The use of observations of soft X-rays and protons in the UMASEP scheme for making real-time predictions of the SEP events that took place in july and september 2017

The UMASEP-10 tool [Núñez, 2011] works in an operational level since 2010, and its >10 MeV Solar Energetic Proton (SEP) predictions are diseminated by NASA’s integrated Space Weather Analysis system (iSWA). This presentation shows the real-time predictions of the SEP events that took place in July and September 2017. The UMASEP-10 tool predicts the occurrence and intensity of the first hours of >10 MeV SEP events using the Well-Connected prediction (WCP) model and the Poorly-Connected prediction (PCP) model. The WCP model infers the observer's interplanetary magnetic field connection to the shock source by correlating remote sensing SXR and proton data at near-Earth. This poster also presents a summary of the predictions of the UMASEP-100 [Núñez, 2015] and HESPERIA UMASEP-500 [Núñez et al., 2017] tools for predicting >100 MeV and >500 MeV events, respectively, during the aforementioned period.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Implicit method for nonlinear complex diffusion with applications to image denoising

In this paper we focus on the development and implementation of an implicit finite difference method for solving a complex diffusion differential equation with applications to noise filtering in images. We give a complete characterization of the implementation of the fully implicit method, including the characterization of the derivatives for Newton's method at each step. In order to show the feasibility of the method, we compare the implicit method with the semi-implicit and apply it to both in vivo images of the human retina by optical coherence tomography (OCT) and standard images (Lena and the Cameraman). We compute noise removal performance metrics to show the effect of several parameters in the performance of the method.info:eu-repo/semantics/publishedVersio

Artifact Lifecycle Discovery

Artifact-centric modeling is a promising approach for modeling business processes based on the so-called business artifacts - key entities driving the company's operations and whose lifecycles define the overall business process. While artifact-centric modeling shows significant advantages, the overwhelming majority of existing process mining methods cannot be applied (directly) as they are tailored to discover monolithic process models. This paper addresses the problem by proposing a chain of methods that can be applied to discover artifact lifecycle models in Guard-Stage-Milestone notation. We decompose the problem in such a way that a wide range of existing (non-artifact-centric) process discovery and analysis methods can be reused in a flexible manner. The methods presented in this paper are implemented as software plug-ins for ProM, a generic open-source framework and architecture for implementing process mining tools

Community in Tension (CiT)

The development and availability of Information Communication Technology (ICT) impacts many sectors yet a digital divide is still present amongst citizens in communities. Not only is there a digital divide evident but also many other factors that causes tension in communities. This paper defines a Community in Tension (CiT) as a community where the wellbeing of its citizens is being threatened. This provides an opportunity to use these available ICTs in communities and have it locally appropriated to empower the citizens and stabilise these communities