Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Fernando Emmanuel Frati"'
Publikováno v:
Journal of Computer Science and Technology, Vol 15, Iss 02, Pp 61-67 (2015)
In a typical intensive care unit of a healthcare facilities, many sensors are connected to patients to measure high frequency physiological data. Currently, measurements are registered from time to time, possibly every hour. With this data lost, we a
Externí odkaz:
https://doaj.org/article/24173f1210624413989767ead70306ee
Autor:
Fernando Emmanuel Frati
Publikováno v:
Journal of Computer Science and Technology, Vol 15, Iss 02, Pp 154-156 (2015)
The main objective of this paper is to propose a software implementation model for concurrency error detection tools that allows reducing process overhead without decreasing its detection capacity. The general model proposed uses software dynamic ins
Externí odkaz:
https://doaj.org/article/9ed11776ae384b70945bcd1c71c33826
Autor:
Ruber Hernández-García, Ricardo J. Barrientos, Cristofher Rojas, Wladimir E. Soto-Silva, Marco Mora, Paulo Gonzalez, Fernando Emmanuel Frati
Publikováno v:
Symmetry, Vol 11, Iss 9, p 1167 (2019)
Nowadays, individual identification is a problem in many private companies, but also in governmental and public order entities. Currently, there are multiple biometric methods, each with different advantages. Finger vein recognition is a modern biome
Externí odkaz:
https://doaj.org/article/516a07dd7c114f699dcdf85a2fecfb44
Autor:
Diego Montezanti, Fernando Emmanuel Frati, Dolores Rexachs, Emilio Luque, Marcelo Naiouf, Armando De Giusti
Publikováno v:
CLEI Electronic Journal, Vol 15, Iss 3 (2012)
The challenge of improving the performance of current processors is achieved by increasing the integration scale. This carries a growing vulnerability to transient faults, which increase their impact on multicore clusters running large scientific par
Externí odkaz:
https://doaj.org/article/3ac663ed0cf44a5888a15087d7fc3fd5
Autor:
Laura Cristina De Giusti, Fernando Emmanuel Frati, Fabiana Yael Leibovich, Mariano Sanchez, María Cristina Madoz
Publikováno v:
Revista Iberoamericana de Tecnología en Educación y Educación en Tecnología, Iss 7 (2012)
Se presenta un entorno visual interactivo para la enseñanza de conceptos de concurrencia y paralelismo en un curso inicial de algoritmos. El entorno LMRE (Lidi MultiRobot Environment) es una evolución del Visual Da Vinci utilizado extensamente en l
Externí odkaz:
https://doaj.org/article/5b8e00e623a94ab7a1c3d428262cc7a9
Autor:
Sebastian Argentina, Axel Quinteros, Ruber Hernandez Garcia, Fernando Emmanuel Frati, Ricardo J. Barrientos
Publikováno v:
2022 41st International Conference of the Chilean Computer Science Society (SCCC).
Publikováno v:
SCCC
Massive individuals identification is a challenging problem in modern society. Particularly, finger-vein recognition is an emerging biometric technique with several advantages, especially in terms of security against forgery. In this paper, we propos
Publikováno v:
Journal of Physics: Conference Series. 1702:012012
In massive biometric identification systems, response times mainly depends on the database searching algorithms. Thus, in large databases, an increment in the simultaneous queries traffic becomes a critical factor. This paper proposes an algorithm ba
Autor:
Ricardo J. Barrientos, Paulo Gonzalez, Ruber Hernández-García, Marco Mora, Wladimir E. Soto-Silva, Fernando Emmanuel Frati, Cristofher Rojas
Publikováno v:
Symmetry, Vol 11, Iss 9, p 1167 (2019)
Symmetry
Volume 11
Issue 9
Symmetry
Volume 11
Issue 9
Nowadays, individual identification is a problem in many private companies, but also in governmental and public order entities. Currently, there are multiple biometric methods, each with different advantages. Finger vein recognition is a modern biome
Publikováno v:
The Computer Journal. 57:675-692
This article presents AccessedBefore (AccB), an algorithm and its associated minimal hardware support to detect data races, and compares it with two widely known and used commercial tools: Helgrind, the data race detection tool included in the genera