A vision for change: Report of the Expert Group on Mental Health Policy (2006)

This report, the first comprehensive review of mental health policy since 'Planning for the Future' was published in 1984, makes a series of recommendations for the mental health services, including the closure of all psychiatric hospitals and re-investment of the resources into a community-based mental health service.This resource was contributed by The National Documentation Centre on Drug Use.

Behaviours implemented using a vision system based on coded light projection

In a search for new sensor systems and new methods for underwater vehicle positioning based on visual observation, this paper presents a computer vision system based on coded light projection. 3D information is taken from an underwater scene. This information is used to test obstacle avoidance behaviour. In addition, the main ideas for achieving stabilisation of the vehicle in front of an object are presented

From Persephone to Pan: D. H. Lawrence's mythopoeic vision of the integrated personality with special emphasis on the short fiction and other writings in the early nineteen twenties

This doctoral thesis was published in printed form in 1987. It was digitized from paper copy in 2013. Unfortunately on some pages the digitizaion process has not been complete, i.e there are some minor typographic erros on some pages.

L'écriture comme intensité : la vision métaphorique à travers l'oeuvre de Reinaldo Arenas

En observant le foisonnement de métaphores de la lumière et de la vision dans l’œuvre de Reinaldo Arenas – l’accentuation de la couleur, l’éblouissement, la brûlure et le dédoublement – cette thèse s’interroge sur la vision de l’écriture formulée dans et à partir de ces images, et sur les implications de cette vision. Constatant à travers cette réflexion l’inscription à même le langage des images de la lumière et de la vision – de la réflexion à la clarté, en passant par l’image et la lucidité – cette thèse délibère, à travers l’œuvre de Reinaldo Arenas et celle de Jorge Luis Borges, sur une définition de l’écriture comme intensité, notion et image empruntées au registre du sensible par le détour de la physique. Le premier chapitre s’intéresse à la couleur comme phénomène de la vision, du sensible, de l’affect et de la nuance, ainsi qu’à la métaphore de la cécité abordée par Borges et par Paul de Man comme phénomène de la lecture, points d’entrée à une réflexion sur l’écriture. Le second chapitre aborde la notion d’éblouissement en tant qu’intensité de la lumière et temporalité de la prise de conscience lucide, définissant ainsi une vision du temps et les affinités entre la temporalité de l’écriture et celle de l’image poétique. Le troisième chapitre, réitérant la question de la relation au temps – historique et narratif –, réaffirme les inflexions du langage en fonction de la lumière, c’est-à-dire la relation entre l’aspect « lumineux » du langage, l’intensité de la lumière et l’intensité de l’écriture (entendue comme écriture littéraire), en explorant le seuil (la destruction par le feu) mis en lumière par l’image du phénix, figure mythique et littéraire de la transformation des images, selon la définition de l’imagination proposée par Gaston Bachelard. Enfin, la double conclusion (une conclusion en deux parties, ou deux conclusions réfléchies l’une dans l’autre), relie les images poétiques de la lumière évoquées et leurs implications en examinant la portée d’une vision de l’écriture comme intensité. Cette idée est élaborée à travers l’image finale du double, figure littéraire constitutive et omniprésente à la fois chez Arenas et chez Borges, image non seulement de la relation entre le personnage et son double (qui relève de l’hallucination ou de l’imagination, images, encore une fois, de la vision), mais aussi de la relation entre l’auteur et le texte, le lecteur et le texte, l’écriture et le temps. La double conclusion vise le dédoublement et redoublement comme figures de l’intensité dans l’écriture. Le lien entre la vision métaphorique et l’écriture comme intensité est donc articulé par la métaphore, telle qu’entendue par Borges, élargie à l’image poétique dans la perspective de Gaston Bachelard ; elle s’appuie sur la vision de la littérature pensée et écrite par Arenas. La réflexion est double : dans le texte et sur le texte, au plan poétique et au plan d’une réflexion sur l’écriture d’Arenas ; sur l’écriture et, implicitement, sur la littérature.

Behaviours implemented using a vision system based on coded light projection

In a search for new sensor systems and new methods for underwater vehicle positioning based on visual observation, this paper presents a computer vision system based on coded light projection. 3D information is taken from an underwater scene. This information is used to test obstacle avoidance behaviour. In addition, the main ideas for achieving stabilisation of the vehicle in front of an object are presented

Marr's vision: twenty-five years on

It is twenty-five years since the posthumous publication of David Marr's book Vision [1]. Only 35 years old when he died, Man, had already dramatically influenced vision research. His book, and the series of papers that preceded it, have had a lasting impact on the way that researchers approach human and computer vision.

Monocular vision and increased distance reducing the effects of visual manipulation on body sway

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Is your vision consistent? A method for checking, based on scenario concepts

Common sense tells us that the future is an essential element in any strategy. In addition, there is a good deal of literature on scenario planning, which is an important tool in considering the future in terms of strategy. However, in many organizations there is serious resistance to the development of scenarios, and they are not broadly implemented by companies. But even organizations that do not rely heavily on the development of scenarios do, in fact, construct visions to guide their strategies. But it might be asked, what happens when this vision is not consistent with the future? To address this problem, the present article proposes a method for checking the content and consistency of an organization's vision of the future, no matter how it was conceived. The proposed method is grounded on theoretical concepts from the field of future studies, which are described in this article. This study was motivated by the search for developing new ways of improving and using scenario techniques as a method for making strategic decisions. The method was then tested on a company in the field of information technology in order to check its operational feasibility. The test showed that the proposed method is, in fact, operationally feasible and was capable of analyzing the vision of the company being studied, indicating both its shortcomings and points of inconsistency. (C) 2007 Elsevier Ltd. All rights reserved.

