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arXiv 2022年

作者： Leitinger, Erik Venus, Alexander Teague, Bryan Meyer, Florian The Signal Processing and Speech Communication Laboratory Graz University of Technology Graz Austria The Christian Doppler Laboratory for Location-aware Electronic Systems Austria The MIT Lincoln Laboratory LexingtonMA United States The Department of Electrical and Computer Engineering and Scripps Institution of Oceanography University of California San Diego San DiegoCA United States

Multipath-based simultaneous localization and mapping (SLAM) is an emerging paradigm for accurate indoor localization constrained by limited navigation resources. The goal of multipath-based SLAM is to support the estimation of time-varying positions of mobile agents by detecting and localizing radio-reflective surfaces in the environment. In existing Bayesian methods, a propagation surface is represented by the mirror image of each physical anchor (PA) across that surface – known as the corresponding "virtual anchor" (VA). Due to this VAs representation, each propagation path is mapped individually. Existing methods thus neglect inherent geometrical constraints across different paths that interact with the same surface, which limits accuracy and speed. In this paper, we introduce an improved statistical model and estimation method that enables data fusion in multipath-based SLAM. By directly representing each surface with a master virtual anchor (MVA), geometrical constraints across propagation paths are also modeled statistically. A key aspect of the proposed method based on MVAs is to check the availability of single-bounce and double-bounce propagation paths at potential agent positions by means of ray-tracing (RT). This availability check is directly integrated into the statistical model as detection probabilities for propagation paths. Estimation is performed by a sum-product algorithm (SPA) derived based on the factor graph that represents the new statistical model. Numerical results based on simulated and real data demonstrate significant improvements in estimation accuracy compared to state-of-the-art multipath-based SLAM methods. © 2022, CC BY.

关键词： Mobile agents

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Observation of disorder-free localization and efficient disorder averaging on a quantum processor

arXiv

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arXiv 2024年

作者： Gyawali, G. Cochran, T. Lensky, Y.D. Rosenberg, E. Karamlou, A.H. Kechedzhi, K. Berndtsson, J. Westerhout, T. Asfaw, A. Abanin, D. Acharya, R. Aghababaie Beni, L. Andersen, T.I. Ansmann, M. Arute, F. Arya, K. Astrakhantsev, N. Atalaya, J. Babbush, R. Ballard, B. Bardin, J. Bengtsson, A. Bilmes, A. Bortoli, G. Bourassa, A. Bovaird, J. Brill, L. Broughton, M. Browne, D. Buchea, B. Buckley, B. Buell, D. Burger, T. Burkett, B. Bushnell, N. Cabrera, A. Campero, J. Chang, H.-S. Chen, Z. Chiaro, B. Claes, J. Cleland, A. Cogan, J. Collins, R. Conner, P. Courtney, W. Crook, A.L. Das, S. Debroy, D.M. Del Toro Barba, A. Demura, S. De Lorenzo, L. Di Paolo, A. Donohoe, P. Drozdov, I. Dunsworth, A. Earle, C. Eickbusch, A. Elbag, A. Elzouka, M. Erickson, C. Faoro, L. Fatemi, R. Ferreira, V. Flores Burgos, L. Forati, E. Fowler, A. Foxen, B. Ganjam, S. Gasca, R. Giang, W. Gidney, C. Gilboa, D. Gosula, R. Grajales Dau, A. Graumann, D. Greene, A. Gross, J. Habegger, S. Hamilton, M. Hansen, M. Harrigan, M. Harrington, S. Heslin, S. Heu, P. Hill, G. Hilton, J. Hoffmann, M. Huang, H.-Y. Huff, A. Huggins, W.J. Ioffe, L.B. Isakov, S.V. Jeffrey, E. Jiang, Z. Jones, C. Jordan, S. Joshi, C. Juhas, P. Kafri, D. Kang, H. Khaire, T. Khattar, T. Khezri, M. Kieferová, M. Kim, S. Klimov, P. Klots, A. Kobrin, B. Korotkov, A. Kostritsa, F. Kreikebaum, J. Kurilovich, V. Landhuis, D. Langley, B. Laptev, P. Lau, K.-M. Ledford, J. Lee, J. Lee, K. Lester, B. Le Guevel, L. Li, W. Lill, A. Liu, W. Livingston, W. Locharla, A. Lundahl, D. Lunt, A. Madhuk, S. Maloney, A. Mandrà, S. Martin, L. Martin, S. Martin, O. Maxfield, C. McClean, J. McEwen, M. Meeks, S. Megrant, A. Mi, X. Miao, K. Mieszala, A. Molina, S. Montazeri, S. Morvan, A. Movassagh, R. Neill, C. Nersisyan, A. Newman, M. Nguyen, A. Nguyen, M. Ni, C.-H. Ottosson, K. Pizzuto, A. Potter, R. Pritchard, O. Pryadko, L. Quintana, C. Reagor, M. Rhodes, D. Roberts, G. Rocque, C. Rubin, N. Saei, N. Google Research Mountain ViewCA United States Department of Physics Cornell University IthacaNY United States Laboratory of Solid State and Atomic Physics Cornell University IthacaNY United States Department of Physics Princeton University PrincetonNJ United States Institute of Molecules and Materials Radboud University Nijmegen Netherlands Department of Electrical and Computer Engineering University of Massachusetts AmherstMA United States Department of Physics University of Connecticut StorrsCT United States Department of Electrical and Computer Engineering Auburn University AuburnAL United States QSI Faculty of Engineering & Information Technology University of Technology Sydney NSW Australia Department of Electrical and Computer Engineering University of California RiversideCA United States Department of Chemistry and Chemical Biology Harvard University United States Department of Physics and Astronomy University of California RiversideCA United States Laboratory of Theoretical Physics and Modelling CY Cergy Paris Universite UMR CNRS 8089 Pontoise Cergy-Pontoise Cedex France Technical University of Munich TUM School of Natural Sciences Physics Department TQM Garching Germany Munich Germany Blackett Laboratory Imperial College London LondonSW7 2AZ United Kingdom Max Planck Institute of Quantum Optics Garching Germany Department of Physics Arnold Sommerfeld Center for Theoretical Physics Ludwig Maximilian University of Munich Munich Germany Max Planck Institute for the Physics of Complex Systems Dresden Germany

