Sensores ópticos para monitorização dinâmica de estruturas

O presente trabalho centra-se no desenvolvimento e aplicação de sensores de aceleração ópticos, baseados em redes de Bragg gravadas em fibras ópticas, para monitorização da integridade estrutural de estruturas de engenharia civil. Foram implementados dois acelerómetros uniaxiais e um acelerómetro biaxial. Recorreu-se a uma ferramenta de simulação baseada no método dos elementos finitos que permitiu optimizar, sem custos de produção, as características dos sensores, nomeadamente a sua frequência de ressonância. A caracterização dos sensores foi realizada em ambiente laboratorial e a sua resposta comparada com os resultados de simulação, de modo a validar os modelos numéricos. A aplicabilidade e demonstração de conceito foram realizadas na monitorização de estruturas com testes de campo. Foi monitorizado um teste destrutivo de uma parede de adobe, construída à escala real no Departamento de Engenharia Civil da Universidade de Aveiro, onde foram utilizados sensores estáticos e dinâmicos baseados em redes de Bragg gravadas em fibra óptica. Foram realizadas medidas dinâmicas na ponte pedonal do Campus Universitário da Universidade de Aveiro, onde se compararam os resultados obtidos com os sensores ópticos com resultados de sensores electrónicos comerciais. O acelerómetro biaxial foi testado na monitorização de estruturas esbeltas, nomeadamente na monitorização de duas torres de telecomunicações móveis, onde se demonstrou a possibilidade da utilização de sensores ópticos na caracterização dinâmica deste tipo de estruturas. Outro tipo de estruturas de engenharia civil onde foi demonstrada a aplicabilidade dos sensores ópticos desenvolvidos na monitorização estrutural foram os reservatórios de água elevados. Foi realizada a monitorização dinâmica de um exemplo deste tipo de estruturas, localizado no Campus Universitário da Universidade de Aveiro. A monitorização foi realizada recorrendo ao sensor biaxial desenvolvido e a um sismógrafo, ficando o sensor óptico instalado na estrutura de modo a permitir futuras leituras e assim a monitorização periódica da estrutura. Foi ainda desenvolvido um sensor de humidade relativa do ar, com um material sol-gel, que permitiu registar o nível de humidade relativa no interior de blocos de betão, durante um ano. Este sensor pode ser incluído numa rede de sensores multiplexados, na caracterização e monitorização da integridade estrutural de certas estruturas de engenharia civil.

Interação intercultural telecolaborativa em português língua não materna

No âmbito do tema Multimédia em Educação, optámos por analisar uma sequência pedagógica em Português Língua Não Materna, contextualizada em interações interculturais telecolaborativas, mediadas pela plataforma Adobe Connect Pro. Para o efeito, foram transcritas as gravações dessas interações, submetidas a análise de conteúdo com o software de abordagem qualitativa webQDA, tendo em conta as seguintes dimensões: (i) dimensão operacional das literacias digitais online; (ii) atitude perante as tecnologias online; (iii) negociação de sentido, (iii) enunciados não relacionados com o projeto; (iv) atividades reflexivas sobre a língua por parte dos aprendentes; (v) enunciados dos participantes falantes nativos em interação com os aprendentes. Após a análise e discussão de resultados, é possível afirmar que a realização de interações interculturais telecolaborativas contribui para a reformulação de conhecimentos (Lankshear e Knobel, 2006) em termos de: competência tecnológica e literacia online; perceção de como as limitações técnicas podem condicionar a realização de um projeto; tomada de consciência do desenvolvimento (e vantagens) de uma atitude 2.0; aprofundamento da competência na língua-alvo e do conhecimento de realidades culturais através da comunicação com falantes nativos. Ainda assim, reconhecemos a pertinência e urgência do desenvolvimento de um trabalho com acuidade na área da formação intercultural telecolaborativa quer no âmbito da formação de professores (inicial e contínua) quer com os alunos durante as aulas de língua.

