968 resultados para virtual community
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This paper appears in International Journal of Projectics. Vol 4(1), pp. 39-49
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As alterações sociais, culturais, tecnológicas ou puramente virtuais a que se assiste são indiscutíveis e, porventura, irreversíveis. O ritmo da evolução tecnológica não permite pausas. A crescente densidade das redes e a velocidade dos fluxos de informação fazem aumentar a complexidade da análise, contrastando com uma diminuição dos tempos de resposta. Observa-se uma dinâmica cada vez mais acentuada no processo de transição entre a informação e o conhecimento, acelerando os inputs que influenciam ou dominam as práticas sociais, políticas e simbólicas da vida. Este artigo analisa conceitos como “informação” e “conhecimento” e outros, mais geográficos, como “lugar” e “espaço”; e de que forma pode a sua dinâmica influenciar o território, que deixa de ser (apenas) real para passar a ser, também, virtual. A Sociedade do Conhecimento surge a partir da Sociedade da Informação, num contexto evolucional da cadeia de valor “dado-informação-conhecimento-sabedoria” e onde o elevado potencial tecnológico extravasa as noções tradicionais da Geografia. Para ajudar a compreender as mutações observadas no território, explicando as suas causas e consequências surge a Geografia da Sociedade do Conhecimento, um ramo da Geografia vocacionado para a análise do desenvolvimento sócio-económico da sociedade moderna.
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A Geografia tem a ver com o lugar, com a localização, com a sociedade, com o ambiente, com o espaço e com a região. Uma vez que no ciberespaço algumas destas variáveis são difíceis de definir, o campo de pesquisa da geografia virtual terá que ser aprofundado,. Este novo domínio da análise geográfica apresenta-se como uma forma de percepcionar a representação do(s) espaço(s) físico(s) no espaço virtual da Internet. Este artigo pretende mostrar um exemplo de um ‘interface’ de cartografia digital, disponível on-line, que pelas suas características inovadoras representa ‘o estado da arte’ na análise dos espaços reais ou geográficos, no espaço virtual da Internet. A sua escolha prende-se com o facto desta ferramenta utilizar conceitos e fundamentos da Geografia, aos quais foram aplicadas as modernas tecnologias de programação para ambientes da www, como as linguagens VRML, XML, Java e Flash.
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Relatório de Estágio submetido à Escola Superior de Teatro e Cinema para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Teatro - especialização em Design de Cena.
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Recent changes in the operation and planning of power systems have been motivated by the introduction of Distributed Generation (DG) and Demand Response (DR) in the competitive electricity markets' environment, with deep concerns at the efficiency level. In this context, grid operators, market operators, utilities and consumers must adopt strategies and methods to take full advantage of demand response and distributed generation. This requires that all the involved players consider all the market opportunities, as the case of energy and reserve components of electricity markets. The present paper proposes a methodology which considers the joint dispatch of demand response and distributed generation in the context of a distribution network operated by a virtual power player. The resources' participation can be performed in both energy and reserve contexts. This methodology contemplates the probability of actually using the reserve and the distribution network constraints. Its application is illustrated in this paper using a 32-bus distribution network with 66 DG units and 218 consumers classified into 6 types of consumers.
