974 resultados para performance-art, arte russa, traduzione


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This work presents a neural network based on the ART architecture ( adaptive resonance theory), named fuzzy ART& ARTMAP neural network, applied to the electric load-forecasting problem. The neural networks based on the ARTarchitecture have two fundamental characteristics that are extremely important for the network performance ( stability and plasticity), which allow the implementation of continuous training. The fuzzy ART& ARTMAP neural network aims to reduce the imprecision of the forecasting results by a mechanism that separate the analog and binary data, processing them separately. Therefore, this represents a reduction on the processing time and improved quality of the results, when compared to the Back-Propagation neural network, and better to the classical forecasting techniques (ARIMA of Box and Jenkins methods). Finished the training, the fuzzy ART& ARTMAP neural network is capable to forecast electrical loads 24 h in advance. To validate the methodology, data from a Brazilian electric company is used. (C) 2004 Elsevier B.V. All rights reserved.

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Intrafamily sexual violence against children and adolescents is a highly complex and serious issue in terms of the damage caused to this population. However, despite the relevance of this discussion, the matter only began to be addressed in the second half of the twentieth century, with its inclusion in academic research from the perspective of damage caused to the victims. Debate on intrafamily sexual violence against children and adolescents has intensified in recent decades, particularly with the enactment of the Statute on Children and Adolescents (Federal Law 8069/90), which recognizes children and adolescents as rights holders. Open discussion on the issue meant several fields of knowledge began to study the topic. Particularly prominent among these areas is the field of Psychology, promoting theoretical discussions and practical interventions focusing on this type of violence. Given the theoretical and methodological diversity of psychological science and the many possibilities for the production of knowledge, this study aims to map and debate research conducted in the field that discusses intrafamily sexual violence against children and adolescents in Brazil. To that end, articles published in Psychology journals were analyzed. In order to achieve this objective, a search was conducted of Scielo Brasil using descriptors on the subject, chosen from a list reported by Faleiros (2000). The time frame studied was between 1990 and 2013, therefore included the date of the enactment of the Statute of Children and Adolescents. Qualitative analysis was selected as a data analysis technique around two main themes. The first involved analyzing the concept of intrafamily sexual violence based on its components. The second analytical theme addressed the theoretical and methodological strategies used by the authors. The aim was to identify and discuss the approaches chosen to achieve the proposed objectives as well as the justifications provided by the authors for their research. Analyses of these themes were based on theoretical discussions on intrafamily sexual violence against children and adolescents. Difficulties were identified in conceptualizing intrafamily sexual violence so as to include all its elements and differentiate it from sexual exploitation. The studies assessed showed substantial diversity in both the theoretical and methodological approaches used, contributing to understanding the phenomenon. It is expected that this study will contribute to reflection on intrafamily sexual violence against children and adolescents, promoting new studies and/or practical interventions

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The Car Rental Salesman Problem (CaRS) is a variant of the classical Traveling Salesman Problem which was not described in the literature where a tour of visits can be decomposed into contiguous paths that may be performed in different rental cars. The aim is to determine the Hamiltonian cycle that results in a final minimum cost, considering the cost of the route added to the cost of an expected penalty paid for each exchange of vehicles on the route. This penalty is due to the return of the car dropped to the base. This paper introduces the general problem and illustrates some examples, also featuring some of its associated variants. An overview of the complexity of this combinatorial problem is also outlined, to justify their classification in the NPhard class. A database of instances for the problem is presented, describing the methodology of its constitution. The presented problem is also the subject of a study based on experimental algorithmic implementation of six metaheuristic solutions, representing adaptations of the best of state-of-the-art heuristic programming. New neighborhoods, construction procedures, search operators, evolutionary agents, cooperation by multi-pheromone are created for this problem. Furtermore, computational experiments and comparative performance tests are conducted on a sample of 60 instances of the created database, aiming to offer a algorithm with an efficient solution for this problem. These results will illustrate the best performance reached by the transgenetic algorithm in all instances of the dataset

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The Quadratic Minimum Spanning Tree Problem (QMST) is a version of the Minimum Spanning Tree Problem in which, besides the traditional linear costs, there is a quadratic structure of costs. This quadratic structure models interaction effects between pairs of edges. Linear and quadratic costs are added up to constitute the total cost of the spanning tree, which must be minimized. When these interactions are restricted to adjacent edges, the problem is named Adjacent Only Quadratic Minimum Spanning Tree (AQMST). AQMST and QMST are NP-hard problems that model several problems of transport and distribution networks design. In general, AQMST arises as a more suitable model for real problems. Although, in literature, linear and quadratic costs are added, in real applications, they may be conflicting. In this case, it may be interesting to consider these costs separately. In this sense, Multiobjective Optimization provides a more realistic model for QMST and AQMST. A review of the state-of-the-art, so far, was not able to find papers regarding these problems under a biobjective point of view. Thus, the objective of this Thesis is the development of exact and heuristic algorithms for the Biobjective Adjacent Only Quadratic Spanning Tree Problem (bi-AQST). In order to do so, as theoretical foundation, other NP-hard problems directly related to bi-AQST are discussed: the QMST and AQMST problems. Bracktracking and branch-and-bound exact algorithms are proposed to the target problem of this investigation. The heuristic algorithms developed are: Pareto Local Search, Tabu Search with ejection chain, Transgenetic Algorithm, NSGA-II and a hybridization of the two last-mentioned proposals called NSTA. The proposed algorithms are compared to each other through performance analysis regarding computational experiments with instances adapted from the QMST literature. With regard to exact algorithms, the analysis considers, in particular, the execution time. In case of the heuristic algorithms, besides execution time, the quality of the generated approximation sets is evaluated. Quality indicators are used to assess such information. Appropriate statistical tools are used to measure the performance of exact and heuristic algorithms. Considering the set of instances adopted as well as the criteria of execution time and quality of the generated approximation set, the experiments showed that the Tabu Search with ejection chain approach obtained the best results and the transgenetic algorithm ranked second. The PLS algorithm obtained good quality solutions, but at a very high computational time compared to the other (meta)heuristics, getting the third place. NSTA and NSGA-II algorithms got the last positions

