900 resultados para Banco de dados - genética da população humana


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Objetivou-se com este estudo comparar a seleção com base no ganho médio diário de peso na pré-desmama (GMD) e no número de dias para ganhar 160 kg nessa fase (D160), com e sem correção para efeitos de grupos de contemporâneos (GC), em bovinos da raça Guzerá. Utilizou-se o banco de dados de desenvolvimento ponderal da Associação Brasileira de Criadores de Zebu (ABCZ) para esta raça. A obtenção dos parâmetros e valores genéticos foi feita pelo método da máxima verossimilhança restrita utilizando-se modelo unicaracterístico com equações de modelos mistos. O modelo utilizado foi composto pelo efeito fixo de grupo genético e pelos efeitos aleatórios, genético aditivo direto e de ambiente permanente, além do erro residual. A média para D160 foi de 270,5 dias e para GMD, 642,3 g. As correlações de Spearman entre ganho médio diário e a precocidade em dias para ganhar 160 kg na pré-desmama (PD160), e GMD e PD160c (PD160 corrigido para o efeito de grupo de contemporâneo), foram iguais a 0,91 e 0,94, respectivamente. A seleção para PD160 favorece touros que produzem progênie com desempenho superior e menos variável e a padronização deste critério com base no grupo de contemporâneos melhorou sua eficiência. A classificação dos touros varia de acordo com o critério de seleção utilizado, GMD ou PD160, principalmente nos extremos, onde ocorrem seleção e descarte de reprodutores.

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The need to implement a software architecture that promotes the development of a SCADA supervisory system for monitoring industrial processes simulated with the flexibility of adding intelligent modules and devices such as CLP, according to the specifications of the problem, it was the motivation for this work. In the present study, we developed an intelligent supervisory system on a simulation of a distillation column modeled with Unisim. Furthermore, OLE Automation was used as communication between the supervisory and simulation software, which, with the use of the database, promoted an architecture both scalable and easy to maintain. Moreover, intelligent modules have been developed for preprocessing, data characteristics extraction, and variables inference. These modules were fundamentally based on the Encog software

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Um total de 19.770 pesos corporais de bovinos Guzerá, do nascimento aos 365 dias de idade, pertencentes ao banco de dados da Associação Brasileira dos Criadores de Zebu (ABCZ) foi analisado com os objetivos de comparar diferentes estruturas de variâncias residuais, considerando 1, 18, 28 e 53 classes residuais e funções de variância de ordens quadrática a quíntica; e estimar funções de co-variância de diferentes ordens para os efeitos genético aditivo direto, genético materno, de ambiente permanente de animal e de mãe e parâmetros genéticos para os pesos corporais usando modelos de regressão aleatória. Os efeitos aleatórios foram modelados por regressões polinomiais em escala de Legendre com ordens variando de linear a quártica. Os modelos foram comparados pelo teste de razão de verossimilhança e pelos critérios de Informação de Akaike e de Informação Bayesiano de Schwarz. O modelo com 18 classes heterogêneas foi o que melhor se ajustou às variâncias residuais, de acordo com os testes estatísticos, porém, o modelo com função de variância de quinta ordem também mostrou-se apropriado. Os valores de herdabilidade direta estimados foram maiores que os encontrados na literatura, variando de 0,04 a 0,53, mas seguiram a mesma tendência dos estimados pelas análises unicaracterísticas. A seleção para peso em qualquer idade melhoraria o peso em todas as idades no intervalo estudado.

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A 2.5D ray-tracing propagation model is proposed to predict radio loss in indoor environment. Specifically, we opted for the Shooting and Bouncing Rays (SBR) method, together with the Geometrieal Theory of Diffrartion (GTD). Besides the line-of-sight propagation (LOS), we consider that the radio waves may experience reflection, refraction, and diffraction (NLOS). In the Shooting and Bouncing Rays (SBR) method, the transmitter antenna launches a bundle of rays that may or may not reach the receiver. Considering the transmitting antenna as a point, the rays will start to launch from this position and can reach the receiver either directly or after reflections, refractions, diffractions, or even after any combination of the previous effects. To model the environment, a database is built to record geometrical characteristics and information on the constituent materials of the scenario. The database works independently of the simulation program, allowing robustness and flexibility to model other seenarios. Each propagation mechanism is treated separately. In line-of-sight propagation, the main contribution to the received signal comes from the direct ray, while reflected, refracted, and diffracted signal dominate when the line-of-sight is blocked. For this case, the transmitted signal reaches the receiver through more than one path, resulting in a multipath fading. The transmitting channel of a mobile system is simulated by moving either the transmitter or the receiver around the environment. The validity of the method is verified through simulations and measurements. The computed path losses are compared with the measured values at 1.8 GHz ftequency. The results were obtained for the main corridor and room classes adjacent to it. A reasonable agreement is observed. The numerical predictions are also compared with published data at 900 MHz and 2.44 GHz frequencies showing good convergence

