1000 resultados para Animal attack


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Electronic tags (both biotelemetry and biologging platforms) have informed conservation and resource management policy and practice by providing vital information on the spatial ecology of animals and their environments. However, the extent of the contribution of biological sensors (within electronic tags) that measure an animal's state (e.g., heart rate, body temperature, and details of locomotion and energetics) is less clear. A literature review revealed that, despite a growing number of commercially available state sensor tags and enormous application potential for such devices in animal biology, there are relatively few examples of their application to conservation. Existing applications fell under 4 main themes: quantifying disturbance (e.g., ecotourism, vehicular and aircraft traffic), examining the effects of environmental change (e.g., climate change), understanding the consequences of habitat use and selection, and estimating energy expenditure. We also identified several other ways in which sensor tags could benefit conservation, such as determining the potential efficacy of management interventions. With increasing sensor diversity of commercially available platforms, less invasive attachment techniques, smaller device sizes, and more researchers embracing such technology, we suggest that biological sensor tags be considered a part of the necessary toolbox for conservation. This approach can measure (in real time) the state of free-ranging animals and thus provide managers with objective, timely, relevant, and accurate data to inform policy and decision making.

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Security is a major challenge in Opportunistic Networks (OppNets) because of its characteristics, such as open medium, dynamic topology, no centralized management and absent clear lines of defense. A packet dropping attack is one of the major security threats in OppNets since neither source nodes nor destination nodes have the knowledge of where or when the packet will be dropped. In our previous novel attack (Packet Faking Attack [1]) we presented a special type of packet dropping where the malicious node drops one or more packets and then injects new fake packets instead. In this paper, we present an efficient detection mechanism against this type of attack where each node can detect the attack instead of the destination node. Our detection mechanism is very powerful and has very high accuracy. It relies on a very simple yet powerful idea, that is, the packet creation time of each packet. Simulation results show this robust mechanism achieves a very high accuracy, detection rate and good network traffic reduction.

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Security is a major challenge in Opportunistic Networks (OppNets) because of its characteristics, such as open medium, dynamic topology, no centralized management and absent clear lines of defense.A packet dropping attack is one of the major security threats in OppNets since neither source nodes nor destination nodes have the knowledge of where or when the packet will be dropped. In this paper, we present a novel attack and traceback mechanism against a special type of packet dropping where the malicious node drops one or more packets and then injects new fake packets instead. We call this novel attack a Catabolism Attack and we call our novel traceback mechanism against this attack Anabolism Defense. Our novel detection and traceback mechanism is very powerful and has very high accuracy. Each node can detect and then traceback the malicious nodes based on a solid and powerful idea that is, hash chain techniques. In our defense techniques we have two stages. The first stage is to detect the attack, and the second stage is to find the malicious nodes. Simulation results show this robust mechanism achieves a very high accuracy and detection rate.

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Ecological theory predicts that habitat growth and loss will have different effects on community structure, even if they produce patches of the same size. Despite this, studies on the effects of patchiness are often performed without prior knowledge of the processes responsible for the patchiness. We manipulated artificial seagrass habitat in temperate Australia to test whether fish and crustacean assemblages differed between habitats that formed via habitat loss and habitat growth. Habitat loss treatments (originally 16 m2) and habitat growth treatments (originally 0 m2) were manipulated over 1 week until each reached a final patch size of 4 m2. At this size, each was compared through time (0-14 days after manipulation) with control patches (4 m2 throughout the experiment). Assemblages differed significantly among treatments at 0 and 1 day after manipulation, with differences between growth and loss treatments contributing to most of the dissimilarity. Immediately after the final manipulation, total abundance in habitat loss treatments was 46% and 62% higher than controls and habitat growth treatments, respectively, which suggests that animals crowded into patches after habitat loss. In contrast to terrestrial systems, crowding effects were brief (≤1 day), signifying high connectivity in marine systems. Growth treatments were no different to controls, despite the lower probability of animals encountering patches during the growth phase. Our study shows that habitat growth and loss can cause short-term differences in animal abundance and assemblage structure, even if they produce patches of the same size.

