifan Yang

{"title":"PDN-Net: Multisensor Prior-Guided Joint Learning for Depth and Normal Estimation","authors":"Hong Zhang;Siyu Rui;Hanyang Liu;Ding Yuan;Yifan Yang","doi":"10.1109/JSEN.2025.3593934","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3593934","url":null,"abstract":"Depth and surface normal estimation are fundamental to 3-D scene understanding, providing global structure and local geometric details. However, current methods often struggle with sensor limitations, leading to noisy or incomplete data, and fail to account for the geometric relationship between depth and normals, resulting in inconsistent predictions. To address these challenges, we propose PDN-Net, a multisensor prior-guided joint learning framework that extracts geometric priors from sensor depth, RGB, and polarization cues, integrating them through a joint learning paradigm to optimize both depth and normal estimation simultaneously. We introduce a multisensor prior extraction mechanism that leverages physics-informed modeling to capture sensor characteristics and cross-modal relationships, enabling reliable geometric priors through semantic-guided depth completion and polarization-based normal inference. Building on these priors, we design a joint learning paradigm that facilitates structured feature interactions and enforces geometric consistency through a progressive feature interaction framework and geometry-based refinement. Experiments on the HAMMER dataset demonstrate that PDN-Net achieves state-of-the-art results in depth completion and normal estimation, particularly in challenging scenarios involving reflective and transparent surfaces, demonstrating the effectiveness of multisensor priors and geometry-consistent joint learning.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 17","pages":"33397-33408"},"PeriodicalIF":4.3,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934375","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

Simulation of Electron-Wave Processes in a Stagger-Tuned Millimeter-Wave Gyro-Twystron 交错调谐毫米波回旋回旋管中电子-波过程的模拟

IF 1.5 4区物理与天体物理

IEEE Transactions on Plasma Science Pub Date : 2025-08-05 DOI: 10.1109/TPS.2025.3593049

Vangalla Veera Babu;Shyam Gopal Yadav;Smrity Dwivedi;M. Thottappan

引用次数: 0

Design and Verification Study of HTPB Propellant Aging Safety Detection Sensor HTPB推进剂老化安全检测传感器的设计与验证研究

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-05 DOI: 10.1109/JSEN.2025.3593920

Xiaohong Gui;Jin Yan;Ning Li;Xingrui Zhan

{"title":"Design and Verification Study of HTPB Propellant Aging Safety Detection Sensor","authors":"Xiaohong Gui;Jin Yan;Ning Li;Xingrui Zhan","doi":"10.1109/JSEN.2025.3593920","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3593920","url":null,"abstract":"Aging detection of hydroxyl-terminated polybutadiene (HTPB) propellant in solid rocket motors is crucial for preventing launch accidents. To achieve nondestructive aging assessment of HTPB propellants, the design of dedicated sensors is essential. In this study, HTPB propellant was selected as the research object, and a three-point contact model under spherical indentation was established. The deflections of both cantilever straight beams and curved beams were derived and calculated using the deflection curve differential equation and the Karl Fischer theorem, respectively. Polydimethylsiloxane (PDMS) materials with different curing agent ratios, along with sensor components, were fabricated through wire electrical discharge machining and 3-D printing. The sensor’s performance was experimentally verified and analyzed. The results demonstrate that the proposed sensor can effectively measure modulus variations within the range of 0.5163–12.1150 MPa and can distinguish HTPB propellants with varying degrees of aging, thereby enabling nondestructive aging detection. This research expands the current methods for HTPB propellant aging assessment by enabling safety monitoring based on changes in modulus-related parameters, ultimately contributing to enhanced reliability of solid rocket motors and a reduction in launch accident risks.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 17","pages":"33692-33702"},"PeriodicalIF":4.3,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934408","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

Effect of Exchange–Correlation on Propagation of Surface Waves Excited by an Electron Beam on Quantum Plasma 交换相关对电子束在量子等离子体上激发表面波传播的影响

IF 1.5 4区物理与天体物理

IEEE Transactions on Plasma Science Pub Date : 2025-08-05 DOI: 10.1109/TPS.2025.3591714

Bahaa F. Mohamed;Nermen M. Elbasha;Amany M. Gouda

{"title":"Effect of Exchange–Correlation on Propagation of Surface Waves Excited by an Electron Beam on Quantum Plasma","authors":"Bahaa F. Mohamed;Nermen M. Elbasha;Amany M. Gouda","doi":"10.1109/TPS.2025.3591714","DOIUrl":"https://doi.org/10.1109/TPS.2025.3591714","url":null,"abstract":"Within a quantum hydrodynamic model in conjunction with Maxwell’s equations, the effects of electron exchange–correlation on the collective excitations of surface waves (SWs), due to the interaction of electron beam with quantum plasma, have been studied analytically as well as numerically. The dispersion properties of these waves under different influences of the exchange–correlation potential and the quantum effect on the semi-bounded plasma are discussed. Besides, a comparison of the decay of generated magnetic field of the SWs inside the classical and quantum plasma is investigated under those effects. It has been noticed that the effects of exchange–correlation make to decrease the amplitude of the magnetic fields and decay faster inside the plasma with the increase of these effects. Also, it is displayed that the amplitude of the generated fields decreases and decays faster with the increase of density ratio of electron beam–plasma. Significant frequency shift induced by the quantum and electron exchange–correlation effects could be noted. The effects of the electron exchange–correlation are strongly coupled with the quantum correction on the generated modes compared with classical plasma. It is noticed that the increase of exchange–correlation effects obviously modifies the characteristics of the modes, in two cases (low and high frequency), by downshifting their frequencies along the wavenumber axis.","PeriodicalId":450,"journal":{"name":"IEEE Transactions on Plasma Science","volume":"53 9","pages":"2204-2210"},"PeriodicalIF":1.5,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research Progress on Energy Dissipation Mechanisms in MEMS Resonators: A Review MEMS谐振腔能量耗散机制的研究进展

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-05 DOI: 10.1109/JSEN.2025.3593834

Yue Pan;Ping Sun;Qinghua Zhang;Yao Xiao;Hanwen Zhang;Minqiang Li

{"title":"Research Progress on Energy Dissipation Mechanisms in MEMS Resonators: A Review","authors":"Yue Pan;Ping Sun;Qinghua Zhang;Yao Xiao;Hanwen Zhang;Minqiang Li","doi":"10.1109/JSEN.2025.3593834","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3593834","url":null,"abstract":"Micro-electromechanical system (MEMS) resonators are foundational components in modern information technology, playing pivotal roles in inertial navigation, precision sensing, and frequency control applications. The performance of these resonators critically governs system-level stability and reliability, with energy dissipation representing the most significant limiting factor that directly impacts key performance metrics, including frequency stability and phase noise. This article presents a comprehensive review of energy dissipation mechanisms in MEMS resonators and recent progress in damping suppression techniques. We first elucidate the underlying physics of major dissipation mechanisms, including air damping, anchor loss, thermoelastic damping (TED), and Akhiezer damping, along with their theoretical models and generation principles. Subsequently, we critically examine state-of-the-art strategies for mitigating these damping effects. Finally, we discuss remaining challenges and future research directions. Our work provides both theoretical insights and practical methodologies for the design of low-loss MEMS resonators, offering valuable guidance for enhancing quality factors and optimizing dynamic performance in next-generation devices.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 18","pages":"34236-34251"},"PeriodicalIF":4.3,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073224","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