55 resultados para new technologies in teaching


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Aircraft Maintenance, Repair and Overhaul (MRO) agencies rely largely on row-data based quotation systems to select the best suppliers for the customers (airlines). The data quantity and quality becomes a key issue to determining the success of an MRO job, since we need to ensure we achieve cost and quality benchmarks. This paper introduces a data mining approach to create an MRO quotation system that enhances the data quantity and data quality, and enables significantly more precise MRO job quotations. Regular Expression was utilized to analyse descriptive textual feedback (i.e. engineer’s reports) in order to extract more referable highly normalised data for job quotation. A text mining based key influencer analysis function enables the user to proactively select sub-parts, defects and possible solutions to make queries more accurate. Implementation results show that system data would improve cost quotation in 40% of MRO jobs, would reduce service cost without causing a drop in service quality.

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This article arises from a research project funded by the Subject Centre for Sociology, Anthropology and Politics and a literature review on ‘interdisciplinarity’ commissioned by the Subject Centre for Languages, Linguistics and Area Studies (Chettiparamb, 2007). It attempts to unpack how disciplinarity and interdisciplinarity are created through pedagogy in higher education at the module level while teaching an interdisciplinary subject such as ‘urban studies’. In particular, comparisons are made between the teaching aims and methods in two disciplines: planning and sociology. Comparisons are also made between the approach of two types of universities – a pre-1992 university and a post-1992 university. The article argues that the differences between the universities are more profound than the differences between the disciplines. The research reveals two key findings. In the pre-1992 university case study, even though the ‘contributing’ subject domains of the disciplines are similar, the disciplinary identities are maintained and accomplished in subtle ways. In contrast, in the post-1992 university, disciplinary boundaries are not so purposefully maintained, resulting in the realisation of a different construction of interdisciplinarity.

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Early and effective flood warning is essential to initiate timely measures to reduce loss of life and economic damage. The availability of several global ensemble weather prediction systems through the “THORPEX Interactive Grand Global Ensemble” (TIGGE) archive provides an opportunity to explore new dimensions in early flood forecasting and warning. TIGGE data has been used as meteorological input to the European Flood Alert System (EFAS) for a case study of a flood event in Romania in October 2007. Results illustrate that awareness for this case of flooding could have been raised as early as 8 days before the event and how the subsequent forecasts provide increasing insight into the range of possible flood conditions. This first assessment of one flood event illustrates the potential value of the TIGGE archive and the grand-ensembles approach to raise preparedness and thus to reduce the socio-economic impact of floods.