ieeexplore最新文献_第7页

Bulletin Board: Call for Nominations: 2025 IEEE Eric O. Forster Distinguished Service Award 公告板：征集提名：2025年IEEE Eric O. Forster杰出服务奖

IF 2.6 4区工程技术

IEEE Electrical Insulation Magazine Pub Date : 2024-12-12 DOI: 10.1109/MEI.2025.10794823

引用次数: 0

News From Japan: Development of Metal Welders with the World's Highest-Class Blue Laser 来自日本的消息：世界上最先进的蓝色激光金属焊机的发展

IF 2.6 4区工程技术

IEEE Electrical Insulation Magazine Pub Date : 2024-12-12 DOI: 10.1109/MEI.2025.10794978

Yoshimichi Ohki

引用次数: 0

LiDAR Sensing-Based Exponential Adaptive Cruise Control and Steering Assist for ADAS 基于激光雷达传感的ADAS指数自适应巡航控制和转向辅助

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-12-11 DOI: 10.1109/JSEN.2024.3512418

Abhishek Thakur;C. A. Rakshith Ram;Rajalakshmi Pachamuthu

{"title":"LiDAR Sensing-Based Exponential Adaptive Cruise Control and Steering Assist for ADAS","authors":"Abhishek Thakur;C. A. Rakshith Ram;Rajalakshmi Pachamuthu","doi":"10.1109/JSEN.2024.3512418","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3512418","url":null,"abstract":"Autonomous vehicles represent a groundbreaking advancement, prompting innovative solutions for safer, more efficient transportation. These self-driving vehicles rely on advanced driver assistance system (ADAS) features, which are essential for safe navigation through complex environments. Nevertheless, ensuring safety and smooth operation remains a formidable challenge, particularly when faced with obstacles and responsive steering. Although LiDAR serves as a comprehensive sensor for mapping, localization, and perception in autonomous navigation. Extensive research has been carried out on radar in the context of ADAS, but there is a need for more focus and exploration on LiDAR-based cruise control. Most cruise control systems primarily integrate hard-coded or linear speed variations or ignore the critical aspect of steering rotation. In this article, we propose a LiDAR-based novel exponential approach (e-ACCSA) for the adaptive Cruise control (ACC) and adaptive steering assist (ASA), as well as their integration along with the continuous gradual acceleration mechanism ensures smoother velocity transitions. The ACC module controls the vehicle’s speed based on the obstacles detected within the region of interest (ROI) by the LiDAR sensor. Simultaneously, the ASA module enhances steering control and adjusts the vehicle’s speed based on steering rotation. The integration of ACC and ASA ultimately ensures safe and seamless autonomous driving. Coupled with a gradual acceleration mechanism, ensures smoother velocity transitions. Our algorithm aligns with the safe velocity standards set by the National Highway Traffic Safety Administration (NHTSA) and National Association of City Transportation Officials (NACTO). The ADAS system is tested in real-time on an e-vehicle mounted with a LiDAR sensor. The code will be released at <uri>https://github.com/abhishekt711/LiDAR-ADAS-ACC-ASA</uri>.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 2","pages":"3597-3607"},"PeriodicalIF":4.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142976026","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

Analysis of Embroidered Strain Sensors in the Presence of Dynamic Forces 绣花应变传感器在动态力作用下的分析

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-12-11 DOI: 10.1109/JSEN.2024.3511457

J. Guillermo Colli Alfaro;Ana Luisa Trejos

{"title":"Analysis of Embroidered Strain Sensors in the Presence of Dynamic Forces","authors":"J. Guillermo Colli Alfaro;Ana Luisa Trejos","doi":"10.1109/JSEN.2024.3511457","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3511457","url":null,"abstract":"It is estimated that at least 66% of stroke survivors will present some condition that impair their ability to perform well during their activities of daily living. This is the reason why stroke survivors engage in rehabilitation therapies to improve their quality of life. To aid in their recovery process, robot-assisted technologies in the form of soft wearable devices have been proposed as a complementary method to traditional rehabilitation sessions. Within these soft devices, great attention has been placed on their sensing mechanisms. Among the different sensing modalities used to provide feedback to the soft wearable mechatronic device, force sensing stands out due to them being easier to integrate within the wearable system. However, one flaw with these sensors is that most of the times they are used as pressure sensors due to their nonstretchable characteristics. Therefore, in this study, a novel stretchable Kirigami-based force sensor is presented. This force sensor was created by embroidering a silver-plated conductive onto an elastic band (EB). To test the performance of the sensor in terms of sensitivity, linearity, hysteresis, and repeatability, three sensor samples were fabricated and stretched at a slow, medium, and high speed, while force data were being collected. After these tests, the sensor showed high repeatability, an average <inline-formula> <tex-math>${R} ^{{2}}$ </tex-math></inline-formula> of 0.9782, an average 10.27% hysteresis, and an average 0.03-V/N gauge factor. These results show that embroidered force sensors have the potential to be used to detect interaction forces within soft wearable robot-assisted therapies.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 2","pages":"2422-2431"},"PeriodicalIF":4.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142976147","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

