Zobrazeno 1 - 10
of 620
pro vyhledávání: '"Cunha, JR"'
This paper introduces CEopt (https://ceopt.org), a MATLAB tool leveraging the Cross-Entropy method for non-convex optimization. Due to the relative simplicity of the algorithm, it provides a kind of transparent ``gray-box'' optimization solver, with
Externí odkaz:
http://arxiv.org/abs/2409.00013
Publikováno v:
Engineering Computations, 2024, Vol. 41, Issue 2, pp. 438-467.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-09-2023-0561
Publikováno v:
Nonlinear Dynamics 2023
This paper analyzes the impact of parametric uncertainties on the dynamics of bistable energy harvesters, focusing on obtaining statistical information about how each parameter's variability affects the energy harvesting process. To model the paramet
Externí odkaz:
http://arxiv.org/abs/2302.12769
Autor:
Adriane S. Reis, Laurita dos Santos, Américo Cunha Jr, Thaís C.R.O. Konstantyner, Elbert E.N. Macau
Publikováno v:
Infectious Disease Modelling, Vol 9, Iss 2, Pp 314-328 (2024)
Since the COVID-19 pandemic was first reported in 2019, it has rapidly spread around the world. Many countries implemented several measures to try to control the virus spreading. The healthcare system and consequently the general quality of life popu
Externí odkaz:
https://doaj.org/article/95e2f7d5a1794dc7973eb50419f04f82
Autor:
Norenberg, João Pedro, Luo, Roberto, Lopes, Vinicius Goncaalves, Peterson, João Victor L. L., Cunha Jr, Americo
Publikováno v:
International Journal of Mechanical Sciences 2023
The paper investigates asymmetries effects over a nonlinear vibration energy harvester dynamics. The asymmetric system performance is compared with symmetric ones. Different asymmetry levels on restoring force and gravity action are investigated from
Externí odkaz:
http://arxiv.org/abs/2209.06906
Publikováno v:
Nonlinear Dynamics 2023
This paper proposes a data-driven approximate Bayesian computation framework for parameter estimation and uncertainty quantification of epidemic models, which incorporates two novelties: (i) the identification of the initial conditions by using plaus
Externí odkaz:
http://arxiv.org/abs/2207.12111
Autor:
Cunha Jr, Americo, Pereira, Marcelo, Avanço, Rafael, Tusset, Angelo Marcelo, Balthazar, José Manoel
Publikováno v:
Meccanica (2022)
The present work revisits the reduction of the nonlinear dynamics of an electromechanical system through a quasi-steady state hypothesis, discussing the fundamental aspects of this type of approach and clarifying some confusing points found in the li
Externí odkaz:
http://arxiv.org/abs/2205.15079
Autor:
Gianfelice, Paulo Roberto de Lima, Oyarzabal, Ricardo Sovek, Cunha Jr, Americo, Grzybowski, Jose Mario Vicensi, Batista, Fernando da Conceição, Macau, Elbert E. N.
Publikováno v:
Chaos 32, 031101 (2022)
The severe acute respiratory syndrome of coronavirus 2 spread globally very quickly, causing great concern at the international level due to the severity of the associated respiratory disease, the so-called COVID-19. Considering Rio de Janeiro city (
Externí odkaz:
http://arxiv.org/abs/2203.02011
Publikováno v:
Mec\'anica Computacional, vol. 32, pp. 763-773, 2013
This work presents the estimation of the parameters of an experimental setup, which is modeled as a system with three degrees of freedom, composed by a shaft, two rotors, and a DC motor, that emulates a drilling process. A Bayesian technique is used
Externí odkaz:
http://arxiv.org/abs/2107.13535
Autor:
Cunha Jr, Americo, Sampaio, Rubens
Publikováno v:
Mec\'anica Computacional, vol. 31, pp. 2673-2683, 2012
This work studies the dynamics of a one dimensional elastic bar with random elastic modulus and prescribed boundary conditions, say, fixed at one end, and attached to a lumped mass and two springs (one linear and another nonlinear) on the other extre
Externí odkaz:
http://arxiv.org/abs/2107.12574