Search results for "kl"

showing 10 items of 5772 documents

Amando Blanquer Ponsoda y su aportación al Concurso de Composición de Música Festera de Alcoy

2013

Este artículo pretende dar a conocer la aportación del compositor Amando Blanquer Ponsoda al Concurso de Composición de Música Festera de Alcoy, a través del análisis estilístico y musical del pasodoble Musical Apolo (1956) y de la marcha mora L¿embaixador (1959) que fueron primeros premios en este certamen. El análisis musical desarrollado se ha centrado principalmente en los elementos más importantes de la Música Festera como son: el ritmo, la melodía y la forma, sin descuidar otros como la armonía o la instrumentación, constituyendo los primeros el eje base del estudio analítico. Creemos que estas premisas resultan imprescindibles, si queremos llegar a obtener un grado de información sat…

Composició musicalFolkloreMúsica
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La aportación de José María Ferrero Pastor a la música de Moros y Cristianos de Alcoy

2014

Este artículo pretende acercar al lector la aportación del compositor Jose María Ferrero Pastor (1926-1987) a la música de Moros y Cristianos de Alcoy. En él se analizarán desde el punto de vista estilístico y musical, las tres marchas moras que fueron primeros premios en el Concurso de Composición de Música Festera de Alcoy : El Berberisch (1961), Bon Capità (1971) y El Kabila (1980).

Composició musicalFolkloreMúsica
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A Predictive Approach for the Efficient Distribution of Agent-Based Systems on a Hybrid-Cloud

2018

International audience; Hybrid clouds are increasingly used to outsource non-critical applications to public clouds. However, the main challenge within such environments, is to ensure a cost-efficient distribution of the systems between the resources that are on/off premises. For Multi Agent Systems (MAS), this challenge is deepened due to irregular workload progress and intensive communication between the agents, which may result in high computing and data transfer costs. Thus, in this paper we propose a generic framework for adaptive cost-efficient deployment of MAS with a special focus on hybrid clouds. The framework is based mainly on the use of a performance evaluation process that con…

Computer Networks and Communicationsbusiness.industryProcess (engineering)Computer scienceAgent-Based SystemDistributed computingMulti-agent systemDeployment020206 networking & telecommunicationsCloud computingWorkload02 engineering and technologyOutsourcingHardware and ArchitectureSoftware deployment[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Prediction ProcessGraph partitioning algorithm0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingMetricsState (computer science)Hybrid CloudbusinessSoftware
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Cryptanalysis of Knapsack Cipher Using Ant Colony Optimization

2018

Ant Colony Optimization is a search metaheuristic inspired by the behavior of real ant colonies and shown their effectiveness, robustness to solve a wide variety of complex problems. In this paper, we present a novel Ant Colony Optimization (ACO) based attack for cryptanalysis of knapsack cipher algorithm. A Cipher-text only attack is used to discover the plaintext from the cipher-text. Moreover, our approach allows us to break knapsack cryptosystem in a minimum search space when compared with other techniques. Experimental results prove that ACO can be used as an effective tool to attack knapsack cipher.

Computer scienceAnt colony optimization algorithmsMathematicsofComputing_NUMERICALANALYSISMerkle–Hellman knapsack cryptosystemPlaintextData_CODINGANDINFORMATIONTHEORYAnt colonyComputingMethodologies_ARTIFICIALINTELLIGENCElaw.inventionKnapsack problemlawTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYCryptosystemCryptanalysisAlgorithmMetaheuristicSSRN Electronic Journal
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How neurophysiological measures can be used to enhance the evaluation of remote tower solutions

2019

New solutions in operational environments are often, among objective measurements, evaluated by using subjective assessment and judgment from experts. Anyhow, it has been demonstrated that subjective measures suffer from poor resolution due to a high intra and inter-operator variability. Also, performance measures, if available, could provide just partial information, since an operator could achieve the same performance but experiencing a different workload. In this study, we aimed to demonstrate: (i) the higher resolution of neurophysiological measures in comparison to subjective ones; and (ii) how the simultaneous employment of neurophysiological measures and behavioral ones could allow a…

Computer scienceApplied psychologyJudgementElectroencephalographyasSWLDA050105 experimental psychologylcsh:RC321-571Arousal03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineasSWLDA; ECG; EEG; eye blink; GSR; machine learning; mental workload; remote tower air traffic managementRemote Tower Air Traffic Managementmedicine0501 psychology and cognitive sciencesGSREEGlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryOriginal ResearchMental Workloadmedicine.diagnostic_testECG[SCCO.NEUR]Cognitive science/Neuroscience05 social sciencesHuman NeuroscienceWorkloadNeurophysiologyAir traffic controlPsychiatry and Mental healthNeuropsychology and Physiological Psychologymachine learningNeurologyDesign processSkin conductance030217 neurology & neurosurgeryEye blink
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The promise of spintronics for unconventional computing

2021

Novel computational paradigms may provide the blueprint to help solving the time and energy limitations that we face with our modern computers, and provide solutions to complex problems more efficiently (with reduced time, power consumption and/or less device footprint) than is currently possible with standard approaches. Spintronics offers a promising basis for the development of efficient devices and unconventional operations for at least three main reasons: (i) the low-power requirements of spin-based devices, i.e., requiring no standby power for operation and the possibility to write information with small dynamic energy dissipation, (ii) the strong nonlinearity, time nonlocality, and/o…

