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58th Asilomar Conference on Signals, Systems and computers, ACSSC 2024

作者： Naim Shaikh, Mohd Hamza Celik, Abdulkadir Eltawil, Ahmed M. Nauryzbayev, Galymzhan School of Engineering and Digital Sciences Nazarbayev University Department of Electrical and Computer Engineering Astana010000 Kazakhstan King Abdullah University of Science and Technology Cemse Division Thuwal Saudi Arabia

ISBN: (纸本)9798350354058

This work proposes a physical layer security (PLS) framework leveraging integrated sensing and communication (ISAC) to facilitate secure communication. The framework employs a multi-antenna full-duplex (FD), dual-functional access point (AP) to establish a secure communication zone around the intended user. The AP performs target sensing to detect the desired user and simultaneously employs artificial noise (AN) to jam any undesired users within the zone. In the first time slot, the AP sweeps the beam from a discrete Fourier transform-based codebook to sense the environment via its transmit antenna array, while the receive antenna array captures echoes from targets. If undesired users are detected within the secure communication zone, the downlink (DL) signal is augmented with friendly AN to obstruct their overhearing attempts. For the uplink (UL), the same set of transmit antennas beams AN towards the undesired users, while the receive antennas capture the UL signals from the desired user. By combining optimal beam selection, target sensing, and AN transmission, an FD secure communication link is established between the AP and desired user. Simulation results show that the proposed scheme significantly improves DL and UL secrecy rates compared to conventional methods. © 2024 IEEE.

关键词： Discrete Fourier transforms

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Stabilization of Optical Wireless Power Transmission System using Spatial Light Modulator 23

Stabilization of Optical Wireless Power Transmission System ...

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Laser Beam Shaping XXIII 2023

作者： Thu, Khin Myo Maruyama, Takeo Division of Electrical Engineering and Computer Science Kanazawa Univ. Kakuma-machi Ishikawa Kanazawa920-1192 Japan

ISBN: (纸本)9781510665484

Optical Wireless Power Transmission (OWPT) system, using beam shaping, is a promising technology that involves a transmitter side using a laser and a receiver side using solar cells to transfer power wirelessly over long distances. The system faces a challenge of potential mismatch between both sides, which can lead to low efficiency of power transfer. The objective of this research is to improve the mismatch between the beam shape of a semiconductor laser light source and the shape of a photodetector solar cell. The shape of a typical solar cell is rectangular, which does not match the circular beam shape of the light source, resulting in lower power conversion efficiency. To address this, methods have been proposed to beam shape into a rectangle using Fresnel lenses or rectangular core optical fibers. However, the distance from the solar cell and the rotation of the solar cell itself change the size of the beam, resulting in a trapezoidal image as seen from the light source. In this study, we report the results of an evaluation of the change in efficiency with respect to changes in the object, using a spatial light modulator (SLM) that can arbitrarily shape the light beam. Specifically, we evaluate how adjusting the shape of a circular beam onto a solar cell target using the SLM leads to a decrease in photocurrent, and how recognizing an object's beam shape in real-time to control a camera using machine learning can predict object shape for error suppression compared to linear prediction. © 2023 SPIE.

关键词： Light modulators

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2D Structure Pushing Nanocrystalline Common Mode Inductor First Resonant Frequency Above 10 MHz

2D Structure Pushing Nanocrystalline Common Mode Inductor Fi...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Zhang, Rongrong Zhao, Hui Jiang, Chaoqiang Wang, Shuo Long, Teng Liu, Kefu Qiu, Jian Fudan University The School of Information Science and Technology Shanghai China City University of Hong Kong The Department of Electrical Engineering Hong Kong University of Florida The Electrical and Computer Engineering GainesvilleFL United States University of Cambridge The Electrical Engineering Division Department of Engineering Cambridge United Kingdom

ISBN: (纸本)9798350376067

Nanocrystalline materials, known for their excellent magnetic properties, are widely used in the design of inductors and transformers, yet their application has been primarily limited to low-frequency scenarios due to their low resonance frequency. This paper introduces an innovative 2D nanocrystalline inductor design that not only capitalizes on the excellent magnetic characteristics of nanocrystalline materials but also effectively increases the resonance frequency to above 10 MHz, enabling the use of nanocrystalline materials in high-frequency power electronics. This design is not only suitable for mass production but also breakthrough in frequency limitations of nanocrystalline Materials. Experimental and simulation results confirm the superiority of the proposed design in enhancing high-frequency impedance, increasing high-frequency insertion loss, exhibiting improvements in EMI conduction frequency range (150 kHz - 30 MHz). The performance of the filter with the proposed 2D inductor is superior to the performance of EMI filters using other inductors within high frequency range, marking a significant breakthrough in magnetic device design. © 2024 IEEE.

