Listar Institute of New Imaging Technologies (INIT) por título

Mostrando ítems 202-221 de 858

    • openAccess   Contribution to the Improvement of the Correlation Filter Method for Modal Analysis with a Spatial Light Modulator 

      Benedicto, David; Collados, María Victoria; Martín, Juan C.; Atencia Carrizo, Jesús; Mendoza-Yero, Omel; Vallés, Juan A. MDPI (2022)
      Modal decomposition of light is essential to study its propagation properties in waveguides and photonic devices. Modal analysis can be carried out by implementing a computer-generated hologram acting as a match filter ...

    • openAccess   Contributions to the Bohr topology by W.W. Comfort 

      Hernández, Salvador; Remus, Dieter; Trigos, Javier Elsevier (2019)
      The important rôle that W. W. Comfort played in the study of the Bohr topology is described.

    • closedAccess   Controlled multi-beam supercontinuum generation in fused silica by means of spatial light modulators 

      Pérez Vizcaíno, Jorge; Carbonell Leal, Miguel; Buendia, Carlos D.; Tajahuerce, Enrique; Borrego Varillas, Rocío IEEE (2015-06)
      We report on deterministic femtosecond multi-filamentation in fused silica by encoding a diffractive microlens array into a spatial light modulator. The efficiency and focal length of each microlens are electronically ...

    • openAccess   Controlled Multibeam Supercontinuum Generation With a Spatial Light Modulator 

      Borrego Varillas, Rocío; Pérez Vizcaíno, Jorge; Mendoza-Yero, Omel; Mínguez-Vega, Gladys; Vázquez de Aldana, Javier R.; Lancis, Jesús IEEE (2014)
      We report on deterministic femtosecond multifilamentation in fused silica by encoding a diffractive microlens array into a spatial light modulator. The efficiency and focal length of each microlens are modified through ...

    • closedAccess   Counterbalance between Surface and Confinement Effects As Studied for Amino-Terminated Poly(propylene glycol) Constraint in Silica Nanopores 

      Kiprop Kipnusu, Wycliffe; M. Elmahdy, Mahdy; Elsayed, Mohamed; Krause-Rehberg, Reinhard; Kremer, Friedrich American Chemical Society (2019)
      Broadband dielectric spectroscopy (BDS) and orthopositronium annihilation lifetime spectroscopy (PALS) are combined to study the molecular dynamics and the free volume of poly(propylene glycol) terminated with amino end ...

    • openAccess   Coupling Helmholtz resonators for sound manipulation 

      SABAT, ROBINE; Leveque, Gaëtan; pennec, yan; Torrent, Daniel; Djafari Rouhani, Bahram IEEE (2021-09-20)
      In this work, we discuss the interaction between Helmholtz resonators, using the finite element method. We show that the coupling between two spheres gives rise to two resonant modes at low frequencies. One is symmetric ...

    • closedAccess   Covariance functions for multivariate Gaussian fields evolving temporally over planet earth 

      Alegría, Alfredo; Porcu, Emilio; Furrer, Reinhard; Mateu, Jorge Springer-Verlag GmbH Germany, part of Springer Nature (2019-07-18)
      The construction of valid and flexible cross-covariance functions is a fundamental task for modeling multivariate space– time data arising from, e.g., climatological and oceanographical phenomena. Indeed, a suitable ...

    • openAccess   Creating a conceptual framework to improve the re‐usability of open geographic data in cities 

      Benitez-Paez, Fernando; Comber, Alexis; Trilles, Sergio; Huerta, Joaquin Wiley (2018)
      Open data has a profound effect on the working environment within which information is created and shared at all levels. At the local government level, open data initiatives have resulted in higher transparency in policy, ...

    • openAccess   Creating a treadmill running video game with smartwatch interaction 

      Marin-Lora, Carlos; Chover, Miguel; Yanet Martín, Micaela; García Rytman, Linda Springer (2023)
      In recent years, indoor or at-home sports have experienced signifcant growth. However, monotony is a common challenge in these static physical activities. Exergames, a genre of video games that combines physical activity ...

    • openAccess   Curvature approximation from parabolic sectors 

      Gual-Arnau, Ximo; Ibáñez Gual, Maria Victoria; Monterde, Juan International Society for Stereology (2017)
      We propose an invariant three-point curvature approximation for plane curves based on the arc of a parabolic sector, and we analyze how closely this approximation is to the true curvature of the curve. We compare our results ...

