Resultados totales (Incluyendo duplicados): 33822
Encontrada(s) 3383 página(s)
Encontrada(s) 3383 página(s)
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70847
Dataset. 2022
DATA FROM "ANALYZING SYNTACTIC CONSTRUCTS OF JAVA PROGRAMS WITH MACHINE LEARNING"
- Ortín Soler, Francisco|||0000-0003-1199-8649
- Facundo Colunga, Guillermo|||0000-0003-1283-2763
- García Rodríguez, Miguel|||0000-0002-3150-2826
Data from the article "F. Ortin, G. Facundo, M. Garcia. Analyzing syntactic constructs of Java programs with machine learning. Expert Systems with Applications (215), pp. 119398-119414, 2023. https://doi.org/10.1016/j.eswa.2022.119398", The massive number of open-source projects in public repositories has notably increased in the last years. Such repositories represent valuable information to be mined for different purposes, such as documenting recurrent syntactic constructs, analyzing the particular constructs used by experts and beginners, using them to teach programming and to detect bad programming practices, and building programming tools such as decompilers, Integrated Development Environments or Intelligent Tutoring Systems. An inherent problem of source code is that its syntactic information is represented with tree structures, while traditional machine learning algorithms use n-dimensional datasets. Therefore, we present a feature engineering process to translate tree structures into homogeneous and heterogeneous n-dimensional datasets to be mined. Then, we run different interpretable (supervised and unsupervised) machine learning algorithms to mine the syntactic information of more than 17 million syntactic constructs in Java code. The results reveal interesting information such as the Java constructs that are barely (and widely) used (e.g., bitwise operators, union types and static blocks), different language features and patterns mostly (and barely) used by beginners (and experts), the discovery of particular types of source code (e.g., helper or utility classes, data transfer objects and too complex abstractions), and how complexity is an inherent characteristic in some clusters of syntactic constructs., This work has been partially funded by the Spanish Department of Science, Innovation and Universities: project RTI2018-099235-B-I00. The authors have also received funds from the University of Oviedo, Spain through its support of official research groups (GR-2011-0040).
Proyecto: //
DOI: https://hdl.handle.net/10651/70847, https://dx.doi.org/10.17811/ruo_datasets.70847
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70847
HANDLE: https://hdl.handle.net/10651/70847, https://dx.doi.org/10.17811/ruo_datasets.70847
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70847
PMID: https://hdl.handle.net/10651/70847, https://dx.doi.org/10.17811/ruo_datasets.70847
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70847
Ver en: https://hdl.handle.net/10651/70847, https://dx.doi.org/10.17811/ruo_datasets.70847
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70847
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70492
Dataset. 2023
DATA FROM RESEARCH PAPER: ELECTRICAL COMPATIBILITY OF TRANSMISSION FLUIDS IN ELECTRIC VEHICLES
- Rodríguez Ordóñez, Eduardo|||0000-0001-9358-5738
- Rivera, Noelia
- Fernández González, Alfonso|||0000-0001-6240-2222
- Pérez, Tomás
- González, Rubén
- Hernández Battez, Antolín Esteban|||0000-0003-0828-4995
This dataset contains the electrical conductivity, viscosity and Fourier Transform Infrared spectroscopy values of the three lubricant samples used in fresh (A0, B0 and C0) and aged (A1-A8, B1-B8 and C1-C8) conditions., The authors acknowledge the Ministry of Science, Innovation and Universities (Spain) for supporting the projects under this work was made (grant numbers: PID2019–109367RB-I00 and RTI2018–099756- B-I00).
