Abstract
This paper presents the analysis of a distribution system subject to reconfiguration with high wind penetration over a period of 24 hours. In order to meet this objective, the reconfiguration problem is solved through mixed integer linear programming considering the stochasticity of the variables, where the balance between load and generation has to be satisfied at the lowest cost in each period. The model considers a wind profile that follows an Auto-Regressive (AR) pattern to take into account uncertainty in wind generation, bus loads for a typical demand profile, and non-renewable distributed generation, all implemented for a 33-bus case study representing a weakly meshed distribution network. Test results from the case study show the effects on voltages, currents and substation behaviors as well as the power loss and the overall cost of the system.

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Este capítulo proporciona uma narrativa e reflexão sobre as dinâmicas de aprendizagem e contacto com o espaço físico no âmbito de um ano de participação do autor no jogo Ingress, da Google. Como jogo georreferenciado de realidade alternativa, recorre ao espaço físico que nos rodeia, mas reinterpretado com camadas de informação digital. Como jogo mundial de milhares de utilizadores simultâneos, reunidos em apenas duas equipas mundiais, requer coordenação de esforços, estratégias e colaboração. Como jogo que combina ficção científica com mistério, baseado numa narrativa incompleta que vai sendo revelada, combina dados implícitos, explícitos e ocultos, requerendo cruzamento de informações e perspetivas entre jogadores. Como jogo que é desenvolvido tecnicamente ao longo deste período, com alterações constantes de regras e funcionalidades, requer adaptação rápida às consequências e dinâmicas sociais. Pretende-se com esta narrativa e reflexão descortinar o potencial deste tipo de jogos para dinâmicas e atividades de aprendizagem formal ou informal.

Abstract
In this paper, we adopt a novel numerical algorithm, referred to as dual augmented Lagrangian method (DALM), for efficient test cost reduction based on spatial variation modeling. The key idea of DALM is to derive the dual formulation of the L1-regularized least-squares problem posed by Virtual Probe (VP), which can be efficiently solved with substantially lower computational cost than its primal formulation. In addition, a number of unique properties associated with discrete cosine transform (DCT) are exploited to further reduce the computational cost of DALM. Our experimental results of an industrial RF transceiver demonstrate that the proposed DALM solver achieves up to 38× runtime speed-up over the conventional interior-point solver without sacrificing any performance on escape rate and yield loss for test applications. © 2015 EDAA.

Abstract
In this paper, all-optical logic functions, implemented with a single SOA-based Mach-Zehnder interferometer (SOA-MZI), are demonstrated experimentally and through numerical simulations. The proposed optical configuration is capable to carry out four logic operations, using simultaneously both output ports of the SOA-MZI. This may reduce the power cost and make possible to obtain simultaneously multi logic functions. The performance of such an architecture is assessed measuring the obtained extinction ratio (ER) for each Boolean function. The potential of integration makes the proposed scheme attractive to perform optical signal processing operations in next generation photonic transmission systems.