Accurate color imaging in embedded computing for volcano hazard monitoring appliances

Authors

  • Yuriy Kotsarenko Investigador independiente
  • Volodymyr Grimalsky Instituto de Investigación en Ciencias Básicas y Aplicadas, Universidad Autónoma de Estado de Morelos (UAEM), Cuernavaca, México
  • Anatoliy Kotsarenko Facultad de Ingeniería, Universidad Autónoma del Carmen (UNACAR), Ciudad del Carmen, México
  • Svetlana Koshevaya Instituto de Investigación en Ciencias Básicas y Aplicadas, Universidad Autónoma de Estado de Morelos (UAEM), Cuernavaca, México

DOI:

https://doi.org/10.30973/progmat/2016.8.2/6

Keywords:

Embedded computing, hazard monitoring, color spaces, volcano popocatepetl, perceptual accuracy

Abstract

Embedded single-board computers with extremely low power consumption have become a cost-saving alternative for natural hazard monitoring appliances, where the data is collected in real-time and stored or relayed for processing, such as in case of volcano Popocatepetl. Color accuracy still remains a problem due to limited computational speed of embedded hardware as illustrated by experiments in this work, where classical perceptually accurate color spaces typically used in desktop computing appear to be unsuitable. However, recently introduced alternatives provide a promising balance between real-time performance and accuracy. Experimental results with performance benchmarks running on actual embedded hardware are described in this work, providing a strong foundation for the proposed alternatives.

Author Biographies

Yuriy Kotsarenko, Investigador independiente

Dr. Yuriy Kotsarenko previously worked as a Lead R&D FM Architect in Embarcadero Technologies and is currently involved in research and development of new commercialgrade equipment and scientific applications. His areas of research interests include Computer Graphics, Embedded Hardware and Software Engineering and Optics. Latest research efforts are focused on development of autonomous equipment with embedded microprocessors for meteorological research and hazard monitoring. This includes designing, manufacturing, assembling and debugging electrical and electronic circuits, and creating high-performance software that will be doing real-time processing.

Volodymyr Grimalsky, Instituto de Investigación en Ciencias Básicas y Aplicadas, Universidad Autónoma de Estado de Morelos (UAEM), Cuernavaca, México

Volodymyr Grimalsky was graduated from T. Shevchenko Kiev National University in 1982, Physical Faculty, Theoretical Physics Dept. In 1986 he obtained PhD degree in physics from the same University. In 1986- 1997 V. Grimalsky worked as scientific researcher at Radiophysical Faculty of Kiev National University. In 1997 he was a visiting researcher in Large Millimeter Telescope Project in Mexico, National Institute for Astrophysics, Optics, and Electronics (INAOE). In 2000-2006 V. Grimalsky worked in Mexico in INAOE as the titular researcher. Since 2006 till present he works in the Autonomous University of State Morelos (UAEM) in the Center for Investigations in Engineering and Applied Science (CIICAp). V. Grimalsky in the author of about 150 scientific papers in the field of nonlinear waves, millimeter and terahertz waves, waves in geophysics and plasmas.

Anatoliy Kotsarenko, Facultad de Ingeniería, Universidad Autónoma del Carmen (UNACAR), Ciudad del Carmen, México

Anatoliy Kotsarenko obtained his Ph.D. in 1999 in Theoretical Physics at Physical Faculty of Kiev National University. He worked as researcher in in the UAEM in the CIICAp, associate researcher in in the Univ. of Electro Communication, Tokyo, Japan, senior researcher in Center of Geosciences, UNAM in Queretaro, Mexico and currently works at the Faculty for Engineering, Autonomous University of Carmen (UNACAR). His main research interests are various aspects of LAIC (Lithoshere-Atmosphere-Ionosphere Coupling) phenomena: electromagnetic, geophysical, geochemical, meteorological, etc. anomalies that accompany large earthquakes and volcano eruptions.

Svetlana Koshevaya, Instituto de Investigación en Ciencias Básicas y Aplicadas, Universidad Autónoma de Estado de Morelos (UAEM), Cuernavaca, México

Svetlana Koshevaya received the Diploma of Master from Faculty of Radiophysics, Physical Electronics Dept., Kiev University, in 1964, the Ph. D. in Radiophysics from Kiev Institute of Radioproblems, Kiev University in 1969, and the diploma of Doctor of Science, from Kiev University, in 1986. Dra. Koshevaya worked as Engineer (1964-1968), in Kiev Institute of Radioproblems, Ukraine. She was Junior Senior Research Scientist Research Scientist (1968-1970) in Kiev Institute of Radioproblems and Senior Research Scientist in Institute “Orion” (1979- 1972), Kiev, Ukraine. In Faculty of Radiophysics of Kiev National University, she was Senior Research Scientist (1972-1974), Principal Lecturer (1974-1980), Associate Professor (1980-1987) and Full Professor (1987 -1995). She was Titular Researcher “C” (1995- 1998), in INAOE, Puebla, Mexico. Since 1998, she is Titular Researcher “C” at CIICAp, Autonomous University of State Morelos (UAEM), Cuernavaca, Mexico. Her research interests include remote sensing system for seind volcano activity, photonics and submillimeter wave integrated technique, nonlinear radiolocation, and solitonics in nonlinear physics. She has 7 books (in Russia), two chapters in books published in English, one book with student in Spanish, 15 certificate of patents, 196 Papers in international journals and 143 Articles in Proceedings of Symposiums . She is member of Mexican Academia of Science, member of National System of Researchers (SNI) and Member of WHO IS WHO.

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Published

2016-06-30

How to Cite

Kotsarenko, Y. ., Grimalsky, V., Kotsarenko, A., & Koshevaya, S. . (2016). Accurate color imaging in embedded computing for volcano hazard monitoring appliances. Programación Matemática Y Software, 8(2), 39–45. https://doi.org/10.30973/progmat/2016.8.2/6

Issue

Vol. 8 No. 2 (2016): Junio de 2016

Section

Articles

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Copyright (c) 2016 Yuriy Kotsarenko, Volodymyr Grimalsky, Anatoliy Kotsarenko, Svetlana Koshevaya

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