Academic literature on the topic 'Repulsores'
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Journal articles on the topic "Repulsores"
Gibbons, G., and H. Kodama. "Repulsons in the Myers-Perry Family." Progress of Theoretical Physics 121, no. 6 (June 1, 2009): 1361–79. http://dx.doi.org/10.1143/ptp.121.1361.
Full textLobo, Carlos, Ralfo Matos, and José Marcos P. da Cunha. "Mineiros retornados e a corrente de migrantes paulistas." Revista da Universidade Federal de Minas Gerais 25, no. 1 e 2 (December 31, 2018): 178–97. http://dx.doi.org/10.35699/2316-770x.2018.19533.
Full textSilva, G. T., J. H. Lopes, and F. G. Mitri. "Off-axial acoustic radiation force of repulsor and tractor bessel beams on a sphere." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 60, no. 6 (June 2013): 1207–12. http://dx.doi.org/10.1109/tuffc.2013.2683.
Full textSantos, Antonio Marques dos, and Erikson Alves de Sousa. "Tratamento experimental do protótipo de um motor de corrente contínua." Research, Society and Development 9, no. 4 (March 20, 2020): e91942848. http://dx.doi.org/10.33448/rsd-v9i4.2848.
Full textMiranda, Francisco Otávio, Leonardo Deane de Abreu Sá, Celso Von Radow, Fernando M. Ramos, and Antônio O. Manzi. "Picos na velocidade do vento e sua relação com aumentos em fluxos de escalares na atmosfera tropical noturna: Estudo de caso." Ciência e Natura 42 (August 28, 2020): e12. http://dx.doi.org/10.5902/2179460x45354.
Full textOu, Chang-Jin, Bao-Yi Ren, Jie-Wei Li, Dong-Qing Lin, Chao Zhong, Ling-Hai Xie, Jian-Feng Zhao, Bao-Xiu Mi, Hong-Tao Cao, and Wei Huang. "Excimer-based white electroluminescence from supramolecular bulk effects of dumbbell-shaped molecules via attractor-repulsor molecular design." Organic Electronics 43 (April 2017): 87–95. http://dx.doi.org/10.1016/j.orgel.2016.12.029.
Full textZhang, He, Dong-Qing Lin, Bo Li, Hui-Fang Liu, Sha-Sha Wang, Yong-Xia Wang, Ming-Li Sun, et al. "Organic Micro-/Nanocrystals of SFX-Based Attractor–Repulsor Molecules with the Feature of Crystal-Induced Luminescence Enhancement." Journal of Physical Chemistry C 125, no. 11 (March 5, 2021): 6249–59. http://dx.doi.org/10.1021/acs.jpcc.0c09702.
Full textMedina Guevara, María Guadalupe, Héctor Vargas Rodríguez, Pedro Basilio Espinoza Padilla, and José Luis Gozález Solís. "Evolution of Electoral Preferences for a Regime of Three Political Parties." Discrete Dynamics in Nature and Society 2018 (October 24, 2018): 1–9. http://dx.doi.org/10.1155/2018/2989851.
Full textSantiago, Jessica, Sebastian Schuster, and Matt Visser. "Tractor Beams, Pressor Beams and Stressor Beams in General Relativity." Universe 7, no. 8 (July 27, 2021): 271. http://dx.doi.org/10.3390/universe7080271.
Full textAlgaba, Antonio, Fernando Fernández-Sánchez, Manuel Merino, and Alejandro J. Rodríguez-Luis. "Chen's attractor exists if Lorenz repulsor exists: The Chen system is a special case of the Lorenz system." Chaos: An Interdisciplinary Journal of Nonlinear Science 23, no. 3 (September 2013): 033108. http://dx.doi.org/10.1063/1.4813227.
Full textDissertations / Theses on the topic "Repulsores"
Rayzaro, Oyran Silva [UNESP]. "Estimativas inferiores para dimensão de Hausdorff de repulsores não-uniformemente expansores." Universidade Estadual Paulista (UNESP), 2014. http://hdl.handle.net/11449/110599.
Full textCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Estudamos a dimensão de Hausdorff de certos conjuntos invariantes obtidos como repulsores de aplicações com buraco. Neste trabalho relacionamos a dimensão de Hausdorff do repulsor ¤ com o volume do buraco H, em particular mostramos que a dimensão de Hausdorff de ¤ pode ser tomada arbitrariamente próxima da dimensão do ambiente desde que o volume de H seja suficientemente pequeno. Como aplicação dos resultados, mostramos que a dimensão de Hausdorff dos repulsores de uma família desdobrando uma bifurcaçãoo de Hopf varia continuamente no parâmetro de bifurcação
We study the Hausdorff dimension of certain invariant sets obtained as repeller of maps with hole. In this work we relate the Hausdorff dimension of the repeller ¤ with the volume of the hole H, in particular one show that the Hausdorff, dimension of ¤ can be made arbitrarily close to the dimension of ambient provided that the volume of H is suficiently small. As an application, we show that the Hausdorff dimension of repellers of the a family unfolding a Hof bifurcation varies continuously at the bifurcation parameter
Rayzaro, Oyran Silva. "Estimativas inferiores para dimensão de Hausdorff de repulsores não-uniformemente expansores /." São José do Rio Preto, 2014. http://hdl.handle.net/11449/110599.
