Methods for Optimal Work Instruction Delivery: Pictograms v Images

This paper focuses on quantifying the benefits of pictogram based instructions relative to static images for work instruction delivery. The assembly of a stiffened aircraft panel has been used as an exemplar for the work which seeks to address the challenge of identifying an instructional mode that can be location or language neutral while at the same time optimising assembly build times and maintaining build quality. Key performance parameters measured using a series of panel build experiments conducted by two separate groups were: overall build time, the number of subject references to instructional media, the number of build errors and the time taken to correct any mistakes. Overall build time for five builds for a group using pictogram instructions was about 20% lower than for the group using image based instructions. Also, the pictogram group made fewer errors. Although previous work identified that animated instructions result in optimal build times, the language neutrality of pictograms as well as the fact that they can be used without visualisation hardware mean that, on balance, they have broader applicability in terms of transferring assembly knowledge to the manufacturing environment.

Introduction: Mapping Gwen John: Lives, Lines and Images

Nomadic Narratives, Visual Forces explores issues, questions, and problems emerging in the analysis of epistolary and visual narratives. This book focuses in particular on Gwen John's letters and paintings. It offers an innovative theoretical approach to narrative analysis by drawing on Foucault's theory of power, Deleuze and Guattari's analytics of desire, and Cavarero's concept of the narratable self. Furthermore, it examines the use of letters as documents of life in narrative research and highlights the dynamics of spatiality in the constitution of the female self in art. This study brings together theoretical insights that emerge from the analysis of life documents - some of them previously unpublished - combining innovative research with specific methodological suggestions on doing narrative analysis.

Prediction of the solar radiation using RBF neural networks and ground-to-sky images

In this study, Artificial Neural Networks are applied to multistep long term solar radiation prediction. The networks are trained as one-step-ahead predictors and iterated over time to obtain multi-step longer term predictions. Auto-regressive and Auto-regressive with exogenous inputs solar radiationmodels are compared, considering cloudiness indices as inputs in the latter case. These indices are obtained through pixel classification of ground-to-sky images. The input-output structure of the neural network models is selected using evolutionary computation methods.

La réception critique des auteurs nés à l'étranger et de leurs oeuvres dans trois périodiques québécois : Voix et images, Lettres Québécoises et Châtelaine (1976-2000)

En 1986, Robert Berrouët-Oriol dénonçait le silence de la critique québécoise envers ce qu'il a appelé les écritures migrantes. Selon lui, on n'octroyait pas à ces textes la place qui leur était due au sein du discours critique. Seule une analyse exhaustive de la réception critique pourrait révéler les mécanismes d'exclusion en vigueur dans le champ littéraire québécois. Tel a été l'objectif de ce mémoire. Le premier chapitre présente une mise en contexte de la réalité vécue par les nouveaux arrivants au Québec. Un panorama des grands enjeux sociaux, politiques et culturels des dernières vingt-cinq années du XXe siècle est proposé. Ce tableau de l'époque se voit complété par un survol des différentes politiques d'intégration mises en place par les gouvernements pour accueillir les immigrants. Enfin, une rapide étude du phénomène des écritures migrantes, inscrites au coeur de la littérature québécoise, clôt ce chapitre. Par la suite, les données sociologiques des auteurs du corpus sont analysées de façon quantitative, afin d'obtenir de ces derniers un profil juste et signifiant. Selon cette même perspective quantitative, nous examinons également les articles colligés dans le but d'y déceler des tendances temporelles et des particularités propres à chacun des périodiques. Le troisième chapitre est consacré à une analyse de la terminologie utilisée par les critiques pour désigner les auteurs nés à l'étranger qui sont traités dans les pages des périodiques sélectionnés. Nous verrons à quels moments et dans quelles circonstances un auteur se voit attribuer une dénomination québécoise ou participant du marquage d'une altérité. Ce mémoire s'achève sur une étude approfondie des thématiques, tout autant celles abordées par les auteurs nés à l'étranger dans leurs ouvrages que relevées par les critiques qui en font la mention.

Automatic processing of bidimensional images of ''omic'' expression blobs

In this work, a comprehensive review on automatic analysis of Proteomics and Genomics images is presented. Special emphasis is given to a particularly complex image produced by a technique called Two-Dimensional Gel Electrophoresis (2-DE), with thousands of spots (or blobs). Automatic methods for the detection, segmentation and matching of blob like features are discussed and proposed. In particular, a very robust procedure was achieved for processing 2-DE images, consisting mainly of two steps: a) A very trustworthy new approach for the automatic detection and segmentation of spots, based on the Watershed Transform, without any foreknowledge of spot shape or size, and without user intervention; b) A new method for spot matching, based on image registration, that performs well for either global or local distortions. The results of the proposed methods are compared to state-of-the-art academic and commercial products.

A Tangled Web: ideas, images, symbols

Fundação para a Ciência e a Tecnologia

3D Reconstruction of Medical Images from Slices Automatically Landmarked with Growing Neural Models

In this study, we utilise a novel approach to segment out the ventricular system in a series of high resolution T1-weighted MR images. We present a brain ventricles fast reconstruction method. The method is based on the processing of brain sections and establishing a fixed number of landmarks onto those sections to reconstruct the ventricles 3D surface. Automated landmark extraction is accomplished through the use of the self-organising network, the growing neural gas (GNG), which is able to topographically map the low dimensionality of the network to the high dimensionality of the contour manifold without requiring a priori knowledge of the input space structure. Moreover, our GNG landmark method is tolerant to noise and eliminates outliers. Our method accelerates the classical surface reconstruction and filtering processes. The proposed method offers higher accuracy compared to methods with similar efficiency as Voxel Grid.

Destination images of non-visitors

This article provides much needed understanding of destination images held by non-visitors. Recognizing the characteristics of non-visitor images and their formation is important in order to understand images more widely. This qualitative study assesses images of London. The views of three hundred people in the Czech Republic who have never visited London were obtained via an innovative open-ended research instrument. The study showed that non-visitors imagine destinations through comparisons with their own experiences of places. Findings indicate that images can be very persistent and that the first images formed of a destination endure over time. Although the research is based on people with no direct experience of London, the research highlights that a range of secondary ‘experiences’ influence image formation.

Regards croisés francophones et portugais : les images des Portugais dans la littérature romanesque contemporaine (1950-2000)

Tese de doutoramento em Línguas e Literaturas Românicas, Literatura Românica Comparada