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The Journal of Machine Learning research 2024年第1期25卷 15100-15142页

作者： Ashwin Pananjady Vidya Muthukumar Andrew Thangaraj Schools of industrial and systems engineering and electrical and computer engineering georgia institute of technology atlanta Schools of Electrical and Computer Engineering and Industrial and Systems Engineering Georgia Institute of Technology Atlanta Department of Electrical Engineering Indian Institute of Technology Madras Chennai India

We study the problem of estimating the stationary mass--also called the unigram mass-- that is missing from a single trajectory of a discrete-time, ergodic Markov chain. This problem has several applications--for example, estimating the stationary missing mass is critical for accurately smoothing probability estimates in sequence models. While the classical Good-Turing estimator from the 1950s has appealing properties for i.i.d. data, it is known to be biased in the Markovian setting, and other heuristic estimators do not come equipped with guarantees. Operating in the general setting in which the size of the state space may be much larger than the length n of the trajectory, we develop a linear-runtime estimator called Windowed Good-Turing (WINGIT) and show that its risk decays as Õ(Tmix/n), where Tmix denotes the mixing time of the chain in total variation distance. Notably, this rate is independent of the size of the state space and minimax-optimal up to a logarithmic factor in n/Tmix. We also present an upper bound on the variance of the missing mass random variable, which may be of independent interest. We extend our estimator to approximate the stationary mass placed on elements occurring with small frequency in the trajectory. Finally, we demonstrate the efficacy of our estimators both in simulations on canonical chains and on sequences constructed from natural language text.

关键词： missing mass good-turing Markov chains minimax optimal

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Mutual Inductance Extraction and Power Allocation of a Planar Omnidirectional WPT System

Mutual Inductance Extraction and Power Allocation of a Plana...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Yu, Xipei Feng, Junjie Zhu, Liyan Li, Qiang Virginia Polytechnic Institute and State University Center for Power Electronics Systems The Bradley Department of Electrical and Computer Engineering Blacksburg United States

ISBN: (纸本)9798350376067

In recent times, planar omnidirectional wireless power transfer has emerged as a prominent technology, especially in consumer electronics application. However, in such scenario, the presence of multiple receivers with angular misalignment often results in unstable operation due to variations in mutual inductance. To address this challenge, this article undertakes the modelling of several receiver coils and proposes a method to extract mutual inductance between them utilizing additional DC/DC converters. This extraction process serves to mitigate these effects, thereby enabling effective power allocation among multiple receivers Finally, the experimental validation is conducted. at 6.78MHz. When charging the mobile phone and electronic watch receivers, the overall efficiency is 68%-77% and 56%-66%, considering the orientation and angular misalignment. © 2024 IEEE.

关键词： Inductive power transmission

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Enhancing 3D Modeling Quality Through Orthorectified Image Accumulation

Enhancing 3D Modeling Quality Through Orthorectified Image A...

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2025 International Conference on Electronics, Information, and Communication, ICEIC 2025

作者： Kwag, Cheolsu Kim, Euntaek Lee, Yongsuk Jung, Seungmin Hwang, Sung Soo Ryu, Hwangryol Moon, Youngmin Handong Global University Dept. of Computer Science and Electrical Engineering Pohang Korea Republic of School of Computer Science and Electrical Engineering Handong Global University Pohang Korea Republic of Research Institute of Industrial Science and Technology Smart Engineering Research Laboratory Pohang Korea Republic of

ISBN: (纸本)9798331510756

This study introduces a novel methodology designed to facilitate the capture of comprehensive image datasets, crucial for accurate 3D modeling of expansive indoor spaces. Leveraging orthophotos generated from panoramic camera data and visualizing image coverage density through heatmaps, our approach effectively identifies under-captured and unvisited areas. This enables targeted image acquisition, minimizes redundant reshoots, and enhances the overall quality and fidelity of 3D models. © 2025 IEEE.

关键词： Digital elevation model

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Phaseless Multi-Static Synthetic Aperture Radar Imaging

Phaseless Multi-Static Synthetic Aperture Radar Imaging

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2024 IEEE Conference on Computational Imaging Using Synthetic Apertures, CISA 2024

作者： Yonel, Bariscan Choudhury, Nazia Afroz Yazici, Birsen Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute 110 8th Street TroyNY12180 United States

ISBN: (纸本)9798350308648

Conventional synthetic aperture radar (SAR) relies on coherent phase information throughout the data collection process for image reconstruction. In this paper, we present a technique for phaseless SAR imaging using a multi-static configuration' and stochastic waveforms. To reconstruct the SAR images, we employ the Wirtinger flow (WF), a non-convex optimization method. We perform numerical simulations to evaluate the performance of the WF algorithm using our proposed illumination technique. The simulation results demonstrate near-exact recovery with a limited number of resources, in terms of the number of transmitters and receivers. Hence, our proposed imaging technique has applications for realistic phaseless SAR scenarios. We compare the performance of our algorithm with that of the linear reconstruction algorithm used for phaseless radar coincidence imaging. © 2024 IEEE.

