Search results for "Maximization"

showing 10 items of 84 documents

Power tracking with maximum efficiency for wireless charging of E-bikes

2014

Wireless charging techniques, based on Inductive Power Transfer (IPT), are attractive for Electric Vehicles (EV), due to benefits such as convenience and safety. An accurate valuation of the maximum achievable efficiency in an IPT system is extremely unlikely due to the high sensitivity to parasitic elements variations. Therefore, an “on site” procedure of power efficiency characterization is useful to get a precise description of the efficiency curve and obtain the actual maximum efficiency. In this paper, a power tracking algorithm aiming at efficiency maximization is proposed for a Wireless Charging system. The algorithm aims at finding the maximum power transfer efficiency with respect …

Engineeringbusiness.industryInductive power transfer wireless battery charging power flow control power tracking maximum efficiencyControl variableMaximizationSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciSettore ING-INF/01 - ElettronicaMaximum power point trackingMaximum efficiencyElectronic engineeringMaximum power transfer theoremWirelessbusinessElectrical efficiencyPower control2014 IEEE International Electric Vehicle Conference (IEVC)
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Reconfiguration Techniques of Partial Shaded PV Systems for the Maximization of Electrical Energy Production

2007

In this paper, the research of the optimal layout of photovoltaic (PV) modules in a PV array giving the maximum output power under different shaded working conditions is carried out. The particular condition of non uniform solar exposition of the modules is analyzed. The study of the different configurations has been carried out starting from a circuital model used for the design of PV cells and for the simulation of the working behavior of PV arrays. The attained results appear to be interesting although the complexity of the problem in mathematical terms is huge when the number of panels is high. Moreover, the results confirm that this approach often allows to attain a higher electrical e…

Engineeringbusiness.industryPhotovoltaic systemControl reconfigurationPhotovoltaic cells Solar power generation Circuit optimization.MaximizationMaximum power point trackingPower (physics)Settore ING-IND/31 - ElettrotecnicaElectricity generationElectronic engineeringGrid-connected photovoltaic power systembusinessSolar power
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Are Farmers in Alternative Food Networks Social Entrepreneurs? Evidence from a Behavioral Approach

2015

Social entrepreneurship, individual activities with a social objective, is used in this study as a conceptual tool for empirically examining farmers’ participation in alternative food networks (AFNs). This study verifies whether their participation is driven by the social entrepreneurship dimension to satisfy social and environmental needs. We develop a more inclusive view of how social entrepreneurship is present among farmers participating in AFNs by using a behavioural approach based on three main psychological constructs: attitude, objective, and behaviour. The empirical results show that two types of farmers participate in AFNs. One type is closer to commercial entrepreneurs; the main …

EntrepreneurshipHistoryAlternative agriculture2300Profit maximizationEntrepreneurshipSocial entrepreneurshipAgricultural and Biological Sciences (miscellaneous)Short supply chainSettore AGR/01 - Economia Ed Estimo RuraleEconomicsLocal foodEnvironmental ChemistryDimension (data warehouse)MarketingGeneral Environmental Science
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Is there sustainable entrepreneurship in the wine industry? Exploring Sicilian wineries participating in the SOStain program

2016

Abstract Global climate change and the accelerating depletion of natural resources have contributed to increase discussions about the role of private enterprises in reversing negative environmental trends. Rather than focusing on profit maximization, policy makers and consumers pressure groups expect firms to meet a triple-bottom line of economic, environmental and social value creation. Hence sustainable entrepreneurship has received recently increasing interest as a phenomenon and a research topic. More recently, the concept of sustainability has been taken seriously in the Italian wine industry. The organizational challenge for entrepreneurship is to better integrate social and environme…

EntrepreneurshipProfit maximization05 social sciencesGlobal warminglcsh:HD9000-9495010501 environmental sciencesResource depletion01 natural sciencesManagementSustainability0502 economics and businessWorkforceSustainabilitySettore AGR/01 - Economia Ed Estimo RuraleWinegrowingddc:330Economicslcsh:Agricultural industriesBusiness logicDescriptive researchMarketingGeneral Economics Econometrics and Finance050203 business & management0105 earth and related environmental sciencesWine Economics and Policy
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Handling the epistemic uncertainty in the selective maintenance problem

2020

Abstract Nowadays, both continuous and discontinuous operating systems require higher and higher reliability levels in order to avoid the occurrence of dangerous or even disastrous consequences. Accordingly, the definition of appropriate maintenance policies and the identification of components to be maintained during the planned system’s downtimes are fundamental to ensure the reliability maximization. Therefore, the present paper proposes a mathematical programming formulation of the selective maintenance problem with the aim to maximize the system’s reliability under an uncertain environment. Specifically, the aleatory model related to the components’ failure process is well known, where…

Epistemic uncertainty021103 operations researchGeneral Computer ScienceProcess (engineering)Computer scienceInterval-valued reliability data0211 other engineering and technologiesGeneral EngineeringDempster-Shafer Theory02 engineering and technologyInterval (mathematics)MaximizationExact resolution algorithmIdentification (information)Risk analysis (engineering)Order (exchange)Dempster–Shafer theory0202 electrical engineering electronic engineering information engineeringSelective maintenance020201 artificial intelligence & image processingUncertainty quantificationReliability (statistics)Computers & Industrial Engineering
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Whom to befriend to influence people

2020

Alice wants to join a new social network, and influence its members to adopt a new product or idea. Each person $v$ in the network has a certain threshold $t(v)$ for {\em activation}, i.e adoption of the product or idea. If $v$ has at least $t(v)$ activated neighbors, then $v$ will also become activated. If Alice wants to activate the entire social network, whom should she befriend? More generally, we study the problem of finding the minimum number of links that a set of external influencers should form to people in the network, in order to activate the entire social network. This {\em Minimum Links} Problem has applications in viral marketing and the study of epidemics. Its solution can be…

