Search results for " performance."

showing 10 items of 2429 documents

An innovative approach to manage uncertainties and stock diversity in the EPBD cost-optimal methodology

2018

The EU Energy Performance of Buildings Directive (EPBD) 2010/31/EU is a step in the right direction to promote near zero energy buildings (NZEB) in a step-wise manner, starting with minimum energy performance and cost optimal thresholds for “reference buildings” (RBs) for each category. Nevertheless, a standard method for defining RBs does not exist, which led to a great divergence between MS in the level of detail used to define RBs for the EPBD cost-optimal analysis. Such lack of harmonisation between MS is further evident given the resulting large discrepancies in energy performance indicators even between countries having similar climate. Furthermore, discrepancies of 30% or higher betw…

Architecture and energy conservationZero-energy buildingSettore ING-IND/11 - Fisica Tecnica AmbientaleOperations researchStock modelling EPBD cost-optimal method Bayesian calibration reference zonesEnergy performance indicatorsbusiness.industryComputer scienceBayesian probabilityEnergy performanceEngineering MultidisciplinaryMühendislik Ortak DisiplinlerBuildings -- Energy conservationDirectiveSoftwareStock modellingEPBD cost-optimal methodBayesian calibrationreference zonesBuildings -- Energy conservation -- European Union countriesSustainable buildings -- Design and construction -- StandardsbusinessZoningBuildings -- Thermal propertiesStock (geology)
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An ANN model to correlate roughness and structural performance in asphalt pavements

2017

Abstract In this paper, using a large database from the Long Term Pavement Performance program, the authors developed an Artificial Neural Network (ANN) to estimate the structural performance of asphalt pavements from roughness data. Considering advantages of modern high-performance survey devices in the acquisition of road pavement functional parameters, it would be of practical significance if the structural state of a pavement could be estimated from its functional conditions. To differentiate various road section conditions, several significant input parameters, related to traffic, weather, and structural aspects, have been included in the analysis. The results are very interesting and …

Artificial Neural NetworkEngineering0211 other engineering and technologies020101 civil engineering02 engineering and technologySurface finishcomputer.software_genreCivil engineering0201 civil engineeringDeflection (engineering)021105 building & constructionLinear regressionSettore ICAR/04 - Strade Ferrovie Ed AeroportiAsphalt pavementGeneral Materials ScienceCivil and Structural EngineeringArtificial neural networkLTPPbusiness.industryBuilding and ConstructionStructural performanceAsphaltMaterials Science (all)Data miningRoughnebusinesscomputerArtificial Neural Network; Asphalt pavements; LTPP; Roughness; Structural performance; Civil and Structural Engineering; Building and Construction; Materials Science (all)Construction and Building Materials
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Prediction of surface treatment effects on the tribological performance of tool steels using artificial neural networks

2019

The present paper discussed the development of a reliable and robust artificial neural network (ANN) capable of predicting the tribological performance of three highly alloyed tool steel grades. Experimental results were obtained by performing plane-contact sliding tests under non-lubrication conditions on a pin-on-disk tribometer. The specimens were tested both in untreated state with different hardening levels, and after surface treatment of nitrocarburizing. We concluded that wear maps via ANN modeling were a user-friendly approach for the presentation of wear-related information, since they easily permitted the determination of areas under steady-state wear that were appropriate for use…

Artificial neural networkComputer science0211 other engineering and technologiesMechanical engineering02 engineering and technologyengineering.materiallcsh:Technologylcsh:ChemistrySoft computing technique0202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencesoft computing techniquesInstrumentationlcsh:QH301-705.5021101 geological & geomatics engineeringFluid Flow and Transfer ProcessesArtificial neural networklcsh:TProcess Chemistry and Technologyartificial intelligence techniquesGeneral EngineeringArtificial intelligence techniqueTribologyTribological performancelcsh:QC1-999Computer Science Applicationslcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Tool steelengineering020201 artificial intelligence & image processinglcsh:Engineering (General). Civil engineering (General)artificial neural networkslcsh:PhysicsTribometerHardening (computing)
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Application of optimized artificial intelligence algorithm to evaluate the heating energy demand of non-residential buildings at European level

2019

Abstract A reliable preliminary forecast of heating energy demand of a building by using a detailed dynamic simulation software typically requires an in-depth knowledge of the thermal balance, several input data and a very skilled user. The authors will describe how to use Artificial Neural Networks to predict the demand for thermal energy linked to the winter climatization of non-residential buildings. To train the neural network it was necessary to develop an accurate energy database that represents the basis of the training of a specific Artificial Neural Networks. Data came from detailed dynamic simulations performed in the TRNSYS environment. The models were built according to the stan…

Artificial neural networkDecision support toolComputer science020209 energyReliability (computer networking)02 engineering and technologyTRNSYSStandard deviationIndustrial and Manufacturing EngineeringBuilding simulationSoftware020401 chemical engineering0202 electrical engineering electronic engineering information engineering0204 chemical engineeringElectrical and Electronic EngineeringLearning algorithmThermal balanceCivil and Structural EngineeringSettore ING-IND/11 - Fisica Tecnica AmbientaleArtificial neural networkbusiness.industryMechanical EngineeringBuilding and ConstructionIndustrial engineeringPollutionDynamic simulationGeneral EnergyHigh energy performancebusinessEnergy (signal processing)Thermal energy
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ESG and Asset Quality in the Banking Industry: The Moderating Role of Financial Performance

