Search results for "OPTIMIZATION"

showing 10 items of 2824 documents

Predicting lorawan behavior. How machine learning can help

2020

Large scale deployments of Internet of Things (IoT) networks are becoming reality. From a technology perspective, a lot of information related to device parameters, channel states, network and application data are stored in databases and can be used for an extensive analysis to improve the functionality of IoT systems in terms of network performance and user services. LoRaWAN (Long Range Wide Area Network) is one of the emerging IoT technologies, with a simple protocol based on LoRa modulation. In this work, we discuss how machine learning approaches can be used to improve network performance (and if and how they can help). To this aim, we describe a methodology to process LoRaWAN packets a…

IoTComputer Networks and CommunicationsComputer scienceDecision treeChannel occupancy; cluster analysis; IoT; LoRa; LoRaWAN; machine learning; network optimization; prediction analysisMachine learningcomputer.software_genreChannel occupancyLoRalcsh:QA75.5-76.95network optimizationNetwork performanceProtocol (object-oriented programming)Profiling (computer programming)Artificial neural networkNetwork packetbusiness.industrySettore ING-INF/03 - TelecomunicazioniPipeline (software)LoRaWANHuman-Computer Interactionmachine learningprediction analysisArtificial intelligencelcsh:Electronic computers. Computer sciencebusinesscomputerCommunication channelcluster analysis
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The smoothed particle hydrodynamics method via residual iteration

2019

Abstract In this paper we propose for the first time an iterative approach of the Smoothed Particle Hydrodynamics (SPH) method. The method is widespread in many areas of science and engineering and despite its extensive application it suffers from several drawbacks due to inaccurate approximation at boundaries and at irregular interior regions. The presented iterative process improves the accuracy of the standard method by updating the initial estimates iterating on the residuals. It is appealing preserving the matrix-free nature of the method and avoiding to modify the kernel function . Moreover the process refines the SPH estimates and it is not affected by disordered data distribution. W…

Iterative and incremental developmentComputer scienceMechanical EngineeringComputational MechanicsProcess (computing)General Physics and Astronomy010103 numerical & computational mathematicsBivariate analysisIterated residualResidual01 natural sciencesComputer Science Applications010101 applied mathematicsSmoothed-particle hydrodynamicsSettore MAT/08 - Analisi NumericaDistribution (mathematics)Smoothed particle hydrodynamicMechanics of MaterialsConvergence (routing)Test functions for optimization0101 mathematicsConvergenceAlgorithmAccuracyKernel based method
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Dynamique de la structure industrielle française

1990

JEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C61 - Optimization Techniques • Programming Models • Dynamic AnalysisJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingJEL: L - Industrial Organization/L.L1 - Market Structure Firm Strategy and Market Performance/L.L1.L16 - Industrial Organization and Macroeconomics: Industrial Structure and Structural Change • Industrial Price IndicesJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C61 - Optimization Techniques • Programming Models • Dynamic Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and financesJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisJEL : L - Industrial Organization/L.L1 - Market Structure Firm Strategy and Market Performance/L.L1.L16 - Industrial Organization and Macroeconomics: Industrial Structure and Structural Change • Industrial Price Indices[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SHS.ECO] Humanities and Social Sciences/Economics and Finance
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On the integration of kinetic models using a high-order taylor series method

1992

A general equation to derive kinetic models up to any order is given. This equation greatly facilitates the application of the Taylor series method to the integration of kinetic models up to very high orders. When dealing with non-stiff models, computing time is always reduced by increasing the integration order, at least up to the 20th order. When the model is stiff, the integration order should be optimized; however, a twelfth order is recommended to integrate weakly stiff models. The use of an algorithm which permits the immediate calculation of the integration step size required to maintain a given accuracy leads to further reductions in computing time. When implemented as recommended h…

Kinetic modelComputer programApplied MathematicsKinetic energyAnalytical Chemistrysymbols.namesakeOrder (business)General equationTaylor seriessymbolsOptimization methodsTaylor series methodAlgorithmMathematicsJournal of Chemometrics
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MODELLING OF MEMBRANE PROCESSES: FROM CFD TO PROCESS OPTIMIZATION

2020

LCDdesalinationSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciMembrane proceCFDprocess modellingREDhybrid systemsoptimizationED
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An Economic Approach to Size of a Renewable Energy Mix in Small Islands

2022

The importance of renewable energy exploitation reduces the energy dependence on fossil fuels. Despite technological progress, in several remote areas and small islands the energy production is nowadays dominated by the utilization of fossil fuels. With new, increasingly stringent laws on polluting emissions and the need to lower production costs, it is necessary to exploit as many renewable sources as possible. In order to implement these considerations, it was decided to study renewable energy production. The study was carried out by estimating the energy production on a monthly and annual basis considering a mix of three plants, namely marine, solar, and wind. Simulations on wave product…

