890 resultados para On-line communities
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Body to body links are the most scenario dependent form of body centric communications with performance highly dependent on the users' movements, relative positioning and the local operating environment. This paper focuses on line of sight cases which although they should be the most dependent, still have considerable variability depending on local propagation conditions. The results presented in the paper also raise important questions about the statistical characterisation of such links and the effect of different approaches to local mean averaging on fading characteristics. © 2012 IEEE.
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The paper reports data from an on-line peer tutoring project. In the project 78, 9–12-year-old students from Scotland and Catalonia peer tutored each other in English and Spanish via a managed on-line envi- ronment. Significant gains in first language (Catalonian pupils) modern language (Scottish pupils) and attitudes towards modern languages (both Catalonian and Scottish pupils) were reported for the exper- imental group as compared to the control group. Results indicated that pupils tutored each other in using Piagetian techniques of error correction during the project. Error correction provided by tutors to tutees focussed on morph syntaxys, more specifically the correction of verbs. Peer support provided via the on- line environment was predominantly based on the tutor giving the right answer to the tutee. High rates of impact on tutee corrected messages were observed. The implications for peer tutoring initiative taking place via on-line environments are discussed. Implications for policy and practice are explored
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A real-time Fourier transform infrared spectroscopy (FTIRS) analysis of the products of methanol oxidation in a prototype direct-methanol fuel cell operating at high temperatures (150 to 185°C) is reported here. The methanol oxidation products on platinum black and platinum-ruthenium catalyst surfaces were determined as a function of the fuel cell operating temperature, current density, and methanol/water mole ratio. Neither formaldehyde nor formic acid was detected in anode exhaust gas at all cell operating conditions. The product distributions of methanol oxidation obtained by on-line FTIRS are consistent with our previous results obtained by on-line mass spectroscopy under similar conditions. With pure methanol in anode feed, methanaldimethylacetal was found to be the main product, methyl formate and CO were also found. However, when water was present in the anode feed, the main product was CO , and the formation of methanaldimethylacetal and methyl formate decreased significantly with increase of the water/methanol mole ratio. Increase of cell operating temperature enhanced the formation of CO and decreased the formation of methanaldimethylacetal and methyl formate. Pt/Ru catalyst is more active for methanol oxidation and has a higher selectivity toward CO formation than Pt-black. Nearly complete methanol oxidation, i.e., the product was almost exclusively CO , was achieved using a Pt/Ru catalyst and a water/methanol mole ratio of 2 or higher in the anode feed at a temperature of 185°C or above.
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Background and purpose: We are developing a technique for highly focused vocal cord irradiation in early glottic carcinoma to optimally treat a target volume confined to a single cord. This technique, in contrast with the conventional methods, aims at sparing the healthy vocal cord. As such a technique requires sub-mm daily targeting accuracy to be effective, we investigate the accuracy achievable with on-line kV-cone beam CT (CBCT) corrections. Materials and methods: CBCT scans were obtained in 10 early glottic cancer patients in each treatment fraction. The grey value registration available in X-ray volume imaging (XVI) software (Elekta, Synergy) was applied to a volume of interest encompassing the thyroid cartilage. After application of the thus derived corrections, residue displacements with respect to the planning CT scan were measured at clearly identifiable relevant landmarks. The intra- and inter-observer variations were also measured. Results: While before correction the systematic displacements of the vocal cords were as large as 2.4 ± 3.3 mm (cranial-caudal population mean ± SD Σ), daily CBCT registration and correction reduced these values to less than 0.2 ± 0.5 mm in all directions. Random positioning errors (SD σ) were reduced to less than 1 mm. Correcting only for translations and not for rotations did not appreciably affect this accuracy. The residue random displacements partly stem from intra-observer variations (SD = 0.2-0.6 mm). Conclusion: The use of CBCT for daily image guidance in combination with standard mask fixation reduced systematic and random set-up errors of the vocal cords to <1 mm prior to the delivery of each fraction dose. Thus, this facilitates the high targeting precision required for a single vocal cord irradiation. © 2009 Elsevier Ireland Ltd. All rights reserved.
