Narratividade e estruturas cognitivas: o encontro entre a linguagem, a cognição e a experiência sociocultural

This work is within the framework of Cognitive Linguistics, which, as opposed to generative modular approach posits that language is not autonomous but part of human cognition manifest mental processing, socio-cultural and bodily experiences. Our goal is to describe and analyze cognitive mechanisms of understanding who work in the formal and meaningful organization of the narrative. In order to study and verification of this phenomenon, this project was based in the theoretical framework of Rapaport et al (1994) with the treatment of deictic center, Zwaan (1999) and Zwaan and Radvansky (1998) with situation models, Minsky (1974) with the concept frame, Johnson (1987) and Duke and Costa (2012) with pictorial schemes. To this end, we focused on the deictic perspective (WHERE, WHEN, WHO), social cognitive structures (frames) and body (pictorial diagrams) and the situation of models built by compreendedor from these cognitive structures. Methodologically, it is a qualitative research (BAUER and GASKELL, 2002), of interpretive base (MOITA LOPES, 1994), based on introspection (Talmy, 2005). The corpus selected is a sample of twelve texts written by 8th grade students, whose production consists of fictional narrative, the production of diary pages. The analyses were conducted by cognitive structures known as constructional blocks (BCs)(SANTOS, 2011), which guid the discussion about how we build understanding and creation of meanings in narratives. The result shows that the narrative events are mentally represented by the understander that conceives a deictic center and that, guided by it, has access to understanding and construction of meaning in narrative by means of cognitive domains established by bodily and socio-cultural experiences.

Uma linguagem para descrição de missões em sistema-de-sistemas

Sistema-de-sistemas (System-of-Systems - SoS) é um tipo emergente de sistema computacional formado por um grupo de sistemas constituintes, que são independentes e heterogêneos e se unem para compor um sistema de larga escala visando alcançar uma missão global. Cada sistema constituinte possui seus próprios objetivos, missões individuais, e colaboram para a realização da missão do SoS, chamada missão global. Existe uma complexidade inerente no conjunto de missões que estão envolvidas em um SoS, esse deve-se principalmente à natureza independente dos sistemas constituintes, que tendem a evoluir independentemente, potencialmente mantidos por organizações distintas, além dos conflitos de interesse que podem surgir com essa evolução. Com isso, torna-se essencial prover uma linguagem bem definida para descrição e avaliação dessas missões, relacionando-as entre si e provendo um documento comum que possa ser utilizado por todas as partes envolvidas. Essa linguagem deve ser capaz de expressar as missões individuais e globais, dando suporte a todos os relacionamentos existentes entre essas missões, além de expressar informações relacionadas a realização dessas missões. O objetivo desse trabalho é apresentar e avaliar uma linguagem para descrição de missões. Visando a definição dessa linguagem, esse trabalho apresenta um mapeamento sistemático acerca dos mecanismos existentes para descrição de missões em SoS, identificando os elementos-chave que compõem a descrição de uma missão nesse contexto. A partir desse mapeamento, propõe-se um modelo conceitual para missões e uma linguagem para descrição de missões. Essa linguagem independe de documentos de arquitetura e outros tipos de modelos de software, visando possibilitar a integração da linguagem de definição de missões em diferentes modelos de desenvolvimento.

Les lauriers sont coupés: a exibição do pensamento e da linguagem

Ce travail a comme point de départ l’oeuvre Les lauriers sont coupés, de l’écrivain Edouard Dujardin. Le livre, écrit en 1887, n’est devenu connu qu’en 1924, lorsque James Joyce a déclaré s’inspirer de cette œuvre pour écrire le monologue de Molly Bloom, personnage d’Ulysse, en utilisant une technique nommée monologue intérieur, qu’aucun écrivain n’avait jusqu’alors utilisée. Dujardin s’est proposé d’écrire un livre où le personnage dévoile sa pensée avant même de subir une quelconque censure. Ecrit à la fin du siècle, Les lauriers sont coupés présente des caractéristiques du symbolisme: la synesthésie, la musicalité, le jeu de mots et la subtitution du sentiment, propre aux romantiques, par les sens. Pour une génération d’écrivains ayant vécu à Paris à la fin du siècle, la métaphore est remplacée par la métonymie. Dans ce sens, notre auteur se trouve inséré dans son temps, c’est-à-dire, à la fin du XIXe siècle, subissant l’influence de Mallarmé et de Wagner dans l’écriture de son oeuvre. A Canção dos Loureiros, titre de la traduction en portugais d’Élide Valarini (1989), de l’oeuvre Les lauriers sont coupés, a été analysée, en essayant à la fois d’identifier les éléments du Symbolisme et de montrer que l’auteur, en écrivant cette œuvre, suppose que le lecteur, partage la pensée du personnage principal en employant la technique du monologue intérieur. Outre cette analyse, nous faisons la traduction en portugais d’un essai de Dujardin, qui n’avait pas été traduit jusqu’à présent et où il a pu lui-même revoir son œuvre et où il explique comment il a eu l’idée de travailler la technique adoptée ainsi que la réception de cette œuvre auprès de ses contemporains.

