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The major challenges facing higher education are related issues to the training the next generation of engineers who must be recognized as leaders with technical skills but also with competencies to provide smart solutions in the problem-solving processes. Many approaches have been proposed in this context, but the most of them not be formal, do not focus on engineering and not consider the trends and challenges as a starting point to define new practical proposals. In this paper, a set of challenges are researched to define a new proposal for training the next generation of engineers focused on leadership. The main objective is to provide guidelines to guidance in the training process into higher education institutions. After that, new research will be performed to put in practical context the proposal defined in this paper.

This paper presents the preliminary results about a systematic mapping of the soft skills suggested/considered important in the agile global software development (AGSD) with an impact on society 5.0. The papers selection method was carried out following a set of research objectives and questions defined from the GQM (Goal-Question-Metric) approach and a suggested systematic protocol for mapping in Software Engineering. Findings show that the existence of research related to soft skills in AGSD up to the date of this review, it is few, however, it is possible to observe that it has gained importance in the last three years

The goal of this guest editorial is to introduce the first group of papers of the special issue on Educational Inclusion through ICT. This special issue integrates papers focused on identifying, sharing, and valorizing experiences, projects and best practices focused on inclusion and education with digital technologies. The papers were submitted and reviewed in an open format. In this first edition of this special issue nine works have been included

This paper describes a new technological evolution of the Sucre project, which aims to promote scientific vocations, develop computational thinking and programming skills in pre-university students. The improved version is called Sucre4Stem and has been designed from the Internet of Things perspective. At a technological level, we differentiate two main tools, SucreCore and SucreCode. SucreCore provides a new, more compact design, encapsulates an advanced microcontroller, and supports wireless connectivity with the ability to create online variables and functions. SucreCode, the blockbased visual programming tool, has a revamped interface and allows wireless communication with SucreCore. At the pedagogical level, Sucre4Stem makes it easier to undertake new group dynamics and create novel types of collaborative projects between groups of students. In this article, we also explore how these collaborative projects can be realised by taking advantage of the different types of communications between SucreCore and the server-side platform using shared online variables and functions.

Programming education goes through the transition from the content model to the learning outcomes model and the integration of technology, where automatic assessment tools allow students to support them in practice; This makes learning inclusive by proposing a transversal approach so that the necessary programming skills are achieved. In this sense, this paper presents a strategy that evaluates the source code and analyzes it using software metrics to identify students' learning results in a programming course. A strategy was developed that integrates an automatic source code evaluation tool, which allowed us to identify How an evaluation-based approach supports the learning process, time, and impact in a computer programming course? The results show that the strategy helps the transition from a programming course to a learning outcomes model and reduces the evaluation time without affecting students' grades, compared to the traditional way. Finally, it is essential to highlight that the development of strategies that integrate tools that support the teaching-learning and evaluation process in programming courses has a positive impact on academic training and decision-making, seeking to improve students' weaknesses through the analysis of the outcomes obtained.

Open-source software (OSS) has become a valuable resource for corporate, educational, and social processes, reducing digital divides in emerging countries. This paper proposes an open-source software acceptance model (OSS-AM) to examine determinants of OSS adoption among students in emerging economies. A quantitative methodology with a descriptive correlational approach was employed, collecting data from a representative sample of 504 students. Confirmatory factor analysis showed strong associations between attitude towards use and variables such as compatibility, quality, flexibility, and security. This study reveals that skill development through practical education, perceived usefulness, training, and compatibility are the most influential factors in students’ adoption of OSS

