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Environmental monitoring network along a mountain valley using embedded controllers
(Elsevier, 2017-08)
This paper presents the design and implementation of an atmospheric observing system to study downslope
winds in the Laja River Valley, southern-central Chile. Practical design issues are discussed based on
the first two ...
Efficient GPU thread mapping on embedded 2D fractals
(Elsevier B.V., 2020)
Use of an embedded system with wifi technology for domotic control of conventional environments
(2018)
The rise of emerging technologies and the emergence of open and free hardware and
software trends have allowed the emergence of new embedded system options such as the
Nodemcu card based on the esp8266 microcontroller, ...
Desing and development of an embedded system for spectrum analysis in the infrared regions NIR and MIR for glucose quantification
(Universidad Autónoma de Occidente, 2015-06)
La glucosa es una molécula importante del metabolismo humano; por esta razón debe ser regularmente monitoreada en casos especiales. En este trabajo exploramos algunos métodos no invasivos para obtener la concentración de ...
Sobre el concepto de recursión y sus usos.
(2015-06-30)
La noción de recursión se emplea en diferentes sentidos, adquiriendo
una variedad de significados. Así, en unos casos se usa para caracterizar
una regla esencial que constituye un modo de definición en un sistema.
Este ...
Transport of localized and extended excitations in chains embedded with randomly distributed linear and nonlinear n-mers
(AMER PHYSICAL SOC., 2016)
We examine the transport of extended and localized excitations in one-dimensional linear chains populated by linear and nonlinear symmetric identical n-mers (with n = 3, 4, 5, and 6), randomly distributed. First, we examine ...
System-level prognostics and health management: A graph convolutional network-based framework
(SAGE, 2020)
Sensing technologies have been used to gather massive amounts of data to improve system reliability analysis with the use of deep learning. Their use has been mainly focused on specific components or for the whole system, ...
Special issue on deep learning for on‑chip learning
(Springer, 2020)
EEWES: an energy-efficient wireless sensor network embed-ded system to be applied on industrial environments
(Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ingeniería, 2015-05-01)
Nowadays, the vast majority of information monitoring in industrial plants is still carried out by wired technologies, in which the installation and maintenance cost is high. However, in outdoor applications, such as those ...
Formal specification and design techniques for wireless sensor and actuator networks
(National Center for Biotechnology Information, 2011-01)
A current trend in the development and implementation of industrial applications
is to use wireless networks to communicate the system nodes, mainly to increase application flexibility, reliability and portability, as ...