628 resultados para Heurísticas da representatividade


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As características adquiridas pela GR desde a sua origem fomentaram a criação de infinitas possibilidades de movimento. O sentido estético que busca o belo ginástico, o vínculo inabalável com a música, o entrelaçamento com a dança, a busca por formas inusitadas e especialmente tramadas, configuram esse esporte aberto a diferentes interpretações. Esse estudo tem como objetivo refletir sobre o corpo na GR a partir do seu entrelaçamento com a técnica, a arte e a cultura, além de ampliar a discussão sobre os esportes considerados artísticos no universo da Educação Física. Para tanto, utilizamos a Pesquisa Qualitativa com suporte na Fenomenologia segundo Merleau-Ponty e através da redução fenomenológica e da hermenêutica como modalidade da fenomenologia, utilizada para descrever, compreender e interpretar vídeos de conjuntos de GR simples e misto, selecionados intencionalmente. A escolha dos conjuntos deu se em virtude da relação possível com os conceitos abordados nesse estudo, além da sua representatividade no universo ginástico, principalmente na prova em questão. Limitamos as escolhas coreográficas ao ciclo olímpico 2009 a 2012, por corresponder ao período onde os critérios para a elaboração e avaliação das composições estavam sedimentados. Para favorecer o entendimento do tema elencado dividimos o texto em três capítulos que tratam prioritariamente de cada um dos conceitos básicos que são entrelaçados ao corpo na GR: a técnica, a arte e a cultura. Nas considerações finais, respondemos as questões de estudo e reatamos a configuração essencial à GR como modalidade diferenciada no mundo esportivo

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In the new world order is notorious changes in social, ethical, economical and political aspects in the society, which reach incisively higher education, requiring a number of modifications and a new vision in nursing education, in order to meet the demands of the Unique Health System. Thus, the Higher Education Institutes (HEI) and teachers are invited to face new challenges and reflect on their practices, using pedagogical approaches and innovative methodologies to meet the requirements of a globalized society. This study has as an objective to analyze the perspective of teachers in what concern the pedagogical approaches used in nursing education and to identify pedagogical approaches utilized by teachers in nursing education. This is a field research of exploratory kind, descriptive, of quantitative approach. The search was conducted at the Department of Nursing of the Federal University of Rio Grande do Norte UFRN, based in the city of Natal. The population consisted of forty-six teachers. From this population was selected a sample of twenty teachers. Data collection occurred from August to September 2011, through the utilization of the technique of interview and questionnaire. The obtained data were analyzed in two moments. In the first moment, was carried out the quantitative analysis that refers to the obtained data through the interview technique, methodological procedures were submitted to the content analysis proposed by Bardin. On the second moment, concerning the quantitative analysis of the questionnaires applied to the teachers and of the identification data, which were digitized and transferred to a spreadsheet electronic of Microsoft Excel XP, tabulated and organized into tables, containing their relative and absolute frequencies. It is worth mentioning that were respected the aspects of the CNS Resolution 196/96. With regard to the characteristics of research participants, 20% were male; with a degree of titration of 55% doctorates; regarding time of service there was a greater representation from 15 to 45 years, with 45%. The results showed that 90% of teachers who participated in the research have an appropriate understanding of non-critical pedagogical approaches, only 10% had an inadequate understanding. However, 70% of teachers, despite having an adequate understanding, reported difficulties when attempting to implement these pedagogies. Most teachers, with representability of 80% consider the non-critical pedagogies relevant in nursing education, as well as critical pedagogies, being represented by 95% of teachers. It was concluded that both critical and non-critical pedagogies are in teachers practice of undergraduate nursing education. It feels like a moment of transition, since the presence of new ways of teaching as a part of this educational context, with educational models that give value to scientific, ethical and personal aspects in the educational process. The research contains limitations, however highlights the contribution of new possibilities for action, reflection on the context of performance, maximizing the pedagogical skills necessary to conduct teaching process, in line with the new educational paradigm of higher education

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Worldwide, the demand for transportation services for persons with disabilities, the elderly, and persons with reduced mobility have increased in recent years. The population is aging, governments need to adapt to this reality, and this fact could mean business opportunities for companies. Within this context is inserted the Programa de Acessibilidade Especial porta a porta PRAE, a door to door public transportation service from the city of Natal-RN in Brazil. The research presented in this dissertation seeks to develop a programming model which can assist the process of decision making of managers of the shuttle. To that end, it was created an algorithm based on methods of generating approximate solutions known as heuristics. The purpose of the model is to increase the number of people served by the PRAE, given the available fleet, generating optimized schedules routes. The PRAE is a problem of vehicle routing and scheduling of dial-a-ride - DARP, the most complex type among the routing problems. The validation of the method of resolution was made by comparing the results derived by the model and the currently programming method. It is expected that the model is able to increase the current capacity of the service requests of transport

