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arXiv 2023年

作者： Rjoub, Gaith Bentahar, Jamal Wahab, Omar Abdel Mizouni, Rabeb Song, Alyssa Cohen, Robin Otrok, Hadi Mourad, Azzam King Hussein School of Computing Sciences Princess Sumaya University for Technology Jordan Concordia Institute for Information Systems Engineering Concordia University Montreal Canada Department of Computer and Software Engineering Polytechnique Montréal Montréal Canada Electrical Engineering and Computer Science Department Khalifa University Abu Dhabi United Arab Emirates Department of EECS Khalifa University Abu Dhabi United Arab Emirates David R. Cheriton School of Computer Science University of Waterloo Canada Cyber Security Systems and Applied AI Research Center Dept. of CSM Lebanese American University Lebanon Division of Science New York University Abu Dhabi United Arab Emirates

The "black-box" nature of artificial intelligence (AI) models has been the source of many concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a rapidly growing research field that aims to create machine learning models that can provide clear and interpretable explanations for their decisions and actions. In the field of cybersecurity, XAI has the potential to revolutionize the way we approach network and system security by enabling us to better understand the behavior of cyber threats and to design more effective defenses. In this survey, we review the state of the art in XAI for cybersecurity and explore the various approaches that have been proposed to address this important problem. The review follows a systematic classification of cybersecurity threats and issues in networks and digital systems. We discuss the challenges and limitations of current XAI methods in the context of cybersecurity and outline promising directions for future research. © 2023, CC BY.

关键词： Cybersecurity

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Physical and Electrochemical Properties of TiO Nanotubes for Energy Storage Application 10

Physical and Electrochemical Properties of TiO Nanotubes for...

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10th IEEE International Conference on "Nanomaterials: Applications and Properties", NAP 2020

作者： Fraoucene, Henia Khoumeri, El-Hadi Mammeri University Laboratory of Advanced Technologies of Genie Electrics Faculty of Electrical and Computer Engineering Mouloud Tizi-Ouzou Algeria Laboratoire des Technologies Innovantes GEII Dept. Ecole Nationale Supérieure de Technologie Algiers Algeria

ISBN: (纸本)9781728185064

Due to their advanced properties and high specific surface area, TiO nanotubes (TiO NTs) are used in various fields, such as dye sensitized solar cells, photocatalysis, biomedical applications and energy storage. In this work, TiO NTs were synthesized by anodization of titanium (Ti) foil and Ti-6A1-4V (TA6V) alloy at 60 V for 3 h in fluoride organic electrolyte for a use as a negative electrode in lithium ion micro-batteries in aim to improve their energy storage. The morphological, structural and electrochemical performances of TiO NTs were investigated by scanning electron microscope (SEM), X-ray diffraction (XRD) and electrochemical characterization techniques. © 2020 IEEE.

关键词： Nanotubes

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A Novel Partial Power Cascaded DC/DC Topology for CPV Application: A Theoretical Study

A Novel Partial Power Cascaded DC/DC Topology for CPV Applic...

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International Conference on Power Electronics and Drive Systems (PEDS)

作者： Philippe Camail Christian Martin Bruno Allard Charles Joubert Maxime Darnon João Pedro F. Trovão Ampère CNRS UMR 5005 Université Claude Bernard Lyon 1 INSA-Lyon Ecole Centrale de Lyon Université de Lyon Villeurbanne France Laboratoire Nanotechnologies Nanosystèmes (LN2) CNRS IRL-3463 Institut Interdisciplinaire d’Innovation Technologique (3IT) Université de Sherbrooke Sherbrooke Canada Dept. Electrical & Computer Engineering e-TESC Laboratory Université de Sherbrooke Sherbrooke Canada

This paper presents a novel partial power DC/DC topology for CPV applications. The context of the CPV requirements is first derived in terms of losses factor, and compared to traditional centralized topology. An additional cascaded DC/DC stage is then proposed. It consists of Delta Power Converters used for current independence cascaded with Partial Power Converters for string voltage independence. The theoretical explanation and example using realistic shading pattern are presented. Last, the increased yielded energy provided by the complete cascaded topology is shown.

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Scaling Optimizations for Large-Scale Distributed Data with Lightweight Coresets

Scaling Optimizations for Large-Scale Distributed Data with ...

