Domesticated domesticated! Some comments on the translation into English of José Carlos Somoza's La Caverna de las ideas

In order to cater for an extended readership, crime fiction, like most popular genres, is based on the repetition of a formula allowing for the reader's immediate identification. This first domestication is followed, at the time of its translation, by a second process, which wipes out those characteristics of the source text that may come into conflict with the dominant values of the target culture. An analysis of the textual and paratextual strategies used in the English translation of José Carlos Somoza's La caverna de las ideas (2000) shows the efforts to make the novel more easily marketable in the English-speaking world through the elimination of most of the obstacles to easy readability.

O que transforma o mundo é a necessidade e não a utopia". Estudos sobre utopia e ficção em José Saramago

Recensão crítica

Levantamento planorbídico do Estado de São Paulo: 8ª Região Administrativa (grande área de São José do Rio Preto)

Para reconhecer a distribuição dos planorbídeos na 8ª Região Administrativa do Estado de São Paulo, 286 lotes de caramujos procedentes dos 85 municípios que a constituem foram examinados e identificados no Laboratório de Malacologia da SUCEN. Biomphalaria straminea, que ocorre em quatro criadouros - um em Altair e três em S. José do Rio Preto, foi a única espécie identificada capaz de vir a comportar-se naturalmente como hospedeira intermediária de S.mansoni. Isto demonstra que são mínimas as probabilidades da esquistossomose vir a instalar-se na área estudada.

GPU implementation of a hyperspectral coded aperture algorithm for compressive sensing

This paper presents a new parallel implementation of a previously hyperspectral coded aperture (HYCA) algorithm for compressive sensing on graphics processing units (GPUs). HYCA method combines the ideas of spectral unmixing and compressive sensing exploiting the high spatial correlation that can be observed in the data and the generally low number of endmembers needed in order to explain the data. The proposed implementation exploits the GPU architecture at low level, thus taking full advantage of the computational power of GPUs using shared memory and coalesced accesses to memory. The proposed algorithm is evaluated not only in terms of reconstruction error but also in terms of computational performance using two different GPU architectures by NVIDIA: GeForce GTX 590 and GeForce GTX TITAN. Experimental results using real data reveals signficant speedups up with regards to serial implementation.

FPGA-based architecture for hyperspectral unmixing

This paper proposes an FPGA-based architecture for onboard hyperspectral unmixing. This method based on the Vertex Component Analysis (VCA) has several advantages, namely it is unsupervised, fully automatic, and it works without dimensionality reduction (DR) pre-processing step. The architecture has been designed for a low cost Xilinx Zynq board with a Zynq-7020 SoC FPGA based on the Artix-7 FPGA programmable logic and tested using real hyperspectral datasets. Experimental results indicate that the proposed implementation can achieve real-time processing, while maintaining the methods accuracy, which indicate the potential of the proposed platform to implement high-performance, low cost embedded systems.

Parallel hyperspectral compressive sensing method on GPU

Remote hyperspectral sensors collect large amounts of data per flight usually with low spatial resolution. It is known that the bandwidth connection between the satellite/airborne platform and the ground station is reduced, thus a compression onboard method is desirable to reduce the amount of data to be transmitted. This paper presents a parallel implementation of an compressive sensing method, called parallel hyperspectral coded aperture (P-HYCA), for graphics processing units (GPU) using the compute unified device architecture (CUDA). This method takes into account two main properties of hyperspectral dataset, namely the high correlation existing among the spectral bands and the generally low number of endmembers needed to explain the data, which largely reduces the number of measurements necessary to correctly reconstruct the original data. Experimental results conducted using synthetic and real hyperspectral datasets on two different GPU architectures by NVIDIA: GeForce GTX 590 and GeForce GTX TITAN, reveal that the use of GPUs can provide real-time compressive sensing performance. The achieved speedup is up to 20 times when compared with the processing time of HYCA running on one core of the Intel i7-2600 CPU (3.4GHz), with 16 Gbyte memory.

