Search results for "Signal Processing"

showing 10 items of 2451 documents

Optimal matching between optical rectennas and harvester circuits

2017

This paper deals with optimal coupling issues between rectennas and harvesting circuits. An optical rectenna consists of a nanoantenna usually coupled with an ultra-high speed rectifier. These devices aim to receive and convert solar and thermal radiation in a DC voltage, while a harvester circuit provides the energy to be stored. The rectenna impedance is influenced both by its structure and by the rectifying diode, the harvester circuit impedance has to be matched to optimize the power transfer. The purpose of this contribution is to discuss the best impedance conditions by taking into account the constraints that are due to the individual devices the conversion system consist of. Finally…

energy harvestingEngineeringEnvironmental EngineeringrectennaEnergy Engineering and Power Technology02 engineering and technologyHardware_PERFORMANCEANDRELIABILITYSettore ING-INF/01 - Elettronica01 natural sciencesIndustrial and Manufacturing EngineeringRectifier0103 physical sciencesElectronic engineeringHardware_INTEGRATEDCIRCUITSMaximum power transfer theoremElectrical and Electronic Engineering010306 general physicsElectrical impedanceElectronic circuitDiodeimpedance matchingbusiness.industryElectrical engineering021001 nanoscience & nanotechnologyRectennaImpedance and Voltage matchingnanoantenna0210 nano-technologybusinessEnergy harvestingEnergy (signal processing)
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Classification of Solutions to the Minimum Energy Problem in One Dimensional Sensor Networks

2016

We classify of the minimum energy problem in one dimensional wireless sensor networks for the data transmission cost matrix which is a power function of the distance between transmitter and receiver with any real exponent. We show, how these solutions can be utilized to solve the minimum energy problem for the data transmission cost matrix which is a linear combination of two power functions. We define the minimum energy problem in terms of the sensors signal power, transmission time and capacities of transmission channels. We prove, that for the point-to-point data transmission method utilized by the sensors in the physical layer, when the transmitter adjust the power of its radio signal t…

energy managementComputer sciencechannel capacityData_CODINGANDINFORMATIONTHEORY02 engineering and technologyMachine learningcomputer.software_genreTopologySignalInterference (communication)0202 electrical engineering electronic engineering information engineeringsensor networkComputer Science::Information Theorybusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSTransmitter020206 networking & telecommunicationsTransmission (telecommunications)020201 artificial intelligence & image processingArtificial intelligenceTransmission timebusinessWireless sensor networkcomputerEnergy (signal processing)Data transmission
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Energy and environmental assessment of retrofit actions on a residential building

2014

Energy and environmental performances of buildings strictly depend on many factors related to the choice of construction materials, technical equipment, installation and use. In the following chapter a set of retrofit actions to improve the thermal performance of an existing conventional building is presented. The energy and environmental assessment of these actions is carried out following a life cycle approach. The embodied energy and the environmental impacts arisen from the production, transportation and installation phases of the required materials and components are calculated. Further, energy saving and environmental benefits and drawbacks concerning the assessed retrofit actions are…

environmental assessment - retrofit actionsArchitectural engineeringSettore ING-IND/11 - Fisica Tecnica AmbientaleEnvironmental scienceProduction (economics)Environmental impact assessmentEmbodied energyLife-cycle assessmentEnergy (signal processing)
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Movement Detection with Event-Based Cameras: Comparison with Frame-Based Cameras in Robot Object Tracking Using Powerlink Communication