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IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Daniel N. Pinheiro Samuel Xavier-de-Souza Daniel Aloise Grad. Program of Electrical and Computer Engineering Univ. Federal do Rio Grande do Norte Natal Brazil Dept. of Computer Engineering and Automation Univ. Federal do Rio Grande do Norte Natal Brazil Dept. of Computer and Software Engineering Polytechnique Montreal Québec Canada

ISBN: (数字)9781728174457

ISBN: (纸本)9781728174570

Lightweight coresets are compact representations of data sets such that clustering methods present competitive results in relation to the complete data set. They are constructed by sampling important points from the complete set. We propose a fast method to approximate the sampling of lightweight coresets from very large data sets which are distributed among multiple machines. We show that the proposed method is much faster and scalable, reaching results 48 times faster than the original lightweight coresets, while holding similar properties.

关键词： Clustering algorithms Approximation algorithms Distributed databases Optimization Big Data Random access memory Linear programming

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A Versatile Non-Overlapping Signal Generator for Efficient Power-Converters Operation

A Versatile Non-Overlapping Signal Generator for Efficient P...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Mousa Karimi Mohamed Ali Morteza Nabavi Ahmad Hassan Mostafa Amer Mohamad Sawan Benoit Gosselin BioL-UL Lab. Dept. of Electrical and Computer Engineering Laval University Quebec City QC Canada Polystim Neurotech. Lab. Dept. of Electrical Engineering Polytechnique Montreal QC Canada School of Engineering Westlake University Hangzhou China Institute of Advanced Study Westlake Institute for Advanced Study Hangzhou China

ISBN: (数字)9781728133201

ISBN: (纸本)9781728133218

A novel non-overlapping signal generator intended for power-converters operation is presented. This switched capacitor circuit architecture-based sensor and actuator interface is implemented in AMS-H35B4D3 technology and consumes a power of 51.8 mW from a 3.3V-supply at 1 Mbps. Two-sided wide swing current source, two capacitors, Schmitt triggers and three transmission gates are employed on each side of the current source for implementing this versatile building block. The circuit provides needed dead-time to the power amplifier for high and low voltage applications. The time period of the master CLK is 1μs. The proposed circuit successfully generates two outputs with 0.4813 μs (∼half of period) non-overlapping delay between the phases. It occupies an area of 70 μm×180 μm from the total half bridge area of 800 μm×1370 μm.

关键词： Delays Capacitors Bridge circuits MOSFET Signal generators Logic gates

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Modeling boundary conditions in high-order, nodal, time-domain finite element methods 23

Modeling boundary conditions in high-order, nodal, time-doma...

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23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019

作者： Pind, Finnur Jeong, Cheol-Ho Hesthaven, Jan S. Engsig-Karup, Allan P. Strømann-Andersen, Jakob Henning Larsen Denmark Acoustic Technology Dept. of Electrical Engineering Technical University of Denmark Denmark Chair of Computational Mathematics and Simulation Science École polytechnique fédérale de Lausanne Switzerland Scientific Computing Dept. of Applied Mathematics and Computer Science Technical University of Denmark Denmark

ISBN: (纸本)9783939296157

Accurate modeling of boundary conditions is an important aspect in room acoustic simulations. It has been shown that the acoustics of rooms is not only dependent on the frequency characteristic of the complex boundary impedance, but also on the angle dependent properties of the impedance ("extended reaction"). This paper presents a computationally efficient method for modeling local-reaction (LR) and extended-reaction (ER) boundary conditions in high-order, nodal, time-domain finite element methods, such as the spectral element method (SEM) or the discontinuous Galerkin finite element method (DGFEM). The frequency and angle dependent boundary impedance is mapped to a multipole model and formulated in differential form. The solution of the boundary differential equations comes with minimal computational cost. In the ER model, wave splitting is applied at the boundary to separate the incident and reflected parts of the sound field. The directional properties of the incident sound field are determined from the incident particle velocity and the boundary conditions are adjusted continuously according to the wave angle of incidence. The accuracy of the boundary condition model is assessed by comparing simulations against measurements, where a significantly improved match between simulations and measurements is found when the ER model is used. © 2019 Proceedings of the International Congress on Acoustics. All rights reserved.

关键词： *fpin@ Extended-reaction High-order numerical methods Sound absorption Wave-based room acoustic simulations

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A Machine Learning Approach for Power Gating the FPGA Routing Network

A Machine Learning Approach for Power Gating the FPGA Routin...