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In the two last decades of the past century, following the consolidation of the Internet as the world-wide computer network, applications generating more robust data flows started to appear. The increasing use of videoconferencing stimulated the creation of a new form of point-to-multipoint transmission called IP Multicast. All companies working in the area of software and the hardware development for network videoconferencing have adjusted their products as well as developed new solutionsfor the use of multicast. However the configuration of such different solutions is not easy done, moreover when changes in the operational system are also requirede. Besides, the existing free tools have limited functions, and the current comercial solutions are heavily dependent on specific platforms. Along with the maturity of IP Multicast technology and with its inclusion in all the current operational systems, the object-oriented programming languages had developed classes able to handle multicast traflic. So, with the help of Java APIs for network, data bases and hipertext, it became possible to the develop an Integrated Environment able to handle multicast traffic, which is the major objective of this work. This document describes the implementation of the above mentioned environment, which provides many functions to use and manage multicast traffic, functions which existed only in a limited way and just in few tools, normally the comercial ones. This environment is useful to different kinds of users, so that it can be used by common users, who want to join multimedia Internet sessions, as well as more advenced users such engineers and network administrators who may need to monitor and handle multicast traffic

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The sharing of knowledge and integration of data is one of the biggest challenges in health and essential contribution to improve the quality of health care. Since the same person receives care in various health facilities throughout his/her live, that information is distributed in different information systems which run on platforms of heterogeneous hardware and software. This paper proposes a System of Health Information Based on Ontologies (SISOnt) for knowledge sharing and integration of data on health, which allows to infer new information from the heterogeneous databases and knowledge base. For this purpose it was created three ontologies represented by the patterns and concepts proposed by the Semantic Web. The first ontology provides a representation of the concepts of diseases Secretariat of Health Surveillance (SVS) and the others are related to the representation of the concepts of databases of Health Information Systems (SIS), specifically the Information System of Notification of Diseases (SINAN) and the Information System on Mortality (SIM)

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This study aims to use a computational model that considers the statistical characteristics of the wind and the reliability characteristics of a wind turbine, such as failure rates and repair, representing the wind farm by a Markov process to determine the estimated annual energy generated, and compare it with a real case. This model can also be used in reliability studies, and provides some performance indicators that will help in analyzing the feasibility of setting up a wind farm, once the power curve is known and the availability of wind speed measurements. To validate this model, simulations were done using the database of the wind farm of Macau PETROBRAS. The results were very close to the real, thereby confirming that the model successfully reproduced the behavior of all components involved. Finally, a comparison was made of the results presented by this model, with the result of estimated annual energy considering the modeling of the distribution wind by a statistical distribution of Weibull

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Este trabalho teve o objetivo de avaliar a evolução do uso da terra no município de Botucatu - SP, no período de três anos, considerando-se seis tipos de cobertura vegetal (cana-de-açúcar, reflorestamento, floresta nativa, pastagem, cítrus e outros), tendo como base as imagens de satélite Landsat 5, bandas 3; 4 e 5, órbita 220, ponto 76, quadrante A, passagem de 8 de junho de 1999. O Sistema de Informações Geográficas - IDRISI for Windows 3.2, foi utilizado para as análises. Os resultados mostraram que esse programa foi eficiente para auxiliar na identificação e mapeamento das áreas com uso da terra, facilitando o processamento dos dados. As imagens de satélite TM/LANDSAT 5 forneceram um excelente banco de dados para a classificação supervisionada. O município não vem sendo preservado ambientalmente, pois apresenta-se coberto com menos de 20% de florestas nativas, mínimo exigido por lei. As áreas de pastagem, principal componente da paisagem do município, confirmam a vocação da região para a pecuária.