FOS: Computer and information sciencesPhysics - Physics and SocietyGeneral Computer ScienceFOS: Physical sciencesPhysics and Society (physics.soc-ph)0102 computer and information sciences02 engineering and technology01 natural sciencesSocial networksGraphTheoretical Computer ScienceCombinatoricsComputer Science - Data Structures and AlgorithmsGreedy algorithmFOS: Mathematics0202 electrical engineering electronic engineering information engineeringMathematics - CombinatoricsData Structures and Algorithms (cs.DS)Greedy algorithmTime complexityNP-completeMathematicsSocial and Information Networks (cs.SI)Social networkDiscrete mathematicsBinary treeDegree (graph theory)Computer Science (all)Order (ring theory)Computer Science - Social and Information NetworksJoin (topology)Influence maximizationGreedy algorithms010201 computation theory & mathematicsGraphs; Greedy algorithms; Influence maximization; NP-complete; Social networksProduct (mathematics)020201 artificial intelligence & image processingCombinatorics (math.CO)Constant (mathematics)GraphsTheoretical Computer Science
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Fast Estimation of Diffusion Tensors under Rician noise by the EM algorithm

2016

Diffusion tensor imaging (DTI) is widely used to characterize, in vivo, the white matter of the central nerve system (CNS). This biological tissue contains much anatomic, structural and orientational information of fibers in human brain. Spectral data from the displacement distribution of water molecules located in the brain tissue are collected by a magnetic resonance scanner and acquired in the Fourier domain. After the Fourier inversion, the noise distribution is Gaussian in both real and imaginary parts and, as a consequence, the recorded magnitude data are corrupted by Rician noise. Statistical estimation of diffusion leads a non-linear regression problem. In this paper, we present a f…

FOS: Computer and information sciencesreduced computationGaussianModels NeurologicalDatasets as Topicta3112Statistics - ComputationStatistics - ApplicationsTime030218 nuclear medicine & medical imagingMethodology (stat.ME)Diffusion03 medical and health sciencessymbols.namesake0302 clinical medicineScoring algorithmRician fadingPrior probabilityExpectation–maximization algorithmImage Processing Computer-AssistedMaximum a posteriori estimationHumansApplications (stat.AP)Computer SimulationComputation (stat.CO)Statistics - MethodologyMathematicsta112Likelihood FunctionsGeneral NeuroscienceBrainEstimatormaximum likelihood estimatorFisher scoringMagnetic Resonance ImagingWhite MatterRician likelihoodDiffusion Tensor ImagingFourier transformNonlinear Dynamicssymbolsmaximum a posteriori estimatorAlgorithmAlgorithms030217 neurology & neurosurgerydata augmentation
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Shear resistance analytical evaluation for RC beams with transverse reinforcement with two different inclinations

2020

An analysis-oriented mechanical model for shear strength evaluation of Reinforced Concrete (RC) beams with transverse reinforcement with two different inclinations, which required a numerical analysis, is turned into a design-oriented analytical model that can easily be utilized for practical purposes. The model assessed the shear resistance, according to the “lower-bound solution”, employing a numerical procedure that maximizes the element shear strength varying the stresses in the two sets of transverse reinforcement and the magnitude and inclination of the web concrete compressive stress field. The model is formulated with the aim of representing an extension of Eurocode 2 framework to R…

Field (physics)business.industryNumerical analysis0211 other engineering and technologiesShear resistanceMagnitude (mathematics)02 engineering and technologyBuilding and ConstructionStructural engineeringMaximizationDesign-oriented analytical model; Different inclined stirrups; Shear strength; Variable inclination of compressive stress fieldDifferent inclined stirrupSettore ICAR/09 - Tecnica Delle CostruzioniCompressive strengthDesign-oriented analytical modelShear strengthMechanics of Materials021105 building & constructionSolid mechanicsShear strengthGeneral Materials ScienceVariable inclination of compressive stress fieldbusinessCivil and Structural EngineeringMathematics
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Competition, risk taking, and governance structures in retail banking

2005

This paper investigates the extent to which the linkages between bank performance and governance structure affect deposits market competition and risk taking incentives when commercial banks compete with organizations with objectives different from profit maximization. These organizations include savings banks whose corporate and ownership structure yields an objective function that can incorporate labour expenses. It is found that such objective function enables the savings banks to capture a greater market share of bank deposits and to take on relatively less risk in their portfolio of investments. The empirical evidence from the Spanish retail banking sector documents these conclusions.

FinanceEconomics and Econometricsbusiness.industryCorporate governanceProfit maximizationCompetition (economics)IncentiveRetail bankingEconomicsPortfolioMarket sharebusinessEmpirical evidenceFinanceApplied Financial Economics Letters
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Nonparametric clustering of seismic events

2006

In this paper we propose a clustering technique, based on the maximization of the likelihood function defined from the generalization of a model for seismic activity (ETAS model, (Ogata (1988))), iteratively changing the partitioning of the events. In this context it is useful to apply models requiring the distinction between independent events (i.e. the background seismicity) and strongly correlated ones. This technique develops nonparametric estimation methods of the point process intensity function. To evaluate the goodness of fit of the model, from which the clustering method is implemented, residuals process analysis is used.

Goodness of fitGeneralizationComputer scienceNonparametric statisticsContext (language use)Maximization.Cluster analysisLikelihood functionAlgorithmPoint process
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