998 resultados para Virtual museum


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Dissertao apresentada na Faculdade de Cincias e Tecnologia da Universidade Nova de Lisboa para obteno do grau de Mestre em Engenharia Biomdica

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Informao o conceito genrico de tudo que possa representar, conhecimento ou comunicao. Trata-se de conhecimento registado de forma impressa ou digital, oral ou audiovisual, mas ainda pode ser registada em suporte fsico. Desde o incio da civilizao que o Ser Humano tenta criar novas formas de transmitir informao, antes da inveno da forma escrita era utilizado o mtodo do desenho para descrever a realidade, este mtodo ao longo do tempo foi evoluindo, ganhando mais qualidade, pormenor e suportes mais evoludos. Mas sempre com a mesma inteno, a de conseguir transmitir de forma mais direta e percetvel informao a qualquer individuo. Dado isto, o Ser Humano sempre produziu arte e a foi preservando para mostrar aos vindouros. Neste processo, os museus em conjunto com espaos culturais e artsticos, foram assumindo um papel de relevo na sociedade. Mas inicialmente o objetivo principal dos museus era o de preservar e expor artefactos histricos e culturais. A grande evoluo tecnolgica dos ltimos anos veio dotar o Ser Humano com formas de aceder informao to simples e diversificadas, que no passado eram completamente impensveis e certamente que no futuro iro ser descobertas ainda mais formas de registar e propagar a informao. Assim o presente trabalho descreve a investigao realizada, atravs de uma recolha de bibliografia, levantamento do estado-da-arte, que pretende descobrir se a construo de visitas virtuais imersivas uma boa forma para mostrar um espao cultural ao pblico, que est cada vez mais exigente e disperso geograficamente. Alm do levantamento so estudados alguns exemplos de visitas virtuais existentes, de modo a detetar boas praticas e formas mais usuais para a criao de uma visita. Finalmente foi descrito todo o processo desde a recolha de informao at prpria implementao, construo de um prottipo para apresentar ao utilizador o espao de uma fundao, a do escultor Jos Rodrigues. Este prottipo tem por objetivo mostrar ao utilizador a fundao o mais aproximado do real possvel.

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Dissertao apresentada na Faculdade de Cincias e Tecnologia da Universidade Nova de Lisboa para obteno do grau de Mestre em Conservao e Restauro

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Relatrio de Estgio apresentada para cumprimento dos requisitos necessrios obteno do grau de Mestre em Cincias da Informao e da Documentao

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Journal of Cultural Heritage, n 9 (2008), p. 64-68

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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.

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Power systems have been through deep changes in recent years, namely due to the operation of competitive electricity markets in the scope the increasingly intensive use of renewable energy sources and distributed generation. This requires new business models able to cope with the new opportunities that have emerged. Virtual Power Players (VPPs) are a new type of player that allows aggregating a diversity of players (Distributed Generation (DG), Storage Agents (SA), Electrical Vehicles (V2G) and consumers) to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players benefits. A major task of VPPs is the remuneration of generation and services (maintenance, market operation costs and energy reserves), as well as charging energy consumption. This paper proposes a model to implement fair and strategic remuneration and tariff methodologies, able to allow efficient VPP operation and VPP goals accomplishment in the scope of electricity markets.

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Electricity Markets are not only a new reality but an evolving one as the involved players and rules change at a relatively high rate. Multi-agent simulation combined with Artificial Intelligence techniques may result in very helpful sophisticated tools. This paper presents a new methodology for the management of coalitions in electricity markets. This approach is tested using the multi-agent market simulator MASCEM (Multi-Agent Simulator of Competitive Electricity Markets), taking advantage of its ability to provide the means to model and simulate Virtual Power Players (VPP). VPPs are represented as coalitions of agents, with the capability of negotiating both in the market and internally, with their members in order to combine and manage their individual specific characteristics and goals, with the strategy and objectives of the VPP itself. A case study using real data from the Iberian Electricity Market is performed to validate and illustrate the proposed approach.

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This paper presents a decision support tool methodology to help virtual power players (VPPs) in the Smart Grid (SGs) context to solve the day-ahead energy resource scheduling considering the intensive use of Distributed Generation (DG) and Vehicle-To-Grid (V2G). The main focus is the application of a new hybrid method combing a particle swarm approach and a deterministic technique based on mixedinteger linear programming (MILP) to solve the day-ahead scheduling minimizing total operation costs from the aggregator point of view. A realistic mathematical formulation, considering the electric network constraints and V2G charging and discharging efficiencies is presented. Full AC power flow calculation is included in the hybrid method to allow taking into account the network constraints. A case study with a 33-bus distribution network and 1800 V2G resources is used to illustrate the performance of the proposed method.

