22 resultados para Nonnegative sine polynomial

em Universidade Federal do Rio Grande do Norte(UFRN)


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Mimosa caesalpiniaefolia Benth. is a forest species of the Mimosaceae family, recommended for recovery of degraded areas. The evaluation of vigor by biochemical tests have been an important tool in the control of seed quality programs, and the electrical conductivity and potassium leaching the most efficient in the verifying the physiological potential. The objective, therefore, to adjust the methodology of the electrical conductivity test for seeds of M. caesalpiniaefolia, for then compare the efficiency of this test with the potassium in the evaluation of seed vigor of different lots of seeds M. caesalpiniaefolia. To test the adequacy of the electrical conductivity were used different combinations of temperatures , 25 °C and 30 ºC, number of seeds , 25 and 50, periods of imbibition , 4 , 8 , 12 , 16 and 24 hours , and volumes deionized water, 50 mL and 75mL. For potassium leaching test, which was conducted from the results achieved by the methodology of the adequacy of the electrical conductivity test, to compare the efficiency of both tests , in the classification of seeds at different levels of vigor, and the period 4 hours also evaluated because the potassium leaching test can be more efficient in the shortest time . The best combination obtained in experiment of electrical conductivity is 25 seeds soaked in 50 mL deionized or distilled water for 8 hours at a temperature of 30 ° C. Data were subjected to analysis of variance, the means were compared with each other by F tests and Tukey at 5 % probability, and when necessary polynomial regression analysis was performed. The electrical conductivity test performed at period eight hour proved to be more efficient in the separation of seed lots M. caesalpiniaefolia at different levels of vigor compared to the potassium test

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En la interface de las Ciencias Sociales y de la Comunicación, la tesis expone una discusión sobre la Comunicación Social como área de conocimiento y discute las bases fenomenológicas de la producción de significado utilitario sobre el mundo. Para dar cuenta de esa reflexión se tiene como referencia la película Slumdog Millionaire? del director Danny Boyle. La experiencia vivida por el personaje principal llamado Jamal Malik sirve de apoyo a su éxito en un programa de TV cuyos desafíos consigue vencer uno a uno y transformarse en un millonario. El film, y en consecuencia la trayectoria de Jamal, es el operador cognitivo para que se presente la estrategia del personaje que transforma su conocimiento experimental en conocimiento pertinente, objetivo. La investigación sirve de base para ofrecer el argumento central de que solo existe conocimiento por medio de la experiencia vivida. A partir de esa concepción, la comunicación es vista en este ensayo como entrecruzamiento de caminos y nudos que se asemejan a un rizoma donde cada construcción de sentido, cada palabra que gana significación representa diversos enlaces de esos nudos sistémicos. Aseguramos que la comunicación es una condición sine qua non a los humanos y puede ser comprendida por la paradoja natural-artificial. Es de esta paradoja, que presentamos una contribución de la complejidad de la comunicación creyendo de forma dialógica que sí, hay una condición innata de la comunicación (y así mismo post humana) concomitantemente con la hipótesis de la artificialidad comunicacional. Corroboramos así, la idea de que el conocimiento fenomenológico de la comunicación es un juego de la construcción científica y, por lo tanto, un juego de la humanidad. En este mismo juego podemos comprender la comunicación por intermedio de algunos macro conceptos de la compleja actividad de comunicar (retroalimentación, recursividad y holograma) constelando así una estrategia de ligazón/estímulo/respuesta que nos permite conocer bien y saber organizar mejor el conocimiento adquirido en la práctica. La tesis tiene como interlocutores principales Claude Lévi-Strauss, Edgar Morin, Jean-Marie Pelt, Norval Baitello Junior y Vilém Flusser, entre otros

