Common modal decomposition techniques for flowfield analysis, data-driven modeling and flow control, such as proper orthogonal (POD) dynamic mode (DMD) are usually performed in an Eulerian (fixed) frame of reference with snapshots from measurements or evolution equations. The description poses some difficulties, however, when the domain mesh deforms time as, example, fluid-structure interaction...

Scattering from anisotropic geometries of arbitrary shape is relatively difficult to interpret physically, involving the intricate interplay between material and geometric effects. Insights into complex scattering mechanisms are often enabled by modal methods that decompose response well-understood multipolar resonances. Here, we extend generalized normal mode expansion lossy scatterers. Unique...

Modal substructuring or Component Mode Synthesis (CMS) has been standard practice for many decades in the analytical realm, yet a number of significant difficulties have been encountered when attempting to combine experimentally derived modal models with analytical ones or when predicting the effect of structural modifications using experimental measurements. This work presents a new method tha...

Content is increasingly available in multiple modalities (such as images, text, and video), each of which provides a different representation of some entity. The cross-modal retrieval problem is: given the representation of an entity in one modality, find its best representation in all other modalities. We propose a novel approach to this problem based on pairwise classification. The approach s...

For a number of years, temporal and modal logics have been applied outside pure logic in areas such as formal methods, theoretical computer science and artiicial intelligence. In our research we are particularly interested in the use of modal logics in the characterisation of complex components within software systems as intelligent or rational agents. This approach allows the system designer t...

Ear biometric for identification of human is quite complex task. It’s use either uni-modal or multi-modal approach in order to authenticate a person. A uni-modal biometric system involves a single source of biometric to identify a person. This paper is based on uni-modal approach with ear as a biometric trait for recognizing a person. In this paper, an experimental approach is used for identify...

In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two approaches: (1) moment bounding approach and (2) likelihood-based approach. This paper first proposes a ...