855 resultados para Monitoramento remoto


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Avaliou-se a relação entre o índice de plantas com ovos e de adultos da broca-pequena-do-fruto capturados em armadilhas com feromônio sexual, bem como a influência da infestação na produção da cultura do tomate. Estas avaliações objetivaram aperfeiçoar a tomada de decisão de controle pela densidade de adultos capturados nas armadilhas. em Monte Mor, estado de São Paulo, áreas comerciais de cultivo de tomate foram divididas em parcelas experimentais para a instalação de armadilhas. em intervalos médios de 3,7 dias foi avaliada a densidade de adultos capturados e a infestação de plantas com ovos nos frutos. O estudo foi conduzido entre as safras de 2003 e 2007 para os cultivos em ciclo de verão e inverno. As avaliações foram realizadas até o término da colheita e foi definida a produção comercializada e a descartada. O controle químico foi realizado quando a infestação atingia o nível de 5% de plantas com ovos nos frutos. A pressão populacional foi mais expressiva nos cultivos em ciclo de verão. O aumento no número de machos capturados nas armadilhas com feromônio sexual correspondeu a um incremento na infestação de ovos nos frutos e houve influência positiva da infestação de plantas com a produção descartada. A instalação das armadilhas deve anteceder o florescimento e a tomada de decisão de controle ocorrer no prazo médio de oito dias após a captura média de 0,24 e 0,23 adultos na armadilha por dia para os cultivos de tomate em ciclo de verão e inverno, respectivamente.

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O controle do ácaro Brevipalpus phoenicis (Geijskes, 1939), transmissor do vírus da leprose, deve ser realizado quando sua população atinge o nível de ação, obtido pelo monitoramento de sua população, por meio de amostragens. Objetivou-se determinar o tamanho da amostra aceitável para estimar a população do ácaro, para posterior tomada de decisão. O experimento foi realizado na Fazenda Cambuhy, Matão - SP, no ano agrícola 2003-2004. Escolheu-se ao acaso um talhão da variedade Valência, com oito anos de idade, plantada no espaçamento 7x3,5m, com 2.480 plantas. Nesse talhão, foram inspecionados 1; 2; 3; 5; 10 e 100% das plantas, o que corresponde a 25; 50; 74; 124; 248 e 2.480 plantas, respectivamente, em caminhamento no sentido das linhas de plantio. Foram amostrados 3 frutos ou, na ausência destes, eram analisados ramos. de acordo com os resultados obtidos, observa-se que a porcentagem de erro na estimativa da média para a porcentagem de frutos com presença de ácaros, quando se amostra apenas 1% das plantas (25 plantas), é de 50%, ou seja, para uma infestação de 10%, a variação da porcentagem de frutos infestados estaria entre 5 e 15%, levando o produtor a subestimar ou a superestimar o nível de infestação, aumentando os gastos com pulverizações desnecessárias ou um controle ineficiente do ácaro. Para que o erro na amostragem fique dentro da situação aceitável, de 20 a 30% (em média 25%) de erro, deveriam ser amostradas 105 plantas. Na porcentagem de frutos com mais de 10 ácaros, verifica-se que, para a situação aceitável (20 a 30%), devem ser inspecionadas 540 plantas.

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Coral bleaching has been increasingly the focus of research around the world since the early 1980s, when it was verified to be increasing in frequency, intensity and amount of areas affected. The phenomenon has been recorded since 1993, associated with elevation of the sea surface temperature due to El Niños and water thermal anomalies, according to most reports around the world. On the coast of Rio Grande do Norte, Brazil, a mass coral bleaching event was recorded in the Environmental Protection Area of Coral Reefs (APARC) during March and April 2010, when the water temperature reached 34°C for several days. About 80% of the corals in Maracajaú reef-complex exhibited partial or total bleaching. The aims of this study were to verify representativeness of coral coverage and how the bleaching dynamic has developed among different species. Coral coverage was estimated according to Reef Check Brazil protocol associated with quadrant method, and bleaching was evaluated from biweekly visual surveys in 80 colonies of Favia gravida, Porites astreoides, Siderastrea stellata and Millepora alcicornis. At the same time temperature, pH, salinity and horizontal transparency, as well as mortality and disease occurrence were monitored. Analysis of variance and Multiple Regression from the perspective of time lag concept were used to evaluate the bleaching dynamics among species and the relationship between variation of means of bleaching and variations of abiotic parameters, respectively. Species showed significant differences among themselves as to variation of means of bleaching over time, but the dynamic of variation exhibited similar patterns

