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IEEE Electrical Insulation Magazine, a Publication of DEIS IEEE电气绝缘杂志，DEIS的出版物

IF 2.6 4区工程技术

IEEE Electrical Insulation Magazine Pub Date : 2025-06-03 DOI: 10.1109/MEI.2025.11023185

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Bulletin Board: Invitation to the IEEE EIC 2025 Conference 布告栏：IEEE EIC 2025会议邀请

IF 2.6 4区工程技术

IEEE Electrical Insulation Magazine Pub Date : 2025-06-03 DOI: 10.1109/MEI.2025.11023204

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From the Editor 来自编辑

IF 2.6 4区工程技术

IEEE Electrical Insulation Magazine Pub Date : 2025-06-03 DOI: 10.1109/MEI.2025.11023189

Tony Lujia Chen

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Bulletin Board: DEIS Monthly Webinars 公告栏：DEIS每月网络研讨会

IF 2.6 4区工程技术

IEEE Electrical Insulation Magazine Pub Date : 2025-06-03 DOI: 10.1109/MEI.2025.11023180

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A Multiclass Time-Series Signal Recognition Method Based on a Large Active Radar Jamming Database 基于大型有源雷达干扰数据库的多类时序信号识别方法

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-06-02 DOI: 10.1109/JSEN.2025.3561367

Xiaoying Feng;Xiaoyu Zhang;Kunpeng He;Panlong Tan;Yutong Tang

{"title":"A Multiclass Time-Series Signal Recognition Method Based on a Large Active Radar Jamming Database","authors":"Xiaoying Feng;Xiaoyu Zhang;Kunpeng He;Panlong Tan;Yutong Tang","doi":"10.1109/JSEN.2025.3561367","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561367","url":null,"abstract":"Active radar jamming recognition is a crucial technology in electronic countermeasures (ECMs). To tackle the challenge of intelligent recognition of complex radar jamming signals, we introduce the large-scale active radar jamming database (LARJD). This comprehensive database includes 19 distinct types of jamming signals and contains a total of 66500 time-series samples across five radar frequency bands, providing a robust dataset for radar jamming signal recognition. In parallel, we propose the multiclass time-series signal recognition network (MTSS-2DCNN), a deep learning architecture designed for classifying multiple types of time-series signals, including radar jamming signals. The MTSS-2DCNN architecture comprises three 2-D convolutional neural networks (2DCNNs), which extract features from both the time- and frequency-domain representations of the time-series data. By using a 2-D network structure to process 1-D signals, MTSS-2DCNN captures high-dimensional features from sequential signals while preserving the inherent characteristics of the temporal data. The model’s generalization capability is further enhanced through K-fold cross-validation and an adaptive learning rate adjustment strategy. Experimental results demonstrate that the proposed method achieves an impressive accuracy of over 99.67% on the LARJD, with significantly shorter training times compared to existing approaches. Moreover, by pretraining radar jamming signal recognition models, ECM applications can substantially improve the efficiency of intelligent recognition systems in both engineering and military contexts.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"20051-20066"},"PeriodicalIF":4.3,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205905","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

IEEE Sensors Council IEEE传感器委员会

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-06-02 DOI: 10.1109/JSEN.2025.3571375

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An Intelligent 3D-AFM Scanning Process Based on Online Probe Rotation and Adaptive Speed Strategy 基于在线探针旋转和自适应速度策略的3D-AFM智能扫描过程

IF 2.1 4区工程技术

IEEE Transactions on Nanotechnology Pub Date : 2025-04-30 DOI: 10.1109/TNANO.2025.3565847

Huang-Chih Chen;Sheng-An Lee;Ting-An Chou;Li-Chen Fu

{"title":"An Intelligent 3D-AFM Scanning Process Based on Online Probe Rotation and Adaptive Speed Strategy","authors":"Huang-Chih Chen;Sheng-An Lee;Ting-An Chou;Li-Chen Fu","doi":"10.1109/TNANO.2025.3565847","DOIUrl":"https://doi.org/10.1109/TNANO.2025.3565847","url":null,"abstract":"Atomic Force Microscope (AFM) has remained one of the most prominent morphology tools for examining the microscopic world. However, the 3D-AFM has several disadvantages. First, the physical AFM tip occupies space and may sometimes obstruct the scanning process, creating distorted results, especially for vertical sidewalls. Additionally, the traditional AFM scanning scheme results in sparser data density along steep surfaces. In this work, to alleviate distortion, the AFM probe is allowed to rotate. Moreover, the scanning speed along the fast axis in a scan line has to be adaptive according to terrain variation. Therefore, we aim to develop and implement an intelligent AFM scanning process assisted by the proposed probe rotation decision (PRD) and adaptive speed decision (ASD) modules, enabling the AFM probe to achieve online rotation and variable scan speed. Moreover, methods for online coarse compensation and offline fine compensation are also presented to accurately eliminate tip shifts caused by probe rotation. Finally, some comparison results will be provided to demonstrate the effectiveness of the proposed intelligent scanning process.","PeriodicalId":449,"journal":{"name":"IEEE Transactions on Nanotechnology","volume":"24 ","pages":"264-276"},"PeriodicalIF":2.1,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Age of Information in IoT Devices With Integrated Heterogeneous Sensors Under Slotted ALOHA 开槽ALOHA下集成异构传感器的物联网设备的信息时代