Identification and Monitoring of Critical Slip Point for Flexible Finger Based on FBG 基于光纤光栅的柔性手指临界滑移点识别与监测

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-12-11 DOI: 10.1109/JSEN.2024.3507749

Qiulin Hou;Yanling Fu;Mingzhen Luo;Zhen Sun;Honggen Zhou;Guochao Li

{"title":"Identification and Monitoring of Critical Slip Point for Flexible Finger Based on FBG","authors":"Qiulin Hou;Yanling Fu;Mingzhen Luo;Zhen Sun;Honggen Zhou;Guochao Li","doi":"10.1109/JSEN.2024.3507749","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3507749","url":null,"abstract":"As an important performance indicator in perception, slip sensation determines the intelligence level of soft manipulators. Both excessive and insufficient forces can affect the quality of nondestructive grasping. There are few existing sensors with small volumes and the ability to predict slip. Fiber Bragg grating (FBG) is a flexible sensor with the advantages of small size, lightweight, and high sensitivity. This article proposes a slip criterion identifying the critical slip point of the flexible finger based on FBG. The equivalent model of the friction pair between the flexible finger and the rigid plane determines the criterion parameters. Besides, the relationships between the FBG wavelength and contact forces are obtained. The algorithm detecting the mutation point in the FBG signal can monitor and predict the critical slip point from rest to relative motion. The experimental results show that the predicted time is 0.8 s ahead of the critical slip point, which provides the adjustment time for the control system to prevent overall slip. This study offers new ideas for slip monitoring and prediction of objects and has broad application prospects in the nondestructive grasping of soft manipulators.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 1","pages":"1571-1578"},"PeriodicalIF":4.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918366","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

Reference Accelerometers Compensation Method for Calibrating the Odd-Quadratic Coefficient of PIGA in Centrifuge 参考加速度计补偿法校准离心机中PIGA奇二次系数

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-12-11 DOI: 10.1109/JSEN.2024.3510798

Liu Yikang;Ren Shunqing;Dong Xueming;Wang Minlin

引用次数: 0

A Semantic Trust Management Model for Wireless Sensor Networks 无线传感器网络的语义信任管理模型

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-12-11 DOI: 10.1109/JSEN.2024.3512519

Pranav Gangwani;Alexander Perez-Pons;Himanshu Upadhyay

{"title":"A Semantic Trust Management Model for Wireless Sensor Networks","authors":"Pranav Gangwani;Alexander Perez-Pons;Himanshu Upadhyay","doi":"10.1109/JSEN.2024.3512519","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3512519","url":null,"abstract":"In today’s era, wireless sensor networks (WSNs) are increasingly prevalent. However, ensuring reliable data delivery is challenging due to the unique characteristics and limited resources of sensor nodes. Malicious nodes can launch internal attacks by injecting false data, jeopardizing WSN integrity. As the Internet of Things (IoT) evolves, reliance on WSNs is expected to increase. A compromised sensor could undermine credibility and accessibility in the sensor layer. Numerous trust management frameworks in academic literature evaluate trust scores among sensors based on communication metrics such as packet forwarding, direct, and indirect communications. In addition, various data trust evaluation models and hybrid models have been proposed. However, these frameworks typically concentrate on assessing a singular type of trust, such as communication or data trust. Moreover, none of the data trust/hybrid models focus on sensor semantics and data correlations to assess the trust score of sensors in WSNs. In this research, we propose a novel semantic trust management (STM) framework for WSNs that integrates both communication and data trust evaluation. Our proposed approach leverages sensor semantics to construct a sensor semantic network, facilitating trust assessment among sensors. Moreover, we comprehensively assess communication and semantic data trust within our trust evaluation framework. Finally, we demonstrate the applicability of our STM framework in real-life WSN applications through a case study on environmental monitoring.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 2","pages":"3672-3681"},"PeriodicalIF":4.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142976095","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 Dynamic Fault Diagnosis Method for Gravitational Reference Sensor Based on Informer-RS 基于inform - rs的重力参考传感器动态故障诊断方法

