98 resultados para DIGITAL ELEVATION MODELS
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Digital models are an alternative for carrying out analyses and devising treatment plans in orthodontics. The objective of this study was to evaluate the accuracy and the reproducibility of measurements of tooth sizes, interdental distances and analyses of occlusion using plaster models and their digital images. Thirty pairs of plaster models were chosen at random, and the digital images of each plaster model were obtained using a laser scanner (3Shape R-700, 3Shape A/S). With the plaster models, the measurements were taken using a caliper (Mitutoyo Digimatic(®), Mitutoyo (UK) Ltd) and the MicroScribe (MS) 3DX (Immersion, San Jose, Calif). For the digital images, the measurement tools used were those from the O3d software (Widialabs, Brazil). The data obtained were compared statistically using the Dahlberg formula, analysis of variance and the Tukey test (p < 0.05). The majority of the measurements, obtained using the caliper and O3d were identical, and both were significantly different from those obtained using the MS. Intra-examiner agreement was lowest when using the MS. The results demonstrated that the accuracy and reproducibility of the tooth measurements and analyses from the plaster models using the caliper and from the digital models using O3d software were identical.
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Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC
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This paper proposes a model of educative content structuring for interactive digital television programs. Its intent was to provide references for collaborative production processes and content organization in learning networks associated with university and educative television broadcasting services. The model defines terms, actors, events, environments, as well as content categories, classes and attributes, indicating criteria for their synchronic or asynchronic association in a dynamic television schedule. The model is presented in both descriptive and visual formats, with the use of conceptual maps. The results indicate that interactive use of digital television in education requires systematic content models covering communitarian participation in both media production and distribution processes, in order to enhance learning instruments beyond vertical, hierarchical and centralized communication sustained by traditional broadcast channels.
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Scientific research has shown remarkable advances in the formulation of criteria for assessing the quality of journalism practiced in the commercial media and public broadcasting, comprising aspects such as management models, business principles, parameters to the assessment of results and exercise of social responsibility. However, there are fewer investigations on the practice of journalism in digital public communication formats explored by government web portals. The contribution of this paper lies in a proposal of elements for the construction of parameters for evaluating the quality of journalism in the digital public communication. The proposal is inspired by criteria for evaluating the quality of commercial media and public broadcasting and suggests means for its application in the journalism practiced in the context of government web portals.
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The paper presents and discusses business strategies based on the association from journalistic content to new commercial practices in digital media. We describe selected examples from Folha de S. Paulo and El País involving service guides, links and ecommerce advertisements. The employed method provides content analysis to illustrate how the search for new business models in journalism may conduct its commercial activities beyond the conventional sale of advertising and subscriptions, including a discussion on the challenges and implications of this practice. The hypothesis is demonstrated by describing operations for the sale of tickets, books, music, and films related to news features and service journalism contents. The text finally wonders and discusses how such commercial actions may affect editorial autonomy and publishing exemption.
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With the deployment of Digital TV in Brazil, there is a need to foment the development and production of interactive audiovisual quality content, especially for programs that present educational messages from the entertainment concept - defined as Edutertainment. The objective of this study is to propose application of the gamification as a link of communication to encourage and modify user behavior, through a narrative that encourages intrinsic motivation for learning and entertainment in this media. This paper points out that there are few models of screenplays for applications production, particularly educational, with simultaneous interactive applications for television flow or complementary programming content offered. For this reason, a special attention is given to the screenplay, by virtue of inserting in its construction, the elements that make up the mechanics and dynamics of games. As a result, is shown the entry "Gamification-iDTV", which defines these two scenarios, as well as the development of a modeling methodology of a content and process, supported by conceptual maps, wireframes and roadmaps, substantiating the conception and elaboration of screenplay's prototype with elements of gamification for educational programs and its interaction applications.
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The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.
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Pós-graduação em Psicologia - FCLAS