关键词： Natural frequencies

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Fuzzy Set-Membership Filtering for Discrete-Time Nonlinear Systems

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IEEE/CAA Journal of Automatica Sinica 2022年第6期9卷 1026-1036页

作者： Jingyang Mao Xiangyu Meng Derui Ding Department of Control Science and Engineering University of Shanghai for Science and TechnologyShanghai 200093China Division of Electrical and Computer Engineering Louisiana State UniversityBaton RougeLA70803 USA IEEE School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia

In this article,the problem of state estimation is addressed for discrete-time nonlinear systems subject to additive unknown-but-bounded noises by using fuzzy set-membership ***,an improved T-S fuzzy model is introduced to achieve highly accurate approximation via an affine model under each fuzzy ***,compared to traditional prediction-based ones,two types of fuzzy set-membership filters are proposed to effectively improve filtering performance,where the structure of both filters consists of two parts:prediction and *** the locally Lipschitz continuous condition of membership functions,unknown membership values in the estimation error system can be treated as multiplicative noises with respect to the estimation ***-time recursive algorithms are given to find the minimal ellipsoid containing the true ***,the proposed optimization approaches are validated via numerical simulations of a one-dimensional and a three-dimensional discrete-time nonlinear systems.

关键词： Affine model membership functions set-membership filtering stability Takagi-Sugeno fuzzy modeling

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Design and analysis of SiN optical waveguide for 2D beam steering 23

Design and analysis of SiN optical waveguide for 2D beam ste...

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Laser Beam Shaping XXIII 2023

作者： Zhou, Z. Shimeno, Y. Kawai, S. Maruyama, T. Division of Electrical Engineering and Computer Science Kanazawa Univ. Kakuma-machi Ishikawa Kanazawa920-1192 Japan

ISBN: (纸本)9781510665484

This paper presents a method for achieving 2D beam steering using 16-phased array grating couplers through FDTD simulation. The method begins by designing a single grating coupler with a silicon nitride material (depth = 0.15 um, width = 0.2 um, grating pitch = 0.34 um) to achieve 1D beam steering of around 7.6°by changing the input wavelength from 500 nm to 550 nm and changing the TE or TM mode source. The grating pitch of 0.34 um was selected because the input wavelength at 532 nm through the NV center can measure the magnitude field, resulting in a reflected angle of 0°. By changing the input wavelength, positive and negative beam steering directions can be achieved. Subsequently, a total of 16 phased arrays were established, and a multimode interferometer (MMI) was used to split the input beam into 16 grating couplers. With the 16 waveguides, the phase can be changed from 0 to π/8, allowing the 2D steering angle to be altered from 0°to 1.72°. The method was validated using 3D simulations to ensure that the results match those obtained through 2D simulation. © 2023 SPIE.

关键词： Silicon nitride

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Sign-Based Distributed Learning with Byzantine Resilience based on Audit Mechanism

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IEEE Transactions on Information Forensics and Security 2025年 20卷 5774-5788页

作者： Li, Chengxi Xiao, Ming Skoglund, Mikael KTH Royal Institute of Technology Division of Information Science and Engineering School of Electrical Engineering and Computer Science Stockholm 10044 Sweden

In this paper, we study the problem of distributed learning (DL) with devices transmitting sign information of the local gradients to the server under communication constraints, where the devices are susceptible to Byzantine attacks. For this problem, a sign-based gradient descent method with majority vote and stochastic 1-bit quantization (Sign-M-stochastic) has been proposed very recently. However, the Byzantine resilience of Sign-M-stochastic is inherently limited, based on the fact that all Byzantine devices and honest devices participate equally in the training process. To overcome this drawback and enhance the resilience to Byzantine attacks, inspired by the audit-based distributed detection systems, we propose a novel DL method with an audit mechanism (DL-AM). In each iteration, the sign information of the local gradients are obtained by the devices from stochastic 1-bit quantization. All devices, partitioned into groups, send the sign information to the server through multiple paths, both directly and via other devices in the same group. This approach provides the server with additional information about the identities of the devices, which enables the server to form the global model update by aggregating the sign information of different devices with varying weights. We analyze the convergence performance of the proposed method from a theoretical perspective. Finally, numerical results demonstrate the superiority of DL-AM over the baseline methods. © 2005-2012 IEEE.

