Diferencia entre revisiones de «Ramón Moreno Jiménez»

De Grupo de Inteligencia Computacional (GIC)
 
(No se muestran 63 ediciones intermedias del mismo usuario)
Línea 1: Línea 1:
<table border=0 cellspacing=10 cellpadding=10 >
<table border=0 cellspacing=10 cellpadding=10 >
<tr><td valign=top>
<tr><td valign=top aling= center>
http://upload.wikimedia.org/wikipedia/commons/5/56/Fundraising_2009-horizontal-treasure-en.png
:[[Imagen: Arabesco22b.png]] [[Imagen: Arabesco22.png]] [[Imagen: Arabesco22b.png]][[Imagen: Arabesco22.png]]
<table border=0 cellspacing=10 cellpadding=10 ><tr><td valign=top>
<table border=0 cellspacing=10 cellpadding=10 ><tr><td valign=top>
[[Imagen:TriangleParadox 1000.jpg | thumb|150px|]]
[[Imagen:TriangleParadox 1000.jpg | thumb|100px|]]


</td><td>
</td><td>
Línea 12: Línea 12:


--------------------
--------------------
:Lab 307
:(+0034) 943 01 8047
:[[Imagen:mailmore.png|150px]]
:[[Imagen:mailmore.png|150px]]
</td> </tr></table>
</td> </tr></table>
Línea 29: Línea 26:
[http://www.ehu.es/ccwintco/groupware/index.php?menuaction=phpbrain.uikb.view_article&art_id=277&query=277 Current works]
[http://www.ehu.es/ccwintco/groupware/index.php?menuaction=phpbrain.uikb.view_article&art_id=277&query=277 Current works]
[http://scholar.google.com/citations?hl=en&user=5PNJr90AAAAJ Google Scholar Index]
[http://scholar.google.com/citations?hl=en&user=5PNJr90AAAAJ Google Scholar Index]
=== 2013 ===
*;''Extreme Learning Machines for Soybean classification in remote sensing Hyperspectral Images''
:Ramón Moreno, Francesco Corona, et al. Neurocomputing (Submitted)
*;''A Machine Learning based Intelligent Vision System for Autonomous Object Detection and Recognition''
: D. M. Ramik, R. Moreno, K. Madani, et al. Journal of Electronic Imaging (submitted)
*; ''Segmentation of Hyperspectral Images by Chromatic t-Watershed ''
: Ramón Moreno, Manuel Graña. KES Invited Sessions (submitted)
*;''A robust color Watershed transformation and image segmentation defined on RGB Spherical Coordinates''
: Ramon Moreno, Manuel Graña and Kurosh Madani, Robotic Vision: Technologies for Machine Learning and Vision Applications, pp112-128
: doi:10.4018/978-1-4666-2672-0.ch007  ISBN: 978-1-4666-2734-5
*;''Visual Detection in Linked Multi-Component Robotic Systems''
: J.M. Lopez-Guede, B. Fernandez-Gauna, R. Moreno and M. Graña, Robotic Vision: Technologies for Machine Learning and Vision Applications. pp78-97
: doi:10.4018/978-1-4666-2672-0.ch007  ISBN: 978-1-4666-2734-5
=== 2012 ===
=== 2012 ===
*; ''Spherical Coordinates Framed RGB Color Space Dichromatic Reflection Model Based Image Segmentation: Application to Wildland Fires’ Outlines Extraction''
:V. Amarger, D. M. Ramík, C. Sabourin, K. Madani, R. Moreno, L. Rossi, M.Graña. Proceedings of International conference on Image Processing Theory, Tools and Applications (IEEE-IPTA 2012), ISBN: 978-1-4673-2582-0, Istanbul, Turkey, October 15 - 18, pp. 19-24, 2012.
*;''Extreme Learning Machine for Dimensionality Reduction and Classification on Hyperspectral Images''
:Ramón Moreno, Manuel Graña and Alicia D’Anjou. Proceedings of the 7th International Conference on Neural Networks and Artificial Intelligence, ICNNAI'2012, 2012, 231-234
*;''Extreme Learning Machines for Soybean classification in remote sensing Hyperspectral Images''
:Ramón Moreno, Francesco Corona, et al. The International Symposium on Extreme Learning Machines
*;''Hyperspectral Image Segmentation by t-Watershed and Hyperspherical Coordinates''
*;''Hyperspectral Image Segmentation by t-Watershed and Hyperspherical Coordinates''
: Ramón Moreno, Manuel Graña and alicia d'Anjou, KES 2012 (submitted)
: Ramón Moreno and Alicia d'Anjou.  Frontiers in Artificial Intelligence and Applications Volume 243, 2012 pp.2114 -2121
: Advances in Knowledge-Based and Intelligent Information and Engineering Systems Edited by Manuel Graña et al.
: ISBN 978-1-61499-104-5 [http://dx.doi.org/10.3233/978-1-61499-105-2-2114 DOI: 10.3233/978-1-61499-105-2-2114]


