Rebeca P. Díaz Redondo

Rebeca P. Díaz Redondo
University of Vigo | UVIGO · AtlantTIC research center

PhD on Telecommunication Engineering

About

203
Publications
39,953
Reads
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2,529
Citations
Citations since 2017
63 Research Items
1214 Citations
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Introduction
I am a Telecommunications Engineer from the University of Vigo (1997) with a PhD in Telecommunication Engineering from the same university (2002). My research interests focus on social mining techniques for characterizing the behavior of intelligent communities and their application in educational and social environments.I have also participated in more than 25 research projects and in 5 EACEA projects. You can find my research & teaching actvities at http://iclab.det.uvigo.es/~rebeca/
Education
January 1998 - February 2002
University of Vigo
Field of study
  • Telematics Engineering
September 1992 - September 1997
University of Vigo
Field of study
  • Telecommunicacion Engineering

Publications

Publications (203)
Article
Full-text available
The advent and consolidation of the Massive Internet of Things (MIoT) comes with a need for new architectures to process the massive amount of generated information. A new approach, Mist Computing, entails a series of changes compared to previous computing paradigms, such as Cloud and Fog Computing, with regard to extremely low latency, local smart...
Article
Full-text available
The Internet of Medical Things (IoMT) has dramatically benefited medical professionals that patients and physicians can access from all regions. Although the automatic detection and prediction of diseases such as melanoma and leukemia is still being investigated and studied in IoMT, existing approaches are not able to achieve a high degree of effic...
Article
Full-text available
Pneumonia is a life-threatening lung infection resulting from several different viral infections. Identifying and treating pneumonia on chest X-ray images can be difficult due to its similarity to other pulmonary diseases. Thus, the existing methods for predicting pneumonia cannot attain substantial levels of accuracy. This paper presents a compute...
Article
Full-text available
Since no solutions have been proposed in Colombia that seek to reduce the consumption of electricity at the residential level, this paper describes the design and implementation of a simple prototype of a low-cost home energy management system (HEMS). The objective of this platform is to monitor the energy consumption of typical household devices s...
Article
Trending topics on forums or social networks are now being analysed to know our preferences and needs. This line of thought can be applied to the educational context. In this study we want to analyze what information on the profile of students can be inferred by analyzing their performance in educational forums and if it is possible to classify the...
Article
Full-text available
This study reports the impact of examining either with digital or paper-based tests in science subjects taught across the secondary level. With our method, we compare the percentile ranking scores of two cohorts earned in computer- and paper-based teacher-made assessments to find signals of a testing mode effect. It was found that overall, at cohor...
Article
Full-text available
With the exponential increase in information, it has become imperative to design mechanisms that allow users to access what matters to them as quickly as possible. The recommendation system (RS) with information technology development is the solution, it is an intelligent system. Various types of data can be collected on items of interest to users...
Article
Full-text available
Food retailing is now on an accelerated path to a success penetration into the digital market by new ways of value creation at all stages of the consumer decision process. One of the most important imperatives in this path is the availability of quality data to feed all the process in digital transformation. However, the quality of data are not so...
Article
Full-text available
Cryptocurrencies are a type of digital money meant to provide security and anonymity while using cryptography techniques. Although cryptocurrencies represent a breakthrough and provide some important benefits, their usage poses some risks that are a result of the lack of supervising institutions and transparency. Because disinformation and volatili...
Article
Full-text available
High-Performance Computing (HPC) systems need to be constantly monitored to ensure their stability. The monitoring systems collect a tremendous amount of data about different parameters or Key Performance Indicators (KPIs), such as resource usage, IO waiting time, etc. A proper analysis of this data, usually stored as time series, can provide insig...
Article
Full-text available
A mobile ad hoc network (MANET) is a set of autonomous mobile devices connected by wireless links in a distributed manner and without a fixed infrastructure. Real-time multimedia services, such as video-streaming over MANETs, offers very promising applications, e.g., two members of a group of tourists who want to share a video transmitted through t...
Article
Full-text available
Recently, it has been found that e-commerce (EC) websites provide a large amount of useful information that exceed the human cognitive processing capacity. In order to help customers in comparing alternatives when buying a product, previous research authors have designed opinion summarization systems based on customer reviews. They ignored the temp...
Article
Full-text available
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 period...
Article
Full-text available
The emergence of Low-Power Wide-Area Network (LPWAN) technologies allowed the development of revolutionary Internet Of Things (IoT) applications covering large areas with thousands of devices. However, connectivity may be a challenge for non-line-of-sight indoor operation or for areas without good coverage. Technologies such as LoRa and Sigfox allo...
Article
Full-text available
Performance analysis is an essential task in high-performance computing (HPC) systems, and it is applied for different purposes, such as anomaly detection, optimal resource allocation, and budget planning. HPC monitoring tasks generate a huge number of key performance indicators (KPIs) to supervise the status of the jobs running in these systems. K...
Article
Full-text available
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 st...
Article
Full-text available
