Search results for "criteri"

showing 10 items of 807 documents

A Paradigm Interpreting the City and the Analytic Network Process for the Management of Urban Transformations

2018

When urban and environmental transformations occur in areas where the equilibrium between nature and culture is complex and fragile, public ad-ministrations could decide to induce private investments using several tools, such as financial contributions to those projects of refurbishment that better re-spect the purpose of improving the environmental quality and of preserving the local architecture. Multicriteria models may support public decision process re-garding this issue, but it is essential to adopt a scientific paradigm that provides a major theoretical reference. This study proposes the development of a net-work model based on the scientific paradigm by Rizzo and the Analytic Net-wo…

Analytic network process; Decision aid; Multicriteria analysis; Urban transformation; Decision Sciences (all); Computer Science (all)AutopoiesisManagement scienceProcess (engineering)Computer scienceAnalytic network processComputer Science (all)0211 other engineering and technologies02 engineering and technologyDecision problemUrban transformationAnalytic Network Process Multicriteria Analysis Urban transformation decision aidDecision aidRankingAnalytic network processDecision Sciences (all)Order (exchange)021105 building & construction0202 electrical engineering electronic engineering information engineeringSettore ICAR/22 - Estimo020201 artificial intelligence & image processingMulticriteria analysisArchitectureNetwork model
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Comparison of selection criteria for milk yield traits of Valle del Belice dairy sheep.

2006

Abstract The objectives of this work were to investigate alternative selection criteria for milk yield traits in the Valle del Belice sheep breed, which are either corrected for lactation length or not affected by lactation length, to estimate genetic parameters for these alternative selection criteria and to compare the estimated breeding values. The genetic correlations show that corrected milk yield (CMY), maximum test-day yield (MTY) and milk yield at hundred days (MYH), are moderately or weakly correlated with lactation length (LL) ( r g  = 0.58, 0.16 and 0.39, respectively). Higher genetic correlation was found between total milk yield (TMY) and LL ( r g  = 0.73). Rank correlations be…

Animal scienceMilk yieldmedicine.anatomical_structureGeneral VeterinaryLactationmedicineAnimal Science and ZoologyBiologySelection criterionSheep breedGenetic correlationSelection (genetic algorithm)
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ACTIVE HOUSE PROTOCOL APPLICATION IN MEDITERRANEAN CLIMATE : an energy-efficient kindergarden in Coppito

2022

La U.E. intende raggiungere la neutralità climatica entro il 2050. Questo articolo mira a colmare il divario nella scelta di soluzioni migliorative delle condizioni di vita negli assetti territoriali (SDG n.11) per il raggiungimento delle prestazioni energetiche attese (SDG n.7) e diffondere l’adozione di nuovi approcci e misure per la progettazione sostenibile (SDG n.13). Tali obiettivi sono stati conseguiti mediante l’applicazione di un processo di reverse engineering all’asilo Ape Tau, L’Aquila, località Coppito, dopo il sisma del 2009. Le soluzioni progettuali impiegate nell’edificio sono state analizzate secondo livelli quantitativi suggeriti dall’approccio olistico del protocollo Acti…

Ape TauPerformance assessmentMulti-criteria optimizationSustainable developmentSustainable development Multilayer dry construction Performance assessment Multi-criteria optimization Ape TauSettore ICAR/10 - Architettura TecnicaMulti-layer dry constructionApe Tau; Multi-criteria optimization; Multi-layer dry construction; Performance assessment; Sustainable development
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Application of multi-criteria decision making to PMISs assessment

2014

This paper builds on a previous study concerning the assessment and ranking of Project Management Information Systems (PMISs) features and the comparison of a PMISs software sample. In such an application a Multi-Criteria Decision Making (MCDM) tool such as the Analytic Hierarchy Process (AHP) was adopted to get the ranking by neglecting the mutual influence of elements within the structure. The present paper aims at taking into account such influences by relying on the Analytic Network Process (ANP) for the assessment and ranking of features, while the PMISs software assessment has been performed through the AHP via the direct assessment.

