The cross-entropy method and its application to minimize the ripple of magnetic levitation forces of a maglev system

This paper explores firstly the potential of a new evolutionary method - the Cross-Entropy (CE) method in solving continuous inverse electromagnetic problems. For this purpose, an adaptive updating formula for the smoothing parameter, some mutation operation, and a new termination criterion are proposed. The proposed CE based metaheuristics is applied to reduce the ripple of the magnetic levitation forces of a prototype Maglev system. The numerical results have shown that the ripple of the magnetic levitation forces of the prototype system is reduced significantly after the design optimization using the proposed algorithm.

Guia de endereços eletrônicos para o estudo de cardiologia

OBJETIVO: Ampliar os recursos didáticos para estudantes de medicina, médicos e profissionais da área da saúde, estimulando o uso da Internet para fins acadêmicos ou de reciclagem em cardiologia. MÉTODO: Pesquisados e selecionados endereços eletrônicos com conteúdo acadêmico nas áreas da anatomia, biofísica, fisiologia, semiologia, eletrocardiografia e diagnóstico por imagem, com critérios de seleção, incluíndo relevância do conteúdo, clareza na apresentação e riqueza em recursos de animação e, os sites obtidos, classificados quanto ao conteúdo e nível acadêmico. RESULTADOS: Obtidos 5 sites de anatomia e anatomia patológica, 1 de biofísica, 3 de fisiologia, 8 de semiologia, 7 de diagnóstico por imagem e 2 de eletrocardiografia. Como alternativa de acesso, os sites também foram organizados de acordo com o nível acadêmico. O conjunto de endereços resultou em um guia simplificado e hierarquizado de conteúdos para o estudo da morfologia cardíaca e do diagnóstico por imagem em cardiologia. CONCLUSÃO: O roteiro obtido é um exemplo do potencial da Internet como instrumento de aprendizagem, a ser utilizado em associação com outros métodos pedagógicos convencionais.

Passagem transplacentária e efeitos embriofetais de drogas usadas em anestesia

JUSTIFICATIVA E OBJETIVOS: A anestesia da paciente grávida engloba situações diversas e que devem ser analisadas com muita propriedade. Além da exposição do feto e de uma possível ação tóxica dos agentes a serem utilizados na anestesia, devem ser considerados o período gestacional, as características de cada droga e as doses a serem utilizadas. A falta de informações adequadas sobre o risco do uso de drogas na gestação torna difícil ao anestesiologista uma opção segura quando se vê diante da necessidade de anestesiar uma paciente grávida, tanto para cirurgia não obstétrica, como em cirurgia obstétrica. No primeiro caso, é importante evitar o parto prematuro (ou o aborto) e o aparecimento de alterações permanentes no feto. No segundo caso, não deve haver interferência na contratilidade uterina nem depressão significativa no feto. A finalidade desta revisão é atualizar os conhecimentos sobre a passagem transplacentária e os efeitos maternofetais das drogas usadas em anestesia. CONTEÚDO: São revisados os mecanismos de passagem transplacentária de drogas, os princípios fundamentais de embriofetotoxicidade e analisados alguns aspectos importantes sobre efeitos embriofetais das drogas utilizadas na anestesia. Também é apresentada a classificação de risco teratogênico, de acordo com o FDA, das drogas que o anestesiologista mais utiliza durante o ato anestésico. CONCLUSÕES: Embora ainda persistam muitas dúvidas em relação à escolha de drogas para a anestesia de pacientes grávidas, o anestesiologista dispõe hoje de novas drogas e de informações que lhe permitem oferecer maior segurança para o binômio mãe-feto.