Fil: Barba Leal, Omelio. INVAP S.E. Bariloche, Río Negro, Argentina. Fil: Rinalde, Fabián. Comisión Nacional de Energı́a Atómica (CNEA). Bariloche, Argentina. Fil: Rinalde, Fabián. Instutito Balseiro. Universidad Nacional de Cuyo. Río Negro, Argentina. Fil: Cogo, Jorge. Universidad Nacional de Río Negro. Centro Interdisciplinario de Telecomunicaciones, Electrónica, Computación y Ciencia Aplicada. Río Negro, Argentina. Fil: Cogo, Jorge. Instutito Balseiro. Universidad Nacional de Cuyo. Río Negro, Argentina. Fil: Pascual, Juan Pablo. Instutito Balseiro. Universidad Nacional de Cuyo. Río Negro, Argentina. Fil: Pascual, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Argentina. Wireless Local Area Network (WLAN) devices and C-band weather radars share the same frequency band. When WLAN devices transmit at the same or close frequency as weather radar the resulting interference can severely limit the usefulness of radar images.This paper proposes an algorithm for WLAN packets detection in weather radar data based on the location of the preamble of these packets, taking advantage of its deterministic structure. The theoretical guidelines that define the detection algorithm and the reference signal are presented. The performance of the detector is evaluated using numerical simulations and is tested with real data obtained from the Argentinian weather radar RMA1, located in Córdoba city. The probability of detection obtained when processing radar data is consistent with the numerical simulations results and with the predictions of the theoretical model. La interferencia entre dispositivos inalámbricos de area local (WLAN) y los radares meteorológicos de banda C aparece por una superposición de las bandas de frecuencias de operación de ambas tecnologías. Por este motivo, las señales WLAN recibidas por el radar enmascaran las reflexiones útiles asociadas a los fenómenos meteorológicos que se desean observar. En este trabajo se propone un algoritmo de detección de paquetes WLAN en registros de datos de radar meteorológico, el cual se basa en utilizar la estructura que posee el preámbulo de las tramas de datos que transmiten estos dispositivos. Se presentan los lineamientos teóricos que definen el algoritmo de detección y la señal de referencia. Además, se evalúa el desempeño del detector empleando mediciones reales del radar meteorológico argentino RMA1, emplazado en la localidad de Córdoba. La probabilidad de detección obtenida utilizando datos reales se compara con la estimada empleando simulaciones numéricas del tipo Montecarlo. Los resultados obtenidos al procesar las mediciones reales se condicen con lo que predice el planteamiento teórico y las simulaciones numéricas.

Las propuestas de análisis de requisitos para almacenes de datos (AD) se centran únicamente en las necesidades de información de los usuarios, sin tener en cuenta otro tipo de requisitos como la seguridad o el rendimiento. Sin embargo, el modelado de estos aspectos en etapas tempranas del desarrollo es fundamental para obtener un AD que satisfaga las expectativas del usuario. En este artículo, se definen dos tipos de requisitos a considerar en el diseño del AD: requisitos de información y de calidad de servicio. Estos requisitos se definen dentro del marco de MDA (Model Driven Architecture), lo que permite su traceability hacia etapas posteriores de diseño conceptual y lógico. Cabe destacar que este artículo se centra en proponer un modelo de requisitos de seguridad (como un tipo concreto de requisitos de calidad de servicio), así como un proceso en tres fases para su modelado conjuntamente con los requisitos de información. Requirement analysis approaches for data warehouse (DW) systems are only focused on information needs of decision makers, without considering other kind of requirement such as security or performance. However, modeling these issues in the early stages of the development is a cornerstone for building a DW that satisfies user expectations. In this paper, we define the two kinds of requirements for DWing as information and quality-of-service requirements. These requirements are defined within the MDA (Model Driven Architecture) framework, which allows their traceability towards the subsequent conceptual and logical design phases. It is worth mentioning that this paper focuses on proposing a requirement model for security (as a concrete kind of quality-of-service requirement), and a three-step process for modeling together information and security requirements. Este trabajo ha sido financiado por los proyectos METASIGN (TIN2004-00779) del Ministerio de Educación y Ciencia y DADS (PBC-05-012-2) de la Consejería de Educación y Ciencia de Castilla-La Mancha. Jose-Norberto Mazón dispone de una beca FPU (AP2005-1360) del Ministerio de Educación y Ciencia de España.

