1000 resultados para Sistemas de multiclassificação
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Nowadays, classifying proteins in structural classes, which concerns the inference of patterns in their 3D conformation, is one of the most important open problems in Molecular Biology. The main reason for this is that the function of a protein is intrinsically related to its spatial conformation. However, such conformations are very difficult to be obtained experimentally in laboratory. Thus, this problem has drawn the attention of many researchers in Bioinformatics. Considering the great difference between the number of protein sequences already known and the number of three-dimensional structures determined experimentally, the demand of automated techniques for structural classification of proteins is very high. In this context, computational tools, especially Machine Learning (ML) techniques, have become essential to deal with this problem. In this work, ML techniques are used in the recognition of protein structural classes: Decision Trees, k-Nearest Neighbor, Naive Bayes, Support Vector Machine and Neural Networks. These methods have been chosen because they represent different paradigms of learning and have been widely used in the Bioinfornmatics literature. Aiming to obtain an improvment in the performance of these techniques (individual classifiers), homogeneous (Bagging and Boosting) and heterogeneous (Voting, Stacking and StackingC) multiclassification systems are used. Moreover, since the protein database used in this work presents the problem of imbalanced classes, artificial techniques for class balance (Undersampling Random, Tomek Links, CNN, NCL and OSS) are used to minimize such a problem. In order to evaluate the ML methods, a cross-validation procedure is applied, where the accuracy of the classifiers is measured using the mean of classification error rate, on independent test sets. These means are compared, two by two, by the hypothesis test aiming to evaluate if there is, statistically, a significant difference between them. With respect to the results obtained with the individual classifiers, Support Vector Machine presented the best accuracy. In terms of the multi-classification systems (homogeneous and heterogeneous), they showed, in general, a superior or similar performance when compared to the one achieved by the individual classifiers used - especially Boosting with Decision Tree and the StackingC with Linear Regression as meta classifier. The Voting method, despite of its simplicity, has shown to be adequate for solving the problem presented in this work. The techniques for class balance, on the other hand, have not produced a significant improvement in the global classification error. Nevertheless, the use of such techniques did improve the classification error for the minority class. In this context, the NCL technique has shown to be more appropriated
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Equipment maintenance is the major cost factor in industrial plants, it is very important the development of fault predict techniques. Three-phase induction motors are key electrical equipments used in industrial applications mainly because presents low cost and large robustness, however, it isn t protected from other fault types such as shorted winding and broken bars. Several acquisition ways, processing and signal analysis are applied to improve its diagnosis. More efficient techniques use current sensors and its signature analysis. In this dissertation, starting of these sensors, it is to make signal analysis through Park s vector that provides a good visualization capability. Faults data acquisition is an arduous task; in this way, it is developed a methodology for data base construction. Park s transformer is applied into stationary reference for machine modeling of the machine s differential equations solution. Faults detection needs a detailed analysis of variables and its influences that becomes the diagnosis more complex. The tasks of pattern recognition allow that systems are automatically generated, based in patterns and data concepts, in the majority cases undetectable for specialists, helping decision tasks. Classifiers algorithms with diverse learning paradigms: k-Neighborhood, Neural Networks, Decision Trees and Naïves Bayes are used to patterns recognition of machines faults. Multi-classifier systems are used to improve classification errors. It inspected the algorithms homogeneous: Bagging and Boosting and heterogeneous: Vote, Stacking and Stacking C. Results present the effectiveness of constructed model to faults modeling, such as the possibility of using multi-classifiers algorithm on faults classification
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This study focus on the reconfiguration of educational management in Argentina, Brazil, Chile and Mexico, which was promoted by the new logic of social regulation and the new role attributed to the State, considering each country's own historicity. So, the cultural factors that interfere on the dynamics of the 90' school reform are analyzed. Aspects that show the homogeneity or heterogeneity of these reforms in the region, as well as local specificities that block out the concretization of the reform are underlined. It is shown that the historicity that characterizes the educational reform has taken, in each country, a form that can be called, in Mexico, conservative rupture; in Chile, conservative continuity; in Brazil, conservative renovation; and, in Argentina, interrupted rupture. Some conclusions about the impact of educational reform in the selected countries are recuperated through the analysis of 186 academic texts on the subject.