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TiO2 photocatalysis is a promising technology for the destruction of organic pollutants in both waste and potable waters with the mineralisation of a wide range of compounds having been reported. TiO 2 has many advantages over other semiconductors, it is highly photoreactive, cheap, non-toxic, chemically and biologically inert, and photostable. The photocatalytic activity of TiO2 has been shown to depend upon many criteria including the ratio of anatase/rutile crystal phase, particle size and oxidation state. This paper reports the use of optical surface second harmonic generation (SSHG) to monitor modifications in TiO 2 powder induced following laser treatment. SSHG is a non-contact, non-destructive technique, which is highly sensitive to both surface chemical and physical changes. Results show that three different SSH intensities were observable as the TiO2 samples were irradiated with the laser light. These regions were related to changes in chemical characteristics and particle size of the TiO2 powder
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There is an increasing interest in the biomedical field to create implantable medical devices to provide a temporary mechanical function for use inside the human body. In many of these applications bioresorbable polymer composites using PLLA with β-TCP , are increasingly being used due to their biocompatability, biodegradability and mechanical strength.1,3 These medical devices can be manufactured using conventional plastics processing methods such as injection moulding and extrusion, however there is great need to understand and control the process due to a lack of knowledge on the influence of processing on material properties. With the addition of biocompatible additives there is also a requirement to be able to predict the quality and level of dispersion within the polymer matrix. On-line UV-Vis spectroscopy has been shown to monitor the quality of fillers in polymers. This can eliminate time consuming and costly post-process evaluation of additive dispersion. The aim of this work was to identify process and performance relationships of PLLA/β-TCP composites with respect to melt-extrusion conditions. This is part of a wider study into on-line process monitoring of bioresorbable polymers as used in the medical industry.
These results show that final properties of the PLLA/ β-TCP composite are highly influenced by the particle size and loading. UV-Vis spectroscopy can be used on-line to monitor the final product and this can be utilised as a valuable tool for quality control in an application where consistent performance is of paramount importance.
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A evolução acelerada da tecnologia, com um grande impacto em quase todos os segmentos da humanidade, coloca o homem perante novos desafios, com vários graus de complexidade. Cada dia que passa, estes desafios exigem novas competências e estratégias que devem ser adequadas a cada contexto. A dinâmica das tecnologias de comunicação e informação impulsionaram a evolução do ensino a distância (EaD), o que de certo modo tem exigido grandemente às instituições provedoras do EaD em geral e, em particular, às provedoras do EaD on-line novas formas de gestão, e novas formas de ensinar, fazer aprender os seus estudantes e avaliar as suas aprendizagens. No sentido de contribuir para a evolução e melhoramento do processo de avaliação das aprendizagens on-line, desenvolveu-se um estudo sobre o tema avaliação das aprendizagens on-line como elemento potenciador da interação em EaD. O desenvolvimento do tema foi orientado por um referencial teórico e contextual e concretizou-se, na sua vertente empírica, num estudo de caso exploratório. Este estudo desenvolveu-se em duas fases. Fase I: de caracterização de conceções e “práticas” vigentes de avaliação das aprendizagens on-line no Curso de licenciatura de Gestão de Negócios (LGN) da Universidade Eduardo Mondlane (UEM) de Moçambique; Fase II: de conceção, implementação e avaliação de uma proposta alternativa de avaliação das aprendizagens on-line no Curso de LGN. Para a consecução do estudo empírico concorreram um conjunto de procedimentos metodológicos que envolveu diversas técnicas e instrumentos de recolha de dados. Na fase I recorreu-se à entrevista a seis atores do Curso de LGN (3 professores, 3 assessores pedagógicos e 3 estudantes) e à análise documental (documentos relativos à conceção do Curso e outros relativos à sua implementação). Na fase II recorreu-se à observação participante, a um questionário respondido pelos estudantes participantes, a um relatório elaborado pelo professor colaborador na implementação da proposta por nós concebido, e a documentos retirados da plataforma usada no Curso de LGN, a plataforma Aulanet, nomeadamente quanto às interações dos estudantes em fóruns e chats. Os dados recolhidos foram sujeitos a análises quantitativas e qualitativas.Dos resultados obtidos na Fase I realça-se a necessidade sentida pelos entrevistados de se mudarem práticas de avaliação on-line, nomeadamente de forma a potenciar a interação e interatividade e permitir que a classificação nos módulos não fosse apenas resultado de um exame final. Dos resultados obtidos na Fase II enfatiza-se a apreciação globalmente positiva da nova metodologia de avaliação das aprendizagens on-line, quer pelos estudantes, quer pelo professor participante. Foram identificados como pontos fortes: o aumento das interações na plataforma, em particular nos fóruns e chats; as interações geraram uma dinâmica na evolução dos estudantes no que diz respeito ao desenvolvimento das suas competências no seu sucesso académico; a avaliação, por explicitar os critérios e indicadores, tornou-se mais transparente e orientadora do trabalho dos estudantes e do professor. Porém foram identificados alguns pontos menos fortes, nomeadamente: a sobrecarga de trabalho do professor e a não adesão total dos estudantes à metodologia proposta. Dada a natureza exploratória do estudo sugere-se a sua continuidade, através do envolvimento de outros professores e estudantes.
