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A massive data processing approach for effective trustworthiness in online learning groups 

Miguel Moneo, Jorge; Caballé Llobet, Santi; Xhafa, Fatos; Prieto Blázquez, Josep

This paper proposes a trustworthiness-based approach for the design of secure learning activities in online learning groups. Although computer-supported collaborative learning has been widely adopted in many educational ...

Se busca geobibliotecario: los datos geográficos entran en la biblioteca 

Granell Canut, Carlos; Aguilar Moreno, Estefanía

The increased proliferation and accessibility of geographic data are changing the landscape of services based on geographic information. From the analysis of recent job offers posted in American university libraries, we ...

Combining simulation with a GRASP metaheuristic for solving the permutation flow-shop problem with stochastic processing times 

Ferone, Daniele; Gruler, Aljoscha; Festa, Paola; Juan Pérez, Ángel Alejandro

Greedy Randomized Adaptive Search Procedures (GRASP) are among the most popular metaheuristics for the solution of combinatorial optimization problems. While GRASP is a relatively simple and efficient framework to deal ...

JSONDiscoverer: Visualizing the schema lurking behind JSON documents 

Cánovas Izquierdo, Javier Luis; Cabot Sagrera, Jordi

The so-called API economy is pushing more and more companies to provide open Web APIs to access their data, typically using the JavaScript Object Notation (JSON) as interchange data format. While JSON has been designed to ...

A survey on financial applications of metaheuristics 

Soler Dominguez, Amparo; Juan Pérez, Ángel Alejandro; Kizys, Renatas

Modern heuristics or metaheuristics are optimization algorithms that have been increasingly used during the last decades to support complex decision-making in a number of fields, such as logistics and transportation, ...

LaCOLLA: Middleware for Self-Sufficient Online Collaboration 

Marquès Puig, Joan Manuel; Vilajosana i Guillén, Xavier; Daradoumis Haralabus, Atanasi; Navarro Moldes, Leandro

The LaCOLLA middleware makes it possible for collaborators to interact using their own resources without depending on centralized regimes. By contributing their own resources, group members can organize and communicate ...

DyMRA : Dynamic Market Deployment for Decentralized Resource Allocation 

Lázaro Iglesias, Daniel; Vilajosana i Guillén, Xavier; Marquès Puig, Joan Manuel

Preprint

Steganalytic Methods for the Detection of Histogram Shifting Data Hiding Schemes 

Lerch Hostalot, Daniel; Megías Jiménez, David

Peer-reviewed

Smart bound selection for the verification of UML/OCL class diagrams 

Clarisó Viladrosa, Robert; González, Carlos A.; Cabot Sagrera, Jordi

info:eu-repo/semantics/submittedVersion

Lean sensing: exploiting contextual information for most energy-efficient sensing 

Martínez, Borja; Vilajosana i Guillén, Xavier; Vilajosana Guillén, Ignasi; Dohler, Misha

Cyber-physical technologies enable event-driven applications, which monitor in real-time the occurrence of certain inherently stochastic incidents. Those technologies are being widely deployed in cities around the world ...

Sistemas de información geográfica para unidades de información 

Aguilar Moreno, Estefanía; Granell Canut, Carlos

The aim of the paper is to serve as a gateway to the world of geographic information systems (GIS), seen as technologies to support decision-making services in libraries and information units. Through the review of various ...

Care in the (critical) making. Open prototyping, or the radicalisation of independent-living politics 

Sánchez Criado, Tomás; Rodríguez Giralt, Israel; Mencaroni, Arianna

In this paper we reflect empirically on some collective attempts at intervening the ways in which care for and by disabled people is being devised and carried out in Spain in austerity times. We highlight the novelties and ...

Operations research and simulation in master's degrees: a case study regarding different universities in Spain 

Grasas, Alex; Juan Pérez, Ángel Alejandro; Ramalhinho Lourenço, Helena

This paper presents several experiences regarding Operations Research (OR) and Simulation education activities in three master programs, each of them offered at a different university. The paper discusses the importance ...

Dynamic programming of flights based on stochastic demands 

Carmona Budesca, Armand; Juan Pérez, Ángel Alejandro; Fonseca Casas, Pau; Casanovas, Josep

The definition of the flights schedule is one of the major planning activities that are carried out in an airline. The result of the definition of this schedule has implications that transcend the operational sphere and ...

Detection of classifier inconsistencies in image steganalysis 

Lerch Hostalot, Daniel; Megías Jiménez, David

In this paper, a methodology to detect inconsistencies in classification-based image steganalysis is presented. The proposed approach uses two classifiers: the usual one, trained with a set formed by cover and stego images, ...

Learnheuristics: Hybridizing metaheuristics with machine learning for optimization with dynamic inputs 

Calvet Mir, Laura; Armas Adrián, Jésica de; Masip Rodo, David; Juan Pérez, Ángel Alejandro

This paper reviews the existing literature on the combination of metaheuristics with machine learning methods and then introduces the concept of learnheuristics, a novel type of hybrid algorithms. Learnheuristics can be ...

Combining distributed queuing with energy harvesting to enable perpetual distributed data collection applications 

This paper presents, models, and evaluates energy harvesting¿aware distributed queuing (EH-DQ), a novel medium access control protocol that combines distributed queuing with energy harvesting (EH) to address data collection ...

Crisis, ciudad y tecnología ¿una solución inteligente? 

March Corbella, Hug; Ribera Fumaz, Ramon; Vivas i Elias, Pep

En un escenario de recesión económica y austeridad están emergiendo nuevas estrategias que pretenden repensar la ciudad a través de un urbanismo mediado tecnológicamente. Estrategias como la ciudad inteligente (Smart City) ...

A statistical learning based approach for parameter fine-tuning of metaheuristics 

Calvet Liñan, Laura; Juan Pérez, Ángel Alejandro; Serrat Piè, Carles; Ries, Jana

Metaheuristics are approximation methods used to solve combinatorial optimization problems. Their performance usually depends on a set of parameters that need to be adjusted. The selectionof appropriate parameter values ...

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