*;''Image Segmentation on the Spherical Coordinate Representation of the RGB Color Space''
*;''Image Segmentation on the Spherical Coordinate Representation of the RGB Color Space''
: R. Moreno, D. M. Ramik, M. Graña, and K. Madani, IET Image processing (submitted)
: R. Moreno, D. M. Ramik, M. Graña, and K. Madani, IET Image processing pp1-9  doi: 10.1049/iet-ipr.2011.0634
 
*;''A robust color Watershed transformation and image segmentation defined on RGB Spherical Coordinates''
: Ramon Moreno, Manuel Graña, et al., Robotic Vision: Technologies for Machine Learning and Vision Applications (submitted)


*;''About Gradient operators on Hyperspectral Images''
*;''About Gradient operators on Hyperspectral Images''
: Ramón Moreno, Manuel Graña. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, pages 433-437   
: Ramón Moreno, Manuel Graña. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, pages 433-437   
DOI: 10.5220/0003863904330437 [http://www.ehu.es/ccwintco/groupware/webdav.php/apps/phpbrain/277/ICPRAM-Presentacion-Ramon.pdf Slides]
:[http://dx.doi.org/10.5220/0003863904330437 DOI: 10.5220/0003863904330437] [http://www.ehu.es/ccwintco/groupware/webdav.php/apps/phpbrain/277/ICPRAM-Presentacion-Ramon.pdf Slides]


*;''A Hybrid Gradient for n-Dimensional Images through Hyperspherical Coordinates''
*;''A Hybrid Gradient for n-Dimensional Images through Hyperspherical Coordinates''
: Ramón Moreno, Manuel Graña. HAIS 2012 , Hybrid Artificial Intelligent Systems Lecture Notes in Computer Science, 2012, Volume 7209/2012, 404-415,
: Ramón Moreno, Manuel Graña. HAIS 2012 , Hybrid Artificial Intelligent Systems Lecture Notes in Computer Science, 2012, Volume 7209/2012, 404-415,
DOI: 10.1007/978-3-642-28931-6_39  [http://www.ehu.es/ccwintco/groupware/webdav.php/apps/phpbrain/277/HAIS12%20presentacion%20Ramon.pdf Slides]
:[http://www.springerlink.com/content/wu7214862nx1t246/ DOI: 10.1007/978-3-642-28931-6_39]   [http://www.ehu.es/ccwintco/groupware/webdav.php/apps/phpbrain/277/HAIS12%20presentacion%20Ramon.pdf Slides]
 
*; '' Thesis: Contributions to Robust Chromatic Digital Image Processing'' [[media:Contributions_to_Robust_Chromatic_Digital_Image_Processing.pdf | download it!‎ ]]


=== 2011 ===
=== 2011 ===
Línea 190: Línea 216:
[http://homepage.tudelft.nl/19j49/Matlab_Toolbox_for_Dimensionality_Reduction.html Matlab toolbox for dimensionality reduction]
[http://homepage.tudelft.nl/19j49/Matlab_Toolbox_for_Dimensionality_Reduction.html Matlab toolbox for dimensionality reduction]


[http://www.gdal.org/ gdal library]
[http://trac.osgeo.org/gdal/wiki/GdalOgrInJava gdal-java]




Línea 260: Línea 289:
[http://www.cvc.uab.es/color_calibration/Bristol_Hyper/ Bristol Hyperspecrtal Images]
[http://www.cvc.uab.es/color_calibration/Bristol_Hyper/ Bristol Hyperspecrtal Images]