One of the most challenging problems in the computational study of localization in quantum many-body systems is to capture the effects of rare events, which requires sampling over exponentially many disorder realizations. We implement an efficient procedure on a quantum processor, leveraging quantum parallelism, to efficiently sample over all disorder realizations. We observe localization without disorder in quantum many-body dynamics in one and two dimensions: perturbations do not diffuse even though both the generator of evolution and the initial states are fully translationally invariant. The disorder strength as well as its density can be readily tuned using the initial state. Furthermore, we demonstrate the versatility of our platform by measuring Rényi entropies. Our method could also be extended to higher moments of the physical observables and disorder learning. © 2024, CC BY.

关键词： Quantum electronics

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Recent Advancements in Solid State Transformer-based EV Fast Charging Stations

Recent Advancements in Solid State Transformer-based EV Fast...

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International Conference on Power Electronics and Drive systems (PEDS)

作者： Ruvini De Seram Anindita Golder Sheldon S. Williamson Smart Transportation Electrification and Energy Research (STEER) Group Ontario Tech University Oshawa ON Canada Advanced Storage Systems and Electric Transportation (ASSET) Laboratory Ontario Tech University Oshawa ON Canada Ontario Tech-Automotive Center of Excellence (ACE) Ontario Tech University Oshawa ON Canada Department of Electrical and Computer Engineering Faculty of Engineering and Applied Science Ontario Tech University Oshawa ON Canada

Growing deployments of ultra fast charging stations (XFCS) are putting a stress on the existing line-frequency transformer (LFT)-based medium voltage (MV) grid due to the high charging demands of exponentially growing electric vehicles (EV). The conventional LFT occupies a large space in the XFCS installation which introduces challenges in facilitating the XFCS infrastructure. As a result, solid-state transformer (SST)-based XFCS are being developed which can be directly connected to the MV grid and several advantages over LFT-based systems such as compactness, intelligence and availability of the DC link to connect renewable energy sources and storage system can be realized. As such, a detailed analysis of current developments in SST-based XFCS is presented and compared with one another in this paper. The challenges associated with the configurations are examined and direction for future research is identified.

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DeepVID: A Self-supervised Deep Learning Framework for Two-photon Voltage Imaging Denoising

DeepVID: A Self-supervised Deep Learning Framework for Two-p...

