70 resultados para híbrido


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Literary works are thought provokers that make it possible to access several forms to view the world and reality. They provide diversified points of view and infinite connections. In a particular way, among all the other forms of art expression literature is considered to be the closest to life, once it is able to reconnect all human dimensions emotional, rational, mystic, personal, universal, corporal, historic, mythical. This thesis aims at offering some reflections about the frontiers and bridges between science and literature aiming at understanding the complexity that guides them. It presents a new reading of Iracema novel: Ceará tale of José de Alencar from a meticulous incursion through new ways and natural spaces interwoven by Alencar. It tries to hear the echoes of this indianist novel in the university students today. In a broader context, it creates arguments that question the multiple threadsthat join science and literature so that a science of complexity arises distinguishing but not separating the innumerous narratives about the world. For this purpose, this thesis has as interlocutors: Antonio Candido, Charles P. Snow, Edgar Morin, Emilio Ciurana, Fritjof Capra, George Steiner, Ilya Prigogine, Isabelle Stengers, Roger Chartier, Roland Barthes. The plot presented here does not limit the novel to science, but makes it a rereading of the word, of life, once this is the raw material of books. As a methodological strategy, we rebuilt Iracema´s character trips in a way to update the novel, resulting in the video documentary Iracema ways: the arid and remote interior, the plateau, the sea. Iracema novel and character enhancing dialogs that allow the dichotomy rupture between two cultures (Charles P. Snow), recognizing they are not incommunicable and revealing the core argument of the thesis: Iracema belongs to a complex category. It is a hybrid novel that is far, far away from that bluish plateau in the horizon

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The thesis has its largest array in the reorganization of science that is built from the middle of the last century and its horizon reconnection between scientific culture and humanistic culture, and the dialogue between science, art and literature. This epistemological regeneration view of the scientific paradigm incorporates the poetic language and sociological analysis, and brings out a complex, open and transdisciplinary narrative. To undertake this exercise as interlocutors we have thinkers like Nietzsche, Lévi-Strauss, Edgar Morin and Bruno Latour, to name a few, and as a reference for analyzing the entire artistic production of one of the icons of Brazilian music, Clara Nunes. It is problematized up in this work, through the singer s discography, lyrics and fragments of her biography, the construction of a social character that politicized culture, increased the mestizo consciousness of popular imagery, and exceeded the excessively prosaic narratives of the academic and scientific culture. The central argument of the thesis recognizes a Hybrid Subject Clara Nunes, as indeed is what is expected of the politically engaged intellectual in the 21st century

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La investigación parte de una visión histórica de la muñeca Emília creación del escritor Monteiro Lobato , relacionándola con la educación en cuanto pedagogía performática. Utiliza aportes teóricos de Renato Cohen, investigador brasileño del lenguaje performático, como también del pensador y pedagogo alemán Nietzsche, aplicándolos a las obras Emília en el país de la Gramática, Aritmética de Emília y La llave del tamaño. Muestra que lo performático tiene sus orígenes más remotos en el mito de Dioniso y que, a semejanza del arte performática, propuesta como arte de frontera, la pedagogía performática se constituye también como una pedagogía de frontera, en vista de lo híbrido pedagogía-y-arte en que es fundado, colocándose igualmente en el espacio de las pedagogías culturales o no formales. Dentro del concepto de pedagogía performática, llegamos a la construcción de un pequeño sistema pedagógico que subraya tanto lo existencial cuanto lo científico. La pedagogía performática representada por la muñeca Emília contesta a la condición bidimensional del ser humano: razón y sensibilidad. Por hacer mediante una alianza con el arte en este caso, la literatura -, es más sugestiva que prescritiva; está apta a colaborar para el surgimiento de un paradigma pedagógico no-centrado en la hegemonía de lo racional; tiene um carácter atemporal y universal, pudiendo ser aplicada en todos los niveles de enseñanza, no se ha restringido, sin embargo, al espacio escolar