</td> </tr></table>
[https://sourceforge.net/p/hyperspectralim/wiki/Home/ SourceForge repository]


[https://sourceforge.net/projects/hyperspectralim/ SourceForge Hyperspectral repository]


</td> </tr></table>


== Imminent Conferences ==
== Imminent Conferences ==
Línea 292: Línea 323:
Sources of the Spherical interpretation of the RGB color space and its applications on [[Robotic Vision: Technologies for Machine Learning and Vision Applications ]]
Sources of the Spherical interpretation of the RGB color space and its applications on [[Robotic Vision: Technologies for Machine Learning and Vision Applications ]]


== Estado burocrático de la tesis ==
== How to run OTB-Wrapper with Netbeans ==
 
-Djava.library.path='/usr/lib/otb-wrapping/lib'
 
== Teaching ==
 
=== Vision por Computador I  ===
 
: Estado del arte en visión por computador, Herramientas : [http://opencv.org/ OpneCV], [http://www.scilab.org Scilab], [http://sivp.sourceforge.net/ SIPV], [http://www.openmp.org OpenMP], [http://www.cplusplus.com/ C++] , [http://qt-project.org/ Qt]
 
: Colorimetría : Descomposición del color en intensidad y cromacidad.
:    Practicas : Hallar la intensidad de una imagen, la cromacidad, la saturación.
 
: Gradientes: Definición e implementación.
 
: Electromagnetismo, Luz, e imágenes hiperspectrales
 
: [[media:Vision1.zip | Código fuente de las prácticas]] para Scilab y SIVP toolbox
 
=== Percepcion Artificial ===
 
: Definicion de imágenes hiperespectrales.
 
: Herramientas tecnológicas: [http://www.scilab.org Scilab], [http://sivp.sourceforge.net/ SIPV], [http://www.openmp.org OpenMP], [http://www.cplusplus.com/ C++] , [http://qt-project.org/ Qt], [http://orfeo-toolbox.org/otb/ Orfeo Tool Box (OTB)], [http://orfeo-toolbox.org/otb/monteverdi.html Monteverdi]


;Directores: Manuel Graña, Alicia d'Anjou
: Videos:
: [http://www.youtube.com/watch?v=m5_encne1tw Espectro electromagnético]
: [http://www.youtube.com/watch?v=9UOTKwF10gY TNO introduction]
: [http://www.youtube.com/watch?v=8xiwllidjtE Explosives detection]
: [http://www.youtube.com/watch?v=k71uK2yTfY8 Photonics]


== Otros ==
: Ejemplos segmentando con Monteverdi


=== Presentaciones ===
: [[media:Scene-5.3.dat.zip| Ejemplo de Imagen Hiperspectral]]. Está para Scilab, se carga con el comando "load Scene-5.3.dat". La imagen queda guardada en la variable HI.


[[Observaciones filosóficas]]
: Sementación Hyperspectral (KES) [[media:PresentacionKes.pdf‎ | Slides]]
: Clasificación supervisada (ELM) [[media:Presentacion-Soja-ELM.pdf‎ | Slides]]

Revisión actual - 18:40 15 dic 2012

Arabesco22b.png Arabesco22.png Arabesco22b.pngArabesco22.png
TriangleParadox 1000.jpg
Facultad de Informática,
Paseo Manuel de Lardizabal, 1
20018, San Sebastian,
Guipuzcoa, Spain
Mailmore.png
7Rmonet.jpg

Publications

Current works Google Scholar Index

2013

  • Extreme Learning Machines for Soybean classification in remote sensing Hyperspectral Images
Ramón Moreno, Francesco Corona, et al. Neurocomputing (Submitted)
  • A Machine Learning based Intelligent Vision System for Autonomous Object Detection and Recognition
D. M. Ramik, R. Moreno, K. Madani, et al. Journal of Electronic Imaging (submitted)
  • Segmentation of Hyperspectral Images by Chromatic t-Watershed
Ramón Moreno, Manuel Graña. KES Invited Sessions (submitted)
  • A robust color Watershed transformation and image segmentation defined on RGB Spherical Coordinates
Ramon Moreno, Manuel Graña and Kurosh Madani, Robotic Vision: Technologies for Machine Learning and Vision Applications, pp112-128
doi:10.4018/978-1-4666-2672-0.ch007 ISBN: 978-1-4666-2734-5
  • Visual Detection in Linked Multi-Component Robotic Systems
J.M. Lopez-Guede, B. Fernandez-Gauna, R. Moreno and M. Graña, Robotic Vision: Technologies for Machine Learning and Vision Applications. pp78-97
doi:10.4018/978-1-4666-2672-0.ch007 ISBN: 978-1-4666-2734-5