Síndrome dolorosa complexa regional: epidemiologia, fisiopatologia, manifestações clínicas, testes diagnósticos e propostas terapêuticas

JUSTIFICATIVA E OBJETIVOS: A Síndrome Dolorosa Complexa Regional (SDCR), assim denominada a partir de 1994 pelo Consenso da Associação Internacional para o Estudo da Dor (AIED) e anteriormente denominada de várias formas, tais como Distrofia Simpático Reflexa, Causalgia, Algodistrofia ou Atrofia de Sudeck, é uma doença cuja compreensão dos limites clínicos, fisiopatologia e implicações de patogenia ainda é pobre. Disto resulta a enorme insatisfação não só para os pacientes como para os profissionais da saúde quanto aos métodos terapêuticos atualmente disponíveis. O objetivo deste trabalho é rever a literatura e atualizar um conjunto de informações com o intuito da melhor compreensão desta importante síndrome dolorosa. CONTEÚDO: Este é um trabalho de revisão da literatura nos diversos aspectos da SDCR, com ênfase em suas causas, definição e taxonomia, fisiopatologia, características clínicas, testes diagnósticos e propostas de tratamentos mais recentes. CONCLUSÕES: Poucos são os estudos controlados adequadamente, encobertos e aleatórios, publicados com grandes amostras, havendo muitas dúvidas sobre esta doença. Desta forma, ainda há enorme empirismo na sua terapêutica, e os resultados obtidos são insatisfatórios.

Some particularities of dam rehabilitation projects

The number of dams, which need rehabilitation, is growing, not only in countries that have a long tradition in dam building and operation but,also in those regions where the infrastructure is still in full development. Though rehabilitation projects generally deal with problems that are common in dam engineering practice there are some peculiarities which are a characteristic of such projects and which must be duly taken into account to avoid unsuccess and/or unnecessary costs. Regular safety inspection is essential to forestall the development of structural, hydrological and operational unsafety. if need of major repair or overall rehabilitation of a dam becomes apparent design oft he rehabilitation project must be preceded by a comprehensive checkup of the structure and appurtenant works, as well as by an evaluation of its hydrological safety inclusive of all relevant environmental aspects. The availability of complete records on the clam's structural behaviour and on meteorological and hydrological data, as well as the knowledge of the materials properties of the existing structure are important for the successful design of a rehabilitation project. To this end the installation of monitoring devices in the existing structure may be necessary to generate representative data. While the criteria to be used in structural design should correspond to current standards, the definition of hydrological design criteria depends on considerations that vary widely from region to region or even from one country to another. Some basic hydrological safety requirements, however, are recommended for general acceptance. Dam rehabilitation projects demand very careful and detailed construction planning because of their dependence on river flow conditions, operational restrictions and, often, on procedures or limitations imposed to avoid harm to the environment. of utmost importance is the timely availability of the financial funds required to complete the project, in order to avoid delays which could result in structural or operational unsafety. Since every dam sooner or later will have to undergo major repair or updating of safety, rehabilitation may evolve to a speciality of dam engineering.

Rotor support stiffness estimation by sensitivity analysis

In the present work, a method for rotor support stiffness estimation via a model updating process using the sensitivity analysis is presented. This method consists in using the eigenvalues sensitivity analysis, relating to the rotor support stiffnesses variation to perform the adjustment of the model based on the minimization of the difference between eigenvalues of reference and eigenvalues obtained via mathematical model from previously adopted support bearing stiffness values. The mathematical model is developed by the finite element method and the method of adjustment should converge employing an iterative process. The performance and robustness of the method have been analyzed through a numerical example.

Primal-dual logarithmic barrier and augmented Lagrangian function to the loss minimization in power systems

This article presents a new approach to minimize the losses in electrical power systems. This approach considers the application of the primal-dual logarithmic barrier method to voltage magnitude and tap-changing transformer variables, and the other inequality constraints are treated by augmented Lagrangian method. The Lagrangian function aggregates all the constraints. The first-order necessary conditions are reached by Newton's method, and by updating the dual variables and penalty factors. Test results are presented to show the good performance of this approach.

A W-matrix methodology for solving sparse network equations on multiprocessor computers

This paper describes a methodology for solving efficiently the sparse network equations on multiprocessor computers. The methodology is based on the matrix inverse factors (W-matrix) approach to the direct solution phase of A(x) = b systems. A partitioning scheme of W-matrix , based on the leaf-nodes of the factorization path tree, is proposed. The methodology allows the performance of all the updating operations on vector b in parallel, within each partition, using a row-oriented processing. The approach takes advantage of the processing power of the individual processors. Performance results are presented and discussed.

