
Cultural Heritage Preservation through Multispectral Imaging: Preliminary Results from the IMAGO Project
The IMAGO project aims to develop an innovative system that utilizes Multispectral Imaging and
Augmented Reality (AR) techniques for studying and preserving cultural heritage.
Relaxation approximation and asymptotic stability of stratified solutions to the IPM equation
We prove the nonlinear asymptotic stability of stably stratified solutions to the
Incompressible Porous Media equation (IPM) for initial perturbations in ?H1- (R2) ? ?H s(R2)
with s > 3 and for any 0 < < 1. Such result improves the existing literature, where the
asymptotic stability is proved for initial perturbations belonging at least to H20(R2).
More precisely, the aim of the article is threefold. First, we provide a simplified and improved
proof of global-in-time well-posedness of the Boussinesq equations with strongly damped vorticity
in H1- (R2)?
Strong ill-posedness in W1,? of the 2d stably stratified Boussinesq equations and application to the 3d axisymmetric Euler Equations.
We prove the strong ill-posedness of the two-dimensional Boussinesq system in vorticity form in L8pR2q
without boundary, building upon the method that Shikh Khalil & Elgindi arXiv:2207.04556v1 developed for scalar
equations. We provide examples of initial data with vorticity and density gradient of small L8pR2q size, for which the
horizontal density gradient has a strong L8pR2q-norm inflation in infinitesimal time, while the vorticity and the vertical
density gradient remain bounded.
Exploiting the Abstract Calculus Pattern for the Integration of Ordinary Differential Equations for Dynamics Systems: An Object-Oriented Programming Approach in Modern Fortran
This manuscript relates to the exploiting of the abstract calculus pattern (ACP) for the (numerical) solution of ordinary differential equation (ODEs) systems, which are ubiquitous mathematical formulations of many physical (dynamical) phenomena. We present FOODIE, a software suite aimed to numerically solve ODE problems by means of a clear, concise, and efficient abstract interface.
Segment Routing v6 - Security Issues and Experimental Results
SRv6 can provide hybrid cooperation between a centralized network controller and network nodes. IPv6 routers maintain
multi-hop ECMP-aware segments, whereas the controller establishes a source-routed path through the network. Since the
state of the flow is defined at the ingress to the network and then is contained in a specific packet header, called Segment
Routing Header (SRH), the importance of such a header itself is vital. Motivated by the need to study and investigate this
technology, this paper discusses some security-related issues of Segment Routing.
Numerical simulation of a compressible gas flow in porous media bioremendiation
In a subsoil bioremediation intervention air or oxygen is injected in the polluted region and then a model for unsaturated porous media it is required, based on the theory
of the dynamics of multiphase fluids in porous media.
In order to optmize the costs of the intervention it is useful to consider the gas as compressible and this fact introduces nonlinearity in the mathematical model.
The physical problem is described by a system of equations and the unknowns are: pollutant; bacteria concentration; oxygen saturation and oxygen pressure.
A generalized mean-field game model for the dynamics of pedestrians with limited predictive abilities
This paper investigates the model for pedestrian flow firstly proposed in [Cristiani, Priuli, and Tosin, SIAM J. Appl. Math., 75:605-629, 2015]. The model assumes that each individual in the crowd moves in a known domain, aiming at minimizing a given cost functional. Both the pedestrian dynamics and the cost functional itself depend on the position of the whole crowd. In addition, pedestrians are assumed to have predictive abilities, but limited in time.
The adaptive Lasso estimator of AR(p) time series with applications to INAR(p) and Hawkes processes
We study the consistency and the oracle properties of the adaptive Lasso estimator for the coefficients
of a linear AR(p) time series with a strictly stationary white noise (not necessarily described
by i.i.d. r.v.'s). We apply the results to INAR(p) time series and to the non-parametric inference
of the fertility function of a Hawkes point process. We present some numerical simulations to emphasize
the advantages of the proposed procedure with respect to more classical ones and finally
we apply it to a set of epidemiological data