    • openAccess   D2D-based Cooperative Positioning Paradigm for Future Wireless Systems: A Survey 

      Chukhno, Nadezhda; Trilles, Sergio; Torres-Sospedra, Joaquín; Iera, Antonio; ARANITI, Giuseppe Institute of Electrical and Electronics Engineers (2021-07-21)
      Emerging communication network applications require a location accuracy of less than 1m in more than 95% of the service area. For this purpose, 5G New Radio (NR) technology is designed to facilitate high-accuracy continuous ...

    • openAccess   DAT-CNN: Dual Attention Temporal CNN for Time-Resolving Sentinel-3 Vegetation Indices 

      Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Pla, Filiberto; Yokoya, Naoto IEEE (2022-03-22)
      The synergies between Sentinel-3 (S3) and the forthcoming fluorescence explorer (FLEX) mission bring us the opportunity of using S3 vegetation indices (VI) as proxies of the solar-induced chlorophyll fluorescence (SIF) ...

    • closedAccess   Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets 

      Quezada Gaibor, Darwin; Klus, Lucie; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Nurmi, Jari; Granell, Carlos; Huerta, Joaquin IEEE (2022)
      Wearable and IoT devices requiring positioning and localisation services grow in number exponentially every year. This rapid growth also produces millions of data entries that need to be pre-processed prior to being ...

    • openAccess   Data on CO2, temperature and air humidity records in Spanish classrooms during the reopening of schools in the COVID-19 pandemic 

      Trilles, Sergio; Juan, Pablo; Chaudhuri, Somnath; Vicente, Ana Belen Elsevier (2021-10-17)
      In order to reduce the advance of the pandemic produced by COVID-19, many actions and restrictions have been applied and the field of education has been no exception. In Spain, during the academic year 2020–2021, face-to-face ...

    • openAccess   Data on records of environmental phenomena using low-cost sensors in vineyard smallholdings 

      Trilles, Sergio; González-Pérez, Alberto; Benito, Pedro J; Huerta, Joaquin Elsevier (2020-12)
      Inadequate weather conditions are one of the main threats to the correct development of sensitive crops, where a bad situation can lead to greater stress on plants and their weakness against various diseases. This statement ...

    • openAccess   Dataset of inertial measurements of smartphones and smartwatches for human activity recognition 

      Matey-Sanz, Miguel; Casteleyn, Sven; Granell, Carlos Elsevier (2023-11-17)
      This article describes a dataset for human activity recognition with inertial measurements, i.e., accelerometer and gyroscope, from a smartphone and a smartwatch placed in the left pocket and on the left wrist, respectively. ...

    • openAccess   DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem 

      Guzmán-Ponce, Angélica; Sánchez Garreta, Josep Salvador; Valdovinos Rosas, Rosa María; Marcial-Romero, J. Raymundo Elsevier (2020-11-12)
      The class imbalance problem occurs when one class far outnumbers the other classes, causing most traditional classifiers perform poorly on the minority classes. To tackle this problem, a plethora of techniques have been ...

    • openAccess   Deep Hashing Based on Class-Discriminated Neighborhood Embedding 

      kang, jian; Fernandez-Beltran, Ruben; Zhen, Ye; Tong, Xiaohua Institute of Electrical and Electronics Engineers (2020-09-30)
      Deep-hashing methods have drawn significant attention during the past years in the field of remote sensing (RS) owing to their prominent capabilities for capturing the semantics from complex RS scenes and generating the ...

    • openAccess   Deep Learning-Based Building Footprint Extraction With Missing Annotations 

      kang, jian; Fernandez-Beltran, Ruben; Sun, Xian; Ni, Jingen; Plaza, Antonio Institute of Electrical and Electronics Engineers (2021-04-21)
      Most state-of-the-art deep learning-based methods for extraction of building footprints are aimed at designing proper convolutional neural network (CNN) architectures or loss functions able to effectively predict building ...

    • openAccess   Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization 

      kang, jian; Fernandez-Beltran, Ruben; Zhen, Ye; Tong, Xiaohua; Ghamisi, Pedram; Plaza, Antonio Institute of Electrical and Electronics Engineers (2020-05-12)
      With the development of convolutional neural networks (CNNs), the semantic understanding of remote sensing (RS) scenes has been significantly improved based on their prominent feature encoding capabilities. While many ...