• closedAccess   Quadratic phase coding for SNR improvement in time-expanded phase-sensitive OTDR 

      Soriano-Amat, Miguel; Martins, Hugo; Durán, Vicente; Martin-Lopez, Sonia; Gonzalez-Herraez, Miguel; Fernández Ruiz, María del Rosario Optical Society of America (2021-09-01)
      Time-expanded phase-sensitive optical time-domain reflectometry (TE − 8OTDR) is a dual-comb-based distributed optical fiber sensing technique capable of providing centimeter scale resolution while maintaining a remarkably low ...
    • openAccess   Quality of life, big data and the power of statistics 

      Gupta, Shivam; Mateu, Jorge; Degbelo, Auriol; Pebesma, Edzer Elsevier (2018)
      The digital era has opened up new possibilities for data-driven research. This paper discusses big data challenges in environmental monitoring and reflects on the use of statisticalmethodsintacklingthesechallengesforim ...
    • openAccess   Random non-autonomous second order linear differential equations: mean square analytic solutions and their statistical properties 

      Calatayud, Julia; Cortés, Juan Carlos; Jornet, Marc; Villafuerte, L. Springer (2018-10-24)
      In this paper we study random non-autonomous second order linear differential equations by taking advantage of the powerful theory of random difference equations. The coefficients are assumed to be stochastic processes, ...
    • openAccess   Ranking European capitals by exposure to heat waves and cold waves 

      Smid, M.; Russo, S.; Costa, Ana Cristina; Granell, Carlos; Pebesma, Edzer Elsevier (2019)
      In warming Europe, we are witnessing a growth in urban population with aging trend, which willmake the society more exposed and vulnerable to extreme weather events. In the period1950–2015 the occurrence of extreme heat ...
    • closedAccess   Ranking-based MCDM models in financial management applications: analysis and emerging challenges 

      Marqués Marzal, Ana Isabel; García, Vicente; Sánchez Garreta, Josep Salvador Springer (2020)
      Over the last decades, the academic and professional communities have paid much attention toward the use of multi-criteria decision-making methods in a range of business and financial problems due to the variety and ...
    • openAccess   Real Time Automated Counterfeit Integrated Circuit Detection using X-ray Microscopy 

      Mahmood, Kaleel; Latorre Carmona, Pedro; Shahbazmohamadi, Sina; Pla, Filiberto; Javidi, Bahram OSA Publishing (2015-05)
      Determining the authenticity of integrated circuits is paramount to preventing counterfeit and malicious hardware from being used in critical military, healthcare, aerospace, consumer, and industry applications. Existing ...
    • closedAccess   Real-time acquisition of complex optical fields by binary amplitude modulation 

      Peters, Eduardo; Clemente, Pere; Salvador Balaguer, Eva; Tajahuerce, Enrique; Andrés, Pedro; Pérez, Darío G.; Lancis, Jesús Optical Society of America (2017)
      We describe, through simulations and experiments, a real-time wavefront acquisition technique using random binary amplitude masks and an iterative phase retrieval algorithm based on the Fresnel propagator. By using a digital ...
    • closedAccess   Real-time anomaly detection from environmental data streams 

      Trilles, Sergio; Schade, Sven; Belmonte-Fernández, Óscar; Huerta, Joaquin Springer International Publishing (2015)
      Modern sensor networks monitor a wide range of phenomena. They are applied in environmental monitoring, health care, optimization of industrial processes, social media, smart city solutions, and many other domains. All in ...
    • openAccess   Real-time tessellation of terrain on graphics hardware 

      Puig Centelles, Anna; Ripollés Mateu, Oscar Enrique; Ramos, Jose Francisco; Chover, Miguel Elsevier (2012-04)
      Synthetic terrain is a key element in many applications, which can lessen the sense of realism if it is not handled correctly. We propose a new technique for visualizing terrain surfaces by tessellating them on the GPU. ...
    • closedAccess   Real-world Deployment of Privacy-Enhancing Authentication System using Attribute-based Credentials 

      Dzurenda, Petr; Casanova-Marqués, Raúl; Malina, Lukas; Hajny, Jan Association for Computing Machinery (ACM) (2022)
      With the daily increase in digitalization and integration of the physical and digital worlds, we need to better protect users’ privacy and identity. Attribute-based Credentials (ABCs) seem to be a promising technology ...
    • openAccess   Recognizing white blood cells with local image descriptors 

