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Error estimation of practical convolution discrete Gaussian sampling with rejection sampling

science China(Information sciences) 2021年第3期64卷 229-231页

作者： Zhongxiang ZHENG Xiaoyun WANG Guangwu XU Chunhuan ZHAO Department of Computer Science and Technology Tsinghua University Institute for Advanced Study Tsinghua University Key Laboratory of Cryptologic Technology and Information Security Ministry of EducationShandong Universtiy Department of Electrical Engineering and Computer Science University of Wisconsin-Milwaukee

Dear editor,Discrete Gaussian sampling is a fundamental tool in lattice cryptography which has been used in digital signatures,identify-based encryption, attribute-based encryption, zeroknowledge proof, and fully homomorphic cryptosystem. As a subroutine of lattice-based scheme, a high precision sampling usually leads to a high security level and also brings large time and space complexity.

关键词： Discrete Gaussian Sampling convolution theorem lattice error estimation Gaussian measure

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Semantic Communication in Multi-team Dynamic Games: A Mean Field Perspective

arXiv

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arXiv 2024年

作者： Aggarwal, Shubham Zaman, Muhammad Aneeq uz Bastopcu, Melih Başar, Tamer United States The Coordinated Science Laboratory UIUC United States The Coordinated Science Laboratory The Department of Electrical and Computer Engineering UIUC United States

Coordinating communication and control is a key component in the stability and performance of networked multi-agent systems. While single user networked control systems have gained a lot of attention within this domain, in this work, we address the more challenging problem of large population multi-team dynamic games. In particular, each team constitutes two decision makers (namely, the sensor and the controller) who coordinate over a shared network to control a dynamically evolving state of interest under costs on both actuation and sensing/communication. Due to the shared nature of the wireless channel, the overall cost of each team depends on other teams’ policies, thereby leading to a noncooperative game setup. Due to the presence of a large number of teams, we compute approximate decentralized Nash equilibrium policies for each team using the paradigm of (extended) mean-field games, which is governed by (1) the mean traffic flowing over the channel, and (2) the value of information at the sensor, which highlights the semantic nature of the ensuing communication. In the process, we compute optimal controller policies and approximately optimal sensor policies for each representative team of the mean-field system to alleviate the problem of general non-contractivity of the mean-field fixed point operator associated with the finite cardinality of the sensor action space. Consequently, we also prove the ǫ–Nash property of the mean-field equilibrium solution which essentially characterizes how well the solution derived using mean-field analysis performs on the finite-team system. Finally, we provide extensive numerical simulations, which corroborate the theoretical findings and lead to additional insights on the properties of the results presented. Copyright © 2024, The Authors. All rights reserved.

关键词： Multi agent systems

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Fabrication Optimization and PD Characteristics of MVDC Multilayer Insulation Cable systems for Envisaged Wide-Body All-Electric Aircraft

Fabrication Optimization and PD Characteristics of MVDC Mult...

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IEEE Kansas Power and Energy Conference

作者： Md Asifur Rahman Anoy Saha Mona Ghassemi Jane Lehr Department of Electrical and Computer Engineering Zero Emission Realization of Optimized Energy Systems (ZEROES) Laboratory The University of Texas at Dallas Richardson TX USA Department of Electrical and Computer Engineering University of New Mexico Albuquerque UM USA

ISBN: (数字)9798350372403

ISBN: (纸本)9798350372410

Electrifying the aviation sector, a key source of greenhouse gas (GHG) emissions, is critical for the United States to reach its net zero emissions target by 2050. The proposed all-electric aircraft (AEA) will need an electric power system (EPS) that offers high power density and low system mass, making medium voltage DC (MVDC) a better option than existing low voltage systems. The design and fabrication of power cables are pivotal for MVDC due to the thermal challenges the power cables face as a result of the low pressure (18.8 kPa) at a cruising altitude of wide-body passenger aircraft (12.2 km). The temperature distribution along the aircraft cable, largely determined by pressure, surface emissivity, and the shape of the surrounding surfaces, is expected to differ from that at atmospheric pressure because of the reduced heat transfer at lower pressure. In this regard, numerous designs of multilayer multifunctional electrical insulation (MMEI) systems have been presented in our earlier works and can satisfy these requirements. The optimal fabrication process of flat insulation samples of ARC-SC-T-MMEI design has been presented in our earlier work. This paper presents the optimized fabrication process of the cable configuration of ARCSC-T-MMEI design with aluminum hollow tube conductors by compression molding process.