2018

Event-based cameras are not common in industrial applications despite the fact that they can add multiple advantages for applications with moving objects. In comparison with frame-based cameras, the amount of generated data is very low while keeping the main information in the scene. For an industrial environment with interconnected systems, data reduction becomes very important to avoid network congestion and provide faster response time. However, the use of new sensors as event-based cameras is not common since they do not usually provide connectivity to industrial buses. This work develops a network node based on a Field Programmable Gate Array (FPGA), including data acquisition and trac…

event-based cameraComputer Networks and CommunicationsComputer scienceReal-time computinglcsh:TK7800-836002 engineering and technologyData acquisitionControl theoryRobustness (computer science)0202 electrical engineering electronic engineering information engineeringPowerlink busElectrical and Electronic Engineeringobject trackingEnginyeria elèctricaPowerlink FPGA controlled nodeInverse kinematicsEvent (computing)Node (networking)lcsh:Electronics020208 electrical & electronic engineeringFrame (networking)two-axis robotevent-based processingHardware and ArchitectureControl and Systems EngineeringVideo trackingSignal ProcessingRobot020201 artificial intelligence & image processingRobotsElectronics
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Positive L1 observer design for positive Switched systems

2014

Published version of an article in the journal: Circuits, Systems, and Signal Processing. Also available from the publisher at: http://dx.doi.org/10.1007/s00034-013-9737-6 This paper investigates the problem of L1 observer design for positive switched systems. Firstly, a new kind of positive L1 observer is proposed for positive switched linear delay-free systems with observable and unobservable subsystems. Based on the average dwell time approach, a sufficient condition is proposed to ensure the existence of the positive L1 observer. Under the condition obtained, the estimated error converges to zero exponentially, and the L1 -gain from the disturbance input to the estimated error is less t…

exponetial stabiblityApplied MathematicsSignal ProcessingVDP::Technology: 500::Mechanical engineering: 570positive observerswitched systemstime-varying delaysAverage dwell time; Exponential stability; Positive observer; Switched systems; Time-varying delays; Signal Processing; Applied MathematicsExponential stabilityVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411average dwell time
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FLUMO: FLexible Underwater MOdem

2019

The last years have seen a growing interest in underwater acoustic communications because of its applications in marine research, oceanography, marine commercial operations, the offshore oil industry and defense. High-speed communication in the underwater acoustic channel has been challenging because of limited bandwidth, extended multipath, refractive properties of the medium, severe fading, rapid time variation and large Doppler shifts. In this paper, we show an implementation of a flexible Software-Defined Acoustic (SDA) underwater modem, where modulation parameters are completely tunable to optimize performance. In particular, we develop the system architecture following two key ideas. …

extended multipathSDAOrthogonal frequency-division multiplexingComputer sciencemarine commercial operationsUnderwater; acoustic ; software defined ; modem; JANUS; SDA; FSK; RedPitaya; WatermarkSettore ING-INF/01 - ElettronicaacousticFSKmodulate signalsDemodulationcontrolled testbedsUnderwaterunderwater acoustic channelOFDMFrequency-shift keyingFLUMOunderwater acoustic communicationsBandwidth (signal processing)Frequency shift keyingflexible Software-Definedoffshore oil industrysoftware definedRedPitayaflexible underwater MOdemmodulated signalsmodulation parameterstunable systemrefractive propertiesMultipath propagationStandardssystem architectureDoppler shiftsunderwater acoustic communicationhigh-speed communicationflexible systemElectronic engineeringDoppler shiftFadingoceanographymodemSettore ING-INF/03 - Telecomunicazionirapid time variationField programmable gate arraysmarine researchmodemsJANUSWatermarkSystems architectureUnderwater
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Financial Stress and Basis in Energy Markets

2021

We investigate the relationship between energy commodities bases, inventory and financial stress from 1994 to 2018. We find that, from the 1998 Asian crisis the effect of financial stress on energy commodities bases gradually increased and from the 2008 crisis became positive, while the effect of inventory showed a gradual decline over time. The reactions of bases to changes in financial stress is nonlinear, as they are higher in the high financial stress periods. This is more profound in crude oil market than heating oil and natural gas. Moreover, the reactions of bases to the changes in inventory is nonlinear, as the reactions are lower when the inventory level is high confirming the theo…

financial stresshinnanmuodostusEconomics and Econometricsenergy market basesBasis (linear algebra)commoditiefinancehyödykkeetMonetary economicstaloudelliset kriisitGeneral EnergyenergiamarkkinatinventoriesFinancial stressEconomicsEnergy (signal processing)basienergy
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Adaptive variable structure fuzzy neural identification and control for a class of MIMO nonlinear system

