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A Category-Scalable Framework Using Millimeter-Wave Radar for Spectrogram Generation and Gesture Recognition 利用毫米波雷达进行谱图生成和手势识别的可分类框架

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-10-09 DOI: 10.1109/JSEN.2024.3472065

Tingpei Huang;Haotian Wang;Rongyu Gao;Jianhang Liu;Shibao Li

{"title":"A Category-Scalable Framework Using Millimeter-Wave Radar for Spectrogram Generation and Gesture Recognition","authors":"Tingpei Huang;Haotian Wang;Rongyu Gao;Jianhang Liu;Shibao Li","doi":"10.1109/JSEN.2024.3472065","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3472065","url":null,"abstract":"In gesture recognition based on millimeter-wave radar, generating spectrograms is typically independent of the actual application and designed separately. In this case, the task is simply decoupled, resulting in the generated spectrograms from radar signals not being optimally suited for the recognition task. Additionally, the emergence of gesture categories representing new semantics requires the recollection of a large amount of high-quality labeled data and retraining of the model. To address these problems, we propose a radar-based category-scalable gesture recognition framework, R-CSGR, for gesture spectrogram generation and two-stage gesture recognition. Considering the noise and environmental factors, only gesture-related signals are extracted and aggregated in the Doppler and angle dimensions to form a location-independent, information-dense gesture spectrogram for the two-stage recognition. In the first stage, the reconstruction of spectrogram for the original categories is used as a self-supervised learning task to utilize low-cost unlabeled data. In the second stage, the classification layer based on the cosine nearest-centroid method is used to quickly recognize new gesture categories whereas maintaining the recognition capability of the original categories. The result shows that with the introduction of five new gesture categories and only eight shots per category in the support set, an average recognition accuracy of 96.88% is achieved for all nine gesture categories.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 22","pages":"38479-38491"},"PeriodicalIF":4.3,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645523","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

Real-Time Digital Baseline Restoration for CCD Sensors With Implementation in FPGA 用 FPGA 实现 CCD 传感器的实时数字基线恢复

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-10-09 DOI: 10.1109/JSEN.2024.3472891

Qi Feng;Hongfei Zhang;Cheng Chen;Hui Wang;Jian Wang

引用次数: 0

Terrain Classification Based on Spatiotemporal Multihead Attention With Flexible Tactile Sensors Array 基于灵活触觉传感器阵列的时空多头注意力进行地形分类

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-10-09 DOI: 10.1109/JSEN.2024.3472789

Tong Li;Chengshun Yu;Yuhang Yan;Xudong Zheng;Minghui Yin;Gang Chen;Yifan Wang;Jing An;Qizheng Feng;Ning Xue

{"title":"Terrain Classification Based on Spatiotemporal Multihead Attention With Flexible Tactile Sensors Array","authors":"Tong Li;Chengshun Yu;Yuhang Yan;Xudong Zheng;Minghui Yin;Gang Chen;Yifan Wang;Jing An;Qizheng Feng;Ning Xue","doi":"10.1109/JSEN.2024.3472789","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3472789","url":null,"abstract":"Reliable task execution of wheeled platform requires high perceptive ability in terrains. Currently, vision perception is susceptible to external factors such as lighting conditions and air particles, and vibration perception reflects no surface features of terrains. In this article, we propose a novel system geared toward terrain classification based on tactile perception, well addressing those shortcomings. We develop a type of capacitive flexible tactile sensors array for 3-D forces with a wide measuring range, high sensitivity, considerable adaptability, and strong durability. To fully exploit the terrain features of the collected data, we propose a characterization method that encodes tactile information as image flow encompassing spatiotemporal information and establish a novel tactile-based terrain classification dataset. We construct the image flow as special tokens and feed them to a multihead spatiotemporal attention network, with spatial and temporal heads evenly constructed, to ultimately realize terrain classification. Our network achieves an accuracy of 91.9%, demonstrating the superiority over existing algorithms. Accuracies achieved are 81.3% and 76.3%, respectively, with 8-kg burden and at triple speed. Moreover, the performance degradation caused by increasing speed can be alleviated by decreasing time steps.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 22","pages":"38507-38517"},"PeriodicalIF":4.3,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645432","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

