Search results for "performance"
showing 10 items of 4457 documents
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 …
Modelling and prediction of retention in high-performance liquid chromatography by using neural networks
1995
Multi-layer feed-forward neural networks trained with an error back-propagation algorithm have been used to model retention behaviour of liquid chromatography as a function of the composition of the mobile phases. Conventional hydro-organic and micellar mobile phases were considered. Accurate retention modelling and prediction have been achieved using mobile phases defined by two, three and four parameters. With micellar mobile phases, the parameters involved included the concentrations of surfactant and organic modifier, pH and temperature. It is shown that neural networks provide a competitive tool to model varied inherent nonlinear relationships of retention behaviour with respect to the…
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…
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…
ESG and Asset Quality in the Banking Industry: The Moderating Role of Financial Performance
2023
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, …
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…
Measurement of the Cosmic Ray Helium Energy Spectrum from 70 GeV to 80 TeV with the DAMPE Space Mission
2021
The measurement of the energy spectrum of cosmic ray helium nuclei from 70 GeV to 80 TeV using 4.5 years of data recorded by the DArk Matter Particle Explorer (DAMPE) is reported in this work. A hardening of the spectrum is observed at an energy of about 1.3 TeV, similar to previous observations. In addition, a spectral softening at about 34 TeV is revealed for the first time with large statistics and well controlled systematic uncertainties, with an overall significance of $4.3\sigma$. The DAMPE spectral measurements of both cosmic protons and helium nuclei suggest a particle charge dependent softening energy, although with current uncertainties a dependence on the number of nucleons canno…
Direct intervention through biofeedback, to change disheartening conducts in a soccer goalkeeper
2017
El objetivo de este trabajo es describir una intervención, que buscaba modificar el comportamiento de un portero en relación con los errores que cometía, pues tras recibir un gol, se desanimaba y no dejaba de centrarse en el error cometido. Esta atención en el error cometido le hacía tardar de volver a tener un comportamiento adecuado para cumplir su función en el juego. Esta intervención se realizó mediante biofeedback, técnicas de control emocional y técnicas para el manejo de la atención y la concentración. Dado que es una intervención sobre un portero de 18 años de fútbol once, solicitada por el entrenador, se utilizó un estudio de caso único. De acuerdo con los resultados descriptivos …
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…