Delivering content adapted to not only an end user’s needs and preferences, but also to their context and environment presents a number of research challenges. The multi-modal nature of content delivery coupled with the diversity of interests and requirements of a user means that a large number of techniques and mechanisms may need to be employed to tailor the content delivered. However, it is ...

In this paper, we generalize the definitions of transitivity, reflexivity, symmetry, euclidean and serial properties of relations in the context of a functional approach for temporal×modal logic. The main result is the proof of definability of these definitions which is obtained by using algebraic characterizations. As a consequence, we will have in our temporal×modal context the generalization...

The aim of this paper is to present a CAE methodology for simulating coupled vibro-acoustic systems and include these models into a closed loop control simulation. This tool provides a reliable simulation procedure that takes into account the vibro-acoustic phenomena as well as the control system since sensors/actuators models and the control algorithms can be included. The focus of the present...

FRF based substructuring (FBS) predicts the dynamic behaviour of a coupled system on the basis of freeinterface FRFs of the uncoupled components. The modal synthesis technique determines the dynamic behaviour of a coupled system on the basis of a normal mode description of the uncoupled components. This paper gives a brief description of the theoretical background of these techniques. When usin...

A perturbation theoretic approach is proposed as an efficient characterization tool for a tapered fiber coupled ultrahigh-quality factor Q toroidal microcavity with a small inverse aspect ratio. The Helmholtz equation with an assumption of quasi-TE/TM modes in local toroidal coordinates is solved via a power series expansion in terms of the inverse aspect ratio and the expanded eigenmode soluti...

A better similarity mapping function across heterogeneous high-dimensional features is very desirable for many applications involving multi-modal data. In this paper, we introduce coupled dictionary learning (DL) into supervised sparse coding for multi-modal (crossmedia) retrieval. We call this Supervised coupleddictionary learning with group structures for MultiModal retrieval (SliM). SliM for...

this paper addresses synchronizing two coupled chaotic fitzhugh–nagumo (fhn) neurons with weakly gap junction under external electrical stimulation (ees). to transmit information among coupled neurons, by generalization of the integer-order fhn equations of the coupled system into the fractional-order in frequency domain using crone approach, the behavior of each coupled neuron relies on its pa...

Efficient numerical methods are required for the design of optimised devices. In magnonics, primary computational tool is micromagnetic simulations, which solve Landau-Lifshitz equation discretised in time and space. However, their cost high, complexity output hinders insight into physics simulated system, especially case multimode propagating wave-based We propose a finite-element modal method...

The output data from a structure is the building block for output-only modal analysis. The structure response in the output data, however, is usually contaminated with noise. Naturally, the success of output-only methods in determining the modal parameters of a structure depends on noise level. In this paper, the possibility and accuracy of identifying the modal parameters of a simply supported...