Produção científica na faculdade de filosofia, ciencias e letras de ribeirao preto-usp: Apliçãcao do índice de hirsch

In this work, an analysis of scientific bibliographic productivity was made using the Faculdade de Filosofia, Ciencias e Letras de Ribeirao Preto, Universidade de Sao Paulo (FFCLRP-USP) as example. It is a special Institution in the Brazilian University system which encompasses four important areas of knowledge (fields of concentration) in natural, biological, humanities, and social areas. It is composed by four departments which offer altogether eight undergraduate courses: 1) Psychology, 2) Pedagogy, 3) Chemistry, 4) Biology, 5) Medical Physics, 6) Biomedical Informatics, 7) Sciences of Information and Documentation and 8) Mathematics Applied to Business and six graduate programs leading to M.S. and Ph.D. degrees. Moreover, when analyzing the different courses of FFCLRP, they represent typical academic organization in Brazil and Latin America and could be taken as a model for analyzing other Brazilian research institutions. This analysis was made using: 1) the total number of papers (indexed in Curriculum Lattes database), 2) the number of papers indexed by Thomson ISI Web of Science database, and 3) the Hirsch (h-index). Bibliometric evaluations of undergraduate courses showed a better performance of the courses of Chemistry (P < 0.05), Biology (P < 0.05) and Medical Physics (P < 0.05) when compared to the Pedagogy, Sciences of Information and Documentation (P < 0.05) and Psychology (P < 0.05). We also analyzed the scientific output of the six graduate programs of FFCLRP-USP: 1) Chemistry, 2) Physics Applied to Medicine and Biology, 3) Entomology, 4) Compared Biology, 5) Psychology, 6) Psychobiology. The graduate programs in Psychobiology, Chemistry, Physics Applied to Medicine and Biology, Compared Biology, and Entomology presented very similar results, concerning the assessment of the three indexes. The graduate program in Psychology presented a lower h-index (P < 0.05) and had fewer papers indexed by the ISI (P < 0.05) when compared to the other graduate programs. The worse performance of the psychology program, pedagogy, sciences of information and documentation, psychology courses may be associated to the limited coverage of ISI database and some particular characteristics of this field of concentration.

A matemática nos cursos profissionalizantes de mecânica

Pós-graduação em Educação Matemática - IGCE

O princípio da Indução Finita e jogos para o ensino de funções

Pós-graduação em Matemática em Rede Nacional - IBILCE

Matemática e estatística aplicadas a gestão da qualidadade nos cursos de Engenharia de Produção no Brasil: um contraponto entre a formação e o mercado de trabalho

Pós-graduação em Educação Matemática - IGCE

Structuralism and the Applicability of Mathematics

In this paper I argue for the view that structuralism offers the best perspective for an acceptable account of the applicability of mathematics in the empirical sciences. Structuralism, as I understand it, is the view that mathematics is not the science of a particular type of objects, but of structural properties of arbitrary domains of entities, regardless of whether they are actually existing, merely presupposed or only intentionally intended.

Artificial immune systems applied to optimal capacitor placement in radial distribution networks

The capacitor placement problem for radial distribution networks aims to determine capacitor types, sizes, locations and control scheme. This is a combinatorial problem that can be formulated as a mixed integer nonlinear program. The paper presents an algorithm inspired in artificial immune systems and developed for this specific problem. A good performance was obtained through experimental tests applied to known systems. © 2006 IEEE.

Control design applied to a non-ideal structural system with behavior chaotic

In this paper we study the behavior of a structure vulnerable to excessive vibrations caused by an non-ideal power source. To perform this study, the mathematical model is proposed, derive the equations of motion for a simple plane frame excited by an unbalanced rotating machine with limited power (non-ideal motor). The non-linear and non-ideal dynamics in system is demonstrated with a chaotic behavior. We use a State-Dependent Riccati Equation Control technique for regulate the chaotic behavior, in order to obtain a periodic orbit small and to decrease its amplitude. The simulation results show the identification by State-Dependent Riccati Equation Control is very effective. © 2013 Academic Publications, Ltd.

A Numerical Study of the FENE-CR Model Applied to a Jet Flow Problem

The FENE-CR model is investigated through a numerical algorithm to simulate the time-dependent moving free surface flow produced by a jet impinging on a flat surface. The objective is to demonstrate that by increasing the extensibility parameter L, the numerical solutions converge to the solutions obtained with the Oldroyd-B model. The governing equations are solved by an established free surface flow solver based on the finite difference and marker-and-cell methods. Numerical predictions of the extensional viscosity obtained with several values of the parameter L are presented. The results show that if the extensibility parameter L is sufficiently large then the extensional viscosities obtained with the FENE-CR model approximate the corresponding Oldroyd-B viscosity. Moreover, the flow from a jet impinging on a flat surface is simulated with various values of the extensibility parameter L and the fluid flow visualizations display convergence to the Oldroyd-B jet flow results.

A brief look at the least-squares approach as a classifier applied to restricted-vocabulary speech recognition

In this letter, a speech recognition algorithm based on the least-squares method is presented. Particularly, the intention is to exemplify how such a traditional numerical technique can be applied to solve a signal processing problem that is usually treated by using more elaborated formulations.

Nonlinear state estimation and control applied to a manipulator robotic including drive motor

A robotic control design considering all the inherent nonlinearities of the robot engine configuration is developed. The interactions between the robot and joint motor drive mechanism are considered. The proposed control combines two strategies, one feedforward control in order to maintain the system in the desired coordinate, and feedback control system to take the system into a desired coordinate. The feedback control is obtained using State Dependent Riccati Equation (SDRE). For link positioning two cases are considered. Case 1: For control positioning, it is only used motor voltage; Case 2: For control positioning, it is used both motor voltage and torque between the links. Simulation results, including parametric uncertainties in control shows the feasibility of the proposed control for the considered system.