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IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)

作者： Lorenzo Mantione Vanesa Fernandez-Cavero Daniel Morinigo-Sotelo Lucia Frosini Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy Department of Electrical Engineering School of Industrial Engineering Universidad de Valladolid Valladolid Spain GIR ADIRE-HSP Digital Institute of Advanced Production Technologies (ITAP) Universidad de Valladolid Valladolid Spain

In this paper, an analysis to detect broken rotor bars while the motor is operating in closed loop control is presented. Due to changes in the supply frequency, which occur to keep the speed constant, a time-frequency technique is required even when the transient is completed. Signals from the phase current of the induction motor are analysed using traditional methods such as the Fast Fourier Transform and the Short Time Fourier Transform. Finally, the same signals are analysed through the Dragon Transform, that ensures high resolution frequency and time and allows to detect trajectories of the harmonics with different load conditions.

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Controllable multi-level switching of optical phase change materials via microheater temperature profile engineering

Controllable multi-level switching of optical phase change m...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Sun, Hongyi Lian, Chuanyu Vásquez-Aza, Francis Huang, Yi-Siou Vitale, Steven A. Takeuchi, Ichiro Hu, Juejun Youngblood, Nathan Pavlidis, Georges Ríos Ocampo, Carlos A. Department of Materials Science & Engineering University of Maryland College ParkMD20742 United States Institute for Research in Electronics and Applied Physics University of Maryland College ParkMD20742 United States Department of Mechanical Engineering University of Connecticut StorrsCT06269 United States Advanced Materials and Microsystems Group MIT Lincoln Laboratory LexingtonMA02139 United States Quantum Materials Center Department of Physics University of Maryland College ParkMD20742 United States Department of Materials Science & Engineering MIT CambridgeMA02139 United States Electrical & Computer Engineering Department The University of Pittsburgh PittsburghPA15213 United States

We demonstrate doped-silicon-on-insulator microheaters with triangle-like temperature profiles. Such devices control the hotspot size and temperature and, thus, the area that undergoes amorphization or crystallization in optical phase-change materials, leading to controllable multilevel, nonvolatile response. © Optica Publishing Group 2024

关键词： Amorphization

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Capillaric field effect transistors

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Microsystems & Nanoengineering 2022年第2期8卷 59-71页

作者： Claude Meffan Julian Menges Fabian Dolamore Daniel Mak Conan Fee Renwick C.J.Dobson Volker Nock Department of Electrical and Computer Engineering University of CanterburyChristchurch 8041New Zealand Department of Microengineering Kyoto University615-8540 KyotoJapan School of Biological Sciences University of CanterburyChristchurch 8041New Zealand Biomolecular Interaction Centre School of Biological SciencesUniversity of CanterburyChristchurch 8041New Zealand School of Product Design University of CanterburyChristchurch 8041New Zealand Department of Biochemistry and Molecular Biology Bio21 Molecular Science and Biotechnology InstituteUniversity of MelbourneParkvilleVIC 3010Australia The MacDiarmid Institute for Advanced Materials and Nanotechnology Wellington 6140New Zealand

Controlling fluid flow in capillaric circuits is a key requirement to increase their uptake for assay *** action off-valves provide such functionality by pushing an occluding bubble into the channel using a difference in capillary ***,we utilized the binary switching mode of this structure to develop a powerful set of fundamental fluidic valving *** this work,we study the transistor-like qualities of the off-valve and provide evidence that these structures are in fact functionally complementary to electronic junction field effect *** view of this,we propose the new term capillaric field effect transistor to describe these types of *** support this conclusion,we present a theoretical description,experimental characterization,and practical application of analog flow resistance *** addition,we demonstrate that the valves can also be *** show modulation of the flow resistance from fully open to pinch-off,determine the flow rate-trigger channel volume relationship and demonstrate that the latter can be modeled using Shockley's equation for electronic ***,we provide a first example of how the valves can be opened and closed repeatedly.