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The thesis has as object of study the autobiographical memmorials. The general objective is to describe the history of the memmorial as an academic tradition of higher education in Brazil. Considered a hybrid genre, memmorials are known for focusing on life stories from a scientific perspective. The investigation revolves around three intertwined branches: History of Education, educational practices and language usages, which allow us to conduct a dialogue with multiple theoretical-methodological references with a view to supporting our analyses. The corpus used for the analysis was made up of 40 autobiographical memmorials, distributed as follows: 16 academic memmorials, dated from 1935 to 1970; 07 academic memmorials, dated from 1980 to 2007; and 17 formation memmorials, dated from 1995 to 2000. In this corpus, we also included official documents, which relate to legislation contained in edicts, resolutions, ordinances, regulations, which we used with a view to: 1) getting to know and understanding the big picture of higher education regulation in Brazil and the aspects related to the higher education teaching career; 2) investigating the text of memmorials in the light of the injunctive discourse characteristic of the edicts and resolutions in which they were based. The analysis of the memmorial supported by the legislation which regulates it allowed us to reconstitute the image of the professor throughout 80 years in the Brazilian public university. For this purpose, the study was conducted in the theoretical-methodological perspective of the (auto)biographical research in Education and of the sociolinguistic studies on discourse genres and discursive traditions. The investigations reveal the memmorial as an academic genre in which the professor's academic-professional history and the history of the higher education teaching career in Brazil intertwine. Anchored in the Bakhtinian perspective on discourse genres, according to which the memmorials evolve and become more complex as their contexts of usage also evolve and become more complex themselves, the results of our analyses allowed us to correlate genre changes to the sociohistorical context and to its usage as an educational practice in the university, in the decades under study. Therefore, the analyses showed that these self-writings: go from latent subjectivity to pure objectivity from the 1930s to 1960s; they show total annulment of the subject from the 1960s to the 1970s; they reappear in the 1980s, having Professor Magda Soares' memmorial as perspective; they expand and diversify from the 1990s onwards, taking on a formative role and a perspective of future as well. So far as language usages are concerned, we investigated the relationship of the subject with the language, especifically the manifestation of alterity on the discursive tissue of the memmorials. In this branch, the analyses pointed to the influence of the authoritative discourse on the formation of the professor and of the injunction and reinventing discourses on the authorship process. Therefore, the autobiographical memmorial reveals itself as a specific expression of the Brazilian academy's cultural sphere and allows us to confirm the hypothesis that each memorial tackles a singular-plural situation, by presenting a dialectical articulation between private and public, according to the institutional structures, in which and with which the professor has already formed him/herself and with which he/she dialogues

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Esta disertación explora de qué forma las hibridaciones entre ser humano y ambientes naturales no urbanos contribuyen a configurar las estrategias de atención, de construcción de conocimiento y de interacción con el mundo del sujeto y cómo, recursivamente, las actitudes perceptivo-cognitivas y las maneras de acercarse a lo real, de imputar sentido a los fenómenos y de interactuar con el ambiente practicadas por el sujeto condicionan y contribuyen a definir las hibridaciones entre humanos y no humanos. Lo que guía esa exploración es el concepto de híbrido que, inspirándome en Bruno Latour (2008), concibo como una asociación entre elementos sin características inherentes, compenetrados, que se redefinen, recrean e reconfiguran recíprocamente. Utilizo como operadores cognitivos una narrativa literaria y una cinematográfica: el libro autobiográfico Dersu Uzala del escritor y explorador ruso Vladimir Klavdievich Arseniev (1872-1930), publicado por primera vez en 1923, y la película homónima del director japonés Akira Kurosawa (1910-1998), lanzada en 1975. Estas obras reconstruyen tres expediciones realizadas por Arseniev a principios del siglo XX en la región siberiana del Ussuri que tuvieron como guía al cazador nómada de etnia gold Dersu Uzala, con quien el escritor construyó una profunda amistad. La elección de hacer dialogar en el mismo plan a dos modos complementares de conocimiento, arte y ciencia, se fundamenta en la concepción de Edgar Morin (2003b) de la literatura y el cine como escuelas de vida y de complejidad humana y en la visión de Claude Lévi- Strauss (2007) del arte como modelo reducido que favorece una mirada más abarcadora sobre los fenómenos. Inicialmente, pongo en relación mi investigación con los trabajos de Silmara Lídia Marton (2008) y Samir Cristino de Souza (2009), que analizaron las estrategias de construcción de conocimiento y de interacción con el mundo de un habitante de la Laguna de Piató (Municipio de Assú, Estado de Rio Grande do Norte, Brasil), Francisco Lucas da Silva, y muestro algunas analogías entre estas y las de Dersu Uzala, ambas productos de determinadas hibridaciones con el ambiente. A continuación, exploro las implicaciones cognitivas de la amistad de Arseniev con el cazador gold, metáfora/encarnación del diálogo posible entre saberes de matrices diferentes. En un tercer momento, dialogando con pensadores que se interrogaron sobre el trinomio hombre-naturaleza-representaciones y con las narrativas de Arseniev (1997) y Kurosawa (1975), reflexiono sobre las ideas de híbrido, de humano y no humano, de vivo y no vivo, de proximidad y distancia del sujeto con respecto a otros sistemas de lectura del mundo, de relación directa y mediada con lo real, de ambientes naturales urbanos y no urbanos. A seguir, incursiono en el libro de Arseniev y en el largometraje de Kurosawa intentando identificar qué factores más contribuyeron para configurar las estrategias de conocimiento y de interacción con el ambiente manifestadas por el explorador y por el cazador gold y, recursivamente, de qué forma esas estrategias contribuyeron a definir sus hibridaciones con el ambiente siberiano. Por último, a partir de las reflexiones tejidas a lo largo del trabajo, me interrogo sobre lo que ellas pueden decirnos sobre nuestra forma de interactuar con la naturaleza no humana y sobre el diálogo entre distintas formas de percibir, conocer y relacionarse con el mundo

