Sexo, peso e conformação anatômica do olho sobre cálculode poder dióptrico de lentes intra-oculares no cão

A catarata, especialmente na espécie canina, é uma doença oftálmica importante. Seu tratamento é eminentemente cirúrgico, mas a perda do cristalino resulta em alta hipermetropia, e a visão fica comprometida. A correção pode ser feita com a utilização de lente intra-ocular (LIO). Este estudo teve por objetivo colher dados que pudessem fornecer subsídios métricos para a produção de LIOs a serem aplicadas em cães facectomizados, visando a restauração de visão adequada nos animais acometidos por catarata. Foram selecionados 120 cães de ambos os sexos, sadios ao exame clínico e sem evidência de doença ocular ao exame oftálmico de rotina. Foram realizados estudos ceratométrico e biométrico, pela ultra-sonografia modo-A. Uma fórmula específica foi utilizada para a determinação do poder dióptrico de uma LIO utilizada para substituir o cristalino extraído. O poder dióptrico da LIO foi correlacionado com o peso e o sexo dos animais, e entre os olhos direito e esquerdo. Baseado nestas correlações, concluiu-se que o poder dióptrico adequado para uma LIO a ser implantada em um cão facectomizado é influenciado principalmente pelo peso do animal, apesar de apresentar discretas diferenças quando comparado entre os olhos direito e esquerdo e entre machos e fêmeas.

On the efficacy of texture analysis for crowd monitoring

The goal of this work is to assess the efficacy of texture measures for estimating levels of crowd densities ill images. This estimation is crucial for the problem of crowd monitoring. and control. The assessment is carried out oil a set of nearly 300 real images captured from Liverpool Street Train Station. London, UK using texture measures extracted from the images through the following four different methods: gray level dependence matrices, straight lille segments. Fourier analysis. and fractal dimensions. The estimations of dowel densities are given in terms of the classification of the input images ill five classes of densities (very low, low. moderate. high and very high). Three types of classifiers are used: neural (implemented according to the Kohonen model). Bayesian. and an approach based on fitting functions. The results obtained by these three classifiers. using the four texture measures. allowed the conclusion that, for the problem of crowd density estimation. texture analysis is very effective.

Síndrome glaucomatosa em cães: parte 1

O glaucoma é uma doença grave que acomete humanos e animais, levando à degeneração de estruturas nervosas e à perda progressiva da visão. Vários eventos estão relacionados à fisiopatologia do glaucoma, como o aumento da pressão intra-ocular, o aumento nos níveis de glutamato intra-celular e a diminuição do fluxo axoplasmático. Fármacos recentemente disponíveis no mercado, aliados às novas técnicas cirúrgicas, suscitam perspectivas mais eficazes para o controle do glaucoma e aq preservação da visão.

Implantação de sistemas de gestão ambiental ISO 14001: uma contribuição da área de gestão de pessoas

Os sistemas certificáveis de gestão ambiental, como a norma ISO 14001, têm sido uma opção cada vez mais utilizada pelas organizações para equacionarem suas demandas ambientais, padronizarem seu processo produtivo, reduzirem custos de produção e melhorarem sua imagem. Entretanto, seu processo de implantação em indústrias gera mudanças significativas na cultura e estrutura destas empresas e devem ser devidamente consideradas por gestores e consultores. Pelo exposto, o principal objetivo deste artigo é apresentar práticas, sistematizadas à luz da teoria com especial contribuição da área de gestão de pessoas e com base em dois estudos de caso, para implantação de sistemas de gestão ambiental ISO 14001 em empresas industriais. Para tanto, foram realizados dois estudos de caso: um em uma empresa de baterias automotivas e outro em uma empresa moveleira. Os dados foram coletados a partir de entrevistas semiestruturadas com os gestores diretamente responsáveis por estes sistemas e com colaboradores-chave, observação in loco e análise de documentos. Ao final do artigo são apresentadas sugestões de práticas relacionadas aos seguintes elementos: alta direção, gestão de pessoas, comitê de gestão ambiental, missão e políticas, treinamento e comunicação.

Pattern recognition theory in nonlinear signal processing

A body of research has developed within the context of nonlinear signal and image processing that deals with the automatic, statistical design of digital window-based filters. Based on pairs of ideal and observed signals, a filter is designed in an effort to minimize the error between the ideal and filtered signals. The goodness of an optimal filter depends on the relation between the ideal and observed signals, but the goodness of a designed filter also depends on the amount of sample data from which it is designed. In order to lessen the design cost, a filter is often chosen from a given class of filters, thereby constraining the optimization and increasing the error of the optimal filter. To a great extent, the problem of filter design concerns striking the correct balance between the degree of constraint and the design cost. From a different perspective and in a different context, the problem of constraint versus sample size has been a major focus of study within the theory of pattern recognition. This paper discusses the design problem for nonlinear signal processing, shows how the issue naturally transitions into pattern recognition, and then provides a review of salient related pattern-recognition theory. In particular, it discusses classification rules, constrained classification, the Vapnik-Chervonenkis theory, and implications of that theory for morphological classifiers and neural networks. The paper closes by discussing some design approaches developed for nonlinear signal processing, and how the nature of these naturally lead to a decomposition of the error of a designed filter into a sum of the following components: the Bayes error of the unconstrained optimal filter, the cost of constraint, the cost of reducing complexity by compressing the original signal distribution, the design cost, and the contribution of prior knowledge to a decrease in the error. The main purpose of the paper is to present fundamental principles of pattern recognition theory within the framework of active research in nonlinear signal processing.