关键词： transistors effect field

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Ferroelectric transistors based on shear-transformation-mediated rhombohedral-stacked molybdenum disulfide

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Nature Electronics 2024年第1期7卷 29-38页

作者： Yang, Tilo H. Liang, Bor-Wei Hu, Hsiang-Chi Chen, Fu-Xiang Ho, Sheng-Zhu Chang, Wen-Hao Yang, Liu Lo, Han-Chieh Kuo, Tzu-Hao Chen, Jyun-Hong Lin, Po-Yen Simbulan, Kristan Bryan Luo, Zhao-Feng Chang, Alice Chinghsuan Kuo, Yi-Hao Ku, Yu-Seng Chen, Yi-Cheng Huang, You-Jia Chang, Yu-Chen Chiang, Yu-Fan Lu, Ting-Hua Lee, Min-Hung Li, Kai-Shin Wu, Menghao Chen, Yi-Chun Lin, Chun-Liang Lan, Yann-Wen Department of Physics National Taiwan Normal University Taipei Taiwan Taiwan Semiconductor Research Institute National Applied Research Laboratories Hsinchu Taiwan Department of Electrophysics National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Physics National Cheng Kung University Tainan Taiwan School of Physics Huazhong University of Science and Technology Wuhan China Institute of Cellular and Organismic Biology Academia Sinica Taipei Taiwan Department of Mathematics and Physics University of Santo Tomas Manila Philippines Program for Semiconductor Devices Materials and Hetero-integration Graduate School of Advanced Technology National Taiwan University Taipei Taiwan Hsinchu Taiwan Department of Physics National Taiwan University Taipei Taiwan Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States

To develop low-power, non-volatile computing-in-memory device using ferroelectric transistor technologies, ferroelectric channel materials with scaled thicknesses are required. Two-dimensional semiconductors, such as molybdenum disulfide (MoS2), equipped with sliding ferroelectricity could provide an answer. However, achieving switchable electric polarization in epitaxial MoS2 remains challenging due to the absence of mobile domain boundaries. Here we show that polarity-switchable epitaxial rhombohedral-stacked (3R) MoS2 can be used as a ferroelectric channel in ferroelectric memory transistors. We show that a shear transformation can spontaneously occur in 3R MoS2 epilayers, producing heterostructures with stable ferroelectric domains embedded in a highly dislocated and unstable non-ferroelectric matrix. This diffusionless phase transformation process produces mobile screw dislocations that enable collective polarity control of 3R MoS2 via an electric field. Polarization–electric-field measurements reveal a switching field of 0.036 V nm−1 for shear-transformed 3R MoS2. Our sliding ferroelectric transistors are non-volatile memory units with thicknesses of only two atomic layers and exhibit an average memory window of 7 V with an applied voltage of 10 V, retention times greater than 104 seconds and endurance greater than 104 cycles. © 2023, The Author(s), under exclusive licence to Springer Nature Limited.

关键词： Molybdenum disulfide

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YOLOv7-ship: An Efficient Method for Marine Ship Detection Based on Wave Glider 23

YOLOv7-ship: An Efficient Method for Marine Ship Detection B...

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Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition

作者： Xiujun Sun Xudong Zhang Yong Wang Hongqiang Sang Ying Zhou Physical Oceangraphy Laboratory Ocean University of China China Department of Computer Science and Technology Ocean University of China China School of Mechanical Engineering and Tianjin Key Laboratory of Advanced Mechatronic Equipment Technology Tiangong University China Institute for Advanced Ocean Study Ocean University of China China

ISBN: (纸本)9798400707988

Ship detection based on wave gliders plays an important role in tasks such as maritime patrols, target tracking, and maritime traffic control. However, the complex and diverse sea environment, as well as the large differences in the appearance and scale of ships on the sea, have led to traditional detection algorithms experiencing issues such as false detection, missed detection of small targets, and incomplete detection of ship mast areas in ship detection tasks. To alleviate this dilemma, we designed a ship detector named YOLOv7-ship based on YOLOv7-tiny. Firstly, we introduce a parameter-free attention module (SimAM) in the backbone network to search for attention regions in the scene, thereby helping to solve the problem of false detection under complex marine environment interference. Secondly, we designed a mixed upsampling feature fusion method and specifically added a small target detection layer to enhance the detection of small targets. Finally, we introduce Wise-IOU into the loss function, and carry out different gradient gain allocation strategies in stages to solve the problem of incomplete detection of ship mast. The experimental results show that the YOLOv7-ship detector we designed achieves [email protected] 99.4% and 81.1% on the public dataset SeaShips and our wave glider dataset WG-Ships, respectively, while maintaining real-time inference speed and outperforming most mainstream models in performance.

