{"title":"Call for Papers for Journal of Lightwave Technology: Special Issue on OFS-29","authors":"","doi":"10.1109/TSM.2025.3534595","DOIUrl":"https://doi.org/10.1109/TSM.2025.3534595","url":null,"abstract":"","PeriodicalId":451,"journal":{"name":"IEEE Transactions on Semiconductor Manufacturing","volume":"38 1","pages":"110-110"},"PeriodicalIF":2.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10903546","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Call for Papers for a Special Issue of IEEE Transactions on Electron Devices on \"Wide Band Gap Semiconductors for Automotive Applications\"","authors":"","doi":"10.1109/TSM.2025.3534591","DOIUrl":"https://doi.org/10.1109/TSM.2025.3534591","url":null,"abstract":"","PeriodicalId":451,"journal":{"name":"IEEE Transactions on Semiconductor Manufacturing","volume":"38 1","pages":"106-107"},"PeriodicalIF":2.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10903515","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Call for Papers for a Special Issue of IEEE Transactions on Materials for Electron Devices: \"Exploration of the Exciting World of Multifunctional Oxide-Based Electronic Devices: From Material to System-Level Applications\"","authors":"","doi":"10.1109/TSM.2025.3534593","DOIUrl":"https://doi.org/10.1109/TSM.2025.3534593","url":null,"abstract":"","PeriodicalId":451,"journal":{"name":"IEEE Transactions on Semiconductor Manufacturing","volume":"38 1","pages":"108-109"},"PeriodicalIF":2.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10903522","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Transactions on Semiconductor Manufacturing Information for Authors","authors":"","doi":"10.1109/TSM.2025.3534606","DOIUrl":"https://doi.org/10.1109/TSM.2025.3534606","url":null,"abstract":"","PeriodicalId":451,"journal":{"name":"IEEE Transactions on Semiconductor Manufacturing","volume":"38 1","pages":"C3-C3"},"PeriodicalIF":2.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10903151","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Factor Graph Optimization Localization Method Based on GNSS Performance Evaluation and Prediction in Complex Urban Environment","authors":"Xiaowei Xu;Xiaolin Yang;Pin Lyu;Lijuan Li","doi":"10.1109/JSEN.2025.3542058","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3542058","url":null,"abstract":"This article proposes an online global navigation satellite system (GNSS) positioning performance evaluation and position prediction method to handle the degradation of positioning accuracy due to the complex urban denial environment. A dynamic trust (DT) function is constructed by combining multiparameter metrics to dynamically filter inavailable information and optimize information utilization. An improved indirect position prediction model based on bi-directional long short-term memory (BiLSTM) and strapdown inertial navigation system toward the heading error divergence model (SINS-HEDM) is constructed to enhance the accuracy of the navigation system. In order to reduce the interference of human driving behavior on the direction information in the position, the position is decomposed into distance and direction. BiLSTM is employed to predict vehicle movement distances between adjacent moments, and SINS-HEDM is designed to compensate for heading errors in SINS. A robust factor graph optimized (FGO) fusion method is presented for achieving reliable vehicle positioning in urban GNSS-denied environments. A comparative experiment is adopted to demonstrate the superiority of the proposed method.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"12455-12465"},"PeriodicalIF":4.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748981","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}
{"title":"Design and Analysis of Permanent Magnet Arc-Linear Motor Having Different Stator-Permanent Magnet Arrangements","authors":"Zhenbao Pan;Jiwen Zhao;Kaiwei Wei;Yiming Shen","doi":"10.1109/TPS.2025.3534983","DOIUrl":"https://doi.org/10.1109/TPS.2025.3534983","url":null,"abstract":"Permanent magnet (PM) linear motor is widely used in the electromagnetic launch system due to the merits of high thrust and rapid response. Inheriting the advantages of linear motor, the PM arc-linear motor (PMAM) has been recognized as an eminent competitor for driving servo turntables and large telescope. This article designs a dual-PM excited PMAM (DPM-PMAM) having different PM arrangements and three-unit distributed complementary structure. Benefiting from the special stator-PM layouts, the DPM-PMAM exhibits the essential flux concentration effect, which contributes to enhance the torque capability. The motor topology and working principle of the studied DPM-PMAM are introduced. The feasible stator slot/rotor pole combinations and the major design parameters are optimized for improving electromagnetic performances. Then, the DPM-PMAM is quantitatively compared with the slot-PM excited PMAM (SPM-PMAM) and the yoke-PM excited PMAM (YPM-PMAM) based on the optimal designs. By comparison, it is found that the DPM-PMAM shows the improved average torque and good overload capability. Finally, the 2-D finite-element (FE) predicted results are validated by 3-D FE results.","PeriodicalId":450,"journal":{"name":"IEEE Transactions on Plasma Science","volume":"53 3","pages":"430-438"},"PeriodicalIF":1.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10904122","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143645172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maira Ehsan Mughal;Muhammad Rehan;Muhammad Mubasher Saleem;Masood Ur Rehman;Hamid Jabbar;Rebecca Cheung