Application of multi-criteria decision making to PMISs assessmentSettore ING-IND/17 - Impianti Industriali Meccanici
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Observer-Based ${H}_{\infty }$ Control Design for Nonlinear Networked Control Systems with Limited Information

2013

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2013/604249 Open Access This paper is concerned with the problem of designing a robust observer-based H∞ controller for discrete-time networked systems with limited information. An improved networked control system model is proposed and the effects of random packet dropout, time-varying delay, and quantization are considered simultaneously. Based on the obtained model, a stability criterion is developed by constructing an appropriate Lyapunov-Krasovskii functional and sufficient conditions for the existence of a dynamic quantized output feedback cont…

Article SubjectStability criterionNetwork packetlcsh:MathematicsApplied MathematicsObserver (special relativity)Networked control systemlcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Quantization (physics)Nonlinear systemControl theoryControl systemObserver basedAnalysisMathematics
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Stochastic Vulnerability Assessment of Masonry Structures: Concepts, Modeling and Restoration Aspects

2019

A methodology aiming to predict the vulnerability of masonry structures under seismic action is presented herein. Masonry structures, among which many are cultural heritage assets, present high vulnerability under earthquake. Reliable simulations of their response to seismic stresses are exceedingly difficult because of the complexity of the structural system and the anisotropic and brittle behavior of the masonry materials. Furthermore, the majority of the parameters involved in the problem such as the masonry material mechanical characteristics and earthquake loading characteristics have a stochastic-probabilistic nature. Within this framework, a detailed analytical methodological approac…

Artificial Neural Networkfailure criteriaComputer scienceRestoration mortarStructural system0211 other engineering and technologiesVulnerability020101 civil engineering02 engineering and technologylcsh:Technology0201 civil engineeringlcsh:Chemistryfragility analysisFragilitySeismic assessmentVulnerability assessmentForensic engineeringGeneral Materials ScienceMasonry structurelcsh:QH301-705.5InstrumentationArtificial Neural NetworksmonumentsFluid Flow and Transfer Processes021110 strategic defence & security studieslcsh:Tbusiness.industryProcess Chemistry and TechnologyGeneral EngineeringProbabilistic logicMonumentMasonrylcsh:QC1-999Computer Science ApplicationsCultural heritageSettore ICAR/09 - Tecnica Delle Costruzionilcsh:Biology (General)lcsh:QD1-999restoration mortarslcsh:TA1-2040Fragility analysiseismic assessmentlcsh:Engineering (General). Civil engineering (General)businessdamage indexlcsh:Physicsmasonry structuresstochastic modelingApplied Sciences
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Development of artificial neural network for condition assessment of bridges based on hybrid decision making method – Feasibility study

2021

Abstract Managing a bridge at an appropriate level of reliability requires knowledge of its technical condition, which is decisive in terms of maintenance and repair activities. This is a multi-criteria decision-making problem which results from the need to allocate limited financial resources to this work. Although many calculation models have been suggested in published sources, none of them has ever met these requirements. The algorithm presented by the authors allows for the assessment of any number of bridges, taking into account the diversity of solutions in terms of materials and structures, and can provide a solution to this problem. This hybrid calculation model, combining the modi…

Artificial neural network (ANN)Railway bridge0209 industrial biotechnologyExtent analysis fuzzy analytic hierarchy process (EA FAHP)Artificial neural networkComputer scienceGeneral EngineeringMulti-criteria decision analysis (MCDA)Analytic hierarchy process02 engineering and technologyCondition assessmentBridge (nautical)ManagementComputer Science ApplicationsReliability engineering020901 industrial engineering & automationDevelopment (topology)Work (electrical)Artificial IntelligenceDecision making methodsDominant analytic hierarchy process (DAHP)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingBridge management system (BMS)Reliability (statistics)Expert Systems with Applications
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Multiple criteria assessment of methods for forecasting building thermal energy demand