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Optics and the Brain, BRAIN 2022

作者： Liu, Chang Platisa, Jelena Ye, Xin Ahrens, Allison M. Chen, Ichun Anderson Davison, Ian G. Pieribone, Vincent A. Chen, Jerry L. Tian, Lei Department of Electrical and Computer Engineering Boston University BostonMA02215 United States Department of Biomedical Engineering Boston University BostonMA02215 United States Department of Cellular and Molecular Physiology Yale University New HavenCT06520 United States Department of Neuroscience Yale University New HavenCT06520 United States The John B. Pierce Laboratory New HavenCT06520 United States Center for Neurophotonics Boston University BostonMA02215 United States Department of Biology Boston University BostonMA02215 United States Center for Systems Neuroscience Boston University BostonMA02215 United States

High-speed population-level voltage imaging is suffered from the shot noise limit. We developed a self-supervised deep learning framework for voltage imaging denoising (DeepVID) without the need for any ground-truth h... 详细信息

ISBN: (纸本)9781957171036

关键词： Shot noise

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Analysis of Negative Capacitance MOSFETs Characteristic with Spacer

Analysis of Negative Capacitance MOSFETs Characteristic with...

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2020 International Symposium on VLSI Technology, systems and Applications, VLSI-TSA 2020

作者： Lee, Yu-Chun Kola, Sekhar Reddy Chen, Chieh-Yang Chuang, Min-Hui Li, Yiming Parallel and Scientific Computing Laboratory Institute of Biomedical Engineering Institute of Communications Engineering Eecs International Graduate Program Department of Electrical and Computer Engineering Center for MmWave Smart Radar System and Technologies National Chiao Tung University 1001 Ta-Hsueh Rd Hsinchu300 Taiwan

ISBN: (纸本)9781728142326

In this work, our study comprises of design and investigation on negative capacitance (NC), metal-oxide-semiconductor (MOS) field effects transistors (MOSFETs) with spacer and source/drain (S/D) overlap engineering. The scope of the work is to boost the performance and high-energy efficiency of the studied NC-MOSFETs by using the ferro electric material (FE). The NC-MOSFETs with the spacer technology can achieve the admirable Ion/Ioff ratio and subthreshold swing (SS), compared with planar MOSFETs. It makes device scaling possible by eliminating the short channel effect (SCE). We further estimated the effect of FE thickness and spacer, which are another critical parameter of obtaining better electrical characteristics and reducing SS. © 2020 IEEE.

关键词： Capacitance

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Scalable perception-action-communication loops with convolutional and graph neural networks

arXiv

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arXiv 2021年

作者： Hu, Ting-Kuei Gama, Fernando Chen, Tianlong Zheng, Wenqing Wang, Zhangyang Ribeiro, Alejandro Sadler, Brian M. Department of Computer Science and Engineering Texas A&M University College StationTX77843 United States Department of Computer and Electrical Engineering Rice University HoustonTX77005 United States Department of Electrical and Computer Engineering The University of Texas at Austin AustinTX78712 United States Department of Electrical and Systems Engineering The University of Pennsylvania PhiladelphiaPA19104 United States US Army Research Laboratory AdelphiMD20783 United States

In this paper, we present a perception-action-communication loop design using Vision-based Graph Aggregation and Inference (VGAI). This multi-agent decentralized learning-to-control framework maps raw visual observations to agent actions, aided by local communication among neighboring agents. Our framework is implemented by a cascade of a convolutional and a graph neural network (CNN / GNN), addressing agent-level visual perception and feature learning, as well as swarm-level communication, local information aggregation and agent action inference, respectively. By jointly training the CNN and GNN, image features and communication messages are learned in conjunction to better address the specific task. We use imitation learning to train the VGAI controller in an offline phase, relying on a centralized expert controller. This results in a learned VGAI controller that can be deployed in a distributed manner for online execution. Additionally, the controller exhibits good scaling properties, with training in smaller teams and application in larger teams. Through a multiagent flocking application, we demonstrate that VGAI yields performance comparable to or better than other decentralized controllers, using only the visual input modality and without accessing precise location or motion state information. Copyright © 2021, The Authors. All rights reserved.

关键词： Graph neural networks

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Communication Compression for Distributed Nonconvex Optimization

arXiv

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arXiv 2022年

作者： Yi, Xinlei Zhang, Shengjun Yang, Tao Chai, Tianyou Johansson, Karl H. Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Digital Futures Stockholm100 44 Sweden Department of Electrical Engineering University of North Texas DentonTX76203 United States State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China

This paper considers distributed nonconvex optimization with the cost functions being distributed over agents. Noting that information compression is a key tool to reduce the heavy communication load for distributed algorithms as agents iteratively communicate with neighbors, we propose three distributed primal–dual algorithms with compressed communication. The first two algorithms are applicable to a general class of compressors with bounded relative compression error and the third algorithm is suitable for two general classes of compressors with bounded absolute compression error. We show that the proposed distributed algorithms with compressed communication have comparable convergence properties as state-of-the-art algorithms with exact communication. Specifically, we show that they can find first-order stationary points with sublinear convergence rate O(1/T) when each local cost function is smooth, where T is the total number of iterations, and find global optima with linear convergence rate under an additional condition that the global cost function satisfies the Polyak–Lojasiewicz condition. Numerical simulations are provided to illustrate the effectiveness of the theoretical results. Copyright © 2022, The Authors. All rights reserved.