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By the year 2005 the world biochemical market will reach an estimated $ 100 billion and separation processes are a vital link between lab discoveries and the fulfillment of this commercialization potential. The practical application of aqueous two-phase systems (ATPS) to extraction processes has been exploited for several years for the recovery of biological products. Unfortunately, this has not resulted in an extensive presence of the technique in commercial processes. In this paper a critical overview of the fundamental thermodynamic properties related to formation of aqueous two-phase systems and their application to extraction and purification of bioparticules is presented.
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One of the main referring subjects to the solar energy is how to compare it economically with other sources of energy, as much alternatives as with conventionals (like the electric grid). The purpose of this work was to develop a software which congregates the technical and economic main data to identify, through methods of microeconomic analysis, the commercial viability in the sizing of photovoltaic systems, besides considering the benefits proceeding from the proper energy generation. Considering the period of useful life of the components of the generation system of photovoltaic electricity, the costs of the energy proceeding from the conventional grid had been identified. For the comparison of the conventional sources, electric grid and diesel generation, three scenes of costs of photovoltaic panels and two for the factor of availability of diesel generation had been used. The results have shown that if the cost of the panels is low and the place of installation is more distant of the electric grid, the photovoltaic system becomes the best option.
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A trial was carried out to evaluate the chemical composition in the aerial part of lettuce, cv. 'Elisa', irrigated with wastewater treated with constructed wetland and source deposit water, grown on a Rhodic Hapludox Soil, using the irrigation systems sprinkle, subsurface drip and surface drip irrigation. The experiment was carried out from August 17th to October 3rd of 2001 and the chemical analyses of the lettuce were accomplished to 47 days after transplanting of the seedling. The aerial part of the lettuce was analyzed as for the levels of total nitrogen, nitrate, phosphorus, potassium, calcium, magnesium, sulfur, iron, manganese, copper, zinc, sodium, boron, cobalt and molybdenum. The sodium and the sulfur presented higher levels than the maximum suitable in the aerial part of the lettuce and the smallest level of magnesium, while other chemical elements analyzed were normal and appropriate considering the standard for well-nourished plants, not being influenced by the water type. The sodium was the chemical element that presented the highest levels in the aerial part of the lettuce in the treatments irrigated with wastewater, presenting significant difference in relationship to the treatments irrigated with source deposit water in the three irrigation systems. The use of the different irrigation systems by the application of wastewater treated with constructed wetland did not interfere in the levels of nutrients in the aerial part of the lettuce.
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Among the important changes in the production processes, it is necessary to guarantee the sustainability of the human enterprises, what makes us to foresee changes in the managerial administration to adapt to a new model, with the insert of the concepts of Clean Production, Cleaner, Lean and Total Productive Maintenance (TPM). The main focus of this work was to elaborate a methodology that made it possible to guarantee the reliability in the waterworks of the sugarcane harvester, identifying and analyzing the manners of flaws, in order to result in the improvement of the environmental and socioeconomic quality in the atmosphere of an industry of sugarcane through the significant decrease of hydraulic oil spill. Through the existent report in ERP (Enterprise Resource Planning), used in a Sugarcane Industry Plant, it was possible to accompany of the operational acting of the sugarcane harvester used during 03 crops, regarding the manners of flaws in the waterworks of the same ones, and, in one of the crops it was elaborated the total control of the waterworks of 5 harvesters. Based on the obtained data and the developed methodology it was possible to develop a software that specifies the electric outlet of decisions.
