Analysis of Dyscalculia Evidences through Artificial Intelligence Systems

Dyscalculia is usually perceived of as a specific learning difficulty for mathematics or, more appropriately, arithmetic. Because definitions and diagnoses of dyscalculia are in their infancy and sometimes are contradictory. However, mathematical learning difficulties are certainly not in their infancy and are very prevalent and often devastating in their impact. Co-occurrence of learning disorders appears to be the rule rather than the exception. Co-occurrence is generally assumed to be a consequence of risk factors that are shared between disorders, for example, working memory. However, it should not be assumed that all dyslexics have problems with mathematics, although the percentage may be very high, or that all dyscalculics have problems with reading and writing. Because mathematics is very developmental, any insecurity or uncertainty in early topics will impact on later topics, hence to need to take intervention back to basics. However, it may be worked out in order to decrease its degree of severity. For example, disMAT, an app developed for android may help children to apply mathematical concepts, without much effort, that is turning in itself, a promising tool to dyscalculia treatment. Thus, this work will focus on the development of a Decision Support System to estimate children evidences of dyscalculia, based on data obtained on-the-fly with disMAT. The computational framework is built on top of a Logic Programming approach to Knowledge Representation and Reasoning, grounded on a Case-based approach to computing, that allows for the handling of incomplete, unknown, or even self-contradictory information.

Execução "cruzada" de produtos / aplicações

O presente trabalho propõe-se estudar a execução "cruzada” de produtos/aplicações, particularmente de aplicações num sistema para o qual não foram concebidas. Em concreto, pretende-se analisar a execução de programas nativos do Windows em ambiente Linux e vice-versa. Na exploração desta tese foi seleccionado um conjunto representativo de diferentes aplicações, desde produtos genéricos como o Microsoft Office, soluções ERP (Enterprise Resource Planning) e software mais utilizado em ambientes académicos e científicos. Para a execução de aplicações-Windows no Linux utilizaram-se essencialmente dois tipos de ferramentas: a camada de tradução Wine (capaz de executar programas nativos do Windows) e máquinas virtuais, como a VirtualBox e VMWare Player. Para a componente inversa deste trabalho (a execução de aplicações Linux em Windows), fez-se uso essencialmente dessas mesmas máquinas virtuais contendo embora (tendo­lhes sido adicionadas) as distribuições Linux, o Ubuntu 10.04 e OpenSUSE 11.3. ABSTRACT: This work intent to examine the "crossed “execution of products / applications, particularly in an operative system for which such products and applications were not designed. More specially, the purpose of this work is to analyze the performance of native Windows programs under within Linux and vice versa. Throughout the development of this thesis we selected a representative set of different applications, from generic products such 88 Microsoft Office, ERP (Enterprise Resource Planning) and software mainly used in academic and scientific environments. For the execution of Windows applications in Linux, we used essentially two types of tools: the translation layer Wine (capable of running native Windows programs) and virtual machines, such 88 VirtualBox and VMWare Player. For the reverse case, running Linux applications in Windows, the main solution was the use of virtual machines, added with Linux distributions, Ubuntu 10.04 and OpenSUSE 11.3.