Towards high performance and multi-functional structural membranes using advanced fibrous and textile materials

Scientific and technological advancements in the area of fibrous and textile materials have greatly enhanced their application potential in several high-end technical and industrial sectors including construction, transportation, medical, sports, aerospace engineering, electronics and so on. Excellent performance accompanied by light-weight, mechanical flexibility, tailor-ability, design flexibility, easy fabrication and relatively lower cost are the driving forces towards wide applications of these materials. Cost-effective fabrication of various advanced and functional materials for structural parts, medical devices, sensors, energy harvesting devices, capacitors, batteries, and many others has been possible using fibrous and textile materials. Structural membranes are one of the innovative applications of textile structures and these novel building skins are becoming very popular due to flexible design aesthetics, durability, lightweight and cost benefits. Current demand on high performance and multi-functional materials in structural applications has motivated to go beyond the basic textile structures used for structural membranes and to use innovative textile materials. Structural membranes with self-cleaning, thermoregulation and energy harvesting capability (using solar cells) are examples of such recently developed multi-functional membranes. Besides these, there exist enormous opportunities to develop wide varieties of multi-functional membranes using functional textile materials. Additionally, it is also possible to further enhance the performance and functionalities of structural membranes using advanced fibrous architectures such as 2D, 3D, hybrid, multi-layer and so on. In this context, the present paper gives an overview of various advanced and functional fibrous and textile materials which have enormous application potential in structural membranes.

Contributos dos ambientes digitais online para a aprendizagem em contexto de atividades de apoio extraescolar

Dissertação de mestrado em Ciências da Educação (área de especialização em Tecnologia Educativa)

Volatility smile extrapolation with an artificial neural network

I use a multi-layer feedforward perceptron, with backpropagation learning implemented via stochastic gradient descent, to extrapolate the volatility smile of Euribor derivatives over low-strikes by training the network on parametric prices.

Some advances in mathematical models for preference relations

Preference relations, and their modeling, have played a crucial role in both social sciences and applied mathematics. A special category of preference relations is represented by cardinal preference relations, which are nothing other than relations which can also take into account the degree of relation. Preference relations play a pivotal role in most of multi criteria decision making methods and in the operational research. This thesis aims at showing some recent advances in their methodology. Actually, there are a number of open issues in this field and the contributions presented in this thesis can be grouped accordingly. The first issue regards the estimation of a weight vector given a preference relation. A new and efficient algorithm for estimating the priority vector of a reciprocal relation, i.e. a special type of preference relation, is going to be presented. The same section contains the proof that twenty methods already proposed in literature lead to unsatisfactory results as they employ a conflicting constraint in their optimization model. The second area of interest concerns consistency evaluation and it is possibly the kernel of the thesis. This thesis contains the proofs that some indices are equivalent and that therefore, some seemingly different formulae, end up leading to the very same result. Moreover, some numerical simulations are presented. The section ends with some consideration of a new method for fairly evaluating consistency. The third matter regards incomplete relations and how to estimate missing comparisons. This section reports a numerical study of the methods already proposed in literature and analyzes their behavior in different situations. The fourth, and last, topic, proposes a way to deal with group decision making by means of connecting preference relations with social network analysis.

Professions réglementées et détresse psychologique : regards croisés avec la population en emploi au Canada.