Discharge Mode Analysis of Coplanar Dielectric Barrier Discharge Based on Image Processing 基于图像处理的共面介质势垒放电模式分析

IF 1.3 1区化学

Accounts of Chemical Research Pub Date : 2024-10-08 DOI: 10.1109/TPS.2024.3466912

Qiaojue Liu;Mi You;Jieming Wang;Yangyang Chen;Zhanhe Guo;Shushu Zhu;Shuqun Wu

{"title":"Discharge Mode Analysis of Coplanar Dielectric Barrier Discharge Based on Image Processing","authors":"Qiaojue Liu;Mi You;Jieming Wang;Yangyang Chen;Zhanhe Guo;Shushu Zhu;Shuqun Wu","doi":"10.1109/TPS.2024.3466912","DOIUrl":"https://doi.org/10.1109/TPS.2024.3466912","url":null,"abstract":"Coplanar dielectric barrier discharge (CDBD) is widely used on the surface of materials because of its high plasma density and no requirement for the thickness of modified materials. In order to make the filamentary CDBD achieve suitable modification conditions under atmospheric pressure air conditions, a convenient and effective method for judging the macroscopic characteristics of discharge is urgently needed. In this article, a method of CDBD discharge analysis based on image processing is proposed, which characterizes the discharge uniformity by the saturation voltage obtained by binarization of the discharge image, the average pixel value, and the pixel variance of the discharge gray image. It makes up for the lack of identification of discharge uniformity by traditional diagnostic methods and can analyze discharge saturation voltage, discharge intensity, and uniformity efficiently and quickly. According to the above three parameters, we can further divide the discharge mode into fast discharge mode, slow discharge mode, and saturated discharge mode. The research in this article simplifies the process of determining the working conditions of surface modification using CDBD and provides a new idea for the scientific and quantitative study of the discharge characteristics of CDBD.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":"52 8","pages":"3166-3173"},"PeriodicalIF":1.3,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sensing the Aging State of Nomex-Based Nanocomposite Insulation by Dielectric Spectroscopy 利用介电波谱感知基于 Nomex 的纳米复合绝缘材料的老化状态

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-10-08 DOI: 10.1109/JSEN.2024.3472281

S. Maity;S. K. Paul;S. Maur;B. Chakraborty;A. K. Pradhan;S. Dalai;B. Chatterjee;S. Chatterjee

{"title":"Sensing the Aging State of Nomex-Based Nanocomposite Insulation by Dielectric Spectroscopy","authors":"S. Maity;S. K. Paul;S. Maur;B. Chakraborty;A. K. Pradhan;S. Dalai;B. Chatterjee;S. Chatterjee","doi":"10.1109/JSEN.2024.3472281","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3472281","url":null,"abstract":"This article proposes a methodology to estimate the aging state of the Nomex-based dry-type nanocomposite (NDNC) insulation. For this purpose, seven types of NDNC insulation samples are prepared in the laboratory for experimental investigation. The test samples are undergone through accelerated thermal aging at 145 °C for 600 h in steps of 100 h. The dielectric spectroscopy measurements are conducted on the NDNC-type insulation samples at each aging stages. Three aging sensitive parameters [i.e., transfer function pole (TFP), detrapped charge, and hopping conductivity] are extracted from the experimental results obtained by dielectric spectroscopy [i.e., polarization and depolarization current (PDC) and complex permittivity]. From the experimental results, it is observed that these three parameters are altered with the duration of the thermal aging. This fact signifies that these parameters can be utilized as aging sensitive markers. Therefore, using these three aging sensitive parameters, three empirical relationships are derived to correlate the thermal aging status of the NDNC insulation. Finally, the derived relationships are validated through different sets of test samples having known aging status. Hence, this experimental investigation reveals that the proposed technique can suitably assess the thermal aging state of the NDNC insulation.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 22","pages":"37586-37594"},"PeriodicalIF":4.3,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645463","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