      López Puigdollers, Dan; Traver Roig, Vicente Javier; Pla, Filiberto Elsevier (2019-01)
      Automatic and reliable classification of images of white blood cells is desirable for inexpensive, quick and accurate health diagnosis worldwide. In contrast to previous approaches which tend to rely on image segmentation ...
    • openAccess   Recommendation-Based Conceptual Modeling and Ontology Evolution Framework (CMOE+) 

      Gailly, Frederik; Alkhaldi, Nadejda; Casteleyn, Sven; Verbeke, Wouter Springer Verlag (2017-08)
      Within an enterprise, various stakeholders create different conceptual models, such as process, data, and requirements models. These models are fundamentally based on similar underlying enterprise (domain) concepts, but ...
    • closedAccess   Reconfigurable Intelligent Surface Placement in 5G NR/6G: Optimization and Performance Analysis 

      Brancati, Gianluca; Chukhno, Olga; Chukhno, Nadezhda; ARANITI, Giuseppe IEEE (2022-09-12)
      The reconfigurable intelligent surface (RIS) adoption has drawn significant attention for the upcoming generation of cellular networks, i.e., 5G New Radio (NR)/6G, as a technology for forming virtual line-of-sight (LoS) ...
    • openAccess   Reconstructing Secondary Data based on Air Quality, Meteorological and Traffic Data Considering Spatiotemporal Components 

      Iskandaryan, Ditsuhi; Ramos, Jose Francisco; Trilles, Sergio Elsevier (2023-02-08)
      This paper introduces the reconstructed dataset along with procedures to implement air quality prediction, which consists of air quality, meteorological and traffic data over time, and their monitoring stations and measurement ...
    • closedAccess   Reducing complexity in polygonal meshes with view-based saliency 

      Castelló Boscá, Pascual; Chover, Miguel; Sbert Casasayas, Mateu; Feixas, Miguel Elsevier (2014-08)
      Salient features in 3D meshes such as small high-curvature details in the middle of largely flat regions are easily ignored by most mesh simplification methods. Nevertheless, these features can be perceived by human observers ...
    • openAccess   Reflections in topological algebraic structures 

      HERNÁNDEZ ARZUSA, JULIO CÉSAR; Hernández, Salvador Elsevier (2020-08)
      Let C be an epireflective subcategory of Top and let rC be the epireflective functor associated with C. If A denotes a (semi)topological algebraic subcategory of Top, we study when rC (A) is an epireflective subcategory ...
    • openAccess   Reflexiones sobre por qué el estudiantado no acude a las actividades complementarias y propuesta de soluciones 

      Montoliu Colás, Raul; Rebollo Santamaría, Cristina; Remolar, Inmaculada JENUI Editores (2022-07)
      En el grado en Diseño y Desarrollo de Videojuegos de la universidad Jaume I de Castellón parte del estudiantado tiene la opinión de que el profesorado que imparte la docencia en el grado deberían ser profesionales del ...
    • openAccess   Relación entre la frecuencia cardíaca y el marcador durante una fase de descenso 

      Batalla Gavaldà, Abraham; Bofill Ródenas, Ana Maria; Montoliu Colás, Raul; Corbi Soler, Francisco Institut Nacional d'Educació Física de Catalunya (2018)
      In team sports, the study of heart rate (HR) is fundamental for optimizing performance and preventing injuries since it allows us to learn about some of the physiological demands generated by doing sport and the level of ...
    • openAccess   Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture 

      Trilles, Sergio; Juan, Pablo; Díaz-Avalos, Carlos; Ribeiro, Sara; Painho, Marco MDPI (2020)
      Temperature, humidity and precipitation have a strong influence on the generation of diseases in different crops, especially in vine. In recent years, advances in different disciplines have enabled the deployment of sensor ...
    • openAccess   Reliability Validation of a Low-Cost Particulate Matter IoT Sensor in Indoor and Outdoor Environments Using a Reference Sampler 

      Trilles, Sergio; Vicente, Ana Belen; Juan, Pablo; Ramos, Jose Francisco; Meseguer Costa, Sergio; Serra, Laura MDPI (2019)
      A suitable and quick determination of air quality allows the population to be alerted with respect to high concentrations of pollutants. Recent advances in computer science have led to the development of a high number of ...