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Fractal Graphene Patch Antennas and the THz Communications Revolution

IOP Conference Series: Materials Science and engineering 2021年第1期1060卷

作者： J M Blackledge A Boretti L Rosa S Castelletto School of Electrical and Electronic Engineering Technological University Dublin Ireland Department of Computer Science University of Western Cape South Africa School of Mathematics Statistics and Computer Science University of KwaZulu-Natal South Africa Faculty of Arts Science and Technology Wrexham Glyndwr University of Wales UK Department of Mechanical Engineering College of Engineering Prince Mohammad Bin Fahd University Al Khobar Saudi Arabia Department of Engineering 'Enzo Ferrari' University of Modena and Reggio Emilia Modena Italy and Applied Plasmonics Laboratory Center for Micro-Photonics Swinburne University of Technology Australia School of Engineering Royal Melbourne Institute of Technology Australia

Fractal antennas have and are continuing to receive attention in regard to the future of wireless communications. This is because of their wide- and multi-band capabilities, the opportunity of fractal geometries to drive multiple resonances, and, the ability to make smaller and lighter antennas with fewer components and radiative elements with higher gains. Small scale (i.e. on the micro- and nano-scale) and ultra high frequency (in the Terahertz or THz range) fractal antennas composed of Graphene have the potential to enhance wireless communications at a data rate that is unprecedented, i.e. ∼ 1012 bits per second. A Fractal Graphene antenna is a high-frequency tuneable antenna for radio communications in the THz spectrum, enabling unique applications such as wireless nano-networks. This is because (mono-layer) Graphene is a one-atom-thick two-dimensional allotrope of Carbon with the highest known electrical conductivity that is currently unavailable in any other material, including metals such as Gold and Silver. Thus, combining the properties of Graphene with the self-affine characteristics of a fractal at the micro- and nano-scale, provides the potential to revolutionise communications, at least in the near field (the order of a few metres) for low power systems. In this paper, we consider the basic physics and some of the principle mathematical models associated with the development of this new disruptive technology in order to provide a guide to those engaged in current and future research, a fractal Graphene antenna being an example of an advanced material for demanding applications. This includes some example simulations on the THz field patterns generated by a fractal patch antenna composed of Graphene whose conductivity is taken to scale with the inverse of the frequency according to a 'Drude' model. The approach to generating THz sources using Graphene is also explored based on Infrared laser pumping to induce a THz photo-current.

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Nonmonotone slip problem for miscible liquids

arXiv

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arXiv 2019年

作者： Migórski, Stanislaw Szafraniec, Pawel Chengdu University of Information Technology College of Applied Mathematics Chengdu Sichuan Province610225 China Jagiellonian University in Krakow Faculty of Mathematics and Computer Science ul. Lojasiewicza 6 Krakow30-348 Poland University of Agriculture in Krakow Faculty of Production and Power Engineering ul. Balicka 116B Krakow30-149 Poland

In this paper we prove the existence and uniqueness of a solution to the nonstationary two dimensional system of equations describing miscible liquids with nonsmooth, multivalued and nonmonotone boundary conditions of subdifferential type. We employ the regularized Galerkin method combined with results from the theory of hemivariational inequalities. Copyright © 2019, The Authors. All rights reserved.

关键词： Galerkin methods

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A Fast Near-duplicate Keyframe Detection Method Based on Local Features 17

A Fast Near-duplicate Keyframe Detection Method Based on Loc...

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2017 17th IEEE International Conference on Communication Technology (ICCT 2017)

作者： Xidao Luan Yuxiang Xie Yanming Guo Jingmeng He Lili Zhang Xin Zhang College of Computer Engineering and Applied Mathematics Changsha University College of Information Systems and Management National University of Defense Technology

ISBN: (纸本)9781509039456;9781509039449

Fast near-duplicate keyframe detection is the basis of similar video content and video topic analysis. Traditional solutions based on local features are time-consuming and unsuitable for real-time applications. Considering there are little changes on the angles between similar video keyframes, a fast near-duplicate keyframe detection method based on local features is proposed. Firstly, the feature points are detected in various scales of image pyramids by adopting FAST(Features from Accelerated Segment Test) detection method. Secondly, each feature point is described by BRIEF algorithm. Thirdly, the similar keyframes are recognized based on the pattern entropy. Experiments prove that the proposed method is accurate and efficient, and is suitable for real-time applications of similar video keyframes detection.

