Ambient Intelligence aims at pushing forward a user centric vision of Pervasive Computing, where the environment better serves our need. This paper describes our current work on modelling and managing context information for smart environments.

Numerical modelling and simulation provide an efficient tool for analysis and optimization of device structure design. In this paper we present the analysis and the geometry optimization of the power module with high power pin diode structure supported by the advanced 2-D/3-D mixed-mode electro-thermal device simulation. The structure under investigation is P + NN + power diode device designed ...

ABSTRACT Among the properties shaping light of a galaxy, star formation history (SFH) is one most challenging to model due variety correlated physical processes regulating formation. In this work, we leverage stellar population synthesis fsps, together with SFHs predicted by hydrodynamical simulation IllustrisTNG and empirical universemachine, study impact variability on galaxy colours. We star...

Land-use modelling and spatial scenarios have gained increased attention as a means to meet the challenge of reducing uncertainty in the spatial planning and decision-making. Several organisations have developed software for land-use modelling. Many of the recent modelling efforts incorporate cellular automata (CA) to accomplish spatially explicit land-use change modelling. Spatial interaction ...

A computational study has been carried out to investigate smouldering ignition and propagation in polyurethane foam. The one-dimensional, transient, governing equations for smouldering combustion in a porous fuel are solved accounting for improved solid-phase chemical kinetics. Forward and opposed smouldering modes are examine and the model describes well both propagation modes. Specifically, t...

Volatility (or risk) is a key variable in many areas of finance, and there are many applications that require an accurate estimate of volatility. One important application is in designing optimal dynamic hedging strategies. Engle (1982) proposed an autoregressive conditional heteroscedasticity (ARCH) model, which allows the conditional variance to change over time. This model has been extended ...

The task of composing Web services workflow can be unwieldy for a huge size Web services network. The challenge is even intensified when dealing with continuous changes of the business practices, processes and transactions. The dynamic business environment compels the Web service providers to do high maintenance for the directory update to ensure validity, consistency and seamless service searc...

In learning deep generative models, the encoder for variational inference is typically formed in an ad hoc manner with a structure and parametrization analogous to the forward model. Our chief insight is that this results in coarse approximations to the posterior, and that the d-separation properties of the BN structure of the forward model should be used, in a principled way, to produce ones t...

1 We consider reconstruction of a wave…eld distribution in an input/object plane from data in an output/di¤raction (sensor) plane. A contribution of this paper concerns both a digital modelling for the forward and backward wave…eld propagation. A novel algebraic matrix form of the discrete di¤raction transform (DDT) originated in [1] is proposed for the forward modelling which is aliasing free ...

Public health related decisions often have to balance the cost of intervention strategies with the benefit of the reduction in disease burden. While the cost can often be inferred, forward modelling of the effect of different intervention options is complicated and disease specific. Here we introduce a package that is aimed to simplify this process. The package allows one to infer parameters us...