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O presente trabalho foi desenvolvido em área do Horto Ouro Verde, de propriedade da International Paper do Brasil, localizado no município de Conchal - SP, tendo por objetivo monitorar algumas variáveis de qualidade da água em duas condições do uso do solo (mata nativa e eucalipto). Para tanto, coletou-se água mensalmente em seis pontos ao longo do curso d'água, de maneira representativa dos diferentes usos do solo. As variáveis analisadas foram temperatura (T), oxigênio dissolvido (OD), matéria orgânica (MO) e potencial hidrogeniônico (pH). Foram encontradas diferenças significativas na matéria orgânica para os pontos P3 (mata nativa) e P6 (eucalipto), e no oxigênio dissolvido para os pontos P1 (mata nativa) e P6 (eucalipto), e quando comparadas às médias do somatório dos efeitos em cada tipo de manejo do solo, não houve diferenças significativas para todas as variáveis estudadas.

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

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A qualidade física do solo é essencial ao crescimento das plantas e à sustentabilidade dos sistemas agrícolas. O objetivo deste estudo foi avaliar a eficiência do intervalo hídrico ótimo (IHO) no monitoramento da compactação e qualidade física do solo para soja em cultivo de sequeiro e irrigado. O experimento foi realizado em Latossolo Vermelho eutroférrico (21 ° 14 ' 53S; 48 ° 17 ' 20W; 540 m de altitude). O delineamento experimental foi inteiramente casualizado em esquema fatorial 6 x 2, com quatro repetições. Os tratamentos de compactação foram: T1 = sem compactação; T2 = 1 passada de trator de 4 t; T3 = 1; T4 = 2; T5 = 4; e T6 = 6 passadas de um trator de 11 t, no mesmo local. Foi semeada a soja (Glycine max (L.) Merrill), cultivar IAC Foscarim 31. Foram coletadas amostras indeformadas de solo nas camadas de 3-6, 8-11, 15-18 e 22-25 cm, para determinação dos atributos físicos. Na colheita, foi avaliada a produtividade de soja em microparcela de 3,37 m². No cultivo de soja sequeiro e irrigado, a produtividade diminui a partir da resistência à penetração (RP) de 1,30 e 1,64 MPa e da densidade do solo (Ds) de 1,26 e 1,29 kg dm-3, com perdas de 19,15 e 11,71 % no maior nível de compactação (RP = 2,84 MPa; Ds = 1,45 kg dm-3), respectivamente. O IHO foi reduzido pela RP até atingir a Dsc(IHO = 0) de 1,33 e 1,38 kg dm-3, no cultivo de soja sequeiro e irrigado. O IHO é adequado no monitoramento da compactação e da qualidade física do solo para soja, quando sua aplicação é realizada com base no valor de resistência à penetração limitante e no valor de densidade crítica do solo (IHO = 0). A soja em cultivo irrigado tolera maior compactação.