Proyecto: //
DOI: https://hdl.handle.net/10651/70492, https://dx.doi.org/10.17811/ruo_datasets.70492
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70492
HANDLE: https://hdl.handle.net/10651/70492, https://dx.doi.org/10.17811/ruo_datasets.70492
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70492
PMID: https://hdl.handle.net/10651/70492, https://dx.doi.org/10.17811/ruo_datasets.70492
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70492
Ver en: https://hdl.handle.net/10651/70492, https://dx.doi.org/10.17811/ruo_datasets.70492
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70492
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70836
Dataset. 2022
DATA FROM "THE STADYN PROGRAMMING LANGUAGE"
- Ortín Soler, Francisco|||0000-0003-1199-8649
- García Rodríguez, Miguel|||0000-0002-3150-2826
- García Pérez-Schofield, José Baltasar
- Quiroga Álvarez, José|||0000-0002-1646-4796
Data from the article "F. Ortin, M. Garcia, B. Garcia Perez-Schofield, J. Quiroga. The StaDyn Programming Language. SoftwareX (20), pp. 101211-101222, 2022. https://doi.org/10.1016/j.softx.2022.101211", Hybrid static and dynamic typing languages are aimed at combining the benefits of both kinds of languages: the early type error detection and compile-time optimizations of static typing, together with the runtime adaptability of dynamically typed languages. The StaDyn programming language is a hybrid typing language, whose main contribution is the utilization of the type information gathered by the compiler to improve compile-time error detection and runtime performance. StaDyn has been evaluated as the hybrid typing language for the .Net platform with the highest runtime performance and the lowest memory consumption. Although most optimizations are performed statically by the compiler, compilation time is yet lower than the existing hybrid languages implemented on the .Net platform., The StaDyn programming language was partially funded by Microsoft Research, United States with the project entitled Extending Dynamic Features of the SSCLI, awarded in the Phoenix and SSCLI, Compilation and Managed Execution Request for Proposals. It was also funded by the Spanish Department of Science, Innovation, and Universities (project RTI2018-099235-B-I00) and the University of Oviedo, Spain (GR-2011-0040).
Proyecto: //
DOI: https://hdl.handle.net/10651/70836, https://dx.doi.org/10.17811/ruo_datasets.70836
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70836
HANDLE: https://hdl.handle.net/10651/70836, https://dx.doi.org/10.17811/ruo_datasets.70836
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70836
PMID: https://hdl.handle.net/10651/70836, https://dx.doi.org/10.17811/ruo_datasets.70836
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70836
Ver en: https://hdl.handle.net/10651/70836, https://dx.doi.org/10.17811/ruo_datasets.70836
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70836
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72763
Dataset. 2024
DATOS ASOCIADOS AL ARTÍCULO "LA SEGREGACIÓN OCUPACIONAL POR SEXO. EVOLUCIÓN Y SITUACIÓN EN 2022"
- Ibáñez Pascual, Marta|||0000-0001-5185-7467
- Tejero Pérez, Aroa|||0000-0002-8583-4156
Se actualiza el panorama de la segregación ocupacional en España para el año 2022 y se examina su evolución y factores determinantes a lo largo del último siglo. Para ello, se emplean los índices más utilizados en la literatura: el Índice de Gini (y las curvas de Lorenz), el Índice de Desigualdad y el Índice de Desigualdad Descompuesto (que neutraliza el efecto de la estructura), utilizando datos censales para asegurar un alto nivel de desagregación. Los factores que influyen en la segregación se evalúan mediante regresiones multinomiales y se contrastan a través de efectos marginales (EPA, 2011 y 2021). Los resultados muestran que la segregación no experimenta una disminución significativa, dado que aumenta el peso de las ocupaciones con mayor grado de segregación mientras que disminuye en las ocupaciones que ya presentaban un proceso de integración. Asimismo, se verifica una relación inversa entre ingresos y nivel educativo en las ocupaciones predominantemente masculinas y femeninas
Proyecto: //
DOI: https://hdl.handle.net/10651/72763, https://dx.doi.org/10.17811/ruo_datasets.72763
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72763
HANDLE: https://hdl.handle.net/10651/72763, https://dx.doi.org/10.17811/ruo_datasets.72763
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72763
PMID: https://hdl.handle.net/10651/72763, https://dx.doi.org/10.17811/ruo_datasets.72763
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72763
Ver en: https://hdl.handle.net/10651/72763, https://dx.doi.org/10.17811/ruo_datasets.72763
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72763
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76185
Dataset. 2025
PATCH ANTENNAS CHARACTERIZATION FOR ENHANCED MICROWAVE IMAGING
- Álvarez López, Yuri
- Flórez Berdasco, Alicia
- De Cos Gómez, Mª Elena
- Laviada Martínez, Jaime
- Las-Heras Andrés, Fernando
This dataset corresponds to the measurements of two microstrip patch antennas, collected using the facility described in [1]. The available measurements contained within the dataset allow a complete characterization of the field radiated by these antennas. These fields can be introduced in enhanced microwave imaging algorithms that consider the field radiated by the transmitting and receiving antennas of the microwave imaging system [2] (modified Delay and Sum algorithm), [3] (modified Phase Shift Migration imaging algorithm). The patch antennas that are characterized are the ones presented in [4].