关键词： Fabrication Temperature distribution Power cables Shape Power cable insulation Prototypes Nonhomogeneous media

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Fast Dynamic Time Warping for Temperature Compensation in Guided Waves

e-Journal of Nondestructive Testing

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e-Journal of Nondestructive Testing 2024年第6期29卷

作者： Kumar, Narendra Gupta, Payal Carlson, Johan E. Department of Computer Science Electrical and Space Engineering Div. of Signals and Systems Luleå University of Technology Luleå Sweden

The paper discusses Structural Health Monitoring (SHM) based on ultrasonic guided waves for damage detection in structures. Guided waves allow inspection over long distances and inaccessible features, but are also sensitive to changes in environmental and operating conditions (EOC). The focus of this paper is on temperature compensation methods for guided waves. The compensation techniques include Baseline Signal Stretch (BSS), Optimal Baseline Selection (OBS), OBS+BSS, and Dynamic Time-Warping (DTW). In particular, a new, fast approximation of DTW is evaluated and compared with conventional but computationally expensive DTW. The FDTW algorithm utilizes a multilevel approach inspired by graph bisection principles to achieve precise warping path determination with linear computational complexity. The study evaluates the compensation performance of FDTW using a single baseline at a single temperature, thus addressing the complexity and inaccessibility issues of obtaining an extensive database of baseline signals in practical applications. The Open Guided Wave (OGW) dataset is employed for a fair comparison with other compensation methods. Results indicate that FDTW performs well, demonstrating comparable warping performance to DTW but with significantly reduced computational complexity. The analysis also includes comparisons with BSS, OBS+BSS, and DTW across a range of temperatures, highlighting the effectiveness of FDTW in mitigating errors introduced by larger temperature variations. © 2024 The Authors.

关键词： Structural health monitoring

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Advanced Traffic Framework for Managing Congestion 9

Advanced Traffic Framework for Managing Congestion

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9th International Conference on Computing for Sustainable Global Development, INDIACom 2022

作者： Alharbi, Awad Saleh Sen, Adnan Ahmed Abi Yamin, Mohammad Alhudhaif, Abdullah Alaboudi, Abdulellah A. School of Mathematics Computer Science and Engineering Department of Electrical Engineering London United Kingdom Islamic University Faculty of Computer and Information Systems Al-Madinah Saudi Arabia College of Engineering and Computer Science Australian National University Canberra Australia King Abdulaziz University Faculty of Economics and Administration Jeddah Saudi Arabia Shaqra University Department of Computer Sciences Shaqra Saudi Arabia

ISBN: (纸本)9789380544441

The most important challenge for any traffic system is to address traffic congestion and reduce it as much as possible. This process is complicated even for smart systems, as it requires the integration between many solutions, technologies, and services because a single solution cannot effectively address this issue. In this paper, we present a framework to support cooperation of many solutions, technologies, tools, and services in the traffic domain. To achieve this, the different service providers must be enabled to contribute to providing solutions, support services, and cooperate to obtain better quality, performance, availability, and greater flexibility in the available options. Therefore, we have added a new module that is responsible for supporting interoperability between devices and different heterogeneous services. We also added a special privacy protection component which is also a challenge that limits the ability to collaborate and share data between different apps and services. Finally, we discuss the benefits of the advanced traffic framework, with a case study that proves its importance. © 2022 Bharati Vidyapeeth, New Delhi.

关键词： Interoperability

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Fabrication of MVDC multilayer insulation systems as flat samples for wide-body all-electric aircraft

Fabrication of MVDC multilayer insulation systems as flat sa...

