932 resultados para market information processing


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RESUMO: Neste estudo investigou-se a influência dos meios audiovisuais na tomada de decisão pelos utentes em cirurgias oftalmológicas, especialmente nas cirurgias refractivas. A metodologia escolhida integrou métodos quantitativos e qualitativos, com o objectivo de abranger a máxima amplitude da descrição, explicação e compreensão do objecto a ser investigado. Procura-se evidenciar e analisar sentimentos, motivações e atitudes individuais, como escolhas e tomada de decisão, bem como, perceber a relação entre o processo de comunicação médico / paciente e a tomada de decisão. Foram usados: um questionário, material digital e vídeos com as principais cirurgias refractivas apresentadas aos utentes, com uma amostra de n= 150 participantes do Serviço de Oftalmologia da HOSPOR e SAMS Centro de 01 de Julho 2008 a 28 de Fevereiro de 2009, com a faixa etária de 20 a 80 anos, com diagnóstico escolhido. Os dados recolhidos foram analisados pelo SPSS 18. A fundamentação teórica está baseada no estudo da captação e disfunções no trajecto da imagem, observando-se os componentes da aquisição do conhecimento: sensação, percepção, pensamento, consciência, memória, imaginação, linguagem, informação, bem como bioética, comunicação médica e a tomada de decisão, na qual se valoriza a educação do Utente para decidir. O resultado desta investigação aponta para novos paradigmas nos processos de informação / decisão consciente, indicando a necessidade de se investir na educação e na informação médica humanizada aos utentes para haver maior conhecimento, participação, satisfação e eficácia na terapêutica a ser escolhida. ABSTRACT: This paper analyzes how information and communication technologies, in particular the media of some ophthalmologic surgery, can help better decisions meaning new ways of information and new relationship between doctor and patient. This study investigates how doctors take hold of technological resources and discuss the client`s decision. We used the quantitative and qualitative structured interview of client who are visually impaired, especially myopia / hyperopia / astigmatism, presbyopia and cataract. We used a questionnaire, material and digital videos with the leading refractive surgery presented to the clients, with a sample of n = 150 participants of the Department of Ophthalmology, and SAMS HOSPOR Center from 01 July 2008 to 28 February 2009, with range 20 to 80 years, diagnosed chosen. The data collected were analyzed by SPSS. The theoretical study is based on the capture and routing of image and perception, observing neuro-psycho-social components: sensation, perception, visual perception, consciousness, knowledge, memory, imagination, language, information, bioethics and decision-making, in which values education of user to decide. The result of this research points to new paradigms in information processing / conscious decision, indicating the necessity of investing in education and humane medical information to the Users in order to archive a greater awareness,participation, satisfaction and effectiveness in the treatment to choose.

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Swarm Intelligence generally refers to a problem-solving ability that emerges from the interaction of simple information-processing units. The concept of Swarm suggests multiplicity, distribution, stochasticity, randomness, and messiness. The concept of Intelligence suggests that problem-solving approach is successful considering learning, creativity, cognition capabilities. This paper introduces some of the theoretical foundations, the biological motivation and fundamental aspects of swarm intelligence based optimization techniques such Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and Artificial Bees Colony (ABC) algorithms for scheduling optimization.

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The paper discusses mental imagery as an important part of information processing performed during interpreting. Mental imagery is examined to see if visual processing used to remember the source text or to facilitate its understanding helps to ‗off-load‘ other cognitive (mainly linguistic) resources in interpreting. The discussion is based on a neurocognitively-oriented depictivist model by Kosslyn (1994). The overview of mental imagery processes and systems is followed by the discussion of imagery used in interpreting. First, imagery development in student interpreters is described on the basis of a note-taking course for would-be consecutive interpreters organized by the author at AMU. The initial part of the course devoted to imagery involves visualizations of geographical, descriptive and narrative texts. The description abounds in authentic examples and presents conclusions for interpreting trainers. Later, imagery as employed by professional interpreters is discussed on the basis of a qualitative survey. General implications of the use of mental imagery for cognitive processing limitations in interpreting are presented in the concluding section.

