Reconocimiento de patrones aplicando LDA y LR a señales optoelectrónicas de sistemas de barrido óptico

J. E. Miranda-Vega

Mexico

Universidad Autónoma de Baja California

Instituto de Ingeniería (Campus Mexicali)

Jesus Elias Miranda Vega was born in Sinaloa, Mexico, and received the B.E. degree in electrical and electronicengineering from Los Mochis Institute Technology in, Sinaloa, Mexico in 2007 and master's degree in electronicengineering from the Mexicali Institute of Technology, Mexicali, Mexico in 2014, he joined engineering institute at theAutonomous University Baja California (UABC) optoelectronics lab as a Phd student, Mexicali, Mexico in Aug 2016.His current research interest includes machine vision, data signal processing, the theory and optoelectronics devices,and their applications.

M. Rivas-López

Mexico

Universidad Autónoma de Baja California

Instituto de Ingeniería (Campus Mexicali)

He was born in 1960. He received the B.S. and M.S. degrees in Autonomous University of Baja California, México, in1985 and 1991, respectively and the PhD degree in Science, Applied Physics, in the same University, in 2010. Hehas written a book, 6 book chapters and 38 Journals and Proceedings Conference papers in optoelectronics andStructural Health Monitoring applications. Also, he has presented different works in several International Congressesof IEEE, ICROS, SICE, in America and Europe. Dr. Rivas was Dean of Engineering Institute of AutonomousUniversity Baja California (1997-2005), and Rector of Polytechnic University of Baja California (2006 -201). He ismember of National Researcher System.

W. Flores-Fuentes

Mexico

Universidad Autónoma de Baja California

Facultad de Ingeniería

She was born in Baja California, Mexico at January of 1978. Received the Bachelor's degree in Electronic Engineering from the Universidad Autónoma de Baja California in 2001, the Master of Engineering degree from Instituto Tecnológico de Mexicali in 2006, and the Ph. D. degree in Science, Applied Physics, from the Universidad Autónoma de Baja California in June 2014. Until now she is the author of 12 journal articles in Elsevier, IEEE, Emerald, Wiley and Springer, 4 book chapters in Intech, IGI Global and Springer, 21 proceedings articles in IEEE events, and 1 book editor. Recently, she has organized and participated as Chair of Special Session on “Machine Vision, Control and Navigation” at IEEE ISIE 2015-2017. She is a member of CONACYT National Research System.

O. Sergiyenko

Mexico

Universidad Autónoma de Baja California

Instituto de Ingeniería (Campus Mexicali)

Oleg Yu. Sergiyenko received his BS and MS degrees from Kharkiv National University ofAutomobiles and Highways, Kharkiv, Ukraine, in 1991 and 1993, respectively. He received hisPhD degree from Kharkiv National Polytechnic University in 1997. He has written 81 papers incontrol systems, robot navigation, 3D coordinate measurement, and SHM. He is an editor oftwo books, holds two patents in Ukraine and Mexico, and is a reviewer for various journals. Heparticipates as a reviewer and session chair in several IEEE conferences in different countriesand holds several “Best Presentation Awards.” From December 2004 to present, he is a fulltimeresearcher and head of Applied Physics Department in Engineering Institute of BajaCalifornia Autonomous University, Mexico.

L. Lindner

Mexico

Universidad Autónoma de Baja California


Instituto de Ingeniería (Campus Mexicali)

Lars Lindner, was born on July 20th 1981 in Dresden, Germany. He received his M.S. degree in mechatronics engineering from the TU Dresden University in January 2009. He was working as graduate assistant during his studies at the Fraunhofer Institute for Integrated Circuits EAS in Dresden and also made his master thesis there. After finishing his career, he moved to Mexico and started teaching engineering classes at different universities in Mexicali. He started his PhD at the Engineering Institute of Autonomous University of Baja California in Mexicali with the topic “Theoretical Method to Increase the Speed of Continuous Mapping in a three-dimensional Laser Scanning System using Servomotors Control”. For his PhD he developed a prototype of a Technical Vision System, which uses laser triangulation to determine 3D coordinates of any object under observation. He published in three international journals with impact factor, two book chapters, three papers on national and six papers on international conferences. Right now he is working as a technician assistant at the Engineering Institute of Autonomous University of Baja California for the department of applied physics.