Full textBanca: Ali Messaoudi
Banca: Marcio Ricardo Alves Gouveia
Banca: Thiago Aparecido Catalan
Banca: Nivaldo Costa Muniz
Resumo: Estudamos a dimensão de Hausdorff de certos conjuntos invariantes obtidos como repulsores de aplicações com buraco. Neste trabalho relacionamos a dimensão de Hausdorff do repulsor ¤ com o volume do buraco H, em particular mostramos que a dimensão de Hausdorff de ¤ pode ser tomada arbitrariamente próxima da dimensão do ambiente desde que o volume de H seja suficientemente pequeno. Como aplicação dos resultados, mostramos que a dimensão de Hausdorff dos repulsores de uma família desdobrando uma bifurcaçãoo de Hopf varia continuamente no parâmetro de bifurcação
Abstract: We study the Hausdorff dimension of certain invariant sets obtained as repeller of maps with hole. In this work we relate the Hausdorff dimension of the repeller ¤ with the volume of the hole H, in particular one show that the Hausdorff, dimension of ¤ can be made arbitrarily close to the dimension of ambient provided that the volume of H is suficiently small. As an application, we show that the Hausdorff dimension of repellers of the a family unfolding a Hof bifurcation varies continuously at the bifurcation parameter
Doutor
Carvalheira, Manuel Pereira. "Controlo de um veículo aéreo semi-autónomo." Master's thesis, 2006. http://hdl.handle.net/1822/6939.
Full textThe goal of this work is the application of the approach based on attractors dynamics to the motion control of a semi-autonomous aerostatic air vehicle. The designed control architecture is fully formalized as a non-linear dynamical system. This was first validated through computational simulations. In order to do so, a simulator built with Matlab Simulink was used. In a latter stage a new simulator was built using C + + and OpenGL. In the second simulator, the Simulink space state model of the airship was replaced by differential equations solved with a fourth order Runge-Kuta method. The last step was the physical implementation of the control architecture on a real airship. To made this possible, an interface was designed and built so we could communicate with the airship thrusters using the computer. Sensory information comes from a CMOS camera in the airship gondola. Image processing gives us direction, distance and the altitude diference at which targets and obstacles lie relatively to the airship’s frontal direction. This information is then used to generate the behavioral dynamics which will be responsible for the actuation of the thrusters.
Fundação para a Ciência e a Tecnologia (FCT) - projecto POSI/SRI/38051/2001
Canelhas, Jorge Miguel Silvestre. "Analysis of the use of repulsors to improve generalization ability in genetic programming : an application to symbolic regression problems." Master's thesis, 2018. http://hdl.handle.net/10362/28931.
Full textGenetic Algorithms are bio-inspired metaheuristics that solve optimization problems; they are evolutionary algorithms that mimic the biological processes of evolution and natural selection to evolve solutions to a given problem. Genetic programming consists of the creation of programs employing GAs to evolve them. In both GA and GP, the algorithm starts with a random solution to a problem that is improved generation after generation building it on the positive traits of the previous generation and discarding traits that do not improve the solution. Repulsors consist of giving the learning algorithm some prior knowledge on the outcome of previous generations on a test set, to try to replace solutions that performed poorly on the data set with better ones. This thesis aims to test and document if the use of repulsors can change the behavior of GP, improve its learning rate and reduce overfitting thus also improving the generalization abilities? Overfitting is a problem in many machine learning algorithms, genetic programming (GP) is also affected by it, one of the objectives of this dissertation is to assess if overfitting can be reduced by using knowledge on the prior behavior of programs generated by GP on a validation data set, and, applying this knowledge to change the selection phase penalizing solutions similar to those that generalized poorly before. These poorly performing solutions will be called repulsors and are the main topic of this dissertation. We developed a program that implemented standard and repulsor based genetic programming. The program was then executed several times over some datasets and collect the results. Finally, the results were compared, and conclusions were taken. The results indicate that the use of repulsors produces better results on the training set and in the test set, this leads us to conclude that the use of repulsors has a positive effect on the performance of GP. The results indicate that the use of repulsors does indeed produce better results. On the training phase, seven out of the nine datasets showed improved algorithm performance when learning. In the test sets, the algorithm presented better generalization ability on five out of nine datasets. Studies could be extended to the use of multi-objective optimization when selecting individuals, and the extension of the repulsor list to other (independent) runs with the same parameters and dataset.
Conference papers on the topic "Repulsores"
Spitz, Jonathan, Karim Bouyarmane, Serena Ivaldi, and Jean-Baptiste Mouret. "Trial-and-error learning of repulsors for humanoid QP-based whole-body control." In 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids). IEEE, 2017. http://dx.doi.org/10.1109/humanoids.2017.8246914.
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