Estudo sobre a relação entre a atividade geomagnética e cintilações de sinais de GPS em Natal-RN (Brasil)

To identify the relationship between GPS scintillation in Natal-RN (Brazil) and geomagnetic disturbances of any intensities and variations, this work made analysis of the ionospheric behavior and magnetic indexes (Dst , AE and Bz of the interplanetary magnetic field) concerning to different periods of the solar cycle between 2000 and 2014. Part of the data of this research originated at the UFRN observatory, from a GEC Plessey board connected to an ANP -C 114 antenna, modified by Cornell University’s Space group Plasma Physics in order to operate the ScintMon, a GPS monitoring program. This study, therefore, found several cases of inhibited scintillations after the main phase of magnetic storms, a fact that, along with others, corroborated with categorization of Aarons (1991) and models of disturbed dynamo (according to Bonelli, 2008) and over-shielding penetration, defended by Kelley et al. (1979) and Abdu (2011) [4]. In addition to these findings, different morphologies were noted in such disruptions in the GPS signal in accordance with previous magnetic activities. It also found a moderate relationship (R2 = 0.52) between the Dst rate (concerning to specific time) and the average of S4 through a polynomial function. This finding therefore, corroborating Ilma et al. (2012) [17], is an important evidence that the scintillation GPS are not directly controlled by magnetic induction of storms. Completing this work, this relation did show itself as a way of partial predicting of scintillations.

Algoritmo eficiente para aquisição de sinais de GPS por software

O NAVSTAR/GPS (NAVigation System with Timing And Ranging/Global Po- sitioning System), mais conhecido por GPS, _e um sistema de navegacão baseado em sat_elites desenvolvido pelo departamento de defesa norte-americano em meados de 1970. Criado inicialmente para fins militares, o GPS foi adaptado para o uso civil. Para fazer a localização, o receptor precisa fazer a aquisição de sinais dos satélites visíveis. Essa etapa é de extrema importância, pois é responsável pela detecção dos satélites visíveis, calculando suas respectivas frequências e fases iniciais. Esse processo pode demandar bastante tempo de processamento e precisa ser implementado de forma eficiente. Várias técnicas são utilizadas atualmente, mas a maioria delas colocam em conflito questões de projeto tais como, complexidade computacional, tempo de aquisição e recursos computacionais. Objetivando equilibrar essas questões, foi desenvolvido um método que reduz a complexidade do processo de aquisição utilizando algumas estratégias, a saber, redução do efeito doppler, amostras e tamanho do sinal utilizados, além do paralelismo. Essa estratégia é dividida em dois passos, um grosseiro em todo o espaço de busca e um fino apenas na região identificada previamente pela primeira etapa. Devido a busca grosseira, o limiar do algoritmo convencional não era mais aceitável. Nesse sentido, um novo limiar foi estabelecido baseado na variância dos picos de correlação. Inicialmente, é feita uma busca com pouca precisão comparando a variância dos cinco maiores picos de correlação encontrados. Caso a variância ultrapasse um certo limiar, a região de maior pico torna-se candidata à detecção. Por fim, essa região passa por um refinamento para se ter a certeza de detecção. Os resultados mostram que houve uma redução significativa na complexidade e no tempo de execução, sem que tenha sido necessário utilizar algoritmos muito complexos.

Uso de correntropia na generalização de funções cicloestacionárias e aplicações para a extração de características de sinais modulados

Information extraction is a frequent and relevant problem in digital signal processing. In the past few years, different methods have been utilized for the parameterization of signals and the achievement of efficient descriptors. When the signals possess statistical cyclostationary properties, the Cyclic Autocorrelation Function (CAF) and the Spectral Cyclic Density (SCD) can be used to extract second-order cyclostationary information. However, second-order cyclostationary information is poor in nongaussian signals, as the cyclostationary analysis in this case should comprise higher-order statistical information. This paper proposes a new mathematical tool for the higher-order cyclostationary analysis based on the correntropy function. Specifically, the cyclostationary analysis is revisited focusing on the information theory, while the Cyclic Correntropy Function (CCF) and Cyclic Correntropy Spectral Density (CCSD) are also defined. Besides, it is analytically proven that the CCF contains information regarding second- and higher-order cyclostationary moments, being a generalization of the CAF. The performance of the aforementioned new functions in the extraction of higher-order cyclostationary characteristics is analyzed in a wireless communication system where nongaussian noise exists.

