997 resultados para Hard part


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Proceedings of the 1'I R.C.A.N.S. Congress, Lisboa, October 1992

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The application of mathematical methods and computer algorithms in the analysis of economic and financial data series aims to give empirical descriptions of the hidden relations between many complex or unknown variables and systems. This strategy overcomes the requirement for building models based on a set of ‘fundamental laws’, which is the paradigm for studying phenomena usual in physics and engineering. In spite of this shortcut, the fact is that financial series demonstrate to be hard to tackle, involving complex memory effects and a apparently chaotic behaviour. Several measures for describing these objects were adopted by market agents, but, due to their simplicity, they are not capable to cope with the diversity and complexity embedded in the data. Therefore, it is important to propose new measures that, on one hand, are highly interpretable by standard personal but, on the other hand, are capable of capturing a significant part of the dynamical effects.

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Trabalho final de Mestrado para obtenção do grau de Mestre em Engenharia de Redes de Comunicação e Multimédia

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Proceedings of the Institution of Civil Engineers - Water Management 163 Issue WM6

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Over the past decades several approaches for schedulability analysis have been proposed for both uni-processor and multi-processor real-time systems. Although different techniques are employed, very little has been put forward in using formal specifications, with the consequent possibility for mis-interpretations or ambiguities in the problem statement. Using a logic based approach to schedulability analysis in the design of hard real-time systems eases the synthesis of correct-by-construction procedures for both static and dynamic verification processes. In this paper we propose a novel approach to schedulability analysis based on a timed temporal logic with time durations. Our approach subsumes classical methods for uni-processor scheduling analysis over compositional resource models by providing the developer with counter-examples, and by ruling out schedules that cause unsafe violations on the system. We also provide an example showing the effectiveness of our proposal.

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A aprendizagem da leitura e da escrita consiste num dos maiores desafios que as crianças têm de enfrentar no início da sua escolarização. Conseguir vencer esse desafio dá-lhes a oportunidade de se tornarem cidadãos livres, autónomos e informados (Silva, 2003). Contudo, o ato de ler pode tornar-se um desafio árduo de atingir, com muitas dificuldades pelo meio, podendo exigir bastante sensibilidade, conhecimento, informação e até arte por parte de quem ensina. Sabemos que a informação não chega a todos os alunos da mesma forma. Uns necessitam de mais tempo para aprender, mais oportunidades, outras estratégias. Este trabalho teve como objetivo principal encontrar um conjunto de estratégias que fossem ao encontro das necessidades educativas de uma aluna com oito anos de idade que revela grandes dificuldades na aquisição desta competência. Numa primeira fase da intervenção foram aplicadas provas diagnósticas para aferir as aquisições que a aluna já tinha feito de modo a delinear uma intervenção eficaz e motivadora que fosse ao encontro das suas necessidades. A intervenção baseou-se na aplicação de um método multissensorial que trabalhasse todos os mecanismos inerentes ao ato de ler. Esperava-se que com esta intervenção a aluna lesse e escrevesse pequenas frases, tendo adquirido a base para o desenvolvimento da leitura. Os resultados obtidos foram positivos, sendo que os fonemas trabalhados foram adquiridos, tendo chegado a aluna ao fim da intervenção a ler frases simples

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In this paper, we propose the Distributed using Optimal Priority Assignment (DOPA) heuristic that finds a feasible partitioning and priority assignment for distributed applications based on the linear transactional model. DOPA partitions the tasks and messages in the distributed system, and makes use of the Optimal Priority Assignment (OPA) algorithm known as Audsley’s algorithm, to find the priorities for that partition. The experimental results show how the use of the OPA algorithm increases in average the number of schedulable tasks and messages in a distributed system when compared to the use of Deadline Monotonic (DM) usually favoured in other works. Afterwards, we extend these results to the assignment of Parallel/Distributed applications and present a second heuristic named Parallel-DOPA (P-DOPA). In that case, we show how the partitioning process can be simplified by using the Distributed Stretch Transformation (DST), a parallel transaction transformation algorithm introduced in [1].

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Presented at 21st IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2015). 19 to 21, Aug, 2015, pp 122-131. Hong Kong, China.

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Proceedings of the Institution of Civil Engineers - Water Management 163 Issue WM6

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

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Two-part tariffs, when used at the retail level, increase efficiency by lowering the price of marginal units. The same potential for higher efficiency exists for two-part tariffs at wholesale level for a given market structure, but the fixed part of the wholesale tariff can negatively affect the latter. In a simulated competition model of next-generation telecommunications access networks that has been calibrated with engineering cost data, we show that the latter effects strongly outweigh the former. That is, substituting a cost-based linear wholesale access tariff with revenue-equivalent two-part tariffs reduces the number of access seekers and therefore leads to higher prices and lower welfare and consumer surplus.

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Dissertação para obtenção do Grau de Mestre em Logica Computicional

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Complex problems of globalized society challenge its adaptive capacity. However, it is precisely the nature of these human induced problems that provide enough evidence to show that adaptability may not be on a resilient path. This thesis explores the ambiguity of the idea of adaptation (and its practice) and illustrates the ways in which adaptability contributes to resilience of social ecological systems. The thesis combines a case study and grounded theory approach and develops an analytical framework to study adaptability in resource users’ organizations: from what it depends on and what the key challenges are for resource management and system resilience. It does so for the specific case of fish producers’ organizations (POs) in Portugal. The findings suggest that while ecological and market context, including the type of crisis, may influence the character of fishers’ adaptation within POs (i.e. anticipatory, maladaptive and reactively adaptive), it does not determine it. Instead, it makes agency even more crucial (i.e. leadership, trust and agent’s perceptions in terms of their impact on fishers’ motivation to learn from each other). In sum, it was found that internal adaptation can improve POs’ contribution to fishery management and resilience, but it is not a panacea and may, in some cases, increase system vulnerability to change. Continuous maladaptation of some Portuguese POs points at a basic institutional problem (fish market regime), which clearly reduces fisheries resilience as it promotes overfishing. However, structural change may not be sufficient to address other barriers to Portuguese fishers’ (PO members) adaptability, such as history (collective memory) and associated problematic self-perceptions. The agency (people involved in structures and practices) also needs to change. What and how institutional change and agency change build on one another (e.g. comparison of fisheries governance in Portugal and other EU countries) is a topic to be explored in further research.