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Relatório Final de Estágio apresentado à Escola Superior de Dança, com vista à obtenção do grau de Mestre em Ensino de Dança.

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In Distributed Computer-Controlled Systems (DCCS), both real-time and reliability requirements are of major concern. Architectures for DCCS must be designed considering the integration of processing nodes and the underlying communication infrastructure. Such integration must be provided by appropriate software support services. In this paper, an architecture for DCCS is presented, its structure is outlined, and the services provided by the support software are presented. These are considered in order to guarantee the real-time and reliability requirements placed by current and future systems.

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Consider the problem of designing an algorithm for acquiring sensor readings. Consider specifically the problem of obtaining an approximate representation of sensor readings where (i) sensor readings originate from different sensor nodes, (ii) the number of sensor nodes is very large, (iii) all sensor nodes are deployed in a small area (dense network) and (iv) all sensor nodes communicate over a communication medium where at most one node can transmit at a time (a single broadcast domain). We present an efficient algorithm for this problem, and our novel algorithm has two desired properties: (i) it obtains an interpolation based on all sensor readings and (ii) it is scalable, that is, its time-complexity is independent of the number of sensor nodes. Achieving these two properties is possible thanks to the close interlinking of the information processing algorithm, the communication system and a model of the physical world.

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Radio interference drastically affects the performance of sensor-net communications, leading to packet loss and reduced energy-efficiency. As an increasing number of wireless devices operates on the same ISM frequencies, there is a strong need for understanding and debugging the performance of existing sensornet protocols under interference. Doing so requires a low-cost flexible testbed infrastructure that allows the repeatable generation of a wide range of interference patterns. Unfortunately, to date, existing sensornet testbeds lack such capabilities, and do not permit to study easily the coexistence problems between devices sharing the same frequencies. This paper addresses the current lack of such an infrastructure by using off-the-shelf sensor motes to record and playback interference patterns as well as to generate customizable and repeat-able interference in real-time. We propose and develop JamLab: a low-cost infrastructure to augment existing sensornet testbeds with accurate interference generation while limiting the overhead to a simple upload of the appropriate software. We explain how we tackle the hardware limitations and get an accurate measurement and regeneration of interference, and we experimentally evaluate the accuracy of JamLab with respect to time, space, and intensity. We further use JamLab to characterize the impact of interference on sensornet MAC protocols.

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In heterogeneous environments, diversity of resources among the devices may affect their ability to perform services with specific QoS constraints, and drive peers to group themselves in a coalition for cooperative service execution. The dynamic selection of peers should be influenced by user’s QoS requirements as well as local computation availability, tailoring provided service to user’s specific needs. However, complex dynamic real-time scenarios may prevent the possibility of computing optimal service configurations before execution. An iterative refinement approach with the ability to trade off deliberation time for the quality of the solution is proposed. We state the importance of quickly finding a good initial solution and propose heuristic evaluation functions that optimise the rate at which the quality of the current solution improves as the algorithms have more time to run.

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Remote experimentation laboratories are systems based on real equipment, allowing students to perform practical work through a computer connected to the internet. In engineering fields lab activities play a fundamental role. Distance learning has not demonstrated good results in engineering fields because traditional lab activities cannot be covered by this paradigm. These activities can be set for one or for a group of students who work from different locations. All these configurations lead to considering a flexible model that covers all possibilities (for an individual or a group). An inter-continental network of remote laboratories supported by both European and Latin American institutions of higher education has been formed. In this network context, a learning collaborative model for students working from different locations has been defined. The first considerations are presented.

