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Breto R.,Aragon Institute of Technology | Chiminelli A.,Aragon Institute of Technology | Lizaranzu M.,Aragon Institute of Technology | Rodriguez R.,Aragon Institute of Technology
International Journal of Adhesion and Adhesives | Year: 2017

In the numerical modelling of mixed adhesive joints, where different materials are disposed along the bond-lines, trimaterial singularities may arise at the adhesive bands transition points, resulting in mesh-dependent models. This work is focused on the study, characterization and treatment of these type of singularities. Firstly, the selection of an intermediate adhesive material for generating a tailored transition between bands is addressed, using analytical solutions and then corroborating by means of a novel technique for determining the influence distance of the singularity with the finite element method as calculation tool. Furthermore, it is proved how a continuum material field transition between bands produces a convergent finite element solution applying the considerations of this framework (analytical asymptotic solutions). Finally, in order to achieve the best numerical convergence rate in the models, the optimum material transition function is obtained and checked through FEM. © 2017 Elsevier Ltd.


Cambria E.,University of Stirling | Hupont I.,Aragon Institute of Technology | Hussain A.,University of Stirling | Cerezo E.,University of Zaragoza | Baldassarri S.,University of Zaragoza
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

The capability of perceiving and expressing emotions through different modalities is a key issue for the enhancement of human-computer interaction. In this paper we present a novel architecture for the development of intelligent multimodal affective interfaces. It is based on the integration of Sentic Computing, a new opinion mining and sentiment analysis paradigm based on AI and Semantic Web techniques, with a facial emotional classifier and Maxine, a powerful multimodal animation engine for managing virtual agents and 3D scenarios. One of the main distinguishing features of the system is that it does not simply perform emotional classification in terms of a set of discrete emotional labels but it operates in a continuous 2D emotional space, enabling the integration of the different affective extraction modules in a simple and scalable way. © 2011 Springer.


Meier J.G.,Aragon Institute of Technology | Mrzel A.,Jozef Stefan Institute | Canales M.,Aragon Institute of Technology | Gonzalvo P.,Aragon Institute of Technology | Alcala N.,Aragon Institute of Technology
Physica Status Solidi (A) Applications and Materials Science | Year: 2013

Composites of Mo6S2I8-nanowires, MoO (3-x)-nanowires and MoS2-nanotubes with polyamide 6 (PA6) have been prepared in different concentrations up to 4% via melt-mixing using a laboratory twin screw extruder in order to investigate their tribological, mechanical and thermal properties. Chemical and structural composition of these nanowires and nanotubes with similar morphologies seem to play an important role in properties of fabricated polymer composites. Tribological tests were performed on the macroscale using a pin-on-disc (POD) tribometer and the thermal properties of the polymer nanocomposites were measured by differential scanning calorimetry to determine their glass transition temperatures and the levels of crystallinity. The behaviour of the nanowires (Mo6S2I 8 and MoO(3-x)) is different from the nanotubes (MoS 2) with respect to the induced effects on the friction coefficient and wear rate in function of concentration. The composites with the nanowires show a significant increase of the E-module of up to 38% at a nanowire concentration of 4 wt% in the glassy state of PA6, estimated from hardness measurements. The reduced friction coefficient and wear rates are related to the increased bulk shear strength of the nanowire polymer composites. In contrasts, nanotubes of MoS2 did not show this strong reinforcement. The reduced friction coefficients and wear rates of the polymer composites with MoS2-nanotubes are predominantly related to the lubricating effect of the MoS2-nanotubes at the contact points. © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.


Garcia-Borgonon L.,Aragon Institute of Technology | Garcia-Borgonon L.,University of Seville | Barcelona M.A.,Aragon Institute of Technology | Barcelona M.A.,University of Seville | And 3 more authors.
Information and Software Technology | Year: 2014

Context Organizations working in software development are aware that processes are very important assets as well as they are very conscious of the need to deploy well-defined processes with the goal of improving software product development and, particularly, quality. Software process modeling languages are an important support for describing and managing software processes in software-intensive organizations. Objective This paper seeks to identify what software process modeling languages have been defined in last decade, the relationships and dependencies among them and, starting from the current state, to define directions for future research. Method A systematic literature review was developed. 1929 papers were retrieved by a manual search in 9 databases and 46 primary studies were finally included. Results Since 2000 more than 40 languages have been first reported, each of which with a concrete purpose. We show that different base technologies have been used to define software process modeling languages. We provide a scheme where each language is registered together with the year it was created, the base technology used to define it and whether it is considered a starting point for later languages. This scheme is used to illustrate the trend in software process modeling languages. Finally, we present directions for future research. Conclusion This review presents the different software process modeling languages that have been developed in the last ten years, showing the relevant fact that model-based SPMLs (Software Process Modeling Languages) are being considered as a current trend. Each one of these languages has been designed with a particular motivation, to solve problems which had been detected. However, there are still several problems to face, which have become evident in this review. This let us provide researchers with some guidelines for future research on this topic. © 2013 Elsevier B.V. All rights reserved.


