Ana Fernández-Vilas

Dr. Ana Fernández-Vilas

AtlanTTic Research Center, Universidade de Vigo, Vigo, Galicia, Spain
orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 September 2020 in Multimedia Tools and Applications
Verified
Journal Article
Open access
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Rebeca P. Díaz RedondoRebeca P. Díaz Redondo
Rebeca P. Díaz Redondo
MCManuel Caeiro-Rodríguez
Manuel Caeiro-Rodríguez
JEJuan José López Escobar
Juan José López Escobar
Ana Fernández-VilasAna Fernández-Vilas
Ana Fernández-Vilas
Lifelong learning requires appropriate solutions, especially for corporate training. Workers usually have difficulty combining training and their normal work. In this context, micro-learning emerges as a suitable solution, since it is based on breaking down new concepts into small fragments or pills of content, which can be consumed in short periods of time. The purpose of this paper is twofold. First, we offer an updated overview of the research on this training paradigm, as well as the different technologies leading to potential commercial solutions. Second, we introduce a proposal to add micro-learning content to more formal distance learning environments (traditional Learning Management Systems or LMS), with the aim of taking advantage of both learning philosophies. Our approach is based on a Service-Oriented Architecture (SOA) that is deployed in the cloud. In order to ensure the full integration of the micro-learning approach in traditional LMSs, we have used two well-known standards in the distance learning field: LTI (Learning Tools Interoperability) and LIS (Learning Information Service). The combination of these two technologies allows the exchange of data with the LMS to monitor the student’s activity and results. Finally, we have collected the opinion of lectures from different countries in order to know their thoughts about the potential of this new approach in higher education, obtaining positive feedback.

1 May 2008 in Knowledge-Based Systems
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Journal Article
Closed access
Yolanda Blanco FernándezYolanda Blanco Fernández
Yolanda Blanco Fernández
Jose Pazos-AriasJose Pazos-Arias
Jose Pazos-Arias
Alberto GilAlberto Gil
Alberto Gil
MRManuel Ramos-Cabrer
Manuel Ramos-Cabrer
Martín López NoresMartín López Nores
Martín López Nores
JBJesús Bermejo-Muñoz
Jesús Bermejo-Muñoz

1 December 2008 in Journal of Systems and Software
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Journal Article
Closed access
Yolanda Blanco FernándezYolanda Blanco Fernández
Yolanda Blanco Fernández
Jose Pazos-AriasJose Pazos-Arias
Jose Pazos-Arias
Alberto GilAlberto Gil
Alberto Gil
MRManuel Ramos-Cabrer
Manuel Ramos-Cabrer
Martín López NoresMartín López Nores
Martín López Nores
Rebeca P. Díaz RedondoRebeca P. Díaz Redondo
Rebeca P. Díaz Redondo

2 April 2007 in IEEE Transactions on Consumer Electronics
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Journal Article
Closed access
Rebeca P. Díaz RedondoRebeca P. Díaz Redondo
Rebeca P. Díaz Redondo
Ana Fernández-VilasAna Fernández-Vilas
Ana Fernández-Vilas
MCM.R. Cabrer
M.R. Cabrer
Jose Pazos-AriasJose Pazos-Arias
Jose Pazos-Arias
We propose a scheme to support the composition of OSGi services as result of orchestrating atomic services at run-time. With this proposal the OSGi potentiality increases because of the huge amount of new services that can be offered as a result of appropriate combinations. To specify the service composition we propose a totally transparent BPEL-style solution which does not break the OSGi standard. However, the syntactic matchmaking provided by the OSGi standard does not enable a flexible enough automatic service composition. Thus, we propose to define a semantic OSGi platform, which combined with the BPEL-style solution fits all the OSGi service composition requirements.

17 July 2020 in Sensors
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Journal Article
Open access
PDF file
Rebeca P. Díaz RedondoRebeca P. Díaz Redondo
Rebeca P. Díaz Redondo
Ana Fernández-VilasAna Fernández-Vilas
Ana Fernández-Vilas
GRGabriel Fernández dos Reis
Gabriel Fernández dos Reis
Smart meters are of the basic elements in the so-called Smart Grid. These devices, connected to the Internet, keep bidirectional communication with other devices in the Smart Grid structure to allow remote readings and maintenance. As any other device connected to a network, smart meters become vulnerable to attacks with different purposes, like stealing data or altering readings. Nowadays, it is becoming more and more popular to buy and plug-and-play smart meters, additionally to those installed by the energy providers, to directly monitor the energy consumption at home. This option inherently entails security risks that are under the responsibility of householders. In this paper, we focus on an open solution based on Smartpi 2.0 devices with two purposes. On the one hand, we propose a network configuration and different data flows to exchange data (energy readings) in the home. These flows are designed to support collaborative among the devices in order to prevent external attacks and attempts of corrupting the data. On the other hand, we check the vulnerability by performing two kind of attacks (denial of service and stealing and changing data by using a malware). We conclude that, as expected, these devices are vulnerable to these attacks, but we provide mechanisms to detect both of them and to solve, by applying cooperation techniques.

11 March 2015 in PLOS ONE
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Journal Article
Open access
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SSSandra Servia-Rodríguez
Sandra Servia-Rodríguez
ANAnastasios Noulas
Anastasios Noulas
CMCecilia Mascolo
Cecilia Mascolo
Ana Fernández-VilasAna Fernández-Vilas
Ana Fernández-Vilas
Rebeca P. Díaz RedondoRebeca P. Díaz Redondo
Rebeca P. Díaz Redondo
Collaboration among scholars and institutions is progressively becoming essential to the success of research grant procurement and to allow the emergence and evolution of scientific disciplines. Our work focuses on analysing if the volume of collaborations of one author together with the relevance of his collaborators is somewhat related to his research performance over time. In order to prove this relation we collected the temporal distributions of scholars’ publications and citations from the Google Scholar platform and the co-authorship network (of Computer Scientists) underlying the well-known DBLP bibliographic database. By the application of time series clustering, social network analysis and non-parametric statistics, we observe that scholars with similar publications (citations) patterns also tend to have a similar centrality in the co-authorship network. To our knowledge, this is the first work that considers success evolution with respect to co-authorship.