1000 resultados para Cobertura (Arquitetura)


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The aim of this study was to evaluate the nitrogen topdressing influence in common bean irrigated (winter-spring), in the first year of no tillage implementation. The experimental design was split-plot with three replications in randomized blocks. The plots were formed by three types of ground cover, corn-grain, corn-grain intercropped with Brachiaria ruziziensis and only B. ruziziensis. The subplots were formed by five doses of nitrogen topdressing (0, 40, 80, 120 and 160 kg ha(-1)), using urea as nitrogen source. It was determined the dry mass of residue present as ground cover, the full flowering time, the leaf nitrogen content, the 100 grains mass, the grain yield, the processing income, the chemical soil properties and economic analysis of common bean grain yield. It was found the common bean grain productivity in succession to corn-grain was positively influenced by nitrogen fertilization, showing it is economically viable only when given 160 kg ha(-1) of nitrogen and the intercropping corn-grain and B. ruziziensis use is the best option when the common bean is sown in succession.

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A produção de massa seca, a taxa de decomposição e a liberação de nitrogênio (N) foram avaliadas em um experimento com sete tipos de cobertura vegetal: milheto pérola (Pennisetum americanum sin. tiphoydes), braquiária (Brachiaria brizantha), sorgo forrageiro (Sorghum bicolor L. Moench), guandu (Cajanus cajan (L.) Millsp), crotalária juncea (Crotalarea juncea) e aveia-preta (Avena strigosa Schreb), em pousio e em área de cultivo convencional (testemunha), em solo de cerrado, em Uberaba, região do Triângulo Mineiro. Dentre as coberturas avaliadas, o milheto e a crotalária foram as que apresentaram a maior produção de massa seca, maior acúmulo e a maior liberação de N. A braquiária foi a cobertura que apresentou a maior taxa de decomposição. Todas as coberturas apresentaram a maior taxa de liberação de N até 42 dias após dessecação.

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The species of cover crops in pre-harvest of maize crop may influence the soil chemical properties. The objective was to evaluate soil fertility due to the use of plant species cover, previously cultivated with maize crop in no-tillage and conventional and subjected to nitrogen. The experiment was conducted at UNESP in Jaboticabal-SP, in an Oxisol clay during the crop years 2000/01, 2001/02 and 2002/03. The experimental design was randomized blocks in split plots with four replications. The treatments consisted of nitrogen (0, 60 and 120 kg N ha(-1)) and planting systems, and three under no-tillage system with the use of cover crops: Brachiaria, millet, Crotalaria and lablab, and under a conventional tillage. We evaluated at the flowering stage of corn, covering the crop year 2002-2003, the chemical soil layers (0-0.05, 0.05-0.10, 0.10-0.20; 0.20-0.30 m deep). Tillage systems and nitrogen levels influenced differently to the chemical properties of soil layers studied. Regardless of the nitrogen used in the conventional treatment showed lower organic matter content, calcium and value of sum of bases in the topsoil.

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With the objective of evaluating the biomass production and nutrient removal by plant cover in the Agreste region of Alagoas, an experiment was conducted in the experimental field of the Federal University of Alagoas - Campus Arapiraca. Randomized block design was used, with eight treatments and four replications. The treatments were: Crotalaria juncea, Crotalaria spectabilis, Cajanus cajan (L.) Mill sp., Cajanus cajan, Canavalia ensiformis, Dolichos lablab, Mucuna aterrima and the spontaneous local vegetation (control). The green matter in an area of 1 m(2) during the flowering of each species was evaluated, and biomass was then dried in an oven at 65 degrees C until constant weight for dry matter, in which the contents of macro and micronutrients were extracted. Leguminous plant showed potential for use as green manure in the Agreste region of Alagoas, with N contents higher than the spontaneous vegetation and not being different from one for the accumulation of P, K, Ca, Mg, S, B, Mn and Zn. The spontaneous vegetation was similar to dry matter of legumes production. Among the treatments Cajanus cajan showed higher dry matter production and N accumulation in the aerial part.

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A análise de um modelo de erosão é um crítico passo no desenvolvimento de uma ferramenta de predição da erosão aplicável e válida; isso é crucial para avaliar o desempenho dos modelos existentes para assegurar que as estimativas de um modelo condizem com a realidade. O objetivo do presente trabalho foi avaliar modelos para a predição do subfator cobertura e manejo (CiII) relativo à erosão entressulcos. Um experimento fatorial completo foi conduzido com cinco doses de resíduo de milho (0; 0,05; 0,15; 0,40 e 0,80 kg m-2), quatro declives e duas repetições, sob condições de prévio umedecimento para determinar as taxas de erosão entressulcos (Di) e enxurrada (R). Num primeiro experimento, foi avaliada a erodibilidade entressulcos (Ki) e o subfator cobertura e manejo (CiII), em parcelas experimentais de 0,5 x 0,75 m, em solo recentemente preparado. Num segundo experimento, foram avaliados Di, R, Ki e CiII, também em parcelas de 0,5 x 0,75 m, em solo recém- preparado. Os valores de Di, R, Ki e CiII, obtidos no segundo experimento, foram utilizados na avaliação dos modelos testados. Os modelos CiII = e-2,50 CS/100 e CiII = e -2,238 CS/100 apresentaram boas estimativas para o subfator CiII.