J. C. Rodríguez-Quiñonez

Mexico

Universidad Autónoma de Baja California

Facultad de Ingeniería (Campus Mexicali)

Julio C. Rodríguez-Quiñonez received the Ph.D. degree from Baja California Autonomous University, México, in2013. He is currently Professor of Electronic Topics with the Engineering Faculty, Autonomous University of BajaCalifornia. His current research interests include automated metrology, stereo vision systems, control systems, robotnavigation and 3D laser scanners. He has written over 40 papers, 3 Book Chapters, has been guest editor of Journalof sensors, editor of one book, and has been reviewer for IEEE Sensors Journal, Optics and Lasers in Engineering,IEEE Transaction on Mechatronics and Neural Computing and Applications of Springer, he participated as a reviewerand Section Chair of IEEE conferences in 2014, 2015, 2016 and 2017. He is involved in the development of opticalscanning prototype in the Applied Physics Department and is currently research head in the development of a newstereo vision system prototype.

Enviado: 27-09-2019

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Aceptado: 19-03-2020

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Publicado: 30-09-2020

DOI: https://doi.org/10.4995/riai.2020.12385
Datos de financiación

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Palabras clave:

Análisis y tratamiento de señales, sensores e instrumentos virtuales, ruido, modulación, visión 3D y estéreo

Agencias de apoyo:

Esta investigación no contó con financiación

Resumen:

Este artículo da seguimiento a previas experimentaciones actualmente publicadas acerca de la minimización de ruido ópticoeléctrico en los sistemas de barrido óptico OSS (en inglés, Optical Scanning Systems), implementando técnicas computacionales para el reconocimiento de los patrones que se generan de cada fuente de referencia y que son utilizadas para indicar una coordenada que el OSS monitoreará. Técnicas como análisis linear discriminante LDA (en inglés, Linear Discriminant Analysis) y regresión lineal LR (en inglés, Linear Regression) fueron implementadas para discriminar las señales causadas por otras fuentes distintas a las de referencia. Para aumentar la eficiencia de estos modelos fueron implementados codificación predictiva lineal LPC (en inglés, Linear Predictive Coding) y Cuantiles como extractores de características. Los resultados fueron alentadores con tasas de reconocimiento mayores al 91.2 %, alcanzando en algunos casos una exactitud del 100 %.

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Citas:

Brooks, D. R., Mims III, F. M., 2001. Development of an inexpensive handheld led-based sun photometer for the globe program. Journal of Geophysical Research: Atmospheres 106 (D5), 4733–4740. https://doi.org/10.1029/2000JD900545

Cervantes, J., Taltempa, J., Lamont, F. G., Castilla, J. S. R., Rendon, A. Y., Jali- li, L. D., 2017. Análisis comparativo de las técnicas utilizadas en un sistema de reconocimiento de hojas de planta. Revista Iberoamericana de Automática e Informática industrial 14 (1), 104–114. https://doi.org/10.1016/j.riai.2016.09.005

Cheng, P., John, W., Zheng, W., 2002. Large structure health dynamic monito- ring using gps technology. In: FIG XXII International Congress, Washing- ton, DC USA. pp. 1–10.

Dave, N., 2013. Feature extraction methods lpc, plp and mfcc in speech recog- nition. International journal for advance research in engineering and techno- logy 1 (6), 1–4.