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Universidade Estadual de Campinas . Faculdade de Educação Física
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Informações a respeito de cultivares adaptadas ao sistema de cultivo orgânico são escassas. O objetivo deste estudo foi avaliar, sob sistema de cultivo orgânico, genótipos nacionais e estrangeiros desenvolvidos para o cultivo convencional, quanto ao potencial produtivo, em condições de campo. O experimento foi conduzido em 2008, no Pólo APTA Leste Paulista, em Monte Alegre do Sul-SP. O delineamento experimental foi em blocos ao acaso, com 18 tratamentos e quatro repetições. Cada parcela foi constituída por 80 batatas-semente, dispostas em quatro linhas de 5 m de comprimento, espaçadas de 80 cm, com 25 cm entre tubérculos. Os genótipos avaliados foram Agata, Asterix, Caesar, Cupido, Éden, Melody, Novella e Vivaldi, de origem estrangeira; e Apuã, Aracy, Catucha, IAC Aracy Ruiva, Itararé, Monte Alegre 172, IAC 6090, APTA 16.5, APTA 15.20 e APTA 21.54, nacionais. Foram avaliadas as características de produtividade total e comercial de tubérculos, massa média total e comercial de tubérculos, teor de matéria seca e severidade da pinta-preta (Alternaria solani). Os clones APTA 16.5, APTA 21.54 e IAC 6090, e as cultivares Cupido, Apuã, Itararé e Monte Alegre 172 foram os mais produtivos. 'APTA 21.54' superou os demais em relação a produtividade comercial (18,07 t ha-1), sendo que 'APTA 16.5', 'Cupido', 'IAC 6090' e 'Itararé' formaram o segundo grupo. As maiores massas médias de tubérculos foram apresentadas pelas cultivares Itararé e Cupido. O clone IAC 6090 e as cultivares Aracy e Aracy Ruiva foram as que apresentaram maiores teores de matéria seca, com valor médio de 22,91%. 'APTA 16.5', 'Apuã', 'Aracy', 'Aracy Ruiva', 'Éden', 'Ibituaçú' e 'Monte Alegre 172' apresentaram alto nível de resistência à pinta-preta. As cultivares Itararé, Apuã e Cupido são adaptadas ao cultivo orgânico, e os clones avançados APTA 16.5, APTA 21.54 e IAC 6090 apresentam potencial de cultivo no sistema orgânico.
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Foram analisadas características da precipitação estimada a partir de 145.194 campos de refletividade, de um total de 827 dias entre 1998 e 2003, obtidos do Radar Meteorológico de São Paulo (RSP). Os eventos foram classificados de acordo com intensidades de precipitação; em Convectivos (EC) e Estratiformes (EE). Quanto à morfologia, cinco tipos de sistemas foram identificados; Convecção Isolada (CI), Brisa Marítima (BM), Linhas de Instabilidade (LI), Bandas Dispersas (BD) e Frentes Frias (FF). Eventos convectivos dominam na primavera e verão e estratiformes no outono e inverno. A CI e a BM tiveram maiores picos de atuação entre outubro e março enquanto as FF de abril a setembro. BD atuam durante todo o ano e as LI só não foram observadas nos meses de junho e julho. Uma comparação pontual entre a precipitação medida pela telemetria e estimada com o radar foi realizada e, mostrou haver, na maioria dos casos, um viés positivo do RSP, para acumulações de 10, 30 e 60 minutos. Com o objetivo de integrar as estimativas de precipitação do radar com as medidas da rede telemétrica, por meio de uma análise objetiva estatística, foram obtidas dos campos de precipitação do radar as estruturas das correlações espaciais em função da distância para acumulações de chuva de 15, 30, 60 e 120 minutos para os cinco tipos de sistemas precipitantes que foram caracterizados. As curvas das correlações espaciais médias de todos os eventos de precipitação de cada sistema foram ajustadas por funções polinomiais de sexta ordem. Os resultados indicam diferenças significativas na estrutura espacial das correlações entre os sistemas precipitantes.
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The aim of this review is to present and discuss the applications of ultrasound in electrochemical systems such as in sonoelectroanalysis and sonoelectrolysis for the electrochemical combustion of organic compounds. Initially, theoretical and experimental aspects are discussed, particularly those related to the enhancement of mass transport and the surface cleaning effects. Some results are included to illustrate alternative geometries for the experimental measurements and the working electrodes used in these systems. In the sequence, the available publications are presented and discussed to demonstrate that ultrasound combined with electrochemical techniques is a powerful set-up for the detection of analytes such as metals and/or organic compounds in hostile media and for the effective destruction of toxic organic substances. At the end, a table summarizes the results already published in the literature.