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The present work is grounded basically on the use of the Basic Tools for the Statistic Process Control SPC, with the intent to detect non-conformities on a given productive process. It consists on a case study accomplished at a Hemocenter in Natal (Rio Grande do Norte). In this study it is shown that, the Statistic Process Control Technique, which was used as a tool, is useful to identify on-conformities on the volume of hemocomponents. The gathering of the used data was performed by means of document analysis, direct observations and database queries. The results achieved from the study show that the analyzed products, even though when they have presented, in some cases, points out of control, they satisfied the ANVISA standards. Finally, suggestions for further improvement of the final product and guidance for future employment of CEP, also extended to other lines of production, are presented

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This Master Thesis presents a case study on the use of Statistical Process Control (SPC) at the Núcleo de Pesquisas em Alimentos e Medicamentos (NUPLAM). The SPC basic tools have been applied in the process of the tuberculostáticos drugs encapsulation, primarily concerning the objective to choose, between two speeds, which one is the best one to perform the tuberculostatics encapsulation. Later on, with the company effectively operating, the SPC was applied intending to know the variability of the process and, through the tracking of the process itself, to arrive at an estimated limit for the control of future lots of tuberculostatics of equal dosage. As special causes were detected acting in the process, a cause-and-effect diagram was built in order to try to discover, in each factor that composes the productive process, the possible causes of variation of the capsules average weight. The hypotheses raised will be able to serve as a base for deepened the study to eliminate or reduce these interferences in the process. Also a study on the capacity of the process to attend the specifications was carried out, and this study has shown the process´s inaptitude to take care of them. However, on the side of NUPLAM exists a real yearning to implant the SPC and consequently to improve the existing quality already present on its medicines

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The use of the maps obtained from remote sensing orbital images submitted to digital processing became fundamental to optimize conservation and monitoring actions of the coral reefs. However, the accuracy reached in the mapping of submerged areas is limited by variation of the water column that degrades the signal received by the orbital sensor and introduces errors in the final result of the classification. The limited capacity of the traditional methods based on conventional statistical techniques to solve the problems related to the inter-classes took the search of alternative strategies in the area of the Computational Intelligence. In this work an ensemble classifiers was built based on the combination of Support Vector Machines and Minimum Distance Classifier with the objective of classifying remotely sensed images of coral reefs ecosystem. The system is composed by three stages, through which the progressive refinement of the classification process happens. The patterns that received an ambiguous classification in a certain stage of the process were revalued in the subsequent stage. The prediction non ambiguous for all the data happened through the reduction or elimination of the false positive. The images were classified into five bottom-types: deep water; under-water corals; inter-tidal corals; algal and sandy bottom. The highest overall accuracy (89%) was obtained from SVM with polynomial kernel. The accuracy of the classified image was compared through the use of error matrix to the results obtained by the application of other classification methods based on a single classifier (neural network and the k-means algorithm). In the final, the comparison of results achieved demonstrated the potential of the ensemble classifiers as a tool of classification of images from submerged areas subject to the noise caused by atmospheric effects and the water column

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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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The greater part of monitoring onshore Oil and Gas environment currently are based on wireless solutions. However, these solutions have a technological configuration that are out-of-date, mainly because analog radios and inefficient communication topologies are used. On the other hand, solutions based in digital radios can provide more efficient solutions related to energy consumption, security and fault tolerance. Thus, this paper evaluated if the Wireless Sensor Network, communication technology based on digital radios, are adequate to monitoring Oil and Gas onshore wells. Percent of packets transmitted with successful, energy consumption, communication delay and routing techniques applied to a mesh topology will be used as metrics to validate the proposal in the different routing techniques through network simulation tool NS-2

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The use of Geographic Information Systems (GIS) has becoming very important in fields where detailed and precise study of earth surface features is required. Applications in environmental protection are such an example that requires the use of GIS tools for analysis and decision by managers and enrolled community of protected areas. In this specific field, a challenge that remains is to build a GIS that can be dynamically fed with data, allowing researchers and other agents to recover actual and up to date information. In some cases, data is acquired in several ways and come from different sources. To solve this problem, some tools were implemented that includes a model for spatial data treatment on the Web. The research issues involved start with the feeding and processing of environmental control data collected in-loco as biotic and geological variables and finishes with the presentation of all information on theWeb. For this dynamic processing, it was developed some tools that make MapServer more flexible and dynamic, allowing data uploading by the proper users. Furthermore, it was also developed a module that uses interpolation to aiming spatial data analysis. A complex application that has validated this research is to feed the system with data coming from coral reef regions located in northeast of Brazil. The system was implemented using the best interactivity concept provided by the AJAX model and resulted in a substantial contribution for efficiently accessing information, being an essential mechanism for controlling events in the environmental monitoring