Cette thèse doctorale poursuit l’objectif de mieux comprendre le rôle joué par la profession réglementée en tant que déterminant de la détresse psychologique de la population en emploi au Québec et au Canada. Ceci, dans un contexte où plusieurs ordres professionnels représentant des professions réglementées, s’inquiètent de la santé mentale de leurs membres et de la pression considérable exercée sur eux dans une économie caractérisée par des pénuries de main-d’oeuvre importantes. Cette thèse fut également inspirée par les nombreuses limites constatées à la suite d’une revue de la littérature sur la santé mentale au travail, alors que les risques différenciés auxquels seraient soumis ces professionnels, comparativement à l’ensemble de la population en emploi, demeurent largement à documenter. La profession réglementée s’associe-t-elle directement à l’expérience de détresse psychologique? Quelles sont les conditions de travail susceptibles de conduire au développement ou à l’aggravation de la détresse psychologique pour ces professions? Dans le but de mieux comprendre le rôle joué par la profession réglementée en matière de détresse psychologique, nous avons eu recours à un modèle théorique multidimensionnel qui postule que les contraintes et les ressources découlent d’un ensemble de structures sociales incluant la profession, le travail, la famille, le réseau social hors-travail et les caractéristiques personnelles. Ce modèle découle des théories micro et macro en sociologie (Alexander et al., 1987; Ritzer, 1996), de l’approche agent-structure(Archer, 1995; Giddens, 1987) ainsi que de la théorie du stress social (Pearlin,1999). Trois hypothèses sont soumises à l’étude à travers ce modèle. La première hypothèse, est à l’effet que la profession réglementée, les conditions de travail, la famille ainsi que le réseau social hors-travail et les caractéristiques individuelles, contribuent directement et conjointement à l’explication du niveau de détresse psychologique. La seconde hypothèse induite par le modèle proposé, pose que le milieu de travail médiatise la relation entre la profession réglementée et le niveau de détresse psychologique. La troisième et dernière hypothèse de recherche, postule enfin que la relation entre le milieu de travail et le niveau de détresse psychologique est modérée par les caractéristiques individuelles ainsi que par la famille et le réseau social hors-travail. Ces hypothèses de recherche furent testées à partir des données longitudinales de l’Enquête nationale sur la santé de la population (ENSP) (cycles 1 à 7). Les résultats obtenus sont présentés sous forme de 3 articles, soumis pour publication, lesquels constituent les chapitres 5 à 7 de cette thèse. Dans l’ensemble, le modèle théorique proposé obtient un soutien empirique important et tend à démontrer que la profession réglementée influence directement les chances de vivre de la détresse psychologique au fil du temps, ainsi que le niveau de détresse psychologique lui-même. Les résultats indiquent que les professions réglementées sont soumises à des risques différenciés en termes de conditions de travail susceptibles de susciter de la détresse psychologique. Notons également que la contribution du milieu de travail et de la profession réglementée s’exerce indépendamment des autres dimensions du modèle (famille, réseau social hors-travail, caractéristiques personnelles). Les résultats corroborent l’importance de considérer plusieurs dimensions de la vie d’un individu dans l’étude de la détresse psychologique et mettent à l’ordre du jour l’importance de développer de nouveaux modèles théoriques, mieux adaptés aux contextes de travail au sein desquels oeuvrent les travailleurs du savoir. Cette thèse conclue sur les implications de ces résultats pour la recherche, et sur les retombées qui en découlent pour le marché du travail ainsi que pour le développement futur du système professionnel québécois et canadien.

Immigration et insertion professionnelle : le cas des Haïtiens arrivés au Québec après le tremblement de terre de 2010.

Ce mémoire porte sur la question de l’insertion sur le marché du travail, des Haïtiens arrivés au Québec après le tremblement de terre désastreux qui frappa Haïti le 12 janvier 2010. Notre objectif est d'analyser la trajectoire professionnelle de ce groupe et de déterminer les difficultés rencontrées au cours de leur projet d'insertion en emploi. Notre projet s’inscrit dans le cadre de l'approche plurielle développée par Victor Piché qui propose de porter attention à la fois aux facteurs macro-structurels, micro-individuels et à la force du réseau, dans l'étude du phénomène migratoire et du processus d'intégration de la personne immigrante au sein du pays d'accueil. Dans le cadre de ce mémoire, nous avons choisi de réaliser des entretiens avec douze immigrants haïtiens. Cela nous a permis de recueillir des informations de première main sur les différents éléments qui les ont amenés à la décision d'immigrer au Québec et sur leurs parcours sur le marché du travail dans le pays d’accueil. Il ressort des entretiens que l'évaluation que font les répondants du bon déroulement de leur intégration socio-professionnelle dépend particulièrement de facteurs micro-individuels tels que : la maitrise des langues officielles, la connaissance des stratégies favorisant l'insertion en emploi, la connaissance des pratiques locales et du fonctionnement du marché du travail et le statut d'immigration. Très peu des immigrants haïtiens que nous avons rencontrés ont abordé la question de la discrimination, notamment parce qu’ils semblent avoir intégré le discours sur la compétition et l'individualisation et ramènent à des facteurs individuels les succès et les échecs qu'ils ont connus lors de la recherche d'emploi. En d’autres mots, les personnes interrogées semblent avoir intériorisé le discours sur « la lutte des places » les enjoignant à ne pas se contenter « d'être bon », mais d’être « le/la meilleur(e) » pour pouvoir concurrencer les "Québécois de souche" sur le marché de l'emploi.