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Este artigo busca expor as críticas de Bernardo de Claraval às superfluidades humanas no texto da Apologia, especialmente aquelas referentes à arte arquitetural. em segundo lugar, procura analisar as implicações estéticas do ascetismo cisterciense e bernardiano. As críticas de Bernardo exercem uma influência decisiva na ornamentação e fazem nascer uma nova arquitetura.

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This paper introduces a new variant of the Traveling Car Renter Problem, named Prizecollecting Traveling Car Renter Problem. In this problem, a set of vertices, each associated with a bonus, and a set of vehicles are given. The objective is to determine a cycle that visits some vertices collecting, at least, a pre-defined bonus, and minimizing the cost of the tour that can be traveled with different vehicles. A mathematical formulation is presented and implemented in a solver to produce results for sixty-two instances. The proposed problem is also subject of an experimental study based on the algorithmic application of four metaheuristics representing the best adaptations of the state of the art of the heuristic programming.We also provide new local search operators which exploit the neighborhoods of the problem, construction procedures and adjustments, created specifically for the addressed problem. Comparative computational experiments and performance tests are performed on a sample of 80 instances, aiming to offer a competitive algorithm to the problem. We conclude that memetic algorithms, computational transgenetic and a hybrid evolutive algorithm are competitive in tests performed

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A proposta deste estudo é relatar a utilização da arte e seus segmentos, como recurso para inclusão da criança portadora de necessidades especiais ao ambiente odontológico. Foi utilizado como método a aplicação da arte em atividades de socioterapia e oficinas, divididas em módulos: sessão de socialização, oficinas de arte e atividades complementares, visando à elaboração de uma anamnese cultural por meio de questionários e a obtenção das preferências artísticas dos 313 participantes, previamente às suas assistências odontológicas no CAOE (Centro de Assistência Odontológica a Portadores de Necessidades Especiais) FOA/Unesp. de acordo com os questionários respondidos, a música e a pintura, segundo a preferência dos participantes, são os segmentos artísticos que mais auxiliam nas atividades de inclusão e adaptação. Concluímos que a utilização da arte na adaptação e inclusão ambiental do paciente, previamente à assistência odontológica, é favorável e eficaz.

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This article intends to discuss the importance of the ego-psychology towards the psychoanalytical interpretation of the aesthetic experience. Its focus is based on the Ernst Kris original work, therefore it intends to present certain basis of his aesthetical thinking. In this case, however, it will suggest one certain reading which emphasizes the problem of sublimation as a drive destination-and not as a defense mechanism-in within this relationship between art and psychoanalysis; hence, it brings out a phenomenon that crosses the psychoanalytical thinking since its first conception.

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This paper aims to highlight the state of the art of obtaining carbon credits through the use of electric vehicles. This is one of the solutions to significantly reduce the emission of GHG (Greenhouse Gas) emissions in the case of CO 2, NOx, SOx, and CH 4 (thermochemical reactions arising from the combustion of gasoline with ethanol) in motor vehicles. For this quantitative study was done based on the survey of bibliographic data available and the development of basic calculations considering the car fleet of the Country of Brazil and the CO 2 emissions generated by the same. Thus explaining the considerable gain in air quality and reduction of vectors of greenhouse gases in the case of replacing the current fleet of vehicles combustion of hydrocarbon aliphatic chain, for an eco-efficient fleet consists of electric vehicles and/or hybrids.

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Transactional memory (TM) is a new synchronization mechanism devised to simplify parallel programming, thereby helping programmers to unleash the power of current multicore processors. Although software implementations of TM (STM) have been extensively analyzed in terms of runtime performance, little attention has been paid to an equally important constraint faced by nearly all computer systems: energy consumption. In this work we conduct a comprehensive study of energy and runtime tradeoff sin software transactional memory systems. We characterize the behavior of three state-of-the-art lock-based STM algorithms, along with three different conflict resolution schemes. As a result of this characterization, we propose a DVFS-based technique that can be integrated into the resolution policies so as to improve the energy-delay product (EDP). Experimental results show that our DVFS-enhanced policies are indeed beneficial for applications with high contention levels. Improvements of up to 59% in EDP can be observed in this scenario, with an average EDP reduction of 16% across the STAMP workloads. © 2012 IEEE.

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Pós-graduação em Artes - IA

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Artes - IA