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Most ecological studies require knowledge of animal abundance, but it can be challenging and destructive of habitat to obtain accurate density estimates for cryptic species, such as crustaceans that tunnel deeply into the seafloor, beaches, or mudflats. Such fossorial species are, however, widely used in environmental impact assessments, requiring sampling techniques that are reliable, efficient, and environmentally benign for these species and environments.2.Counting and measuring the entrances of burrows made by cryptic species is commonly employed to index population and body sizes of individuals. The fundamental premise is that burrow metrics consistently predict density and size. Here we review the evidence for this premise. We also review criteria for selecting among sampling methods: burrow counts, visual censuses, and physical collections.3.A simple 1:1 correspondence between the number of holes and population size cannot be assumed. Occupancy rates, indexed by the slope of regression models, vary widely between species and among sites for the same species. Thus, 'average' or 'typical' occupancy rates should not be extrapolated from site- or species specific field validations and then be used as conversion factors in other situations.4.Predictions of organism density made from burrow counts often have large uncertainty, being double to half of the predicted mean value. Whether such prediction uncertainty is 'acceptable' depends on investigators' judgements regarding the desired detectable effect sizes.5.Regression models predicting body size from burrow entrance dimensions are more precise, but parameter estimates of most models are specific to species and subject to site-to-site variation within species.6.These results emphasise the need to undertake thorough field validations of indirect census techniques that include tests of how sensitive predictive models are to changes in habitat conditions or human impacts. In addition, new technologies (e.g. drones, thermal-, acoustic- or chemical sensors) should be used to enhance visual census techniques of burrows and surface-active animals.

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Privacy preserving is an essential aspect of modern recommender systems. However, the traditional approaches can hardly provide a rigid and provable privacy guarantee for recommender systems, especially for those systems based on collaborative filtering (CF) methods. Recent research revealed that by observing the public output of the CF, the adversary could infer the historical ratings of the particular user, which is known as the KNN attack and is considered a serious privacy violation for recommender systems. This paper addresses the privacy issue in CF by proposing a Private Neighbor Collaborative Filtering (PriCF) algorithm, which is constructed on the basis of the notion of differential privacy. PriCF contains an essential privacy operation, Private Neighbor Selection, in which the Laplace noise is added to hide the identity of neighbors and the ratings of each neighbor. To retain the utility, the Recommendation-Aware Sensitivity and a re-designed truncated similarity are introduced to enhance the performance of recommendations. A theoretical analysis shows that the proposed algorithm can resist the KNN attack while retaining the accuracy of recommendations. The experimental results on two real datasets show that the proposed PriCF algorithm retains most of the utility with a fixed privacy budget.

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Este ensaio pretende, de um lado, identificar e descrever os traços dominantes da literatura e das demais poéticas contemporâneas, e, de outro, relatar o processo de transposição de um texto literário – o romance O Quieto Animal da Esquina, de João Gilberto Noll – para um texto de cinema, o roteiro cinematográfico homônimo, de minha autoria. Menos uma tese acadêmica do que uma tentativa de se constituir como um objeto artístico em si mesmo – tanto em sua condição de roteiro, quanto na de uma aproximação eminentemente subjetiva, não “científica”, de um modo de expressão – este ensaio é uma proposta de discussão sobre a rarefação de limites, sobre o diálogo e a interdependência das artes.

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Este trabalho buscou consolidar a hipótese de que nas formações campestres nativas do Rio Grande do Sul, não só a aferta de MS, mas também a estrutura da pastagem, são determinantes do desempenho animal, e que esta estrutura pode ser manipulada através de alterações estacionais na oferta.

