Ume txikien emozioak joko-jolas motorretan

[eus] Lan hau 3 urteko umeen gelan egindako ikerketa bat da, bertan, jolas tradizionalak praktikan jarriko dira eta hauek umeen emozioetan duten eragina aztertuko da. Horretarako ikerketa hau 3 fase desberdinetan planteatu dugu: lehenengo pausua, jolas tradizionalak irudien bidez zer diren azaltzea izan da; ondoren, kontinente desberdinetako jolas tradizional batzuk burutu egin ditugu; eta, jarraian, umeak sentitu dutena marrazki batean adierazi dute. Praktikatutako jardueren barne logika aztertu dugu, espazio, denbora, harremanak eta objektuak eta umeek marraztutako marrazkiekin erlazionatu ditugu.

Vertigens de uma psicanálise a céu aberto: a cidade contribuições do acompanhamento terapêutico à clínica na reforma psiquiátrica

A pesquisa, interessada em precisar as ferramentas conceituais que possibilitam operar a clínica no campo da reforma psiquiátrica quando a cidade invade o setting do tratamento e vem colocar a clínica em questão tem como ponto de partida o percurso de uma experiência desenvolvida nos últimos dez anos junto à Universidade Federal do Rio Grande do Sul, em parceria com serviços de saúde mental da rede pública, tendo a atividade do acompanhamento terapêutico como vetor. Clínica e cidade foram os fios condutores desta investigação, que recorre inicialmente a leituras diversas, da história, geografia, ciências sociais, literatura, filosofia, para acompanhar desde a formação das cidades medievais até o advento das metrópoles contemporâneas. O nascimento do alienismo é inscrito nesse contexto, no momento de instauração das sociedades democráticas modernas, cuja ambição pelo governo das lamas engendra o ideal isolacionista que o asilo psiquiátrico veio presentificar, de forma que a psiquiatria e suas congêneres, nascidas na cidade, dela vêm se apartar, o que se coloca como paradoxo presente nos processos de reforma psiquiátrica contemporâneos que propugnam o retorno da loucura ao convívio nas cidades. Considerando que é esses paradoxo que o acompanhamento terapêutico, ao abrir-se à cidade, vem habita, a pesquisa busca identificar as ferramentas conceituais de que se serve o acompanhamento terapêutico em cada uma de suas vertentes em cada uma de suas vertentes teóricas referendadas seja em Lacan, em, Winnicott ou Deleuze e Guattari e o modo como essas ferramentas possibilitam à clínica a incorporação do espaço pública, através de objetos e relações, tanto simbólicos como materiais, sem fazer uso de uma relação de domínio à parte que implique em segregação com respeito à sociedade comum. Conclui-se, daí, que, se a incidência da cidade na prática do acompanhamento terapêutico configura o traço que singulariza essa prática como um dos modos de fazer clínica, ela é, ao mesmo tempo, o que leva ao seu limite paradoxal o modo como a clínica se faz, cabendo disso extrais as consequências que interessam a uma clínica conforme a radicalidade do que propõe a reforma psiquiátrica.

A materialidade e o adverso nos Bólides de Hélio Oiticica

A pesquisa analisa a criação de adversidade através da materialidade crua e rústica utilizada nos Bólides de Hélio Oiticica. O papel da materialidade tornou-se evidente a partir da percepção de que os ditos objetos realizam um convite àquilo que chamamos de participação adversa. Ao mesmo tempo em que eram objetos capazes de despertar a curiosidade do espectador e incitá-lo à manipulação, o faziam através do toque de substâncias ásperas e pouco suaves, como por exemplo, pedaços de madeira mal pintada, telas de nylon, conchas e pigmento em pó. O despertar de sensações contrárias ao prazer sensorial sugeriu que não apenas a materialidade estaria no cerne da questão da criação de adversidade como um dos fios condutores da obra de Oiticica, como também que a captura de objetos descartados oriundos do cotidiano seria a maneira do artista estruturar a sua noção de adversidade (da vida e da arte). Para compreender o papel estrutural dos objetos despejados do dia-a-dia, realizamos a aproximação entre o adverso e o abjeto (KRAUSS, 2000), bem como o pensamento do informe como elemento operacional da obra (YVE-ALAIN BOIS, 2000). A materialidade rude foi vista ainda como criadora de uma temporalidade de instantes para os Bólides e aqueles que os manipulavam, como organizadora de fricção com o espaço e a cultura e ainda como elemento de rebaixamento da condição matérica e do espectador

