3 resultados para specific dynamic action

em Repository Napier


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Developing learning, teaching and assessment strategies that foster ongoing engagement and provide inspiration to academic staff is a particular challenge. This paper demonstrates how an institutional learning, teaching and assessment strategy was developed and a ‘dynamic’ strategy created in order to achieve the ongoing enhancement of the quality of the student learning experience. The authors use the discussion of the evolution, development and launch of the Strategy and underpinning Resource Bank to reflect on the hopes and intentions behind the approach; firstly the paper will discuss the collaborative and iterative approach taken to the development of an institutional learning, teaching and assessment strategy; and secondly, the development of open access educational resources to underpin the strategy. The paper then outlines staff engagement with the resource bank and positive outcomes which have been identified to date, identifies the next steps in achieving the ambition behind the strategy and outlines the action research and fuller evaluation which will be used to monitor progress and ensure responsive learning at institutional level.

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The proposed research will focus on developing a novel approach to solve Software Service Evolution problems in Computing Clouds. The approach will support dynamic evolution of the software service in clouds via a set of discovered evolution patterns. An initial survey informed us that such an approach does not exist yet and is in urgent need. Evolution Requirement can be classified into evolution features; researchers can describe the whole requirement by using evolution feature typology, the typology will define the relation and dependency between each features. After the evolution feature typology has been constructed, evolution model will be created to make the evolution more specific. Aspect oriented approach can be used for enhance evolution feature-model modularity. Aspect template code generation technique will be used for model transformation in the end. Product Line Engineering contains all the essential components for driving the whole evolution process.

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In the half-duplex relay channel applying the decode-and-forward protocol the relay introduces energy over random time intervals into the channel as observed at the destination. Consequently, during simulation the average signal power seen at the destination becomes known at run-time only. Therefore, in order to obtain specific performance measures at the signal-to-noise ratio (SNR) of interest, strategies are required to adjust the noise variance during simulation run-time. It is necessary that these strategies result in the same performance as measured under real-world conditions. This paper introduces three noise power allocation strategies and demonstrates their applicability using numerical and simulation results.