Search results for "SIMULATION"

showing 10 items of 5095 documents

Exploiting Deductive Processes for Automated Network Management

2005

This paper focuses on improving network management by the adoption of artificial intelligence techniques. We propose a distributed multiagent architecture for network management, which exploits the dynamic reasoning capabilities of the situation calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by programmable sensors deployed on the network devices and is collected by a logical entity for network managing where it is merged with general domain knowledge, with a view to identifying the root causes of faults and to decide on reparative actions. The logical inference system has been devised to carry…

Network architectureComputer sciencebusiness.industryDistributed computingMulti-agent systemOrganizational network analysiscomputer.software_genreNetworking hardwarenetwork management artificial intelligenceNetwork management applicationNetwork simulationNetwork managementIntelligent computer networkElement management systemData miningbusinesscomputerNetwork management station
researchProduct

A Logical Framework for Augmented Simulations of Wireless Sensor Networks

2006

This paper describes a framework for practical and efficient monitoring of a wireless sensor network. The architecture proposed exploits the dynamic reasoning capabilities of the situation calculus in order to assess the sensor network behavior before actually deploying all the nodes. Designing a wireless sensor network for a specific application typically involves a preliminary phase of simulations that rely on specialized software, whose behavior does not necessarily reproduce what will be experienced by an actual network. On the other hand, delaying the test phase until deployment may not be advisable due to unreasonable costs. This paper suggests the adoption of a hybrid approach that i…

Network architectureWi-Fi arrayVisual sensor networkbusiness.industryService setWireless networkComputer scienceWireless ad hoc networkDistributed computingWSNSensor webNetwork simulationIntelligent computer networkKey distribution in wireless sensor networksWireless site surveyMobile wireless sensor networkbusinessWireless sensor networkNetwork management stationHeterogeneous networkComputer network
researchProduct

Distributed intelligent management,of active networks

2003

This paper focuses on improving computer network management by the adoption of artificial intelligence techniques. A logical inference system has being devised to enable automated isolation, diagnosis, and even repair of network problems, thus enhancing the reliability, performance, and security of networks. We propose a distributed multi-agent architecture for network management, where a logical reasoner acts as an external managing entity capable of directing, coordinating, and stimulating actions in an active management architecture. The active networks technology represents the lower level layer which makes possible the deployment of code which implement teleo-reactive agents, distribut…

Network architecturebusiness.industryComputer scienceDistributed computingSemantic reasonercomputer.software_genreNetwork simulationNetwork management applicationNetwork managementIntelligent agentIntelligent computer networkSoftware deploymentElement management systemArtificial intelligencebusinesscomputerActive Networks Network ManagementNetwork management stationActive Network ManagementActive networkingNetwork model
researchProduct

Analysis and simulation of creativity learning by means of artificial neural networks

2007

The paper presents a new neural network approach for analysis and simulation of creative behavior. The used concept of Dynamically Controlled Neural Gas (DyCoNG) entails a combination of Dynamically Controlled Network [Perl, J. (2004a). A neural network approach to movement pattern analysis. Human Movement Science,23, 605-620] and Growing Neural Gas (Fritzke, 1995) by quality neurons. A quality neuron reflects the rareness of a piece of information and therefore can measure the originality of a recorded activity that was assigned to the neuron during the network training. The DyCoNG approach was validated using data from a longitudinal field-based study. The creative behavior of 42 particip…

Neural gasProcess (engineering)media_common.quotation_subjectBiophysicsExperimental and Cognitive PsychologyMachine learningcomputer.software_genreNetwork simulationCreativityArtificial IntelligenceHumansLearningComputer SimulationOrthopedics and Sports Medicinecomputer.programming_languagemedia_commonArtificial neural networkbusiness.industryGeneral MedicineCreativityPattern recognition (psychology)Neural Networks ComputerArtificial intelligencePerlbusinessPsychologycomputerNervous system network modelsHuman Movement Science
researchProduct

Learning to Approach a Moving Ball with a Simulated Two-Wheeled Robot

2006

We show how a two-wheeled robot can learn to approach a moving ball using Reinforcement Learning. The robot is controlled by setting the velocities of its two wheels. It has to reach the ball under certain conditions to be able to kick it towards a given target. In order to kick, the ball has to be in front of the robot. The robot also has to reach the ball at a certain angle in relation to the target, because the ball is always kicked in the direction from the center of the robot to the ball. The robot learns which velocity differences should be applied to the wheels: one of the wheels is set to the maximum velocity, the other one according to this difference. We apply a REINFORCE algorith…

Neural gasRadial basis function networkComputer sciencebusiness.industryRoboticsBang-bang robotComputer Science::RoboticsControl theoryBall (bearing)RobotReinforcement learningArtificial intelligencebusinessSimulation
researchProduct

A model for long-term potentiation and depression

1995

A computational model of long-term potentiation (LTP) and long-term depression (LTD) in the hippocampus is presented. The model assumes the existence of retrograde signals, is in good agreement with several experimental data on LTP, LTD, and their pharmacological manipulations, and shows how a simple kinetic scheme can capture the essential characteristics of the processes involved in LTP and LTD. We propose that LTP and LTD could be two different but conceptually similar processes, induced by the same class of retrograde signals, and maintained by two distinct mechanisms. An interpretation of a number of experiments in terms of the molecular processes involved in LTP and LTD induction and …