Uma Metodologia para Auxiliar no Processo de Conversão de Bases Cartográficas Utilizando o Padrão da Estrutura de Dados Geoespaciais Vetoriais.

Na década de 80, o surgimento de programas de computadores mais amigáveis para usuários e produtores de informação e a evolução tecnológica fizeram com que as instituições, públicas e privadas, se aperfeiçoassem em estudos sobre sistemas de produção cartográfica apoiados por computador, visando a implementação de Sistemas de Informação Geográfica (SIG). A pouca simultaneidade de forças entre órgãos interessados, resultou em uma grande quantidade de arquivos digitais com a necessidade de padronização. Em 2007, a Comissão Nacional de Cartografia (CONCAR) homologou a Estrutura de Dados Geoespaciais Vetoriais (EDGV) a fim de minimizar o problema da falta de padronização de bases cartográficas. A presente dissertação tem como foco elaborar uma metodologia de trabalho para o processo de conversão de bases cartográficas digitais existentes no padrão da Mapoteca Topográfica Digital (MTD), do Instituto Brasileiro de Geografia e Estatística (IBGE), para o padrão da EDGV, bem como suas potencialidades e limitações para integração e padronização de bases cartográficas digitais. Será feita uma aplicação da metodologia utilizando a carta topográfica de Saquarema, na escala de 1:50.000, vetorizada na Coordenação de Cartografia (CCAR) do IBGE e disponível na Internet. Como a EDGV foi elaborada segundo técnicas de modelagem orientada a objetos, foi necessário um mapeamento para banco de dados relacional, já que este ainda é utilizado pela maioria dos usuários e produtores de informação geográfica. Um dos objetivos específicos é elaborar um esquema de banco de dados, ou seja, um banco de dados vazio contendo todas as classes de objetos, atributos e seus respectivos domínios existentes na EDGV para que possa ser utilizado no processo de produção cartográfica do IBGE. Este esquema conterá todas as descrições dos objetos e de seus respectivos atributos, além de já permitir que o usuário selecione o domínio de um determinado atributo em uma lista pré definida, evitando que ocorra erro no preenchimento dados. Esta metodologia de trabalho será de grande importância para o processo de conversão das bases cartográficas existentes no IBGE e, com isso, gerar e disponibilizar bases cartográficas no padrão da EDGV.

A modular planar robotic manipulandum with end-point torque control.

Robotic manipulanda are extensively used in investigation of the motor control of human arm movements. They permit the application of translational forces to the arm based on its state and can be used to probe issues ranging from mechanisms of neural control to biomechanics. However, most current designs are optimized for studying either motor learning or stiffness. Even fewer include end-point torque control which is important for the simulation of objects and the study of tool use. Here we describe a modular, general purpose, two-dimensional planar manipulandum (vBOT) primarily optimized for dynamic learning paradigms. It employs a carbon fibre arm arranged as a parallelogram which is driven by motors via timing pulleys. The design minimizes the intrinsic dynamics of the manipulandum without active compensation. A novel variant of the design (WristBOT) can apply torques at the handle using an add-on cable drive mechanism. In a second variant (StiffBOT) a more rigid arm can be substituted and zero backlash belts can be used, making the StiffBOT more suitable for the study of stiffness. The three variants can be used with custom built display rigs, mounting, and air tables. We investigated the performance of the vBOT and its variants in terms of effective end-point mass, viscosity and stiffness. Finally we present an object manipulation task using the WristBOT. This demonstrates that subjects can perceive the orientation of the principal axis of an object based on haptic feedback arising from its rotational dynamics.

