872 resultados para Ruído Coerente


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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

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ln this work the implementation of the SOM (Self Organizing Maps) algorithm or Kohonen neural network is presented in the form of hierarchical structures, applied to the compression of images. The main objective of this approach is to develop an Hierarchical SOM algorithm with static structure and another one with dynamic structure to generate codebooks (books of codes) in the process of the image Vector Quantization (VQ), reducing the time of processing and obtaining a good rate of compression of images with a minimum degradation of the quality in relation to the original image. Both self-organizing neural networks developed here, were denominated HSOM, for static case, and DHSOM, for the dynamic case. ln the first form, the hierarchical structure is previously defined and in the later this structure grows in an automatic way in agreement with heuristic rules that explore the data of the training group without use of external parameters. For the network, the heuristic mIes determine the dynamics of growth, the pruning of ramifications criteria, the flexibility and the size of children maps. The LBO (Linde-Buzo-Oray) algorithm or K-means, one ofthe more used algorithms to develop codebook for Vector Quantization, was used together with the algorithm of Kohonen in its basic form, that is, not hierarchical, as a reference to compare the performance of the algorithms here proposed. A performance analysis between the two hierarchical structures is also accomplished in this work. The efficiency of the proposed processing is verified by the reduction in the complexity computational compared to the traditional algorithms, as well as, through the quantitative analysis of the images reconstructed in function of the parameters: (PSNR) peak signal-to-noise ratio and (MSE) medium squared error

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This work is the analysis of a structure of the microstrip antenna designed for application in ultra wide band systems (Ultra Wideband - UWB). This is a prospective analytical study where they tested the changes in the geometry of the antenna, observing their suitability to the proposed objectives. It is known that the UWB antenna must operate in a range of at least 500 MHz, and answer a fractional bandwidth greater than or equal to 25%. It is also desirable that the antenna meets the specifications of track determined by FCC - Federal Communication Commission, which regulates the system in 2002 designating the UWB bandwidth of 7.5 GHz, a range that varies from 3.1 GHz to 10, 6 GHz. by setting the maximum power spectral density of operation in -41.3 dB / MHz, and defining the fractional bandwidth by 20%. The study starts of a structure of geometry in the form of stylized @, which evolves through changes in its form, in simulated commercial software CST MICROWAVE STUDIO, version 5.3.1, and then tested using the ANSOFT HFSS, version 9. These variations, based on observations of publications available from literature referring to the microstrip monopole planar antennas. As a result it is proposed an antenna, called Monopole Antenna Planar Spiral Almost Rectangular for applications in UWB systems - AMQEUWB, which presents simulated and measured results satisfactory, consistent with the objectives of the study. Some proposals for future work are mentioned

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This work presents simulation results of an identification platform compatible with the INPE Brazilian Data Collection System, modeled with SystemC-AMS. SystemC-AMS that is a library of C++ classes dedicated to the simulation of heterogeneous systems, offering a powerful resource to describe models in digital, analog and RF domains, as well as mechanical and optic. The designed model was divided in four parts. The first block takes into account the satellite s orbit, necessary to correctly model the propagation channel, including Doppler effect, attenuation and thermal noise. The identification block detects the satellite presence. It is composed by low noise amplifier, band pass filter, power detector and logic comparator. The controller block is responsible for enabling the RF transmitter when the presence of the satellite is detected. The controller was modeled as a Petri net, due to the asynchronous nature of the system. The fourth block is the RF transmitter unit, which performs the modulation of the information in BPSK ±60o. This block is composed by oscillator, mixer, adder and amplifier. The whole system was simulated simultaneously. The results are being used to specify system components and to elaborate testbenchs for design verification

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This work presents an wideband ring VCO for cognitive radio five-port based receivers. A three-stage differential topology using transmission gate was adopted in order to maintain wide and linear tuning range and a low phase-noise. Monte-Carlo analysis were performed for phase-shift response of individual stages, which is an important figure of merit in five-port works. It was observed a fairly linear correlation between control voltage and oscillation frequency in the range between 200 MHz and 1800 MHz. The VCO was preliminarily designed for IBM 130nm CMOS technology

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Modern wireless systems employ adaptive techniques to provide high throughput while observing desired coverage, Quality of Service (QoS) and capacity. An alternative to further enhance data rate is to apply cognitive radio concepts, where a system is able to exploit unused spectrum on existing licensed bands by sensing the spectrum and opportunistically access unused portions. Techniques like Automatic Modulation Classification (AMC) could help or be vital for such scenarios. Usually, AMC implementations rely on some form of signal pre-processing, which may introduce a high computational cost or make assumptions about the received signal which may not hold (e.g. Gaussianity of noise). This work proposes a new method to perform AMC which uses a similarity measure from the Information Theoretic Learning (ITL) framework, known as correntropy coefficient. It is capable of extracting similarity measurements over a pair of random processes using higher order statistics, yielding in better similarity estimations than by using e.g. correlation coefficient. Experiments carried out by means of computer simulation show that the technique proposed in this paper presents a high rate success in classification of digital modulation, even in the presence of additive white gaussian noise (AWGN)

