10,797 research outputs found
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 [NĂșñez, 2011] works in an operational level since 2010, and its >10 MeV Solar Energetic Proton (SEP) predictions are diseminated by NASAâs 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 [NĂșñez, 2015] and HESPERIA UMASEP-500 [NĂșñez et al., 2017] tools for predicting >100 MeV and >500 MeV events, respectively, during the aforementioned period.Universidad de MĂĄlaga. Campus de Excelencia Internacional AndalucĂa 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
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