Search results for " computing"

showing 10 items of 2075 documents

Reti sociali, informazioni individuali. Una simulazione basata su agenti, metodologia fuzzy e Computing With Words

2013

La robustezza di una rete sociale dipende da caratteristiche intrinseche della sua topologia, ma l’origine di queste caratteristiche va ricercata nel compor- tamento dei singoli. In questo articolo illustriamo una simulazione basata su agenti per corroborare l'ipotesi che l’aumento della quantità di informazioni scambiate tra gli utenti di una rete sociale contribuisca allo sviluppo di una rete resiliente. In particolare presentiamo tre varianti del modello nelle quali ai singoli agenti vengono fornite informazioni progressivamente più consistenti relativamente ai legami esistenti, utilizzate al fine di stabilire nuovi col- legamenti. All'aumentare dell'informazione disponibile ai singoli u…

Settore M-PSI/01 - Psicologia GeneraleSettore INF/01 - Informaticasocial network simulazioni ad agenti Computing With Words logica fuzzy.Settore M-FIL/02 - Logica E Filosofia Della Scienza
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Smoothed Particle Electromagnetics Modelling on HPC-GRID Environment

2012

In this paper a meshless approach on a high performance grid computing environment to run fast onerous electromagnetic numerical simulations, is presented. The grid computing and the message passing interface standard have been employed to improve the computational efficiency of the Smoothed Particle Electromagnetics meshless solver adopted. Applications involving an high number of particles can run on a grid computational environment simulating complex domains not accessible before and offer a promising approach for the coupling of particle models to continuous models. The used meshless solver is straightforward to program and fully parallelizable. The results of the parallel numerical sch…

Settore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaElectromagnetic Simulation Grid Computing Meshless method Smoothed Particle Electromagnetics
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Computational issues of an electromagnetics transient meshless method

2019

In this paper we refer to the computational issues in solving Maxwell’ s curl equations without using any connectivity among the points in which the problem domain is discretized. The adopted procedure is able to approximate the electric and magnetic vector fields making use of the derivatives of a kernel function at points arranged in the computational domain. In order to improve the numerical accuracy, dealing with irregular data distribution or data located near the boundary, a suitable strategy is considered. The computational core of the overall process requires elementary linear algebra operations. In the paper the method is presented and the discussion is revolved to the computationa…

Settore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaElectromagneticsComputer scienceMesheLinear algebraLinear algebraTransient (oscillation)Scientific computingComputational scienceAIP Conference Proceedings
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A Lightweight Software Architecture for Robot Navigation and Visual Logging through Environmental Landmarks Recognition

2006

A robot architecture with real-time performance in navigation tasks is presented. The system architecture is multi-threaded with shared memory and fast message passing through static signalling. In this paper, we focused on the reactive layer components and its straightforward implementation. The proposed architecture is described with reference to an experimental setup, in which the robot task is visual logging of environmental landmarks detected on the basis of sensor readings. Our experimental results show how the robot is able to identify, make snapshots and log a set of landmarks by matching 2D geometric patterns.

Shared memoryComputer sciencebusiness.industryMessage passingReal-time computingSystems architectureRobotComputer visionArtificial intelligencePattern matchingSoftware architecturebusinessMobile robot navigation2006 International Conference on Parallel Processing Workshops (ICPPW'06)
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Mixing Different Realities in a Single Shared Space

2019

The concept of internet of everything involves an intelligent connection of people, processes, data, and things. In this sense, shared spaces aimed to connect different users that collaborate following a common purpose are of relevance to the field. Many computer-based collaborative environments have been proposed in recent years. However, the design of mixed-platform collaborative spaces, in which different paradigms—such as augmented reality (AR) and virtual reality (VR)—are blended, is still uncommon. This chapter aims to analyze the benefits and features of these systems, reviewing existing related works and proposing a series of features for the design of effective mixed-platform colla…

Shared spaceComputer scienceDistributed computingMixing (physics)
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3-Dimensional Hydrodynamic Interaction of a Supernova Remnant Shock with an Isolated Cloud

2006

We report on a computational key-project in astrophysics. The project is aimed at studying the interaction of a supernova shock wave with interstellar clouds. We describe the numerical code used, namely FLASH, a multi-dimensional astrophysical hydrodynamics code for parallel computers developed at the FLASH center (The University of Chicago); our team collaborates with, and contributes to, the FLASH project. We discuss the resources required for the whole project, the I/O management, the performance and the scalability of the code on IBM/Sp4 at CINECA. Finally, we present a selection of results. © 2005 IEEE.