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The Combinatorial Optimization is a basic area to companies who look for competitive advantages in the diverse productive sectors and the Assimetric Travelling Salesman Problem, which one classifies as one of the most important problems of this area, for being a problem of the NP-hard class and for possessing diverse practical applications, has increased interest of researchers in the development of metaheuristics each more efficient to assist in its resolution, as it is the case of Memetic Algorithms, which is a evolutionary algorithms that it is used of the genetic operation in combination with a local search procedure. This work explores the technique of Viral Infection in one Memetic Algorithms where the infection substitutes the mutation operator for obtaining a fast evolution or extinguishing of species (KANOH et al, 1996) providing a form of acceleration and improvement of the solution . For this it developed four variants of Viral Infection applied in the Memetic Algorithms for resolution of the Assimetric Travelling Salesman Problem where the agent and the virus pass for a symbiosis process which favored the attainment of a hybrid evolutionary algorithms and computational viable

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The objective of this thesis is proposes a method for a mobile robot to build a hybrid map of an indoor, semi-structured environment. The topological part of this map deals with spatial relationships among rooms and corridors. It is a topology-based map, where the edges of the graph are rooms or corridors, and each link between two distinct edges represents a door. The metric part of the map consists in a set of parameters. These parameters describe a geometric figure which adapts to the free space of the local environment. This figure is calculated by a set of points which sample the boundaries of the local free space. These points are obtained with range sensors and with knowledge about the robot s pose. A method based on generalized Hough transform is applied to this set of points in order to obtain the geomtric figure. The building of the hybrid map is an incremental procedure. It is accomplished while the robot explores the environment. Each room is associated with a metric local map and, consequently, with an edge of the topo-logical map. During the mapping procedure, the robot may use recent metric information of the environment to improve its global or relative pose