Physical Adversarial Attack on Monocular Depth Estimation via Shape-Varying Patches 通过形状变化补丁对单目深度估计的物理对抗性攻击

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-10-08 DOI: 10.1109/JSEN.2024.3472032

Chenxing Zhao;Yang Li;Shihao Wu;Wenyi Tan;Shuangju Zhou;Quan Pan

{"title":"Physical Adversarial Attack on Monocular Depth Estimation via Shape-Varying Patches","authors":"Chenxing Zhao;Yang Li;Shihao Wu;Wenyi Tan;Shuangju Zhou;Quan Pan","doi":"10.1109/JSEN.2024.3472032","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3472032","url":null,"abstract":"Adversarial attacks against monocular depth estimation (MDE) systems, which serve as critical visual sensors in autonomous driving and various safety-critical applications, pose significant challenges. These depth cameras provide essential distance information, enabling accurate perception and decision-making. Existing patch-based adversarial attacks for MDE are confined to the vicinity of the patch, limiting their impact on the entire target. To address this limitation, we propose a physics-based adversarial attack on MDE using a framework called an attack with shape-varying patches (ASP). This framework optimizes the content, shape, and position of patches to maximize its disruptive effectiveness on the sensor’s output. We introduce various mask shapes, including quadrilateral, rectangular, and circular masks, to enhance the flexibility and efficiency of the attack. In addition, we propose a new loss function to extend the influence of patches beyond the overlapping regions. Experimental results demonstrate that our attack method generates an average depth error of 18 m on the target car with a patch area of 1/9, impacting over 98% of the target area. This work underscores the vulnerability of visual sensors, such as depth cameras, to adversarial attacks and highlights the imperative for enhanced security measures in sensor technology to ensure reliable and safe operation.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 22","pages":"38440-38452"},"PeriodicalIF":4.3,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645528","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

Enhancing the Sensitivity of a Temperature and Relative Humidity Sensor Utilizing Fe₂O₃-Coated Tapered Optical Fiber 利用铁₂O₃涂层锥形光纤提高温度和相对湿度传感器的灵敏度

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-10-08 DOI: 10.1109/JSEN.2024.3472070

Qichang Jiang;Su Sheng;Fulin Chen;Zinan Tu;Jian Wen;Chao Jiang

引用次数: 0

An Effective Method for Identifying Uneven Load Distribution on the Tooth Faces of Misaligned Wide-Faced Helical Gear Pairs 识别错位宽面螺旋齿轮对齿面上不均匀载荷分布的有效方法

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-10-08 DOI: 10.1109/JSEN.2024.3472024

Qizhi Wan;Jiajun Chen;Weifang Chen;Rupeng Zhu

{"title":"An Effective Method for Identifying Uneven Load Distribution on the Tooth Faces of Misaligned Wide-Faced Helical Gear Pairs","authors":"Qizhi Wan;Jiajun Chen;Weifang Chen;Rupeng Zhu","doi":"10.1109/JSEN.2024.3472024","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3472024","url":null,"abstract":"Wide-faced helical gears are commonly used in ships and industrial applications, where high torque transmission is required. These gears are highly sensitive to shaft misalignment, which can alter the load distribution across a gear pair, leading to increased contact stress and tooth root stress (TRS). In this study, the finite element method is employed to analyze the relationship between load distribution on the tooth face and TRS distribution at various positions under different misalignment errors (MEs). It was ultimately determined that the TRS distribution through the tooth slot center reflects the contact state of the tooth face, and through quantitative analysis, reveals the relationship between ME and the degree of load distribution unevenness, establishing a method to identify the degree of load distribution unevenness on the tooth face by the TRS distribution through the center of the tooth slot. Finally, a new strain gauge arrangement method is proposed and experimentally validated. This method effectively captures the TRS of wide-faced helical gears with misalignment and pitch errors, thereby obtaining a more accurate TRS distribution at the center of the tooth slot.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 22","pages":"36569-36578"},"PeriodicalIF":4.3,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636507","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 Reliable Robot Localization Method Using LiDAR and GNSS Fusion Based on a Two-Step Particle Adjustment Strategy 基于两步粒子调整策略的可靠的激光雷达与全球导航卫星系统融合机器人定位方法

