985 resultados para Marcus Daly


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O objetivo deste trabalho foi identificar e priorizar as demandas de natureza tecnológica, resultantes de problemas que atuam como entraves ou "gargalos' ao desenvolvimento do sistema produtivo de madeira e móveis.

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A equipe da Embrapa Acre vem contribuindo, ao longo das últimas duas décadas, para o desenvolvimento de técnicas de manejo florestal adequadas a pequenos e grandes produtores, promovendo a diminuição de custos e aumento dos rendimentos das operações florestais. Nos últimos anos, especialmente pelo uso de geotecnologias, foi possível desenvolver o Modeflora, um conjunto de ferramentas e de técnicas que constituem uma metodologia inovadora de manejo digital de precisão que tem sido adotada por empresários do setor florestal e órgãos governamentais estaduais e federais na gestão de PMF. Com este livro damos mais um passo à frente no manejo de precisão pela incorporação do perfilamento a laser (Lidar ? light detection and range) como ferramenta de planejamento e monitoramento de florestas tropicais. Ao longo do livro é descrita em detalhe a metodologia de elaboração de modelos tridimensionais do terreno de elevada precisão que permitem ao usuário planejar todas as operações relativas ao manejo florestal, monitorar os impactos dessas operações e a estimativa de biomassa, volume e estoques de carbono das florestas amostradas pelo Lidar. Os modelos apresentados no livro foram construídos e validados em um plano de manejo florestal administrado pelo governo do Estado do Acre, na Floresta Estadual do Antimary, por meio de uma parceria entre Embrapa, Serviço Florestal Americano e governo do Estado do Acre.

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Esta publicação procura fornecer aos profissionais da engenharia florestal, as principais etapas de campo e escritório para construção do modelo digital de exploração e manejo florestal. As etapas foram selecionadas e descritas de modo que um profissional da área com conhecimento básico de sistema de informação geográfica (GIS) possa planejar os trabalhos de campo e obter um mapa de exploração florestal com a apropriação das coordenadas verdadeiras de todas as árvores, detalhes da hidrografia, relevo e curvas de nível e, ainda, executar a exploração florestal com receptores GPS e navegadores veiculares.

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R. Daly and Q. Shen. Methods to accelerate the learning of bayesian network structures. Proceedings of the Proceedings of the 2007 UK Workshop on Computational Intelligence.

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R. Daly, Q. Shen and S. Aitken. Speeding up the learning of equivalence classes of Bayesian network structures. Proceedings of the 10th International Conference on Artificial Intelligence and Soft Computing, pages 34-39.

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R. Daly, Q. Shen and S. Aitken. Using ant colony optimisation in learning Bayesian network equivalence classes. Proceedings of the 2006 UK Workshop on Computational Intelligence, pages 111-118.

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R. Daly and Q. Shen. A Framework for the Scoring of Operators on the Search Space of Equivalence Classes of Bayesian Network Structures. Proceedings of the 2005 UK Workshop on Computational Intelligence, pages 67-74.

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Edkins Jenny, 'The Criminalisation of Mass Starvations: From Natural Disaster to Crime Against Humanity', In: 'The New Famines: Why Famines Persist in an Era of Globalisation', (New York: Routledge), pp.50-65, 2006 RAE2008

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Wydział Biologii: Instytut Biologii Molekularnej i Biotechnologii Zakład Genetyki Molekularnej Człowieka

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Popular culture is a powerful, shaping force in the lives of teenagers between the ages of fourteen through eighteen in the United States today. This dissertation argues the importance of popular fiction for adolescent spiritual formation and it investigates that importance by exploring the significance of narrative for theology and moral formation. The dissertation employs mythic and archetypal criticism as a tool for informing the selection and critique of narratives for use in adolescent spiritual development and it also incorporates insights gained from developmental psychology to lay the groundwork for the development of a curriculum that uses young adult fiction in a program of spiritual formation for teenagers in a local church setting. The dissertation defends the power of narrative in Christian theology and concludes that narrative shapes the imagination in ways that alter perception and are important for the faith life of teenagers in particular. I go on to argue that not all narratives are created equal. In using literary myth criticism in concert with theology, I use the two disciplines’ different aims and methods to fully flesh out the potential of theologies intrinsic to works meant for a largely secular audience. The dissertation compares various works of young adult fiction (M.T. Anderson’s Feed and Terry Pratchett’s Nation in dialogue with a theology of creation; Marcus Zusak’s I am the Messenger and Jerry Spinelli’s Stargirl in dialogue with salvation and saviors; and the four novels of Stephanie Meyer’s Twilight saga in dialogue with a theology of hope (eschatology). The dissertation explores how each theme surfaces (even if only implicitly) from both literary and theological standpoints. The dissertation concludes with a sample four-week lesson plan that demonstrates one way the theological and literary critique can be formed into a practical curriculum for use in an adolescent spiritual development setting. Ultimately, this dissertation provides a framework for how practitioners of young adult formation can select, analyze, and develop materials for their teenagers using new works of popular young adult fiction. The dissertation comes to the conclusion that popular fiction contains a wealth of material that can challenge and shape young readers’ own emerging theology.

