Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Rocio A. Lizarraga-Morales"'
Publikováno v:
Machines, Vol 12, Iss 8, p 497 (2024)
The development of diagnostic systems for rotating machines such as induction motors (IMs) is a task of utmost importance for the industrial sector. Reliable diagnostic systems allow for the accurate detection of different faults. Different methods b
Externí odkaz:
https://doaj.org/article/bc15f011cb1c4bf1ad4c24e801863822
Publikováno v:
Energies, Vol 16, Iss 18, p 6583 (2023)
This research focuses on the optimization of the thermofusion process in the construction of biodigesters as it has a direct influence on their quality and durability. The study utilizes factorial experiments and statistical analysis, with particular
Externí odkaz:
https://doaj.org/article/b4d787c83ba7445581d4b269bc087b95
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 6137 (2023)
The detection of faults in induction motors has been one of the main challenges to the industry in recent years. An effective fault detection method is fundamental to ensure operational security and productivity. Different models for intelligent faul
Externí odkaz:
https://doaj.org/article/d0ba339e291248cc91c8def138357312
Autor:
Rocio A. Lizarraga-Morales, Fernando E. Correa-Tome, Raul E. Sanchez-Yanez, Jonathan Cepeda-Negrete
Publikováno v:
IEEE Access, Vol 7, Pp 18042-18049 (2019)
The quality assurance of fabrics is a fundamental issue in the textile manufacturing industry. Automatic and accurate detection of defects is one of the most important and challenging tasks in order to guarantee the quality of fabrics. In this paper,
Externí odkaz:
https://doaj.org/article/ab2f484edfdc4329a403f2dbc2b9c734
Autor:
Jonathan Cepeda-Negrete, Raul E. Sanchez-Yanez, Fernando E. Correa-Tome, Rocio A. Lizarraga-Morales
Publikováno v:
IEEE Access, Vol 6, Pp 14935-14945 (2018)
In this paper, we introduce an image enhancing approach for transforming dark images into lightened scenes, and we evaluate such method in different perceptual color spaces, in order to find the best-suited for this particular task. Specifically, we
Externí odkaz:
https://doaj.org/article/6bce24d631164e0ca4e9ad2362668cdc
Publikováno v:
Energies, Vol 14, Iss 21, p 7345 (2021)
Recently, biodigesters have attracted much attention as an efficient alternative for energy generation and organic waste treatment. The final performance of a biodigester depends heavily on the quality of its building process and the selection of its
Externí odkaz:
https://doaj.org/article/d7ac56c6b60a44efb7062bb1acaea41a
Autor:
Alberto Lopez-Alanis, Rocio A. Lizarraga-Morales, Raul E. Sanchez-Yanez, Diana E. Martinez-Rodriguez, Marco A. Contreras-Cruz
Publikováno v:
Applied Sciences, Vol 9, Iss 10, p 2015 (2019)
In this paper, we propose an approach for salient pixel detection using a rule-based system. In our proposal, rules are automatically learned by combining four saliency models. The learned rules are utilized for the detection of pixels of the salient
Externí odkaz:
https://doaj.org/article/643cbdba973740a3821854a28f80c7f4
Autor:
Misael Lopez-Ramirez, Eduardo Cabal-Yepez, Luis M. Ledesma-Carrillo, Homero Miranda-Vidales, Carlos Rodriguez-Donate, Rocio A. Lizarraga-Morales
Publikováno v:
Energies, Vol 11, Iss 4, p 769 (2018)
Power quality disturbances (PQD) in electric distribution systems can be produced by the utilization of non-linear loads or environmental circumstances, causing electrical equipment malfunction and reduction of its useful life. Detecting and classify
Externí odkaz:
https://doaj.org/article/265a855b26774382a250a0db62435c0f
Autor:
Ivan Nunez-Garcia, Rocio A. Lizarraga-Morales, Uriel H. Hernandez-Belmonte, Victor H. Jimenez-Arredondo, Alberto Lopez-Alanis
Publikováno v:
Computación y Sistemas. 26
Autor:
Victor Ayala-Ramirez, Raul E. Sanchez-Yanez, Felipe Trujillo-Romero, Rocio A. Lizarraga-Morales, Marco A. Contreras-Cruz, Alberto Lopez-Alanis
Publikováno v:
Applied Intelligence. 50:1745-1762
The visual saliency detection consists in determining the relevant visual information in a scene to segment it from the background. This paper proposes visual saliency detection in a rule-based approach using the image similarity cue to improve salie