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Legionella sp has been emerging over the last decade as an important cause of pneumonia both hospital and community-acquired. Following an outbreak in a Renal - Transplant Unit stocked serum was tested for antibodies against Legionella pneumophila serogroup 1, and 5 cases of Legionnaires' Disease were reviewed. Two of the cases were nosocomial and three cases were community - acquired. Clinical and laboratorial aspects were similar to those expected for other causes of pneumonia, however jaundice was encountered in two cases. This study suggests that the real incidence of pneumonia caused by Legionella sp is being underestimated and the authors emphasize the importance of considering Legionnaires' Disease when empirically treating community - acquired pneumonia
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The 4-year study (1987-1990) covered the major clinical-epidemiological characteristics of pneumonia in children as diagnosed at the emergency service of the Children's Hospital, as well as etiologies, and factors involved in the most severe cases. Etiology was determined in 47.7% of the 541 pneumonia cases, involving 283 pathogens of which 38.6% were viruses and 12.6% bacteria. Viral and mixed etiologies were more frequent in children under 12 months of age. Bacteria predominated in ages between 6 and 23 months. Among the viruses, respiratory syncytial virus predominated (66%). The bacterial pneumonias accounted for 12.2% of the recognized etiologies. The most important bacterial agents were S. pneumoniae (64%) and H. influenzae (19%). H. influenzae and mixed infections had a relevant participation during the 1988 season, pointing to annual variations in the relative participation of pathogens and its possible implication in severity of diseases. Correlation of severity and increased percentage of etiological diagnosis was assessed: patients with respiratory rates over 70 rpm, or pleural effusion and/or extensive pulmonary parenchyma compromise yielded higher positive laboratory results. Various individual and family risk factors were recognized when comparing pneumonia children with healthy controls.
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Relatório de Estágio apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Novos Media e Práticas Web.
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Biomédica
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Artigo científico disponível actualmente em Early View (Online Version of Record published before inclusion in an issue)
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Relatório de Estágio apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ciências da Informação e da Documentação
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Demand response is assumed as an essential resource to fully achieve the smart grids operating benefits, namely in the context of competitive markets and of the increasing use of renewable-based energy sources. Some advantages of Demand Response (DR) programs and of smart grids can only be achieved through the implementation of Real Time Pricing (RTP). The integration of the expected increasing amounts of distributed energy resources, as well as new players, requires new approaches for the changing operation of power systems. The methodology proposed in this paper aims the minimization of the operation costs in a distribution network operated by a virtual power player that manages the available energy resources focusing on hour ahead re-scheduling. When facing lower wind power generation than expected from day ahead forecast, demand response is used in order to minimize the impacts of such wind availability change. In this way, consumers actively participate in regulation up and spinning reserve ancillary services through demand response programs. Real time pricing is also applied. The proposed model is especially useful when actual and day ahead wind forecast differ significantly. Its application is illustrated in this paper implementing the characteristics of a real resources conditions scenario in a 33 bus distribution network with 32 consumers and 66 distributed generators.
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This paper proposes a wind speed forecasting model that contributes to the development and implementation of adequate methodologies for Energy Resource Man-agement in a distribution power network, with intensive use of wind based power generation. The proposed fore-casting methodology aims to support the operation in the scope of the intraday resources scheduling model, name-ly with a time horizon of 10 minutes. A case study using a real database from the meteoro-logical station installed in the GECAD renewable energy lab was used. A new wind speed forecasting model has been implemented and it estimated accuracy was evalu-ated and compared with a previous developed forecast-ing model. Using as input attributes the information of the wind speed concerning the previous 3 hours enables to obtain results with high accuracy for the wind short-term forecasting.
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The integration of growing amounts of distributed generation in power systems, namely at distribution networks level, has been fostered by energy policies in several countries around the world, including in Europe. This intensive integration of distributed, non-dispatchable, and natural sources based generation (including wind power) has caused several changes in the operation and planning of power systems and of electricity markets. Sometimes the available non-dispatchable generation is higher than the demand. This generation must be used; otherwise it is wasted if not stored or used to supply additional demand. New policies and market rules, as well as new players, are needed in order to competitively integrate all the resources. The methodology proposed in this paper aims at the maximization of the social welfare in a distribution network operated by a virtual power player that aggregates and manages the available energy resources. When facing a situation of excessive non-dispatchable generation, including wind power, real time pricing is applied in order to induce the increase of consumption so that wind curtailment is minimized. This method is especially useful when actual and day-ahead resources forecast differ significantly. The distribution network characteristics and concerns are addressed by including the network constraints in the optimization model. The proposed methodology has been implemented in GAMS optimization tool and its application is illustrated in this paper using a real 937-bus distribution network with 20.310 consumers and 548 distributed generators, some of them non-dispatchable and with must take contracts. The implemented scenario corresponds to a real day in Portuguese power system.