关键词： near-duplicate keyframe local features keypoints detection feature description

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AI-based Reconstruction for Fast MRI – A Systematic Review and Meta-analysis

arXiv

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arXiv 2021年

作者： Chen, Yutong Schönlieb, Carola-Bibiane Liò, Pietro Leiner, Tim Dragotti, Pier Luigi Wang, Ge Rueckert, Daniel Firmin, David Yang, Guang National Heart & Lung Institute Imperial College London LondonSW3 6NP United Kingdom Cardiovascular Research Centre Royal Brompton Hospital LondonSW3 6NP United Kingdom Faculty of Biology University of Cambridge CambridgeCB2 1RX United Kingdom Department of Applied Mathematics and Theoretical Physics University of Cambridge CambridgeCB3 0WA United Kingdom Department of Computer Science and Technology University of Cambridge CambridgeCB3 0FD United Kingdom Utrecht University Medical Centre Utrecht3584 CX Netherlands Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2BU United Kingdom Biomedical Imaging Center Rensselaer Polytechnic Institute TroyNY12180 United States Department of Computing Imperial College London LondonSW7 2BU United Kingdom Institute for Medical Informatics Statistics and Epidemiology Technical University of Munich Munich81675 Germany

Compressed sensing (CS) has been playing a key role in accelerating the magnetic resonance imaging (MRI) acquisition process. With the resurgence of artificial intelligence, deep neural networks and CS algorithms are being integrated to redefine the state of the art of fast MRI. The past several years have witnessed substantial growth in the complexity, diversity, and performance of deep learning-based CS techniques that are dedicated to fast MRI. In this meta-analysis, we systematically review the deep learning-based CS techniques for fast MRI, describe key model designs, highlight breakthroughs, and discuss promising directions. We have also introduced a comprehensive analysis framework and a classification system to assess the pivotal role of deep learning in CS-based acceleration for MRI. © 2021, CC BY-NC-ND.

关键词： Compressed sensing

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One pathogen does not an epidemic make: A review of interacting contagions, diseases, beliefs, and stories

arXiv

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arXiv 2025年

作者： Hébert-Dufresne, Laurent Ahn, Yong-Yeol Allard, Antoine Crothers, Jessica W. Dodds, Peter Sheridan Galesic, Mirta Ghanbarnejad, Fakhteh Gravel, Dominique Hammond, Ross A. Lerman, Kristina Lovato, Juniper Openshaw, John J. Redner, S. Scarpino, Samuel V. St-Onge, Guillaume Tangherlini, Timothy R. Young, Jean-Gabriel Vermont Complex Systems Institute University of Vermont BurlingtonVT United States Translational Global Infectious Disease Research Center University of Vermont BurlingtonVT United States Department of Computer Science University of Vermont BurlingtonVT United States Center for Complex Networks and Systems Research Luddy School of Informatics Computing and Engineering Indiana University BloomingtonIN United States Département de physique de génie physique et d’optique Université Laval QuébecQC Canada Department of Pathology and Laboratory Medicine Robert Larner M.D. College of Medicine University of Vermont BurlingtonVT United States Santa Fe Institute Santa FeNM United States Complexity Science Hub Vienna Austria School of Technology and Architecture SRH University of Applied Sciences Heidelberg Leipzig Germany Département de biologie Université de Sherbrooke SherbrookeQC Canada Brown School Washington University in St. Louis St. LouisMO United States The Brookings Institution WashingtonDC United States Information Sciences Institute University of Southern California United States Division of Infectious Diseases and Geographic Medicine Stanford University StanfordCA United States Institute for Experiential AI Northeastern University BostonMA United States Laboratory for the Modeling of Biological and Socio-technical Systems Northeastern University BostonMA United States The Roux Institute Northeastern University PortlandME United States Department of Scandinavian School of Information University of California Berkeley BerkeleyCA United States Department of Mathematics & Statistics University of Vermont BurlingtonVT United States

From pathogens and computer viruses to genes and memes, contagion models have found widespread utility across the natural and social sciences. Despite their success and breadth of adoption, the approach and structure of these models remain surprisingly siloed by field. Given the siloed nature of their development and widespread use, one persistent assumption is that a given contagion can be studied in isolation, independently from what else might be spreading in the population. In reality, countless contagions of biological and social nature interact within hosts (interacting with existing beliefs, or the immune system) and across hosts (interacting in the environment, or affecting transmission mechanisms). Additionally, from a modeling perspective, we know that relaxing these assumptions has profound effects on the physics and translational implications of the models. Here, we review mechanisms for interactions in social and biological contagions, as well as the models and frameworks developed to include these interactions in the study of the contagions. We highlight existing problems related to the inference of interactions and to the scalability of mathematical models and identify promising avenues of future inquiries. In doing so, we highlight the need for interdisciplinary efforts under a unified science of contagions and for removing a common dichotomy between social and biological contagions. Copyright © 2025, The Authors. All rights reserved.

