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Ultrafast magneto-optical dynamics in nickel(111)single crystal studied by the integration of ultrafast reflectivity and polarimetry probes

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Chinese Physics B 2024年第3期33卷 65-69页

作者：匡皓余军潇陈洁 H.E.Elsayed-Ali 李润泽 Peter M.Rentzepis School of Physical Science and Technology ShanghaiTech UniversityShanghai 201210China Center for Transformative Science ShanghaiTech UniversityShanghai 201210China Center for Ultrafast Science and Technology Key Laboratory for Laser Plasmas (Ministry of Education)Collaborative Innovation Center of IFSA (CICIFSA)School of Physics and AstronomyShanghai Jiao Tong UniversityShanghai 200240China Department of Electrical and Computer Engineering Old Dominion UniversityNorfolkVirginia 23529USA Department of Electrical and Computer Engineering Texas A&M UniversityCollege StationTexas 77843USA

With the integration of ultrafast reflectivity and polarimetry probes,we observed carrier relaxation and spin dynamics induced by ultrafast laser excitation of Ni(111)single *** carrier relaxation time within the linear excitation range reveals that electron-phonon coupling and dissipation of photon energy into the bulk of the crystal take tens of *** the other hand,the observed spin dynamics indicate a longer time of about 120 *** further understand how the lattice degree of freedom is coupled with these dynamics may require the integration of an ultrafast diffraction probe.

关键词： ultrafast spin dynamics non-equilibrium dynamics multi-probe

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EEG Information Transfer Changes in Different Daily Fatigue Levels during Drowsy Driving

IEEE Open Journal of Engineering in Medicine and Biology

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IEEE Open Journal of engineering in Medicine and Biology 2024年 5卷 180-190页

作者： Huang, Kuan-Chih Tseng, Chun-Ying Lin, Chin-Teng National Yang Ming Chiao Tung University Brain Science and Technology Center Hsinchu300 Taiwan University of Technology Sydney Australian Artificial Intelligence Institute Faculty of Engineering and IT SydneyNSW2007 Australia National Yang Ming Chiao Tung University Brain Science and Technology Center Department of Electrical and Computer Engineering Hsinchu300 Taiwan

A significant issue for traffic safety has been drowsy driving for decades. A number of studies have investigated the effects of acute fatigue on spectral power;and recent research has revealed that drowsy driving is associated with a variety of brain connections in a specific cortico-cortical pathway. In spite of this, it is still unclear how different brain regions are connected in drowsy driving at different levels of daily fatigue. This study identified the brain connectivity-behavior relationship among three different daily fatigue levels (low-, median-and high-fatigue) with the EEG data transfer entropy. According to the results, only low-and medium-fatigue groups demonstrated an inverted U-shaped change in connectivity from high performance to poor behavioral performance. In addition, from low-to high-fatigue groups, connectivity magnitude decreased in the frontal region and increased in the occipital region. These study results suggest that brain connectivity and driving behavior would be affected by different levels of daily fatigue. © 2020 IEEE.

关键词： Electroencephalography

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XgBoost based Short-term electrical Load Forecasting Considering Trends & Periodicity in Historical Data

XgBoost based Short-term Electrical Load Forecasting Conside...

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Shabbir, Noman Ahmadiahangar, Roya Rosin, Argo Jawad, Muhammad Kilter, Jako Martins, Joao Tallinn University of Technology FinEST Center for Smart Cities Tallinn Estonia Nova University Department of Electrical & Computer Engineering Lisbon Portugal Tallinn University of Technology Department of Electrical Power Engineering Tallinn Estonia Comsats University Department of Electrical & Computer Engineering Lahore Pakistan

ISBN: (纸本)9781665471640

The effective planning and management of residential electricity demand requires precise forecasting of the short-term electrical load. A novel approach is proposed for short-term electrical load forecast employing the XGBoost algorithm in this research work which is based on feature selection by considering the trends and patterns in the historical dataset. This XGBoost algorithm combines several weak learners to create a strong predictive model. The trained model is capable of capturing the nonlinear relationships and complex patterns present in real-world residential load data. The simulation results reveal that the XGBoost algorithm outperforms traditional forecasting techniques in terms of accuracy when trained on feature selection based on data analytics. The accuracy of the forecast is assessed using standard metrics such as root mean square error (RMSE), mean absolute percentage error (MAPE), mean square error (MSE), and mean absolute error (MAE). The proposed approach achieves significant improvements for a 24-hour-ahead electrical load forecast for domestic users. © 2023 IEEE.