Motivation is an essential aspect of performance and team productivity as key factors of success in software engineering. Hence, to achieve effective teaching of Software Engineering, it is required to structure an educational environment with new teaching and learning strategies. Classroom gamification has become an alternative strategy to improve the motivation and the commitment required by work teams. This paper presents a software tool to create gamified experiences in the classroom with a methodological structure designed to gamify a software engineering educational environment. The most relevant result of this work is the design of a gamified environment and an experience that, in accordance with the Educational Project of the Universidad Católica del Norte (UCN), is used in the Software Engineering Advanced Topics course where students develop software products for non-profit organizations made up of people with disabilities and their families

Gaining insight into what students experience in a course in software engineering is essential to the continuous development of the course design. The growing use of agile approaches in professional settings has facilitated their introduction into training and undergraduate courses in software engineering. This paper reports a case study of student participation in a course project by using a previously presented training model. We aimed to assess how students felt with the training model when conducting the 5 Scrum events: Sprint Planning, Daily Meeting, Sprint, Sprint Review, and Sprint Retrospective. To achieve our goal, we applied a 22-item survey to 31 undergraduate students to gather students’ opinions. Results showed that most students had a positive opinion about team communication, the position of Scrum Master, Sprint goals definition, and guidance using meetings as a means of checkpoints

Episodic memory is crucial to develop complex cognitive abilities like learning or reasoning, and non-complex cognitive abilities like calling the name of someone or remembering an appointment. It is known that an intellectual disability implies a deficit over tasks related to episodic memory, however, in the literature, there is no approach to stimulate episodic memory in children with intellectual disabilities. Because interactions with social robots have generated positive effects in children with intellectual disabilities, we propose an approach composed of three training sessions based on social robotics. In this paper, we present an exploratory study to know the effects of our approach on episodic memory in children with intellectual disabilities. The results have shown that our approach can enhance episodic memory in these children when they interact with interest and improve their performance in sessions

Recently, due to the COVID-19 outbreak, Universities have been subject to a radical change, as they were forced to rapidly and massively shift from residential to online education. In this scenario, e-learning, which has been studied for several years, has attracted an unprecedented attention and revealed many advantages and disadvantages, thus feeding a debate about its efficacy. In an attempt to contribute to such debate, a study in different Latin-American countries has been conducted, in order to understand teachers’ and students’ perceptions about the experienced online setting during the lockdown. This paper describes the results of this preliminary study and reflects on factors that need to be improved to increase the quality of online education

Hyperspectral image registration is a relevant task for real-time applications like environmental disasters management or search and rescue scenarios. Traditional algorithms for this problem were not really devoted to real-time performance. The HYFMGPU algorithm arose as a high-performance GPU-based solution to solve such a lack. Nevertheless, a single-GPU solution is not enough, as sensors are evolving and then generating images with finer resolutions and wider wavelength ranges. An MPI+CUDA distributed multi-GPU implementation of HYFMGPU was previously presented. However, this solution shows the programming complexity of combining MPI with an accelerator programming model. In this paper we present a new and more abstract programming approach for this type of applications, which provides a high efficiency while simplifying the programming of the distributed code. The solution uses Hitmap, a library to ease the programming of parallel applications based on distributed arrays. It uses a more algorithm-oriented approach than MPI, including abstractions for the automatic partition and mapping of arrays at runtime with arbitrary granularity, as well as techniques to build flexible communication patterns that transparently adapt to the data partitions. We show how these abstractions apply to this application class. We present a comparison of development effort metrics between the original MPI implementation and the one based on Hitmap, with reductions of up to 95% for the Halstead score in specific work redistribution steps. We finally present experimental results showing that these abstractions are internally implemented in a high efficient way that can reduce the overall performance time in up to 37% comparing with the original MPI implementation., Este trabajo forma parte del proyecto de investigación PCAS Grant TIN2017-88614-R y la Junta de Castilla y León, proyecto PROPHET, VA082P17