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IEEE Texas Power and Energy Conference (TPEC)

作者： Arian Azizi Anoy Saha Md Asifur Rahman Mona Ghassemi Jane Lehr Zero Emission Realization of Optimized Energy Systems (ZEROES) Laboratory Department of Electrical and Computer Engineering The University of Texas at Dallas Richardson TX USA Department of Electrical and Computer Engineering University of New Mexico Albuquerque UM USA

To fulfill the net zero emission goal, transportation sector, as the largest source of greenhouse gas (GHG) emissions in the United States, must be decarbonized. Electrification is regarded as one of the most promising approaches to decarbonizing transportation. Due to its annual growth, the aviation industry has also been targeted to be decarbonized. Fully electrification of aviation or all-electric aircraft (AEA) requires high power density and low system mass electric power systems (EPS), and to this end, moving towards MVDC is preferred. In our previous work, numerous Multilayer Multifunctional electrical Insulation (MMEI) systems have been designed. However, the dielectric strength and time-to-failure of the designed MMEI systems can only be determined by experimental tests. In this paper, the process of fabricating flat samples of down-selected MMEI designs by a compressionmolding process is discussed in detail.

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Beamspace Channel Estimation for Wideband Millimeter-Wave MIMO: A Model-Driven Unsupervised Learning Approach

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IEEE Transactions on Wireless Communications 2023年第3期22卷 1808-1822页

作者： He, Hengtao Wang, Rui Jin, Weijie Jin, Shi Wen, Chao-Kai Li, Geoffrey Ye Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Hong Kong The Hong Kong Polytechnic University Department of Electronic and Information Engineering Hong Kong Hong Kong Imperial College London Department of Electrical and Electronic Engineering LondonSW7 2BX United Kingdom Southeast University National Mobile Communications Research Laboratory Nanjing210096 China

Millimeter-wave (mmWave) communications have been one of the promising technologies for future wireless networks that integrate a wide range of data-demanding applications. To compensate for the large channel attenuation in mmWave band and avoid high hardware cost, a lens-based beamspace massive multiple-input multiple-output (MIMO) system is considered. However, the spatial-wideband effect in wideband mmWave systems makes channel estimation very challenging, especially when the receiver is equipped with a limited number of radio-frequency (RF) chains. Furthermore, the real channel data cannot be obtained before the mmWave system is used in a new environment, which makes it impossible to train a deep learning (DL)-based channel estimator using real data set beforehand. To solve the problem, we propose a model-driven unsupervised learning network, named learned denoising-based generalized expectation consistent (LDGEC) signal recovery network. By utilizing the Stein's unbiased risk estimator loss, the LDGEC network can be trained only with limited measurements corresponding to the pilot symbols, instead of the real channel data. Even if designed for unsupervised learning, the LDGEC network can be supervisingly trained with the real channel via the denoiser-by-denoiser way. The numerical results demonstrate that the LDGEC-based channel estimator significantly outperforms state-of-the-art compressive sensing-based algorithms when the receiver is equipped with a small number of RF chains and low-resolution ADCs. © 2002-2012 IEEE.

关键词： Channel estimation

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Advances in magnetic-assisted triboelectric nanogenerators:structures,materials and self-sensing systems

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International Journal of Extreme Manufacturing 2024年第5期6卷 162-188页

作者： Pengfan Wu Chenxi Zhao Endian Cui Shiwei Xu Tao Liu Fayang Wang Chengkuo Lee Xiaojing Mu Key Laboratory of Optoelectronic Technology&Systems Ministry of Education International R&D Center of Micro-Nano Systems and New Materials TechnologyChongqing UniversityChongqing 400044People’s Republic of China Department of Electrical and Computer Engineering National University of SingaporeSingaporeSingapore

Triboelectric nanogenerators(TENG),renowned for their remarkable capability to harness weak mechanical energy from the environment,have gained considerable attention owing to their cost-effectiveness,high output,and *** review provides a unique perspective by conducting a comprehensive and in-depth analysis of magnetically assisted TENGs that encompass structures,materials,and self-powered sensing *** systematically summarize the diverse functions of the magnetic assistance for TENGs,including system stiffness,components of the hybrid electromagnetic-triboelectric generator,transmission,and interaction *** the material domain,we review the incorporation of magnetic nano-composites materials,along with ferrofluid-based TENG and microstructure verification,which have also been summarized based on existing ***,we delve into the research progress on physical quantity sensing and human-machine interface in magnetic-assisted *** analysis highlights that magnetic assistance extends beyond the repulsive and suction forces under a magnetic field,thereby playing multifaceted roles in improving the output performance and environmental adaptability of the ***,we present the prevailing challenges and offer insights into the future trajectory of the magnetic-assisted TENGs development.

