18 resultados para Information Retrieval, Document Databases, Digital Libraries
Resumo:
Stratigraphic Columns (SC) are the most useful and common ways to represent the eld descriptions (e.g., grain size, thickness of rock packages, and fossil and lithological components) of rock sequences and well logs. In these representations the width of SC vary according to the grain size (i.e., the wider the strata, the coarser the rocks (Miall 1990; Tucker 2011)), and the thickness of each layer is represented at the vertical axis of the diagram. Typically these representations are drawn 'manually' using vector graphic editors (e.g., Adobe Illustrator®, CorelDRAW®, Inskape). Nowadays there are various software which automatically plot SCs, but there are not versatile open-source tools and it is very di cult to both store and analyse stratigraphic information. This document presents Stratigraphic Data Analysis in R (SDAR), an analytical package1 designed for both plotting and facilitate the analysis of Stratigraphic Data in R (R Core Team 2014). SDAR, uses simple stratigraphic data and takes advantage of the exible plotting tools available in R to produce detailed SCs. The main bene ts of SDAR are: (i) used to generate accurate and complete SC plot including multiple features (e.g., sedimentary structures, samples, fossil content, color, structural data, contacts between beds), (ii) developed in a free software environment for statistical computing and graphics, (iii) run on a wide variety of platforms (i.e., UNIX, Windows, and MacOS), (iv) both plotting and analysing functions can be executed directly on R's command-line interface (CLI), consequently this feature enables users to integrate SDAR's functions with several others add-on packages available for R from The Comprehensive R Archive Network (CRAN).
Resumo:
Currently the world swiftly adapts to visual communication. Online services like YouTube and Vine show that video is no longer the domain of broadcast television only. Video is used for different purposes like entertainment, information, education or communication. The rapid growth of today’s video archives with sparsely available editorial data creates a big problem of its retrieval. The humans see a video like a complex interplay of cognitive concepts. As a result there is a need to build a bridge between numeric values and semantic concepts. This establishes a connection that will facilitate videos’ retrieval by humans. The critical aspect of this bridge is video annotation. The process could be done manually or automatically. Manual annotation is very tedious, subjective and expensive. Therefore automatic annotation is being actively studied. In this thesis we focus on the multimedia content automatic annotation. Namely the use of analysis techniques for information retrieval allowing to automatically extract metadata from video in a videomail system. Furthermore the identification of text, people, actions, spaces, objects, including animals and plants. Hence it will be possible to align multimedia content with the text presented in the email message and the creation of applications for semantic video database indexing and retrieving.
Resumo:
Os desafios que a educação hoje enfrenta, a par do extraordinário desenvolvimento das tecnologias de informação e comunicação exigem uma reflexão sobre as metodologias de ensino que propiciem uma maior motivação e o desenvolvimento de aprendizagens. O presente relatório resulta de um estudo sobre a aplicação de recursos baseados nas tecnologias de educação e comunicação (TIC) ao serviço da educação, realizada no âmbito da Prática de Ensino Supervisionada em Geografia e História. Esta prática decorreu em duas turmas da Escola Básica e Secundária Passos Manuel (Lisboa), uma do 10.º ano do ensino regular e outra do 11.º ano do Curso Profissional Técnico de Turismo, e numa turma do 9.º ano de escolaridade da Escola Secundária Miguel Torga (Sintra). Este trabalho assenta numa análise e reflexão sobre a aplicação das tecnologias digitais como ferramenta didática, e pretende demonstrar as potencialidades que este tipo de recursos representa no processo de ensino-aprendizagem, assim como os seus principais constrangimentos.