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works Pomares, A., Martínez, J.L., Mandow, A., Martínez, M.A., Morán, M., Morales, J. Ground extraction from 3D lidar point clouds with the Classification Learner App (2018) 26th Mediterranean Conference on Control and Automation, Zadar, Croatia, June 2018, pp.400-405. DOI: Pending Ground extraction from three-dimensional (3D) range data is a relevant problem for outdoor navigation of unmanned ground vehicles. Even if this problem has received attention with specific heuristics and segmentation approaches, identification of ground and non-ground points can benefit from state-of-the-art classification methods, such as those included in the Matlab Classification Learner App. This paper proposes a comparative study of the machine learning methods included in this tool in terms of training times as well as in their predictive performance. With this purpose, we have combined three suitable features for ground detection, which has been applied to an urban dataset with several labeled 3D point clouds. Most of the analyzed techniques achieve good classification results, but only a few offer low training and prediction times. This work was partially supported by the Spanish project DPI 2015- 65186-R. The publication has received support from Universidad de Málaga, Campus de Excelencia Andalucía Tech.

Due to the large, heterogeneous audience of Web applications, and its rapidly changing expectations, holistic requirement analysis approaches are crucial to ensure the success of Web engineering projects. To increase the quality of resulting Web applications, non-functional requirements (NFRs) must be considered. Satisfying them is a non-trivial task that depends on making decisions about which functional requirements (FRs) to implement, and how to prioritize the NFRs. A satisfactory solution is a trade-off, where competing NFRs must be balanced. In this paper, we outline how the Pareto efficiency can complement a goal-oriented requirement analysis modelling to evaluate and select optimal configurations of requirements for a Web application, while NFRs are balanced and maximized according to a priority list. We hereby focus on an empirical evaluation to verify whether our Pareto method improves the accuracy of design decisions during the requirements analysis phase, and/or if it reduces the time needed by designers. Este trabajo ha sido parcialmente financiado por los siguientes proyectos: Open.Mind (GV/2014/098) de la Generalitat Valenciana; PROFAPI2012/002 y PROFAPI2013/002 de la Universidad Autónoma de Sinaloa, México y MANTRA (GRE09-17) de la Universidad de Alicante.

Assistance to people during rehabilitation has to be adapted to their needs. Too little help can lead to frustration and stress in the user; an excess of help may lead to low participation and loss of residual skills. Robotic rollators may adapt assistance. The main challenge to cope with this issue is to estimate how much help is needed on the fly, because it depends not only on the person condition, but also on the specific situation that they are negotiating. Clinical scales provide a global condition based estimation, but no local estimator based on punctual needs. Condition also changes in time, so clinical scales need to be recalculated again and again. In this paper we propose a novel approach to estimate users’ condition in a continuous way via a robotic rollator. Our work focuses on predicting the value of the well known Tinetti Mobility test from spatiotemporal gait parameters obtained from our platform while users walk. This prediction provides continuous insight on the condition of the user and could be used to modify the amount of help provided. The proposed method has been validated with 19 volunteers at a local hospital that use a rollator for rehabilitation. All volunteers presented some physical or mental disabilities. Our results sucessfully show a high correlation of spatiotemporal gait parameters with Tinetti Mobility test gait (R2 = 0.7) and Tinetti Mobility test balance (R2 = 0.6). Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.

Currently, over 90 % of the world market universe of software development is constituted by SMEs. These organizations usually sees the implementation of methodologies are 'too heavy' to be adopted in their daily actions. Thus a model that is adapted to the needs of SME developers of software should primarily focus on: Continuous Improvement both processes Software development, like other fundamental aspects of the organization as such supporters as the quality process that results in high quality products, competitive in the national and international markets. In accordance with the above stated, this research paper in the first instance, contextualizes about different quality models in the area of software development, then the model features MoProSoft delimited, then the process of implementing the methodology defined in organizations, poses the same improvements in this way for more efficient results and conclusions of the research project.