关键词： Histology

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Smart radio environments

arXiv

引用

arXiv 2021年

作者： Gradoni, Gabriele Renzo, Marco Di Díaz-Rubio, Ana Tretyakov, Sergei A. Caloz, Christophe Gradoni, Gabriele Peng, Zhen Alu, Andrea Lerosey, Geoffroy Fink, Mathias Galdi, Vincenzo Cui, Tie Jun Frazier, Benjamin W. Anlage, Steven M. Salucci, Marco Massa, Andrea Cheng, Qiang Wang, Jinghe Jin, Shi Dardari, Davide Decarli, Nicoló Yurduseven, Okan Matthaiou, Michail Kenney, Mitchell Gordon, George Georgiou, Orestis Nguyen, Cam Ly Martini, Enrica Maci, Stefano Wakatsuchi, Hiroki Phang, Sendy School of Mathematical Sciences Department of Electrical and Electronic Engineering University of Nottingham Nottingham United Kingdom Laboratoire des Signaux et Systémes CNRS CentraleSupélec Université Paris-Saclay Gif-sur-Yvette Paris France Department of of Electronics and Nanoengineering Aalto University Espoo Finland META Research Group KU Leuven Belgium School of Mathematical Sciences Department of Electrical and Electronic Engineering University of Nottingham University Park NG72RD United Kingdom Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign IL United States Advanced Science Research Center City University of New York United States Greenerwave 6 rue Jean Calvin Paris75005 France Institut Langevin 1 rue Jussieu Paris75005 France Fields & Waves Lab Department of Engineering University of Sannio Benevento Italy State Key Laboratory of Millimeter Waves Southeast University Nanjing China Applied Physics Laboratory Johns Hopkins University LaurelMD20723 United States Department of Electrical and Computer Engineering Department of Physics Quantum Materials Center University of Maryland College ParkMD20742 United States Trento Italy Chengdu China Beijing China Institute of Electromagnetic Space State Key Laboratory of Millimeter Waves Southeast University Nanjing210096 China National Mobile Communications Research Laboratory Southeast University Nanjing China University of Bologna Bologna Italy Bologna Italy Centre for Wireless Innovation Institute of Electronics Communications and Information Technology Queen’s University Belfast Belfast United Kingdom Department of Electrical and Electronic Engineering University of Nottingham Nottingham United Kingdom Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Wireless System Laboratory Corporate Research & Development Center Toshiba Corporation Kawasaki Japan Department of Information Engineering an

This Roadmap takes the reader on a journey through the research in electromagnetic wave propagation control via reconfigurable intelligent surfaces. Meta-surface modelling and design methods are reviewed along with physical realisation techniques. Several wireless applications are discussed, including beam-forming, focusing, imaging, localisation, and sensing, some rooted in novel architectures for future mobile communications networks towards 6G. © 2021, CC BY.

关键词： Electromagnetic wave propagation

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Entropy Analysis Method for Attacks Detection

Entropy Analysis Method for Attacks Detection

引用

International Scientific-Practical Conference Problems of Infocommunications Science and Technology

作者： Tamara Radivilova Lyudmyla Kirichenko Abed Saif Alghawli V.V. Popovskiy Infocommunication Engineering Department Kharkiv National University of Radio Electronics Kharkiv Ukraine Applied Mathematics Department Kharkiv National University of Radio Electronics Kharkiv Ukraine dept. of Computer Science College of Sciences and Humanities Prince Sattam Bin Abdulaziz University Aflaj Kingdom of Saudi Arabia

ISBN: (数字)9781728141848

ISBN: (纸本)9781728141855

The paper proposes and implements a network traffic analysis method for detecting attacks, which is based on protocol analysis and the maximum entropy method. To analyze the quality of functioning of the proposed method, we used data from a data set that contains traffic of various protocols and DDoS attacks, UDP floods, TCP SYN streams, Ping of Death attacks, and HTTP flood attacks. The proposed method for analyzing the maximum entropy was software implemented and the results of its work showed high-quality attack detection. The method can detect various attacks with a probability of about 94%, while false-positive values did not exceed 10%. The advantage of the method is the early detection of intrusions, due to the rapid calculation of the maximum entropy using the sliding window method.