Parallel hyperspectral coded aperture for compressive sensing on GPUs

The application of compressive sensing (CS) to hyperspectral images is an active area of research over the past few years, both in terms of the hardware and the signal processing algorithms. However, CS algorithms can be computationally very expensive due to the extremely large volumes of data collected by imaging spectrometers, a fact that compromises their use in applications under real-time constraints. This paper proposes four efficient implementations of hyperspectral coded aperture (HYCA) for CS, two of them termed P-HYCA and P-HYCA-FAST and two additional implementations for its constrained version (CHYCA), termed P-CHYCA and P-CHYCA-FAST on commodity graphics processing units (GPUs). HYCA algorithm exploits the high correlation existing among the spectral bands of the hyperspectral data sets and the generally low number of endmembers needed to explain the data, which largely reduces the number of measurements necessary to correctly reconstruct the original data. The proposed P-HYCA and P-CHYCA implementations have been developed using the compute unified device architecture (CUDA) and the cuFFT library. Moreover, this library has been replaced by a fast iterative method in the P-HYCA-FAST and P-CHYCA-FAST implementations that leads to very significant speedup factors in order to achieve real-time requirements. The proposed algorithms are evaluated not only in terms of reconstruction error for different compressions ratios but also in terms of computational performance using two different GPU architectures by NVIDIA: 1) GeForce GTX 590; and 2) GeForce GTX TITAN. Experiments are conducted using both simulated and real data revealing considerable acceleration factors and obtaining good results in the task of compressing remotely sensed hyperspectral data sets.

Construção e desconstrução de identidades em a Caverna de José Saramago e Who's afraid of Virginia Woolf ? de Edward Albee

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Línguas, Literaturas e Culturas, Estudos Ingleses e Norte-Americanos

Parallel hyperspectral unmixing method via split augmented lagrangian on GPU

One of the main problems of hyperspectral data analysis is the presence of mixed pixels due to the low spatial resolution of such images. Linear spectral unmixing aims at inferring pure spectral signatures and their fractions at each pixel of the scene. The huge data volumes acquired by hyperspectral sensors put stringent requirements on processing and unmixing methods. This letter proposes an efficient implementation of the method called simplex identification via split augmented Lagrangian (SISAL) which exploits the graphics processing unit (GPU) architecture at low level using Compute Unified Device Architecture. SISAL aims to identify the endmembers of a scene, i.e., is able to unmix hyperspectral data sets in which the pure pixel assumption is violated. The proposed implementation is performed in a pixel-by-pixel fashion using coalesced accesses to memory and exploiting shared memory to store temporary data. Furthermore, the kernels have been optimized to minimize the threads divergence, therefore achieving high GPU occupancy. The experimental results obtained for the simulated and real hyperspectral data sets reveal speedups up to 49 times, which demonstrates that the GPU implementation can significantly accelerate the method's execution over big data sets while maintaining the methods accuracy.

Recompondo a cultura da matemática escolar: a intervenção da folha informativa dos professores do 1º Grupo (E.T.P.)

XX Seminário de Investigação em Educação Matemática (pp. 228-238). Viana do Castelo

Reforço de estruturas de betão armado com compósitos de fibra de carbono

O relatório resulta do estágio realizado na empresa Sika Brasil, no âmbito da Unidade Curricular de DIPRE do Mestrado de Engenharia Civil do Instituto Superior de Engenharia do Porto. A área de especialidade incidiu na recuperação e reforço de estruturas (Target Market Refurbishment), onde se deu a oportunidade de aprofundar conhecimentos em reforço estrutural através do sistema de reforço com compósitos de fibra de carbono (CFRP) colado exteriormente (EBR - Externally Bonded Reinforcement). O estágio realizado permitiu uma abordagem com a gama de produtos de recuperação e reforço da Sika Brasil, sendo que houve um foco muito grande nos produtos que respeitam ao reforço estrutural com compósitos de fibra de carbono. Este documento visa várias etapas do estágio, relacionadas diretamente com o reforço estrutural com CFRP. Foi feito um levantamento teórico das características dos compósitos de fibra de carbono, dando a conhecer os materiais envolvidos no sistema, as suas propriedades mecânicas e o seu âmbito de aplicação. No sentido de ter um diálogo profícuo com os projetistas e aplicadores de sistemas compósitos de fibra, foi realizada uma análise do procedimento de cálculo para o dimensionamento de reforço CFRP, à luz do Bulletin 14 fib:01 (2001), bem como uma análise da situação de incêndio para os sistemas compósitos. Consta neste documento uma análise feita entre os principais fornecedores de sistemas de CFRP no Brasil, baseando-se a mesma no conteúdo das fichas técnicas de produto relativas ao sistema de reforço EBR e respetiva comparação com a informação necessária para dimensionamento, de acordo com o Bulletin 14 fib:01 (2001). É relatado um reforço estrutural, como caso de estudo, tendo-se dado a oportunidade de se acompanhar desde a sua fase de projeto até à fase de execução. Por fim, este documento contém a simulação de dois programas da Sika para dimensionamento de reforço CFRP. A simulação foi feita para uma viga submetida a esforço de flexão, com as características geométricas e solicitações previamente definidas.

A importância de se chamar português: José Liberato Freire de Carvalho na direcção do investigador português, 1814-1819.

Tese apresentada para cumprimento dos requisitos necessários à obtenção do grau de Doutor em História e Teoria das Ideias, especialidade Pensamento, Cultura e Política