4 resultados para Multi-dimensional Numbered Information Spaces
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
The objective of this work was to access and understand the teaching social representation (MOSCOVICI, 2005) for the teachers of the children education and fundamental education at Queimadas city, Paraíba. We assume that one representation that allows the teacher to name its profession and to act on it, is a derivative of regularities that are expressed by means of a habitus (BOURDIEU, 1983a), generative matrix of perception and action. This teaching habitus is originated from the experiences and the trajectories of social and professional life of the group. Therefore, from some variables, we tried to access the profile of the group of teachers studied and to get closer of their life style to understand their profession choice and the teaching social representation for this group. In this research, it was used four data sources: a) the questionnaires of characterization; b) the questionnaires of practices and meanings; c) the experience reports and; d) the interviews in depth. The analysis of the data collected was done by means of the simple statistics (frequency), the intersection of variables through cross tables and, the thematic analysis of the contents. The results show that there is a lightly homogeneous group in terms of its social origin and its life style, moreover, they conduct to an overlap between this origin/style and the professional choice. On the other hand, the teacher representation is multi-dimensional such that, all dimensions intercept and articulate with each other to provide a concise teacher representation. They are four dimensions: love and care, help and donation, teaching and learning and, sacrifice and hope. The elements of the teacher representation are substantiated in the schemes of perception and appreciation of the group, in the regularities and life experiences in the context of religion, family, gender and profession. In these regularities we find the elements that comprise the teaching habitus which drives perception and action, representation and daily practice of these teachers. The teaching social representation is still perceived as a threshold for the professional identity of the group of teachers considered. We also observed that there are signs of changes in the practices used by these professionals since they graduate from the course of pedagogy. However, it is not possible to say that these changes are isolated or they lead to a transformation in the teaching habitus or the teaching social representation
Resumo:
We propose a new approach to reduction and abstraction of visual information for robotics vision applications. Basically, we propose to use a multi-resolution representation in combination with a moving fovea for reducing the amount of information from an image. We introduce the mathematical formalization of the moving fovea approach and mapping functions that help to use this model. Two indexes (resolution and cost) are proposed that can be useful to choose the proposed model variables. With this new theoretical approach, it is possible to apply several filters, to calculate disparity and to obtain motion analysis in real time (less than 33ms to process an image pair at a notebook AMD Turion Dual Core 2GHz). As the main result, most of time, the moving fovea allows the robot not to perform physical motion of its robotics devices to keep a possible region of interest visible in both images. We validate the proposed model with experimental results
Resumo:
The use of graphical objects three-dimensional (3D) multimedia applications is gaining more space in the media. Networks with high transmission rates, computers with large processing and graphics boost and popularize such three-dimensional applications. The areas of 3D applications ranging from military applications, entertainment applications geared up for education. Within the applications related to education, we highlight the applications that create virtual copies of cultural spaces such as museums. Through this copy, you can virtually visit a museum, see other users, communicate, exchange information on works, etc. Thereby allowing the visit museums physically distant remote users. A major problem of such virtual environments is its update. By dealing with various media (text, images, sounds, and 3D models), its subsequent handling and update on a virtual environment requires staff with specialized knowledge. Speaking of museums, they hardly have people on your team with this profile. Inside the GT-MV (Grupo de Trabalho de Museus Virtuais), funded by RNP (Rede Nacional de Ensino e Pesquisa) propose a portal for registration, amendment and seen collaborative virtual museums of Brazil. The update, be it related to work or physical space, a system with a national scale like this, would be impossible if done only by the project team. Within this scenario, we propose the modeling and implementation of a tool that allows editing of virtual spaces in an easy and intuitive as compared with available tools. Within the context of GT-MV, we apply the SAMVC (Sistema de Autoria de Museus Virtuais Colaborativos) to museums where curators build the museum from a 3D floor plan (2D). The system, from these twodimensional information, recreates the equivalent in three dimensions. With this, through little or no training, team members from each museum may be responsible for updating the system
Resumo:
Oil prospecting is one of most complex and important features of oil industry Direct prospecting methods like drilling well logs are very expensive, in consequence indirect methods are preferred. Among the indirect prospecting techniques the seismic imaging is a relevant method. Seismic method is based on artificial seismic waves that are generated, go through the geologic medium suffering diffraction and reflexion and return to the surface where they are recorded and analyzed to construct seismograms. However, the seismogram contains not only actual geologic information, but also noise, and one of the main components of the noise is the ground roll. Noise attenuation is essential for a good geologic interpretation of the seismogram. It is common to study seismograms by using time-frequency transformations that map the seismic signal into a frequency space where it is easier to remove or attenuate noise. After that, data is reconstructed in the original space in such a way that geologic structures are shown in more detail. In addition, the curvelet transform is a new and effective spectral transformation that have been used in the analysis of complex data. In this work, we employ the curvelet transform to represent geologic data using basis functions that are directional in space. This particular basis can represent more effectively two dimensional objects with contours and lines. The curvelet analysis maps real space into frequencies scales and angular sectors in such way that we can distinguish in detail the sub-spaces where is the noise and remove the coefficients corresponding to the undesired data. In this work we develop and apply the denoising analysis to remove the ground roll of seismograms. We apply this technique to a artificial seismogram and to a real one. In both cases we obtain a good noise attenuation