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The development of wireless sensor networks for control and monitoring functions has created a vibrant investigation scenario, covering since communication aspects to issues related with energy efficiency. When source sensors are endowed with cameras for visual monitoring, a new scope of challenges is raised, as transmission and monitoring requirements are considerably changed. Particularly, visual sensors collect data following a directional sensing model, altering the meaning of concepts as vicinity and redundancy but allowing the differentiation of source nodes by their sensing relevancies for the application. In such context, we propose the combined use of two differentiation strategies as a novel QoS parameter, exploring the sensing relevancies of source nodes and DWT image coding. This innovative approach supports a new scope of optimizations to improve the performance of visual sensor networks at the cost of a small reduction on the overall monitoring quality of the application. Besides definition of a new concept of relevance and the proposition of mechanisms to support its practical exploitation, we propose five different optimizations in the way images are transmitted in wireless visual sensor networks, aiming at energy saving, transmission with low delay and error recovery. Putting all these together, the proposed innovative differentiation strategies and the related optimizations open a relevant research trend, where the application monitoring requirements are used to guide a more efficient operation of sensor networks

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Este trabalho apresenta um levantamento dos problemas associados à influência da observabilidade e da visualização radial no projeto de sistemas de monitoramento para redes de grande magnitude e complexidade. Além disso, se propõe a apresentar soluções para parte desses problemas. Através da utilização da Teoria de Redes Complexas, são abordadas duas questões: (i) a localização e a quantidade de nós necessários para garantir uma aquisição de dados capaz de representar o estado da rede de forma efetiva e (ii) a elaboração de um modelo de visualização das informações da rede capaz de ampliar a capacidade de inferência e de entendimento de suas propriedades. A tese estabelece limites teóricos a estas questões e apresenta um estudo sobre a complexidade do monitoramento eficaz, eficiente e escalável de redes

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The monitoring of patients performed in hospitals is usually done either in a manual or semiautomated way, where the members of the healthcare team must constantly visit the patients to ascertain the health condition in which they are. The adoption of this procedure, however, compromises the quality of the monitoring conducted since the shortage of physical and human resources in hospitals tends to overwhelm members of the healthcare team, preventing them from moving to patients with adequate frequency. Given this, many existing works in the literature specify alternatives aimed at improving this monitoring through the use of wireless networks. In these works, the network is only intended for data traffic generated by medical sensors and there is no possibility of it being allocated for the transmission of data from applications present in existing user stations in the hospital. However, in the case of hospital automation environments, this aspect is a negative point, considering that the data generated in such applications can be directly related to the patient monitoring conducted. Thus, this thesis defines Wi-Bio as a communication protocol aimed at the establishment of IEEE 802.11 networks for patient monitoring, capable of enabling the harmonious coexistence among the traffic generated by medical sensors and user stations. The formal specification and verification of Wi-Bio were made through the design and analysis of Petri net models. Its validation was performed through simulations with the Network Simulator 2 (NS2) tool. The simulations of NS2 were designed to portray a real patient monitoring environment corresponding to a floor of the nursing wards sector of the University Hospital Onofre Lopes (HUOL), located at Natal, Rio Grande do Norte. Moreover, in order to verify the feasibility of Wi-Bio in terms of wireless networks standards prevailing in the market, the testing scenario was also simulated under a perspective in which the network elements used the HCCA access mechanism described in the IEEE 802.11e amendment. The results confirmed the validity of the designed Petri nets and showed that Wi-Bio, in addition to presenting a superior performance compared to HCCA on most items analyzed, was also able to promote efficient integration between the data generated by medical sensors and user applications on the same wireless network