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The increasing demand for high performance wireless communication systems has shown the inefficiency of the current model of fixed allocation of the radio spectrum. In this context, cognitive radio appears as a more efficient alternative, by providing opportunistic spectrum access, with the maximum bandwidth possible. To ensure these requirements, it is necessary that the transmitter identify opportunities for transmission and the receiver recognizes the parameters defined for the communication signal. The techniques that use cyclostationary analysis can be applied to problems in either spectrum sensing and modulation classification, even in low signal-to-noise ratio (SNR) environments. However, despite the robustness, one of the main disadvantages of cyclostationarity is the high computational cost for calculating its functions. This work proposes efficient architectures for obtaining cyclostationary features to be employed in either spectrum sensing and automatic modulation classification (AMC). In the context of spectrum sensing, a parallelized algorithm for extracting cyclostationary features of communication signals is presented. The performance of this features extractor parallelization is evaluated by speedup and parallel eficiency metrics. The architecture for spectrum sensing is analyzed for several configuration of false alarm probability, SNR levels and observation time for BPSK and QPSK modulations. In the context of AMC, the reduced alpha-profile is proposed as as a cyclostationary signature calculated for a reduced cyclic frequencies set. This signature is validated by a modulation classification architecture based on pattern matching. The architecture for AMC is investigated for correct classification rates of AM, BPSK, QPSK, MSK and FSK modulations, considering several scenarios of observation length and SNR levels. The numerical results of performance obtained in this work show the eficiency of the proposed architectures

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Oil spill on the sea, accidental or not, generates enormous negative consequences for the affected area. The damages are ambient and economic, mainly with the proximity of these spots of preservation areas and/or coastal zones. The development of automatic techniques for identification of oil spots on the sea surface, captured through Radar images, assist in a complete monitoring of the oceans and seas. However spots of different origins can be visualized in this type of imaging, which is a very difficult task. The system proposed in this work, based on techniques of digital image processing and artificial neural network, has the objective to identify the analyzed spot and to discern between oil and other generating phenomena of spot. Tests in functional blocks that compose the proposed system allow the implementation of different algorithms, as well as its detailed and prompt analysis. The algorithms of digital image processing (speckle filtering and gradient), as well as classifier algorithms (Multilayer Perceptron, Radial Basis Function, Support Vector Machine and Committe Machine) are presented and commented.The final performance of the system, with different kind of classifiers, is presented by ROC curve. The true positive rates are considered agreed with the literature about oil slick detection through SAR images presents

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In this study, binary perovskite (BaCexO3) were doped with praseodymium (Pr) to obtainment of the ternary material BaCexPr1-xO3. This material was synthesized by the complexation method combining EDTA/Citrate with the stoichiometric ratio of the element Praseodymium ranging from x = 0.1 to x = 0.9 in order to determine the influence of this rare earth element on the morphology and microstructure of the final powder. At first the material was synthesized based on the route proposed by literature (Santos, 2010), and then characterized by SEM and XRD, besides being refined by the Rietveld method. In the material that had lowest residual parameter, S, and lowest average size of crystal, pH variation of synthesis solution was made in order to identify the influence of this parameter on the morphology and microscopy of the final powder. The results show that addition of praseodymium did not directly influence the crystallographic and lattice parameters, keeping even the same orthorhombic structure of the binary material BaCexO3, according to Yamanaka et al (2003). Material type BaCe0,2Pr0,8O3 had lowest residual parameter (S=1.4) and lowest average size of crystallite (26.4 nm), being used as reference in the pH variation of synthesis solution for 9, 7, 5 and 3, respectively. Variation of this parameter showed that when the synthesis solution pH was decreased to below 11, there was an increase in the average size of crystals, for pH 9, about 58.3%, for pH 7 (30.3 %), for pH 2 (2.3%) and for pH 3 (42%), indicating that the value initially used and quoted by Santos (2010) was the most coherent

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

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It is possible to notice that the modern narrative increasingly seeks to invest its characters with a broad and complex nature, away from the well-defined beings of the traditional narrative. Through this work, we aim to make a study of Marcela, a character of the novel A ostra e o vento, by Moacir Costa Lopes, taking into account the way the complexity of the fictitious being is constituted through an analysis of structural, semantic, and thematic elements. We first will bring up a brief theoretical discussion about the character in a novel, and we also will carefully analyze the diagetic universe, presenting the complex path of the character further. Subsequently, we will focus on the structure of the narrative which creates a complex picture of the character, using the technique of crossed points of view as well as the technique of temporal fragmentation. Finally, we will investigate conflicting social relations that portray Marcela s disturbed inner side, as well as the metaphoric symbolic language, which furnishes a number of different representation of this character, impeding the creation of a well-structured coherent character. Studies of scholars such as Antonio Candido, Anatol Rosenfeld, Vitor Manuel de Aguiar e Silva, Fernando Segolin, Gerard Genette, Michel Zéraffa, among others, will guide our analysis

