19 research outputs found

    Influence of firm size on the competencies required to management engineers in the Jordanian telecommunications sector

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    This is an Accepted Manuscript of an article published by Taylor & Francis in European Journal of Engineering Education on [13 jun 2016], available online:http://www.tandfonline.com/ doi/abs/10.1080/03043797.2016.1197890.[EN] The objective of this study is to identify the competencies required to achieve success in the transition from higher education to the labour market based on the perceptions of employers. This paper analyses the assessments made by a group of engineering company employers. An item-battery of 20 competencies was grouped into 3 dimensions by using factor analysis. Subsequently, respondents scores were also clustered into three groups and characterised through contingency tables. The competencies demanded by employers were grouped into business and finance, problem-solving and strategic planning. Significant differences were found between responses from employers working in medium and small companies, who placed more importance on competencies related to problem-solving and strategic planning, and employers in big companies, who were more concerned about the difficulties of finding well-trained graduates. The findings from this paper have important implications for research in the areas of higher education and organisations that usually employ graduate engineers.The authors would like to thank the Education, Audiovisual and Culture Executive Agency (EACEA) [Tempus program. Project number 511074] of the European Commission for providing funding for conducting this study. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.Conchado Peiró, A.; Bas Cerdá, MDC.; Gharaibeh, KM.; Kaylani, H. (2016). 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    A technique for power supply harmonic impedance estimation using a controlled voltage disturbance

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    Modular sensor architecture for unobtrusive routine clinical diagnosis

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    Clinical diagnosis of pathological conditions is accomplished regularly via the recording and subsequent analysis of a physiological variable from a subject. Problems with current common practice centre around the obtrusive and rigid nature of this process. These include the length, timing and location of the diagnostic recording session, transfer of data to clinical staff, liaison between clinical staff and subjects and the integration of such diagnostic check-ups into the overall health care process. We have designed a modular diagnostic monitor that is centered around a wearable computer system which, when integrated into a suitable computer network and database architecture, is capable of addressing the above problems. The system is modular, allowing researchers and practitioners to utilise various sensor modules, reconfigure the unit in terms of its on-board storage and wireless telemetry capabilities, select the appropriate level of data preprocessing (before archiving data) and choose the appropriate level and nature of feedback to the subject. The system is GRID enabled, supporting e-clinical-trials. GRID clients can display live data, historical data, or perform data mining

    e-Science from the Antarctic to the GRID

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    Monitoring life-processes in a frozen lake in the Antarctic raises many practical challenges. To supplement manual monitoring we have designed, built and successfully deployed a remote monitoring device on one of the lakes of interest. This returns data to the Antarctic base over the Iridium satellite phone network. This provides us with a new and uniquely detailed view of the lifeprocesses in that environment, and is allowing us to understand that environment in new ways, for example exploring diurnal effects, and detailed energy flow models. We have integrated this sensing device into a common Grid-based software infrastructure; this makes the device and its sensors visible on the Grid as services, and also maintains an archive of sensor measurements. A desktop user interface allows non-programmers to work with this data in a flexible way. The experience of creating and deploying this device has given us a rich view of the many elements and processes that must be brought together to make possible this kind of e-Science
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