2012

  • Spherical Coordinates Framed RGB Color Space Dichromatic Reflection Model Based Image Segmentation: Application to Wildland Fires’ Outlines Extraction
V. Amarger, D. M. Ramík, C. Sabourin, K. Madani, R. Moreno, L. Rossi, M.Graña. Proceedings of International conference on Image Processing Theory, Tools and Applications (IEEE-IPTA 2012), ISBN: 978-1-4673-2582-0, Istanbul, Turkey, October 15 - 18, pp. 19-24, 2012.
  • Extreme Learning Machine for Dimensionality Reduction and Classification on Hyperspectral Images
Ramón Moreno, Manuel Graña and Alicia D’Anjou. Proceedings of the 7th International Conference on Neural Networks and Artificial Intelligence, ICNNAI'2012, 2012, 231-234
  • Extreme Learning Machines for Soybean classification in remote sensing Hyperspectral Images
Ramón Moreno, Francesco Corona, et al. The International Symposium on Extreme Learning Machines
  • Hyperspectral Image Segmentation by t-Watershed and Hyperspherical Coordinates
Ramón Moreno and Alicia d'Anjou. Frontiers in Artificial Intelligence and Applications Volume 243, 2012 pp.2114 -2121
Advances in Knowledge-Based and Intelligent Information and Engineering Systems Edited by Manuel Graña et al.
ISBN 978-1-61499-104-5 DOI: 10.3233/978-1-61499-105-2-2114
  • Image Segmentation on the Spherical Coordinate Representation of the RGB Color Space
R. Moreno, D. M. Ramik, M. Graña, and K. Madani, IET Image processing pp1-9 doi: 10.1049/iet-ipr.2011.0634
  • About Gradient operators on Hyperspectral Images
Ramón Moreno, Manuel Graña. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, pages 433-437
DOI: 10.5220/0003863904330437 Slides
  • A Hybrid Gradient for n-Dimensional Images through Hyperspherical Coordinates
Ramón Moreno, Manuel Graña. HAIS 2012 , Hybrid Artificial Intelligent Systems Lecture Notes in Computer Science, 2012, Volume 7209/2012, 404-415,
DOI: 10.1007/978-3-642-28931-6_39 Slides

2011

  • Fuzzy Watershed for Image Segmentation
Ramón Moreno, Manuel Graña, X Brazilian Congress on Computational Intelligence CBIC'2011 Slides
  • Wildland Fires’ Outlines Extraction a Spherical Coordinates Framed RGB Color Space Dichromatic Reflection Model Based Image Segmentation Approach
Véronique Amarger, Dominik M. Ramík, Ramon Moreno, Lucile Rossi, Kurosh Madani, Manuel Graña. Proceedings of the 11th International Conference on Pattern Recognition and Information Processing (PRIP'11) pp:451-454
  • Image Segmentation by Spherical Coordinates
Ramón Moreno, Manuel Graña,Dominik M. Ramík,Kurosh Madani . Proceedings of the 11th International Conference on Pattern Recognition and Information Processing (PRIP'11) pp:112-115 Slides
  • A geometrical method of diffuse and specular image components separation
Ramón Moreno, Manuel Graña, Alicia d'Anjou. IWANN 2011, Part II, LNCS 6692, pp. 83–89, 2011 Slides
  • A Hybrid Color Distance for Image Segmentation
Ramón Moreno, Manuel Graña, Alicia d'Anjou. HAIS 2011, Part II, LNAI 6679, pp. 447–454, 2011 Slides
  • Illumination Source Chromaticity Estimation Based on Spherical Coordinates in RGB
Ramón Moreno, Manuel Graña, Alicia d'Anjou .Electron. Lett. -- 6 January 2011 -- Volume 47, Issue 1, p.28–30 doi:10.1049/el.2010.2735