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Techniques of optimization known as metaheuristics have achieved success in the resolution of many problems classified as NP-Hard. These methods use non deterministic approaches that reach very good solutions which, however, don t guarantee the determination of the global optimum. Beyond the inherent difficulties related to the complexity that characterizes the optimization problems, the metaheuristics still face the dilemma of xploration/exploitation, which consists of choosing between a greedy search and a wider exploration of the solution space. A way to guide such algorithms during the searching of better solutions is supplying them with more knowledge of the problem through the use of a intelligent agent, able to recognize promising regions and also identify when they should diversify the direction of the search. This way, this work proposes the use of Reinforcement Learning technique - Q-learning Algorithm - as exploration/exploitation strategy for the metaheuristics GRASP (Greedy Randomized Adaptive Search Procedure) and Genetic Algorithm. The GRASP metaheuristic uses Q-learning instead of the traditional greedy-random algorithm in the construction phase. This replacement has the purpose of improving the quality of the initial solutions that are used in the local search phase of the GRASP, and also provides for the metaheuristic an adaptive memory mechanism that allows the reuse of good previous decisions and also avoids the repetition of bad decisions. In the Genetic Algorithm, the Q-learning algorithm was used to generate an initial population of high fitness, and after a determined number of generations, where the rate of diversity of the population is less than a certain limit L, it also was applied to supply one of the parents to be used in the genetic crossover operator. Another significant change in the hybrid genetic algorithm is the proposal of a mutually interactive cooperation process between the genetic operators and the Q-learning algorithm. In this interactive/cooperative process, the Q-learning algorithm receives an additional update in the matrix of Q-values based on the current best solution of the Genetic Algorithm. The computational experiments presented in this thesis compares the results obtained with the implementation of traditional versions of GRASP metaheuristic and Genetic Algorithm, with those obtained using the proposed hybrid methods. Both algorithms had been applied successfully to the symmetrical Traveling Salesman Problem, which was modeled as a Markov decision process

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This thesis proposes the specification and performance analysis of a real-time communication mechanism for IEEE 802.11/11e standard. This approach is called Group Sequential Communication (GSC). The GSC has a better performance for dealing with small data packets when compared to the HCCA mechanism by adopting a decentralized medium access control using a publish/subscribe communication scheme. The main objective of the thesis is the HCCA overhead reduction of the Polling, ACK and QoS Null frames exchanged between the Hybrid Coordinator and the polled stations. The GSC eliminates the polling scheme used by HCCA scheduling algorithm by using a Virtual Token Passing procedure among members of the real-time group to whom a high-priority and sequential access to communication medium is granted. In order to improve the reliability of the mechanism proposed into a noisy channel, it is presented an error recovery scheme called second chance algorithm. This scheme is based on block acknowledgment strategy where there is a possibility of retransmitting when missing real-time messages. Thus, the GSC mechanism maintains the real-time traffic across many IEEE 802.11/11e devices, optimized bandwidth usage and minimal delay variation for data packets in the wireless network. For validation purpose of the communication scheme, the GSC and HCCA mechanisms have been implemented in network simulation software developed in C/C++ and their performance results were compared. The experiments show the efficiency of the GSC mechanism, especially in industrial communication scenarios.

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This study presents a description of the development model of a representation of simplified grid applied in hybrid load flow for calculation of the voltage variations in a steady-state caused by the wind farm on power system. Also, it proposes an optimal load-flow able to control power factor on connection bar and to minimize the loss. The analysis process on system, led by the wind producer, it has as base given technician supplied by the grid. So, the propose model to the simplification of the grid that allows the necessity of some knowledge only about the data referring the internal network, that is, the part of the network that interests in the analysis. In this way, it is intended to supply forms for the auxiliary in the systematization of the relations between the sector agents. The model for simplified network proposed identifies the internal network, external network and the buses of boulders from a study of vulnerability of the network, attributing them floating liquid powers attributing slack models. It was opted to apply the presented model in Newton-Raphson and a hybrid load flow, composed by The Gauss-Seidel method Zbarra and Summation Power. Finally, presents the results obtained to a developed computational environment of SCILAB and FORTRAN, with their respective analysis and conclusion, comparing them with the ANAREDE

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The goal of this work is to propose a SLAM (Simultaneous Localization and Mapping) solution based on Extended Kalman Filter (EKF) in order to make possible a robot navigates along the environment using information from odometry and pre-existing lines on the floor. Initially, a segmentation step is necessary to classify parts of the image in floor or non floor . Then the image processing identifies floor lines and the parameters of these lines are mapped to world using a homography matrix. Finally, the identified lines are used in SLAM as landmarks in order to build a feature map. In parallel, using the corrected robot pose, the uncertainty about the pose and also the part non floor of the image, it is possible to build an occupancy grid map and generate a metric map with the obstacle s description. A greater autonomy for the robot is attained by using the two types of obtained map (the metric map and the features map). Thus, it is possible to run path planning tasks in parallel with localization and mapping. Practical results are presented to validate the proposal