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

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This thesis talks about the use of guided educational tools in play and playful in public schools in the Metropolitan Region of Natal (MRN), contributing to the teaching and students learning of basic education in the contents of portuguese and mathematics. We assume that the play is an activity / human need and therefore implies the proper development of children in physical, psychological, biological, cultural, social and historical aspects. We consider the mediation exercised by the teacher in the classroom, and the affection existing between teacher and student, sine qua non terms, so that the truth and fact of the process of teaching and learning occur. Thus, theoretically collaborated Paulo Freire, with his dialogical vision; Lev S. Vygotsky says that we learn and why we develop; Lev S. Vygotsky that states that we learn and for that we develop ourselves; Pierre Bourdieu and the concept of habitus, as something embedded and therefore procedural, and the cultural capital that needs to be fed and (re)meaning at school; Luiz Pereira, Bernard Lahire, Gilles Brougère and others brought their theoretical contributions. The empirical field of research was composed by the Municipal School Professor Ulysses de Góis, located in the neighborhood of Nova Descoberta in Natal, and the Municipal School José Horacio de Góis, located in the community of Guanduba, in São Gonçalo do Amarante, municipalities of the Metropolitan Region of Natal (MRN). We used as methodology the collaborative-action-research as a possible of effective participation of the research subjects, imputing them a voice and performance in the process, and not considering them just observers. The results indicate the effectiveness of the pedagogical tools in play and playful to the learning of students, but that alone is not able to solve all the problems of the school, other referrals need to be secured, as the planning of the actions to be developed in the school and in the classroom, systematized pedagogical orienttion for faculty, family participation/involvement in the school life of students, among other actions that need to be weighted so that education fulfills its role and promote the emancipation of the subject, because in the freireana liberating perspective, "the reading of the world preced the lecture of the word"

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Brazilian law passes through a crisis of effectiveness commonly attributed to the extravagance of fundamental rights and public shortage. However, public finances are not dogmatically structured to solve the conflicts around the limitations of public spending. There are ethical conditioning factors, like morality, proportionality and impartiality, however, these principles act separately, while the problem of public shortage is holistic. Also, the subjectivity of politics discretionary in the definition of public spending, which is supported in an indeterminate concept of public interest, needs material orientation about the destination of public funds, making it vulnerable to ideological manipulation, resulting in real process of catching rights. Not even the judicial activism (such as influx of constitutionalism) is shown legally appropriate. The Reserve of Possible, also presents basic ethical failure. Understanding the formation of public shortage is therefore essential for understanding the crisis of effectiveness of state responsibilities, given the significant expansion of the state duty of protection, which does not find legal technique of defense of the established interests. The premise of argument, then, part of the possibility of deducting minimal model ethical of desire to spend (public interest) according to objective parameters of the normative system. Public spending has always been treated disdainfully by the Brazilian doctrine, according to the legal character accessory assigned to the monetary cost. Nonetheless, it is the meeting point between economics and law, or is in the marrow of the problem of public shortage. Expensive Subjects to modernity, as the effectiveness of fundamental rights, pass necessarily an ethical legal system of public spending. From the ethical principles deducted from the planning, only the democratic principle guides the public spending through the approval of public spending in the complex budget process. In other words, there is an ethical distancing of economic reality in relation to state responsibilities. From the dogmatic belief of insufficiency, public spending is evaluated ethically, according to the foundations of modern constitutionalism, in search of possible of the financial reserve, certain that the ethics of public economy is a sine qua non condition for legal ethics.

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Trigonometry, branch of mathematics related to the study of triangles, developed from practical needs, especially relating to astronomy, Surveying and Navigation. Johann Müller, the Regiomontanus (1436-1476) mathematician and astronomer of the fifteenth century played an important role in the development of this science. His work titled De Triangulis Omnimodis Libri Quinque written around 1464, and published posthumously in 1533, presents the first systematic exposure of European plane and spherical trigonometry, a treatment independent of astronomy. In this study we present a description, translation and analysis of some aspects of this important work in the history of trigonometry. Therefore, the translation was performed using a version of the book Regiomontanus on Triangles of Barnabas Hughes, 1967. In it you will find the original work in Latin and an English translation. For this study, we use for most of our translation in Portuguese, the English version, but some doubt utterance, statement and figures were made by the original Latin. In this work, we can see that trigonometry is considered as a branch of mathematics which is subordinated to geometry, that is, toward the study of triangles. Regiomontanus provides a large number of theorems as the original trigonometric formula for the area of a triangle. Use algebra to solve geometric problems and mainly shows the first practical theorem for the law of cosines in spherical trigonometry. Thus, this study shows some of the development of the trigonometry in the fifteenth century, especially with regard to concepts such as sine and cosine (sine reverse), the work discussed above, is of paramount importance for the research in the history of mathematics more specifically in the area of historical analysis and critique of literary sources or studying the work of a particular mathematician