Shock waveSupernovabusiness.industryComputer scienceInterstellar cloudCloud computingHydrodynamic codeShock (mechanics)Flash (photography)SupernovaSettore FIS/05 - Astronomia E AstrofisicaShock waveHydrodynamic interactionScalabilityAerospace engineeringbusinessSupernova remnantInterstellar cloudSeventh International Workshop on Computer Architecture for Machine Perception (CAMP'05)
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Non-cooperative Aerial Base Station Placement via Stochastic Optimization

2019

Autonomous unmanned aerial vehicles (UAVs) with on-board base station equipment can potentially provide connectivity in areas where the terrestrial infrastructure is overloaded, damaged, or absent. Use cases comprise emergency response, wildfire suppression, surveillance, and cellular communications in crowded events to name a few. A central problem to enable this technology is to place such aerial base stations (AirBSs) in locations that approximately optimize the relevant communication metrics. To alleviate the limitations of existing algorithms, which require intensive and reliable communications among AirBSs or between the AirBSs and a central controller, this paper leverages stochastic…

Signal Processing (eess.SP)Computer scienceQuality of serviceDistributed computing05 social sciences050801 communication & media studies020206 networking & telecommunications02 engineering and technologyNetwork utilityCellular communicationBase station0508 media and communicationsControl theoryOptimization and Control (math.OC)0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineeringFOS: MathematicsStochastic optimizationUse caseElectrical Engineering and Systems Science - Signal ProcessingGradient descentMathematics - Optimization and Control
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Rapid parameter estimation of discrete decaying signals using autoencoder networks

2021

Machine learning: science and technology 2(4), 045024 (2021). doi:10.1088/2632-2153/ac1eea

Signal Processing (eess.SP)FOS: Computer and information sciencesAccuracy and precisionComputer Science - Machine LearningComputer scienceddc:621.3FOS: Physical sciences01 natural sciencesSignalMachine Learning (cs.LG)010309 opticsExponential growthArtificial Intelligence0103 physical sciencesFOS: Electrical engineering electronic engineering information engineeringLimit (mathematics)Neural and Evolutionary Computing (cs.NE)Electrical Engineering and Systems Science - Signal Processing010306 general physicsSignal processingArtificial neural networkEstimation theoryComputer Science - Neural and Evolutionary ComputingAutoencoder621.3Human-Computer InteractionPhysics - Data Analysis Statistics and ProbabilityAlgorithmSoftwareData Analysis Statistics and Probability (physics.data-an)Machine Learning: Science and Technology
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A Spatial-Temporal Correlation Approach for Data Reduction in Cluster-Based Sensor Networks

2019

International audience; In a resource-constrained Wireless Sensor Networks (WSNs), the optimization of the sampling and the transmission rates of each individual node is a crucial issue. A high volume of redundant data transmitted through the network will result in collisions, data loss, and energy dissipation. This paper proposes a novel data reduction scheme, that exploits the spatial-temporal correlation among sensor data in order to determine the optimal sampling strategy for the deployed sensor nodes. This strategy reduces the overall sampling/transmission rates while preserving the quality of the data. Moreover, a back-end reconstruction algorithm is deployed on the workstation (Sink)…

Signal Processing (eess.SP)FOS: Computer and information sciencesAdaptive samplingGeneral Computer ScienceComputer sciencespatial-temporal correlationReal-time computing02 engineering and technologyData loss[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]data reconstructionQA76Computer Science - Networking and Internet Architecture[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]FOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceElectrical Engineering and Systems Science - Signal ProcessingNetworking and Internet Architecture (cs.NI)General EngineeringSampling (statistics)020206 networking & telecommunicationsReconstruction algorithmDissipation[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationWireless sensor networks[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]data reduction020201 artificial intelligence & image processing[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]lcsh:Electrical engineering. Electronics. Nuclear engineering[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]lcsh:TK1-9971Wireless sensor networkData reduction
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Adapting to Dynamic LEO-B5G Systems : Meta-Critic Learning Based Efficient Resource Scheduling

2022

Low earth orbit (LEO) satellite-assisted communications have been considered as one of key elements in beyond 5G systems to provide wide coverage and cost-efficient data services. Such dynamic space-terrestrial topologies impose exponential increase in the degrees of freedom in network management. In this paper, we address two practical issues for an over-loaded LEO-terrestrial system. The first challenge is how to efficiently schedule resources to serve the massive number of connected users, such that more data and users can be delivered/served. The second challenge is how to make the algorithmic solution more resilient in adapting to dynamic wireless environments.To address them, we first…

Signal Processing (eess.SP)FOS: Computer and information sciencesdynamic environmentComputer Science - Machine Learningreinforcement learningmeta-critic learningComputer Science - Artificial Intelligence5G-tekniikkaresursointiMachine Learning (cs.LG): Electrical & electronics engineering [C06] [Engineering computing & technology]LEO satelliteslangaton tiedonsiirtoresources allocationalgoritmitFOS: Electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringElectrical Engineering and Systems Science - Signal Processing: Ingénierie électrique & électronique [C06] [Ingénierie informatique & technologie]Applied MathematicstietoliikennesatelliititComputer Science ApplicationsArtificial Intelligence (cs.AI)koneoppiminenresource schedulinglangattomat verkot
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