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Author(s):
Rui Chuo Huei Chiou
Total Authors: 1
Document type: Doctoral Thesis
Press: São Paulo.
Institution: Universidade de São Paulo (USP). Escola Politécnica (EP/BC)
Defense date:
Examining board members:
Maria Alice Grigas Varella Ferreira; Geraldo Lino de Campos; Nelson Delfino d'Ávila Mascarenhas; Antonio Alberto Fernandes de Oliveira; Romero Tori
Advisor: Maria Alice Grigas Varella Ferreira
Abstract

In this thesis, we propose IASI Information Analysis and Synthesis Integration that integrates volume information analysis ans synthesis. The analysis can extract importance information of the data set and the synthesis converts them in visual effects by visualization techniques. IASI hás two subsystems: EIAS (Entropy Information Analysis System) and EISS (Entropy Information Analysis System). The EIAS takes advantages of unification between multiscale singularity analysis (MAS) by exploring multiresolution analysis of the wavelet transform, and hierarchical evolutionary information analysis (HEIA). HEIA uses Evolutionary Paradigm in the Information Theory view point of the Entropy concept. The Idea is to measure organization complexity of phenomenon behavior of the data set. One can evaluate information organization to classify it in complexity classes Constant, smooth, contour, texture and complex by gain or lost of the entropy information through scales. This way, the information structure can be created to link to information synthesis. This structure gives necessary information to help visualization process made by EISS. (AU)