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This work develops a robustness analysis with respect to the modeling errors, being applied to the strategies of indirect control using Artificial Neural Networks - ANN s, belong to the multilayer feedforward perceptron class with on-line training based on gradient method (backpropagation). The presented schemes are called Indirect Hybrid Control and Indirect Neural Control. They are presented two Robustness Theorems, being one for each proposed indirect control scheme, which allow the computation of the maximum steady-state control error that will occur due to the modeling error what is caused by the neural identifier, either for the closed loop configuration having a conventional controller - Indirect Hybrid Control, or for the closed loop configuration having a neural controller - Indirect Neural Control. Considering that the robustness analysis is restrict only to the steady-state plant behavior, this work also includes a stability analysis transcription that is suitable for multilayer perceptron class of ANN s trained with backpropagation algorithm, to assure the convergence and stability of the used neural systems. By other side, the boundness of the initial transient behavior is assured by the assumption that the plant is BIBO (Bounded Input, Bounded Output) stable. The Robustness Theorems were tested on the proposed indirect control strategies, while applied to regulation control of simulated examples using nonlinear plants, and its results are presented

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In this work, we present a hardware-software architecture for controlling the autonomous mobile robot Kapeck. The hardware of the robot is composed of a set of sensors and actuators organized in a CAN bus. Two embedded computers and eigth microcontroller based boards are used in the system. One of the computers hosts the vision system, due to the significant processing needs of this kind of system. The other computer is used to coordinate and access the CAN bus and to accomplish the other activities of the robot. The microcontroller-based boards are used with the sensors and actuators. The robot has this distributed configuration in order to exhibit a good real-time behavior, where the response time and the temporal predictability of the system is important. We adopted the hybrid deliberative-reactive paradigm in the proposed architecture to conciliate the reactive behavior of the sensors-actuators net and the deliberative activities required to accomplish more complex tasks

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We revisit the problem of visibility, which is to determine a set of primitives potentially visible in a set of geometry data represented by a data structure, such as a mesh of polygons or triangles, we propose a solution for speeding up the three-dimensional visualization processing in applications. We introduce a lean structure , in the sense of data abstraction and reduction, which can be used for online and interactive applications. The visibility problem is especially important in 3D visualization of scenes represented by large volumes of data, when it is not worthwhile keeping all polygons of the scene in memory. This implies a greater time spent in the rendering, or is even impossible to keep them all in huge volumes of data. In these cases, given a position and a direction of view, the main objective is to determine and load a minimum ammount of primitives (polygons) in the scene, to accelerate the rendering step. For this purpose, our algorithm performs cutting primitives (culling) using a hybrid paradigm based on three known techniques. The scene is divided into a cell grid, for each cell we associate the primitives that belong to them, and finally determined the set of primitives potentially visible. The novelty is the use of triangulation Ja 1 to create the subdivision grid. We chose this structure because of its relevant characteristics of adaptivity and algebrism (ease of calculations). The results show a substantial improvement over traditional methods when applied separately. The method introduced in this work can be used in devices with low or no dedicated processing power CPU, and also can be used to view data via the Internet, such as virtual museums applications

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Wireless sensors and actuators Networks specified by IEEE 802.15.4, are becoming increasingly being applied to instrumentation, as in instrumentation of oil wells with completion Plunger Lift type. Due to specific characteristics of the environment being installed, it s find the risk of compromising network security, and presenting several attack scenarios and the potential damage from them. It`s found the need for a more detailed security study of these networks, which calls for use of encryption algorithms, like AES-128 bits and RC6. So then it was implement the algorithms RC6 and AES-128, in an 8 bits microcontroller, and study its performance characteristics, critical for embedded applications. From these results it was developed a Hybrid Algorithm Cryptographic, ACH, which showed intermediate characteristics between the AES and RC6, more appropriate for use in applications with limitations of power consumption and memory. Also was present a comparative study of quality of security among the three algorithms, proving ACH cryptographic capability.