47 resultados para PRIVATIZATION

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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L'article présente les résultats finaux de l'enquête inter-institutionnelle qui a eu pour objet d'analyser la nature et les conséquences de partenariats conclus entre des secteurs privés et des gouvernements municipaux de la métropole de São Paulo pour le service de l'éducation à la maternelle et à l'enseignement élémentaire. La période a correspondu aux années 1996 à 2006, sachant que la perception d'une augmentation des responsabilités des municipalités pour l'offre éducationnelle, suite à la municipalisation de l'enseignement élémentaire, pourrait stimuler la sous-traitance de l'offre et la privatisation de l'éducation municipale. L'étude présente des tendances en relation avec trois modalités de partenariat: subvention publique pour l'offre de places en institutions privées de l'éducation élémentaire; acquisition de systèmes privés de l'enseignement et recours à des cabinets de conseil privés pour la gestion de l'éducation municipale. Les tendances perçues dans l'analyse indiquent que les actuelles relations entre les sphères publiques et privées dans le champ de l'éducation, suite à la décentralisation survenue dans le secteur, représentent un mouvement dans le sens de sa privatisation.

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This work has as objectives the implementation of a intelligent computational tool to identify the non-technical losses and to select its most relevant features, considering information from the database with industrial consumers profiles of a power company. The solution to this problem is not trivial and not of regional character, the minimization of non-technical loss represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive environment after the period of privatization in the national scene. This work presents using the WEKA software to the proposed objective, comparing various classification techniques and optimization through intelligent algorithms, this way, can be possible to automate applications on Smart Grids. © 2012 IEEE.

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The non-technical loss is not a problem with trivial solution or regional character and its minimization represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive environment after the period of privatization in the national scene. In this paper, we show how to improve the training phase of a neural network-based classifier using a recently proposed meta-heuristic technique called Charged System Search, which is based on the interactions between electrically charged particles. The experiments were carried out in the context of non-technical loss in power distribution systems in a dataset obtained from a Brazilian electrical power company, and have demonstrated the robustness of the proposed technique against with several others nature-inspired optimization techniques for training neural networks. Thus, it is possible to improve some applications on Smart Grids. © 2013 IEEE.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Educação - IBRC

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Educação - IBRC

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)