关键词： CAT boost Load forecast Machine learning Residential load XgBoost algorithm

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Millimeter-wave Low-profile Spoof Surface Plasmon Polaritons Endfire Antenna Using Traveling-wave Feeding Mechanism

Millimeter-wave Low-profile Spoof Surface Plasmon Polaritons...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Zhang, Yiming Yao, Yuanqing Hu, Jun He, Sailing Zhejiang University Rf Circuit & Microwave System Lab Center for Optical and Electromagnetic Research National Engineering Research Center for Optical Instruments Hangzhou310058 China School of Electrical Engineering Kth Royal Institute of Technology Department of Electromagnetic Engineering StockholmSE-100 44 Sweden

ISBN: (纸本)9798350375909

A novel endfire antenna utilizing spoof surface plasmon polaritons (SSPP) and a traveling-wave feeding mechanism is introduced. The proposed endfire antenna operates in the millimeter-wave (mmW) band. The placement of a Vivaldi antenna at the front end of the SSPP endfire antenna allows for the efficient transmission of surface waves and the generation of an end-fire beam. The electromagnetic waves are coupled from the travelingwave feeding mechanism to the slot located between the Vivaldi antenna and the SSPP endfire antenna. Furthermore, we conducted a comparison between the effects of a standing-wave feeding mechanism and a traveling-wave feeding mechanism on the transmission performance and radiation pattern of the designed endfire antennas. The numerical analysis demonstrates that employing a traveling-wave feeding mechanism leads to a reduction of 63% in impedance bandwidth, while concurrently increasing the gain by 0.42dB. The ultimate configured antenna aperture measures 0.21λ0 × 0.02λ0, showcasing its low-profile attributes. © 2024 IEEE.

关键词： Millimeter waves

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Thermoelastic damping in MEMS gyroscopes at high frequencies

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Microsystems & Nanoengineering 2023年第1期9卷 137-148页

作者： Daniel Schiwietz Eva M.Weig Peter Degenfeld-Schonburg Robert Bosch GmbH Corporate Research71272RenningenGermany Department of Electrical&Computer Engineering Technical University of Munich85748GarchingGermany Munich Center for Quantum Science and Technology(MCQST) 80799MunichGermany TUM Center for Quantum Engineering(ZQE) 85748GarchingGermany

Microelectromechanical systems(MEMS)gyroscopes are widely used,e.g.,in modern automotive and consumer applications,and require signal stability and accuracy in rather harsh environmental *** many use cases,device reliability must be guaranteed under large external loads at high *** sensitivity of the sensor to such external loads depends strongly on the damping,or rather quality factor,of the high-frequency mechanical modes of the *** this paper,we investigate the influence of thermoelastic damping on several high-frequency modes by comparing finite element simulations with measurements of the quality factor in an application-relevant temperature *** measure the quality factors over different temperatures in vacuum,to extract the relevant thermoelastic material parameters of the polycrystalline MEMS *** simulation results show a good agreement with the measured quantities,therefore proving the applicability of our method for predictive purposes in the MEMS design ***,we are able to uniquely identify the thermoelastic effects and show their significance for the damping of the high-frequency modes of an industrial MEMS *** approach is generic and therefore easily applicable to any mechanical structure with many possible applications in nano-and micromechanical systems.

关键词： uniquely generic quantities

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Narrowband HMSIW-SSPP Hybrid Bandpass Filter Operating at Millimeter-wave Band

Narrowband HMSIW-SSPP Hybrid Bandpass Filter Operating at Mi...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Zhang, Yiming Yao, Yuanqing Hu, Jun He, Sailing Zhejiang University RF Circuit & Microwave System Lab Center for Optical and Electromagnetic Research National Engineering Research Center for Optical Instruments Hangzhou310058 China KTH Royal Institute of Technology School of Electrical Engineering Department of Electromagnetic Engineering StockholmSE-100 44 Sweden

ISBN: (纸本)9798350375909

This paper presents a millimeter-wave bandpass filter (BPF) that has a narrow-band and miniature dimension. The proposed BPF employs a half-mode substrate integrated waveguide (HMSIW) topology to attain decreased dimensions. We etched compact spoof surface plasmon polaritons (SSPPs) structures onto two rhombus-shaped HMSIW cavities in order to obtain the ability to filter a narrow range of frequencies. In addition, two HMSIW cavities with rhombus-shaped configurations are connected in series to achieve a high selectivity. In order to obtain a transmission zero in high-frequency part, the microstrip line located at the center of the SSPP structure is enlarged and a metallic via is introduced. Numerical results demonstrate that, the center frequency of the proposed HMSIW-SSPP hybrid BPF is at 30.585 GHz, insertion loss is 2.2 dB, 3-dB bandwidth is as narrow as 3.2%, and the profile is 1.48λ × 0.51λ, which has strong potential for use in millimeter-wave communication and radar applications. © 2024 IEEE.