2013

This paper presents a novel adaptive variable structure (AVS) method to design a fuzzy neural network (FNN). This AVS-FNN is based on radial basis function (RBF) neurons, which have center and width vectors. The network performs sequential learning through sliding data window reflecting system dynamic changes, and dynamic growing-and-pruning structure of FNN. The salient characteristics of the AVS-FNN are as follows: (1) Structure-learning and parameters estimation are performed automatically and simultaneously without partitioning input space and selecting initial parameters a priori. The structure-learning approach relies on the contribution of the size of the output. (2) A set of fuzzy r…

fuzzy neural networkArtificial neural networkNeuro-fuzzyComputer Networks and CommunicationsApplied MathematicsProcess (computing)Fuzzy logicWeightingControl and Systems EngineeringControl theorySignal ProcessingA priori and a posterioriRadial basis functionSequence learningMathematics
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Joint Sub-Carrier and Power Allocation for Efficient Communication of Cellular UAVs

2020

| openaire: EC/H2020/857031/EU//5G!Drones Cellular networks are expected to be the main communication infrastructure to support the expanding applications of Unmanned Aerial Vehicles (UAVs). As these networks are deployed to serve ground User Equipment (UEs), several issues need to be addressed to enhance cellular UAVs’ services. In this paper, we propose a realistic communication model on the downlink, and we show that the Quality of Service (QoS) for the users is affected by the number of interfering BSs and the impact they cause. The joint problem of sub-carrier and power allocation is therefore addressed. Given its complexity, which is known to be NP-hard, we introduce a solution based …

game theorySignal Processing (eess.SP)FOS: Computer and information sciencescellular networksComputer scienceDistributed computing02 engineering and technologyComputer Science - Networking and Internet ArchitectureTelecommunications linkFOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringWirelessElectrical Engineering and Systems Science - Signal ProcessingElectrical and Electronic EngineeringUnmanned aerial vehicles (UAVs)Networking and Internet Architecture (cs.NI)business.industryApplied MathematicsQuality of serviceMatching game020206 networking & telecommunicationsdownlink communicationComputer Science ApplicationsModels of communicationCellular networkbusinessGame theoryIEEE Transactions on Wireless Communications
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Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection

2016

International audience; This paper addresses the problem of automatic classification of Spectral Domain OCT (SD-OCT) data for automatic identification of patients with Diabetic Macular Edema (DME) versus normal subjects. Optical Coherence Tomography (OCT) has been a valuable diagnostic tool for DME, which is among the most common causes of irreversible vision loss in individuals with diabetes. Here, a classification framework with five distinctive steps is proposed and we present an extensive study of each step. Our method considers combination of various pre-processings in conjunction with Local Binary Patterns (LBP) features and different mapping strategies. Using linear and non-linear cl…

genetic structures[INFO.INFO-IM] Computer Science [cs]/Medical Imaging[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0302 clinical medicine[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Segmentationlcsh:OphthalmologySpeckleLBPDiagnosisPrevalencePreprocessorComputer visionSegmentationmedicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingExperimental validationDiabetic Macular Edema[ SDV.MHEP.OS ] Life Sciences [q-bio]/Human health and pathology/Sensory OrgansOptical Coherence Tomography[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingResearch ArticleArticle SubjectLocal binary patterns03 medical and health sciencesSpeckle patternOptical coherence tomography[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyMedical imagingmedicineDME[INFO.INFO-IM]Computer Science [cs]/Medical ImagingCoherence (signal processing)Texture[SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory OrgansRetinopathy[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitioneye diseasesOphthalmologyOCTlcsh:RE1-994030221 ophthalmology & optometryImagesArtificial intelligencebusiness030217 neurology & neurosurgery[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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