This paper presents a method to automatically process the education quality assessment quiz test. The propose technique use Pattern Recognition methodology and the final decision is taken using a MLP neural network. The X j subject's answers are numerically encoded in a descriptor vector V Xj . This vector is fed to the net and it decides the X j 's degree of satisfaction or dissatisfaction over the most important characteristics of the educational process in a faculty or a university.
Index Terms-neural networks, survey, automatic evaluationD. L. Lacrama, V. Gherhes and T. M. Karnyanszky are with the "Tibiscus" University of Timisoara, Romania F. Alexa is with the "
This paper try to demonstrate the usefulness of image processing techniques in order to measure some relevant features of Tree Drawing Test's images. The segmentation of the trunk from the crown & roots is performed using profilograms. Then the length and height of each part are measured, and the data are employed for the computations of the standard TDT formulas. This automatic process can be a real help for large groups of under aged children psychological screening.
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