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

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This dissertation conducted in the years 2011 and 2012, an analysis of cooperatives waste pickers in the city of Natal, Rio Grande do Norte, aiming to identify improvements to be implemented to assist the management of waste from the municipality as well as to improve the living conditions of the workers who perform the selective collection, the environmental perspective. This analysis was performed by means of an investigation of the reality in which they live cooperatives and their local representation, using also the law. The research is characterized as a case study of an applied nature, documentary, consultations with the institutions related to the issue of solid waste in the national and local levels; exploratory and descriptive, the main methodological tools technical visits and structured interviews. From these methods was possible to obtain data regarding the organization of cooperatives, environmental perception of the collector of recyclable materials, among other issues. For the analysis of data matrices were used to include comments and method GUT, from which it was possible to identify numerous difficulties faced by recycling cooperatives, and develop proposals for possible improvements in various aspects of their operation, such as infrastructure and production process , which can improve both the waste management and the quality of life of workers involved in the selective collection system city

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Eventually, violations of voltage limits at buses or admissible loadings of transmission lines and/or power transformers may occur by the power system operation. If violations are detected in the supervision process, corrective measures may be carried out in order to eliminate them or to reduce their intensity. Loading restriction is an extreme solution and should only be adopted as the last control action. Previous researches have shown that it is possible to control constraints in electrical systems by changing the network topology, using the technique named Corrective Switching, which requires no additional costs. In previous works, the proposed calculations for verifying the ability of a switching variant in eliminating an overload in a specific branch were based on network reduction or heuristic analysis. The purpose of this work is to develop analytical derivation of linear equations to estimate current changes in a specific branch (due to switching measures) by means of few calculations. For bus-bar coupling, derivations will be based on short-circuit theory and Relief Function methodology. For bus-bar splitting, a Relief Function will be derived based on a technique of equivalent circuit. Although systems of linear equations are used to substantiate deductions, its formal solution for each variant, in real time does not become necessary. A priority list of promising variants is then assigned for final check by an exact load flow calculation and a transient analysis using ATP Alternative Transient Program. At last, results obtained by simulation in networks with different features will be presented

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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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In this work we present a new clustering method that groups up points of a data set in classes. The method is based in a algorithm to link auxiliary clusters that are obtained using traditional vector quantization techniques. It is described some approaches during the development of the work that are based in measures of distances or dissimilarities (divergence) between the auxiliary clusters. This new method uses only two a priori information, the number of auxiliary clusters Na and a threshold distance dt that will be used to decide about the linkage or not of the auxiliary clusters. The number os classes could be automatically found by the method, that do it based in the chosen threshold distance dt, or it is given as additional information to help in the choice of the correct threshold. Some analysis are made and the results are compared with traditional clustering methods. In this work different dissimilarities metrics are analyzed and a new one is proposed based on the concept of negentropy. Besides grouping points of a set in classes, it is proposed a method to statistical modeling the classes aiming to obtain a expression to the probability of a point to belong to one of the classes. Experiments with several values of Na e dt are made in tests sets and the results are analyzed aiming to study the robustness of the method and to consider heuristics to the choice of the correct threshold. During this work it is explored the aspects of information theory applied to the calculation of the divergences. It will be explored specifically the different measures of information and divergence using the Rényi entropy. The results using the different metrics are compared and commented. The work also has appendix where are exposed real applications using the proposed method

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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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A irrigação é prática fundamental para o cultivo de crisântemo, porém seu manejo adequado tem sido negligenciado pelos produtores, resultando em prejuízos no crescimento vegetal e conseqüentes decréscimos na produtividade e na qualidade do produto final. Para melhorar a representatividade dos dados obtidos, o experimento foi desenvolvido na propriedade de um produtor tradicional, no Distrito de Holambra II, município de Paranapanema-SP (23º4'S e 49º00'W). O objetivo principal do trabalho foi identificar a tensão de água no substrato (potencial matricial) que resultasse em melhor crescimento e desenvolvimento do crisântemo em vaso, cultivar Puritan. Os tratamentos foram definidos por seis níveis de tensão de água no substrato: -2, -3, -4,- 6,-10 e -30 kPa. Conclui-se, que a melhor qualidade do crisântemo em vaso foi obtida nos potenciais de água no substrato de -2, -6 e -10 kPa e que a tensão de -30 kPa, embora tenha levado à redução na qualidade comercial do crisântemo, resultou em maior durabilidade pós- colheita.

