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arXiv 2024年

作者： Humadi, Khaled Kurt, Gunes Karabulut Yanikomeroglu, Halim Poly-Grames Research Center Department of Electrical Engineering Polytechnique Montreal Montreal Canada Department of Systems and Computer Engineering Carleton University Ottawa Canada

Distributed massive multiple-input multiple-output (mMIMO) system for low Earth orbit (LEO) satellite networks is introduced as a promising technique to provide broadband connectivity. Nevertheless, several challenges persist in implementing distributed mMIMO systems for LEO satellite networks. These challenges include providing scalable massive access implementation as the system complexity increases with network size. Another challenging issue is the asynchronous arrival of signals at the user terminals due to the different propagation delays among distributed antennas in space, which destroys the coherent transmission, and consequently degrades the system performance. In this paper, we propose a scalable distributed mMIMO system for LEO satellite networks based on dynamic user-centric clustering. Aiming to obtain scalable implementation, new algorithms for initial cooperative access, cluster selection, and cluster handover are provided. In addition, phase shift-aware precoding is implemented to compensate for the propagation delay phase shifts. The performance of the proposed user-centric distributed mMIMO is compared with two baseline configurations: the non-cooperative transmission systems, where each user connects to only a single satellite, and the full-cooperative distributed mMIMO systems, where all satellites contribute serving each user. The numerical results show the potential of the proposed distributed mMIMO system to enhance system spectral efficiency when compared to non-cooperative transmission systems. Additionally, it demonstrates the ability to minimize the serving cluster size for each user, thereby reducing the overall system complexity in comparison to the full-cooperative distributed mMIMO systems. © 2024, CC BY.

关键词： MIMO systems

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PID Controller Design with a New Method Based on Fractionalized Integral Gain for Cruise Control System 24

PID Controller Design with a New Method Based on Fractionali...

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24th EEEIC International Conference on Environment and electrical engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024

作者： Idir, Abdelhakim Zemmit, Abderrahim Nesri, Mokhtar Guedida, Sifelislam Akroum, Hamza Canale, Laurent University Mohamed Boudiaf of M'sila Department of Electrical Engineering M'sila Algeria Ecole Supérieur Ali Chabati Algiers Reghaia Algeria Uer Elt Ecole Militaire Polytechnique Algiers Algeria Université M'Hamed Bougara Laboratoire d 'Automatique Appliquée Boumerdès Algeria Cnrs Laplace Umr 5213 Toulouse France

ISBN: (纸本)9798350355185

In this study, a fractionalized PID controller based on particle swarm optimization (PSO/FrPID) is presented for automobile cruise control systems. This system, known for its significant nonlinearity, has been linearized around its equilibrium point. In this method, the PID controller is designed using fractionalized integral and integer orders. This approach increases the parameters of the modified PID controller to four. The effectiveness of the proposed controller is evaluated in comparison to traditional PID methods, atomic search optimization (ASO/PID), particle swarm optimization (PSO/PID), and the genetic algorithm (GA-PID). The proposed methodology for the functioning of the vehicle cruise control system has proven to be superior to other promising methods documented in the literature, as confirmed by comparative evaluations that take into account both transient and frequency stability. © 2024 IEEE.

关键词： Frequency stability

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Optimal Demand Side Load Management for Smart House Based on User's Satisfaction

Optimal Demand Side Load Management for Smart House Based on...

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Clean and Green Energy engineering (CGEE), International Conference on

作者： Khaled Khezzane Mamadou Lamine Doumbia Farid Khoucha Department of Electrical and Computer Engineering University of Québec at Trois-Rivières (UQTR) Québec Canada Department of Electrical Engineering École Militaire Polytechnique (EMP) Alger Algeria

ISBN: (数字)9798350377491

ISBN: (纸本)9798350377507

Over the past few decades, the conventional and one-way electricity grid has undergone a remarkable evolution towards a smart and two-ways grid system. With the demand-responsive capability of smart grids, residential customers can use their devices on demand to obtain economic benefits in return, and increasing their satisfaction. In this context, this paper proposes an on-demand side load management technique to optimally control home appliances, such that user satisfaction is maximized with lowest cost, and the peak-to- average ratio is minimal. The main contributions of this article are: the integration of user satisfaction concept in the planning of home appliances then the use of a multi-objective optimization algorithm instead of traditional single-objective optimization. The input data required by the algorithm includes device types, device power, device usage period, electricity cost, as well as user satisfaction related to each electrical device used every hour of the day. The effectiveness of the proposed technique is proven by comparison between four scenarios. The results revealed that the proposed optimization algorithm was the best solution to achieve maximum benefits in terms of energy cost, peak-to-average ratio and user satisfaction.