This paper deals with the application and optimization of active loops to mitigate the magnetic field generated by medium voltage/low voltage (MV/LV) substations. In particular, two active loops configurations are analyzed in several regions located around and above a particular MV/LV substation. An optimization process, based on a genetic algorithm, is applied in order to reduce the average magnetic field inside each region to the minimum, obtaining the optimum geometry of the loops and the currents to be injected. The performance of the proposed active loops is compared, highlighting their main advantages and disadvantages regarding its application to MV/LV substations

In this paper, we present a study about Si and GaAs space solar cells by means of numerical simulations. We have investigated the variations of the short-circuit current, open circuit voltage and maximum power point, before and after the devices were irradiated with 10 MeV protons and fluences between 109 and 1013 p+ /cm2. The simulation results allow to obtain the optimum solar cell with specific requirements for space applications. Fil: Cappelletti, Marcelo Ángel. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Casas, Guillermo. Universidad Nacional de La Plata; Argentina. Universidad Nacional de Quilmes; Argentina Fil: Cedola, Ariel Pablo. Universidad Nacional de La Plata; Argentina Fil: Peltzer y Blanca, Eitel Leopoldo. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina

Internet Traffic Classification aims at the identification of the Internet application that generates a given sequence of packets. Shallow Packet Inspection (SPI) is a new family of classification techniques that only use information available in the external header of packets and the statistical characterization of the traffic process. Therefore, these techniques are applicable even to encrypted or obfuscated traffic. The packet arrival process is a particularly interesting features for traffic classification, as it is difficult to significantly modify it. This paper proposes a classification technique based on a classification feature called Index of Variability, which evaluates the traffic source burstiness over various time scales in order to discriminate among different classes of Internet applications. Experimental results show that this classification method operates effectively both on synthetic and real traffic traces. Synthetic traffic traces make it possible to estimate the classification error rate achieved by the classification algorithm. The usage of real traces allows us to compare the performance of the method to the performance obtained with Deep Packet Inspection (DPI) techniques, showing that SPI and DPI yields similar results.

6 págs, 1 fig.-- Publicado en la Sección: "Artículos seleccionados de IEEE ICALT" (ICALT'2008 - Eighth IEEE International Conference on Advanced Learning Technologies, Santander, Cantabria, Spain, Jul 1-5, 2008). Previamente publicado como ponencia (en inglés) en: Proceedings ICALT'08 - Eighth IEEE International Conference on Advanced Learning Technologies, 2008, p. 278-282, http://e-archivo.uc3m.es/handle/10016/8964 Collaborative learning models are widely used in educational institutions. These models require a high interaction level among students and are mainly oriented towards in-class scenarios. But when collaborative models are deployed in a distant scenario, user expressiveness is significantly reduced thus creating a gap that hinders the effectiveness of this collaboration. A computer-supported model provides a set of tools to compensate for the distant scenario and reduce this gap. This paper presents the issues and solutions derived from the design and deployment of a complex collaborative model in a distant scenario. The course structure was captured using the Learning Design specification, and an architecture based on Virtual Network Computing was used to provide the required collaborative tools. The course was included as part of a regular undergraduate program in three higher educational institutions. Trabajo parcialmente financiado por el Programa Nacional de Tecnologías de la Información y de las Comunicaciones, Proyectos MOSAIC (TSI2005-08225-C07-02/04) y LEARN3 (TIN2008-05163/TSI). Publicado

Data warehouses integrate several operational sources to provide a multidimensional analysis of data, thus improving the decision making process. Therefore, an in-depth analysis of these data sources is crucial for data warehouse development. Traditionally, this analysis has been based on a set of informal guidelines or heuristics to support the manually discovery of multidimensional elements on a well-known documentation. Therefore, this task may become highly tedious and prone to fail. In this paper, MDA (Model Driven Architecture) is used to design a reverse engineering process in which the following tasks are performed (i) obtain a logical representation of data sources (ii) mark this logical representation with multidimensional concepts, and (iii) derive a conceptual multidimensional model from the marked model. Este trabajo ha sido financiado por los proyectos METASIGN (TIN2004-00779) del Ministerio de Educación y Ciencia y DADS(PBC-05-012-2) de la Consejería de Educación y Ciencia de Castilla-La Mancha. J.-N. Mazón dispone de una beca FPU (AP2005-1360) del Ministerio de Educación y Ciencia.

Postprint This paper describes an object-oriented approach for handling complex industrial automation systems. The proposed approach relies on relationships between modeling perspectives and integrates different models of existing object-oriented methodologies. It therefore supports the multi-disciplinary character of industrial automation projects. A framework based on the concept of viewpoints is also presented.