关键词： YOLOv7-tiny attention module ship detection wave glider

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WGAN-GP and LSTM based Prediction Model for Aircraft 4- D Traj ectory

WGAN-GP and LSTM based Prediction Model for Aircraft 4- D Tr...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Lei Zhang Huiping Chen Peiyan Jia Zhihong Tian Xiaojiang Du School of Computer and Information Engineering Henan University Kaifeng China Cyberspace Institute of Advanced Technology Guangdong University Guangzhou China Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken NJ USA

The rapid growth of air traffic flow has brought the airspace capacity close to saturation and, at the same time, has resulted in great stress for air traffic controllers. The 4- D trajectory-based operation system is an important solution to problems in the current civil aviation field. The system mainly relies on accurate 4-D trajectory prediction technology to share trajectory information among air traffic control, airlines, and aircraft to achieve coordinated decision-making between flight and control. However, due to the complexity of trajectory data processing, the current 4-D trajectory prediction technology cannot meet actual needs. Therefore, a data generation and prediction network model (DGPNM) is proposed. It integrates the Wasserstein generative adversarial networks with gradient penalty (WGAN-GP) and long-short-term memory (LSTM) neu-ral networks. With its outstanding performance, the LSTM neural network is utilized in both the generation module and the prediction module. The proposed model generates plenty of sample data to enlarge the train set, so overfitting could be reduced in the process of LSTM training. Experimental results prove that compared with other classical methods, the altitude prediction accuracy in the proposed model far exceeds that in current research results, which improves the prediction accuracy of the 4- D trajectory.

关键词： Support vector machines Wireless communication Atmospheric modeling Computational modeling Neural networks Predictive models Data models

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Using Stacking Ensemble Learning to Predict Multi-Step Wind Speed Based on Wavelet Transformation, a Two-Steps Feature Selection Method, and Neural Networks

SSRN

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SSRN 2024年

作者： Amirteimoury, Faezeh Memarzadeh, Gholamreza Keynia, Farshid Department of Computer Engineering Islamic Azad University Kerman Branch Kerman Iran Department of Electrical Engineering Faculty of Engineering Vali-e-Asr University of Rafsanjan Rafsanjan Iran Department of Energy Management and Optimization Institute of Science and High Technology and Environmental Sciences Graduate University of Advanced Technology Kerman Iran

Wind energy is gaining attention in power sector. However, the instability of wind speed (WS) negatively affects the incorporation of wind energy into the power grid. Reducing wind power issues requires precise WS forecasting. The current paper introduces an ensemble approach for multi-steps WS forecasting including discrete wavelet transform (DWT) to denoise WS signal and mutual information-interaction gain (MI-IG) to identify the most relevant input features. Moreover, multi-layer perceptron (MLP), bidirectional long short-term memory (BiLSTM), gated recurrent unit (GRU), and convolutional neural network (CNN) are employed to build individual forecasting modules. Finally, stacking ensemble learning combines the outputs from these modules. For the first dataset, the proposed model achieved MSE between 0.05 to 0.59, MAE from 0.19 to 0.6, MAPE from 5.97% to 21.94% and R2 from 0.985 to 0.852 for one-hour ahead to five-hours ahead. © 2024, The Authors. All rights reserved.

关键词： Wind power

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Excitation protocols for nonlinear phononics in bismuth and antimony

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Physical Review Materials 2024年第1期8卷 015202-015202页

作者： Anubhab Haldar Zhengjie Huang Xuedan Ma Pierre Darancet Sahar Sharifzadeh Department of Electrical and Computer Engineering Boston University Boston Massachusetts 02215 USA Center for Nanoscale Materials Argonne National Laboratory Argonne Illinois 60439 USA Northwestern Argonne Institute of Science and Engineering Evanston Illinois 60208 USA Consortium for Advanced Science and Engineering The University of Chicago Chicago Illinois 60637 USA Division of Materials Science and Engineering Boston University Boston Massachusetts 02215 USA

We study the optical generation and control of coherent phonons in elemental bismuth (Bi) and antimony (Sb) using a classical equation of motion informed by first-principles calculations of the potential energy surface and the frequency-dependent macroscopic dielectric function along the zone-centered optical phonon coordinates. Using this approach, we demonstrate that phonons with the largest optomechanical couplings also have the strongest degree of anharmonicity among the zone-centered modes, a result of the broken-symmetry structural ground state of Bi and Sb. We show how this anharmonicity, explaining the light-induced phonon softening observed in experiments, prevents the application of standard phonon-amplification and annihilation protocols. We introduce a simple linearization protocol that extends the use of such protocols to the case of anharmonic phonons in broken-symmetry materials, and demonstrate its efficiency at high displacement amplitudes. Our formalism and results provide a path for improving optical control in nonlinear phononics.

