856 resultados para Wetlands and natural resource management


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The farm-gate value of extensive beef production from the northern Gulf region of Queensland, Australia, is ~$150 million annually. Poor profitability and declining equity are common issues for most beef businesses in the region. The beef industry relies primarily on native pasture systems and studies continue to report a decline in the condition and productivity of important land types in the region. Governments and Natural Resource Management groups are investing significant resources to restore landscape health and productivity. Fundamental community expectations also include broader environmental outcomes such as reducing beef industry greenhouse gas emissions. Whole-of-business analysis results are presented from 18 extensive beef businesses (producers) to highlight the complex social and economic drivers of management decisions that impact on the natural resource and environment. Business analysis activities also focussed on improving enterprise performance. Profitability, herd performance and greenhouse emission benchmarks are documented and discussed.

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4th International Conference on Future Generation Communication Technologies (FGCT 2015), Luton, United Kingdom.

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The following paper presents an overview of the Ph.D Thesis1 presented in [1], which compiles all the research done during the period of time between 2004-2007. In that dissertation the relay-assisted transmission with half-duplex relays is analyzed from different points of view. This study is motivated by the necessity of finding innovative solutions to cope with the requirements of next generation wireless services, and with current radio technology. The use of relayed communications represents a change of paradigm of conventional communications, and requires the definition and evaluation of protocols to be applied to single or multiple-user relay communication. With the two fold goal of enhancing spectral efficiency and homogenize service in cellular communications, system design is investigated at physical (type of transmissions of the relay, decoding mode, ..) and upper layers (resource allocation, dynamic link control).

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We build a theoretical framework that allows for endogenous conflict behaviour (i.e., fighting efforts) and for endogenous natural resource exploitation (i.e., speed, ownership, and investments). While depletion is spread in a balanced Hotelling fashion during peace, the presence of conflict creates incentives for rapacious extraction, as this lowers the stakes of future contest. This voracious extraction depresses total oil revenue, especially if world oil demand is relatively elastic and the government's weapon advantage is weak. Some of these political distortions can be overcome by bribing rebels or by government investment in weapons. The shadow of conflict can also make less efficient nationalized oil extraction more attractive than private extraction, as insecure property rights create a holdup problem for the private firm and lead to a lower license fee. Furthermore, the government fights less intensely than the rebels under private exploitation, which leads to more government turnover. Without credible commitment to future fighting efforts, private oil depletion is only lucrative if the government's non-oil office rents are large and weaponry powerful, which guarantees the government a stronger grip on office and makes the holdup problem less severe.

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Cultura organizacional e gestão de recursos humanos (GRH) são componentes fundamentais para a estratégia corporativa raramente estudada no contexto das pequenas e médias empresas (PME) no setor de serviços profissionais, um ambiente no qual o capital humano das empresas companhias é particularmente importante. Um estudo de caso de uma empresa de gestão de investimentos inglesa foi realizado. A PME quase triplicou o seu quadro de funcionários, de menos de 50 a mais de 140, nos últimos seis anos. Cultura e GRH foram pesquisadas tanto historicamente quanto no momento atual por meio de uma combinação de entrevistas individuais, observação direta durante as visitas ao local e análise documental. Foi verificado que a G RH (junto com um número de outras estruturas e processos internos) tornou-se mais formal, apesar do fato de que a empresa começou com políticas de RH relativamente desenvolvidas, em comparação com outras pequenas empresas. Uma possível explicação para esta estruturação das práticas de RH é que empresas do setor de serviços profissionais tendem a dar uma importância especial à qualidade da sua força de trabalho. Esta relativa estabilidade cultural pode ser explicada pelo fato da cultura ser forte e é mantida tanto inconscientemente quanto conscientemente, por meio de mecanismos como o planejamento de pessoal, recrutamento e remuneração. As conclusões, por conseguinte, demonstram que as atitudes e percepções nem sempre mudam tão rápido quanto sistemas organizacionais, e que a relação entre cultura e gestão de recursos humanos pode ser complexa; a formalização da GRH pode reforçar a mudança cultural em certos aspectos, ao mesmo tempo abrandá-lo em outros.

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This thesis presents several data processing and compression techniques capable of addressing the strict requirements of wireless sensor networks. After introducing a general overview of sensor networks, the energy problem is introduced, dividing the different energy reduction approaches according to the different subsystem they try to optimize. To manage the complexity brought by these techniques, a quick overview of the most common middlewares for WSNs is given, describing in detail SPINE2, a framework for data processing in the node environment. The focus is then shifted on the in-network aggregation techniques, used to reduce data sent by the network nodes trying to prolong the network lifetime as long as possible. Among the several techniques, the most promising approach is the Compressive Sensing (CS). To investigate this technique, a practical implementation of the algorithm is compared against a simpler aggregation scheme, deriving a mixed algorithm able to successfully reduce the power consumption. The analysis moves from compression implemented on single nodes to CS for signal ensembles, trying to exploit the correlations among sensors and nodes to improve compression and reconstruction quality. The two main techniques for signal ensembles, Distributed CS (DCS) and Kronecker CS (KCS), are introduced and compared against a common set of data gathered by real deployments. The best trade-off between reconstruction quality and power consumption is then investigated. The usage of CS is also addressed when the signal of interest is sampled at a Sub-Nyquist rate, evaluating the reconstruction performance. Finally the group sparsity CS (GS-CS) is compared to another well-known technique for reconstruction of signals from an highly sub-sampled version. These two frameworks are compared again against a real data-set and an insightful analysis of the trade-off between reconstruction quality and lifetime is given.