关键词： Substrate integrated waveguides

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Robust Deep Transfer Learning Based Object Detection and Tracking Approach

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Intelligent Automation & Soft Computing 2023年第3期35卷 3613-3626页

作者： C.Narmadha T.Kavitha R.Poonguzhali V.Hamsadhwani Ranjan walia Monia B.Jegajothi Electronics and Communication Engineering Periyar Maniammai Institute of Science&Technology(PMIST)Thanjavur613403India Department of Computer Science and Engineering Periyar Maniammai Institute of Science&TechnologyThanjavur613403India Department of Electrical and Electronics Engineering Periyar Maniammai Institute of Science and TechnologyThanjavur613403India Electrical Engineering Department Model Institute of Engineering&Technology(Autonomous)Jammu181122India Department of Computer Science and Engineering Shri Mata Vaishno Devi UniversityKatra182320India Center for Energy Research Chennai Institute of TechnologyChennai600069India

At present days,object detection and tracking concepts have gained more importance among researchers and business ***,deep learning(DL)approaches have been used for object tracking as it increases the perfor-mance and speed of the tracking *** paper presents a novel robust DL based object detection and tracking algorithm using Automated Image Anno-tation with ResNet based Faster regional convolutional neural network(R-CNN)named(AIA-FRCNN)*** AIA-RFRCNN method performs image anno-tation using a Discriminative Correlation Filter(DCF)with Channel and Spatial Reliability tracker(CSR)called DCF-CSRT *** AIA-RFRCNN model makes use of Faster RCNN as an object detector and tracker,which involves region proposal network(RPN)and Fast *** RPN is a full convolution network that concurrently predicts the bounding box and score of different *** RPN is a trained model used for the generation of the high-quality region proposals,which are utilized by Fast R-CNN for detection ***,Residual Network(ResNet 101)model is used as a shared convolutional neural network(CNN)for the generation of feature *** performance of the ResNet 101 model is further improved by the use of Adam optimizer,which tunes the hyperparameters namely learning rate,batch size,momentum,and weight ***,softmax layer is applied to classify the *** performance of the AIA-RFRCNN method has been assessed using a benchmark dataset and a detailed comparative analysis of the results takes *** outcome of the experiments indicated the superior characteristics of the AIA-RFRCNN model under diverse aspects.

关键词： Object detection tracking deep learning deep transfer learning image annotation

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Learning-Based Joint Service Caching and Load Balancing for MEC Blockchain Networks

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China Communications 2023年第1期20卷 125-139页

作者： Wenqian Zhang Wenya Fan Guanglin Zhang Shiwen Mao College of Information Science and Technology Donghua UniversityShanghai 201620China Engineering Research Center of Digitized Textile and Apparel Technology Ministry of EducationShanghai 201620China Department of Electrical and Computer Engineering Auburn UniversityAuburnAL 36849-5201USA

Integrating the blockchain technology into mobile-edge computing(MEC)networks with multiple cooperative MEC servers(MECS)providing a promising solution to improving resource utilization,and helping establish a secure reward mechanism that can facilitate load balancing among *** addition,intelligent management of service caching and load balancing can improve the network utility in MEC blockchain networks with multiple types of *** this paper,we investigate a learningbased joint service caching and load balancing policy for optimizing the communication and computation resources allocation,so as to improve the resource utilization of MEC blockchain *** formulate the problem as a challenging long-term network revenue maximization Markov decision process(MDP)*** address the highly dynamic and high dimension of system states,we design a joint service caching and load balancing algorithm based on the double-dueling Deep Q network(DQN)*** simulation results validate the feasibility and superior performance of our proposed algorithm over several baseline schemes.

关键词： cooperative mobile-edge computing blockchain workload offloading service caching load balancing deep reinforcement learning(DRL)

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Employing the Vernier Effect for Sensitivity Enhancement in a Distributed optical Fiber Sensor

Employing the Vernier Effect for Sensitivity Enhancement in ...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Zhu, Chen Huang, Jie Research Center for Optical Fiber Sensing Zhejiang Laboratory Hangzhou311100 China Department of Electrical and Computer Engineering Missouri University of Science and Technology RollaMO65409 United States

Distributed optical fiber sensing based on microwave photonics with significantly improved and tunable sensitivity enabled by the distributed Vernier effect is demonstrated. © Optica Publishing Group 2023.

ISBN: (纸本)9781957171258

关键词： optical fibers

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Highly Sensitive Refractive Index Sensing Based on Microwave-Photonic Hybrid optical Fiber Interferometers

Highly Sensitive Refractive Index Sensing Based on Microwave...

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Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023

A simple yet new sensing method for measurements of refractive index based on microwave-photonic hybrid optical fiber interferometers (optically coherent and incoherent) is proposed and experimentally demonstrated. &#... 详细信息

ISBN: (纸本)9781957171296

关键词： Fabry Perot interferometers Fiber optic couplers Index measurements Long period fiber gratings optical fibers Tilted fiber Bragg gratings

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