Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Silva DA"'
Publikováno v:
IFAC-PapersOnLine. 53:17487-17492
In this paper, we develop a model for analyzing the motivation of individuals through persuasive ubiquitous technologies called the Ubiquitous Model for Persuasive Behavior Change Systems (UMPSBC). In the proposal of UMPSBC, we changed the Fogg Behav
Autor:
Bruna de Vargas Guterres, Silvia Silva da Costa Botelho, Amanda da S. Guerreiro, Juliana Z. Sandrini
Publikováno v:
IFAC-PapersOnLine. 53:16727-16732
Since the availability of petroleum and derivatives has great impact over the world economy, the oil industry lies in both the formation and the maintenance of modern industrial economy. Petroleum exploration, transport, distribution and storage acti
Autor:
Caroline W. Dos Santos, Nelson Duarte Filho, Silvia Silva da Costa Botelho, Danubia Espindola
Publikováno v:
IFAC-PapersOnLine. 53:10168-10173
Safety, efficiency and effectiveness are important characteristics for human-robot interaction in a factory. So, workers and operators are exposed to challenges of interacting with these systems, in particular with welding robots. Considering the com
Autor:
Guilherme Brunei Zaffari, Pedro Ribeiro, Silvia Silva da Costa Botelho, Matheus M. dos Santos, Paulo L. J. Drews-Jr
Publikováno v:
Journal of Field Robotics. 36:355-369
Autor:
Luciane Soares, Danubia Espindola, Debora Debiaze, Ricardo Nagel, Silvia Silva da Costa Botelho, Patrick Baldez
Publikováno v:
LARS/SBR/WRE
Since approximately 1960, remote operating vehicles (ROVs) have been in use, but they have performed a limited number of tasks. Over the years and with technological advances, the ROVs have been gaining new tools and possibilities that have provided
Autor:
Jovania Dias, Silvia Silva da Costa Botelho, Marta Duarte, Victor Coch, Paulo Drews, Nelson Duarte
Publikováno v:
SIBGRAPI
Industry pipeline fault, like blockage can create major problems for engineers and financial loss for the company. The blockage detection is necessary for smooth functioning of an industry and safety of the environment. This work presents a model for
Autor:
Paulo L. J. Drews-Jr, Lucas Ricardo Vieira Messias, Silvia Silva da Costa Botelho, Cristiano Rafael Steffens
Publikováno v:
Intelligent Systems ISBN: 9783030613761
BRACIS
BRACIS
Image classification is a well-established problem in computer vision. Most state-of-the-art models rely on Convolutional Neural Networks to achieve near-human performance in that task. However, CNNs have shown to be susceptible to image manipulation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2afd1939ff3e18d2d4966249141813d6
https://doi.org/10.1007/978-3-030-61377-8_15
https://doi.org/10.1007/978-3-030-61377-8_15
Publikováno v:
ICAR
Autonomous underwater navigation is a challenging problem because of the limitations imposed by aquatic environments. Among them, the use of Global Positioning System (GPS) is severely limited. Thus, we propose the use of sensor fusion to improve und
Autor:
Mateus Schot, Danubia Espindola, Patrick Baldez, Silvia Silva da Costa Botelho, Luciane Baldassari, Bruna de Vargas Guterres
Publikováno v:
2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE).
Teleoperation of robotic systems requires efficient and effective human-robot interactions. The present work presents the development of a semiotic-based human-robot interaction interface through the identification of the signs classes presented in t
Autor:
Lucas Ricardo Vieira Messias, Paulo Drews, Silvia Silva da Costa Botelho, Cristiano Rafael Steffens
Publikováno v:
2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE).
Convolutional Neural Networks stand the current state-of-the-art in image recognition, as well as many computer vision tasks. Nevertheless, these architectures have been shown to be vulnerable to image manipulations, which may undermine the reliabili