Search results for "modeling"
showing 10 items of 4489 documents
Predicting accelerometer-based physical activity in physical education and total physical activity: The Self-determination Theory approach
2019
The present study tested the motivational model of physical education (PE) including needs for competence, autonomy, social relatedness, intrinsic and extrinsic motivation, in-class moderate to vigorous physical activity (MVPA), and total MVPA. Participants were 490 (264 girls, 226 boys) Finnish elementary school students. The data were collected using accelerometers and questionnaires for a seven-day period during the fall semester 2017. The key findings were that 1) social relatedness associated with total MVPA via in-class MVPA in girls, whereas competence was linked to in-class MVPA through extrinsic motivation in boys, 2) competence was positively linked to extrinsic motivation in a si…
Residents' attitude as determinant of tourism sustainability: The case of Trujillo
2018
Abstract This research aims to gain knowledge to understand residents' attitudes towards tourism sustainability in a destination where the main attraction is an archaeological site by analysing the effects of residents' support and perceived benefits for tourism sustainability (in economic, market and social terms). The relationships between perceived benefits and residents' support and among local involvement, attachment and perceived benefits were also examined. The proposed model was assessed using the Partial Least Squares Structural Equation Modelling (PLS-SEM) regression. The data analysis showed that perceived benefits have a more significant effect on tourism sustainability than on …
Infographic techniques for the representation of marginal buildings of Salerno coast
2016
By means of this article, it proposes a cognitive study of the coastal defence system of Amalfi; place rich in history, which is well suited as a case study to experiment the innovative digital techniques for the representation and preservation of cultural heritage. The interpretation of the building, its forms and its nature has been developed through the integration of monoscopic photogrammetry with BIM, this in order to reach the realization of an infographic image summary with the high knowledge content, and for the enhancement and conservation of these architectures
Représenter les dynamiques urbaines de Tours antique et médiéval
2012
ToToPI, for Topography of Tours Pre-Industrial, is a GIS for studying of the city of Tours (France) in large time span. The aim of this paper is to explain how GIS is used for historical data processing to understand time-space dynamics. The proposed principle for understanding the urban dynamic is based on considering the town as a set of complex objects, taking a systemic approach. The town system used to study the urban fabric over large time spans is composed of three sub-systems relating to historical objects from the level of the excavation to that of the former urban space: function (social use), space (location, surface area and morphology) and time (dating, duration and chronology)…
Trace element behavior in the fluidized bed gasification of solid recovered fuels
2013
Gasification of biomass and recycled fuels is of particular interest for the efficient production of power and heat. Trace elements present as impurities in the product gas should be removed very efficiently. The objective of this work has been to develop and test thermodynamic models for the reactions of trace elements with chlorine and sulfur in the gasification processes of recycled fuels. In particular, the chemical reactions of trace elements with main thermochemical conversion products, main ash components, and bed and sorbent material are implemented into the model. The possibilities of gas cleaning devices in condensing and removing the trace element compounds are studied by establi…
A Models-to-Program Information Systems Engineering Method
2021
The Model-Driven Development paradigm aims to represent all the information system features through models. Conceptual-Model Programming offers a similar approach, but with a focus on automatic code generation. Both approaches consider modeling and traceability of different abstraction levels, where each level can be tackled with different modeling methods. This heterogeneity introduces a challenge for the quality of the traceability and transformations among models, especially when aiming for automatic code generation. In this paper, we introduce a holistic conceptual-model programming method to generate code from different abstraction levels (from the problem space to the solution space),…
Urban Traffic Analysis through an UAV
2014
Abstract In order to realize a precise and accurate traffic study, a method to evaluate the real traffic flow conditions in urban areas based on videos acquired by an UAV, Unmanned Aerial Vehicle, is proposed. In this way it does not require additional equipment to earth and, not being invasive, does not influence the driver behavior. This paper presents the results obtained in terms of vehicular traffic flow along a way in the city of Palermo. The results have been compared to experiments using macroscopic simulation models and the eventually differences have been discussed.
Capacity-based calculation of passenger car equivalents using traffic simulation at double-lane roundabouts
2018
Abstract Calculation of passenger car equivalents for heavy vehicles represents the starting point for the operational analysis of road facilities and other traffic management applications. This paper introduces a criterion to find the passenger car equivalents that reflect traffic conditions at double-lane roundabouts, where the capacity is typically estimated for each entry lane. Based on the equivalence defined by the proportion of capacity used by vehicles of different classes, the criterion implies a comparison between the capacity that would occur with a traffic demand of passenger cars only and the capacity reached beginning from a demand with a certain percentage of heavy vehicles. …
Multilayer neural networks: an experimental evaluation of on-line training methods
2004
Artificial neural networks (ANN) are inspired by the structure of biological neural networks and their ability to integrate knowledge and learning. In ANN training, the objective is to minimize the error over the training set. The most popular method for training these networks is back propagation, a gradient descent technique. Other non-linear optimization methods such as conjugate directions set or conjugate gradient have also been used for this purpose. Recently, metaheuristics such as simulated annealing, genetic algorithms or tabu search have been also adapted to this context.There are situations in which the necessary training data are being generated in real time and, an extensive tr…
Dynamic remodeling of histone modifications in response to osmotic stress in Saccharomyces cerevisiae.
2014
Abstract Background Specific histone modifications play important roles in chromatin functions; i.e., activation or repression of gene transcription. This participation must occur as a dynamic process. Nevertheless, most of the histone modification maps reported to date provide only static pictures that link certain modifications with active or silenced states. This study, however, focuses on the global histone modification variation that occurs in response to the transcriptional reprogramming produced by a physiological perturbation in yeast. Results We did a genome-wide chromatin immunoprecipitation analysis for eight specific histone modifications before and after saline stress. The most…