Di Sante, R., 2015. Fibre optic sensors for structural health monitoring of aircraft composite structures: Recent advances and applications. Sensors 15 (8), 18666–18713. https://www.mdpi.com/1424-8220/15/8/18666 , https://doi.org/10.3390/s150818666

Doebling, S., Farrar, C., Prime, M., Shevitz, D., 5 1996. Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review. Report. https://doi.org/10.2172/249299

Feng, D., Feng, M. Q., 2017. Experimental validation of cost-effective vision- based structural health monitoring. Mechanical Systems and Signal Processing 88, 199–211. https://doi.org/10.1016/j.ymssp.2016.11.021

Flores-Fuentes, W., López, M., Sergiyenko, O., González-Navarro, F. F., Rivera-Castillo, J., Hernandez-Balbuena, D., Rodríguez-Quiñonez, J., 2014. Combined application of power spectrum centroid and support vector ma- chines for measurement improvement in optical scanning systems. Signal Processing 98, 37–51. https://doi.org/10.1016/j.sigpro.2013.11.008

Flores-Fuentes, W., Miranda-Vega, J. E., Rivas-López, M., Sergiyenko, O., Rodríguez-Quiñonez, J. C., Lindner, L., 2018. Comparison between different types of sensors used in the real operational environment based on optical scanning system. Sensors 18 (6). https://doi.org/10.3390/s18061684

Jayalakshmi, T., Santhakumaran, A., 2011. Statistical normalization and back propagation for classification. International Journal of Computer Theory and Engineering 3 (1), 1793–8201. https://doi.org/10.7763/IJCTE.2011.V3.288

Jo, H., Sim, S.-H., Tatkowski, A., Spencer Jr, B., Nelson, M. E., 2013. Feasibility of displacement monitoring using low-cost gps receivers. Structural Control and Health Monitoring 20 (9), 1240–1254. https://doi.org/10.1002/stc.1532

Jung, H. K., Park, G., 2018. Integrating passive-and active-sensing techniques using an l-shaped sensor array for impact and damage localization. Journal of Intelligent Material Systems and Structures 29 (17), 3436–3443. https://doi.org/10.1177/1045389X17733059

Lindner, L., Sergiyenko, O., Rodríguez-Quiñonez, J. C., Rivas-Lopez, M., Hernandez-Balbuena, D., Flores-Fuentes, W., Murrieta-Rico, F. N., Tyrsa, V., 2016. Mobile robot vision system using continuous laser scanning for industrial application. Industrial Robot: An International Journal. https://doi.org/10.1108/IR-01-2016-0048

Mims, F. M., Dec 2000. Solar radiometer with light-emitting diodes as spectrally-selective detectors. Appl. Opt. 39 (34), 6517–6518. http://ao.osa.org/abstract.cfm?URI=ao-39-34-6517, https://doi.org/10.1364/AO.39.006517

Miranda-Vega, J. E., Rivas-Lopez, M., Flores-Fuentes, W., Sergiyenko, O., Lindner, L., Rodríguez-Quiñonez, J. C., 2019. Implementación digital de filtros fir para la minimización del ruido óptico y optoelectrónico de un sistema de barrido óptico. Revista Iberoamericana de Automática e Informática industrial 16, 344–357. https://doi.org/10.4995/riai.2019.10210

Rivera-Castillo, J., Flores-Fuentes, W., Rivas-Lopez, M., Sergiyenko, O., Gonzalez-Navarro, F. F., Rodríguez-Quiñonez, J. C., Hernandez-Balbuena, D., Lindner, L., Básaca-Preciado, L. C., 2017. Experimental image and range scanner datasets fusion in shm for displacement detection. Structural Control and Health Monitoring 24 (10), e1967. https://doi.org/10.1002/stc.1967

Sergiyenko, O., Hernandez, W., Tyrsa, V., Cruz, L. F. D., Starostenko, O., Peña-Cabrera, M., 2009. Remote sensor for spatial measurements by using optical scanning. Sensors 9 (7), 5477–5492. https://doi.org/10.3390/s90705477

Van der Auweraer, H., Peeters, B., 2003. Sensors and systems for structural health monitoring. Journal of Structural Control 10(2), 117–125. https://doi.org/10.1002/stc.196710.1002/stc.21

X.Ba, Q.Pan, B.Ju, Z.Feng, 2017. Ultrafast displacement actuation of piezo- electric stacks with time-sequence. IEEE Transactions on Industrial Electronics 64, 2955–2961. https://doi.org/10.1002/stc.196710.1109/TIE.2016.2631119

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