Search results for "artificial intelligence"
showing 10 items of 6122 documents
Model transformation language MOLA
2005
The paper describes a new graphical model transformation language MOLA. The basic idea of MOLA is to merge traditional structured programming as a control structure with pattern-based transformation rules. The key language element is a graphical loop concept. The main goal of MOLA is to describe model transformations in a natural and easy readable way.
Athletes as ‘Cultural Architects’: A Qualitative Analysis of Elite Coaches` Perceptions of Highly Influential Soccer Players
2019
The main purpose of this study was to gain a better understanding of highly influential players\ud in elite soccer. Semi-structured interviews were conducted with ten elite coaches to determine\ud their perceptions of the characteristics, emergence and impact of highly influential players.\ud The interview guide was anchored in coaching literature and leadership theory, and after\ud exploring the interview data in this frame, we decided to label these athletes as cultural\ud architects. The results of the analysis revealed three general dimensions of cultural architects\ud in elite teams: a) Personal characteristics, which include elements related to their\ud achievements on the soccer pitc…
Consequences of applying new technologies to sources of law (overview)
2020
Technological change has a very significant impact on the functioning of a lawyer. It is not only an advocate, judge, adviser or notary public with a law, but also specialized software in which the law is incorporated. The quality of this software, safety but also the certainty of its correctness is very important for legal certainty and functioning of lawyers. Modern law is not only the text of legal acts or contracts but also IT codes in which the law is incorporated (for example, smart contract). The law is controlled by the courts. The question arises as to who will control the codes in which the law is written. In the EU, only a few countries have recognised this problem when creating …
Comparison between two different cardiovascular models during a hemorrhagic shock scenario
2020
Hemorrhagic shock is a form of hypovolemic shock determined by rapid and large loss of intravascular blood volume and represents the first cause of death in the world, whether on the battlefield or in civilian traumatology. For this, the ability to prevent hemorrhagic shock remains one of the greatest challenges in the medical and engineering fields. The use of mathematical models of the cardiocirculatory system has improved the capacity, on one hand, to predict the risk of hemorrhagic shock and, on the other, to determine efficient treatment strategies. In this paper, a comparison between two mathematical models that simulate several hemorrhagic scenarios is presented. The models considere…
Convergence Analysis of Distributed Set-Valued Information Systems
2016
This paper focuses on the convergence of information in distributed systems of agents communicating over a network. The information on which the convergence is sought is not rep- resented by real numbers, as often in the literature, rather by sets. The dynamics of the evolution of information across the net- work is accordingly described by set-valued iterative maps. While the study of convergence of set-valued iterative maps is highly complex in general, this paper focuses on Boolean maps, which are comprised of arbitrary combinations of unions, intersections, and complements of sets. For these important class of systems, we provide tools to study both global and local convergence. A distr…
Geometry control of the junction between two fractal curves
2012
International audience; The general objective of our work is to create a geometric modeller based on iterative processes. With this objective in mind, we have to provide tools that work with fractal objects in the same manner as with objects of classical topology. In this article we focus on the constructing of an intermediate curve between two other curves defined by different iterative construction processes. A similar problem often arises with subdivision surfaces, when the goal is to connect two surfaces with different subdivision masks. We start by dealing with curves, willing to later generalise our approach to surfaces. We formalise the problem with the Boundary Controlled Iterated F…
Image difference detection under varying illumination based on vector space and correlations
2012
Abstract We propose two methods to detect differences in images independently of local changes of intensity. The methods are based on calculating geometrical operators when images are considered as vectors. Operators can be expressed in terms of correlations for the possibility of optical implementations. The methods are invariant to changes of the form af ( x , y ) + b , where a and b are arbitrary unknown parameters that may vary over the image f ( x , y ). Computer simulations show that the method works well when the illumination model is satisfied. Results from real images taken with a web camera show the robustness of the method.
Learning-based multiresolution transforms with application to image compression
2013
In Harten's framework, multiresolution transforms are defined by predicting finer resolution levels of information from coarser ones using an operator, called prediction operator, and defining details (or wavelet coefficients) that are the difference between the exact and predicted values. In this paper we use tools of statistical learning in order to design a more accurate prediction operator in this framework based on a training sample, resulting in multiresolution decompositions with enhanced sparsity. In the case of images, we incorporate edge detection techniques in the design of the prediction operator in order to avoid Gibbs phenomenon. Numerical tests are presented showing that the …
A LDR image expansion method for displaying on HDR screen
2013
International audience
Predicting human performance in interactive tasks by using dynamic models
2017
The selection of an appropriate sequence of activities is an essential task to keep student motivation and foster engagement. Usually, decisions in this respect are made by taking into account the difficulty of the activities, in relation to the student's level of competence. In this paper, we present a dynamic model that aims to predict the average performance of a group of students at solving a given series of maths problems. The system takes into account both student- and task-related features. This model was built and validated by using the data gathered in an experimental session that involved 64 participants solving a sequence of 26 arithmetic problems. The data collected from the fir…