A computer vision approach to quantify leaf anatomical plasticity: A case study on gochnatia polymorpha (less.) cabrera

Inferences about leaf anatomical characteristics had largely been made by manually measuring diverse leaf regions, such as cuticle, epidermis and parenchyma to evaluate differences caused by environmental variables. Here we tested an approach for data acquisition and analysis in ecological quantitative leaf anatomy studies based on computer vision and pattern recognition methods. A case study was conducted on Gochnatia polymorpha (Less.) Cabrera (Asteraceae), a Neotropical savanna tree species that has high phenotypic plasticity. We obtained digital images of cross-sections of its leaves developed under different light conditions (sun vs. shade), different seasons (dry vs. wet) and in different soil types (oxysoil vs. hydromorphic soil), and analyzed several visual attributes, such as color, texture and tissues thickness in a perpendicular plane from microscopic images. The experimental results demonstrated that computational analysis is capable of distinguishing anatomical alterations in microscope images obtained from individuals growing in different environmental conditions. The methods presented here offer an alternative way to determine leaf anatomical differences. © 2013 Elsevier B.V.

Machine vision and planning applied on assembby line of multiple products

This article describes the use of Artificial Intelligence (IA) techniques applied in cells of a manufacturing system. Machine Vision was used to identify pieces and their positions of two different products to be assembled in the same productive line. This information is given as input for an IA planner embedded in the manufacturing system. Therefore, initial and final states are sent automatically to the planner capable to generate assembly plans for a robotic cell, in real time.

A computer-controlled color vision test for children based on the Cambridge Colour Test

The present study aimed at providing conditions for the assessment of color discrimination in children using a modified version of the Cambridge Colour Test (CCT, Cambridge Research Systems Ltd., Rochester, UK). Since the task of indicating the gap of the Landolt C used in that test proved counterintuitive and/or difficult for young children to understand, we changed the target Stimulus to a patch of color approximately the size of the Landolt C gap (about 7 degrees Of Visual angle at 50 cm from the monitor). The modifications were performed for the CCT Trivector test which measures color discrimination for the protan, deutan and tritan confusion lines. Experiment I Sought to evaluate the correspondence between the CCT and the child-friendly adaptation with adult subjects (n = 29) with normal color vision. Results showed good agreement between the two test versions. Experiment 2 tested the child-friendly software with children 2 to 7 years old (n = 25) using operant training techniques for establishing and maintaining the subjects` performance. Color discrimination thresholds were progressively lower as age increased within the age range tested (2 to 30 years old), and the data-including those obtained for children-fell within the range of thresholds previously obtained for adults with the CCT. The protan and deutan thresholds were consistently lower than tritan thresholds, a pattern repeatedly observed in adults tested with the CCT. The results demonstrate that the test is fit for assessment of color discrimination in young children and may be a useful tool for the establishment of color vision thresholds during development.

Deep learning for computer vision: a comparison between convolutional neural networks and hierarchical temporal memories on object recognition tasks

In recent years, Deep Learning techniques have shown to perform well on a large variety of problems both in Computer Vision and Natural Language Processing, reaching and often surpassing the state of the art on many tasks. The rise of deep learning is also revolutionizing the entire field of Machine Learning and Pattern Recognition pushing forward the concepts of automatic feature extraction and unsupervised learning in general. However, despite the strong success both in science and business, deep learning has its own limitations. It is often questioned if such techniques are only some kind of brute-force statistical approaches and if they can only work in the context of High Performance Computing with tons of data. Another important question is whether they are really biologically inspired, as claimed in certain cases, and if they can scale well in terms of "intelligence". The dissertation is focused on trying to answer these key questions in the context of Computer Vision and, in particular, Object Recognition, a task that has been heavily revolutionized by recent advances in the field. Practically speaking, these answers are based on an exhaustive comparison between two, very different, deep learning techniques on the aforementioned task: Convolutional Neural Network (CNN) and Hierarchical Temporal memory (HTM). They stand for two different approaches and points of view within the big hat of deep learning and are the best choices to understand and point out strengths and weaknesses of each of them. CNN is considered one of the most classic and powerful supervised methods used today in machine learning and pattern recognition, especially in object recognition. CNNs are well received and accepted by the scientific community and are already deployed in large corporation like Google and Facebook for solving face recognition and image auto-tagging problems. HTM, on the other hand, is known as a new emerging paradigm and a new meanly-unsupervised method, that is more biologically inspired. It tries to gain more insights from the computational neuroscience community in order to incorporate concepts like time, context and attention during the learning process which are typical of the human brain. In the end, the thesis is supposed to prove that in certain cases, with a lower quantity of data, HTM can outperform CNN.