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La cal es un material producido a partir de la calcinación de la roca caliza y tiene diversas utilidades en el mundo de la industria como la siderúrgica, papelera, alimentaria, en la construcción, entre otras. Es fundamental conocer todas las características de la caliza para poder determinar su grado de calcinación. Con el presente trabajo se pretende estudiar las propiedades de la caliza para su posterior calcinación y el dimensionamiento de una planta de producción de cal desde que el mineral llega de la explotación hasta que sale al mercado. Para determinar los equipos se calcularon sus dimensiones para una producción de 600 t/h de cal, sabiendo que la planta principal de machaqueo solo trabajará 5 días de la semana en jornadas de 8 horas, mientras que a partir del horno de calcinación estará en funcionamiento los 7 días de la semana, 24 horas al día. A partir de esas consideraciones se obtienen las dimensiones de todos los equipos y se realiza un estudio para la elección de un horno, o un horno de eje vertical y un horno rotativo, así como el combustible empleado, ya que es una parte fundamental para determinar los costes para la producción de cal. También fue objeto de este trabajo, el estudio ambiental de la instalación de la planta, en función de la mezcla de combustible empleada y del impacto en el entorno de la misma, así como un estudio de viabilidad de la planta, estimando unos costes de la misma y un precio de mercado “ex‐Works”.

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No ambiente empresarial actual, cada vez mais competitivo e exigente, é um factor fundamental para o sucesso das empresas a sua capacidade de atingir e melhorar os níveis de satisfação exigidos pelos clientes. Para identificar as melhorias a implementar, as empresas devem ser capazes de monitorizar e controlar todas as suas actividades e processos. O acompanhamento realizado às actividades delegadas a empresas externas, como por exemplo o transporte de mercadorias, é dificultado quando os prestadores destes serviços não possuem ferramentas de apoio que disponibilizem informação necessária para o efeito. A necessidade de colmatar esta dificuldade na recolha da informação durante a distribuição de uma encomenda na empresa Caetano Parts, uma empresa de revenda de peças de substituição automóvel, levou ao desenvolvimento de uma ferramenta que permite fazer o seguimento de uma encomenda em todas as suas fases, permitindo ao responsável pelas operações acompanhar o estado da encomenda desde o instante em que a encomenda é colocada, passando pelo seu processamento dentro das instalações, até à sua entrega ao cliente. O sistema desenvolvido é composto por dois componentes, o front-end e o back-end. O front-end é composto por uma aplicação web, e por uma aplicação Android para dispositivos móveis. A aplicação web disponibiliza a gestão da base de dados, o acompanhamento do estado da encomenda e a análise das operações. A aplicação Android é disponibilizada às empresas responsáveis pelo transporte das encomendas e possibilita a actualização online da informação acerca do processo de entrega. O back-end é composto pela unidade de armazenamento e processamento da informação e encontra-se alojado num servidor com ligação à internet, disponibilizando uma interface com o serviço móvel do tipo serviço web. A concepção, desenvolvimento e descrição das funcionalidades desta ferramenta são abordadas ao longo do trabalho. Os testes realizados ao longo do desenvolvimento validaram o correcto funcionamento da ferramenta, estando pronta para a realização de um teste piloto.

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Mestrado em engenharia electrotécnica e de computadores - Área de Especialização de Sistemas Autónomos

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This paper is about a PV system linked to the electric grid through power converters under cloud scope. The PV system is modeled by the five parameters equivalent circuit and a MPPT procedure is integrated into the modeling. The modeling for the converters models the association of a DC-DC boost with a three-level inverter. PI controllers are used with PWM by sliding mode control associated with space vector modulation controlling the booster and the inverter. A case study addresses a simulation to assess the performance of a PV system linked to the electric grid. Conclusions regarding the integration of the PV system into the electric grid are presented. © IFIP International Federation for Information Processing 2015.

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This paper presents a coordination approach to maximize the total profit of wind power systems coordinated with concentrated solar power systems, having molten-salt thermal energy storage. Both systems are effectively handled by mixed-integer linear programming in the approach, allowing enhancement on the operational during non-insolation periods. Transmission grid constraints and technical operating constraints on both systems are modeled to enable a true management support for the integration of renewable energy sources in day-ahead electricity markets. A representative case study based on real systems is considered to demonstrate the effectiveness of the proposed approach. © IFIP International Federation for Information Processing 2015.