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-30 DOI: 10.1109/JSEN.2025.3563452

Show-Shiow Tzeng;Ying-Jen Lin;Sheng-Wei Wang

{"title":"Age of Information in IoT Devices With Integrated Heterogeneous Sensors Under Slotted ALOHA","authors":"Show-Shiow Tzeng;Ying-Jen Lin;Sheng-Wei Wang","doi":"10.1109/JSEN.2025.3563452","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3563452","url":null,"abstract":"Sensors deployed in environments transmit status update data using the slotted ALOHA for radio channel access. The age-of-information (AoI) metric, representing the time elapsed since the last data received by a destination (e.g., base station) was generated at a sender, quantifies data freshness, which is crucial in diverse Internet of Things (IoT). Recent advancements have integrated heterogeneous sensors into IoT devices, with each sensor potentially sensing and generating status updates with different probabilities, impacting both AoI and energy consumption levels. This creates a complex challenge in balancing tradeoffs among various sensors’ sensing probabilities, AoI constraints, and energy efficiency. Yet, the AoI impact of IoT devices equipped with heterogeneous sensors using slotted ALOHA remains largely unexplored. This study investigates the AoI performance of IoT devices equipped with heterogeneous sensors within a slotted ALOHA framework. We present three data generation and transmission schemes: multisensor device with independent sensing (MSDIS), multisensor device with simultaneous sensing (MSDSS), and multisensor device with probabilistic simultaneous sensing (MSDPSS). We analyze and prove that MSDSS and MSDPSS achieve a lower average AoI (AAoI) compared with other schemes. Furthermore, we show that AAoI solutions for systems with at least five sensors per type cannot be expressed in radical form. Hence, we further design a low-time-complexity procedure for MSDPSS to determine optimal data sensing and generation probabilities that meet diverse AAoI requirements of various sensors while minimizing energy consumption. Our analysis, validated by simulations, indicates that MSDPSS demonstrates superior energy efficiency while meeting the diverse AAoI requirements of various sensors.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"20842-20853"},"PeriodicalIF":4.3,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196616","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

FDSOI-Based Reconfigurable FETs: A Ferroelectric Approach 基于fdsoi的可重构场效应管：铁电方法

IF 2.1 4区工程技术

IEEE Transactions on Nanotechnology Pub Date : 2025-04-30 DOI: 10.1109/TNANO.2025.3565720

Donghyeok Lee;Suprem R. Das;Jiseok Kwon;Jiwon Chang

引用次数: 0

A Microwave Sensor System for the Unattended Control of Corrosion in Urban Metallic Infrastructures 城市金属基础设施腐蚀无人值守控制的微波传感器系统

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-30 DOI: 10.1109/JSEN.2025.3564003

Paris Vélez;Ferran Paredes;Pau Casacuberta;Xavier Canalias;Lijuan Su;Ferran Martín

{"title":"A Microwave Sensor System for the Unattended Control of Corrosion in Urban Metallic Infrastructures","authors":"Paris Vélez;Ferran Paredes;Pau Casacuberta;Xavier Canalias;Lijuan Su;Ferran Martín","doi":"10.1109/JSEN.2025.3564003","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3564003","url":null,"abstract":"This article presents a microwave sensor system (including the electromagnetic module and the associated electronics for signal generation and processing) useful for unattendedly monitoring the corrosion level in urban metallic infrastructures, particularly, streetlights and traffic lights. The electromagnetic module consists of a microstrip line loaded with a slot resonator, the sensitive element, transversely etched in the ground plane. To make the electromagnetic module conformal, a necessity for the intended application, the slot-loaded line has been implemented in a narrow (and hence flexible) low-loss microwave substrate. To adapt it to the circular shape of the metallic infrastructure, streetlights with different curvature shapes in the reported example cases, a conformal 3-D-printed piece of polylactic acid (PLA) has been fabricated. By sandwiching the electromagnetic module between such PLA piece and the surface of the streetlight subjected to corrosion control, perfect contact of it with the sensing element is achieved. The output variable of the sensor is the magnitude of the transmission coefficient of the slot-loaded line at a specific frequency (correlated with the level of corrosion of the surface) converted to a voltage by means of an envelope detector. The functionality of the proposed sensor is validated by means of a complete system, including the associated electronics.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"20455-20465"},"PeriodicalIF":4.3,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205860","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