Single-exposure, photorefractive holographic surface contouring with multiwavelength diode lasers

We studied the use of multiwavelength diode lasers for surface profilometry through holographic recording in sillenite Bi(12)TiO(20) crystals. When such lasers are used, the holographic image from single-exposure recordings appears covered with interference fringes providing information on the surface relief of the object. By taking advantage of the narrow interference fringes due to the multiwavelength emission of the laser, we obtained interferograms by holographic recording with two reference beams, which improves the surface analysis by visual inspection and enhances the profilometry sensitivity. (c) 2005 Optical Society of America.

Automatic absolute orientation of scanned aerial photographs

Image orientation is a basic problem in Digital Photogrammetry. While interior and relative orientations were succesfully automated, the same can not be said about absolute orientation. This process can be automated by using an approach based on relational matching and a heuristic that uses the analytical relation between straight features in the object space and its homologous in the image space. A build-in self-diagnosis is also used in this method, that is based on the implementation of data snooping statistic test in the process of spatial resection, using the Iterated Extended Kalman Filtering (IEKF). The aim of this paper is to present the basic principles of the proposed approach and results based on real data.

Accuracy assessment of a photogrammetric close-range reconstruction system

Geometric accuracy of a close-range photogrammetric system is assessed in this paper considering surface reconstruction with structured light as its main purpose. The system is based on an off-the-shelf digital camera and a pattern projector. The mathematical model for reconstruction is based on the parametric equation of the projected straight line combined with collinearity equations. A sequential approach for system calibration was developed and is presented. Results obtained from real data are also presented and discussed. Experiments with real data using a prototype have indicated 0.5mm of accuracy in height determination and 0.2mm in the XY plane considering an application where the object was 1630mm distant from the camera.

In-process thermal damage detection in grinding with monitoring via Internet

This work aims the development of a dedicated system for detection of burning in surface grinding process, where the process will constantly be monitored through the acoustic emission and electric power of the induction motor drive. Acquired by an analog-digital converter, algorithms process the signals and a control signal is generated to inform the operator or interrupt the process in case of burning occurrence. Moreover, the system makes possible the process monitoring via Internet. Additionally, a comparative study between parameters DPO and FKS is carried through. In the experimental work one type of. steel (ABNT-1020 annealed) and one type of grinding wheel referred to as TARGA, model ART 3TG80.3 NVHB, were employed.

Control of thermal damage in grinding by digital signal processing of raw acoustic emission

Grinding process is usually the last finishing process of a precision component in the manufacturing industries. This process is utilized for manufacturing parts of different materials, so it demands results such as low roughness, dimensional and shape error control, optimum tool-life, with minimum cost and time. Damages on the parts are very expensive since the previous processes and the grinding itself are useless when the part is damaged in this stage. This work aims to investigate the efficiency of digital signal processing tools of acoustic emission signals in order to detect thermal damages in grinding process. To accomplish such a goal, an experimental work was carried out for 15 runs in a surface grinding machine operating with an aluminum oxide grinding wheel and ABNT 1045 e VC131 steels. The acoustic emission signals were acquired from a fixed sensor placed on the workpiece holder. A high sampling rate acquisition system at 2.5 MHz was used to collect the raw acoustic emission instead of root mean square value usually employed. In each test AE data was analyzed off-line, with results compared to inspection of each workpiece for burn and other metallurgical anomaly. A number of statistical signal processing tools have been evaluated.

Phase constraint for the waves diffracted by lossless symmetrical gratings at Littrow mount

The energy conservation of grating diffraction is analyzed in a particular condition of incidence in which two incident waves reach a symmetrical grating from the two sides of the grating normal at the first-order Littrow mounting. In such a situation the incident waves generate an interference pattern with the same period as the grating. Thus in each direction of diffraction, interference occurs between two consecutive diffractive orders of the symmetrical incident waves. By applying only energy conservation and the geometrical symmetry of the grating profile to this problem it is possible to establish a general constraint for the phases and amplitudes of the diffracted orders of the same incident wave. Experimental and theoretical results are presented confirming the obtained relations. © 2006 Optical Society of America.

Automatic visual dictionary generation through Optimum-Path Forest clustering

Image categorization by means of bag of visual words has received increasing attention by the image processing and vision communities in the last years. In these approaches, each image is represented by invariant points of interest which are mapped to a Hilbert Space representing a visual dictionary which aims at comprising the most discriminative features in a set of images. Notwithstanding, the main problem of such approaches is to find a compact and representative dictionary. Finding such representative dictionary automatically with no user intervention is an even more difficult task. In this paper, we propose a method to automatically find such dictionary by employing a recent developed graph-based clustering algorithm called Optimum-Path Forest, which does not make any assumption about the visual dictionary's size and is more efficient and effective than the state-of-the-art techniques used for dictionary generation. © 2012 IEEE.

Análise, desenvolvimento e implantação de software para monitorização, controle e gerenciamento dos processos na condução de estudos clínicos em cancerologia

Pós-graduação em Pesquisa e Desenvolvimento (Biotecnologia Médica) - FMB

Sensibilidade: o percurso do aprender corporal

Pós-graduação em Ciências da Motricidade - IBRC

Achados audiológicos pós-doenças infecciosas em crianças matriculadas em um centro especializado nos distúrbios da audição

Pós-graduação em Pediatria - FMB