IEEE Sensors Letters最新文献

IEEE Sensors Letters Publication Information IEEE传感器通讯出版信息

IF 2.2

IEEE Sensors Letters Pub Date : 2025-01-15 DOI: 10.1109/LSENS.2025.3527772

引用次数: 0

IEEE Sensors Letters Subject Categories for Article Numbering Information 用于物品编号信息的IEEE传感器字母主题分类

IF 2.2

IEEE Sensors Letters Pub Date : 2025-01-15 DOI: 10.1109/LSENS.2025.3527776

引用次数: 0

Room-Temperature-Operated Fe2O3/PANI-Based Flexible and Eco-Friendly Ammonia Sensor With Sub-ppm Detectability 室温工作Fe2O3/ pani基柔性环保亚ppm检测氨传感器

IF 2.2

IEEE Sensors Letters Pub Date : 2025-01-08 DOI: 10.1109/LSENS.2025.3527229

Ajay Beniwal;Rahul Gond;Xenofon Karagiorgis;Brajesh Rawat;Chong Li

{"title":"Room-Temperature-Operated Fe2O3/PANI-Based Flexible and Eco-Friendly Ammonia Sensor With Sub-ppm Detectability","authors":"Ajay Beniwal;Rahul Gond;Xenofon Karagiorgis;Brajesh Rawat;Chong Li","doi":"10.1109/LSENS.2025.3527229","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3527229","url":null,"abstract":"In this letter, a room temperature (RT) (∼27 °C) operated ferric oxide/polyaniline (Fe2O3/PANI) composite-based flexible ammonia sensor with substantial sensing performance is reported. Initially, interdigitated electrodes were screen printed (using graphene-carbon-based ink) on a bio-degradable paper substrate. Further, PANI nanofibers were electrospun on printed IDEs, followed by drop casting a layer of Fe2O3. X-ray diffraction and Fourier transform infrared spectroscopy studies were performed to confirm the composite formation, followed by scanning electron microscopy analysis to examine the sensing surface morphology. The ammonia sensing performance was examined within the range of 0.5 ppm (i.e., 500 ppb) to 50 ppm, with a 1.99% response achieved even at 0.5 ppm. The response/recovery times were noted as 950/250 s toward 0.5 ppm of ammonia. In addition, selectivity toward interference gases including carbon dioxide, nitrogen dioxide, carbon monoxide, and sulfur dioxide was also investigated. The proposed sensing mechanism of the composite material toward ammonia gas detection is also presented.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FL-RTIS, a Novel Multimodal Sensor Using High-Speed Camera and Active 3-D Sonar for Insect Ensonification 基于高速摄像机和主动三维声纳的昆虫多模态传感器FL-RTIS

IF 2.2

IEEE Sensors Letters Pub Date : 2025-01-08 DOI: 10.1109/LSENS.2025.3527116

Jan Steckel;Pamela Rivera Parra;Arne Aerts;Dennis Laurijssen;Wouter Jansen;Walter Daems;Jesse Barber

引用次数: 0

Fast-Alignment of AR Headset From Local to Geodetic Coordinate Frame for Navigation and Mixed Reality Applications 导航和混合现实应用中AR头显从本地坐标系到大地坐标系的快速对准

IF 2.2

IEEE Sensors Letters Pub Date : 2025-01-07 DOI: 10.1109/LSENS.2025.3526597

Eudald Sangenis;Andrei M. Shkel

{"title":"Fast-Alignment of AR Headset From Local to Geodetic Coordinate Frame for Navigation and Mixed Reality Applications","authors":"Eudald Sangenis;Andrei M. Shkel","doi":"10.1109/LSENS.2025.3526597","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3526597","url":null,"abstract":"The integration of virtual reality (VR) and augmented reality (AR) technologies into location-based services and applications necessitates precise navigation within an absolute geodetic reference frame, utilizing latitude, longitude, and altitude (LLA) coordinates. Typically, VR/AR headsets establish a local Cartesian (XYZ) world coordinate (WC) frame with an arbitrary initial origin and orientation. For accurate geodetic navigation, it is essential to align these devices to the true North (TN). This letter introduces an AR-based method for achieving the initial alignment of the WC frame relative to the geodetic frame. We developed an AR user interface to visually guide users to a known target with LLA coordinates, indirectly aligning the system to TN. Using a Magic Leap 2 AR headset, we evaluated our approach against traditional magnetometer-based methods. Our experimental results demonstrated that our method reduces the mean angular error by a factor of 4× and the standard deviation (<inline-formula><tex-math>$sigma$</tex-math></inline-formula>) by 5× compared to traditional magnetometer methods. This improvement can eliminate the need for initial magnetometer calibration, offering a more efficient and robust solution for TN alignment in AR/VR applications.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multistream CNN-BiLSTM Framework for Enhanced Human Activity Recognition Leveraging Physiological Signal 利用生理信号增强人体活动识别的多流CNN-BiLSTM框架

