Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Carlos H. Llanos"'
Publikováno v:
IEEE Access, Vol 9, Pp 61010-61023 (2021)
For the last four decades, the development of robotic hands has been the focus of several works. However, a small part of those approaches consider the exploitation of parallelism of FPGA-based (Field Programmable Gate Arrays) systems or discuss how
Externí odkaz:
https://doaj.org/article/1b7f5e6b69e94653bb5b41d9180fbfb4
Autor:
Jones Y. Mori, Janier Arias-Garcia, Camilo Sánchez-Ferreira, Daniel M. Muñoz, Carlos H. Llanos, J. M. S. T. Motta
Publikováno v:
International Journal of Reconfigurable Computing, Vol 2012 (2012)
This work presents the development of an integrated hardware/software sensor system for moving object detection and distance calculation, based on background subtraction algorithm. The sensor comprises a catadioptric system composed by a camera and a
Externí odkaz:
https://doaj.org/article/2edc39c6d92541dd8033735b82922f7c
Autor:
Diana Göhringer, Jonathan Obie, André L. S. Braga, Michael Hübner, Carlos H. Llanos, Jürgen Becker
Publikováno v:
International Journal of Reconfigurable Computing, Vol 2011 (2011)
The design space of FPGA-based processor systems is huge, because many parameters can be modified at design- and runtime to achieve an efficient system solution in terms of performance, power and energy consumption. Such parameters are, for example,
Externí odkaz:
https://doaj.org/article/6c62a62219694f40b3f084a1dba075b6
Publikováno v:
International Journal of Reconfigurable Computing, Vol 2010 (2010)
Hardware acceleration in high performance computer systems has a particular interest for many engineering and scientific applications in which a large number of arithmetic operations and transcendental functions must be computed. In this paper a hard
Externí odkaz:
https://doaj.org/article/1c80bd7397324154822c3cfa53ec3281
Autor:
Marly Monteiro de Carvalho, Giselle Amaral Leite, Carlos H. Llanos, Patricia Melo Tavares, Sanderson César Macêdo Barbalho
Publikováno v:
IEEE Transactions on Engineering Management. 69:1823-1836
For complex new product development (NPD) projects, traditional planning techniques have failed in realistic planning. Consequently, project performance has poor results, despite the dissemination of project management knowledge. This research aims t
Autor:
George Teodoro, Oscar Anacona-Mosquera, Ricardo P. Jacobi, Renato Coral Sampaio, Carlos H. Llanos, Felipe R. G. Cabral
Publikováno v:
Journal of Real-Time Image Processing. 18:779-791
This work presents a hardware/software co-design implementation of the morphological reconstruction targeting a System-on-Chip (SoC) FPGA-based embedded system. Our approach processes large images with fast algorithms. This was achieved by the propos
Autor:
Carlos H. Llanos, Renato Coral Sampaio, Felipe R. G. Cabral, Ricardo P. Jacobi, Oscar Anacona-Mosquera, George Teodoro, Carlos Eduardo Magalhães dos Santos
Publikováno v:
IEEE Design & Test. 37:30-39
Editor’s note: The optimized hybrid (FH) morphological reconstruction algorithm used in image analysis with FPGA and ASIC implementation is discussed in this article. FPGA enables a fast prototyping and, today, even the introduction to the market d
Publikováno v:
Analog Integrated Circuits and Signal Processing. 106:195-204
Robotic hands tend to have a high number of sensors and actuators in a small space, whose supervising and control must be performed at the same time with precision and, in some cases, at high speed. Usually, a grid of Micro-Processors-Units or Micro-
Autor:
Renato Coral Sampaio, Carlos H. Llanos, Leandro dos Santos Coelho, Rafael Koji Vatanabe Brunello, Helon Vicente Hultmann Ayala
Publikováno v:
IFAC-PapersOnLine. 53:7813-7818
In this contribution we investigate the application of radial basis functions artificial neural networks embedded in hardware for real-time moving-horizon state estimation. The solution of the optimal moving-horizon state estimation problem may be fa
Autor:
Renato Coral Sampaio, Carlos H. Llanos, Eduardo de Mendonça Mesquita, Helon Vicente Hultmann Ayala
Publikováno v:
IEEE Access, Vol 8, Pp 118841-118852 (2020)
Nonlinear Model-based Predictive Control (NMPC) is a relevant research area having applications in the industrial sector. Traditionally, in this technique, gradient descent algorithms have been used to solve the related optimization problem. More rec