关键词： Audit mechanism Byzantine resilience convergence analysis distributed learning sign information

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Probabilistic Tube-based Control Synthesis of Stochastic Multi-Agent Systems under Signal Temporal Logic 63

Probabilistic Tube-based Control Synthesis of Stochastic Mul...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Vlahakis, Eleftherios E. Lindemann, Lars Sopasakis, Pantelis Dimarogonas, Dimos V. Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Stockholm10044 Sweden University of Southern California Viterbi School of Engineering Department of Computer Science Los AngelesCA90089 United States Queen's University School of Electronics Electrical Engineering and Computer Science Northern Ireland Belfast United Kingdom

ISBN: (纸本)9798350316339

We consider the control design of stochastic discrete-time linear multi-agent systems (MASs) under a global signal temporal logic (STL) specification to be satisfied at a predefined probability. By decomposing the dynamics into deterministic and error components, we construct a probabilistic reachable tube (PRT) as the Cartesian product of reachable sets of the individual error systems driven by disturbances lying in confidence regions (CRs) with a fixed probability. By bounding the PRT probability with the specification probability, we tighten all state constraints induced by the STL specification by solving tractable optimization problems over segments of the PRT, and relax the underlying stochastic problem with a deterministic one. This approach reduces conservatism compared to tightening guided by the STL structure. Additionally, we propose a recursively feasible algorithm to attack the resulting problem by decomposing it into agent-level subproblems, which are solved iteratively according to a scheduling policy. We demonstrate our method on a ten-agent system, where existing approaches are impractical. © 2024 IEEE.

关键词： Stochastic systems

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Machine learning electron-phonon interactions in two-dimensional semiconducting materials: The case of zero-point renormalization

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physical Review Materials 2024年第10期8卷 L101001页

作者： Anubhab Haldar Quentin Clark Marios Zacharias Feliciano Giustino Sahar Sharifzadeh Department of Electrical and Computer Engineering Department of Philosophy Oden Institute for Computational Engineering and Sciences Department of Physics Division of Materials Science and Engineering

We utilize first-principles theory to investigate the role of electron-phonon interactions within a dataset of monolayer materials. Using density functional theory to describe excited-state transitions and the special displacement method to describe the role of phonons, we analyze the relationship between simple physical observables and electron-phonon coupling strength. For over 100 materials, we compute the band gap renormalization due to zero-point vibrational (ZPR) motion as a measure of electron-phonon interactions and train a machine learning model based on physical parameters. We demonstrate that the strength of electron-phonon interactions is highly dependent on the band gap, dielectric constant, and degree of ionicity, all of which can be physically justified. We then apply this model to 1302 2D materials, predicting the ZPR, which for five randomly selected materials tested agree well with the first-principles predictions. This work provides an approach for quantitatively predicting the ZPR as a measure of electron-phonon interactions in 2D materials.

关键词： Electron-phonon coupling Electronic structure 2-dimensional systems Machine learning

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DISENTANGLING LEARNING REPRESENTATIONS WITH DENSITY ESTIMATION 11

DISENTANGLING LEARNING REPRESENTATIONS WITH DENSITY ESTIMATI...

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11th International Conference on Learning Representations, ICLR 2023

作者： Yeats, Eric Liu, Frank Li, Hai Department of Electrical and Computer Engineering Duke University United States Computer Science and Mathematics Division Oak Ridge National Laboratory United States

Disentangled learning representations have promising utility in many applications, but they currently suffer from serious reliability issues. We present Gaussian Channel Autoencoder (GCAE), a method which achieves reliable disentanglement via flexible density estimation of the latent space. GCAE avoids the curse of dimensionality of density estimation by disentangling subsets of its latent space with the Dual Total Correlation (DTC) metric, thereby representing its high-dimensional latent joint distribution as a collection of many low-dimensional conditional distributions. In our experiments, GCAE achieves highly competitive and reliable disentanglement scores compared with state-of-the-art baselines. © 2023 11th International Conference on Learning Representations, ICLR 2023. All rights reserved.

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A Multi-trace Surface Integral Equation Solver to Analyze Electromagnetic Field Interactions on Graphene-based Devices

A Multi-trace Surface Integral Equation Solver to Analyze El...

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2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio science Meeting, AP-S/URSI 2022

作者： Zhao, Ran Chen, Liang Hu, Jun Bagci, Hakan Electrical and Computer Engineering Program Computer Electrical and Mathematical Science and Engineering Division Thuwal23955 Saudi Arabia School of Electronic Science and Engineering Chengdu610056 China

ISBN: (数字)9781665496582

ISBN: (纸本)9781665496582

A multi-trace surface integral equation (MT-SIE) solver is proposed to analyze electromagnetic field interactions on graphene-based devices. This solver decomposes the computation domain into an exterior subdomain (the background medium where the device resides in) and an interior subdomain that represents the device's dielectric substrate. The infinitesimally thin graphene sheet partially covers the interface between these two subdomains. On the graphene surface and the rest of this interface, resistive Robin transmission conditions (formulated for the first time in this work) and the traditional Robin transmission conditions are used to "connect"these two subdomains, respectively. In each subdomain, the electric and magnetic field equations are used as the governing equations. Various numerical examples are presented to demonstrate the accuracy and the applicability of the proposed MT-SIE solver. © 2022 IEEE.

关键词： Graphene

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