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A utilização de plantas de cobertura de solo em pré-safra é uma alternativa para fornecer nitrogênio (N) ao milho e viabilizar o sistema plantio direto nas Regiões Sudeste, Centro-Oeste, Norte e Nordeste, com inverno seco. Este estudo teve o objetivo de avaliar o efeito de doses de N e de espécies de plantas de cobertura, cultivadas em pré-safra, no fornecimento de N e na produtividade de milho em plantio direto. O delineamento experimental foi de blocos ao acaso, com parcelas subdivididas e quatro repetições. O estudo foi desenvolvido de 2000 a 2003. Os tratamentos principais foram constituídos de quatro sistemas de uso e manejo: milho em plantio direto após crotalária (PDcrot); milho em plantio direto após braquiária no primeiro ano e lablab nos dois últimos (PDlab); milho em plantio direto após milheto (PDmil); milho em plantio convencional após pousio (PC); e os secundários de três doses de N em cobertura para o milho (0, 60 e 120 kg ha-1). Foram avaliados, no milho, massa da matéria seca da parte aérea, produtividade de grãos, N acumulado e eficiência de utilização do N. A maior eficiência de utilização do N pelas plantas de milho ocorreu nos sistemas de plantio direto e crotalária em pré-safra e plantio convencional após pousio, que não diferiu entre os dois sistemas e foram superiores à dos sistemas de plantio direto em que foram utilizados lablab e milheto em pré-safra, que também não diferiram entre si. A máxima produtividade de grãos de milho foi de 7.259; 7.234; 6.723 e 6.461 kg ha-1, nas doses de N de 97,1; 120,0; 87,8 e 96,1 kg ha-1 nos sistemas plantio direto e crotalária, plantio convencional, plantio direto e lablab, e plantio direto e milheto em pré-safra, respectivamente (média dos três anos). No cultivo de milho em sistema de plantio direto a utilização de crotalária proporcionou maior produtividade em relação ao milheto e lablab em pré-safra.

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Objetivando-se avaliar a produção de mudas de mamoeiro em diferentes substratos com adubações de nitrogênio em cobertura, conduziu-se um experimento em viveiro de formação de mudas no pomar da Universidade Federal de Lavras (UFLA), Minas Gerais. Foram testadas cinco doses de nitrogênio 0; 400; 800; 1600 e 3200 mg de N dm-3 de substrato, aplicados cinco vezes, sendo que em cada aplicação foram adicionados aos sacos de polietileno (capacidade de 500 mL) 20 mL de solução contendo o N e duas composições de substratos: A (composto orgânico + areia + solo na proporção de 1:1:3 em volume) e B (Plantmax® + areia + solo na proporção de 1:1:3 em volume). Foi utilizado o delineamento experimental em blocos ao acaso em esquema fatorial 5 x 2, com 4 repetições e cinco plantas por parcela. Após 150 dias da semeadura avaliaram-se as seguintes variáveis: comprimento da parte aérea (cm); comprimento de raiz (cm), número de folha/muda, matéria seca da parte aérea, da raiz e total (g/planta). Verificou-se que dosagem de até 1.800 mg de N dm-3 em cobertura, foram as que proporcionaram melhor qualidade na formação das mudas. em relação aos substratos verificou-se que o substrato B (Plantmax® + areia + solo na proporção de 1:1:3 em volume) foi o que promoveu os melhores resultados na produção das mudas do mamoeiro 'Formosa'.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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In this work, we propose a solution to solve the scalability problem found in collaborative, virtual and mixed reality environments of large scale, that use the hierarchical client-server model. Basically, we use a hierarchy of servers. When the capacity of a server is reached, a new server is created as a sun of the first one, and the system load is distributed between them (father and sun). We propose efficient tools and techniques for solving problems inherent to client-server model, as the definition of clusters of users, distribution and redistribution of users through the servers, and some mixing and filtering operations, that are necessary to reduce flow between servers. The new model was tested, in simulation, emulation and in interactive applications that were implemented. The results of these experimentations show enhancements in the traditional, previous models indicating the usability of the proposed in problems of all-to-all communications. This is the case of interactive games and other applications devoted to Internet (including multi-user environments) and interactive applications of the Brazilian Digital Television System, to be developed by the research group. Keywords: large scale virtual environments, interactive digital tv, distributed