LCOE Optimal sizing Renewable energy Sea wave Small islandsControl and OptimizationSettore ING-IND/11 - Fisica Tecnica AmbientaleRenewable Energy Sustainability and the Environmentsmall islands; optimal sizing; sea wave; renewable energy; LCOEEnergy Engineering and Power TechnologyElectrical and Electronic EngineeringSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciEngineering (miscellaneous)Energy (miscellaneous)
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A sizing approach for stand-alone hybrid photovoltaic-wind-battery systems: A Sicilian case study

2018

Abstract Solar and wind energy are the two most available renewable energy resources in the world. In this paper, a high-resolution analysis that allows sizing a hybrid photovoltaic-wind turbine-battery banks has been carried out. The analysis aims to minimize the annualized cost of the systems satisfying two reliability constraints. The solution has been obtained numerically by means of an iterative technique. The decision variables are the photovoltaic area, wind turbine radius, and battery capacity. A high-resolution model, based on fuzzy logic inference system, has been developed to evaluate the number of active occupants and the domestic electricity consumption. In order to allow a mor…

LLPComputer science020209 energyStrategy and ManagementFuzzy inference systemEconomic optimization02 engineering and technology010501 environmental sciences01 natural sciencesTurbineIndustrial and Manufacturing EngineeringSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringSettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeReliability (statistics)Matlab0105 earth and related environmental sciencesGeneral Environmental ScienceIterative and incremental developmentWind powerRenewable Energy Sustainability and the Environmentbusiness.industryPhotovoltaic systemSizingRenewable energyReliability engineeringHybrid PV-Wind energy systemElectricitybusinessJournal of Cleaner Production
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Robust control in uncertain multi-inventory systems and consensus problems

2008

Abstract We consider a continuous time linear multi–inventory system with unknown demands bounded within ellipsoids and controls bounded within polytopes. We address the problem of ∈-stabilizing the inventory since this implies some reduction of the inventory costs. The main results are certain conditions under which ∈-stabilizability is possible through a saturated linear state feedback control. The idea of this approach is similar to the consensus problem solution for a network of continuous time dynamic agents, where each agent evolves according to a first order dynamics has bounded control and it is subject to unknown but bounded disturbances. In this context, we derive conditions under…

LMI; robust control; inventory systems; consensusMathematical optimizationMulti-agent systemMulti-agent systemsPolytopeContext (language use)EllipsoidCooperative systemsReduction (complexity)inventory systemsConsensusSettore ING-INF/04 - AutomaticaconsensusControl theoryBounded functionLMI robust control inventory systems consensusLMIRobust controlSettore MAT/09 - Ricerca OperativaDistributed control and estimationrobust controlCooperative systems; Distributed control and estimation; Multi-agent systemsMathematics
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Thrust Vector Controller Comparison for a Finless Rocket

2023

The paper focuses on comparing applicability, tuning, and performance of different controllers implemented and tested on a finless rocket during its boost phase. The objective was to evaluate the advantages and disadvantages of each controller, such that the most appropriate one would then be developed and implemented in real-time in the finless rocket. The compared controllers were Linear Quadratic Regulator (LQR), Linear Quadratic Gaussian (LQG), and Proportional Integral Derivative (PID). To control the attitude of the rocket, emphasis is given to the Thrust Vector Control (TVC) component (sub-system) through the gimballing of the rocket engine. The launcher is commanded through the cont…

LQRControl and OptimizationMechanical EngineeringPIDLinear controlSettore ING-INF/01 - ElettronicaIndustrial and Manufacturing Engineeringlinear control; LQR; LQG; PID; rocket; TVCControl and Systems EngineeringComputer Science (miscellaneous)rocketElectrical and Electronic EngineeringTVCLQGMachines; Volume 11; Issue 3; Pages: 394
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Labour market segmentation in Spain: is legislation leading to a reduction in duality?

2016

Abstract: In the last decades, the Spanish legislature has expressed its concern regarding thenegative impact of the existing duality in its national labour market. Many of the employment Actsadopted in the last few years specifically mention this problem in their preambles.In order to analyse the effectiveness of the measures adopted about this question it is necessary tohighlight the two different ways to approach the problem of duality. On the one hand, the existing dualitycould be reduced by making the access to temporary contacts of employment harder (reducing thenumber and the possibilities of temporary contracts and increasing the labour cost of these contracts) Onthe other hand, pro…

Labour economicsMarket segmentationLabour lawEconomicsDuality (optimization)LegislationLegislatureSpanish Labour Law and Employment Relations Journal
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