Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Manuel Nandayapa"'
Autor:
Manuel Meraz Méndez, Juan A. Ramírez Quintana, Elva Lilia Reynoso Jardón, Manuel Nandayapa, Osslan Osiris Vergara Villegas
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8144 (2024)
Form deviation generated during the milling profile process challenges the precision and functionality of industrial fixtures and product manufacturing across various sectors. Inspecting contour profile quality relies on commonly employed contact met
Externí odkaz:
https://doaj.org/article/23f537d49039476182da02649db1d58b
Autor:
Felipe Arias Del Campo, Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sanchez, Humberto De Jesus Ochoa Dominguez, Manuel Nandayapa
Publikováno v:
IEEE Access, Vol 9, Pp 21694-21707 (2021)
The color quality of an image shown on a liquid crystal display (LCD) can be measured with a spectroradiometer; however, this instrument is expensive, work under controlled illumination conditions with an artificial source of light, and measurements
Externí odkaz:
https://doaj.org/article/34ff8912e3a4433e92b65bf9e2d5df76
Autor:
Alma Guadalupe Rodriguez Ramirez, Manuel Nandayapa, Osslan Osiris Vergara Villegas, Francesco Garcia Luna
Publikováno v:
IEEE Access, Vol 8, Pp 78467-78481 (2020)
This paper presents the design of a haptic interface called the Haptic Lever, to show four force-related phenomena for haptic augmentation towards Smart Learning Environments. The Haptic Lever is a mechanism with a sensorless torque control developed
Externí odkaz:
https://doaj.org/article/be16631c13e94affb616d962b5226deb
Publikováno v:
IEEE Access, Vol 6, Pp 74190-74203 (2018)
This paper presents an experimental validation of the aerodynamic sectional modeling approach as a general methodology to model the aerodynamic effects on aerial vehicles. The introduced modeling scheme also takes into consideration important effects
Externí odkaz:
https://doaj.org/article/8ecd2b076deb4bdca8ca8bd7f1610c3c
Autor:
Guevara Neri Maria Cristina, Juan Humberto Sossa Azuela, Osslan Osiris Vergara Villegas, Manuel Nandayapa, Vianey Guadalupe Cruz Sánchez, Humberto de Jesús Ochoa Domínguez
Publikováno v:
IEEE Latin America Transactions. 19:844-852
Convolutional Neural Networks (CNNs) have proven to be an effective approach for solving image classification problems. The output, the accuracy and the computational efficiency of a CNN are determined mainly by the architecture, the convolutional fi
Autor:
María Cristina Guevara Neri, Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sánchez, Humberto de Jesús Ochoa Domínguez, Manuel Nandayapa, Juan Humberto Sossa Azuela
Publikováno v:
Information Processing & Management. 60:103088
Autor:
Osslan Osiris Vergara Villegas, Manuel Nandayapa, Juan Humberto Sossa Azuela, Edgar Gonzalo Cossio Franco, Gustavo Trinidad Rubin Linares
Publikováno v:
Computación y Sistemas. 25
Autor:
Osslan Osiris Vergara Villegas, Manuel Nandayapa, Juan Humberto Sossa Azuela, Edgar Gonzalo Cossio Franco, Gustavo Trinidad Rubin Linares
Publikováno v:
Computación y Sistemas. 25
Publikováno v:
IEEE Access, Vol 6, Pp 74190-74203 (2018)
This paper presents an experimental validation of the aerodynamic sectional modeling approach as a general methodology to model the aerodynamic effects on aerial vehicles. The introduced modeling scheme also takes into consideration important effects
Autor:
Osslan Osiris Vergara Villegas, Carlos Felipe Ramírez Espinoza, Vianey Guadalupe Cruz Sánchez, Jorge Luis García-Alcaraz, Manuel Nandayapa
Publikováno v:
Research in Computing Science. 132:33-40