关键词： Synthetic aperture radar

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Control and Stability of Large-scale Power System with Highly Distributed Renewable Energy Generation:Viewpoints from Six Aspects

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CSEE Journal of Power and Energy systems 2023年第1期9卷 8-14页

作者： Qing-Hua Wu Anjan Bose Chanan Singh Joe H.Chow Gang Mu Yuanzhang Sun Zhaoxi Liu Zhigang Li Yang Liu School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China School of Electrical Engineering&Computer Science Washington State UniversityPullmanWA 99164USA Department of Electrical and Computer Engineering Texas A&M UniversityCollege StationTX 77843USA Department of Electrical Computer and Systems EngineeringRensselaer Polytechnic Institute(RPI)TroyNYUSA Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China

Power systems are moving toward a low-carbon or carbon-neutral future where high penetration of renewables is *** conventional fossil-fueled synchronous generators in the transmission network being replaced by renewable energy generation which is highly distributed across the entire grid,new challenges are emerging to the control and stability of large-scale power *** analysis and control methods are needed for power systems to cope with the ongoing *** the CSEE JPES forum,six leading experts were invited to deliver keynote speeches,and the participating researchers and professionals had extensive exchanges and discussions on the control and stability of power ***,potential changes and challenges of power systems with high penetration of renewable energy generation were introduced and explained,and advanced control methods were proposed and analyzed for the transient stability enhancement of power grids.

关键词： Distributed energy resources high converter penetration power system control renewable energy generation stability control transient stability

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On final opinions of the Friedkin-Johnsen model over random graphs with partially stubborn community 63

On final opinions of the Friedkin-Johnsen model over random ...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Wang, Lingfei Xing, Yu Johansson, Karl H. Kth Royal Institute of Technology and with Digital Futures Division of Decision and Control Systems School of Electrical Engineering and Computer Science Stockholm Sweden

ISBN: (纸本)9798350316339

This paper studies the formation of final opinions for the Friedkin-Johnsen (FJ) model with a community of partially stubborn agents. The underlying network of the FJ model is symmetric and generated from a random graph model, in which each link is added independently from a Bernoulli distribution. It is shown that the final opinions of the FJ model will concentrate around those of an FJ model over the expected graph as the network size grows, on the condition that the stubborn agents are well connected to other agents. Probability bounds are proposed for the distance between these two final opinion vectors, respectively for the cases where there exist non-stubborn agents or not. Numerical experiments are provided to illustrate the theoretical findings. The simulation shows that, in presence of non-stubborn agents, the link probability between the stubborn and the non-stubborn communities affect the distance between the two final opinion vectors significantly. Additionally, if all agents are stubborn, the opinion distance decreases with the agent stubbornness. © 2024 IEEE.

关键词： Graph theory

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Ultrasonic-based Passenger Boarding Determination System for Trams

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Journal of institute of Control, Robotics and systems 2023年第4期29卷 308-313页

作者： Lee, Seung-Cheol Kwak, Jae-Ho Hwang, Hyeon-Chyeol Department of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of Advanced Railroad Vehicle Division Korea Railroad Research Institute Korea Republic of Smart Tram Research Department Korea Railroad Research Institute Korea Republic of

In this paper, a system that can determine whether a passenger is on the tram by using only the ultrasonic generator inside the tram vehicle and the built-in microphone of the smartphone was proposed. Due to the probabilistic uncertainty of radio waves, determining whether a passenger is on the tram by using existing local wireless communication methods (e.g., WI-FI and BLE) is difficult when a passenger is near the boundary between the interior and exterior of the vehicle. To overcome this problem, in this study, ultrasonic signal, which has excellent shielding property between obstacles or barriers, was used to determine the interior or exterior of the vehicle. The door of the vehicle is closed, and the indoor ultrasonic generator emits ultrasonic waves of a specific frequency only under certain driving conditions. We developed a smartphone app based on the discrete Fourier transform algorithm to determine whether a passenger is on the tram. We installed the system on a tram of the Osong Tram Test Line and evaluated its effectiveness. © ICROS 2023.