关键词： Entropy Protocols computer crime Detectors Microsoft Windows Intrusion detection Telecommunication traffic

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Passivity based state synchronization of multi-agent systems via static or adaptive nonlinear dynamic protocols

Passivity based state synchronization of multi-agent systems...

引用

第30届中国控制与决策会议

作者： Zhenwei Liu Meirong Zhang Ali Saberi Anton A.Stoorvogel College of Information Science and Engineering Northeastern University School of Engineering and Applied Science Gonzaga University School of Electrical Engineering and Computer Science Washington State University Department of Electrical Engineering Mathematics and Computer Science University of Twente

This paper studies state synchronization of homogeneous multi-agent systems(MAS) with partial-state coupling(i.e., agents are coupled through part of states). We identify three classes of agents, for which static linear protocols can be designed. They are agent which are squared-down passive, squared-down passifiable via output feedback, or G-minimum-phase with relative degree 1. We find that, for squared-down passive agents, the static protocol does not need any network information, as long as the network graph contains a directed spanning tree, while for the other two classes of agents, the static protocol needs rough information on the network graph, in particular, a lower bound of the non-zero eigenvalues of the Laplacian matrix associated with the network graph. However, when adaptive nonlinear dynamic protocols are utilized, even this rough information about the network is no longer needed for the other two classes of agents.

关键词： Multi-agent system Squared-down passivity State synchronization

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Leaderless state synchronization of homogeneous multi-agent systems via a universal adaptive nonlinear dynamic protocol

Leaderless state synchronization of homogeneous multi-agent ...

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第30届中国控制与决策会议

This paper studies leaderless state synchronization of continuous-time homogeneous multi-agent systems(MAS) with identical general linear *** communication network is with full-state coupling,or partial-state coupling but with additional information *** assume that the communication topology is completely unknown and *** adaptive nonlinear dynamic protocol design is presented to achieve leaderless state synchronization for a *** the full-state coupling case,the protocol design is based on two *** is algebraic Riccati equation(ARE) method,and the other is asymptotic time-scale eigenstructure assignment(ATEA) *** show that the adaptive nonlinear dynamic protocol is universal and does not depend on any information of communication topology such as lower bound of non-zero eigenvalue for the Laplacian matrix associated with the communication topology and the number of agents.

关键词： Multi-agent system Leaderless state synchronization Adaptive protocol design

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Enhanced stability, bistability, and exceptional points in saturable active photonic couplers

引用

Physical Review A 2019年第4期100卷 043834-043834页

作者： Yertay Zhiyenbayev Yannis Kominis Constantinos Valagiannopoulos Vassilios Kovanis Anastasios Bountis Department of Physics Nazarbayev University KZ-010000 Nur-Sultan Kazakhstan School of Applied Mathematical and Physical Science National Technical University of Athens GR-10682 Athens Greece Bradley Department of Electrical and Computer Engineering Virginia Tech Research Center Blacksburg Virginia 22203 USA CREOL The College of Optics & Photonics University of Central Florida Orlando Florida 32816 USA Department of Mathematics Nazarbayev University KZ-010000 Nur-Sultan Kazakhstan

A generic photonic coupler with active and lossy parts, gain saturation, and asymmetric characteristics is examined. Saturable activity is shown to be able to enhance the overall stability of the steady states, prevent evolution to undesirable unbounded modes, and allow for bistable operation in specific regions of the parametric space. Both stability and bistability are studied in the phase space of the system, where the basins of attraction of each state are identified, providing an accurate description of the dependence of the electric fields on the initial conditions. Continuous families of exceptional points are detected via suitable regulation of the coupling and asymmetry features of the configuration. In this way, a complete description of the nonlinear dynamics landscape is provided, which should be crucial for multiple application-driven designs incorporating such a ubiquitous optical component.

关键词： Integrated optics Nonlinear optics Nonlinear waveguides Optical bistability Photorefractive & Kerr effects Coupled oscillators Dynamical systems Nonlinear waves Waveguide arrays Chaos & nonlinear dynamics Phase space methods

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