Computer scienceFOS: Physical sciencesApplied Physics (physics.app-ph)02 engineering and technology01 natural sciencesQuantum nonlocalityAffordable and Clean EnergyBlueprintMesoscale and Nanoscale Physics (cond-mat.mes-hall)0103 physical sciencescond-mat.mes-hallElectronic engineeringHardware_ARITHMETICANDLOGICSTRUCTURESStandby powerApplied Physics010302 applied physicsSpintronicsCondensed Matter - Mesoscale and Nanoscale PhysicsMechanical EngineeringReservoir computingPhysics - Applied PhysicsMaterials EngineeringPhysik (inkl. Astronomie)Dissipation021001 nanoscience & nanotechnologyCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsCMOS integrated circuits; Computation theory; Energy dissipation; Green computing; Spin fluctuations; Spintronics; Tunnel junctionsCMOS0210 nano-technologyUnconventional computingphysics.app-ph
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Application of Model Predictive Control in Discrete Displacement Cylinders to Drive a Knuckle Boom Crane

2018

In this paper, two Discrete Displacement Cylinders (DDCs) are used to drive the boom of a knuckle boom crane. DDCs operate by connecting one of several available pressure levels to each chamber in order to produce different forces. A trade-off exists with such systems, between the accuracy of tracking and energy dissipation due to switching. A popular way to approach this problem is a Force Shifting Algorithm (FSA). However, in this paper, the trade-off is managed by use of a Model Predictive Control (MPC) algorithm. The tracking accuracy and energy efficiency of the MPC and FSA strategies for DDCs are compared to a PID strategy for standard cylinders. The comparison is obtained by use of a…

Computer sciencePID controllerDissipationKnuckle Boom CraneBoomDisplacement (vector)Model predictive controlKnucklemedicine.anatomical_structureControl theoryDiscrete Displacement CylindersmedicineModel predictive controlEnergy (signal processing)Efficient energy use
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Automatic fringe pattern enhancement using truly adaptive period-guided bidimensional empirical mode decomposition.

2020

Fringe patterns encode the information about the result of a measurement performed via widely used optical full-field testing methods, e.g., interferometry, digital holographic microscopy, moiré techniques, structured illumination etc. Affected by the optical setup, changing environment and the sample itself fringe patterns are often corrupted with substantial noise, strong and uneven background illumination and exhibit low contrast. Fringe pattern enhancement, i.e., noise minimization and background term removal, at the pre-processing stage prior to the phase map calculation (for the measurement result decoding) is therefore essential to minimize the jeopardizing effect the mentioned error…

Computer sciencePhase contrast microscopyStructured illumination microscopy02 engineering and technology01 natural sciencesHilbert–Huang transformlaw.invention010309 opticsOpticslaw0103 physical sciencesbusiness.industrySignal reconstructionVDP::Technology: 500Moiré patternFilter (signal processing)021001 nanoscience & nanotechnologyAtomic and Molecular Physics and OpticsInterferometryVDP::Teknologi: 500Digital holographic microscopySpatial frequencySpeckle imaging0210 nano-technologybusinessAlgorithmOptics express
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Reducing Power Consumption of Wireless Networks Through Collaborative DMC Mobile Clusters

2017

Reducing the energy consumption of the wireless network is significantly important to the economic and ecological sustainability of the ICT industry, as high energy consumption may limit the performance of wireless networks and is one of the main network costs. To solve energy consumption problem, especially on the terminal side, a scheme known as distributed mobile cloud (DMC) is considered to be a potential solution. Multiple mobile terminals (MTs) can cooperative to take advantage of good quality links among the MTs to save energy when receiving from the Base Station (BS). In this paper, we aim to find the optimal transmit power to further reduce the energy consumption of DMC. From simul…

Computer scienceReal-time computingkulutusmatkaviestinverkot02 engineering and technologyteho (fysiikka)energiansäästöklusteritBase station0203 mechanical engineeringDMCLimit (music)0202 electrical engineering electronic engineering information engineeringtransmit powerElectrical and Electronic EngineeringConsumption (economics)business.industryWireless networkpower consumption020206 networking & telecommunications020302 automobile design & engineeringEnergy consumptionTransmitter power outputComputer Science ApplicationsTerminal (electronics)green communicationsbusinessEnergy (signal processing)Computer networkWireless Personal Communications
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An Optical Remote Sensor for Fingerprint Identification using Speckle Pattern

2017

The implementation of a simple, inexpensive optical device for remote fingerprint identification is presented. The sensor is based on temporal tracking of back-reflected secondary speckle patterns generated while illuminating a finger with a laser.

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyLaserTracking (particle physics)law.inventionSpeckle pattern020210 optoelectronics & photonicsOptical sensinglaw0202 electrical engineering electronic engineering information engineeringBeam expanderComputer visionArtificial intelligenceSpeckle imagingbusinessLaser beamsRemote sensingConference on Lasers and Electro-Optics
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