关键词： First-principles calculations Optical phonons Optoelectronics

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Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving

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IEEE Transactions on Intelligent Transportation Systems 2025年

作者： Kou, Wei-Bin Lin, Qingfeng Tang, Ming Ye, Rongguang Wang, Shuai Zhu, Guangxu Wu, Yik-Chung The University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong Hong Kong Southern University of Science and Technology Department of Computer Science and Engineering Shenzhen518055 China Chinese Academy of Sciences Shenzhen Institute of Advanced Technology Shenzhen518055 China Shenzhen International Center for Industrial and Applied Mathematics Shenzhen Research Institute of Big Data Shenzhen518172 China

Street Scene Semantic Understanding (denoted as TriSU) is a complex task for autonomous driving (AD). However, inference model trained from data in a particular geographical region faces poor generalization when applied in other regions due to inter-city data domain-shift. Hierarchical Federated Learning (HFL) offers a potential solution for improving TriSU model generalization by collaborative privacy-preserving training over distributed datasets from different cities. Unfortunately, it suffers from slow convergence because the data from different cities are with disparate statistical properties. Going beyond existing HFL methods, we propose a Gaussian heterogeneous HFL algorithm (FedGau) to address inter-city data heterogeneity so that convergence can be accelerated. In the proposed FedGau algorithm, both single RGB image and RGB dataset are modelled as Gaussian distributions for aggregation weight design. This approach not only differentiates each RGB image by respective statistical distribution, but also exploits the statistics of dataset from each city in addition to the conventionally considered data volume. With the proposed approach, the convergence is accelerated by 35.5%-40.6% compared to existing state-of-the-art (SOTA) HFL methods. On the other hand, to reduce the involved communication resource, we further introduce a novel performance-aware adaptive resource scheduling (AdapRS) policy. Unlike the traditional static resource scheduling policy that exchanges a fixed number of models between two adjacent aggregations, AdapRS adjusts the number of model aggregation at different levels of HFL so that unnecessary communications are minimized. Extensive experiments demonstrate that AdapRS saves 29.65% communication overhead compared to conventional static resource scheduling policy while maintaining almost the same performance. © 2000-2011 IEEE.

关键词： Gaussian distribution

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High-performance polarization management devices based on thin-film lithium niobate

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Light(Science & Applications) 2022年第5期11卷 868-876页

作者： Zhongjin Lin Yanmei Lin Hao Li Mengyue Xu Mingbo He Wei Ke Heyun Tan Ya Han Zhaohui Li Dawei Wang X.Steve Yao Songnian Fu Siyuan Yu Xinlun Cai State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information TechnologySun Yat-sen University510275 GuangzhouChina Department of Electrical and Computer Engineering The University of British ColumbiaVancouverBC V6T 1Z4Canada Photonics Information Innovation Center and Hebei Provincial Center for Optical Sensing Innovations College of Physics Science and TechnologyHebei University071002 BaodingChina Institute of Advanced Photonics Technology School of Information EngineeringGuangdong University of Technology510006 GuangzhouChina

High-speed polarization management is highly desirable for many applications,such as remote sensing,telecommunication,and medical ***,most of the approaches for polarization management rely on bulky optical components that are slow to respond,cumbersome to use,and sometimes with high drive ***,we overcome these limitations by harnessing photonic integrated circuits based on thin-film lithium niobate *** successfully realize a portfolio of thin-film lithium niobate devices for essential polarization management functionalities,including arbitrary polarization generation,fast polarization measurement,polarization scrambling,and automatic polarization *** present devices feature ultra-fast control speeds,low drive voltages,low optical losses and compact *** these devices,we achieve high fidelity polarization generation with a polarization extinction ratio up to 41.9 dB and fast polarization scrambling with a scrambling rate up to 65 Mrad s−1,both of which are best results in integrated *** also demonstrate the endless polarization state tracking operation in our *** demonstrated devices unlock a drastically new level of performance and scales in polarization management devices,leading to a paradigm shift in polarization management.

关键词： polarization lithium film

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