Mostrando ítems 21-40 de 275

    • Automatic Generation of Valid Behavioral Scripts from UML Sequence Diagrams 

      Muñoz, Paula; Burgueño, Loli; Vallecillo-Moreno, Antonio Jesus; Gogolla, Martin (2019-09-20)
      This paper presents the extension of a UML and OCL tool that enables the textual specification of UML sequence diagrams, and the automated generation of all valid behaviors according to these sequence diagrams. Message ...
    • Foreground object detection enhancement by adaptive super resolution for video surveillance 

      Molina-Cabello, Miguel A.; Elizondo, David A.; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel (2019-09-16)
      Foreground object detection is a fundamental low level task in current video surveillance systems. It is usually accomplished by keeping a model of the background at each frame pixel. Many background learning algorithms ...
    • Homography estimation with deep convolutional neural networks by random color transformations 

      Molina-Cabello, Miguel A.; Elizondo, David A.; Luque Baena, Rafael Marcos; López-Rubio, Ezequiel (2019-09-13)
      Most classic approaches to homography estimation are based on the filtering of outliers by means of the RANSAC method. New proposals include deep convolutional neural networks. Here a new method for homography estimation ...
    • Abordando los distintos niveles de colaboración entre dispositivos en entornos IoT 

      Flores-Martín, Daniel; Canal-Velasco, Jose Carlos; Berrocal, Javier; Murillo, Juan Manuel (2019-09-11)
      Hoy en día, hay millones de dispositivos conectados a Internet. Esto es lo que conocemos como Internet de las Cosas. La integración de estos dispositivos inteligentes con los protocolos de la Web de las Cosas los hace más ...
    • Variability Models for Generating Efficient Configurations of Functional Quality Attributes 

      Pinto-Alarcon, Monica; Fuentes-Fernández, Lidia; Horcas Aguilera, José Miguel (2019-09-11)
      Quality attributes play a critical role in the architecture elicitation phase. Software Sustainability and energy efficiency is becoming a critical quality attribute that can be used as a selection criteria to choose from ...
    • Software product line engineering: a practical experience 

      Horcas, José-Miguel; Fuentes-Fernández, Lidia; Pinto-Alarcon, Monica (2019-09-10)
      The lack of mature tool support is one of the main reasons that make the industry to be reluctant to adopt Software Product Line (SPL) approaches. A number of systematic literature reviews exist that identify the main ...
    • Glide-Symmetric Pin Phase Shifter implemented in Gap-Waveguide Technology 

      Palomares Caballero, Ángel; Alex Amor, Antonio; Valenzuela Valdés, Juan F.; Luna Valero, Francisco; Padilla de la Torre, Pablo; [et al.] (2019-09-10)
      This paper presents a compact and low-loss waveguide phase shifter based on a pin lattice in glide- symmetric configuration. There is a significant increase in provided phase shift when using a glide-symmetric pin distribution ...
    • Modelando la Variabilidad de Características Complejas en Líneas de Productos Software 

      Horcas, José-Miguel; Pinto Alarcón, Mónica; Fuentes-Fernández, Lidia (2019-09-10)
      A pesar de la gran cantidad de trabajos y de herramientas existentes en el ámbito de las Líneas de Productos Software, muchos dominios de aplicación actuales como la ingeniería web no pueden verse beneficiados del uso ...
    • Comparative structural analysis of the drought responsive dehydrin and aquaporin gene families in Brachypodium and close grasses 

      Agostini, Federico; Decena Rodríguez, María Ángeles; Mérida García, Rosa; Catalán, Pilar; Hernández Molina, Pilar; [et al.] (2019-09-10)
      Dehydrins (DHNs) belong to the group 2 LEA (Late Embryogenesis Abundant) genes and play an important role in the response of plants to abiotic stress, mainly heat, salinity and drought. Under these stresses, DHNs accumulate ...
    • Optimización conjunta de la gestión de la movilidad y la capacidad en redes 5G 