Neuronal PlasticityTime FactorsKinetic modelmusculoskeletal neural and ocular physiologyCognitive NeuroscienceLong-Term PotentiationModels NeurologicalHippocampusLong-term potentiationHippocampusSensory SystemsKineticsCellular and Molecular Neurosciencenervous systemSynapsesRetrograde signalingAnimalsHumansComputer SimulationPsychologyNeuroscienceMathematicsSignal TransductionJournal of Computational Neuroscience
researchProduct

GEANT4 simulation of the neutron background of the C6D6 set-up for capture studies at n_TOF

2014

The neutron sensitivity of the C6D6 detector setup used at n_TOF facility for capture measurements has been studied by means of detailed GEANT4 simulations. A realistic software replica of the entire n_TOF experimental hall, including the neutron beam line, sample, detector supports and the walls of the experimental area has beeni mplemented in the simulations. The simulations have been analyzed in the same manner as experimental data, in particular by applying the Pulse Height Weighting Technique. The simulations have been validated against a measurement of the neutron background performed with anatC sample, showing an excellent agreement above 1 keV. At lower energies, an additional compo…

Neutron captureNuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsAstrophysics::High Energy Astrophysical PhenomenaGEANT4 simulations; Neutron time of flight; Neutron background; n_TOF; Neutron captureFOS: Physical sciencesNeutronN-TOF7. Clean energy01 natural sciencesPartícules (Física nuclear)Nuclear physicsCross section (physics)0103 physical sciencesNeutronNuclear Experiment (nucl-ex)010306 general physicsGEANT4 simulations;N-TOF;Neutron time of flight;Neutron capture;Neutron backgroundNuclear ExperimentInstrumentationphysics.ins-detNuclear ExperimentGEANT4Line (formation)Particles (Nuclear physics)PhysicsBonner sphere:Energies::Energia nuclear [Àrees temàtiques de la UPC]NeutronsGEANT4 simulation:Física [Àrees temàtiques de la UPC]010308 nuclear & particles physicsDetectorFísicaNeutron sensitivityDetectorInstrumentation and Detectors (physics.ins-det)Neutron radiationNEUTRON TIME OF FLIGHTNeutron captureBackgroundDeuteriumN_TOFGEANT4 simulationsNeutron backgroundSimulation
researchProduct

Technology Impact on Neutron-Induced Effects in SDRAMs : A Comparative Study

2021

International audience; This study analyses the response of synchronous dynamic random access memories to neutron irradiation. Three different generations of the same device with different node sizes (63, 72, and 110 nm) were characterized under an atmospheric-like neutron spectrum at the ChipIr beamline in the Rutherford Appleton Laboratories, UK. The memories were tested with a reduced refresh rate to expose more single-event upsets and under similar conditions provided by a board specifically developed for this type of study in test facilities. The board has also been designed to be used as a nanosatellite payload in order to perform similar tests. The neutron-induced failures were studi…

NeutronsComputer sciencePayloadkäyttömuistitStuck Bitsneutronitmuistit (tietotekniikka)Technology impactSEERefresh rate[SPI.TRON]Engineering Sciences [physics]/ElectronicsRadiation EffectsBeamlinesäteilyfysiikkaNeutronNode (circuits)[INFO.INFO-ES]Computer Science [cs]/Embedded Systems[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsSDRAMNeutron irradiationSimulationRandom accessavaruustekniikka
researchProduct

Conformational changes in acetylcholine binding protein investigated by temperature accelerated molecular dynamics.

2014

Despite the large number of studies available on nicotinic acetylcholine receptors, a complete account of the mechanistic aspects of their gating transition in response to ligand binding still remains elusive. As a first step toward dissecting the transition mechanism by accelerated sampling techniques, we study the ligand-induced conformational changes of the acetylcholine binding protein (AChBP), a widely accepted model for the full receptor extracellular domain. Using unbiased Molecular Dynamics (MD) and Temperature Accelerated Molecular Dynamics (TAMD) simulations we investigate the AChBP transition between the apo and the agonist-bound state. In long standard MD simulations, both confo…

Nicotinic Acetylcholine ReceptorsProtein ConformationGatingMolecular DynamicsLigandsBiochemistryBiophysics SimulationsIon ChannelsMolecular dynamicsAcetylcholine bindingComputational ChemistryBiochemical SimulationsNicotinic AgonistsBiomacromolecule-Ligand InteractionsBiochemistry SimulationsMultidisciplinaryHydrogen bondChemistryPhysicsQTemperatureRLigand (biochemistry)nicotinic receptor molecular dynamics tamd acethylcholine binding proteinChemistryNicotinic agonistBiochemistryMedicineBiophysic Al SimulationsResearch ArticleProtein BindingProtein subunitScienceBiophysicsMolecular Dynamics SimulationProtein ChemistryStatistical MechanicsChemical BiologyAnimalsBiologyAcetylcholine receptorBinding SitesProteinsComputational BiologyHydrogen BondingSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Protein SubunitsMolluscaAcetylcholine ReceptorsBiophysicsLobelineCarrier ProteinsPLoS ONE
researchProduct

Large scale motions in models of human nicotinic receptors

2014

Nicotinic receptor molecular dynamics simulationepibatidine
researchProduct