关键词： Home appliances Costs Demand side management Electricity Peak to average power ratio Load management Smart grids Resource management Optimization Genetic algorithms

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Site-controlled QD embedded coupled photonic crystal cavity waveguides for on-chip photon routing

Site-controlled QD embedded coupled photonic crystal cavity ...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Huang, Jiahui Liu, Wei Miranda, Alessio Dwir, Benjamin Rudra, Alok Kapon, Eli Wong, Chee Wei Mesoscopic Optics and Quantum Electronics Laboratory Department of Electrical and Computer Engineering University of California Los AngelesCA United States Institute of Physics École Polytechnique Fédérale de Lausanne Lausanne Switzerland

We demonstrate the on-chip photon routing on a site-controlled quantum dots embedded W1 photonic crystal waveguides side coupled to a L3 cavity. Observed photon propagation through the device indicates the connectivit... 详细信息

ISBN: (纸本)9781957171258

关键词： Photons

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Multi-beam phase mask optimization for holographic volumetric additive manufacturing

arXiv

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arXiv 2024年

作者： Li, Chi Chung Toombs, Joseph Subramanian, Vivek Taylor, Hayden K. Department of Mechanical Engineering University of California Berkeley BerkeleyCA94720 United States Department of Electrical Engineering and Computer Sciences University of California Berkeley BerkeleyCA94720 United States Institute of Electrical and Micro Engineering Ecole Polytechnique Federale de Lausanne Vaud Lausanne Switzerland

The capability of holography to project three-dimensional (3D) images and correct for aberrations offers much potential to enhance optical control in light-based 3D printing. Notably, multi-beam multi-wavelength holographic systems represent an important development direction for advanced volumetric additive manufacturing (VAM). Nonetheless, searching for the optimal 3D holographic projection is a challenging ill-posed problem due to the physical constraints involved. This work introduces an optimization framework to search for the optimal set of projection parameters, namely phase modulation values and amplitudes, for multi-beam holographic lithography. The proposed framework is more general than classical phase retrieval algorithms in the sense that it can simultaneously optimize multiple holographic beams and model the coupled non-linear material response created by co-illumination of the holograms. The framework incorporates efficient methods to evaluate holographic light fields, resample quantities across coordinate grids, and compute the coupled exposure effect. The efficacy of this optimization method is tested for a variety of setup configurations that involve multi-wavelength illumination, two-photon absorption, and time-multiplexed scanning beam. A special test case of holo-tomographic patterning optimized 64 holograms simultaneously and achieved the lowest error among all demonstrations. This variant of tomographic VAM shows promises for achieving high-contrast microscale fabrication. All testing results indicate that a fully coupled optimization offers superior solutions relative to a decoupled optimization *** Codes 90C26 Copyright © 2024, The Authors. All rights reserved.

关键词： 3D printing

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Revisiting character-level adversarial attacks for language models 24

Revisiting character-level adversarial attacks for language ...

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Proceedings of the 41st International Conference on Machine Learning

作者： Elias Abad Rocamora Yongtao Wu Fanghui Liu Grigorios G. Chrysos Volkan Cevher LIONS École Polytechnique Fédérale de Lausanne Switzerland Department of Computer Science University of Warwick UK Department of Electrical and Computer Engineering University of Wisconsin-Madison

Adversarial attacks in Natural Language Processing apply perturbations in the character or token levels. Token-level attacks, gaining prominence for their use of gradient-based methods, are susceptible to altering sentence semantics, leading to invalid adversarial examples. While character-level attacks easily maintain semantics, they have received less attention as they cannot easily adopt popular gradient-based methods, and are thought to be easy to defend. Challenging these beliefs, we introduce Charmer, an efficient query-based adversarial attack capable of achieving high attack success rate (ASR) while generating highly similar adversarial examples. Our method successfully targets both small (BERT) and large (Llama 2) models. Specifically, on BERT with SST-2, Charmer improves the ASR in 4.84% points and the USE similarity in 8% points with respect to the previous art. Our implementation is available in ***/LIONS-EPFL/Charmer.

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Uncertainty-aware Mueller matrix polarimetry using Gaussian process pipeline

Uncertainty-aware Mueller matrix polarimetry using Gaussian ...

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Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2025

作者： Robinson, Demelza Bastiaan Kleijn, W. Novikova, Tatiana Doronin, Alexander School of Engineering and Computer Science Victoria University of Wellington Wellington6140 New Zealand Laboratoire de Physique des Interfaces et des Couches Minces CNRS Ecole Polytechnique IP Paris Palaiseau91120 France Department of Biomedical Engineering College of Engineering and Computing Florida International University 10555 West Flagler Street MiamiFL33174 United States

ISBN: (纸本)9781510683921

Mueller matrix (MM) wide-field polarised multi-spectral imaging has emerged as a powerful tool for biomedical applications, including cervical pre-cancer detection. While machine learning techniques, particularly convolutional neural networks (CNNs), have achieved high accuracy in detection, they lack uncertainty estimation crucial for clinical decision-making. We introduce a novel two-stage Gaussian process pipeline that addresses this limitation. Our approach handles partially-labelled MM data, refines predictions using polarimetric features, and provides pixel-wise classification with uncertainty estimates. Qualitative results show competitiveness with or outperformance of CNNs, while crucially offering uncertainty information, enhancing the clinical applicability of polarimetric imaging in cervical pre-cancer detection. This uncertainty quantification enables clinicians to identify cases requiring additional examination or expert consultation, particularly in regions where the model shows low confidence, thereby reducing the risk of misdiagnosis and improving patient care pathways. © 2025 SPIE

关键词： Polarimeters

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Devops for digital business: Optimizing the performance and economic efficiency of software products for digital business

Devops for digital business: Optimizing the performance and ...