Functional programming based CACSD environment

An engineering design environment should allow users to design complex engineering systems, to manage and coordinate the designs as they proceed, and to develop and modify the software tools used for designs. These requirements call for a programming environment with an integrated set of software tools of different functionalities. The required functionalities are mainly: the provision of design algorithms based on suitable numeric software, appropriate data structures for the application area, a user-friendly interface, and the provision of a design database for the long term management of the designs generated. The provision of such an integrated design environment in a functional programming environment with particular emphasis on the provision of appropriate control-theoretic data structures and data model is described. Object-orientation is used to model entities in the application domain, which are represented by persistent objects in the database. Structural properties, relationships and operations on entities are modelled through objects and functions classified into strict types with inheritance semantics and a recursive structure.

The National Aquatic Resources Agency of Sri Lanka

A general discussion on the establishment of the National Aquatic Resource Agency, its functions and activities, is presented under the following major headings: objects and functions; the institutional framework: policy-making and interaction and coordination, and implementation; the Agency; and the activities of the Agency.

Learning shape priors for single view reconstruction

In this paper, we aim to reconstruct free-from 3D models from a single view by learning the prior knowledge of a specific class of objects. Instead of heuristically proposing specific regularities and defining parametric models as previous research, our shape prior is learned directly from existing 3D models under a framework based on the Gaussian Process Latent Variable Model (GPLVM). The major contributions of the paper include: 1) a probabilistic framework for prior-based reconstruction we propose, which requires no heuristic of the object, and can be easily generalized to handle various categories of 3D objects, and 2) an attempt at automatic reconstruction of more complex 3D shapes, like human bodies, from 2D silhouettes only. Qualitative and quantitative experimental results on both synthetic and real data demonstrate the efficacy of our new approach. ©2009 IEEE.

Semi-supervised video segmentation using tree structured graphical models

We present a novel, implementation friendly and occlusion aware semi-supervised video segmentation algorithm using tree structured graphical models, which delivers pixel labels alongwith their uncertainty estimates. Our motivation to employ supervision is to tackle a task-specific segmentation problem where the semantic objects are pre-defined by the user. The video model we propose for this problem is based on a tree structured approximation of a patch based undirected mixture model, which includes a novel time-series and a soft label Random Forest classifier participating in a feedback mechanism. We demonstrate the efficacy of our model in cutting out foreground objects and multi-class segmentation problems in lengthy and complex road scene sequences. Our results have wide applicability, including harvesting labelled video data for training discriminative models, shape/pose/articulation learning and large scale statistical analysis to develop priors for video segmentation. © 2011 IEEE.

Single trial learning of external dynamics: What can the brain teach us about learning mechanisms?

Humans have exceptional abilities to learn new skills, manipulate tools and objects, and interact with our environment. In order to be successful at these tasks, our brain has developed learning mechanisms to deal with and compensate for the constantly changing dynamics of the world. If this mechanism or mechanisms can be understood from a computational point of view, then they can also be used to drive the adaptability and learning of robots. In this paper, we will present a new technique for examining changes in the feedforward motor command due to adaptation. This technique can then be utilized for examining motor adaptation in humans and determining a computational algorithm which explains motor learning. © 2007.

Learning the dynamics of the external world: Brain inspired learning for robotic applications

Humans have exceptional abilities to learn new skills, manipulate tools and objects, and interact with our environment. In order to be successful at these tasks, our brain has become exceptionally well adapted to learning to deal not only with the complex dynamics of our own limbs but also with novel dynamics in the external world. While learning of these dynamics includes learning the complex time-varying forces at the end of limbs through the updating of internal models, it must also include learning the appropriate mechanical impedance in order to stabilize both the limb and any objects contacted in the environment. This article reviews the field of human learning by examining recent experimental evidence about adaptation to novel unstable dynamics and explores how this knowledge about the brain and neuro-muscular system can expand the learning capabilities of robotics and prosthetics. © 2006.