Recently, Deep Learning (DL) approaches have been applied to solve the Sentiment Classification (SC) problem, which is a core task in reviews mining or Sentiment Analysis (SA). The performances of these approaches are affected by different factors. This paper addresses these factors and classifies them into three categories: data preparation based...
Article
Full-text available
Major advances in information and communication technologies (ICTs) make citizens to be considered as sensors in motion. Carrying their mobile devices, moving in their connected vehicles or actively participating in social networks, citizens provide a wealth of information that, after properly processing, can support numerous applications for the b...
Article
Full-text available
Undoubtedly, Location-based Social Networks (LBSNs) provide an interesting source of geo-located data that we have previously used to obtain patterns of the dynamics of crowds throughout urban areas. According to our previous results, activity in LBSNs reflects the real activity in the city. Therefore, unexpected behaviors in the social media activ...
Article
Full-text available
There is a consensus about the good sensing characteristics of Twitter to mine and uncover knowledge in financial markets, being considered a relevant feeder for taking decisions about buying or holding stock shares and even for detecting stock manipulation. Although Twitter hashtags allow to aggregate topic-related content, a specific mechanism fo...
Chapter
High Performance Computing (HPC) systems play an important role in advancing scientific research due to a significant demand for processing power and speed grows. In practice, HPC systems are in the spot of interest of different businesses which account on this growing technology. The growing complexity of the HPC systems made it exposed to a great...
Article
This paper introduces a complete method for the automatic detection, identification and localization of lighting elements in buildings, leveraging the available building information modeling (BIM) data of a building and feeding the BIM model with the new collected information, which is key for energy-saving strategies. The detection system is heavi...
Poster
Full-text available
Everyday more scientific papers are published, and science grows, however for new students the amount of information required to know to keep updated is getting overwhelming. From the ever-present smartphone to the new wearables, mobile devices are everywhere and taking more and more part in our lives. These devices are present as students or conf...
Article
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Over the last decade, the infrastructure supporting the smart city has lived together with and was surpassed by the rise of social media. The tremendous growth of both mobile devices and social media users has unearthed a new kind of services in the so‐called location‐based social networks (LBSNs). In this new scenario, the term crowdsensing refers...
Article
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There is a general consensus of the good sensing and novelty characteristics of Twitter as an information media for the complex financial market. This paper investigates the permeability of Twittersphere, the total universe of Twitter users and their habits, towards relevant events in the financial market. Analysis shows that a general purpose soci...
Article
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Computer vision is used in this work to detect lighting elements in buildings with the goal of improving the accuracy of previous methods to provide a precise inventory of the location and state of lamps. Using the framework developed in our previous works, we introduce two new modifications to enhance the system: first, a constraint on the orienta...
Book
Full-text available
El presente manual es un producto del proyecto EXPERES pretende servir de ayuda para preparar y orientar a los estudiantes a sacar el máximo partido a las experiencias prácticas virtuales en el área de física que se han diseñado. Este manual es también un activo que puede utilizarse para el diseño de otras actividades, tanto dentro del campo de la...
Article
Full-text available
Since smart cities aim at becoming self-monitoring and self-response systems, their deployment relies on close resource monitoring through large-scale urban sensing. The subsequent gathering of massive amounts of data makes essential the development of event-filtering mechanisms that enable the selection of what is relevant and trustworthy. Due to...
Article
Full-text available
Evidence of something unusual happening in urban areas can be collected from different data sources, such as police officers, cameras, or specialized physical infrastructures. In this paper, we propose using geotagged posts on location-based social networks (LBSNs) to detect crowd dynamics anomalies automatically as evidence of a potential unusual...
Preprint
Full-text available
Since smart cities aim at becoming self-monitoring and self-response systems, their deployment relies on close resource monitoring through large-scale urban sensing. The subsequent gathering of massive amounts of data makes essential the development of event filtering mechanisms that enable the selection of what is relevant and trustworthy. Due to...
Article
Full-text available
In this paper, we describe two users’ group discovery methods among LinkedIn public profiles. We start by clustering profiles according to their professional background. In this sense, we combine the so-called K-means technique with the gap statistics method and use tag clouds to scrutinize the obtained groups. The second phase of this work consist...
Article
Full-text available
In this paper, we introduce a proposal to provide students in labs with an alternative to the traditional visible range spectrophotometers (VIS spectrophotometers), whose acquisition and maintenance entails high costs, based on smartphones. Our solution faced two aspects. On the one hand, the software for the smartphone, able to perform the typical...
Article
Full-text available
Internet of Things (IoT) merges different technologies to provide the needed infrastructure for an adequate inter-device connection and data exchange, with Bluetooth Low Energy (BLE) being one of the latest acquisitions. The use of BLE beacons offers a straightforward approach to broadcast information to any device being in the coverage zone and ab...
Article
Full-text available
In this paper, we present a novel approach for broadcasting information based on a Bluetooth Low Energy (BLE) ibeacon technology. We propose a dynamic method that uses a combination of Wi-Fi and BLE technology where every technology plays a part in a user discovery and broadcasting process. In such system, a specific ibeacon device broadcasts the i...
