Corpo híbrido: corpo cotidiano e corpo artístico na prática da performance art

Pós-graduação em Artes - IA

Processos de tomada de decisões na performance musical: influência das heurísticas e vieses na elaboração da performance

Pós-graduação em Música - IA

Inter-relações entre Performance e Musicologia Histórica: perspectivas para a interpretação musical

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

O Núcleo UHUU de pesquisa da performance: inter-ação e inter-locus-ação

The 'Performance Research UHUU Centre: interarts and multimedia' of Unesp Bauru is a possibility, among countless attempts, to break off the distance between the show and the audience, imposed by the classic dramaturgy. Seeking for re-establishing the vital energy dialogue between the artist and his public, the performance art is focused, which, opposed to the theatre orthodox conceptions (which presuppose a highlighted place to the transmitter regarding the receiver), places the public as the interlocutor and even as the message co-author. The aim of this work is to show that the UHUU Centre focus on works such as researches and productions in partnership with the Marcio Pizarro and the processes-researches-actions in partnership with the Interarts CNPq Research Group: interartistic processes and systems and performance studies.

Adote o artista não deixe ele virar professor: reflexões em torno do híbrido professor performer

Pós-graduação em Artes - IA

Práxis intervencionista na escola: experiências de ressignificação, deslocamento e insurgência

Pós-graduação em Artes - IA

Revista apart: além do conceitual

This magazine aims to be an environment for discussion and information about performance art in Brazil and abroad, taking advantage of the momentum of this art form today. The magazine apart will be the first Brazilian publication to focus on performance art out of academic environments. The collaboration of professionals and scholars lends credibility to the product becoming a benchmark in the study of contemporary art. Besides being an enhancer and exhibitor of artists and works, this magazine also wants to be a work of art itself

Artista/Câmara de maravilhas

Pós-graduação em Artes - IA

Processos instáveis

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Maquiagem e a construção de personagens no cinema moderno: estudo do caso Benjamin Button

The o bjective of this dissertation is to present a theoretical essay on the importance of makeup in the creation of characters through the review of The Curious Case of Benjamin Button, a movie directed by David Fincher based on a short-story by F. Scott Fitzgerald. This thesis makes an historica loverview of makeup, including a discussion on its evolution and importance to visual arts, as a background to the analyses of the proposed movie

Madeira sobre mar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Intervenção urbana: possíveis desconstruções do espetáculo cotidiano : jogos, derivas e andarilhagens

Pós-graduação em Artes - IA

Transient stability analysis of electric energy systems via a fuzzy ART-ARTMAP neural network

This work presents a methodology to analyze transient stability (first oscillation) of electric energy systems, using a neural network based on ART architecture (adaptive resonance theory), named fuzzy ART-ARTMAP neural network for real time applications. The security margin is used as a stability analysis criterion, considering three-phase short circuit faults with a transmission line outage. The neural network operation consists of two fundamental phases: the training and the analysis. The training phase needs a great quantity of processing for the realization, while the analysis phase is effectuated almost without computation effort. This is, therefore the principal purpose to use neural networks for solving complex problems that need fast solutions, as the applications in real time. The ART neural networks have as primordial characteristics the plasticity and the stability, which are essential qualities to the training execution and to an efficient analysis. The fuzzy ART-ARTMAP neural network is proposed seeking a superior performance, in terms of precision and speed, when compared to conventional ARTMAP, and much more when compared to the neural networks that use the training by backpropagation algorithm, which is a benchmark in neural network area. (c) 2005 Elsevier B.V. All rights reserved.

Electric load forecasting using a fuzzy ART&ARTMAP neural network

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.

Energy-performance tradeoffs in software transactional memory

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.