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Focusing on the empirical assessment issue, proposed by Language change theory (cf. cf. WEINREICH; LABOV; HERZOG, 2006; LABOV, [1972] 2008), this research assists to clarifying Portuguese teacher s attitudes in Natal- RN, regarding (a) to proclisis in three specific contexts: in the beginning of a simple/compound sentence (V1), after the subjects (SV), and proclisis after the secondary verb in complex verbal structures (V1V2); (b) to students who use such patterns in usage. Specific contexts were gathered thanks to their representing of the standard variety, as many studies have proven (Martins, 2012; Schei, 2003; Biazzoli, 2010, 2012). The research aims at: (i) verifying by means of a classroom assessment test, whether Portuguese teachers correct proclisis on referred contexts; (ii) identifying, via attitudinal tests what actions teachers take regarding to the usage of standards above mentioned, as well as students as users of those. Twenty Portuguese teachers, picked at random out of different of public schools in Natal-RN, responded to a classroom assessment test in addition to other two attitudinal ones. Results achieved point to a recurring high proclisis correction index of 50% in simple/compound sentences, even though such variety has been implemented to pronominal usage standards in Brazilian Portuguese. This setting of usage was generally assessed negatively, having no commonality between this assessment and the neutral one used by students. Unlike previous setting, the proclisis after subject did not receive any correction of the twenty teachers, what proves coherence with the positive evaluation both the varieties and the students attained. As for the second verb of complex verbal structures, proclisis correction went negative on presenting single results, despite their proximity, with correction indexes of 20% (infinite structures), 10% (present progressive structures) and 25% (participle structures). The assessment on these contexts of proclisis ranged between positive and neutral, also valid for the one students utilized. It means that proclisis in the beginning of simple/compound sentences are yet seemingly spotted in writing school scenario, much likely due to the negative evaluation, opposite to students . Later to subjects and earlier to secondary verbs in structures, proclisis appears to be acknowledged in writing school scenarios, which reflects on teachers assessment as compared to students who use proclisis in these contexts; being in general either positive or neutral

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La valeur évocative, magique ou my(s)thique attribuée à la relation homme/animal peut être observée dans la culture depuis les époques lointaines. Dans la symbologie animale on trouve une immense charge sémantique justifiant les croyances les plus anciennes que les êtres humains ont déjà eues. Les animaux sont à la base du symbolisme mythique et ils se constituent en tant qu une source pour la riche production artistique englobant une grande variété iconographique et des textes de nature diverse. Ayant comme référence de la symbologie animal l image my(s)thique du chat, on observe la façon par laquelle le langage poétique contemple les profils mythiquesymboliques qui ont un rapport avec ce langage, tout en mettant en relief ceux qui ont des rapports aux relations entre le monde humain et le félin. À partir de l antologie tématique Assinar a pele ; des concepts théoriques ; et des abordages mitocritiques, nous cherchons à analyser les façons par lesquelles les différentes images mythiques associées au chat ont été explorées par la poésie. La définition d une typologie englobant des catégories telles : chat domestique, chat de rue, chat femme, chat nocturne, chat démoniaque et chat divin, parmi d autres, soutient la reconnaissance d identités possibles entre ces poèmes et signale la répétition d un répertoire symbolique divers en soi, mais, cohérent avec la présence du chat dans la société humaine à travers les temps

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This work s objective is to make a literal interpretation of Kant s Aesthetic transcendental, the first pilaster of sustentation of the epistemology of Kant and to interpret it at Strawson s light. It contains the doctrine of sensitivity responsible for the intuitions, which rests on the concepts of space and time, and, with this, the tematização of two important questions. For Kant s philosophy in its epistemologic source what s the importance of the concepts of and time? How these concepts of space and time inscribe themselves with such statute as an investigatory task of metaphysics? The specification of the concepts of space and time as ingredients of the theories treated and enrolled in this work are segmented of the Aesthetic transcendental of Kant, and interpreted under Strawson s light. The research is divided in two chapter; first, constituted of two parts, the first part presents an introduction to the Aesthetic transcendental of Kant, to show the doctrine of the sensitivity which is part of with its forms space and time, authentic forms of the intuition. The second chapter, is constituted of four parts, that deal with the interpretation of the austere model of Strawson and related with Kant s transcendental Aesthetic. The conclusion of our work, about the declared objection of Strawson in its austere interpretation that refuses the idea of space and time, even keeping its a priori character, cannot be accepted. The apriority, the intuitivity and the ideality are theories non-separable in a coherent boarding of space and time of Kant s model of epistemology

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior