One-dimensional potential for image-potential states on graphene

In the framework of dielectric theory, the static non-local self-energy of an electron near an ultra-thin polarizable layer has been calculated and applied to study binding energies of image-potential states near free-standing graphene. The corresponding series of eigenvalues and eigenfunctions have been obtained by numerically solving the one-dimensional Schrodinger equation. The imagepotential state wave functions accumulate most of their probability outside the slab. We find that the random phase approximation (RPA) for the nonlocal dielectric function yields a superior description for the potential inside the slab, but a simple Fermi-Thomas theory can be used to get a reasonable quasi-analytical approximation to the full RPA result that can be computed very economically. Binding energies of the image-potential states follow a pattern close to the Rydberg series for a perfect metal with the addition of intermediate states due to the added symmetry of the potential. The formalism only requires a minimal set of free parameters: the slab width and the electronic density. The theoretical calculations are compared with experimental results for the work function and image-potential states obtained by two-photon photoemission.

Development and growth of hatchery-reared larval Florida pompano (Trachinotus carolinus)

Although the Florida pompano (Trachinotus carolinus) is a prime candidate for aquaculture, the problematic production of juveniles remains a major impediment to commercial culture of this species. In order to improve the understanding of larval development and to refine hatchery production techniques, this study was conducted to characterize development and growth of Florida pompano from hatching through metamorphosis by using digital photography and image analysis. Newly hatched larvae were transparent and had a large, elongate yolk sac and single oil globule. The lower and upper jaws as well as the digestive tract were not fully developed at hatching. Rotifers were observed in the stomach of larvae at three days after hatching (DAH), and Artemia spp. were observed in the stomach of larvae at 14 DAH. Growth rates calculated from total length measurements were 0.22 ±0.04, 0.23 ±0.12, and 0.35 ±0.09 mm/d for each of the larval rearing trials. The mouth gape of larvae was 0.266 ±0.075 mm at first feeding and increased with a growth rate of 0.13 ± 0.04 mm/d. Predicted values for optimal prey sizes ranged from 80 to 130 μm at 3 DAH, 160 to 267 μm at 5 DAH, and 454 to 757 μm at 10 DAH. Based on the findings of this study, a refined feeding regime was developed to provide stage- and size-specific guidelines for feeding Florida pompano larvae reared under hatchery con

Imagens de um corpo de mulher: (re)criações na obra de arte de Clarice Lispector e Frida Kahlo

Imagens de um corpo de mulher: (re)criações na obra de arte de Clarice Lispector e Frida Kahlo é uma pesquisa de ordem literária e filosófica, que tem como objetivo encontrar um corpo de mulher através da análise de parte da produção literária de Clarice Lispector e plástica de Frida Kahlo, experimentada também pela pesquisadora no exercício desta escrita acadêmica. Com o método comparativo, esta dissertação propõe apresentar zonas fronteiriças entre a plasticidade e a textualidade, tanto da palavra, quanto da imagem. Tendo como ponto de interseção o corpo, há uma escritora que pinta e uma pintora que escreve: neste duplo deslocamento, vislumbram-se cruzamentos das quais insurgem corporalidades cuja constância é estar em transformação. Nos processos criativos das duas artistas pesquisadas, são tênues os limiares entre vida e arte. Coloca-se em questão o conceito de representação, já há muito tempo em crise, e possibilita o uso do termo (re)criação. No livro Água Viva, de Clarice Lispector, uma personagem-pintora realiza uma metaescrita, discutindo as limitações e os alcances do próprio ato de escrever. Nos quadros de Frida Kahlo, é recorrente a presença de uma figura corpórea marcada por procedimentos cirúrgicos, fruto da condição enferma que acompanhou a artista por toda sua trajetória. Cada uma, a seu modo e a partir de seu próprio corpo vivente, produziu (re)criações que implicam, em suas obras de arte, o leitor e o fruidor, inclusive a pesquisadora. Diante desse panorama, destacam-se os imbricamentos entre a Literatura e a Pintura, assim como entre a Arte e a Filosofia. Este trânsito não só aponta, mas também gera corpos poético-conceituais. A cintilação destes encontros, pois, é o devir aqui estudado um corpo de mulher por vir

Ensaio sobre as imagens. A criação do roteiro de Blindness de Fernando Meireles, adaptado do romance: Ensaio sobre a cegueira de José Saramago para as telas de cinema

A dissertação se propõe a investigar as diferentes formas de estruturas narrativas para o desenvolvimento em um roteiro cinematográfico, adaptado de uma obra literária. Para este trabalho, vamos usar como corpus o romance Ensaio sobre a cegueira de José Saramago que foi adaptado pelo roteirista Don Mckellar, originando o filme dirigido por Fernando Meirelles, em 2008. A finalidade deste recorte é mostrar o processo de construção narrativa no audiovisual, tendo como base o livro. Nessa investigação, o suporte para análise do audiovisual será realizado com conceituados especialistas em roteiros cinematográfico como Linda Hutcheon, Robert Mckee, Jean-Claude Carriére, Flávio de Campos e David Howard. As possibilidades da criação do roteiro seguirão o mote em quatro divisões: narrativa, estrutura, ensaio sobre imagens e da palavra para imagem, procurando responder como a linguagem intervém no sentido da palavra para imagem e como ocorre o conceito de autoria nessa vertente da adaptação. A trama de Ensaio sobre a cegueira, traz elementos clássicos da estrutura dramática e amplia sua dimensão em relação ao conteúdo da estória na roteirização de Don Mckellar. Com esta pesquisa, esperamos contribuir para um melhor entendimento na construção e organização de um roteiro no processo de adaptação em si

A closely integrated digital image capture device for embedded applications

A modular image capture system with close integration to CCD cameras has been developed. The aim is to produce a system capable of integrating CCD sensor, image capture and image processing into a single compact unit. This close integration provides a direct mapping between CCD pixels and digital image pixels. The system has been interfaced to a digital signal processor board for the development and control of image processing tasks. These have included characterization and enhancement of noisy images from an intensified camera and measurement to subpixel resolutions. A highly compact form of the image capture system is in an advanced stage of development. This consists of a single FPGA device and a single VRAM providing a two chip image capturing system capable of being integrated into a CCD camera. A miniature compact PC has been developed using a novel modular interconnection technique, providing a processing unit in a three dimensional format highly suited to integration into a CCD camera unit. Work is under way to interface the compact capture system to the PC using this interconnection technique, combining CCD sensor, image capture and image processing into a single compact unit. ©2005 Copyright SPIE - The International Society for Optical Engineering.

An efficient and robust pitch marking algorithm on the speech waveform for TD-PSOLA

In a Text-to-Speech system based on time-domain techniques that employ pitch-synchronous manipulation of the speech waveforms, one of the most important issues that affect the output quality is the way the analysis points of the speech signal are estimated and the actual points, i.e. the analysis pitchmarks. In this paper we present our methodology for calculating the pitchmarks of a speech waveform, a pitchmark detection algorithm, which after thorough experimentation and in comparison with other algorithms, proves to behave better with our TD-PSOLA-based Text-to-Speech synthesizer (Time- Domain Pitch-Synchronous Overlap Add Text to Speech System).

Improving statistical machine translation by classifying and generalizing inflected verb forms

This paper introduces a rule-based classification of single-word and compound verbs into a statistical machine translation approach. By substituting verb forms by the lemma of their head verb, the data sparseness problem caused by highly-inflected languages can be successfully addressed. On the other hand, the information of seen verb forms can be used to generate new translations for unseen verb forms. Translation results for an English to Spanish task are reported, producing a significant performance improvement.

Phrase linguistic classification and generalization for improving statistical machine translation

In this paper a method to incorporate linguistic information regarding single-word and compound verbs is proposed, as a first step towards an SMT model based on linguistically-classified phrases. By substituting these verb structures by the base form of the head verb, we achieve a better statistical word alignment performance, and are able to better estimate the translation model and generalize to unseen verb forms during translation. Preliminary experiments for the English - Spanish language pair are performed, and future research lines are detailed. © 2005 Association for Computational Linguistics.

Identification of Materials from Construction Site Images Using Content Based Image Retrieval Techniques

The capability to automatically identify shapes, objects and materials from the image content through direct and indirect methodologies has enabled the development of several civil engineering related applications that assist in the design, construction and maintenance of construction projects. Examples include surface cracks detection, assessment of fire-damaged mortar, fatigue evaluation of asphalt mixes, aggregate shape measurements, velocimentry, vehicles detection, pore size distribution in geotextiles, damage detection and others. This capability is a product of the technological breakthroughs in the area of Image and Video Processing that has allowed for the development of a large number of digital imaging applications in all industries ranging from the well established medical diagnostic tools (magnetic resonance imaging, spectroscopy and nuclear medical imaging) to image searching mechanisms (image matching, content based image retrieval). Content based image retrieval techniques can also assist in the automated recognition of materials in construction site images and thus enable the development of reliable methods for image classification and retrieval. The amount of original imaging information produced yearly in the construction industry during the last decade has experienced a tremendous growth. Digital cameras and image databases are gradually replacing traditional photography while owners demand complete site photograph logs and engineers store thousands of images for each project to use in a number of construction management tasks. However, construction companies tend to store images without following any standardized indexing protocols, thus making the manual searching and retrieval a tedious and time-consuming effort. Alternatively, material and object identification techniques can be used for the development of automated, content based, construction site image retrieval methodology. These methods can utilize automatic material or object based indexing to remove the user from the time-consuming and tedious manual classification process. In this paper, a novel material identification methodology is presented. This method utilizes content based image retrieval concepts to match known material samples with material clusters within the image content. The results demonstrate the suitability of this methodology for construction site image retrieval purposes and reveal the capability of existing image processing technologies to accurately identify a wealth of materials from construction site images.