2010

  • Linked Multi-Component Mobile Robots; modeling, simulation and control
Z. Echegoyen, I. Villaverde, R. Moreno, M. Graña, A. d'Anjou. Robotics and Autonomous Systems, Volume 58, Issue 12, 31 December 2010, Pages 1292-1305 Intelligent Robotics and Neuroscience link
  • An RGB Color Gradient following Color Constancy Preservation
Ramón Moreno, Manuel Graña, Ekaitz Zulueta. Electronic Letters, vol. 46, pp. 908–910, June 2010. link
  • Hybrid Color Space Transformation to Visualize Color Constancy
Ramón Moreno, J.M. López-Guede, Alicia d'Anjou. LNCS 6077, Hybrid Artificial Intelligence Systems,pp.241 - 247 Vol. 2 ISBN 978-3-642-13802-7 DOI: 10.1007/978-3-642-13803-4_30
Ramón Moreno, Manuel Graña, Alicia d'Anjou. FUZZ-IEEE 2010, IEEE catalog Number: CFP10FUZ-DVD pp.710-714 ISBN 978-1-4244-6920-8
  • A color transformation for robust detection of color landmarks in robotic contexts
Ramón Moreno, Manuel Graña, Alicia d'Anjou. In Y. Demazeau et al. (Ed.), Trends in Practical Applications of Agents and Multiagent Systems, Advances in Soft Computing, volume 71/2010, SMC DOI PAAMS 2010
  • Experiments on Robotic Multi-Agent System for Hose Deployment and Transportation
Ivan Villaverde, Zelmar Echegoyen, Ramón Moreno and Manuel Graña,J.M López Guede. In Y. Demazeau et al. (Ed.), Trends in Practical Applications of Agents and Multiagent Systems, Advances in Soft Computing, volume 71/2010, 573-580, Springer, 2010. DOI PAAMS 2010

2009

  • Estimación de la cromacidad de la luz
Ramón Moreno. III jornadas de Inteligencia Computacional. Servicio Editorial de la UPV/EHU, 2009 ISBN: 978-84-9860-320-0
  • Control visual para multi-robots, Implementación de un aprueba de concepto de un SRMC Enlazado
Ivan Villaverde, Zelmar Echegoyes, Ramón Moreno. III jornadas de Inteligencia Computacional. Servicio Editorial de la UPV/EHU, 2009 ISBN: 978-84-9860-320-0
Ramón Moreno, Manuel Graña, Alicia d’Anjou, Carmen Hernandez. J.D. Velásquez et al. (Eds.): KES 2009, Part II, LNAI 5712, pp. 846–852, 2009. DOI © Springer-Verlag Berlin Heidelberg 2009 ISBN:978-3-642-040594-3

2008

Ramón Moreno. Actas de las II jornadas de Inteligencia Computacional ISBN 978-84-296-2316-1
  • Evolutive Parametric Approach for Specular Correction in the Dichromatic Reflection Model (Download slides)
Ramón Moreno, Alicia D'Anjou, Manuel Graña. :E. Corchado, A. Abraham, and W. Pedrycz (Eds.): HAIS 2008, LNAI 5271, pp. 665–672, 2008.DOI © Springer-Verlag Berlin Heidelberg 2008 ISBN 978-3-540-87655-7

2007

  • Visión por computador y clasificación aplicadas a la micología (Download slides)
Ramón Moreno. Actas de las I jornadas de Inteligencia Computacional,pp. 208-224 ISBN 978-84-9860-019-3 (2007)
Ramon Moreno, Manuel Grana Romay, Miguel Angel Veganzones. IDAACS'2007, Anatoly Sachenko, Peter J. A. Reusch, Richard Duro, Wieslaw Winiecki (eds), IEEE Press, pp. 408-412 ISBN 1-4244-1348-6
  • Inteligencia ambiental, sistemas ubícuos y visión por computador en telefonía móvil. Estado del arte (Download slides)
Ramón Moreno. Actas de las I jornadas de Inteligencia Computacional,pp.417-431 ISBN 978-84-9860-019-3 (2007)
  • Convex coordinates from lattice independent sets for visual pattern recognition
Manuel Graña, Ivan Villaverde, Ramon Moreno, Francisco X. Albizuri Computational Intelligence Based on Lattice Theory, G. Ritter, V. Kaburlasos (eds), Springer Verlag, pp: 99-126 DOI ISBN 978-3-540-72686-9

