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Annual Conference on Information Sciences and Systems (CISS)

作者： Muriel Médard Ken R. Duffy Research Laboratory for Electronics Massachusetts Institute of Technology Cambridge USA Department of Electrical and Computer Engineering Department of Mathematics Northeastern University Boston USA

In the classic wiretap model, Alice wishes to reliably communicate to Bob without being overheard by Eve who is eavesdropping over a degraded channel. Systems for achieving that physical layer security often rely on an error correction code whose rate is below the Shannon capacity of Alice and Bob's channel, so Bob can reliably decode, but above Alice and Eve's, so Eve cannot reliably decode. For the finite block length regime, several metrics have been proposed to characterise information leakage. Here we reassess a metric, the success exponent, and demonstrate it can be operationalized through the use of Guessing Random Additive Noise Decoding (GRAND) to compromise the physical-layer security of any moderate length code. Success exponents are the natural beyond-capacity analogue of error exponents that characterise the probability that a maximum likelihood decoding is correct when the code-rate is above Shannon capacity, which is exponentially decaying in the code-length. In the finite blocklength regime, success exponents can be used to approximately evaluate the frequency with which Eve's decoding is correct in beyond-capacity channel conditions. Through the use of GRAND, we demonstrate that Eve can constrain her decoding procedure through a query-number threshold so that when she does identify a decoding, it is correct with high likelihood, significantly compromising Alice and Bob's communication by truthfully revealing a proportion of it. We provide general mathematical expressions for the determination of success exponents in channels that can have temporally correlated noise as well as for the evaluation of Eve's query number threshold, using the binary symmetric channel as a worked example. As GRAND algorithms are code-book agnostic and can decode any code structure, we provide empirical results for Random Linear Codes as exemplars. Simulation results mimic the mathematical predictions, demonstrating the practical possibility of compromising physical layer

关键词： Measurement Simulation Physical layer security Linear codes Prediction algorithms Error correction codes Reliability

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Kinodynamic Motion Planning for a Team of Multirotors Transporting a Cable-Suspended Payload in Cluttered Environments

arXiv

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arXiv 2023年

作者： Wahba, Khaled Ortiz-Haro, Joaquim Toussaint, Marc Hönig, Wolfgang Faculty of Electrical Engineering and Computer Science Technical University of Berlin Berlin Germany Machines in Motion Laboratory New York University United States

We propose a motion planner for cable-driven payload transportation using multiple unmanned aerial vehicles (UAVs) in an environment cluttered with obstacles. Our planner is kinodynamic, i.e., it considers the full dynamics model of the transporting system including actuation constraints. Due to the high dimensionality of the planning problem, we use a hierarchical approach where we first solve for the geometric motion using a sampling-based method with a novel sampler, followed by constrained trajectory optimization that considers the full dynamics of the system. Both planning stages consider inter-robot and robot/obstacle collisions. We demonstrate in a software-in-the-loop simulation and real flight experiments that there is a significant benefit in kinodynamic motion planning for such payload transport systems with respect to payload tracking error and energy consumption compared to the standard methods of planning for the payload alone. Notably, we observe a significantly higher success rate in scenarios where the team formation changes are needed to move through tight spaces. Copyright © 2023, The Authors. All rights reserved.

关键词： Constrained optimization

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Narrow Linewidth Semiconductor Lasers from Visible to Infrared Wavelengths

Narrow Linewidth Semiconductor Lasers from Visible to Infrar...

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2022 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2022

作者： Bowers, John E. Chang, Lin Jin, Warren Guo, Joel Xiang, Chao Morin, Ted Li, Bohan Tran, Minh A. Zhang, Chong Wu, Lue Wang, Heming Shen, Boqiang Yuan, Zhiquan Komljenovic, Tin Vahala, Kerry J. University of California Department of Electrical and Computer Engineering Santa BarbaraCA93106 United States T.J. Watson Laboratory of Applied Physics California Institute of Technology PasadenaCA91125 United States

ISBN: (纸本)9781665434898

We review recent breakthroughs of narrow-linewidth semiconductor lasers over broad wavelength range, including record-low fundamental linewidth below 40 mHz by self-injection-locking at infrared, the first fully integrated narrow-linewidth laser below silicon's bandgap wavelength, and an ultra-low loss platform for narrow-linewidth lasers at blue and violet. © 2022 IEEE.

关键词： Semiconductor lasers

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A Belief Propagation Approach for Direct Multipath-Based SLAM

A Belief Propagation Approach for Direct Multipath-Based SLA...