SDAR: a package for plotting and analyzing stratigraphy data in R

Stratigraphic Columns (SC) are the most useful and common ways to represent the eld descriptions (e.g., grain size, thickness of rock packages, and fossil and lithological components) of rock sequences and well logs. In these representations the width of SC vary according to the grain size (i.e., the wider the strata, the coarser the rocks (Miall 1990; Tucker 2011)), and the thickness of each layer is represented at the vertical axis of the diagram. Typically these representations are drawn 'manually' using vector graphic editors (e.g., Adobe Illustrator®, CorelDRAW®, Inskape). Nowadays there are various software which automatically plot SCs, but there are not versatile open-source tools and it is very di cult to both store and analyse stratigraphic information. This document presents Stratigraphic Data Analysis in R (SDAR), an analytical package1 designed for both plotting and facilitate the analysis of Stratigraphic Data in R (R Core Team 2014). SDAR, uses simple stratigraphic data and takes advantage of the exible plotting tools available in R to produce detailed SCs. The main bene ts of SDAR are: (i) used to generate accurate and complete SC plot including multiple features (e.g., sedimentary structures, samples, fossil content, color, structural data, contacts between beds), (ii) developed in a free software environment for statistical computing and graphics, (iii) run on a wide variety of platforms (i.e., UNIX, Windows, and MacOS), (iv) both plotting and analysing functions can be executed directly on R's command-line interface (CLI), consequently this feature enables users to integrate SDAR's functions with several others add-on packages available for R from The Comprehensive R Archive Network (CRAN).

À la recherche d'un cadre théorique pour la pratique du design graphique

Les schémas en annexe ont été réalisés avec le logiciel Adobe Illustrator.

Les enclaves résidentielles introverties dans la communauté métropolitaine de Montréal, une étape ultime vers la fermeture résidentielle.

Plusieurs logiciels utilisés dans la réalisation des pièces graphiques incluses dans ce mémoire : ArcGIS 10; Autocad 2012; GIS Consortium de la Ville de Chicago; PowerPoint 2010, Photoshop... etc. Notre recherche est la première et la seule qui aborde le phénomène de l'introversion résidentielle au Québec. Elle se focalise sur le postulat de la représentation du phénomène de l’introversion résidentielle autant qu’une forme urbaine fermée ou semi-fermée d’une descendance accouplée aux GCs étatsuniennes. De la gated community américaine vers l’enclave francilienne, à l’introversion résidentielle montréalaise. À l'aide de notre analyse typo-morphologique, basée principalement sur la théorie de Rossi (1966), nous avons dévoilé sur un nouveau fait urbain qui existe dans la communauté métropolitaine de Montréal. Nous l'avions désigné par : enclaves résidentielles introverties (ERI).

La réaction de stress physiologique à la violence au travail

Directeur(s) de thèse : Alain Marchand. M. Sc. Université de Montréal 2015. Comprend un résumé en anglais et en français. Disponible en format Adobe PDF.

Technological convergence: a strategic perspective

The information and communication technologies (ICT) sectors are in a process of technological convergence. Determinant factors in this process are the liberalisation of the telecommunications markets and technological change. Many firms are engaged in a process of mergers and alliances to position themselves in this new framework. Technological and demand uncertainties are very important. Our objective in this paper is to study the economic determinants of the strategies of the firms. With this aim, we review some key technological and demand aspects. We shed some light on the strategic motivations of the firms by establishing a parallel with the evolution of the retailing sector

Regional flows of domestic tourism in Spain = Flujos regionales del turismo doméstico en España

The paper analyses the regional flows of domestic tourism that took place in Spain in year 2000, contributing to the state of knowledge on tourism required by authorities and private firms when faced with decision making, for example, for regional infrastructure planning. Although tourism is one of the main income-generating economic activities in Spain, domestic tourism has received little attention in the literature compared to inbound tourism. The paper uses among others, gravitational model tools and concentration indices, to analyse regional concentration of both domestic demand and supply; tourism flows among regions, and the causes that may explain the observed flows and attractiveness between regions. Among the most remarkable results are the high regional concentration of demand and supply, and the role of population and regional income as explanatory variables. Also remarkable are the attractiveness of own region and neighbour ones, and that domestic tourism may be acting as a regional income redistributing activity

Application of the european customer satisfaction index to postal services. Structural equation models versus partial least squars

