Structural FRF acquisition via electric impedance measurement applied to damage location

Continuing development of new materials makes systems lighter and stronger permitting more complex systems to provide more functionality and flexibility that demands a more effective evaluation of their structural health. Smart material technology has become an area of increasing interest in this field. The combination of smart materials and artificial neural networks can be used as an excellent tool for pattern recognition, turning their application adequate for monitoring and fault classification of equipment and structures. In order to identify the fault, the neural network must be trained using a set of solutions to its corresponding forward Variational problem. After the training process, the net can successfully solve the inverse variational problem in the context of monitoring and fault detection because of their pattern recognition and interpolation capabilities. The use of structural frequency response function is a fundamental portion of structural dynamic analysis, and it can be extracted from measured electric impedance through the electromechanical interaction of a piezoceramic and a structure. In this paper we use the FRF obtained by a mathematical model (FEM) in order to generate the training data for the neural networks, and the identification of damage can be done by measuring electric impedance, since suitable data normalization correlates FRF and electrical impedance.

O ensino de lingua estrangeira (inglês): as relações entre as crenças e as práticas pedagógicas

Pós-graduação em Educação - FFC

Formação contínua na escola: a voz dos professores

Pós-graduação em Educação - FCT

O ensino da gramática da língua inglesa em um contexto de escola pública: crenças, abordagens e motivação

Pós-graduação em Estudos Linguísticos - IBILCE

Gestão democrática na escola: as impressões dos participantes do programa progestão

This paper is a sampling of an extensive research which analyzed and assessed the Distance Learning Program for Qualification of School Managers (Progestão) carried out in three schools, which preserved the same management team during the program. Progestão provided continuing and inservice development for public school managers by means of distance and presential types of learning. This paper deals with the concept of democratic management understood by the proponents of Progestão, the training team (trainers and multipliers), and the managers assisting the course (principals, vice principals, and pedagogical supervisors). Three issues that check the understanding of the democratic management concept were analyzed, as well as how those participants implement it in schools. The research is based on the qualitative approach, which has an evaluating character. It discusses the profile assigned to school management since the amendment of the State and the passing of the Law of Policies and Principles of Education (LDB)/96, besides pointing out the difficulties to support democratic management dissociated from other school practices.

THE MAPPING IN THE CONTINUING EDUCATION OF TEACHERS: AN EXPERIENCE THROUGH DISTANCE LEARNING

In this work, we show the experience of continuing teacher education in Cartography in the period from 03/11/2009 to 03/11/2010, it was held by the Center for Continuing Education in Mathematics Education, Science and Environment (CECEMCA) - UNESP - Rio Claro, in DL (Distance Learning). This experience was through the extension course set in TelEduc platform. The course was titled Introduction to Cartography and aimed primarily: Present concepts of systematic and thematic mapping and its potential application in teaching practices, increase knowledge in the areas of Geography, Cartography and Environment; Offer alternatives for implementing content mapping in the classroom.