关键词： Iterative methods

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Integration of small pumped storage hydropower units in water distribution system operation

Integration of small pumped storage hydropower units in wate...

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2020 IEEE Power and Energy Society General Meeting, PESGM 2020

作者： Majidi, Majid Rodriguez-Garcia, Luis Parvania, Masood Mosier, Thomas M. University of Utah Department of Electrical and Computer Engineering Salt Lake CityUT84112 United States Idaho National Laboratory Power and Energy Systems Department Idaho FallsID83402 United States

ISBN: (纸本)9781728155081

Pumped-storage hydropower (PSH) is a proven energy storage technology that can provide large capacity support to the bulk power system. PSH is also a promising technology to increase energy storage capabilities of water distribution systems (WDSs), because these systems have most components necessary for supporting PSH, including a water supply, conduit, pumps, and water storage capacity. PSH must be sized to the water infrastructure that the energy storage will be integrated with, but generally these PSH applications are significantly smaller than traditional PSH units. This paper develops an optimization framework for integration of small PSH units in WDS operation to minimize operating costs associated with power and water consumption in WDS. The proposed model takes into account the hydraulic constraints of WDS and provides optimal operating strategies from an economic perspective based on available units in WDS (e.g., the hydropower generator, variable speed water pumps, and utilization of water storage capacity). The proposed model is applied to a 16-node test WDS using two cases that differ in terms of PSH design to demonstrate the merits of the proposed model. The results provide insight into improved operations for the test system. They also provide the basis for improving operations of more complex WDS systems, including enabling evaluation of PSH design and integration. © 2020 IEEE.

关键词： Water supply

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Enhancement of pulsed laser ablation assisted with continuous wave laser irradiation

引用

Science China(Physics,Mechanics & Astronomy) 2019年第3期62卷 66-74页

作者： Ye Ding LiJun Yang MingHui Hong Key Laboratory of Micro-systems and Micro-structures Manufacturing Ministry of Education Harbin Institute of Technology Department of Electrical and Computer Engineering National University of Singapore School of Mechatronics Engineering Harbin Institute of Technology

Continuous wave(CW) laser irradiation is employed to enhance the pulsed laser ablation of silicon and stainless steel(316 L)samples. Different surface temperatures generated by the CW laser irradiation are set as the initial working circumstance for the pulsed laser ablation. The diameter and depth of laser-ablated craters are measured to study threshold fluence, pulse incubation coefficient and ablation rate under different surface temperatures. Numerical simulation employing Heat Transfer in Solid and Deformed Geometry Interface modules in COMSOL is performed to estimate ablation rate theoretically based on Hertz-Knudsen equation. The realized crater-related data are analyzed to further obtain their dependences on surface temperature. The parametric and morphological studies indicate that the weakened plasma shielding effect and thermal diffusion in the ablated region induced by the CW laser irradiation lead to the enhanced pulsed laser ablation significantly.

关键词： enhanced pulsed laser ablation CW laser irradiation Hertz-Knudsen equation parametric and morphological studies

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Event-triggered Observability: A Set-membership Perspective

arXiv

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arXiv 2022年

作者： Zheng, Kaikai Shi, Dawei Chen, Tongwen State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 1H9 Canada

This work attempts to discuss the observability of linear time-invariant systems with event-triggered measurements. A new notion of observability, namely, ǫ-observability is defined with parameter ǫ, which relates to the worst-case performance of inferring the initial state based on not only the received measurement but also the implicit information in the event-triggering conditions at no-event instants. A criterion is developed to test the proposed ǫ-observability of discrete-time linear systems, based on which an iterative event-triggered set-membership observer is designed to evaluate a set containing all possible values of the state. The proposed set-membership observer is designed as the outer approximation of the ellipsoids predicted based on previous state estimates and the ellipsoids inferred by fusing the received measurement and communication conditions, which is optimal in the sense of trace at each step and is proved to be asymptotically bounded. The efficiency of the proposed event-triggered set-membership state observer is verified by numerical experiments. © 2022, CC BY.

关键词： State estimation

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