The files "Emeas_leftPatch_z30cm.zip" and "Emeas_rightPatch_z30cm.zip", correspond to the copolar component (Ex component) of the electric field radiated by the patch antennas (left and right as depicted in the figure “PictureDataset.png”). More precisely, it corresponds to the S21 parameter, which is proportional to the electric field radiated by the patch antenna.
Measurements were conducted within the frequency range from 22 GHz to 28 GHz, with a frequency step of 15 MHz. Measurements were collected on a domain of size Lx × Ly = 70 cm × 70 cm, discretized every δx,y = 5 mm (0.42 wavelengths at the center frequency of 25 GHz). The distance between the patch antenna (antenna under test) and the measurement plane was 30 cm. An Open-Ended Waveguide was used as probe antenna.
The measured electric field was backpropagated from the measurement plane to the patch antenna aperture plane using the backpropagation algorithm described in [5]. The electric fields on the aperture plane are provided in the files “Eap_leftPatch.zip” and “Eap_rightPatch.zip” for the left and right patch antennas, respectively. The aperture fields were calculated on a planar domain having the same size as the measurement plane, that is, Lx × Ly = 70 cm × 70 cm, and also discretized every δx,y = 5 mm.
[1] A. Arboleya, Y. Alvarez, and F. Las-Heras, “Millimeter and submillimeter planar measurement setup,” in 2013 IEEE Antennas and Propagation Society International Symposium (APSURSI), 2013, pp. 1–2.
[2] Y. Alvarez Lopez and F. Las-Heras, “On the use of an equivalent currents-based technique to improve electromagnetic imaging,” IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 8004113, 2022.
[3] Y. Alvarez López and F. Las-Heras Andrés, "Improved Methods for Fourier-based Microwave Imaging," Sensors, Vol. 23, pp. 9250, 2023.
[4] A. F. Berdasco, J. Laviada, M. E. de Cos Gómez and F. Las-Heras, “Performance Evaluation of Millimeter-Wave Wearable Antennas for Electronic Travel Aid,” in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-10, 2023, Art no. 4507510, doi: 10.1109/TIM.2023.3320736.
[5] J. Hanfling, G. Borgiotti, and L. Kaplan, “The backward transform of the near field for reconstruction of aperture fields,” in 1979 Antennas and Prop. Society Intl. Symposium, vol. 17, 1979, pp. 764–767., Ministerio de Ciencia e Innovación of Spain, Agencia Estatal de Investigación of Spain, and Fondo Europeo de Desarrollo Regional (FEDER). Grant Number: PID2021-122697OB-I00 (“META-IMAGER”)
Proyecto: //
DOI: https://hdl.handle.net/10651/76185, https://dx.doi.org/10.17811/ruo_datasets.76185
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76185
HANDLE: https://hdl.handle.net/10651/76185, https://dx.doi.org/10.17811/ruo_datasets.76185
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76185
PMID: https://hdl.handle.net/10651/76185, https://dx.doi.org/10.17811/ruo_datasets.76185
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76185
Ver en: https://hdl.handle.net/10651/76185, https://dx.doi.org/10.17811/ruo_datasets.76185
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76185
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73040
Dataset. 2024
DATA DOCUMENTATION FOR ELECTROCHEMCAP: AN INTEGRATED DETECTION OF LOOP-MEDIATED ISOTHERMAL AMPLIFICATION REACTIONS
- Rioboó Legaspi, Pablo|||0000-0001-6222-3937
- Costa Rama, Estefanía|||0000-0002-5357-9269
- Fernández Abedul, María Teresa|||0000-0003-3782-5025
This work was supported by the I+D+I projects PID2020-118376RA-I00 (funded by MCIN/AEI/10.13039/501100011033) and AYUD/2021/51289 (from the PCTI Program of the Government of the Principality of Asturias and the FEDER Program of the EU). P.R.L. was supported by the Asturian Council for Science, Technology, and Innovation Severo Ochoa grant (BP21-029) and E.C.R. by the Spanish Ministry of Universities Beatriz Galindo grant (BG20-00027).