IF 2.2

IEEE Sensors Letters Pub Date : 2025-01-06 DOI: 10.1109/LSENS.2025.3526446

Abisek Dahal;Soumen Moulik

引用次数: 0

Employing Nondestructive Approach of Spectral Imaging to Detect Artificially Degreened Lemon 采用无损光谱成像方法检测人工脱脂柠檬

IF 2.2

IEEE Sensors Letters Pub Date : 2025-01-02 DOI: 10.1109/LSENS.2025.3525485

Anish Prabhu;Aparajita Naik;Sakshi Raut;Narayan Vetrekar;Raghavendra Ramachandra;R. S. Gad

引用次数: 0

Tomographic Inversion of Urban Area via Tikhonov Regularization and Bayesian Information Criterion 基于吉洪诺夫正则化和贝叶斯信息准则的城市区域层析反演

IF 2.2

IEEE Sensors Letters Pub Date : 2025-01-02 DOI: 10.1109/LSENS.2024.3525127

Hui Bi;Weihao Xu;Shuang Jin;Jingjing Zhang

{"title":"Tomographic Inversion of Urban Area via Tikhonov Regularization and Bayesian Information Criterion","authors":"Hui Bi;Weihao Xu;Shuang Jin;Jingjing Zhang","doi":"10.1109/LSENS.2024.3525127","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3525127","url":null,"abstract":"As an extension of synthetic aperture radar (SAR), SAR tomography (TomoSAR) technology can reduce the overlapping in 2-D SAR image and separate multiscatterer along the elevation direction, thereby achieving the high-precision 3-D reconstruction of the surveillance area. However, in practical spaceborne TomoSAR application, the quality of 3-D imaging is restricted by the limited number of baselines and their uneven distribution. Therefore, it is necessary to find advanced signal processing technology to achieve the target 3-D recovery when the amount of data is limited. In this letter, a novel Tikhonov regularization and Bayesian information criterion (BIC)-based nonparametric iterative adaptive approach (IAA), named RIAA-BIC, is proposed and introduced to the spaceborne data processing. Compared with conventional spectral estimation, compressed sensing-based, and IAA algorithms, the proposed method incorporates the Tikhonov regularization term to avoid the problem of solving nonlinear ill-posed equation in the elevation inversion. Furthermore, the BIC model selection tool can eliminate the false or weak scatterers, thereby improving the 3-D reconstruction accuracy of the surveillance area. Experimental results based on TerraSAR-X dataset verify the proposed method.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reviewers List 评论家列表

IF 2.2

IEEE Sensors Letters Pub Date : 2024-12-30 DOI: 10.1109/LSENS.2024.3521548

引用次数: 0

Analysis of Microwave Radiometry of Snow and Ice on an Outdoor Experimental Asphalt Surface 室外实验沥青路面冰雪微波辐射测量分析

IF 2.2

IEEE Sensors Letters Pub Date : 2024-12-30 DOI: 10.1109/LSENS.2024.3523905

Yasuhiro Tanaka;Kazutaka Tateyama

{"title":"Analysis of Microwave Radiometry of Snow and Ice on an Outdoor Experimental Asphalt Surface","authors":"Yasuhiro Tanaka;Kazutaka Tateyama","doi":"10.1109/LSENS.2024.3523905","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3523905","url":null,"abstract":"This letter presents the feasibility of a classification that divides six surfaces into more than four surfaces using radiometric values retrieved from brightness temperatures (TBs) observed at 6- and 36-GHz radiometers with vertical (V) and horizontal (H) polarizations on asphalt surface. The feasibility was investigated by using the Mahalanobis-distance-based approach of the canonical discriminant analysis. Combining 6 V (or 36 V) and 36 H emissivities, with the use of the surface temperature, showed the classification accuracy of 94%. In addition, combining the polarization ratio at 36 GHz TBs (PR36) and the cross-polarized gradient ratio between 36 H and 6 V TBs (XGPR36H06V), without the use of the surface temperature, showed the classification accuracy of 97%. Both the combination of 6 V and 36 H emissivities and the combination of PR36 and XGPR36H06V have the potential for dividing six surface conditions into five surface conditions. Results suggest that the combination of PR36 and XGPR36H06V potentially has a classification ability similar to that of 6 V and 36 H emissivities.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10818409","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0