One promising idea for regional CC-based networks is to use elementary basic shapes of structures, called structure types.
The determination of the natural frequencies and mode shapes of structures requires an analytical, semi-analytical or numerical method.
In this paper, the modal interval analysis method to estimate modal parameters, frequency response function (FRF), and mode shapes of structures with uncertain-but-bounded is presented.
This work considers the effect that damage has upon the higher order derivatives of mode shapes of structures having primarily beam-like vibration.
In this paper, natural frequencies and mode shapes of structures with mixed random and interval parameters are investigated by using a hybrid stochastic and interval approach.
The basic idea is to perform supervised learning by applying knowledge of the expected shapes of structures, their spatial relationships, and their textural appearance to restrict the automated system to plausible interpretations.
This work shows how difficult it can be to determine how the shapes of structures within cells, such as mitochondria, are controlled as one protein can have many roles that cannot be easily teased apart.
The shape of the structuring element defines which content will be removed from the image.
A method to find optimal topology and shape of structures is presented.
Desired outer shape of structure was maintained when the alginate solution was cross-linked with the applied method.