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The industrial automation is directly linked to the development of information tecnology. Better hardware solutions, as well as improvements in software development methodologies make possible the rapid growth of the productive process control. In this thesis, we propose an architecture that will allow the joining of two technologies in hardware (industrial network) and software field (multiagent systems). The objective of this proposal is to join those technologies in a multiagent architecture to allow control strategies implementations in to field devices. With this, we intend develop an agents architecture to detect and solve problems which may occur in the industrial network environment. Our work ally machine learning with industrial context, become proposed multiagent architecture adaptable to unfamiliar or unexpected production environment. We used neural networks and presented an allocation strategies of these networks in industrial network field devices. With this we intend to improve decision support at plant level and allow operations human intervention independent

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The area of the hospital automation has been the subject a lot of research, addressing relevant issues which can be automated, such as: management and control (electronic medical records, scheduling appointments, hospitalization, among others); communication (tracking patients, staff and materials), development of medical, hospital and laboratory equipment; monitoring (patients, staff and materials); and aid to medical diagnosis (according to each speciality). This thesis presents an architecture for a patient monitoring and alert systems. This architecture is based on intelligent systems techniques and is applied in hospital automation, specifically in the Intensive Care Unit (ICU) for the patient monitoring in hospital environment. The main goal of this architecture is to transform the multiparameter monitor data into useful information, through the knowledge of specialists and normal parameters of vital signs based on fuzzy logic that allows to extract information about the clinical condition of ICU patients and give a pre-diagnosis. Finally, alerts are dispatched to medical professionals in case any abnormality is found during monitoring. After the validation of the architecture, the fuzzy logic inferences were applied to the trainning and validation of an Artificial Neural Network for classification of the cases that were validated a priori with the fuzzy system

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There are some approaches that take advantage of unused computational resources in the Internet nodes - users´ machines. In the last years , the peer-to-peer networks (P2P) have gaining a momentum mainly due to its support for scalability and fault tolerance. However, current P2P architectures present some problems such as nodes overhead due to messages routing, a great amount of nodes reconfigurations when the network topology changes, routing traffic inside a specific network even when the traffic is not directed to a machine of this network, and the lack of a proximity relationship among the P2P nodes and the proximity of these nodes in the IP network. Although some architectures use the information about the nodes distance in the IP network, they use methods that require dynamic information. In this work we propose a P2P architecture to fix the problems afore mentioned. It is composed of three parts. The first part consists of a basic P2P architecture, called SGrid, which maintains a relationship of nodes in the P2P network with their position in the IP network. Its assigns adjacent key regions to nodes of a same organization. The second part is a protocol called NATal (Routing and NAT application layer) that extends the basic architecture in order to remove from the nodes the responsibility of routing messages. The third part consists of a special kind of node, called LSP (Lightware Super-Peer), which is responsible for maintaining the P2P routing table. In addition, this work also presents a simulator that validates the architecture and a module of the Natal protocol to be used in Linux routers

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Due to the current need of the industry to integrate data of the beginning of production originating from of several sources and of transforming them in useful information for sockets of decisions, a search exists every time larger for systems of visualization of information that come to collaborate with that functionality. On the other hand, a common practice nowadays, due to the high competitiveness of the market, it is the development of industrial systems that possess characteristics of modularity, distribution, flexibility, scalability, adaptation, interoperability, reusability and access through web. Those characteristics provide an extra agility and a larger easiness in adapting to the frequent changes of demand of the market. Based on the arguments exposed above, this work consists of specifying a component-based architecture, with the respective development of a system based on that architecture, for the visualization of industrial data. The system was conceived to be capable to supply on-line information and, optionally, historical information of variables originating from of the beginning of production. In this work it is shown that the component-based architecture developed possesses the necessary requirements for the obtaining of a system robust, reliable and of easy maintenance, being, like this, in agreement with the industrial needs. The use of that architecture allows although components can be added, removed or updated in time of execution, through a manager of components through web, still activating more the adaptation process and updating of the system

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In this work, we present a hardware-software architecture for controlling the autonomous mobile robot Kapeck. The hardware of the robot is composed of a set of sensors and actuators organized in a CAN bus. Two embedded computers and eigth microcontroller based boards are used in the system. One of the computers hosts the vision system, due to the significant processing needs of this kind of system. The other computer is used to coordinate and access the CAN bus and to accomplish the other activities of the robot. The microcontroller-based boards are used with the sensors and actuators. The robot has this distributed configuration in order to exhibit a good real-time behavior, where the response time and the temporal predictability of the system is important. We adopted the hybrid deliberative-reactive paradigm in the proposed architecture to conciliate the reactive behavior of the sensors-actuators net and the deliberative activities required to accomplish more complex tasks

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In this work, we propose the Interperception paradigm, a new approach that includes a set of rules and a software architecture for merge users from different interfaces in the same virtual environment. The system detects the user resources and provide transformations on the data in order to allow its visualization in 3D, 2D and textual (1D) interfaces. This allows any user to connect, access information, and exchange information with other users in a feasible way, without needs of changing hardware or software. As results are presented two virtual environments builded acording this paradigm