A linguagem audiovisual do cinema como elemento integrador da arte e ciência na formação cultural dos professores de ciências e matemática

This work aims to study about the importance of cinema for cultural and professional training of teachers of Natural Sciences and Mathematics. The educational potential of cinema is emphasizing by different authors, which also reveal the teachers' training gap in this issue (media). In this study, we defend the audiovisual language of cinema as an integrating element of Arts and Science for cultural and professional training of teachers. This subject has been developed by different authors, in which the emphasis has been the importance of intelligent dialogue with the world. Specifically, the training of science teachers and mathematics, by the approach of Cinema in its formation, It envisions the possibility of minimizing the dichotomy between humanistic and scientific training, already much discussed by some researchers. Educational products contribute to an effective experience and reflection on the cultural and educational role of the Seventh Art. Considering the Cinema as a possible "bridge" between the two cultures (scientific culture and humanistic culture) and promoting ownership of audiovisual language in teacher training It was accomplished the I Exhibition - Cultural Spring: Cinema and Science Education in UFRN. The production of the booklet "Topics of History, Language and Art of Cinema for Science and Mathematics Teachers," and its application in a short course in the XXI National Symposium on Physics Teaching also aimed to contribute to the approximation of Science and Art in training teachers.

Remoção de ruídos sísmicos utilizando transformada de wavelet 1D e 2D com software em desenvolvimento

In the Hydrocarbon exploration activities, the great enigma is the location of the deposits. Great efforts are undertaken in an attempt to better identify them, locate them and at the same time, enhance cost-effectiveness relationship of extraction of oil. Seismic methods are the most widely used because they are indirect, i.e., probing the subsurface layers without invading them. Seismogram is the representation of the Earth s interior and its structures through a conveniently disposed arrangement of the data obtained by seismic reflection. A major problem in this representation is the intensity and variety of present noise in the seismogram, as the surface bearing noise that contaminates the relevant signals, and may mask the desired information, brought by waves scattered in deeper regions of the geological layers. It was developed a tool to suppress these noises based on wavelet transform 1D and 2D. The Java language program makes the separation of seismic images considering the directions (horizontal, vertical, mixed or local) and bands of wavelengths that form these images, using the Daubechies Wavelets, Auto-resolution and Tensor Product of wavelet bases. Besides, it was developed the option in a single image, using the tensor product of two-dimensional wavelets or one-wavelet tensor product by identities. In the latter case, we have the wavelet decomposition in a two dimensional signal in a single direction. This decomposition has allowed to lengthen a certain direction the two-dimensional Wavelets, correcting the effects of scales by applying Auto-resolutions. In other words, it has been improved the treatment of a seismic image using 1D wavelet and 2D wavelet at different stages of Auto-resolution. It was also implemented improvements in the display of images associated with breakdowns in each Auto-resolution, facilitating the choices of images with the signals of interest for image reconstruction without noise. The program was tested with real data and the results were good

Processamento Inteligente de Sinais de Pressão e Temperatura Adquiridos Através de Sensores Permanentes em Poços de Petróleo

Originally aimed at operational objectives, the continuous measurement of well bottomhole pressure and temperature, recorded by permanent downhole gauges (PDG), finds vast applicability in reservoir management. It contributes for the monitoring of well performance and makes it possible to estimate reservoir parameters on the long term. However, notwithstanding its unquestionable value, data from PDG is characterized by a large noise content. Moreover, the presence of outliers within valid signal measurements seems to be a major problem as well. In this work, the initial treatment of PDG signals is addressed, based on curve smoothing, self-organizing maps and the discrete wavelet transform. Additionally, a system based on the coupling of fuzzy clustering with feed-forward neural networks is proposed for transient detection. The obtained results were considered quite satisfactory for offshore wells and matched real requisites for utilization

Sistema inteligente para estimar a porosidade em sedimentos a partir da análise de sinais GPR

This Thesis presents the elaboration of a methodological propose for the development of an intelligent system, able to automatically achieve the effective porosity, in sedimentary layers, from a data bank built with information from the Ground Penetrating Radar GPR. The intelligent system was built to model the relation between the porosity (response variable) and the electromagnetic attribute from the GPR (explicative variables). Using it, the porosity was estimated using the artificial neural network (Multilayer Perceptron MLP) and the multiple linear regression. The data from the response variable and from the explicative variables were achieved in laboratory and in GPR surveys outlined in controlled sites, on site and in laboratory. The proposed intelligent system has the capacity of estimating the porosity from any available data bank, which has the same variables used in this Thesis. The architecture of the neural network used can be modified according to the existing necessity, adapting to the available data bank. The use of the multiple linear regression model allowed the identification and quantification of the influence (level of effect) from each explicative variable in the estimation of the porosity. The proposed methodology can revolutionize the use of the GPR, not only for the imaging of the sedimentary geometry and faces, but mainly for the automatically achievement of the porosity one of the most important parameters for the characterization of reservoir rocks (from petroleum or water)