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Asilomar Conference on Signals, Systems & computers

作者： Mingchao Liang Erik Leitinger Florian Meyer Department of Electrical and Computer Engineering University of California San Diego USA Signal Processing and Speech Communication Laboratory Graz University of Technology Austria

In this work, we develop a multipath-based simultaneous localization and mapping (SLAM) method that can directly be applied to received radio signals. In existing multipath-based SLAM approaches, a channel estimator is used as a preprocessing stage that reduces data flow and computational complexity by extracting features related to multipath components (MPCs). We aim to avoid any preprocessing stage that may lead to a loss of relevant information. The presented method relies on a new statistical model for the data generation process of the received radio signal that can be represented by a factor graph. This factor graph is the starting point for the development of an efficient belief propagation (BP) method for multipath-based SLAM that directly uses received radio signals as measurements. Simulation results in a realistic scenario with a single-input single-output (SISO) channel demonstrate that the proposed direct method for radio-based SLAM outperforms state-of-the-art methods that rely on a channel estimator.

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An Optimal Bipolar MVDC Coaxial Power Cable Design for Envisaged All Electric Wide Body Aircraft

An Optimal Bipolar MVDC Coaxial Power Cable Design for Envis...

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Conference on electrical Insulation and Dielectric Phenomena, (CEIDP)

作者： Anoy Saha Arian Azizi Mona Ghassemi Department of Electrical and Computer Engineering Zero Emission Realization of Optimized Energy Systems (ZEROES) Laboratory The University of Texas at Dallas Richardson TX USA

Future generations of electrified aircraft, such as more electric aircraft (MEA) and all-electric aircraft (AEA), will require high-power-delivery and low-system-mass electric power systems (EPS). Designing aircraft cables confronts thermal challenges due to the limited heat transfer by convection at a cruising altitude of 12.2 km (18.8 kPa) for wide-body aircraft. These thermal challenges are exacerbated by implementing bipolar MVDC EPSs which are formed of two adjacent power cables, conventionally. In this regard, coaxial geometry for cables can be evaluated as a solution to this problem. In this paper, a coaxial MVDC power cable is, for the first time, designed with inner and outer conductors carrying the same ampacity of 1000 A when the voltage of the inner and outer conductors is −5 kV and +5 kV, respectively. This design compares the effectiveness of coaxial power cables to the conventional arrangement of bipolar MVDC cable systems. This study will analyze three case studies to determine if a coaxial geometry is better than a conventional arrangement for a bipolar MVDC cable system or not. According to the findings of this study, coaxial cable requires thicker insulation and more conductors to maintain the same maximum electric field norm within cable insulation and ampacity. As a result, coaxial cables result in a greater mass and cross-sectional area than standard bipolar cables. For the envisaged AEA, the investigation in this paper addresses questions about the performance of coaxial geometry for bipolar MVDC power cables.

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Voltage Collapse Owing to Cascading Failures Under Geomagnetic Disturbances in Electromagnetic Transient Perspective

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IEEE Transactions on Power Systems 2025年

作者： Xin, Wen-Kai Liu, Chun-Ming Rezaei-Zare, Afshin Wang, Ze-Zhong North China Electric Power University School of Electrical and Electronic Engineering Beijing102206 China Dalian Jiaotong University School of Electrical Engineering Dalian116028 China Chinese Academy of Sciences State Key Laboratory of Space Weather Beijing100190 China York University Department of Electrical Engineering and Computer Science TorontoONM3J 1P3 Canada

Under severe geomagnetic disturbances (GMDs) caused by intense solar activity, transformers in the power grid will generate groups of massive reactive power losses and harmonic currents. At the same time, harmonic currents can readily cause the mal-operation of relay protection device for reactive power compensation, which puts the power grid in a state of insufficient reactive power, leading to local reactive power imbalances. This may cause cascading failures and even voltage collapse, resulting in a large-scale power blackout. This paper analyzes the mechanism and triggering conditions of cascading failures, proposes the development process of voltage collapse caused by sensitive equipment in the power grid. Based on this, the electromagnetic transient simulation of a four-station eight-node and IEEE 118-GMD grid was used to simulate the voltage collapse owing to cascading failures under GMDs, verifying the correctness of the proposed theory. Further, the occurrence patterns of cascading failures in the power grid during geomagnetic storms were summarized based on the simulation result, and the triggering conditions and influencing factors leading to voltage collapse were identified. This provides guidance for accurately and quickly identifying risk nodes during geomagnetic storms invasion to permit timely disaster prevention measures to avoid voltage collapse under GMDs. © 1969-2012 IEEE.

关键词： Electromagnetic transients

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Anaphor Assisted Document-Level Relation Extraction

arXiv

引用

arXiv 2023年

作者： Lu, Chonggang Zhang, Richong Sun, Kai Kim, Jaein Zhang, Cunwang Mao, Yongyi SKLSDE Beihang University Beijing China Zhongguancun Laboratory Beijing China School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

Document-level relation extraction (DocRE) involves identifying relations between entities distributed in multiple sentences within a document. Existing methods focus on building a heterogeneous document graph to model the internal structure of an entity and the external interaction between entities. However, there are two drawbacks in existing methods. On one hand, anaphor plays an important role in reasoning to identify relations between entities but is ignored by these methods. On the other hand, these methods achieve cross-sentence entity interactions implicitly by utilizing a document or sentences as intermediate nodes. Such an approach has difficulties in learning fine-grained interactions between entities across different sentences, resulting in sub-optimal performance. To address these issues, we propose an Anaphor-Assisted (AA) framework for DocRE tasks. Experimental results on the widely-used datasets demonstrate that our model achieves a new state-of-the-art performance.1 Copyright © 2023, The Authors. All rights reserved.