A new implementation of population based incremental learning method for optimizations in electromagnetics

To enhance the global search ability of population based incremental learning (PBIL) methods, it is proposed that multiple probability vectors are to be included on available PBIL algorithms. The strategy for updating those probability vectors and the negative learning and mutation operators are thus re-defined correspondingly. Moreover, to strike the best tradeoff between exploration and exploitation searches, an adaptive updating strategy for the learning rate is designed. Numerical examples are reported to demonstrate the pros and cons of the newly implemented algorithm.

Georeferenced road extraction and formulation of hypotheses for new road segments

The acquisition and update of Geographic Information System (GIS) data are typically carried out using aerial or satellite imagery. Since new roads are usually linked to georeferenced pre-existing road network, the extraction of pre-existing road segments may provide good hypotheses for the updating process. This paper addresses the problem of extracting georeferenced roads from images and formulating hypotheses for the presence of new road segments. Our approach proceeds in three steps. First, salient points are identified and measured along roads from a map or GIS database by an operator or an automatic tool. These salient points are then projected onto the image-space and errors inherent in this process are calculated. In the second step, the georeferenced roads are extracted from the image using a dynamic programming (DP) algorithm. The projected salient points and corresponding error estimates are used as input for this extraction process. Finally, the road center axes extracted in the previous step are analyzed to identify potential new segments attached to the extracted, pre-existing one. This analysis is performed using a combination of edge-based and correlation-based algorithms. In this paper we present our approach and early implementation results.

Semi-automatic modeling of buildings from digital surface models

Semi-automatic building detection and extraction is a topic of growing interest due to its potential application in such areas as cadastral information systems, cartographic revision, and GIS. One of the existing strategies for building extraction is to use a digital surface model (DSM) represented by a cloud of known points on a visible surface, and comprising features such as trees or buildings. Conventional surface modeling using stereo-matching techniques has its drawbacks, the most obvious being the effect of building height on perspective, shadows, and occlusions. The laser scanner, a recently developed technological tool, can collect accurate DSMs with high spatial frequency. This paper presents a methodology for semi-automatic modeling of buildings which combines a region-growing algorithm with line-detection methods applied over the DSM.

Modified barrier method for optimal power flow problem

In this paper is presented a new approach for optimal power flow problem. This approach is based on the modified barrier function and the primal-dual logarithmic barrier method. A Lagrangian function is associated with the modified problem. The first-order necessary conditions for optimality are fulfilled by Newton's method, and by updating the barrier terms. The effectiveness of the proposed approach has been examined by solving the Brazilian 53-bus, IEEE118-bus and IEEE162-bus systems.

Detecção de pistas de aeroporto em imagens orbitais utilizando morfologia matemática

The Brazilian Cartography presents great deficiency in cartographic products updating. This form, Remote Sensins techniques together Digital Processing Images - DPI, are contributing to improve this problem. The Mathematical Morphology theory was used in this work. The principal function was the pruning operator. With its were extracted the interest features that can be used in cartographic process updating. The obtained results are positives and showed the use potential of mathematical morphology theory in cartography, mainly in updating.

Inibidores da HIV-integrase: Potencial abordagem farmacológica para tratamento da AIDS

AIDS has the HIV as its etiological agent. Researches has been done to find new pharmacological agents to be used in therapy, because of problems of resistance and side effects. The HIV-integrase inhibitors are some of those new agents that are being studied. This updating focusses on the fundamental information about HIV and HIV-integrase and the main methods being used to develop these new drugs, with examples for each case.

A new implementation of Population Based Incremental Learning method for optimization studies in electromagnetics

To enhance the global search ability of Population Based Incremental Learning (PBIL) methods, It Is proposed that multiple probability vectors are to be Included on available PBIL algorithms. As a result, the strategy for updating those probability vectors and the negative learning and mutation operators are redefined as reported. Numerical examples are reported to demonstrate the pros and cons of the newly Implemented algorithm. ©2006 IEEE.