Search results for "0906 Electrical and Electronic Engineering"

showing 3 items of 3 documents

Low-Power Wide-Area Networks for Sustainable IoT

2019

Low-power wide-area (LPWA) networks are attracting extensive attention because of their abilities to offer low-cost and massive connectivity to Internet of Things (IoT) devices distributed over wide geographical areas. This article provides a brief overview on the existing LPWA technologies and useful insights to aid the large-scale deployment of LPWA networks. Particularly, we first review the currently competing candidates of LPWA networks, such as narrowband IoT (NB-IoT) and long range (LoRa), in terms of technical fundamentals and large-scale deployment potential. Then we present two implementation examples on LPWA networks. By analyzing the field-test results, we identify several chall…

FOS: Computer and information sciencesComputer scienceComputer Science - Information Theory0805 Distributed Computing02 engineering and technologylaw.inventionComputer Science - Networking and Internet ArchitectureBluetoothGSMlaw1005 Communications Technologies0202 electrical engineering electronic engineering information engineeringBandwidth (computing)Resource managementElectrical and Electronic EngineeringNetworking and Internet Architecture (cs.NI)business.industryInformation Theory (cs.IT)020206 networking & telecommunicationsComputer Science ApplicationsPower (physics)0906 Electrical and Electronic EngineeringWide areaSoftware deploymentNetworking & TelecommunicationsTelecommunicationsbusinessInternet of Things
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Journeys from quantum optics to quantum technology

2017

Sir Peter Knight is a pioneer in quantum optics which has now grown to an important branch of modern physics to study the foundations and applications of quantum physics. He is leading an effort to develop new technologies from quantum mechanics. In this collection of essays, we recall the time we were working with him as a postdoc or a PhD student and look at how the time with him has influenced our research.

EngineeringTechnologyAtomic and Molecular Physics and OpticEmerging technologiesQuantum technologiesTRAPPED IONQuantum physicsSINGLE-ATOM0205 Optical PhysicsPhysics - History and Philosophy of PhysicsNONCLASSICAL MOTIONAL STATESFOS: Physical sciences01 natural sciences010305 fluids & plasmasTheoretical physicsQC350Engineering0202 Atomic Molecular Nuclear Particle And Plasma Physics0103 physical sciencesPERIODIC LEVEL-CROSSINGSStatistical and Nonlinear Physics; Electronic Optical and Magnetic Materials; Atomic and Molecular Physics and Optics; Electrical and Electronic EngineeringHistory and Philosophy of Physics (physics.hist-ph)ULTRAFAST MOLECULAR-DYNAMICSElectrical and Electronic Engineering010306 general physicsQCQuantum opticsScience & Technologybusiness.industryElectronic Optical and Magnetic MaterialModern physics0906 Electrical And Electronic EngineeringINDUCED ELECTRON-DIFFRACTIONStatistical and Nonlinear PhysicsEngineering Electrical & ElectronicOpticsModern physicsAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsQuantum technologyQuantum theoryINDUCED CONTINUUM STRUCTUREHIGH-HARMONIC-GENERATIONENTANGLED COHERENT STATESQuantum Physics (quant-ph)businessBAND SQUEEZED VACUUMStatistical and Nonlinear Physic
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Crowd-Averse Robust Mean-Field Games: Approximation via State Space Extension

2016

We consider a population of dynamic agents, also referred to as players. The state of each player evolves according to a linear stochastic differential equation driven by a Brownian motion and under the influence of a control and an adversarial disturbance. Every player minimizes a cost functional which involves quadratic terms on state and control plus a cross-coupling mean-field term measuring the congestion resulting from the collective behavior, which motivates the term “crowd-averse.” Motivations for this model are analyzed and discussed in three main contexts: a stock market application, a production engineering example, and a dynamic demand management problem in power systems. For th…

0209 industrial biotechnologyStochastic stabilityMathematical optimizationCollective behaviorTechnologyComputer sciencePopulationcontrol designcrowd-averse robust mean-field games state space extension dynamic agents linear stochastic differential equation Brownian motion adversarial disturbance cost functional cross-coupling mean-field term collective behavior stock market application production engineering example dynamic demand management problem robust mean-field game approximation error stochastic stability microscopic dynamics macroscopic dynamicscontrol engineering02 engineering and technology01 natural sciencesStochastic differential equationoptimal control020901 industrial engineering & automationQuadratic equationAutomation & Control SystemsEngineeringClosed loop systemsSettore ING-INF/04 - AutomaticaApproximation errorRobustness (computer science)Control theory0102 Applied MathematicsState space0101 mathematicsElectrical and Electronic EngineeringeducationBrownian motioneducation.field_of_studyScience & TechnologyStochastic process010102 general mathematicsRelaxation (iterative method)Engineering Electrical & ElectronicOptimal controlComputer Science Applications0906 Electrical and Electronic EngineeringIndustrial Engineering & AutomationMean field theoryControl and Systems EngineeringSettore MAT/09 - Ricerca Operativa0913 Mechanical Engineering
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