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In the present work, a material model development approach and transient non-linear dynamics simulations of the projectile/armor interactions are employed to explore the role of multi-walled carbon-nanotube (MWCNT) reinforcements in improving the ballistic-protection performance of poly-vinyl-ester-epoxy matrix (PVEE /E-glass fiber matrix reinforced laminate armor.
In our pragmatic model development approach, we combined confirmatory and exploratory purposes.
We adopted a model development approach in which we sought to determine the best model fit by modifying pathways between the four areas of interest.
One of the major practical problems in a model development approach is that the methods are very demanding of researchers' methodological skills and content knowledge of the application.
This model development approach used for the background functions above can also be used to decide on the number of underlying frequencies in the data.
A path model development approach was used to identify factors with direct (± indirect) effects on the intention to participate in a falls prevention assessment and multifactorial intervention program over the following year.
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Consequently, there is still a need for the development of robust ANN model development approaches.
This work is performed in the context of a Model Driven Development approach.
No doubt today's Apple commercials will be studied as classics for years to come, but it's the company's corporate culture, business model and development approach that creates a creative multiplier that truly differentiates it.
In this work, model driven development approach is utilized for implementation of emotional learning as a bio-inspired algorithm for embedded purposes.
Our main contributions are (a) a model-driven development approach that combines UML modelling and ontology techniques for the specification of component properties, their validation and their transformation to code, (b) a middleware platform that supports component discovery, compatibility checking and deployment.
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