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-10-08 DOI: 10.1109/JSEN.2024.3472470

Wei Tang;Anmin Huang;Enbo Liu;Jiale Wu;Renyuan Zhang

{"title":"A Reliable Robot Localization Method Using LiDAR and GNSS Fusion Based on a Two-Step Particle Adjustment Strategy","authors":"Wei Tang;Anmin Huang;Enbo Liu;Jiale Wu;Renyuan Zhang","doi":"10.1109/JSEN.2024.3472470","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3472470","url":null,"abstract":"Accurate localization is essential for robot autonomous navigation. The localization methods that rely overly on the global navigation satellite system (GNSS) are not reliable in urban environments where GNSS signals are vulnerable to occlusion. In this work, we fuse data from IMU, LiDAR, and GNSS with a particle filter, presenting a novel method based on a two-step particle adjustment strategy. Our algorithm first uses GNSS data to evaluate the current particles and adjust their distribution if necessary. Subsequently, we use laser measurements to evaluate old particles and the reliability of the GNSS data, adjusting the particle distribution for correction. In addition, we use statistical features of point clouds for laser measurements, which transform the global map into a series of normal distribution models, and use these models to match with 3-D laser scans for particle state evaluation. Our method improves the processing efficiency of 3-D point cloud data and fully utilizes its 3-D features during localization. Experimental results demonstrate that our algorithm achieves higher localization accuracy on the publicly available KITTI dataset and in real campus environments. In addition, our algorithm consistently delivers precise localization in both open areas and GNSS-unavailable scenarios, showcasing superior reliability.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 22","pages":"37846-37858"},"PeriodicalIF":4.3,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636545","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

Aerodynamic Disturbance Estimation in Quadrotor Landing on Moving Platform via Noise Reduction Extended Disturbance Observer 通过降噪扩展扰动观测器估算四旋翼机器人在移动平台上着陆时的空气动力扰动

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-10-08 DOI: 10.1109/JSEN.2024.3472025

Yufei Zhang;Zhong Wu;Tong Wei

{"title":"Aerodynamic Disturbance Estimation in Quadrotor Landing on Moving Platform via Noise Reduction Extended Disturbance Observer","authors":"Yufei Zhang;Zhong Wu;Tong Wei","doi":"10.1109/JSEN.2024.3472025","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3472025","url":null,"abstract":"As the main factor affecting the safety of quadrotor unmanned aerial vehicles (UAVs) on moving platforms, aerodynamic disturbances are not easy to directly measure but can be effectively estimated from control system information by extended disturbance observers (EDOs). To guarantee estimation accuracy for aerodynamic disturbances with fast dynamics induced by increased speed of landing platforms, high bandwidth is necessary for EDOs. However, high bandwidth of EDOs will result in high gain problems which may amplify measurement noises in the control system. To suppress the effects of measurement noises on estimation accuracy, a pair of noise reduction EDOs (NREDOs) are proposed to estimate aerodynamic disturbances for quadrotor UAVs landing on moving platforms. The pair observers are designed to estimate force and torque disturbances for translational and rotational subsystems, respectively. Different from EDOs, each NREDO takes the integral of the lumped disturbance as an augmented state and virtual measurement in the state-space disturbance model. The prediction error of the virtual measurement is taken as an innovation to update the observer. Moreover, a tuning rule of observer gains is proposed to further improve estimation accuracy. Theoretical analysis indicates that the integrals provide NREDOs with superior performance in noise suppression than EDOs. Landing experiments on a platform of 25 km/h demonstrate the effectiveness of the proposed scheme.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 22","pages":"37566-37574"},"PeriodicalIF":4.3,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645426","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