Relação entre desempenho motor e variáveis antropométricas em crianças e adolescentes de Florianópolis, SC/Brasil

O objetivo foi analisar a relação entre desempenho motor (DM) e variáveis antropométricas de crianças e adolescentes de escolas públicas de Florianópolis. Metodologia: 300 alunos do 3º ao 5º ano e da 4ª a 6ª série do Ensino Fundamental, entre os 8 e 16 anos. Os resultados vão ao encontro à literatura, que indicam correlações negativas entre DM e variáveis antropométricas em crianças e adolescentes.

Análise do desempenho motor e sua relação com status social em crianças de uma escola

Relatório de estágio de mestrado em Ensino de Educação Física nos Ensinos Básico e Secundário

Grupos de facto enquanto fenómeno organizativo plurissocietário: (in)admissibilidade da aplicação analógica dos artigos 501º e 502º do CSC aos grupos de facto qualificados

Dissertação de mestrado em Direito dos Contratos e das Empresas

The role of social cognition and motor imagery in gesture processing: a patients' study

Dissertação de mestrado integrado em Psicologia

Degradation of all-inkjet-printed organic thin-film transistors with TIPS-pentacene under processes applied in textile manufacturing

Printed electronics represent an alternative solution for the manufacturing of low-temperature and large area flexible electronics. The use of inkjet printing is showing major advantages when compared to other established printing technologies such as, gravure, screen or offset printing, allowing the reduction of manufacturing costs due to its efficient material usage and the direct-writing approach without requirement of any masks. However, several technological restrictions for printed electronics can hinder its application potential, e.g. the device stability under atmospheric or even more stringent conditions. Here, we study the influence of specific mechanical, chemical, and temperature treatments usually appearing in manufacturing processes for textiles on the electrical performance of all-inkjet-printed organic thin-film transistors (OTFTs). Therefore, OTFTs where manufactured with silver electrodes, a UV curable dielectric, and 6,13-bis(triisopropylsilylethynyl) pentance (TIPS-pentacene) as the active semiconductor layer. All the layers were deposited using inkjet printing. After electrical characterization of the printed OTFTs, a simple encapsulation method was applied followed by the degradation study allowing a comparison of the electrical performance of treated and not treated OTFTs. Industrial calendering, dyeing, washing and stentering were selected as typical textile processes and treatment methods for the printed OTFTs. It is shown that the all-inkjet-printed OTFTs fabricated in this work are functional after their submission to the textiles processes but with degradation in the electrical performance, exhibiting higher degradation in the OTFTs with shorter channel lengths (L=10 μm).

Learning joint representations for order and timing of perceptual-motor sequences: a dynamic neural field approach

Many of our everyday tasks require the control of the serial order and the timing of component actions. Using the dynamic neural field (DNF) framework, we address the learning of representations that support the performance of precisely time action sequences. In continuation of previous modeling work and robotics implementations, we ask specifically the question how feedback about executed actions might be used by the learning system to fine tune a joint memory representation of the ordinal and the temporal structure which has been initially acquired by observation. The perceptual memory is represented by a self-stabilized, multi-bump activity pattern of neurons encoding instances of a sensory event (e.g., color, position or pitch) which guides sequence learning. The strength of the population representation of each event is a function of elapsed time since sequence onset. We propose and test in simulations a simple learning rule that detects a mismatch between the expected and realized timing of events and adapts the activation strengths in order to compensate for the movement time needed to achieve the desired effect. The simulation results show that the effector-specific memory representation can be robustly recalled. We discuss the impact of the fast, activation-based learning that the DNF framework provides for robotics applications.

Implementação de técnicas e princípios de produção lean no processo de pré-confeção de uma indústria de cablagens

Dissertação de mestrado em Engenharia Industrial

Implementação de ferramentas Lean numa empresa de componentes para calçado

Dissertação de mestrado em Engenharia Industrial

Melhoria do desempenho no processo de tecelagem

Dissertação de mestrado em Engenharia Industrial

The role of automatic shape and position recognitionin streamlining manufacturing

The main features of most components consist of simple basic functional geometries: planes, cylinders, spheres and cones. Shape and position recognition of these geometries is essential for dimensional characterization of components, and represent an important contribution in the life cycle of the product, concerning in particular the manufacturing and inspection processes of the final product. This work aims to establish an algorithm to automatically recognize such geometries, without operator intervention. Using differential geometry large volumes of data can be treated and the basic functional geometries to be dealt recognized. The original data can be obtained by rapid acquisition methods, such as 3D survey or photography, and then converted into Cartesian coordinates. The satisfaction of intrinsic decision conditions allows different geometries to be fast identified, without operator intervention. Since inspection is generally a time consuming task, this method reduces operator intervention in the process. The algorithm was first tested using geometric data generated in MATLAB and then through a set of data points acquired by measuring with a coordinate measuring machine and a 3D scan on real physical surfaces. Comparison time spent in measuring is presented to show the advantage of the method. The results validated the suitability and potential of the algorithm hereby proposed

Melhoria de desempenho da área de pintura numa empresa de mobiliário

Dissertação de mestrado integrado em Engenharia e Gestão Industrial

Indústria Transformadora em Timor-Leste: uma proposta para um setor industrial

Dissertação de mestrado em Engenharia Industrial

Melhoria e normalização de ferramentas de apoio à produção aplicando ferramentas Lean

Dissertação de mestrado integrado em Engenharia e Gestão Industrial

Gestão de inventários numa empresa de produção de linhas de costura

Dissertação de mestrado integrado em Engenharia e Gestão Industrial

Aplicação de ferramentas Lean e gestão da manutenção numa metalomecânica

Dissertação de mestrado em Engenharia e Gestão da Qualidade