2020

Abstract Nowadays worldwide directives have focused the attention on improving energy efficiency in the building sector. The research of models able to predict the energy consumption from the first design and energy planning phase is conducted to improve building sustainability. Use of traditional forecasting tools for building thermal energy demand tends to encounter difficulties relevant to the amount of data required, implementation of the models, computational costs and inability to generalize the output. Therefore, many studies focused on the research and development of alternative resolution methods, but the choice of the most convenient is not clear and simple. Single comparison of s…

Artificial neural networkOperations researchComputer science020209 energy0211 other engineering and technologiesBuilding thermal energy demandDimensionless analysis02 engineering and technologyMultiple criteria assessmentForecasting method021105 building & construction0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringMultiple linear regressionCivil and Structural EngineeringData collectionbusiness.industryMechanical EngineeringBuilding and ConstructionEnergy consumptionEnergy planningIdentification (information)IncentiveRankingbusinessThermal energyEfficient energy useEnergy and Buildings
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Asynchronous L1 control of delayed switched positive systems with mode-dependent average dwell time

2014

Abstract This paper investigates the stability and asynchronous L 1 control problems for a class of switched positive linear systems (SPLSs) with time-varying delays by using the mode-dependent average dwell time (MDADT) approach. By allowing the co-positive type Lyapunov–Krasovskii functional to increase during the running time of active subsystems, a new stability criterion for the underlying system with MDADT is first derived. Then, the obtained results are extended to study the issue of asynchronous L 1 control, where “asynchronous” means that the switching of the controllers has a lag with respect to that of system modes. Sufficient conditions are provided to guarantee that the resulti…

Asynchronous switchingInformation Systems and ManagementAsynchronous switching; Average dwell time; Positive system; Switched system; Time-varying delay; Artificial Intelligence; Software; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern Recognition; Information Systems and ManagementStability criterionComputer scienceLinear systemPositive systemComputer Science Applications1707 Computer Vision and Pattern RecognitionPositive systemsTime-varying delayStability (probability)Computer Science ApplicationsTheoretical Computer ScienceDwell timeExponential stabilityArtificial IntelligenceControl and Systems EngineeringControl theoryAsynchronous communicationAverage dwell timeSwitched systemSoftwareInformation Sciences
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Bayesian dynamic modeling of time series of dengue disease case counts

2017

The aim of this study is to model the association between weekly time series of dengue case counts and meteorological variables, in a high-incidence city of Colombia, applying Bayesian hierarchical dynamic generalized linear models over the period January 2008 to August 2015. Additionally, we evaluate the model’s short-term performance for predicting dengue cases. The methodology shows dynamic Poisson log link models including constant or time-varying coefficients for the meteorological variables. Calendar effects were modeled using constant or first- or second-order random walk time-varying coefficients. The meteorological variables were modeled using constant coefficients and first-order …

Atmospheric ScienceMeteorological ConceptsUrban PopulationEpidemiologyRainPoisson distributionGeographical locationsDengueMathematical and Statistical Techniques0302 clinical medicineStatisticsMedicine and Health Sciences030212 general & internal medicineAtmospheric DynamicsMathematicsMathematical Modelslcsh:Public aspects of medicinePhysicsElectromagnetic RadiationRandom walkDeviance information criterionGeophysicsInfectious DiseasesMean absolute percentage errorPhysical SciencessymbolsSolar RadiationStatistics (Mathematics)Research ArticleGeneralized linear modelConstant coefficientslcsh:Arctic medicine. Tropical medicinelcsh:RC955-962030231 tropical medicineColombiaDisease SurveillanceResearch and Analysis Methods03 medical and health sciencessymbols.namesakeMeteorologyHumansStatistical MethodsCitiesModel selectionPublic Health Environmental and Occupational Healthlcsh:RA1-1270HumidityBayes TheoremMarkov chain Monte CarloSouth AmericaAtmospheric PhysicsRandom WalkEarth SciencesPeople and placesMathematicsForecastingPLOS Neglected Tropical Diseases
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