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This study aims to analyze the implications that the knowledge of an important work for the History of Science, De revolutionibus orbium coelestium , by Nicholas Copernicus, can bring for the formation of Mathematics professors. The study focuses on Book I of Copernicus s work, where, in the final part, is found the Table of the Subtense Straight Lines in a Circle, a true sine table constructed by the author. The study considers two theoretical references, the History of Science and of Mathematics, in the professor s formation searched amongst others in Miguel and Miorm, Brito, Neves and Martins, and Radford, and the necessary teaching knowledge professors mst have, on the basis of Gauthier, Schulman and Imbernón amongst others, through which it is established a net of knowledge grouped in dimensions such as mathematical, psycho pedagogical, cultural and practical diversity, that guide the study analysis. In the search for more necessary elements to enrich the analysis, beyond the theoretical research in Book I, it is carried through, with under graduation pupils, future Math professors, the construction of a sine table following the project used in De revolutionibus . The study still makes a description of the life and work of Nicholas Copernicus, detaching the historical context where the author lived and the conceptions about the Universe existing at that time. The research reveals that the studied work is an important source of culture, able to provide to the Mathematics professor in formation, beyond the conceptual and procedural mathematical knowledge, a cultural knowledge that allows him to be opened to the knowledge of other areas that not his specific area, and so to acquire knowledge about the world history, the development of sciences and of the society

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The present study aimed to analyze the vision of tutors from a university hospital about supervised internship in nursing. It is a descriptive nature research with qualitative approach, developed at the University Hospital Onofre Lopes (HUOL), located in Natal/RN. The population was composed of eleven assisting nurses engaged the precentorship of undergraduate course students in nursing, from the Federal University of Rio Grande do Norte (UFRN). For the empirical research, conducted in the period from September to November 2013, the semi-structured interview involving questions directed to the stage was used, as advocate the national curriculum guidelines, as regards this curricular component. With the consent of the institution where the study has been developed and approved by the Research Ethics Committee of UFRN, as n° 17800613.9.0000.5537, besides CAAE signing an informed consent by participants. The analysis of the information was held from the analysis of content, thematic mode. Thereby four categories were defined a priori, namely: the supervised internship in the vision of nurses; To be preceptor; The internship concerned: contributions and difficulties; Do the institutional actors communicate? The results indicate that in the view of the supervised internship preceptors is a sine qua non for the training of nurses, considering that it prepares for professional life. Besides being a moment conducive to the exercise of management and a greater rapprochement between theory and practice, stimulates the preceptor to upgrade to better exercise the function and also provides an exchange of knowledge between students and tutors, thus contributing to optimize the service. Nevertheless, the respondents indicate the existence of a distancing and little communication with the academic institution. In summary, it is realized that the nurses understand the importance of its function of tutors and supervised stage for vocational training. It is necessary, however, to reflect on the paths to be pinched in the confrontation of difficulties in this process, especially as regards the teaching/service relationship, which, while remaining at a distance, strengthens the existing dichotomy between theory and practice

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Telecommunications play a key role in contemporary society. However, as new technologies are put into the market, it also grows the demanding for new products and services that depend on the offered infrastructure, making the problems of planning telecommunications networks, despite the advances in technology, increasingly larger and complex. However, many of these problems can be formulated as models of combinatorial optimization, and the use of heuristic algorithms can help solving these issues in the planning phase. In this project it was developed two pure metaheuristic implementations Genetic algorithm (GA) and Memetic Algorithm (MA) plus a third hybrid implementation Memetic Algorithm with Vocabulary Building (MA+VB) for a problem in telecommunications that is known in the literature as Problem SONET Ring Assignment Problem or SRAP. The SRAP arises during the planning stage of the physical network and it consists in the selection of connections between a number of locations (customers) in order to meet a series of restrictions on the lowest possible cost. This problem is NP-hard, so efficient exact algorithms (in polynomial complexity ) are not known and may, indeed, even exist