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This work focus on the influence of solvent on the photophysical properties of chlorophyll α and pheophytin. Both compounds are related to the photosynthesis process and are considered prototypes of photosensitizers in Photodynamic Therapy. Fluorescence measurements were developed using water/ethanol mixtures at different compositions, since both solvents could be employed in biological applications. The spectroscopic properties of these compounds undergo profound changes depending on water content in the ethanol due to auto-aggregation processes. The major hydrophobicity and the lower dielectric constant of ethanol when compared with water precluded significantly the auto-aggregation process of these compounds.
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OBJETIVO: Desenvolver método para planejamento e avaliação de campanhas de vacinação contra a raiva animal. MÉTODOS: O desenvolvimento da metodologia baseou-se em sistemas de informação geográfica para estimar a população e a densidade animal (canina e felina) por setores censitários e subprefeituras do município de São Paulo, em 2002. O número de postos de vacinação foi estimado para atingir uma dada cobertura vacinal. Foram utilizadas uma base de dados censitários para a população humana, e estimativas para razões cão:habitante e gato:habitante. RESULTADOS: Os números estimados foram de 1.490.500 cães e 226.954 gatos em São Paulo, uma densidade populacional de 1.138,14 animais domiciliados por km². Foram vacinados, na campanha de 2002, 926.462 animais, garantindo uma cobertura vacinal de 54%. O número total estimado de postos no município para atingir uma cobertura vacinal de 70%, vacinando em média 700 animais por posto foi de 1.729. Estas estimativas foram apresentadas em mapas de densidade animal, segundo setores censitários e subprefeituras. CONCLUSÕES: A metodologia desenvolvida pode ser aplicada de forma sistemática no planejamento e no acompanhamento das campanhas de vacinação contra a raiva, permitindo que sejam identificadas áreas de cobertura vacinal crítica.
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Avaliaram-se as características de carcaça de ovelhas de descarte das raças Ideal e Texel terminadas em dois sistemas de alimentação. Utilizaram-se 20 ovelhas (10 da raça Ideal e 10 da raça Texel) aleatoriamente distribuídas de acordo com o grupo genético em dois manejos alimentares (confinamento e pastagem cultivada). Os abates foram realizados quando os animais atingiram 3,5 pontos de condição corporal. Os pesos de carcaça quente (PCQ) e de carcaça fria (PCF) e os rendimentos de carcaça quente (RCQ) e de carcaça fria (RCF) das ovelhas Texel foram maiores que os das ovelhas Ideal: 27,85 e 19,04 kg; 27,08 e 18,43 kg; 47,25 e 45,20% e 45,95 e 43,72%, respectivamente. O peso dos cortes perna, paleta, pescoço e costela e os pesos de músculos, ossos e gordura da perna dos animais da raça Texel foram superiores aos obtidos na raça Ideal. Quando avaliadas em porcentagem do peso corporal, no entanto, essas características não diferiram entre as duas raças. O manejo alimentar não influenciou as características de carcaça de ovelhas de descarte. Ovelhas Texel apresentam cortes maiores que os de ovelhas Ideal.
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São apresentadas diferentes experiências e metodologias empregadas por registros informatizados de imunização (RII), no enfoque da saúde infantil. O levantamento bibliográfico abrangeu publicações de 1990 a 2006, existentes nas bases MEDLINE, SciELO, PubMed e EMBASE. Outros sítios eletrônicos de organizações nacionais e internacionais de saúde foram pesquisados. Em virtude da ausência de publicações sobre RII no Brasil, as fontes de informação foram a Coordenação Nacional e as Coordenações Estaduais do Programa Nacional de Imunizações, além do Departamento de Informática do Sistema Único de Saúde. Selecionaram-se apenas artigos que abordam RII em saúde infantil. Foram localizados 109 artigos publicados em 35 revistas especializadas. São apresentados aspectos históricos e conceituais, objetivos, funções, relevância e indicadores de desempenho e de custo-efetividade, além das próprias limitações dos RII, assim como experiências em países selecionados, inclusive no Brasil. Os RII integrados a outros sistemas de informação vêm sendo aplicados como importante instrumento para a identificação de populações com menor acesso ou adesão aos programas de vacinação e em sistemas de vigilância ativa de eventos adversos pós-vacina