Search results for "multilayer"

showing 10 items of 141 documents

Modelling of Pulsed Electro Acoustic Method for Space Charge Detection on Single and Multilayer Dielectrics

Space charge PEA method Simulation Modelling Dielectric Multilayer HVDC.
researchProduct

Analysing Student Performance using Sparse Data of Core Bachelor Courses

2015

Curricula for Computer Science (CS) degrees are characterized by the strong occupational orientation of the discipline. In the BSc degree structure, with clearly separate CS core studies, the learning skills for these and other required courses may vary a lot, which is shown in students' overall performance. To analyze this situation, we apply nonstandard educational data mining techniques on a preprocessed log file of the passed courses. The joint variation in the course grades is studied through correlation analysis while intrinsic groups of students are created and analyzed using a robust clustering technique. Since not all students attended all courses, there is a nonstructured sparsity…

Sparse Educational Datacurricula refinementCorrelation Analysiskolmiomittaussparse educational datacorrelation analysisRobust ClusteringComputingMilieux_COMPUTERSANDEDUCATIONmultilayer perceptronMultilayer PerceptrontriangulationCurricula Refinementrobust clustering
researchProduct

FPGA implementation of Spiking Neural Networks

2012

Abstract Spiking Neural Networks (SNN) have optimal characteristics for hardware implementation. They can communicate among neurons using spikes, which in terms of logic resources, means a single bit, reducing the logic occupation in a device. Additionally, SNN are similar in performance compared to other neural Artificial Neural Network (ANN) architectures such as Multilayer Perceptron, and others. SNN are very similar to those found in the biological neural system, having weights and delays as adjustable parameters. This work describes the chosen models for the implemented SNN: Spike Response Model (SRM) and temporal coding is used. FPGA implementation using VHDL language is also describe…

Spiking neural networkPhysical neural networkQuantitative Biology::Neurons and CognitionArtificial neural networkbusiness.industryTime delay neural networkComputer scienceMultilayer perceptronComputer Science::Neural and Evolutionary ComputationArtificial intelligencebusinessField-programmable gate arrayHardware_LOGICDESIGNIFAC Proceedings Volumes
researchProduct

Artificial neural network comparison for a SHM procedure applied to composite structures.

2013

In this paper different architectures of Artificial Neural Networks (ANNs) for structural damage detection are studied. The main objective is to create an ANN able to detect and localize damage without any prior knowledge on its characteristics so as to serve as a realtime data processor for SHM systems. Two different architectures are studied: the standard feed-forward Multi Layer Perceptron (MLP) and the Radial Basis Function (RBF) ANNs. The training data are given, in terms of a Damage Index ℑD, properly defined using the piezoelectric sensor signal output to obtain suitable information on the damage position and dimensions. The electromechanical response of the assembled structure has b…

Structural Health Monitoring Multilayer Perceptron Radial Basis Function Boundary Element MethodSettore ING-IND/04 - Costruzioni E Strutture Aerospaziali
researchProduct

Effect of carrier transfer on the PL intensity in self-assembled In (Ga) As/GaAs quantum rings

2006

We present results concerning the carrier transfer between In(Ga)As quantum rings in a stacked multilayer structure, which is characterised by a bimodal size distribution. This transfer of carriers explains the observed temperature behaviour of diode lasers based on that kind of stacked layer structures. The inter-ring carrier transfer can be possible by phonon assisted tunnelling from the ground state of the smallring family towards the big-ring family of the bimodal size distribution. This process is thermally activated in the range 40–80 K.

SuperlatticesPhononChemistrybusiness.industrySuperlatticeCondensed Matter PhysicsMolecular physicsElectronic Optical and Magnetic MaterialsTunnel effectOpticsMultilayersCr-III-V semiconductorsThin filmGround statebusinessInstrumentationQuantum tunnellingDiodeMolecular beam epitaxyThe European Physical Journal Applied Physics
researchProduct

An AI Walk from Pharmacokinetics to Marketing

2009

This work is intended for providing a review of reallife practical applications of Artificial Intelligence (AI) methods. We focus on the use of Machine Learning (ML) methods applied to rather real problems than synthetic problems with standard and controlled environment. In particular, we will describe the following problems in next sections: • Optimization of Erythropoietin (EPO) dosages in anaemic patients undergoing Chronic Renal Failure (CRF). • Optimization of a recommender system for citizen web portal users. • Optimization of a marketing campaign. The choice of these problems is due to their relevance and their heterogeneity. This heterogeneity shows the capabilities and versatility …