{"title":"Development of a Capacitive-Piezoelectric Tactile Force Sensor for Static and Dynamic Forces Measurement and Neural Network-Based Texture Discrimination","authors":"Maira Ehsan Mughal;Muhammad Rehan;Muhammad Mubasher Saleem;Masood Ur Rehman;Hamid Jabbar;Rebecca Cheung","doi":"10.1109/JSEN.2025.3542498","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3542498","url":null,"abstract":"Taking inspiration from human tactile system, a sensitive biomimetic multimodal tactile sensor for discrimination of static and dynamic forces is presented in this article. The multimodal tactile sensor has a piezoelectric-capacitive tandem for responding to the dynamic and static forces, respectively. Sensor can cater to normal direction dynamic force signals with a piezoelectric part operating in the <inline-formula> <tex-math>${d}_{{33}}$ </tex-math></inline-formula> mode and static force with a capacitive part. The capacitive sensing part has a unique configuration with a top electrode and two sets of differential pairs electrodes for the force measurement in x and y shear axis and one electrode for normal force measurement. The experimental characterization of the sensor was performed for static, quasi-static, and dynamic forces. Along with the static forces, the sensor was also able to cater to dynamic forces up to 60 Hz. The force sensitivity of the sensor for the normal force is 0.084 pF/N and 0.035 V/N from the capacitive and piezoelectric part, respectively, for a force range of 10 N. Also, in the shear X- and Y-directions, the sensor exhibited a sensitivity of 0.027 and 0.029 pF/N, respectively, in the force range of 1.2 N. Through the vibrotactile data, the sensor showed an ability to discriminate between two texture samples through a neural network classifier. The presented sensor owing to its dimension, performance, and capabilities can find its application in minimally invasive robotic surgery, robotics, wearable devices, and prosthetics.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"11944-11954"},"PeriodicalIF":4.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748862","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}
{"title":"Robust Wireless Temperature Sensing With High Resolutions Based on LC Fano Resonance","authors":"Lei Dong;Xi-Fan Gao;Li-Feng Wang;Qing-An Huang","doi":"10.1109/JSEN.2025.3543499","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3543499","url":null,"abstract":"LC passive wireless sensors are excelling in wearable devices with the advantages of wireless sensing and compatibility with multiple fabrication processes. Classical LC sensing systems face the challenges of misdiagnosing at different interrogation distances since the frequency detection of the Lorentzian resonance is affected by mutual coupling. Here, we propose the asymmetric LC Fano resonance to improve robust wireless interrogation by detecting the peak and valley frequencies simultaneously, making the frequency calibration insensitive to the coupling coefficient. To form the asymmetric Fano resonance in an LC wireless sensing system, we introduce a negative impedance compensation (NIC) to the classical LC temperature sensor embedded in a wearable bandage. A sharp resonant peak is generated and able to be detected by coupling to a continuum resonance provided by an external readout. Moreover, high-temperature resolutions are observed by monitoring the peak and valley frequencies of Fano resonance. We test the wearable temperature sensing bandages from <inline-formula> <tex-math>$36~^{circ }$ </tex-math></inline-formula>C to <inline-formula> <tex-math>$42~^{circ }$ </tex-math></inline-formula>C to imitate the healing and inflammation process. Compared to the traditional LC sensors with Lorentz resonance, the Fano-resonant sensor features coupling-independent interrogation and possesses temperature resolutions as high as <inline-formula> <tex-math>$0.07~^{circ }$ </tex-math></inline-formula>C. The proposed Fano-resonant LC wireless sensing system provides a potential approach for robust wearable sensing systems with high resolutions.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"12278-12285"},"PeriodicalIF":4.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748928","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}
{"title":"Discrete-Time Circuital Modeling of Hysteretic Piezo-Actuated MEMS Loudspeakers for In-Ear Applications","authors":"Oliviero Massi;Riccardo Giampiccolo;Alberto Bernardini","doi":"10.1109/JSEN.2025.3543719","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3543719","url":null,"abstract":"Piezoelectrically actuated micro-electromechanical systems (MEMS) loudspeakers have experienced significant advancements in recent years, achieving acoustic performance for in-ear applications comparable with traditional electrodynamic microspeakers. Despite their advantages in compactness, power efficiency, and ease of integration, these devices are limited by nonlinear hysteretic effects inherent to piezoelectric transduction, which often lead to undesirable distortion. Accurate and computationally efficient models are crucial for enabling digital signal processing (DSP) precompensation algorithms to address this challenge. While well-established nonlinear lumped-element models of electrodynamic loudspeakers have supported DSP techniques for equalization and linearization, the lack of analogous models for MEMS loudspeakers has constrained their broader application. This article presents a nonlinear discrete-time circuital model for a piezo-actuated MEMS loudspeaker designed for in-ear applications. The proposed model integrates two key processing components: a neural network (NN)-based block that accurately captures the nonlinear hysteretic behavior of piezoelectric transduction, and a linear circuit-equivalent block that represents the loudspeaker’s vibration and acoustic environment. The discrete-time implementation of the model, including a wave digital filter (WDF) realization of the circuit-equivalent block, enables efficient and accurate simulation of nonlinear hysteretic dynamics under arbitrary input signals. Validation against experimental data—including time-domain pressure waveforms, frequency-domain sound pressure level (SPL), and total harmonic distortion (THD)—demonstrates the model’s accuracy and effectiveness across a wide range of operating conditions.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"11236-11245"},"PeriodicalIF":4.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748790","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}