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SEAMS International Workshop on Software engineering for Adaptive and Self-Managing Systems, ICSE

作者： Soude Ghari Department of Computer and Software engineering Ecole Polytechnique Montreal Canada

ISBN: (纸本)9781665452120

Software is playing an increasingly crucial role for any modern enterprise. Due to the high volatility of software and its environment, management of software change has become a crucial ability of a digital enterprise. Indeed, the ever-changing technical aspects of cloud-based software might influence its economic aspects at the same rate. This PhD work proposes an autonomic management framework for economic-driven adaptive resource allocation, during which performance and economics are considered simultaneously. The framework consists of a hybrid performance-economic model for cloud software systems and a self-adaptive system for resource management at run time. The proposed framework will be developed and evaluated on use cases from the domain of financial services. The objective in these use cases is to improve productivity of data scientists when they train and deploy analytical and ML models, while maintaining a low resource consumption. Considering productivity and cost as the economic factors, and latency and resource consumption as the technical ones, we will use the proposed hybrid model to guide initial deployment, and the self-adaptive system to adjust the deployment at run time.

关键词： Productivity Adaptation models Costs Autonomous systems Software systems Data models Resource management

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Enabling Wide Bandwidth in Substrate-Integrated Waveguide Slot Antennas by Using Low-Index Metamaterials

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Physical Review Applied 2024年第1期21卷 014017-014017页

作者： Amir Jafargholi Romain Fleury Mohammad Hossein Mazaheri Jalaledin Tayebpour Laboratory of Wave Engineering Ecole polytechnique fédérale de Lausanne (EPFL) CH 1015 Lausanne Switzerland Department of Computer Science University of California Los Angeles (UCLA) Los Angeles California 90095-1596 USA Department of Electrical and Computer Engineering University of Waterloo Waterloo Ontario N2L 3G1 Canada

This paper presents a solution to overcome the inherently limited bandwidth of substrate-integrated waveguide (SIW) slot antennas. It is analytically shown that by decreasing the permittivity of a dielectric loaded slot antenna, the resulting bandwidth increases significantly, where the widest bandwidth can be achieved when the permittivity of the dielectric is less than unity. To demonstrate this concept, a rectangular SIW slot is loaded by an array of thin wires to realize the desired low-index metamaterials (MTMs), which consequently results in a single-layer, compact, and cost-effective structure. We have measured an impedance bandwidth (|S11|<−10dB) of 36.2%, covering the millimeter-wave (mmWave) frequency range of 19.7–28.4 GHz. The radiation efficiency is above 90%, providing at least 7.5 decibels relative to isotropic (dBi) gain through the entire frequency band, making it a potential candidate for industrial, scientific and medical (ISM) and/or automotive radar (24.125--24.25 GHz) and 5G (24.25--28.35 GHz). Measurements show that the proposed antenna not only has a broad impedance bandwidth but also an improved radiation bandwidth.

关键词： Light propagation, transmission & absorption Nanoantennas Optoelectronics Metamaterials Waveguides Wireless communication networks Classical electromagnetism Microwave techniques

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Map-and-Conquer: Energy-Efficient Mapping of Dynamic Neural Nets onto Heterogeneous MPSoCs 23

Map-and-Conquer: Energy-Efficient Mapping of Dynamic Neural ...

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Proceedings of the 60th Annual ACM/IEEE Design Automation Conference

作者： Halima Bouzidi Mohanad Odema Hamza Ouarnoughi Smail Niar Mohammad Abdullah Al Faruque LAMIH/UMR CNRS Université Polytechnique Hauts-de-France Valenciennes France and Department of Electrical Engineering and Computer Science University of California Irvine USA Department of Electrical Engineering and Computer Science University of California Irvine USA LAMIH/UMR CNRS Université Polytechnique Hauts-de-France Valenciennes France

ISBN: (纸本)9798350323481

Heterogeneous MPSoCs comprise diverse processing units of varying compute capabilities. To date, the mapping strategies of neural networks (NNs) onto such systems are yet to exploit the full potential of processing parallelism, made possible through both the intrinsic NNs' structure and underlying hardware composition. In this paper, we propose a novel framework to effectively map NNs onto heterogeneous MPSoCs in a manner that enables them to leverage the underlying processing concurrency. Specifically, our approach identifies an optimal partitioning scheme of the NN along its 'width' dimension, which facilitates deployment of concurrent NN blocks onto different hardware computing units. Additionally, our approach contributes a novel scheme to deploy partitioned NNs onto the MPSoC as dynamic multi-exit networks for additional performance gains. Our experiments on a standard MPSoC platform have yielded dynamic mapping configurations that are 2.1x more energy-efficient than the GPU-only mapping while incurring 1.7x less latency than DLA-only mapping.

关键词： dynamic neural networks

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