A Multi-scale Model for Copper Dishing in Chemical-Mechanical Polishing

The present success in the manufacture of multi-layer interconnects in ultra-large-scale integration is largely due to the acceptable planarization capabilities of the chemical-mechanical polishing (CMP) process. In the past decade, copper has emerged as the preferred interconnect material. The greatest challenge in Cu CMP at present is the control of wafer surface non-uniformity at various scales. As the size of a wafer has increased to 300 mm, the wafer-level non-uniformity has assumed critical importance. Moreover, the pattern geometry in each die has become quite complex due to a wide range of feature sizes and multi-level structures. Therefore, it is important to develop a non-uniformity model that integrates wafer-, die- and feature-level variations into a unified, multi-scale dielectric erosion and Cu dishing model. In this paper, a systematic way of characterizing and modeling dishing in the single-step Cu CMP process is presented. The possible causes of dishing at each scale are identified in terms of several geometric and process parameters. The feature-scale pressure calculation based on the step-height at each polishing stage is introduced. The dishing model is based on pad elastic deformation and the evolving pattern geometry, and is integrated with the wafer- and die-level variations. Experimental and analytical means of determining the model parameters are outlined and the model is validated by polishing experiments on patterned wafers. Finally, practical approaches for minimizing Cu dishing are suggested.

A Multi-scale Model for Copper Dishing in Chemical-Mechanical Polishing

The present success in the manufacture of multi-layer interconnects in ultra-large-scale integration is largely due to the acceptable planarization capabilities of the chemical-mechanical polishing (CMP) process. In the past decade, copper has emerged as the preferred interconnect material. The greatest challenge in Cu CMP at present is the control of wafer surface non-uniformity at various scales. As the size of a wafer has increased to 300 mm, the wafer-level non-uniformity has assumed critical importance. Moreover, the pattern geometry in each die has become quite complex due to a wide range of feature sizes and multi-level structures. Therefore, it is important to develop a non-uniformity model that integrates wafer-, die- and feature-level variations into a unified, multi-scale dielectric erosion and Cu dishing model. In this paper, a systematic way of characterizing and modeling dishing in the single-step Cu CMP process is presented. The possible causes of dishing at each scale are identified in terms of several geometric and process parameters. The feature-scale pressure calculation based on the step-height at each polishing stage is introduced. The dishing model is based on pad elastic deformation and the evolving pattern geometry, and is integrated with the wafer- and die-level variations. Experimental and analytical means of determining the model parameters are outlined and the model is validated by polishing experiments on patterned wafers. Finally, practical approaches for minimizing Cu dishing are suggested.

Neural and wavelet network models for financial distress classification

This work analyzes the use of linear discriminant models, multi-layer perceptron neural networks and wavelet networks for corporate financial distress prediction. Although simple and easy to interpret, linear models require statistical assumptions that may be unrealistic. Neural networks are able to discriminate patterns that are not linearly separable, but the large number of parameters involved in a neural model often causes generalization problems. Wavelet networks are classification models that implement nonlinear discriminant surfaces as the superposition of dilated and translated versions of a single "mother wavelet" function. In this paper, an algorithm is proposed to select dilation and translation parameters that yield a wavelet network classifier with good parsimony characteristics. The models are compared in a case study involving failed and continuing British firms in the period 1997-2000. Problems associated with over-parameterized neural networks are illustrated and the Optimal Brain Damage pruning technique is employed to obtain a parsimonious neural model. The results, supported by a re-sampling study, show that both neural and wavelet networks may be a valid alternative to classical linear discriminant models.

