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The management of information in engineering organisations is facing a particular challenge in the ever-increasing volume of information.
The obtained results highlight the potential of using location-aware technologies for rapidly identifying and retrieving contextual information in engineering applications.
A fuzzy evaluation process in the proposed framework is investigated to deal with uncertainty and manage heterogeneous information in engineering evaluation processes.
Consequently, the results evaluate the flexibility of ozonation system associated with high silica zeolites and UV radiation for the removal of DMP and provide the useful information in engineering application.
The goals of this study are to experimentally characterize the capabilities of a self-bending reconfigurable microstructure, provide fundamental information in engineering design, and validate simulations of physics-based models.
Here, we demonstrate the coupling between the Algebraic Structure-Based Model (ASBM) and the one-equation Spalart Allmaras (SA) model, which provides an easy route to bringing structure information in engineering turbulence closures.
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These barriers and their implications for improving information management are discussed with respect to the information flow in engineering SMEs and a number of important considerations are highlighted.
This synthesises and extends theory on mediation and information use in engineering design.
To this end, after describing knowledge and information typologies in engineering activities, a knowledge management system is proposed.
Conventional design support software tools cannot effectively manage the complex, heterogeneous information used in engineering and architecture (EA) tasks.
An essential aspect of the platform is the semantic backend as means for appropriate information provision in engineering.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com