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No âmbito dos contextos de aprendizagem de projeto em Design, nas instituições de Ensino Superior, é cada vez mais frequente a utilização de plataformas de gestão das aprendizagens on-line (LMS) no suporte às atividades curriculares à distância. Contudo estes sistemas apesar de darem um precioso contributo através da gestão de conteúdos, das funcionalidades ligadas à avaliação dos alunos e da comunicação entre pares, respondem de forma ineficiente a outras necessidades específicas de alunos e professores no desenvolvimento de unidades curriculares de Design ligadas à aprendizagem de projeto. Este fato contribuiu para que recorrêssemos às tecnologias móveis e sociais na procura de uma solução que melhor se ajuste à aplicação das novas metodologias de e-learning adaptadas a este tipo de contextos. Partindo dessa constatação desenvolvemos e testámos um modelo tecnológico que julgamos introduzir vantagens bastante significativas na definição de novas metodologias de suporte on-line a contextos de aprendizagem personalizada (PLE) em disciplinas ligadas à aprendizagem colaborativa de projeto em Design. Através do levantamento de necessidades detetadas no terreno e da análise da oferta tecnológica existente, reunimos um conjunto de requisitos que nos permitiu desenvolver o protótipo de um sistema tecnológico que fundamenta a totalidade do modelo teórico que propomos em resposta aos pressupostos equacionados no início deste relatório.
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This paper presents a non-invasive approach for diagnosing winding insulation failures in three-phase transformers, which is based on the on-line monitoring of the primary and secondary current Park's Vector. Experimental and simulated results demonstrate the effectiveness of the proposed technique, for detecting winding inter-turn insulation faults in operating three-phase transformers.
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The problem with the adequacy of radial basis function neural networks to model the inside air temperature as a function of the outside air temperature and solar radiation, and the inside relative humidity in an hydroponic greenhouse is addressed.
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The Proportional Integral and Devirative (PID) controller autotuning is an important problem, both in practical and theoretical terms. The autotuning procedure must take place in real-time, and therefore the corresponding optimisation procedure must also be executed in real-time and without disturbing on-line control.
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This study describes the on-line operation of a seismic detection system to act at the level of a seismic station providing similar role to that of a STA /LTA ratio-based detection algorithms. The intelligent detector is a Support Vector Machine (SVM), trained with data consisting of 2903 patterns extracted from records of the PVAQ station, one of the seismographic network's stations of the Institute of Meteorology of Portugal (IM). Records' spectral variations in time and characteristics were reflected in the SVM input patterns, as a set of values of power spectral density at selected frequencies. To ensure that all patterns of the sample data were within the range of variation of the training set, we used an algorithm to separate the universe of data by hyper-convex polyhedrons, determining in this manner a set of patterns that have a mandatory part of the training set. Additionally, an active learning strategy was conducted, by iteratively incorporating poorly classified cases in the training set. After having been trained, the proposed system was experimented in continuous operation for unseen (out of sample) data, and the SVM detector obtained 97.7% and 98.7% of sensitivity and selectivity, respectively. The same type of ANN presented 88.4 % and 99.4% of sensitivity and selectivity when applied to data of a different seismic station of IM. © 2013 Springer-Verlag Berlin Heidelberg.
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To boost logic density and reduce per unit power consumption SRAM-based FPGAs manufacturers adopted nanometric technologies. However, this technology is highly vulnerable to radiation-induced faults, which affect values stored in memory cells, and to manufacturing imperfections. Fault tolerant implementations, based on Triple Modular Redundancy (TMR) infrastructures, help to keep the correct operation of the circuit. However, TMR is not sufficient to guarantee the safe operation of a circuit. Other issues like module placement, the effects of multi- bit upsets (MBU) or fault accumulation, have also to be addressed. In case of a fault occurrence the correct operation of the affected module must be restored and/or the current state of the circuit coherently re-established. A solution that enables the autonomous restoration of the functional definition of the affected module, avoiding fault accumulation, re-establishing the correct circuit state in real-time, while keeping the normal operation of the circuit, is presented in this paper.
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Relatório de estágio apresentado à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Jornalismo.