Logo do repositório
Comunidades e Coleções
Todo o repositório
Sobre
English
العربية
বাংলা
Català
Čeština
Deutsch
Ελληνικά
Español
Suomi
Français
Gàidhlig
ગુજરાતી
हिंदी
Magyar
Italiano
Қазақ
Latviešu
मराठी
Nederlands
Polski
Português
Português do Brasil
Русский
Srpski (lat)
Српски
Svenska
Türkçe
Yкраї́нська
Tiếng Việt
Esqueceu sua senha?
  1. Início
  2. Pesquisar por Data

Navegando por Data de Publicação, começando com "2007-05-22"

Filtrar resultados por ano ou mês
Agora exibindo 1 - 2 de 2
  • Resultados por página
  • Opções de Ordenação
  • Carregando...
    Imagem de Miniatura
    listelement.badge.dso-typeItem,
    Crianças com dificuldades em resolução de problemas matemáticos : avaliação de um programa de intervenção
    (Universidade Federal de São Carlos, 2007-05-22) Moura, Graziella Ribeiro Soares; Rose, Julio Cesar Coelho de; https://lattes.cnpq.br/3386857761295187; https://lattes.cnpq.br/1641162974335637
    The comprehension of written texts continues being one of the most difficult academic practices for students of Basic Education. If comprehending a written material in linguistic terms brings out difficulties for some students, a text written in mathematical language can be even more difficult, because besides the mother language understanding, mathematical concepts are also needed. A lot of research has been done to try to find better ways to help children understand what was asked in mathematical problem-questions. However, there is a lot to be done to understand the difficulties and processes of problem resolution and about basic conceptual comprehension present in mathematical problems instructions. In this sense, the purpose of the present study was to elaborate, apply and evaluate an intervention program performed with children in the fourth year of Elementary School who showed difficulties comprehending and solving mathematical problems, and maximize their cognitive capacity. The methodology chosen was the experimental delineation of comparison between groups, an experimental and a control group. The study consisted of a pretest, an intervention program, a post-test and a delayed post-test. The pretest evaluated the children s performance in resolving arithmetical problems. Next, the teaching program was used with students who showed performance under 40% right in problems. This aimed to develop, in the students, enough knowledge to increase their resolution capacity of mathematical problems. That program sought to teach students to read mathematical problems instructions and find the most appropriate mathematical representation to solve the question. For this, it was necessary to teach the arithmetical operations concepts, since one of the children s difficulties was connected with understanding the meaning of each operation (addition, subtraction, multiplication and division) and its symbolic representation. The post-test and delayed posttest results for the experimental group were superior to the pretest results for the experimental and control groups, indicating an improvement in performance for the students who took part in the program. Those data showed that the intervention utilized was efficient, increasing the cognitive capacity necessary to the task of resolving arithmetical problems, which basically consists of comprehending written instructions and representing them mathematically.
  • Carregando...
    Imagem de Miniatura
    listelement.badge.dso-typeItem,
    Uso do algoritmo ICM adaptativo a descontinuidades para o aumento da resolução de imagens digitais por técnicas de reconstrução por super resolução
    (Universidade Federal de São Carlos, 2007-05-22) Martins, Ana Luísa Dine; Mascarenhas, Nelson Delfino d'Ávila; https://lattes.cnpq.br/0557976975338451; https://lattes.cnpq.br/9249940379843542
    Super resolution image reconstruction consists in using a set of low resolution images from the same scene to generate a high resolution estimate of the original scene. For that purpose, all the observed low resolution images need to have sub-pixel displacements among each other. In this way, there is more than just the same information replicated in each image and then the uncertainty inherent to the displacements can be used as additional information to increase the spatial resolution. This master s thesis proposes a Bayesian approach for the super resolution reconstruction problem using Markov Random Fields and the Potts-Straus model for the image characterization. Therefore, it is possible to incorporate previously known context spatial information about the high resolution image to be estimated. Moreover, a discontinuity adaptive ICM algorithm was used to estimate the maximum a posteriori solution. Using an initial high resolution estimate constructed from the registration and interpolation of all the observations made it possible to reconstruct an image that respected the initially presented discontinuities. We also observed that the resulted high resolution image hold finner details when compared to the initial estimation.
Siga as redes sociais do SIBi
Contato

Repositório Institucional da UFSCar (RI UFSCar)

Av. Biblioteca Comunitária, Campus São Carlos

Rod. Washington Luís, km 235 - SP-310

São Carlos, SP, 13565-905 (16) 3351-8477

Email: repositorio@ufscar.br

Acessos ao repositorio.ufscar.br

DSpace software copyright © 2002-2026 LYRASIS

  • Acessibilidade
  • Política de Privacidade
  • Termos de Uso