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IEEE International Conference on Field-Programmable Technology (FPT)

作者： Zeinab Seifoori Hossein Asadi Mirjana Stojilović Dept. of Computer Engineering Sharif University of Technology Tehran Iran Ecole Polytechnique Federale de Lausanne Lausanne Switzerland

Power gating is a common approach for reducing circuit static power consumption. In FPGAs, resources that dominate static power consumption lie in the routing network. Researchers have proposed several heuristics for clustering multiplexers in routing network into power-gating regions. In this paper, we propose a fundamentally different approach based on K-means clustering, an algorithm commonly used in machine learning. Experimental results on Titan benchmarks and Stratix-IV FPGA architecture show that our proposed clustering algorithms outperform the state of the art. For example, for 32 power-gating regions in FPGA routing switch matrices, we achieve (on average) almost 1.4× higher savings (37.48% vs. 26.94%) in the static power consumption of the FPGA routing resources at lower area overhead than the most efficient heuristic published so far.

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An efficient adaptive online neural spikes detection and classification engine based on Bayesian inference 6

An efficient adaptive online neural spikes detection and cla...

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6th International Conference on Systems and Informatics, ICSAI 2019

作者： Li, Nan Sawan, Mohamad Wang, Lei College of Computer Science National University of Defense Technology Changsha China Polystim Neurotech. Lab Polytechnique Montreal Electrical Engineering Dept. Montreal Canada School of Engineering Westlake University Hangzhou310024 China Institute of Advanced Study Westlake Institute for Advanced Study Hangzhou310024 China

ISBN: (纸本)9781728152561

A new method, called Bayesian inference-based template matching (BIBTM) method, is proposed in this article, which is designed to detect and classify neural spikes from real neural signals. Through this spike detection and classification method, the templates do not need be given in advance, and they can be automatically generated. To evaluate the performance of our method, we built signals with diverse signal-to-noise ratios and firing rates, and also researched two spike template generation methods. Based on the experimental results and comparison, BIBTM method has excellent detection performance. The true positive rates (TPR) and false positive rates (FPR) of the spike detection can reach 0.92 and 0.05 respectively, and the average FPR and average TPR of the spike classification can reach 0.05 and 0.6 respectively. From the discussion and analysis, our proposed BIBTM method not only has high detection and classification accuracy, but also has a simple structure and low complexity. © 2019 IEEE.

关键词： Template matching

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Design and Implementation of a Multiband Quasi-Yagi Antenna

Design and Implementation of a Multiband Quasi-Yagi Antenna

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International Conference on Advanced electrical engineering (ICAEE)

作者： Fouad FERTAS Mouloud CHALLAL Khelil FERTAS Applied Electronics Laboratory Institute of Electrical and Electronic Engineering University M’Hamed BOUGARA of Boumerdes Boumerdes Algeria Electronics Dept. Ecole Polytechnique El-Harrach Algiers Algeria

ISBN: (数字)9781728122205

ISBN: (纸本)9781728122212

In this paper, a coplanar waveguide-fed planar monopole antenna for multiband operations is presented. The antenna consisting of a multistrip Quasi-Yagi element and a coplanar waveguide to coplanar slot fed line, and the electric fields at the coplanar slot line can be excited through the CPW feed line. The proposed antenna can be used in multiband operations with directional radiation patterns. It generate four resonant frequency bands determined by -10dB reflection coefficient, it can cover number useful wireless communication systems; the structure plan of the antenna facilitates its integration with the other circuit components.

关键词： Resonant frequency Antenna radiation patterns Dipole antennas Coplanar waveguides Reflector antennas Ultra wideband antennas

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Stochastic computing with integrated optics

arXiv

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arXiv 2019年

作者： El-Derhalli, Hassnaa Beux, Sébastien Le Tahar, Sofiène Dept. of Electrical and Computer Engineering Concordia University MontrealQC Canada Lyon Institute of Nanotechnology Ecole Centrale de Lyon Lyon France

Stochastic computing (SC) allows reducing hardware complexity and improving energy efficiency of error resilient applications. However, a main limitation of the computing paradigm is the low throughput induced by the intrinsic serial computing of bit-streams. In this paper, we address the implementation of SC in the optical domain, with the aim to improve the computation speed. We implement a generic optical architecture allowing the execution of polynomial functions. We propose design methods to explore the design space in order to optimize key metrics such as circuit robustness and power consumption. We show that a circuit implementing a 2nd order polynomial degree function and operating at 1Ghz leads to 20.1pJ laser consumption per computed bit. Copyright © 2019, The Authors. All rights reserved.

关键词： Stochastic systems

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