Habitus, representações sociais e a construção do ser professora da educação infantil da cidade de Campina Grande - PB

We present here the results of a study whose objectives were to identify the social representation of being a professor of early childhood education in Campina Grande - PB, in the public state and municipal levels, and detect structural diagrams of a possible mental habitus of professorial faculty of education child, which would form the basis for the construction of this representation. As a theoretical base, we adopted the model developed by Domingos Sobrinho (1998, 2000, 2003, 2010, 2011), which articulates the Theory of Social Representations, Serge Moscovici, and the foundations and concepts of Pierre Bourdieu praxiology. It is based also on the Central Nucleus Theory, which focuses on the structural approach of social representations. Thus, puts in evidence the relational dynamics and symbolic, through which individuals come into contact, describe, understand and reproduce the outside world in his image and likeness. 199 teachers participated in the study of child care and pre-schools of Campina Grande - PB and 109 of the state. The methods and techniques used were: a) participant observation of everyday life of teachers of kindergartens and preschools, b) semi-structured interview, c) free associations of words with inducing the expression 'being a professor of early childhood education is ...' and d) semi-structured questionnaire. The data were analyzed in the case of interviews through the categorical content analysis, as proposed by Bauer (2010); free-associations, using the software Ensemble L'Analyse des Programmes Permettant evocations (EVOC), developed by Vergès (2002), which combines frequency and average order of recall (or association) and the questionnaire data, the Statistical Package for the Social Sciences (SPSS). It was verified the existence of a unique social representation shared by the population studied, but its content is structured differently. For local teachers, the centrality of the content is given by the elements commitment, dedication, responsibility, and rewarding teachers for this state revolves around the elements of love, patience, and rewarding responsibility. However, it is constructed mainly based on the related produced by a religious habitus and maternal habitus, which are part of the genesis of the establishment of professorial habitus in focus, among other cultural references of secondary influence. We conclude that a teacher of early childhood education actually researched, is materialized in the practices of educating and caring, in a clear fusion of the role of teacher and mother

Modelagem e controle de um microveículo aéreo: uma aplicação de estabilidade robusta com a técnica backstepping em uma estrutura hexarrotor

In this Thesis, the development of the dynamic model of multirotor unmanned aerial vehicle with vertical takeoff and landing characteristics, considering input nonlinearities and a full state robust backstepping controller are presented. The dynamic model is expressed using the Newton-Euler laws, aiming to obtain a better mathematical representation of the mechanical system for system analysis and control design, not only when it is hovering, but also when it is taking-off, or landing, or flying to perform a task. The input nonlinearities are the deadzone and saturation, where the gravitational effect and the inherent physical constrains of the rotors are related and addressed. The experimental multirotor aerial vehicle is equipped with an inertial measurement unit and a sonar sensor, which appropriately provides measurements of attitude and altitude. A real-time attitude estimation scheme based on the extended Kalman filter using quaternions was developed. Then, for robustness analysis, sensors were modeled as the ideal value with addition of an unknown bias and unknown white noise. The bounded robust attitude/altitude controller were derived based on globally uniformly practically asymptotically stable for real systems, that remains globally uniformly asymptotically stable if and only if their solutions are globally uniformly bounded, dealing with convergence and stability into a ball of the state space with non-null radius, under some assumptions. The Lyapunov analysis technique was used to prove the stability of the closed-loop system, compute bounds on control gains and guaranteeing desired bounds on attitude dynamics tracking errors in the presence of measurement disturbances. The controller laws were tested in numerical simulations and in an experimental hexarotor, developed at the UFRN Robotics Laboratory

Estimadores do tipo núcleo para Variávei s I.I.D. com espaço de estados geral

In this work, the paper of Campos and Dorea [3] was detailed. In that article a Kernel Estimator was applied to a sequence of random variables with general state space, which were independent and identicaly distributed. In chapter 2, the estimator´s properties such as asymptotic unbiasedness, consistency in quadratic mean, strong consistency and asymptotic normality were verified. In chapter 3, using R software, numerical experiments were developed in order to give a visual idea of the estimate process

Estimação paramétrica e não-paramétrica em modelos de markov ocultos

In this work we study the Hidden Markov Models with finite as well as general state space. In the finite case, the forward and backward algorithms are considered and the probability of a given observed sequence is computed. Next, we use the EM algorithm to estimate the model parameters. In the general case, the kernel estimators are used and to built a sequence of estimators that converge in L1-norm to the density function of the observable process

Estimador do Tipo Núcleo para Densidades Limites de Cadeias de Markov com Espaço de Estados Geral

In this work we studied the consistency for a class of kernel estimates of f f (.) in the Markov chains with general state space E C Rd case. This study is divided into two parts: In the first one f (.) is a stationary density of the chain, and in the second one f (x) v (dx) is the limit distribution of a geometrically ergodic chain

Estimadores do tipo núcleo para a densidade de transição de uma cadeia de markov com espaço de estados geral

In this work, we studied the strong consistency for a class of estimates for a transition density of a Markov chain with general state space E ⊂ Rd. The strong ergodicity of the estimates for the density transition is obtained from the strong consistency of the kernel estimates for both the marginal density p(:) of the chain and the joint density q(., .). In this work the Markov chain is supposed to be homogeneous, uniformly ergodic and possessing a stationary density p(.,.)

Ergodicidade em cadeias de Markov não-homogêneas e cadeias de Markov com transições raras

The central objective of a study Non-Homogeneous Markov Chains is the concept of weak and strong ergodicity. A chain is weak ergodic if the dependence on the initial distribution vanishes with time, and it is strong ergodic if it is weak ergodic and converges in distribution. Most theoretical results on strong ergodicity assume some knowledge of the limit behavior of the stationary distributions. In this work, we collect some general results on weak and strong ergodicity for chains with space enumerable states, and also study the asymptotic behavior of the stationary distributions of a particular type of Markov Chains with finite state space, called Markov Chains with Rare Transitions