2023

Asset QualityESGFinancial PerformanceBanking
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Top management team demography and firm operating performance: a path analysis

2020

PurposeThis paper examined the relationship between TMT demographic properties and firm performance using diversity and level variables and measuring differing constructs of firm performance representing divergent strategies.Design/methodology/approachStructural equation modelling was used to test the relationships between TMT demographic properties and firm performance measured as return on net operating assets (RNOA), and its disaggregates profit margin (PM) and asset turnover (ATO). Data were from 89 Finnish firms during the years 2008–2011, resulting in 320 observations.FindingsTMT team tenure had associations with RNOA through both PM and ATO while TMT age, age diversity, firm tenure, …

Asset turnoverStrategy and Managementoperating performanceMicroeconomicsNet operating assets0502 economics and businessTop managementProfit marginpath analysisBusiness and International ManagementPath analysis (statistics)yritysjohtajattulosohjaustop management teamikärakenneteam properties05 social sciencesdisaggretation050209 industrial relationstuloksetfirm performanceUpper echelonsupper echelonsBusinessjohtoryhmät050203 business & managementJournal of Strategy and Management
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First year performance of the IceCube neutrino telescope

2006

The first sensors of the IceCube neutrino observatory were deployed at the South Pole during the austral summer of 2004-2005 and have been producing data since February 2005. One string of 60 sensors buried in the ice and a surface array of eight ice Cherenkov tanks took data until December 2005 when deployment of the next set of strings and tanks began. We have analyzed these data, demonstrating that the performance of the system meets or exceeds design requirements. Times are determined across the whole array to a relative precision of better than 3 ns, allowing reconstruction of muon tracks and light bursts in the ice, of air-showers in the surface array and of events seen in coincidence…

Astroparticle physicsPhysicsPhotomultiplierMuonPerformanceDetectorAstrophysics (astro-ph)AstronomyFOS: Physical sciencesAstronomy and AstrophysicsAstrophysicsIceCube Neutrino ObservatoryAmandaIceCubeDetectionData acquisitionFirst yearAmanda; Detection; First year; IceCube; IceTop; Neutrino; Performance; South poleNeutrinoSouth poleAstronomiaIceTopNeutrinoCherenkov radiation
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Factors associated with potential doping behavior in Olympic-sailing: A gender-specific analysis

2019

BACKGROUND: Olympic-sailing is not contaminated with doping, and special efforts are needed to keep this sport free of doping. The aim of this study was to evaluate factors associated with potential doping behavior (PDB) in professional Olympic sailors. METHODS: The sample of participants were professional Olympic Laser class athletes (N.=80, 39 females ; all >18 years). Data were collected through previously validated questionnaires, utilizing sociodemographic-variables, sport- related- factors, and various factors of hesitation against doping (predictors), and PDB (criterion). To calculate the associations between predictors and the criterion, gender- stratified logistic regression models…

Athletic performance ; Doping in sports ; SportsAthletic performanceDopingPhysical Therapy Sports Therapy and RehabilitationOrthopedics and Sports MedicineDoping in sportsPsychologyhuman activitiesEngineering physicsSports
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Fitness profile of young female volleyball players

2020

BACKGROUND: Factors that influence performance in volleyball, in terms of motor skills, refer to muscle power, speed and agility. This study aimed to examine the abilities and physical characteristics of female volleyball players in terms of age and player specialization. METHODS: A total of 35 subjects (junior and cadet age), participated in this study. Subjects were assessed for body height, mass, spike and block reach, and body composition. Vertical jump, standing broad jump, spike and block jump were tests used to measure leg power. The running speed was evaluated with a 20-m single-sprint effort. The change of direction speed was assessed with a T-test, the sprint 9-3-6-3-9 m forward-b…

Athletic performanceVolleyballMotor skillsPhysical Therapy Sports Therapy and RehabilitationOrthopedics and Sports MedicinePsychologyYoung femaleDemography
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Specific intensity for peaking: Is race pace the best option?

2015

Background: The peaking period for endurance competition is characterized for a relative increase of the intensity of training, after a longer period of training relatively dominated by lower intensity and higher volume Objectives: The present study was designed to compare physiological and 10 km performance effects of high intensity training (HIT) versus race pace interval training (RP) during peaking for competition in well-trained runners. Patients and Methods: 13 athletes took part in the study, they were divided into two groups: HIT and RP. HIT performed short intervals at ~105% of the maximal aerobic velocity (MAV), while RP trained longer intervals at a speed of ~90% of the MAV (a sp…

Atletismobusiness.industryHigh intensityVO2 maxLower intensityAthletic PerformanceInterval trainingIntensity (physics)RunningAnimal scienceTreadmill runningAtletaRunning economyMedicineEntrenamiento deportivoOrthopedics and Sports MedicinebusinessEducación físicaExerciseSimulationResearch Article
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