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This work proposes a kinematic control scheme, using visual feedback for a robot arm with five degrees of freedom. Using computational vision techniques, a method was developed to determine the cartesian 3d position and orientation of the robot arm (pose) using a robot image obtained through a camera. A colored triangular label is disposed on the robot manipulator tool and efficient heuristic rules are used to obtain the vertexes of that label in the image. The tool pose is obtained from those vertexes through numerical methods. A color calibration scheme based in the K-means algorithm was implemented to guarantee the robustness of the vision system in the presence of light variations. The extrinsic camera parameters are computed from the image of four coplanar points whose cartesian 3d coordinates, related to a fixed frame, are known. Two distinct poses of the tool, initial and final, obtained from image, are interpolated to generate a desired trajectory in cartesian space. The error signal in the proposed control scheme consists in the difference between the desired tool pose and the actual tool pose. Gains are applied at the error signal and the signal resulting is mapped in joint incrementals using the pseudoinverse of the manipulator jacobian matrix. These incrementals are applied to the manipulator joints moving the tool to the desired pose

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Several methods of mobile robot navigation request the mensuration of robot position and orientation in its workspace. In the wheeled mobile robot case, techniques based on odometry allow to determine the robot localization by the integration of incremental displacements of its wheels. However, this technique is subject to errors that accumulate with the distance traveled by the robot, making unfeasible its exclusive use. Other methods are based on the detection of natural or artificial landmarks present in the environment and whose location is known. This technique doesnt generate cumulative errors, but it can request a larger processing time than the methods based on odometry. Thus, many methods make use of both techniques, in such a way that the odometry errors are periodically corrected through mensurations obtained from landmarks. Accordding to this approach, this work proposes a hybrid localization system for wheeled mobile robots in indoor environments based on odometry and natural landmarks. The landmarks are straight lines de.ned by the junctions in environments floor, forming a bi-dimensional grid. The landmark detection from digital images is perfomed through the Hough transform. Heuristics are associated with that transform to allow its application in real time. To reduce the search time of landmarks, we propose to map odometry errors in an area of the captured image that possesses high probability of containing the sought mark

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The seismic method is of extreme importance in geophysics. Mainly associated with oil exploration, this line of research focuses most of all investment in this area. The acquisition, processing and interpretation of seismic data are the parts that instantiate a seismic study. Seismic processing in particular is focused on the imaging that represents the geological structures in subsurface. Seismic processing has evolved significantly in recent decades due to the demands of the oil industry, and also due to the technological advances of hardware that achieved higher storage and digital information processing capabilities, which enabled the development of more sophisticated processing algorithms such as the ones that use of parallel architectures. One of the most important steps in seismic processing is imaging. Migration of seismic data is one of the techniques used for imaging, with the goal of obtaining a seismic section image that represents the geological structures the most accurately and faithfully as possible. The result of migration is a 2D or 3D image which it is possible to identify faults and salt domes among other structures of interest, such as potential hydrocarbon reservoirs. However, a migration fulfilled with quality and accuracy may be a long time consuming process, due to the mathematical algorithm heuristics and the extensive amount of data inputs and outputs involved in this process, which may take days, weeks and even months of uninterrupted execution on the supercomputers, representing large computational and financial costs, that could derail the implementation of these methods. Aiming at performance improvement, this work conducted the core parallelization of a Reverse Time Migration (RTM) algorithm, using the parallel programming model Open Multi-Processing (OpenMP), due to the large computational effort required by this migration technique. Furthermore, analyzes such as speedup, efficiency were performed, and ultimately, the identification of the algorithmic scalability degree with respect to the technological advancement expected by future processors

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This dissertation aims to assess the representativeness of the manual chilled mirror analyzer (model II Chanscope 13-1200-CN-2) used for the determination of condensed hydrocarbons of natural gas compared to the indirect methods, based on thermodynamic models equation of state. Additionally, it has been implemented in this study a model for calculating the dew point of natural gas. The proposed model is a modification of the equation of state of Peng-Robinson admits that the groups contribution as a strategy to calculate the binary interaction parameters kij (T) temperature dependence. Experimental data of the work of Brown et al. (2007) were used to compare the responses of the dew point of natural gas with thermodynamic models contained in the UniSim process simulator and the methodology implemented in this study. Then two natural gas compositions were studied, the first being a standard gas mixture gravimetrically synthesized and, second, a mixture of processed natural gas. These experimental data were also compared with the results presented by UniSim process simulator and the thermodynamic model implemented. However, data from the manual analysis results indicated significant differences in temperature, these differences were attributed to the formation of dew point of water, as we observed the appearance of moisture on the mirror surface cooling equipment

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)