ConTXT : contexto como fator de adaptação em dispositivos de computação móvel

Esta tese apresenta uma arquitetura de Sumarização Automática de Textos Consciente de Contexto que visa contribuir como fator de adaptação em dispositivos de computação móvel. O processo de sumarização proposto baseia-se em informações contextuais, especificamente localização espacial, temporalidade e perfis de usuário, em uma extensão do algoritmo de sumarização extrativa TF-ISF pela inclusão de níveis de relevância adicionais representados por Palavras-Contextuais. A necessidade de adaptação no processo de visualização de textos em dispositivos de computação móvel advém tanto do crescimento da disponibilização de informações em redes de computadores sem fio quanto das características e restrições intrínsecas da plataforma computacional móvel, bem como da baixa capacidade de armazenamento e processamento e interfaces restritas em termos de tamanho e possibilidades de interação. Como um dos possíveis fatores de adaptação sugere-se a utilização da sumarização automática de textos. Esta possibilita a seleção e apresentação das sentenças consideradas mais relevantes dos documentos originais produzindo, com isso, documentos compactos e mais apropriados para a materialização em dispositivos móveis. Entretanto, considera-se que os métodos de sumarização automática atualmente disponíveis na literatura não atendem plenamente a questão proposta porque não consideram, quando do processo de sumarização, as importantes informações contextuais fornecidas pela computação móvel. Como resultado do processo proposto de adaptação através da Sumarização Consciente de Contexto espera-se que os extratos obtidos sejam mais úteis aos usuários dos dispositivos de computação móvel pela sua maior adequação tanto ao contexto quanto ao perfil, bem como da efetiva consideração das limitações intrínsecas a estes. Esta solução visa contribuir fortemente para a disponibilização de informações adequadas e personalizadas, no momento oportuno, para o local adequado.

Haemulidae, modelo cariotípico de estase evolutiva

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Diversificação evolutiva de gobídeos no litoral brasileiro: padrões citogenéticos e ecomorfológicos

The fishes of the order Perciformes are characterized as an important model for understanding the genetic structure of marine populations, because besides they present examples of conservation chromosomal, also they present the karyotype diversification for some groups. Gobiidae family is the most specious in the marine environment. Among its representatives, many species are part of a cryptic fauna little noticed and studied, a wide distribution with behavioral and reproductive characteristics, that make them conducive to the action of biogeographical barriers. Morphologically this family presents reduced body structures through simplification and regressions. Despite their importance in evolutionary inferences, cytogenetics data are incipient facing their species diversity, especially with western Atlantic species. In order to estimate the evolutionary diversity in Gobiidae, it were developed cytogenetic analysis and the standards body, through geometric morphometrics in five species on the Brazilian coast, Coryphopterus glaucofraenum, Bathygobius mystacium, B. soporator, Ctenogobius smaragdus e C. Boleosoma. The data show significant karyotype and morphological diversity among the species. The pericentric inversions and mergers play an important role in chromosomal evolution of this family, causing karyotypic structural and numerical differences in all species. Karyotypic and morphological comparisons among geographic samples of B. soporator from the coast of Maranhão, Rio Grande do Norte and Bahia showed cytogenetics patterns commons, but different morphological patterns. A sample from the Atol das Rocas revealed conspicuous morphological and karyotypic differentiation of another continental populations, confirming the presence of a new island species. The approaches done reveal diversification consistent with characteristics of a group of low vagile and largely able to environmental selection due from peculiar ecological requirements

Aplicação do método de análise hierárquica na tomada de decisão para adoção de computação em nuvem: um estudo de caso na federação das indústrias do RN

The progresses of the Internet and telecommunications have been changing the concepts of Information Technology IT, especially with regard to outsourcing services, where organizations seek cost-cutting and a better focus on the business. Along with the development of that outsourcing, a new model named Cloud Computing (CC) evolved. It proposes to migrate to the Internet both data processing and information storing. Among the key points of Cloud Computing are included cost-cutting, benefits, risks and the IT paradigms changes. Nonetheless, the adoption of that model brings forth some difficulties to decision-making, by IT managers, mainly with regard to which solutions may go to the cloud, and which service providers are more appropriate to the Organization s reality. The research has as its overall aim to apply the AHP Method (Analytic Hierarchic Process) to decision-making in Cloud Computing. There to, the utilized methodology was the exploratory kind and a study of case applied to a nationwide organization (Federation of Industries of RN). The data collection was performed through two structured questionnaires answered electronically by IT technicians, and the company s Board of Directors. The analysis of the data was carried out in a qualitative and comparative way, and we utilized the software to AHP method called Web-Hipre. The results we obtained found the importance of applying the AHP method in decision-making towards the adoption of Cloud Computing, mainly because on the occasion the research was carried out the studied company already showed interest and necessity in adopting CC, considering the internal problems with infrastructure and availability of information that the company faces nowadays. The organization sought to adopt CC, however, it had doubt regarding the cloud model and which service provider would better meet their real necessities. The application of the AHP, then, worked as a guiding tool to the choice of the best alternative, which points out the Hybrid Cloud as the ideal choice to start off in Cloud Computing. Considering the following aspects: the layer of Infrastructure as a Service IaaS (Processing and Storage) must stay partly on the Public Cloud and partly in the Private Cloud; the layer of Platform as a Service PaaS (Software Developing and Testing) had preference for the Private Cloud, and the layer of Software as a Service - SaaS (Emails/Applications) divided into emails to the Public Cloud and applications to the Private Cloud. The research also identified the important factors to hiring a Cloud Computing provider