Customer satisfaction and retention are key issues for organizations in today’s competitive market place. As such, much research and revenue has been invested in developing accurate ways of assessing consumer satisfaction at both the macro (national) and micro (organizational) level, facilitating comparisons in performance both within and between industries. Since the instigation of the national customer satisfaction indices (CSI), partial least squares (PLS) has been used to estimate the CSI models in preference to structural equation models (SEM) because they do not rely on strict assumptions about the data. However, this choice was based upon some misconceptions about the use of SEM’s and does not take into consideration more recent advances in SEM, including estimation methods that are robust to non-normality and missing data. In this paper, both SEM and PLS approaches were compared by evaluating perceptions of the Isle of Man Post Office Products and Customer service using a CSI format. The new robust SEM procedures were found to be advantageous over PLS. Product quality was found to be the only driver of customer satisfaction, while image and satisfaction were the only predictors of loyalty, thus arguing for the specificity of postal services

Sales restriction, quality selection and the mode of competition

A regulator imposing “sales restrictions” on firms competing in oligopolistic markets may enhance quality provision by the firms. Moreover, for most restrictions levels, the impact on quality selection is invariant to the mode of competition

On exiting after voting

We consider the problem of a society whose members must choose from a finite set of alternatives. After knowing the chosen alternative, members may reconsider their membership in the society by either staying or exiting. In turn, and as a consequence of the exit of some of its members, other members might now find undersirable to belong to the society as well. We analyze the voting behavior of members who take into account the effect of their votes not only on the chosen alternative, but also on the final composition of the society

Moderating effects of management control systems and innovation on performance. Simple methods for correcting the effects of measurement error for interaction effects in small samples

In the accounting literature, interaction or moderating effects are usually assessed by means of OLS regression and summated rating scales are constructed to reduce measurement error bias. Structural equation models and two-stage least squares regression could be used to completely eliminate this bias, but large samples are needed. Partial Least Squares are appropriate for small samples but do not correct measurement error bias. In this article, disattenuated regression is discussed as a small sample alternative and is illustrated on data of Bisbe and Otley (in press) that examine the interaction effect of innovation and style of use of budgets on performance. Sizeable differences emerge between OLS and disattenuated regression

The efficiency of direct payments versus tax reductions under uncertainty

This paper analyzes the optimal behavior of farmers in the presence of direct payments and uncertainty. In an empirical analysis for Switzerland, it confirms previously obtained theoretical results and determines the magnitude of the theoretical predicted effects. The results show that direct payments increase agricultural production between 3.7% to 4.8%. Alternatively to direct payments, the production effect of tax reductions is evaluated in order to determine its magnitude. The empirical analysis corroborates the theoretical results of the literature and demonstrates that tax reductions are also distorting, but to a substantially lesser degree if losses are not offset. However, tax reductions, independently whether losses are offset or not, lead to higher government spending than pure direct payments

Nonpoint source pollution, space, time and asymetric information - a deposit refund approach

The incorporation of space allows the establishment of a more precise relationship between a contaminating input, a contaminating byproduct and emissions that reach the final receptor. However, the presence of asymmetric information impedes the implementation of the first-best policy. As a solution to this problem a site specific deposit refund system for the contaminating input and the contaminating byproduct are proposed. Moreover, the utilization of a successive optimization technique first over space and second over time enables definition of the optimal intertemporal site specific deposit refund system

Time-series regression models to study the short-term effects of environmental factors on health

Time series regression models are especially suitable in epidemiology for evaluating short-term effects of time-varying exposures on health. The problem is that potential for confounding in time series regression is very high. Thus, it is important that trend and seasonality are properly accounted for. Our paper reviews the statistical models commonly used in time-series regression methods, specially allowing for serial correlation, make them potentially useful for selected epidemiological purposes. In particular, we discuss the use of time-series regression for counts using a wide range Generalised Linear Models as well as Generalised Additive Models. In addition, recently critical points in using statistical software for GAM were stressed, and reanalyses of time series data on air pollution and health were performed in order to update already published. Applications are offered through an example on the relationship between asthma emergency admissions and photochemical air pollutants