The flatness factor F of the signal transmitted through a band-pass filter has been measured for the turbulence in a free shear layer and for a squared Gaussian noise. They both show flatness factor increasing with centre frequency fc. In the turbulence, band-passed signals look intermittent and have larger F than the full signal, but in the squared noise, band-passed signals all have smaller F than the full signal although they look more intermittent.It is shown analytically that the derivative of a smoothed, squared Gaussian noise may have flatness factor either greater or less than the undifferentiated signal.
Purpose: Development of a practitioner oriented diagnostic framework and health check tool to support the robust assessment of engineering and technology projects. Design/methodology/approach: The research is based on a literature review that draws together insights on project assessment and critical success factors to establish an integrated systems view of projects. This is extended to allow a comprehensive diagnostic framework to be developed along with a high-level health check tool that can be readily deployed on projects. The utility of the diagnostic framework and health check tool are explored through three illustrative case studies, with two from Canada and one from the United Kingdom. Findings and Originality/value: The performance of engineering and technology projects can be viewed through a systems perspective and being a function of six contributing subsystems that are: process, technology, resources, impact, knowledge and culture. The diagnostic framework that is developed through this research integrates these subsystems to provide a robust assessment methodology for projects, which is linked to existing best practice for project reviews, performance management and maturity models. The case studies provide managerial insights that are related to the diagnostic framework but crucially also position the approach in the context of industrial applications for construction engineering and technology management.
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