关键词： Extraction

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ORS-Net: A Ship Detector for SAR Image Based on Oriented R-CNN 23

ORS-Net: A Ship Detector for SAR Image Based on Oriented R-C...

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9th International Conference on Computing and Artificial Intelligence, ICCAI 2023

作者： Liu, Hongning Zhang, Rubo Xie, Mingjie Feng, Pengming He, Guangjun Xu, Guokai College of Electrical and Mechanical Engineering Dalian Minzu University Dalian116600 China College of Computer Science and Technology Harbin Engineering University Harbin150001 China State Key Laboratory of Space-Ground Integrated Information Technology Space Star Technology CO Ltd. Beijing100095 China College of Mechanical Engineering Zhuhai College of Science and Technology Zhuhai519041 China

ISBN: (纸本)9781450399029

Synthetic aperture radar (SAR) is of significance in the field of marine monitoring. SAR collects reflection imaging of marine ship targets to radar beams and records a variety of information such as radiation phase, vibration frequency, and reflection intensity of the target area. Due to the complex sea surface environment, traditional vision methods cannot effectively identify weak ship targets. Deep learning methods, especially two-stage detectors, e.g. Oriented Region Convolution Neural Network (R-CNN) have given solutions to address such challenges, which have shown certain advantages when facing the problem of complex ocean scenes and weak ship targets. However, the presence of a large amount of coherent noise and speckle noise in SAR images makes the two-stage deep learning model approach still deficient in SAR image processing tasks, which leads to the degradation of typical model detection accuracy. In this paper, an enhanced Oriented R-CNN detector, namely ORS-Net, is proposed to balance between high efficiency and high performance, by augmenting both the backbone network and feature fusion network, and employing various optimization strategies in the training and inference stages. To improve the model’s ability to extract feature information from SAR image ship targets, two backbone feature extraction network structures are optimized and improved. One is Dilated ResNet improved based on dilated convolution, and the other is Deep Swin-Transformer based on unstructured model tuning. In addition, the FPN structure is extended by embedding dilated convolution modules in the feature fusion network to ensure efficient feature fusion. Finally, the model is optimized in various aspects during the training and inference phases to further improve its performance. It is experimentally demonstrated that ORS-NET achieves 53.79 mAP, which is better than the current mainstream general-purpose rotating object detectors. ORS-Net can perform the SAR image ship object detec

关键词： Convolution

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Density Functional Theory Based Monte Carlo Simulations for Prediction of Secondary Electron Yield from Metal Oxides 50

Density Functional Theory Based Monte Carlo Simulations for ...

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50th IEEE International Conference on Plasma Science, ICOPS 2023

作者： Gutierrez, R.E. Matanovic, I. Polak, M. Morgan, D. Booske, J. Schamiloglu, E. University of New Mexico Department of Electrical and Computer Engineering AlbuquerqueNM United States University of New Mexico Department of Chemical and Biological Engineering AlbuquerqueNM United States Los Alamos National Laboratory Physics and Chemistry of Materials Group Los AlamosNM United States University of Wisconsin-Madison Department of Materials Science and Engineering MadisonWI United States

ISBN: (纸本)9798350302660

The mitigation of the multipactor effect is of utmost importance in order to prevent breakdown in space based RF devices. To better understand this secondary electron runaway phenomenon, which occurs in the presence of alternating electric fields, the material properties and Secondary Electron Yield (SEY) of oxidized metals are studied in order to see how an oxidized surface might influence the SEY when compared to the base metal. Future work might include the addition of multiple oxide layers on the surface of a material, to study how layer thickness might influence the SEY. © 2023 IEEE.

关键词： Density functional theory

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Interpolative Device Models for Hafnia-Based FeFETs

Interpolative Device Models for Hafnia-Based FeFETs

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IEEE Electron Devices Technology and Manufacturing Conference (EDTM)

作者： Imtiaz Hossen Andreu L. Glasmann Sina Najmaei Gina C. Adam Electrical and Computer Engineering Department George Washington University Washington DC USA DEVCOM Army Research Laboratory Adelphi MD United States

A two-tier multivariate-kriging interpolation method is proposed as a computationally efficient approach to model hafnia-based FeFET devices. We investigate how well this data-driven approach captures device-to-device variabilities when applied to realistic datasets sampled from a physics-based compact model with artificial variance. The framework provides methods for future analysis of experimental data, as well as selection of device operating conditions with the aim of unveiling FeFET strengths and weaknesses and optimizing these synaptic devices for neuromorphic circuit integration.

关键词： Analytical models Interpolation Neuromorphics Computational modeling Neural networks Manufacturing Computational efficiency

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