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In this work, we propose a Geographical Information System that can be used as a tool for the treatment and study of problems related with environmental and city management issues. It is based on the Scalable Vector Graphics (SVG) standard for Web development of graphics. The project uses the concept of remate and real-time mar creation by database access through instructions executed by browsers on the Internet. As a way of proving the system effectiveness, we present two study cases;.the first on a region named Maracajaú Coral Reefs, located in Rio Grande do Norte coast, and the second in the Switzerland Northeast in which we intended to promote the substitution of MapServer by the system proposed here. We also show some results that demonstrate the larger geographical data capability achieved by the use of the standardized codes and open source tools, such as Extensible Markup Language (XML), Document Object Model (DOM), script languages ECMAScript/ JavaScript, Hypertext Preprocessor (PHP) and PostgreSQL and its extension, PostGIS

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This works presents a proposal to make automatic the identification of energy thefts in the meter systems through Fuzzy Logic and supervisory like SCADA. The solution we find by to collect datas from meters at customers units: voltage, current, power demand, angles conditions of phasors diagrams of voltages and currents, and taking these datas by fuzzy logic with expert knowledge into a fuzzy system. The parameters collected are computed by fuzzy logic, in engineering alghorithm, and the output shows to user if the customer researched may be consuming electrical energy without to pay for it, and these feedbacks have its own membership grades. The value of this solution is a need for reduce the losses that already sets more than twenty per cent. In such a way that it is an expert system that looks for decision make with assertivity, and it looks forward to find which problems there are on site and then it wont happen problems of relationship among the utility and the customer unit. The database of an electrical company was utilized and the datas from it were worked by the fuzzy proposal and algorithm developed and the result was confirmed

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O presente trabalho teve como objetivo identificar e quantificar o uso da terra em dez microbacias ocorrentes na bacia do Rio Capivara, município de Botucatu - SP, a partir da estruturação de um banco de dados utilizando o Sistema de Informações Geográficas (SIG) - IDRISI. Os resultados mostram que as classes de uso da terra, uso agrícola e pastagem, foram as mais significativas, pois ocuparam mais da metade da área das microbacias. O alto índice de uso da terra por pastagens, capoeiras, reflorestamento e matas reflete a predominância de solos arenosos com baixa fertilidade. As imagens obtidas do satélite LANDSAT 5 permitiram o mapeamento do uso da terra de maneira rápida, além de fornecer um excelente banco de dados para futuro planejamento e gerenciamento das atividades agropecuárias regionais. O SIG-IDRISI permitiu identificar, por meio de seus diferentes módulos para georreferenciamento, classificação digital e modelo matemático, as classes de uso da terra com rapidez.

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O presente trabalho tem por finalidade o estudo da adequação do uso do solo e análise da carta de aptidão agrícola, bem como o mapeamento da ocupação do solo, por meio da criação e estruturação de um banco de dados utilizando-se de Geoprocessamento, visando a atualizações e interações das informações com rapidez e eficiência, permitindo adaptações e/ou confecções de mapas temáticos da área estudada. Por meio da análise conjunta dos mapas de ocupação do solo com a carta de aptidão agrícola, pode-se constatar que: o município de Maringá - PR, apresenta ocupação de suas terras, em sua grande maioria, em acordo com a aptidão agrícola recomendada para a região; a alta porcentagem de mata nativa em terras de boa aptidão para culturas, certamente está vinculada a obediência às leis ambientais em vigor.

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Attacks to devices connected to networks are one of the main problems related to the confidentiality of sensitive data and the correct functioning of computer systems. In spite of the availability of tools and procedures that harden or prevent the occurrence of security incidents, network devices are successfully attacked using strategies applied in previous events. The lack of knowledge about scenarios in which these attacks occurred effectively contributes to the success of new attacks. The development of a tool that makes this kind of information available is, therefore, of great relevance. This work presents a support system to the management of corporate security for the storage, retrieval and help in constructing attack scenarios and related information. If an incident occurs in a corporation, an expert must access the system to store the specific attack scenario. This scenario, made available through controlled access, must be analyzed so that effective decisions or actions can be taken for similar cases. Besides the strategy used by the attacker, attack scenarios also exacerbate vulnerabilities in devices. The access to this kind of information contributes to an increased security level of a corporation's network devices and a decreased response time to occurring incidents

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

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The need to implement a software architecture that promotes the development of a SCADA supervisory system for monitoring industrial processes simulated with the flexibility of adding intelligent modules and devices such as CLP, according to the specifications of the problem, it was the motivation for this work. In the present study, we developed an intelligent supervisory system on a simulation of a distillation column modeled with Unisim. Furthermore, OLE Automation was used as communication between the supervisory and simulation software, which, with the use of the database, promoted an architecture both scalable and easy to maintain. Moreover, intelligent modules have been developed for preprocessing, data characteristics extraction, and variables inference. These modules were fundamentally based on the Encog software