关键词： triboelectric nanogenerator magnetic assistance tuning structure controlled material preparation self-powered system

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Electron charge qubit with 0.1 millisecond coherence time

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Nature Physics 2024年第1期20卷 116-122页

作者： Zhou, Xianjing Li, Xinhao Chen, Qianfan Koolstra, Gerwin Yang, Ge Dizdar, Brennan Huang, Yizhong Wang, Christopher S. Han, Xu Zhang, Xufeng Schuster, David I. Jin, Dafei Center for Nanoscale Materials Argonne National Laboratory LemontIL United States Pritzker School of Molecular Engineering University of Chicago ChicagoIL United States Computational Research Division Lawrence Berkeley National Laboratory BerkeleyCA United States The NSF AI Institute for Artificial Intelligence and Fundamental Interactions CambridgeMA United States Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology CambridgeMA United States James Franck Institute and Department of Physics University of Chicago ChicagoIL United States Department of Electrical and Computer Engineering Northeastern University BostonMA United States Department of Applied Physics Stanford University StanfordCA United States Department of Physics and Astronomy University of Notre Dame Notre DameIN United States

Electron charge qubits are compelling candidates for solid-state quantum computing because of their inherent simplicity in qubit design, fabrication, control and readout. However, electron charge qubits built on conventional semiconductors and superconductors suffer from severe charge noise that limits their coherence time to the order of one microsecond. Here we report electron charge qubits that exceed this limit, based on isolated single electrons trapped on an ultraclean solid neon surface in a vacuum. Quantum information is encoded in the motional states of an electron that is strongly coupled with microwave photons in an on-chip superconducting resonator. The measured relaxation and coherence times are both on the order of 0.1 ms, surpassing all existing charge qubits and rivalling state-of-the-art superconducting transmon qubits. The simultaneous strong coupling of two qubits with a common resonator is also demonstrated, as the first step towards two-qubit entangling gates for universal quantum computing. © 2023, The Author(s), under exclusive licence to Springer Nature Limited.

关键词： Superconducting resonators

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PROVABLE SIM-TO-REAL TRANSFER IN CONTINUOUS DOMAIN WITH PARTIAL OBSERVATIONS 11

PROVABLE SIM-TO-REAL TRANSFER IN CONTINUOUS DOMAIN WITH PART...

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11th International Conference on Learning Representations, ICLR 2023

作者： Hu, Jiachen Zhong, Han Jin, Chi Wang, Liwei School of Computer Science Peking University China Center for Data Science Peking University China Department of Electrical and Computer Engineering Princeton University United States National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology Peking University Center for Data Science Peking University Beijing Institute of Big Data Research China

Sim-to-real transfer, which trains RL agents in the simulated environments and then deploys them in the real world, has been widely used to overcome the limitations of gathering samples in the real world. Despite the empirical success of the sim-to-real transfer, its theoretical foundation is much less understood. In this paper, we study the sim-to-real transfer in continuous domain with partial observations, where the simulated environments and real-world environments are modeled by linear quadratic Gaussian (LQG) systems. We show that a popular robust adversarial training algorithm is capable of learning a policy from the simulated environment that is competitive to the optimal policy in the real-world environment. To achieve our results, we design a new algorithm for infinite-horizon average-cost LQGs and establish a regret bound that depends on the intrinsic complexity of the model class. Our algorithm crucially relies on a novel history clipping scheme, which might be of independent interest. © 2023 11th International Conference on Learning Representations, ICLR 2023. All rights reserved.

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