Proyecto: //
DOI: https://hdl.handle.net/10651/73040, https://dx.doi.org/10.17811/ruo_datasets.73040
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73040
HANDLE: https://hdl.handle.net/10651/73040, https://dx.doi.org/10.17811/ruo_datasets.73040
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73040
PMID: https://hdl.handle.net/10651/73040, https://dx.doi.org/10.17811/ruo_datasets.73040
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73040
Ver en: https://hdl.handle.net/10651/73040, https://dx.doi.org/10.17811/ruo_datasets.73040
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73040
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/71348
Dataset. 2024
DATASET ASSOCIATED TO THE ARTICLE: ELECTROCATALYTIC PALLADIUM NANOCLUSTERS AS VERSATILE INDICATORS OF BIOASSAYS: RAPID ELECTROANALYTICAL DETECTION OF SARS-COV-2 BY REVERSE TRANSCRIPTION LOOP-MEDIATED ISOTHERMAL AMPLIFICATION
- Rodríguez Penedo, Alejandro|||0000-0002-0061-792X
- Rioboó Legaspi, Pablo|||0000-0001-6222-3937
- González López, Andrea|||0000-0001-7322-1638
- Lores Padín, Ana|||0000-0002-5564-591X
- Pereiro García, María Rosario|||0000-0002-5936-7726
- García Suárez, María del Mar|||0000-0002-5920-3393
- Cima Cabal, María Dolores
- Costa Rama, Estefanía|||0000-0002-5357-9269
- Fernández García, Beatriz|||0000-0002-2592-1442
- Fernández Abedul, María Teresa|||0000-0003-3782-5025
Proyecto: //
DOI: https://hdl.handle.net/10651/71348, https://dx.doi.org/10.17811/ruo_datasets.71348
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/71348
HANDLE: https://hdl.handle.net/10651/71348, https://dx.doi.org/10.17811/ruo_datasets.71348
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/71348
PMID: https://hdl.handle.net/10651/71348, https://dx.doi.org/10.17811/ruo_datasets.71348
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/71348
Ver en: https://hdl.handle.net/10651/71348, https://dx.doi.org/10.17811/ruo_datasets.71348
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/71348
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73095
Dataset. 2024
CFD DATA OF AN OWC TURBINE OPTIMIZATION
- Vega Valladares, Aitor|||0000-0002-3516-7252
- García Díaz, Manuel
- Pereiras García, Bruno|||0000-0002-1820-1711
As detailed in the "ReadMe.txt" file of the dataset, the name of the text files which contain the CFD data has been encoded to facilitate post-processing of the data by any user., Numerical data associated with the original research paper entitled: "Multi-Objective Response Surface Optimization of a centrifugal turbine for application in Oscillating Water Column devices equipped with a Twin Turbine Configuration" authored by Aitor Vega-Valladares and co-authored by Manuel Garcia-Diaz and Bruno Pereiras, all members of FERES research group of the University of Oviedo.
In this paper, a novel methodology, specifically created to optimize Oscillating Water Column (OWC) devices equipped with Twin Turbine Configuration (TTC) systems, is presented.
With the information contained in this dataset, the optimization could be carried out in another working environment or following another methodology., At data collection date, Aitor Vega-Valladares was supported by the “Administración del Principado de Asturias” within the “Severo Ochoa” Program (grant number BP21-160).