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A forma como aprendemos depende do contexto tecnolgico e sociocultural que nos rodeia, actualmente a incluso de tecnologia recente na sala de aula no mais considerada opcional, mas sim uma necessidade pois a forma como o aluno aprende est em constante evoluo. Tendo em ateno esta necessidade, foi desenvolvido no decorrer desta tese um simulador em realidade virtual que utiliza comandos/interfaces hpticos. O objectivo deste simulador ensinar conceitos de fsica de forma interactiva. Os dispositivos hpticos permitem adicionar o sentido tctil ou de toque interaco entre homem e mquina, permitindo assim aceder a novas sensaes relativas ao seu uso nomeadamente com objectivos de aprendizagem. O simulador desenvolvido designado por Forces of Physics aborda trs tipos de foras da fsica: foras de atrito, foras gravitacionais e foras aerodinmicas. Cada tipo de fora corresponde a um mdulo do simulador contendo uma simulao individual em que so explicados conceitos especficos dessa fora num ambiente visual estimulante e com uma interaco mais realista devido incluso do dispositivo hptico Novint Falcon. O simulador foi apresentado a vrios utilizadores bem como comunidade cientfica atravs de apresentaes em conferncias. A avaliao foi realizada com recurso a um questionrio com dez perguntas, cinco de sobre aprendizagem e cinco sobre a utilizao, tendo sido preenchido por 14 utilizadores. O simulador obteve uma boa recepo por parte dos utilizadores, tendo vrios utilizadores expressado as suas opinies sobre estado actual do simulador, do futuro do mesmo e da respectiva validade para uso na sala de aula.

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As neurocincias aliadas ao marketing, constituem um novo paradigma com grande potencial, no que diz respeito ao conhecimento profundo do consumidor e do seu comportamento de compra: o Neuromarketing. O Neuromarketing tem uma forte componente cientfica que estuda e define fisiologicamente os mecanismos subjacentes cognio, com foco especfico nas bases neurais dos processos mentais e suas manifestaes comportamentais e uma componente econmica e social em que os Marketeers se questionam acerca dos mtodos tradicionais para conhecer profundamente o seu cliente e aplicar em toda a sua potencialidade o marketing one-to-one, criar relaes de fidelidade e evitar a falta de diferenciao que ainda se verifica em algumas empresas. Na ptica do consumidor este tema ainda desconhecido e podemos afirmar com alguma certeza que tambm ser um pouco assustador pensar que seja possvel conhecer to bem o nosso crebro e a nossa maneira de pensar enquanto consumidores, que nos consigam manipular no momento da deciso de compra. O presente estudo tem como finalidade perceber o que pensa o consumidor desta nova rea, o que sente em relao aos mtodos usados em Neuromarketing e se j tm alguma percepo de que diariamente j so confrontados com tcnicas de Neuromarketing e ainda, o que pensam delas.

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Tese de Doutoramento em Didtica e Formao

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Web 2.0 software in general and wikis in particular have been receiving growing attention as they constitute new and powerful tools, capable of supporting information sharing, creation of knowledge and a wide range of collaborative processes and learning activities. This paper introduces briefly some of the new opportunities made possible by Web 2.0 or the social Internet, focusing on those offered by the use of wikis as learning spaces. A wiki allows documents to be created, edited and shared on a group basis; it has a very easy and efficient markup language, using a simple Web browser. One of the most important characteristics of wiki technology is the ease with which pages are created and edited. The facility for wiki content to be edited by its users means that its pages and structure form a dynamic entity, in permanent evolution, where users can insert new ideas, supplement previously existing information and correct errors and typos in a document at any time, up to the agreed final version. This paper explores wikis as a collaborative learning and knowledge-building space and its potential for supporting Virtual Communities of Practice (VCoPs). In the academic years (2007/8 and 2008/9), students of the Business Intelligence module at the Master's programme of studies on Knowledge Management and Business Intelligence at Instituto Superior de Estatistica e Gestao de Informacao of the Universidade Nova de Lisboa, Portugal, have been actively involved in the creation of BIWiki - a wiki for Business Intelligence in the Portuguese language. Based on usage patterns and feedback from students participating in this experience, some conclusions are drawn regarding the potential of this technology to support the emergence of VCoPs; some provisional suggestions will be made regarding the use of wikis to support information sharing, knowledge creation and transfer and collaborative learning in Higher Education.