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A desfolhação e o pisoteio animal podem afetar a cobertura vegetal e alterar a dinâmica do calcário no solo. Este trabalho estudou um sistema de integração lavoura-pecuária com níveis de biomassa de pastagem e seu reflexo sobre o solo, o desenvolvimento da soja e a dinâmica da correção da acidez a partir da superfície do solo. O experimento foi conduzido em um Latossolo Vermelho, em uma pastagem de aveia preta + azevém manejada sob diferentes alturas. O delineamento experimental foi o de blocos ao acaso com quatro tratamentos (10, 20, 30 e 40 cm de altura de manejo) e três repetições. Utilizou-se terneiros jovens em pastejo contínuo, com lotação variável, em dois períodos de pastejo (2001 e 2002). No final do primeiro período aplicou-se 4,5 Mg ha-1 de calcário na área, implantando-se a cultura da soja. As alturas da pastagem afetaram a massa de forragem e o desempenho dos animais. Na média dos dois anos, maiores rendimentos individuais e por área foram obtidos com pastagem manejada nas alturas médias de 25 e 10 cm, respectivamente. Após o pastejo, somente no manejo a 10 cm a densidade e a macroporosidade do solo atingiram valores que podem limitar o desenvolvimento da soja na camada de 0-2,5 cm. Efeitos sobre os atributos químicos manifestaram-se até 5 cm de profundidade, cinco meses após a calagem, avançando com o tempo, independentemente da condição anterior de pastejo. A população de plantas e o rendimento da soja diminuíram com a redução da altura de manejo da pastagem. Houve equivalência de rendimento econômico entre todos os tratamentos, sendo a diminuição do rendimento de soja, em situação de alta intensidade de pastejo, compensada pelo aumento do rendimento animal por unidade de área. O rendimento de soja na área sem pastejo foi similar àquele obtido em áreas com intensidade de pastejo leve.

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Esse estudo foi compreendido por dois experimentos de campo, no período de outubro/2003 a abril/2004, na Fundação Estadual de Pesquisa Agropecuária (FEPAGRO), localizado em Tupanciretã, no Planalto Médio, região ecoclimática do RS. O principal objetivo do primeiro experimento foi avaliar o desempenho de novilhas de corte e a dinâmica de três pastos constituídos por Panicum maximum cvs. Gatton e Aruana e por Digitaria diversinervis em um sistema silvipastoril (SSP), associadas com acácia-negra (Acacia mearnsii De Wild.) sob duas densidades arbóreas (833 e 500 árvores/ha). Os resultados mostraram que não houve efeito da densidade arbórea com relação à dinâmica dos pastos e no desempenho animal. As cvs. de P. maximum apresentaram maiores resultados de massa de forragem residual do que a D. diversinervis. A taxa de acúmulo diário de MS, forragem total, oferta de forragem real e relação folha/colmo não diferiram entre as espécies. A cv. Gatton obteve maior resultado de forragem disponível quando comparado com a D. diversinervis. O ganho médio diário, ganho por área, animais.dia/ha, lotação animal e carga animal média também não diferiram com relação as forrageiras. O objetivo do segundo experimento foi avaliar o rendimento de matéria seca total de cinco cultivares de Panicum maximum, crescendo dentro e fora de um bosque de Eucalyptus sp. de 17 anos de idade, estabelecido na densidade de 1111 árvores/ha. A produção media de MS e a taxa de crescimento diário foram significativamente menores (P≤0.05) na condição de sombra (5.529 kg/ha) do que em pleno sol (22.346 kg/ha). Na condição de sombra, os resultados das cvs. não diferiram, enquanto que os resultados em pleno sol apresentaram diferenças significativas (P≤0,01), onde a cv. Tanzânia apresentou menores resultados no rendimento de matéria seca e taxa de crescimento e a cv. Mombaça os maiores resultados Pode-se concluir que as cvs. Mombaça, Tobiatã, Gatton e Vencedor são boas promissoras para o uso em SSP. Esse estudo indicou claramente altos níveis de desempenho animal sob pastejo em SSP com algumas cvs. de P. maximum selecionadas ou D. diversinervis usando Acacia-Negra no Sul do Brasil.