Proyecto: //
DOI: https://hdl.handle.net/10651/73095, https://dx.doi.org/10.17811/ruo_datasets.73095
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73095
HANDLE: https://hdl.handle.net/10651/73095, https://dx.doi.org/10.17811/ruo_datasets.73095
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73095
PMID: https://hdl.handle.net/10651/73095, https://dx.doi.org/10.17811/ruo_datasets.73095
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73095
Ver en: https://hdl.handle.net/10651/73095, https://dx.doi.org/10.17811/ruo_datasets.73095
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73095
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73898
Dataset. 2023
SERIAL RESONANT CONVERTER (SRC) POLYNOMIAL MODEL IMPLEMENTED IN A DIGITAL SIGNAL CONTROLLER (DSC)
- Díaz González, Juan
- Rwamurangwa, Evode
- Villegas Saiz, Pedro
- Martín Ramos, Juan Antonio|||0000-0002-0158-4656
- Martín Pernía, Alberto|||0000-0002-6510-1422
- González Busto, María|||0000-0002-8279-9033
Design files needed to develop a Serial Resonant Converter model based on polynomials. This format is suitable to be implemented in Digital Controllers, such as DSCs
Proyecto: //
DOI: https://hdl.handle.net/10651/73898, https://dx.doi.org/10.17811/ruo_datasets.73898
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73898
HANDLE: https://hdl.handle.net/10651/73898, https://dx.doi.org/10.17811/ruo_datasets.73898
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73898
PMID: https://hdl.handle.net/10651/73898, https://dx.doi.org/10.17811/ruo_datasets.73898
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73898
Ver en: https://hdl.handle.net/10651/73898, https://dx.doi.org/10.17811/ruo_datasets.73898
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73898
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76118
Dataset. 2018
DATA FROM "DISCOVERING RELATED SCIENTIFIC LITERATURE BEYOND SEMANTIC SIMILARITY: A NEW CO-CITATION APPROACH"
- Rodríguez Prieto, Óscar
- Araujo Serna, M. Lourdes
- Martínez Romo, Juan
Data from the article "O. Rodriguez-Prieto, L. Araujo, J. Martinez-Romo. Discovering related scientific literature beyond semantic similarity: a new co-citation approach. Scientometrics(120) issue 1, pp. 105-127, 2019. https://doi.org/10.1007/s11192-019-03125-9", We propose a new approach to recommend scientifc literature, a domain in which the efcient organization and search of information is crucial. The proposed system relies on the hypothesis that two scientifc articles are semantically related if they are co-cited more frequently than they would be by pure chance. This relationship can be quantifed by the probability of co-citation, obtained from a null model that statistically defnes what we consider pure chance. Looking for article pairs that minimize this probability, the system is able to recommend a ranking of articles in response to a given article. This system is included in the co-occurrence paradigm of the feld. More specifcally, it is based on co-cites so it can produce more focused on relatedness than on similarity. Evaluation has been performed on the ACL Anthology collection and on the DBLP dataset, and a new corpus has been compiled to evaluate the capacity of the proposal to fnd relationships beyond similarity. Results show that the system is able to provide, not only articles similar to the submitted one, but also articles presenting other kind of relations, thus providing diversity, i.e. connections to new topics., The work of Oscar Rodriguez-Prieto was supported by the Spanish Department of Science, Innovation and Universities under an FPU grant (FPU15/05261).
Proyecto: //
DOI: https://hdl.handle.net/10651/76118, https://dx.doi.org/10.17811/ruo_datasets.76118
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76118
HANDLE: https://hdl.handle.net/10651/76118, https://dx.doi.org/10.17811/ruo_datasets.76118
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76118
PMID: https://hdl.handle.net/10651/76118, https://dx.doi.org/10.17811/ruo_datasets.76118
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76118
Ver en: https://hdl.handle.net/10651/76118, https://dx.doi.org/10.17811/ruo_datasets.76118
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76118
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