Made available in DSpace on 2014-06-11T19:26:55Z (GMT). No. of bitstreams: 0 Previous issue date: 2006-03-15Bitstream added on 2014-06-13T19:47:19Z : No. of bitstreams: 1 castro_fr_me_sjrp.pdf: 783980 bytes, checksum: fd80e9aa8c69641da08ee43dfa94509d (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / O objetivo principal deste trabalho é estudar a Teoria de Cohomologia de Grupos visando apresentar de forma detalhada algumas aplicações dessa teoria na Topologia e na Algebra, mais especificamente na Teoria de Grupos, com destaque para o Teorema de Schur-Zassenhaus e o Teorema de Classificação de p-grupos que possuem um subgrupo ciclico de índice p (p primo). / The aim of this work is to study the Cohomology Theory of Groups in order to present in detailed form some applications of this theory in Topology and in Algebra, more specifically, in the Theory of Groups, with prominence for the Schur-Zassenhaus Theorem and the Theorem of Classification of p-groups which contain a cyclic subgroup of index p, where p is a prime.

Orientador: Ermínia de Lourdes Campello Fanti / Banca: Luiz Queiroz Pergher / Banca: Maria Gorete Carreira Andrade / Resumo: O objetivo principal deste trabalho é estudar a Teoria de Cohomologia de Grupos visando apresentar de forma detalhada algumas aplicações dessa teoria na Topologia e na Algebra, mais especificamente na Teoria de Grupos, com destaque para o Teorema de Schur-Zassenhaus e o Teorema de Classificação de p-grupos que possuem um subgrupo ciclico de índice p (p primo). / Abstract: The aim of this work is to study the Cohomology Theory of Groups in order to present in detailed form some applications of this theory in Topology and in Algebra, more specifically, in the Theory of Groups, with prominence for the Schur-Zassenhaus Theorem and the Theorem of Classification of p-groups which contain a cyclic subgroup of index p, where p is a prime. / Mestre

yes / This paper presents a hybrid system for automatic detection and McIntosh-based classification of sunspot groups on SOHO/MDI white-light images using active-region data extracted from SOHO/MDI magnetogram images. After sunspots are detected from MDI white-light images they are grouped/clustered using MDI magnetogram images. By integrating image-processing and neural network techniques, detected sunspot regions are classified automatically according to the McIntosh classification system. Our results show that the automated grouping and classification of sunspots is possible with a high success rate when compared to the existing manually created catalogues. In addition, our system can detect and classify sunspot groups in their early stages, which are usually missed by human observers. / EPSRC