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-12-11 DOI: 10.1109/JSEN.2024.3510739

Cheng Bi;Xiaokui Yue;Zhaohui Dang;Yibo Ding;Yonghe Zhang

{"title":"A Dynamic Fault Diagnosis Method for Gravitational Reference Sensor Based on Informer-RS","authors":"Cheng Bi;Xiaokui Yue;Zhaohui Dang;Yibo Ding;Yonghe Zhang","doi":"10.1109/JSEN.2024.3510739","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3510739","url":null,"abstract":"Gravitational reference sensor (GRS) used in the space gravitational wave detection mission may encounter intermittent failures characterized by random data jumps during its operation, potentially disrupting the overall mission progress. This article first analyzes the pose sensing principle of the GRS and provides the differential capacitance fault model. In response to this type of fault, a data-driven dynamic fault diagnosis approach based on a novel informer model is proposed. In this design, a random slice (RS) mechanism is introduced into the informer model to enhance the robustness, and an anomaly-correcting temporal prediction method is used to mitigate the influence of abnormal sequences in prediction. Then, considering the fault characteristics of the GRS, an improved isolation forest (IF) algorithm is proposed to calculate anomaly scores for detected sequences, and dynamic thresholds are established based on these scores for fault diagnosis. Finally, comparative experiments based on actual engineering data are conducted to verify the prediction performance of the method, and a series of simulation experiments based on Monte Carlo statistical analysis are conducted to evaluate the fault diagnosis capability of the proposed approach. The results indicate that the fault detection accuracy of this approach can reach 97.83%, and it outperforms some common approaches in terms of diagnostic performance and robustness.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 2","pages":"3982-3997"},"PeriodicalIF":4.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993356","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

Dual-Stream CNN-LSTM Architecture for Cuffless Blood Pressure Estimation From PPG and ECG Signals: A PulseDB Study 基于PPG和ECG信号的无袖带血压估计的双流CNN-LSTM架构：PulseDB研究

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-12-11 DOI: 10.1109/JSEN.2024.3512197

Mohd. Rizwan Shaikh;Mohamad Forouzanfar

{"title":"Dual-Stream CNN-LSTM Architecture for Cuffless Blood Pressure Estimation From PPG and ECG Signals: A PulseDB Study","authors":"Mohd. Rizwan Shaikh;Mohamad Forouzanfar","doi":"10.1109/JSEN.2024.3512197","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3512197","url":null,"abstract":"Accurate and noninvasive blood pressure (BP) monitoring is essential for managing cardiovascular health, yet traditional cuff-based methods are uncomfortable and unsuitable for continuous use. Existing cuffless BP estimation techniques face limitations such as limited feature extraction capabilities, which can result in lower performance, and validation on nonstandard or small datasets, which raises concerns about generalizability. To address these challenges, we propose a novel convolutional neural network (CNN)-long short-term memory (LSTM) architecture that independently processes photoplethysmogram (PPG) and electrocardiogram (ECG) signals through separate CNN layers, enhancing morphological feature extraction. These layers are followed by a multilayer Bi-LSTM network that captures long-term temporal dependencies, improving BP prediction accuracy. Unlike prior studies, we validate our method on the PulseDB dataset, the largest publicly available dataset for BP estimation, comprising cleaned PPG, ECG, and arterial BP (ABP) waveforms from the MIMIC-III and VitalDB databases. Evaluated on data from 3027 individuals using fivefold cross-validation, our model achieved a mean absolute error (MAE) of 5.16 mmHg for systolic BP (SBP) and 3.24 mmHg for diastolic BP (DBP), with consistent performance across various age groups and genders. These results surpassed American National Standards Institute (ANSI)/Association for the Advancement of Medical Instrumentation (AAMI) standards and achieved an “A” grade by British Hypertension Society (BHS) standards, demonstrating the potential of this approach to improve patient comfort and care in diverse clinical and home environments.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 2","pages":"4006-4014"},"PeriodicalIF":4.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993360","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

Polarization Insensitive Graphene Based Tunable Metasurface Terahertz Dual-Band Absorber 偏振不敏感石墨烯基可调谐超表面太赫兹双频吸收器

IF 2.1 4区工程技术

IEEE Transactions on Nanotechnology Pub Date : 2024-12-11 DOI: 10.1109/TNANO.2024.3515459

Niten Kumar Panda;Sraddhanjali Mohapatra;Sudhakar Sahu

引用次数: 0