      Ramírez Arroyo, Alejandro; Valenzuela Valdés, Juan F.; Carmona Murillo, Javier; Luna Valero, Francisco; Valenzuela Valdés, Antonio; [et al.] (2019-09-05)
      Technology development is needed to meet users' traffic demands. From 2017 to 2022, global annual traffic growth is estimated at 220%. This annual growth leads in turn to an increase in the number of users connected to IP ...
    • A Formal Programming Framework for Digital Avatars 

      Pérez-Vereda, Alejandro; Canal, Carlos; Pimentel, Ernesto (2019-09-05)
      In the current IoT era, the number of smart things to interact with is raising everyday. However, each one of them precises a manual and specific configuration. In a more people-friendly scenario, smart things should adapt ...
    • Proyecto StreetQR. Dispositivo de asistencia informativa para placas de calle y lugares de interés 

      Ramos-Jimenez, Gonzalo Pascual; Morales-Bueno, Rafael; del Campo-Ávila, José; Matesanz, Andrés (2019-07-30)
      En este trabajo se expone un ejemplo de transferencia de conocimiento desde la universidad hacia la sociedad, dentro del campo de la Inteligencia Artificial, con vista a obtener un encadenamiento productivo universidad-empresa. ...
    • Automatic configuration of NSGA-II with jMetal and irace 

      Nebro-Urbaneja, Antonio Jesus; López-Ibáñez, Manuel; Barba-González, Cristóbal; García-Nieto, José (ACM, 2019)
      jMetal is a Java-based framework for multi-objective optimization with metaheuristics providing, among other features, a wide set of algorithms that are representative of the state-of-the-art. Although it has become a ...
    • Construct, Merge, Solve and Adapt for Taxi Sharing 

      Ben-Smida, Houssem Eddine; Chicano, Francisco; Krichen, Saoussen (2019-07-22)
      Taxis are a quick and reliable mean of transportation, especially in those cities where the public transportation system is very inefficient. However, taxis rarely travel with full capacity, and its impact on traffic ...
    • Local Optima Network Analysis for MAX-SAT 

      Ochoa, Gabriela; Chicano, Francisco (2019-07-22)
      Local Optima Networks (LONs) are a valuable tool to understand fitness landscapes of optimization problems observed from the perspective of a search algorithm. Local optima of the optimization problem are linked by an edge ...
    • Quasi-Optimal Recombination Operator 

      Chicano, Francisco; Ochoa, Gabriela; Whitley, Darrell; Tinós, Renato (2019-07-22)
      The output of an optimal recombination operator for two parent solutions is a solution with the best possible value for the objective function among all the solutions fulfilling the gene transmission property: the value ...
    • Optimization of Convolutional Neural Network ensemble classifiers by Genetic Algorithms 

      Molina-Cabello, Miguel A.; Accino, Cristian; López-Rubio, Ezequiel; Thurnhofer-Hemsi, Karl (Springer, 2019)
      Breast cancer exhibits a high mortality rate and it is the most invasive cancer in women. An analysis from histopathological images could predict this disease. In this way, computational image processing might support this ...
    • Infering Air Quality from Traffic Data using Transferable Neural Network Models 

      Molina-Cabello, Miguel A.; Passow, Benjamin N.; Domínguez-Merino, Enrique; Elizondo, David; Obszynska, Jolanta (Springer, 2019-06)
      This work presents a neural network based model for inferring air quality from traffic measurements. It is important to obtain information on air quality in urban environments in order to meet legislative and policy ...
    • Solving Multi-Objective Hub Location Problems with Robustness 

      Domínguez, Miguel A.; Domínguez-Merino, Enrique; Chicano, Francisco; Luque-Polo, Gabriel Jesús (2019-06-19)
      Hub location problems (HLP) are considered in many logistic, telecommunications, and computer problems, where the design of these networks are optimized based on some objective(s) related to the cost or service. In those ...
    • Analyzing Digital Image by Deep Learning for Melanoma Diagnosis 

      Thurnhofer Hemsi, Karl; Domínguez-Merino, Enrique (2019-06-19)
      Image classi cation is an important task in many medical applications, in order to achieve an adequate diagnostic of di erent le- sions. Melanoma is a frequent kind of skin cancer, which most of them can be detected by ...