Interventions in social networks: impact on mood and network dynamics

Results from two studies on longitudinal friendship networks are presented, exploring the impact of a gratitude intervention on positive and negative affect dynamics in a social network. The gratitude intervention had been previously shown to increase positive affect and decrease negative affect in an individual but dynamic group effects have not been considered. In the first study the intervention was administered to the whole network. In the second study two social networks are considered and in each only a subset of individuals, initially low/high in negative affect respectively received the intervention as `agents of change'. Data was analyzed using stochastic actor based modelling techniques to identify resulting network changes, impact on positive and negative affect and potential contagion of mood within the group. The first study found a group level increase in positive and a decrease in negative affect. Homophily was detected with regard to positive and negative affect but no evidence of contagion was found. The network itself became more volatile along with a fall in rate of change of negative affect. Centrality measures indicated that the best broadcasters were the individuals with the least negative affect levels at the beginning of the study. In the second study, the positive and negative affect levels for the whole group depended on the initial levels of negative affect of the intervention recipients. There was evidence of positive affect contagion in the group where intervention recipients had low initial level of negative affect and contagion in negative affect for the group where recipients had initially high level of negative affect.

Spectroscopic evidence of extended states in quantized Hall phase of weakly coupled GaAs/AlGaAs multi-layers

The influence of the interlayer coupling on formation of the quantized Hall conductor phase at the filling factor v = 2 was studied in the multi-layer GaAs/AlGaAs heterostructures. The disorder broadened Gaussian photoluminescence line due to the localized electrons was found in the quantized Hall phase of the isolated multi-quantum well structure. On the other hand, the quantized Hall phase of the weakly coupled multi-layers emitted an unexpected asymmetrical line similar to that one observed in the metallic electron systems. We demonstrated that the observed asymmetry is caused by a partial population of the extended electron states formed in the quantized Hall conductor phase due to the interlayer percolation. A sharp decrease of the single-particle scattering time associated with these extended states was observed at the filling factor v = 2. (c) 2007 Elsevier B.V. All rights reserved.

Wear Particle Classifier System Based on an Artificial Neural Network

This paper describes a method of identifying morphological attributes that classify wear particles in relation to the wear process from which they originate and permit the automatic identification without human expertise. The method is based on the use of Multi Layer Perceptron (MLP) for analysis of specific types of microscopic wear particles. The classification of the wear particles was performed according to their morphological attributes of size and aspect ratio, among others. (C) 2010 Journal of Mechanical Engineering. All rights reserved.

Identification of steel bars immersed in reinforced concrete based on experimental results of eddy current testing and artificial neural network analysis

This paper presents an experimental research on the use of eddy current testing (ECT) and artificial neural networks (ANNs) in order to identify the gauge and position of steel bars immersed in concrete structures. The paper presents details of the ECT probe and concrete specimens constructed for the tests, and a study about the influence of the concrete on the values of measured voltages. After this, new measurements were done with a greater number of specimens, simulating a field condition and the results were used to generate training and validation vectors for multilayer perceptron ANNs. The results show a high percentage of correct identification with respect to both, the gauge of the bar and of the thickness of the concrete cover. © 2013 Copyright Taylor and Francis Group, LLC.

O ensino de ciências e as tecnologias digitais: competências para a mediação pedagógica

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Evaluation of a multi variated analysis for the selection of t-tbar multijet events in the current CMS implemented environment at LHC

In the present study we are using multi variate analysis techniques to discriminate signal from background in the fully hadronic decay channel of ttbar events. We give a brief introduction to the role of the Top quark in the standard model and a general description of the CMS Experiment at LHC. We have used the CMS experiment computing and software infrastructure to generate and prepare the data samples used in this analysis. We tested the performance of three different classifiers applied to our data samples and used the selection obtained with the Multi Layer Perceptron classifier to give an estimation of the statistical and systematical uncertainty on the cross section measurement.