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The use of the maps obtained from remote sensing orbital images submitted to digital processing became fundamental to optimize conservation and monitoring actions of the coral reefs. However, the accuracy reached in the mapping of submerged areas is limited by variation of the water column that degrades the signal received by the orbital sensor and introduces errors in the final result of the classification. The limited capacity of the traditional methods based on conventional statistical techniques to solve the problems related to the inter-classes took the search of alternative strategies in the area of the Computational Intelligence. In this work an ensemble classifiers was built based on the combination of Support Vector Machines and Minimum Distance Classifier with the objective of classifying remotely sensed images of coral reefs ecosystem. The system is composed by three stages, through which the progressive refinement of the classification process happens. The patterns that received an ambiguous classification in a certain stage of the process were revalued in the subsequent stage. The prediction non ambiguous for all the data happened through the reduction or elimination of the false positive. The images were classified into five bottom-types: deep water; under-water corals; inter-tidal corals; algal and sandy bottom. The highest overall accuracy (89%) was obtained from SVM with polynomial kernel. The accuracy of the classified image was compared through the use of error matrix to the results obtained by the application of other classification methods based on a single classifier (neural network and the k-means algorithm). In the final, the comparison of results achieved demonstrated the potential of the ensemble classifiers as a tool of classification of images from submerged areas subject to the noise caused by atmospheric effects and the water column

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In this work, the variable structure adaptive pole placement controller (VS-APPC) robustness and performance are evaluated and this algorithm is applied in a motor control system. The controller robustness evaluation will be done through simulations, where will be introduced in the system the following adversities: time delay, actuator response boundeds, disturbances, parametric variation and unmodeled dynamics. The VS-APPC will be compared with PI control, pole placement control (PPC) and adaptive pole placement controller (APPC). The VS-APPC will be simulated to track a step and a sine reference. It will be applied in a three-phase induction motor control system to track a sine signal in the stator reference frame. Simulation and experimental results will prove the efficiency and robustness of this control strategy

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The problems of combinatory optimization have involved a large number of researchers in search of approximative solutions for them, since it is generally accepted that they are unsolvable in polynomial time. Initially, these solutions were focused on heuristics. Currently, metaheuristics are used more for this task, especially those based on evolutionary algorithms. The two main contributions of this work are: the creation of what is called an -Operon- heuristic, for the construction of the information chains necessary for the implementation of transgenetic (evolutionary) algorithms, mainly using statistical methodology - the Cluster Analysis and the Principal Component Analysis; and the utilization of statistical analyses that are adequate for the evaluation of the performance of the algorithms that are developed to solve these problems. The aim of the Operon is to construct good quality dynamic information chains to promote an -intelligent- search in the space of solutions. The Traveling Salesman Problem (TSP) is intended for applications based on a transgenetic algorithmic known as ProtoG. A strategy is also proposed for the renovation of part of the chromosome population indicated by adopting a minimum limit in the coefficient of variation of the adequation function of the individuals, with calculations based on the population. Statistical methodology is used for the evaluation of the performance of four algorithms, as follows: the proposed ProtoG, two memetic algorithms and a Simulated Annealing algorithm. Three performance analyses of these algorithms are proposed. The first is accomplished through the Logistic Regression, based on the probability of finding an optimal solution for a TSP instance by the algorithm being tested. The second is accomplished through Survival Analysis, based on a probability of the time observed for its execution until an optimal solution is achieved. The third is accomplished by means of a non-parametric Analysis of Variance, considering the Percent Error of the Solution (PES) obtained by the percentage in which the solution found exceeds the best solution available in the literature. Six experiments have been conducted applied to sixty-one instances of Euclidean TSP with sizes of up to 1,655 cities. The first two experiments deal with the adjustments of four parameters used in the ProtoG algorithm in an attempt to improve its performance. The last four have been undertaken to evaluate the performance of the ProtoG in comparison to the three algorithms adopted. For these sixty-one instances, it has been concluded on the grounds of statistical tests that there is evidence that the ProtoG performs better than these three algorithms in fifty instances. In addition, for the thirty-six instances considered in the last three trials in which the performance of the algorithms was evaluated through PES, it was observed that the PES average obtained with the ProtoG was less than 1% in almost half of these instances, having reached the greatest average for one instance of 1,173 cities, with an PES average equal to 3.52%. Therefore, the ProtoG can be considered a competitive algorithm for solving the TSP, since it is not rare in the literature find PESs averages greater than 10% to be reported for instances of this size.