2006

  • Convex Coordinates Based on Lattice Independent Sets as Pattern Features
Manuel Graña, Ramón Moreno, F.X. Albizuri. International Conference on Fuzzy Systems, WCCI'06. Vancouver, BC, Canada. 2006 ISBN 0-7803-9489-5/06

Current Research

Unsupervised image segmentation of hyperpstectral images

links

Interships

Lavoratoire Images, Signaux et Systemes Intelligents LISSI-Sénart, Université Paris-Est Créteil. September-December 2010

Instituto Nacional de Pesquisas Espaciais (INPE). Sao Jose dos Campos, Sao Paulo, Brasil. September-November 2011 (Slides of the last day)

Conference Reviews and Program Committee

IWANN 2007, 2009
HAIS 2008, 2010, 2011, 2012
KES 2010, 2011, 2012
JIC : 2007, 2008, 2009

Conference Organizer

IWANN 2007
HAIS 2010
JIC 2007 2008

Journal Reviewer on

IET Computer Vision

Links

Tools

The open source platform for numerical computation SCILAB

Scilab Image Processing SIP

Scale Invariant Features Transform SIFT

Developing SCILab Libraries

Introduction To Scilab User's

Scilab Google Group

Howto create a Scilab toolbox

OpenOffice.org

Lyx

Lyx GroupMap

JabRef Reference Manager

Firefox

Scilab Simulated Annealing

Fiji

GSL Mathematical library c++

Magick++ C++ interface for Graphics Magick

Matlab toolbox for dimensionality reduction

gdal library

gdal-java


Information sources

Science Direct

Journal of Location Based Services

IEEE Xplore

SpringerLink

ISI Web of Knowledge

CiteSeerX Alpha

Optics InfoBase

DBLP

Library.nu

Library Generis

Java tools

JOGL

Java Sun

Others

Dictionary.com Translator

Portal del empleado

La mejor distribución Linux

[ http://alweb.ehu.es/ccwintco/jic2008/ web upload papers]

Algebraic Surfaces

Mathematical Imagery

Computer Image Analysis, Computer Vision Conferences, Current and Future

World Computing Sciencies

DataSets

The Berkeley Segmentation Dataset and Benchmark

Foster Hyperspectral Images

FOI HyperSpectral Images

Spectir Hyperspectral Images

Bristol Hyperspecrtal Images

SourceForge repository

SourceForge Hyperspectral repository

Imminent Conferences

HAIS 2012
ICPRAM 2012


Magazines of interest

Pattern Recognition

International Journal of Computer Vision

Electronic Letters in Computer Vision and Image Analysis

Journal of Location Based Services

SIGGRAPH

IET IET Author page access

IET Image Processing

Apendix of some publications

The images for our experiments are here Images

Sources of the Spherical interpretation of the RGB color space and its applications on Robotic Vision: Technologies for Machine Learning and Vision Applications

How to run OTB-Wrapper with Netbeans

-Djava.library.path='/usr/lib/otb-wrapping/lib'

Teaching

Vision por Computador I

Estado del arte en visión por computador, Herramientas : OpneCV, Scilab, SIPV, OpenMP, C++ , Qt
Colorimetría : Descomposición del color en intensidad y cromacidad.
Practicas : Hallar la intensidad de una imagen, la cromacidad, la saturación.
Gradientes: Definición e implementación.
Electromagnetismo, Luz, e imágenes hiperspectrales
Código fuente de las prácticas para Scilab y SIVP toolbox

Percepcion Artificial

Definicion de imágenes hiperespectrales.
Herramientas tecnológicas: Scilab, SIPV, OpenMP, C++ , Qt, Orfeo Tool Box (OTB), Monteverdi
Videos:
Espectro electromagnético
TNO introduction
Explosives detection
Photonics
Ejemplos segmentando con Monteverdi

Presentaciones

Ejemplo de Imagen Hiperspectral. Está para Scilab, se carga con el comando "load Scene-5.3.dat". La imagen queda guardada en la variable HI.
Sementación Hyperspectral (KES) Slides
Clasificación supervisada (ELM) Slides
Obtenido de «http://ehu.eus/ccwintco/index.php?title=Ramón_Moreno_Jiménez&oldid=14221»