Support vector machineEngineeringComputingMethodologies_PATTERNRECOGNITIONAdaptive resonance theoryArtificial neural networkbusiness.industryMultilayer perceptronReinforcement learningArtificial intelligencebusinessCluster analysisFuzzy logicHierarchical clustering
researchProduct

Integration of GMR sensors with different technologies

2016

Less than thirty years after the giant magnetoresistance (GMR) effect was described, GMR sensors are the preferred choice in many applications demanding the measurement of low magnetic fields in small volumes. This rapid deployment from theoretical basis to market and state-of-the-art applications can be explained by the combination of excellent inherent properties with the feasibility of fabrication, allowing the real integration with many other standard technologies. In this paper, we present a review focusing on how this capability of integration has allowed the improvement of the inherent capabilities and, therefore, the range of application of GMR sensors. After briefly describing the …

SystemEngineeringTechnologyPerformanceIntegrationThermal agitationintegration02 engineering and technologyMicroarraylcsh:Chemical technology01 natural sciencesBiochemistryAnalytical ChemistryGMR; integration; technology:Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors [Àrees temàtiques de la UPC]MicroelectronicsAtomic and Molecular Physicslcsh:TP1-1185Instrumentation010302 applied physicsElectrical engineeringGMRDetectors021001 nanoscience & nanotechnologyFunctional systemAtomic and Molecular Physics and Optics:Enginyeria electrònica::Microelectrònica [Àrees temàtiques de la UPC]CMOStechnology0210 nano-technologyCmosGiant magnetoresistanceMicroelectrònicaNoise (electronics)ArticleFabricationLow temperature deposition0103 physical sciencesElectronic engineeringElectronicsSensitivity (control systems)Electrical and Electronic Engineeringbusiness.industryGiant magnetoresistance sensorsMultilayersNanoparticlesand OpticsElectronicsbusinessGMR; Integration; Technology; Analytical Chemistry; Atomic and Molecular Physics and Optics; Biochemistry; Electrical and Electronic Engineering
researchProduct

Movie Script Similarity Using Multilayer Network Portrait Divergence

2020

International audience; This paper addresses the question of movie similarity through multilayer graph similarity measures. Recent work has shown how to construct multilayer networks using movie scripts, and how they capture different aspects of the stories. Based on this modeling, we propose to rely on the multilayer structure and compute different similarities, so we may compare movies, not from their visual content, summary, or actors, but actually from their own storyboard. We propose to do so using “portrait divergence”, which has been recently introduced to compute graph distances from summarizing graph characteristics. We illustrate our approach on the series of six Star Wars movies.

Theoretical computer scienceComputer science02 engineering and technologyStar (graph theory)[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]computer.software_genre01 natural sciences010305 fluids & plasmas[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Similarity (network science)[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]0103 physical sciences0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]StoryboardDivergence (statistics)Structure (mathematical logic)Network portraitMoviesMultilayer networksNetwork similarity[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]Construct (python library)Scripting languageGraph (abstract data type)020201 artificial intelligence & image processingcomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
researchProduct

Electrophysical, Magnetoresistivity and Magneto-optical Properties of Multilayer Materials Based on Nanocrystalline and Amorphous Films

2012

In work is presented to the results of complex investigate of phase formation, thermal resistivite, magnetoresistive and magneto-optical properties of multilayers based Fe and Pd, Ag or Ge, which obtained by sequential condensation of the layers with following thermal annealing. Investigation of phase formation processes of thin film systems and established of correlation between this processes and above-mention physical properties. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/35009

Thermal coefficient of resistivityPhase formationDouble-layer filmMOKEMagnetoresistanceMultilayerAnnealing
researchProduct

An analytical solution for multilayered beams subjected to ends loads

2014

An alternative model for multilayered beams undergoing axial, shear and bending loads applied at the beam's ends is developed. It is based on a layer-wise kinematics, which inherently fulfills the equilibrium equations at layer level and the interface continuity conditions. This kinematics is suitably expressed by introducing a set of generalized variables representative of the beam midline displacement field, which become the primary variables of the problem governing equations. As a consequence, the proposed beam model exhibits the computational characteristics of an equivalent single layer model and possesses the accuracy of layer-wise beam theories, as well. Closed form solutions for di…

Timoshenko beam theoryConjugate beam methodMaterials scienceAnalytical solutionbusiness.industryStructural engineeringKinematicsMechanicsComposite laminatesEquilibrium equationBeam theorieDisplacement fieldMultilayered compositeCeramics and CompositesPhysics::Accelerator PhysicsSettore ING-IND/04 - Costruzioni E Strutture AerospazialibusinessBeam (structure)Single layerCivil and Structural EngineeringComposite Structures
researchProduct