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This work presents a modelling and identification method for a wheeled mobile robot, including the actuator dynamics. Instead of the classic modelling approach, where the robot position coordinates (x,y) are utilized as state variables (resulting in a non linear model), the proposed discrete model is based on the travelled distance increment Delta_l. Thus, the resulting model is linear and time invariant and it can be identified through classical methods such as Recursive Least Mean Squares. This approach has a problem: Delta_l can not be directly measured. In this paper, this problem is solved using an estimate of Delta_l based on a second order polynomial approximation. Experimental data were colected and the proposed method was used to identify the model of a real robot

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This paper presents an evaluative study about the effects of using a machine learning technique on the main features of a self-organizing and multiobjective genetic algorithm (GA). A typical GA can be seen as a search technique which is usually applied in problems involving no polynomial complexity. Originally, these algorithms were designed to create methods that seek acceptable solutions to problems where the global optimum is inaccessible or difficult to obtain. At first, the GAs considered only one evaluation function and a single objective optimization. Today, however, implementations that consider several optimization objectives simultaneously (multiobjective algorithms) are common, besides allowing the change of many components of the algorithm dynamically (self-organizing algorithms). At the same time, they are also common combinations of GAs with machine learning techniques to improve some of its characteristics of performance and use. In this work, a GA with a machine learning technique was analyzed and applied in a antenna design. We used a variant of bicubic interpolation technique, called 2D Spline, as machine learning technique to estimate the behavior of a dynamic fitness function, based on the knowledge obtained from a set of laboratory experiments. This fitness function is also called evaluation function and, it is responsible for determining the fitness degree of a candidate solution (individual), in relation to others in the same population. The algorithm can be applied in many areas, including in the field of telecommunications, as projects of antennas and frequency selective surfaces. In this particular work, the presented algorithm was developed to optimize the design of a microstrip antenna, usually used in wireless communication systems for application in Ultra-Wideband (UWB). The algorithm allowed the optimization of two variables of geometry antenna - the length (Ls) and width (Ws) a slit in the ground plane with respect to three objectives: radiated signal bandwidth, return loss and central frequency deviation. These two dimensions (Ws and Ls) are used as variables in three different interpolation functions, one Spline for each optimization objective, to compose a multiobjective and aggregate fitness function. The final result proposed by the algorithm was compared with the simulation program result and the measured result of a physical prototype of the antenna built in the laboratory. In the present study, the algorithm was analyzed with respect to their success degree in relation to four important characteristics of a self-organizing multiobjective GA: performance, flexibility, scalability and accuracy. At the end of the study, it was observed a time increase in algorithm execution in comparison to a common GA, due to the time required for the machine learning process. On the plus side, we notice a sensitive gain with respect to flexibility and accuracy of results, and a prosperous path that indicates directions to the algorithm to allow the optimization problems with "η" variables

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A modelagem de processos industriais tem auxiliado na produção e minimização de custos, permitindo a previsão dos comportamentos futuros do sistema, supervisão de processos e projeto de controladores. Ao observar os benefícios proporcionados pela modelagem, objetiva-se primeiramente, nesta dissertação, apresentar uma metodologia de identificação de modelos não-lineares com estrutura NARX, a partir da implementação de algoritmos combinados de detecção de estrutura e estimação de parâmetros. Inicialmente, será ressaltada a importância da identificação de sistemas na otimização de processos industriais, especificamente a escolha do modelo para representar adequadamente as dinâmicas do sistema. Em seguida, será apresentada uma breve revisão das etapas que compõem a identificação de sistemas. Na sequência, serão apresentados os métodos fundamentais para detecção de estrutura (Modificado Gram- Schmidt) e estimação de parâmetros (Método dos Mínimos Quadrados e Método dos Mínimos Quadrados Estendido) de modelos. No trabalho será também realizada, através dos algoritmos implementados, a identificação de dois processos industriais distintos representados por uma planta de nível didática, que possibilita o controle de nível e vazão, e uma planta de processamento primário de petróleo simulada, que tem como objetivo representar um tratamento primário do petróleo que ocorre em plataformas petrolíferas. A dissertação é finalizada com uma avaliação dos desempenhos dos modelos obtidos, quando comparados com o sistema. A partir desta avaliação, será possível observar se os modelos identificados são capazes de representar as características estáticas e dinâmicas dos sistemas apresentados nesta dissertação