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The performance of a randomized version of the subgraph-exclusion algorithm (called Ramsey) for CLIQUE by Boppana and Halldorsson is studied on very large graphs. We compare the performance of this algorithm with the performance of two common heuristic algorithms, the greedy heuristic and a version of simulated annealing. These algorithms are tested on graphs with up to 10,000 vertices on a workstation and graphs as large as 70,000 vertices on a Connection Machine. Our implementations establish the ability to run clique approximation algorithms on very large graphs. We test our implementations on a variety of different graphs. Our conclusions indicate that on randomly generated graphs minor changes to the distribution can cause dramatic changes in the performance of the heuristic algorithms. The Ramsey algorithm, while not as good as the others for the most common distributions, seems more robust and provides a more even overall performance. In general, and especially on deterministically generated graphs, a combination of simulated annealing with either the Ramsey algorithm or the greedy heuristic seems to perform best. This combined algorithm works particularly well on large Keller and Hamming graphs and has a competitive overall performance on the DIMACS benchmark graphs.

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The human body is colonized by an enormous population of bacteria (microbiota) that provides the host with coding capacity and metabolic activities. Among the human gut microbiota are health-promoting indigenous species (probiotic bacteria) that are commonly consumed as live dietary supplements. Recent genomics-based studies (probiogenomics) are starting to provide insights into how probiotic bacteria sense and adapt to the gastrointestinal tract environment. In this Review, we discuss the application of probiogenomics in the elucidation of the molecular basis of probiosis using the well-recognized model probiotic bacteria genera Bifidobacterium and Lactobacillus as examples.

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Existing Building/Energy Management Systems (BMS/EMS) fail to convey holistic performance to the building manager. A 20% reduction in energy consumption can be achieved by efficiently operated buildings compared with current practice. However, in the majority of buildings, occupant comfort and energy consumption analysis is primarily restricted by available sensor and meter data. Installation of a continuous monitoring process can significantly improve the building systems’ performance. We present WSN-BMDS, an IP-based wireless sensor network building monitoring and diagnostic system. The main focus of WSN-BMDS is to obtain much higher degree of information about the building operation then current BMSs are able to provide. Our system integrates a heterogeneous set of wireless sensor nodes with IEEE 802.11 backbone routers and the Global Sensor Network (GSN) web server. Sensing data is stored in a database at the back office via UDP protocol and can be access over the Internet using GSN. Through this demonstration, we show that WSN-BMDS provides accurate measurements of air-temperature, air-humidity, light, and energy consumption for particular rooms in our target building. Our interactive graphical user interface provides a user-friendly environment showing live network topology, monitor network statistics, and run-time management actions on the network. We also demonstrate actuation by changing the artificial light level in one of the rooms.

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Buildings consume 40% of Ireland's total annual energy translating to 3.5 billion (2004). The EPBD directive (effective January 2003) places an onus on all member states to rate the energy performance of all buildings in excess of 50m2. Energy and environmental performance management systems for residential buildings do not exist and consist of an ad-hoc integration of wired building management systems and Monitoring & Targeting systems for non-residential buildings. These systems are unsophisticated and do not easily lend themselves to cost effective retrofit or integration with other enterprise management systems. It is commonly agreed that a 15-40% reduction of building energy consumption is achievable by efficiently operating buildings when compared with typical practice. Existing research has identified that the level of information available to Building Managers with existing Building Management Systems and Environmental Monitoring Systems (BMS/EMS) is insufficient to perform the required performance based building assessment. The cost of installing additional sensors and meters is extremely high, primarily due to the estimated cost of wiring and the needed labour. From this perspective wireless sensor technology provides the capability to provide reliable sensor data at the required temporal and spatial granularity associated with building energy management. In this paper, a wireless sensor network mote hardware design and implementation is presented for a building energy management application. Appropriate sensors were selected and interfaced with the developed system based on user requirements to meet both the building monitoring and metering requirements. Beside the sensing capability, actuation and interfacing to external meters/sensors are provided to perform different management control and data recording tasks associated with minimisation of energy consumption in the built environment and the development of appropriate Building information models(BIM)to enable the design and development of energy efficient spaces.