Conference Paper
Full-text available
iBeacon advertising technology transmits relevant, targeted messages and information to smart devices by using Bluetooth Low Energy (BLE) protocol. These devices, as far as the literature shows, are configured to send the same information to all devices (static). In this work, we propose a customized dynamic iBeacon content distribution system with...
Article
Ad hoc architectures have emerged as a valuable alternative to centralized participatory sensing systems due to their infrastructure-less nature, which ensures good availability, easy maintenance and direct user communication. As a result, they need to incorporate content-aware assessment mechanisms to deal with a common problem in participatory se...
Conference Paper
Event filtering is of paramount importance in large-scale ur- ban sensing, where an enormous quantity of data is generated. Multiple criteria can be considered for filtering, location being one of the most valuable ones. Obtaining high-quality (trustworthy, accurate) location information helps to contextualize the event content and provides trust b...
Article
Full-text available
Citizens are actively interacting with their surroundings, especially through social media. Not only do shared posts give important information about what is happening (from the users’ perspective), but also the metadata linked to these posts offer relevant data, such as the GPS-location in Location-based Social Networks (LBSNs). In this paper we i...
Conference Paper
Full-text available
Currently, we live in a technological environment that gives us the possibility to carry out many actions with our own style, times and preferences. We are free to interact with technology and the education is no exception, the use of educational platforms has increased considerably in recent years. The main objective of this work is to know how st...
Book
Full-text available
Le projet vise à développer une formation de type DUT (Diplôme Universitaire de Technologie) en ingénierie des Energies Renouvelables et à soutenir l'émergence de technopoles spécialisées dans les Energies Renouvelables. L'objectif est de développer des compétences permettant d'acquérir des connaissances de base sur la production d'électricité à pa...
Article
In this paper we introduce a method that supports the detection, identification and localization of lamps in a building, with the main goal of automatically feeding its energy model by means of Building Information Modeling (BIM) methods. The proposed method, thus, provides useful information to apply energy-saving strategies to reduce energy consu...
Book
Full-text available
Le projet vise à développer une formation de type DUT (Diplôme Universitaire de Technologie) en ingénierie des Energies Renouvelables et à soutenir l'émergence de technopoles spécialisées dans les Energies Renouvelables. L'objectif est de développer des compétences permettant d'acquérir des connaissances de base sur la production d'électricité à pa...
Chapter
We propose a new framework for recommending Massive Open Online Courses (MOOCs) to lifelong learners. Our approach can be summarized in two steps: (1) recommending MOOCs to potential learners according to their curricular information by relying on their LinkedIn profiles, and (2) recommending topics of interest to MOOCs’ providers by considering th...
Conference Paper
Twitter, as the heart of publicly accessible Social Media, is one of the currently used platforms to share financial information and is a valuable source of information for different roles in the financial market. For all these roles, the quality analysis of Twitter as a source of financial information is essential to take decisions. The work in th...
Article
Full-text available
The massive growth of GPS equipped smartphones coupled with the increasing importance of Social Media has led to the emergence of new services over LBSNs (Location-based Social Networks) where both, opinions and location, are shared. This proactive attitude allow us to consider citizens as sensors in motion whose information supports our approach:...
Conference Paper
Full-text available
Bluetooth Low Energy is taking over small mobile device world by gaining importance in many aspects of human social life. In this paper, we are investigating the potential impact of BLE devices broadcasting availability and what are the differences according to different real environment broadcasting scenarios. By means of experiments, we conduct s...
Article
Full-text available
Bluetooth Low Energy is taking over small mobile device world by gaining importance in many aspects of human social life. In this paper, we are investigating the potential impact of BLE devices broadcasting availability and what are the differences according to different real environment broadcasting scenarios. By means of experiments, we conduct s...
Article
Early detection of unusual events in urban areas is a priority for city management departments, which usually deploy specific complex video-based infrastructures typically monitored by human staff. However, and with the emergence and quick popularity of Location-based social networks (LBSNs), detecting abnormally high or low number of citizens in a...
Article
The GreenIT project was awarded within the Erasmus Mundus, Action 2 programme as a mobility scheme for all academic levels (185 mobilities in total) between 6 European and 4 North African countries. A special feature of GreenIT as an educational project is that only a subset of academic fields (sciences and technology) were included. Therefore, thi...
Conference Paper
Due to their flexibility and immediacy, participatory sensing systems based on ad hoc networks have become a valuable source of proximity-based information about events and incidents in the city. However, easy contribution may result in the transmission of larges amount of data, some of them being duplicate or not relevant. We have proved that coll...
Conference Paper
The emergence of E-Learning platforms is innovating the learning process. The platforms store information about the actions of teachers and students in their databases, generating large volumes of data, which enables the measurement of learning acquisition. Nonetheless, interaction with the platform is not always a synonymous of learning. The main...
Chapter
Nowadays, recognizing and predicting students learning achievement introduces a significant challenge, especially in blended learning environments, where online (web-based electronic interaction) and offline (direct face-to-face interaction in classrooms) learning are combined. This paper presents a Machine Learning (ML) based classification approa...