Hupont I.,Aragon Institute of Technology | Cerezo E.,University of Zaragoza | Baldassarri S.,University of Zaragoza | Del-Hoyo R.,Aragon Institute of Technology
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

Art and emotions are intimately related. This work proposes the application to arts of Emotracker, a novel tool that mixes eye tracking technology and facial emotions detection to track user behaviour. This combination offers intuitive and highly visual possibilities of relating eye gaze, emotions and artistic contents. The results obtained after carrying out "5-second emotracking tests" over art illustrations and the use of the gathered information to create real-time artistic effects are presented. © 2014 Springer International Publishing.


Hupont I.,Aragon Institute of Technology | Cerezo E.,University of Zaragoza | Baldassarri S.,University of Zaragoza
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics | Year: 2010

The interpretation of user facial expressions is a very useful method for emotional sensing and it constitutes an indispensable part of affective Human Computer Interface designs. Facial expressions are often classified into one of several basic emotion categories. This categorical approach seems poor to treat faces with blended emotions, as well as to measure the intensity of a given emotion. This paper presents an effective system for facial emotional classification, where facial expressions are evaluated with a psychological 2-dimensional continuous affective approach. At its output, an expressional face is represented as a point in a 2D space characterized by evaluation and activation factors. The proposed system first starts with a classification method in discrete categories based on a novel combination of classifiers, that is subsequently mapped in a 2D space in order to be able to consider intermediate emotional states. The system has been tested with an extensive universal database and human assessment has been taken into consideration in the evaluation of results. ©2010 IEEE.


Alfonso J.,Aragon Institute of Technology | Rodriguez J.M.,Aragon Institute of Technology | Guerrero J.J.,Aragon Institute of Engineering Research
2015 European Control Conference, ECC 2015 | Year: 2015

The present paper proposes an iterative learning control (ILC) algorithm for accurate force tracking in a long range tribometer. The device is a nonlinear single input single output plant affected by repetitive and non repetitive perturbations in the output. The former perturbations result from the repetitive nature of the tests, and the latter ones are caused by friction phenomena in the guiding elements. Due to the characteristics of the device, it has been necessary to develop specific solutions to assure a robust behavior: on the one hand, analysis and identification techniques for the perturbations, and on the other hand, a spatial synchronization. The finally developed controller combines ILC with feedforward and feedback commands. The system is experimentally validated and the results show a substantial improvement in the performance compared to more classical approaches. © 2015 EUCA.


Hupont I.,Aragon Institute of Technology | Baldassarri S.,University of Zaragoza | Cerezo E.,University of Zaragoza
Pattern Analysis and Applications | Year: 2013

User emotion detection is a very useful input to develop affective computing strategies in modern human computer interaction. In this paper, an effective system for facial emotional classification is described. The main distinguishing feature of our work is that the system does not simply provide a classification in terms of a set of discrete emotional labels, but that it operates in a continuous 2D emotional space enabling a wide range of intermediary emotional states to be obtained. As output, an expressional face is represented as a point in a 2D space characterized by evaluation and activation factors. The classification method is based on a novel combination of five classifiers and takes into consideration human assessment for the evaluation of the results. The system has been tested with an extensive universal database so that it is capable of analyzing any subject, male or female of any age and ethnicity. The results are very encouraging and show that our classification strategy is consistent with human brain emotional classification mechanisms. © 2012 Springer-Verlag London Limited.


Hupont I.,Aragon Institute of Technology | Gracia J.,Aragon Institute of Technology | Sanagustin L.,Aragon Institute of Technology | Gracia M.A.,Aragon Institute of Technology
2015 7th International Workshop on Quality of Multimedia Experience, QoMEX 2015 | Year: 2015

The recent introduction in the market of low cost yet high fidelity head-mounted displays with stereoscopic 3D perspective such as Oculus Rift opens the door to novel virtual reality experiences for gaming. However, QoE metrics and methodologies for this kind of platforms are still unexplored. In this paper, a comparative study on how these novel displays impact gaming QoE with regard to conventional 2D PC screens is presented. Through an experiment where we invited 22 users to play with a virtual forklift driving serious game in both environments, we demonstrate that Oculus broadly increases the sense of immersion in the 3D world as well as perceived game usability. Affective factors are also deeply impacted by this platform that shoots up amazement, astonishment and excitement levels. Nevertheless, a worrying aspect is the high percentage of persons that report feelings of nausea after wearing the goggles. © 2015 IEEE.


Barcelona M.A.,Aragon Institute of Technology | Garcia-Borgonon L.,Aragon Institute of Technology | Lopez-Nicolas G.,Aragon Institute of Technology
International Journal on Software Tools for Technology Transfer | Year: 2016

In this paper, we present the experience in the usage of MIDAS, an integrated framework for Service Oriented Architecture (SOA) testing automation that is available as Software as a Service (SaaS) in a cloud infrastructure, to test a GS1 Logistics Interoperability Model (GS1 LIM) compliant service architecture for the logistics domain. Activities performed, results achieved and the evaluation of success factors and key performance indicators (KPIs) are detailed as well as other insights: (1) 25 % of companies would pay for model-based testing (MBT), (2) GS1 LIM should be certifiable, and (3) companies identify as a major barrier how to calculate the MBT return on investment (ROI). © 2016 Springer-Verlag Berlin Heidelberg

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