Principles of sensorimotor learning.

The exploits of Martina Navratilova and Roger Federer represent the pinnacle of motor learning. However, when considering the range and complexity of the processes that are involved in motor learning, even the mere mortals among us exhibit abilities that are impressive. We exercise these abilities when taking up new activities - whether it is snowboarding or ballroom dancing - but also engage in substantial motor learning on a daily basis as we adapt to changes in our environment, manipulate new objects and refine existing skills. Here we review recent research in human motor learning with an emphasis on the computational mechanisms that are involved.

Principles of sensorimotor learning

The exploits of Martina Navratilova and Roger Federer represent the pinnacle of motor learning. However, when considering the range and complexity of the processes that are involved in motor learning, even the mere mortals among us exhibit abilities that are impressive. We exercise these abilities when taking up new activities-whether it is snowboarding or ballroom dancing-but also engage in substantial motor learning on a daily basis as we adapt to changes in our environment, manipulate new objects and refine existing skills. Here we review recent research in human motor learning with an emphasis on the computational mechanisms that are involved. © 2011 Macmillan Publishers Limited. All rights reserved.

Construction site image retrieval based on material cluster recognition

The capability to automatically identify shapes, objects and materials from the image content through direct and indirect methodologies has enabled the development of several civil engineering related applications that assist in the design, construction and maintenance of construction projects. This capability is a product of the technological breakthroughs in the area of image processing that has allowed for the development of a large number of digital imaging applications in all industries. In this paper, an automated and content based construction site image retrieval method is presented. This method is based on image retrieval techniques, and specifically those related with material and object identification and matches known material samples with material clusters within the image content. The results demonstrate the suitability of this method for construction site image retrieval purposes and reveal the capability of existing image processing technologies to accurately identify a wealth of materials from construction site images.

Identification of Materials from Construction Site Images Using Content Based Image Retrieval Techniques

The capability to automatically identify shapes, objects and materials from the image content through direct and indirect methodologies has enabled the development of several civil engineering related applications that assist in the design, construction and maintenance of construction projects. Examples include surface cracks detection, assessment of fire-damaged mortar, fatigue evaluation of asphalt mixes, aggregate shape measurements, velocimentry, vehicles detection, pore size distribution in geotextiles, damage detection and others. This capability is a product of the technological breakthroughs in the area of Image and Video Processing that has allowed for the development of a large number of digital imaging applications in all industries ranging from the well established medical diagnostic tools (magnetic resonance imaging, spectroscopy and nuclear medical imaging) to image searching mechanisms (image matching, content based image retrieval). Content based image retrieval techniques can also assist in the automated recognition of materials in construction site images and thus enable the development of reliable methods for image classification and retrieval. The amount of original imaging information produced yearly in the construction industry during the last decade has experienced a tremendous growth. Digital cameras and image databases are gradually replacing traditional photography while owners demand complete site photograph logs and engineers store thousands of images for each project to use in a number of construction management tasks. However, construction companies tend to store images without following any standardized indexing protocols, thus making the manual searching and retrieval a tedious and time-consuming effort. Alternatively, material and object identification techniques can be used for the development of automated, content based, construction site image retrieval methodology. These methods can utilize automatic material or object based indexing to remove the user from the time-consuming and tedious manual classification process. In this paper, a novel material identification methodology is presented. This method utilizes content based image retrieval concepts to match known material samples with material clusters within the image content. The results demonstrate the suitability of this methodology for construction site image retrieval purposes and reveal the capability of existing image processing technologies to accurately identify a wealth of materials from construction site images.