关键词： Smartphones

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State-of-health estimation for fast-charging lithium-ion batteries based on a short charge curve using graph convolutional and long short-term memory networks

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Journal of Energy Chemistry 2024年第11期98卷 1-11页

作者： Yvxin He Zhongwei Deng Jue Chen Weihan Li Jingjing Zhou Fei Xiang Xiaosong Hu School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu 611731SichuanChina College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing 400044China Chair for Electrochemical Energy Conversion and Storage Systems Institute for Power Electronics and Electrical Drives(ISEA)RWTH Aachen UniversityAachen 52074Germany Center for Ageing Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems(CARL)RWTH Aachen UniversityAachen 52074Germany China Automotive Engineering Research Institute Co.Ltd. Chongqing 401122China

A fast-charging policy is widely employed to alleviate the inconvenience caused by the extended charging time of electric vehicles. However, fast charging exacerbates battery degradation and shortens battery lifespan. In addition, there is still a lack of tailored health estimations for fast-charging batteries;most existing methods are applicable at lower charging rates. This paper proposes a novel method for estimating the health of lithium-ion batteries, which is tailored for multi-stage constant current-constant voltage fast-charging policies. Initially, short charging segments are extracted by monitoring current switches,followed by deriving voltage sequences using interpolation techniques. Subsequently, a graph generation layer is used to transform the voltage sequence into graphical data. Furthermore, the integration of a graph convolution network with a long short-term memory network enables the extraction of information related to inter-node message transmission, capturing the key local and temporal features during the battery degradation process. Finally, this method is confirmed by utilizing aging data from 185 cells and 81 distinct fast-charging policies. The 4-minute charging duration achieves a balance between high accuracy in estimating battery state of health and low data requirements, with mean absolute errors and root mean square errors of 0.34% and 0.66%, respectively.

关键词： Lithium-ion battery State of health estimation Feature extraction Graph convolutional network Long short-term memory network

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On large-signal modeling of GaN HEMTs: past, development and future

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Chip 2023年第3期2卷 20-31页

作者： Haorui Luo Wenrui Hu Yongxin Guo Department of Electrical and Computer Engineering National University of SingaporeSingapore 117576Singapore National University of Singapore(Suzhou)Research Institute Suzhou 215123China

In the past few decades,circuits based on gallium nitride high elec-tron mobility transistor(GaN HEMT)have demonstrated exceptional potential in a wide range of high-power and high-frequency applica-tions,such as the new generation mobile communications,object de-tection and consumer electronics,*** a critical intermediary be-tween GaN HEMT devices and circuit-level applications,GaN HEMT large-signal models play a pivotal role in the design,application and development of GaN HEMT devices and *** review pro-vides an in-depth examination of the advancements in GaN HEMT large-signal modeling in recent *** and comprehensive coverage of various aspects of GaN HEMT large-signal model was of-fered,including large-signal measurement setups,classical formula-tion methods,model classification and non-ideal effects,*** order to better serve follow-up researches,this review also explored poten-tial future directions for the development of GaN HEMT large-signal modeling.

关键词： Gallium nitride High electron mobility transistors Large-signal model

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Coupling Mobile Brain Imaging and Virtual Reality Omnidirectional Treadmill to Explore Attenuated Situational Awareness during Distracted Walking

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IEEE Transactions on Cognitive and Developmental systems 2024年第3期16卷 1063-1076页

作者： Chuang, Chun-Hsiang Chiu, Tsai-Feng Hsu, Hao-Che Lin, Shih-Syun National Tsing Hua University Research Center for Education and Mind Sciences College of Education The Institute of Information Systems and Applications College of Electrical Engineering and Computer Science Hsinchu300 Taiwan National Tsing Hua University Research Center for Education and Mind Sciences Hsinchu300 Taiwan National Yang Ming Chiao Tung University Department of Computer Science Hsinchu300193 Taiwan National Taiwan Ocean University Department of Computer Science and Engineering Keelung20224 Taiwan

Walking while engaging in distracting activities affects our perception of changes happening on the road, leading to exposure to hazardous conditions. This study aimed to evidence that pedestrians who become distracted when absorbed in their smartphones fail to maintain situational awareness. Thirty-six recruited participants performed a psychomotor vigilance task and a wayfinding task designed to simulate a multitasking scenario;meanwhile, an auditory oddball paradigm presented to participants tested their situational awareness of an external stimulus. The experiment was conducted in virtual reality (VR) environment with an omnidirectional treadmill. Participant's behavioral and electroencephalographic (EEG) responses were measured and analyzed using a newly proposed brain network measure, phase locking distance (PLD), to capture multitasking-associated couplings between brain regions. The current study supports the notion that multitasking can lead to diminished behavioral performance and changes in walking patterns. Despite the increased interregional brain connectivity, which may be an adaptive response to heightened cognitive demands, the associated reduction in event-related EEG activity suggests competition for neural resources during multitasking. Moreover, the observed EEG activities could indicate additional information processing capacity limitations and provide evidence of decreased situational awareness during multitasking, thereby increasing susceptibility to potentially hazardous situations. © 2016 IEEE.

关键词： Electroencephalography

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