This paper presents a method to determine hysteresis parameters of an inductor's core with a closed magnetic circuit based on electric current and voltage curves of a damped LC circuit. The proposed procedure make...
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Recently, evolutionary algorithms (e.g. genetic algorithms, evolutionary programming, and evolution strategies) have proven to be useful tools for the optimization of difficult problems in electromagnetics. Differenti...
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The goal of this paper is to show a study to evaluate the possibility of using ontologies to support maintenance procedures in IT equipment in a small power company. The aim is to improve the degree of reliability in ...
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The goal of this paper is to show a study to evaluate the possibility of using ontologies to support maintenance procedures in IT equipment in a small power company. The aim is to improve the degree of reliability in detection of potential failures and defects in maintenance processes of information technology critical assets, trying to obtain less downtime of services that they provide. The methodological procedures used in this study were literature review, to present the modeling concepts of knowledge focused on ontologies creation and state of the art in building of field procedures describing the steps from initial drafting of ontology finishing with their tests. The results demonstrate that it is viable to utilize this technique, where the network equipment that keeps critical services require high level of availability on meeting the needs of the corporation.
The world population is expected to increase to 9.8 billion by 2050, increasing food demand. Fertilizer is one of the key factors that can increase food production in the world. This article aims to investigate the fl...
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The objective of this work is to compare the augmented neural network (AugNN) metaheuristic to minimum bin slack (MBS) heuristic to solve combinatorial optimisation problems, specifically, in this case, the one-dimens...
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This paper proposes extending the CORBA (Common Object Request Broker Architecture) security model to make possible the use of mandatory policies and policy management in distributed applications. Mandatory policies a...
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This paper presents a new discrete-time sliding-mode control design for multiple-input multi-output (MIMO) systems with tuning parameters by particle swarm optimization (PSO). PSO is a kind of evolutionary algorithm b...
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Advanced conceptions to design industrial control systems are, in general, dependent of mathematical models of the controlled process. Also, the task of the controllers is to achieve an optimum performance when facing...
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Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm that shares many similarities with evolutionary computation techniques. However, the PSO is driven by the simulation of a social psy...
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This paper aims at exploring how some factors identified in the PSS and product/service innovation literature can hinder or foster sustainable PSS implementation in developing countries, since there is a lack of knowl...
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This paper aims at exploring how some factors identified in the PSS and product/service innovation literature can hinder or foster sustainable PSS implementation in developing countries, since there is a lack of knowledge concerning the characteristics of PSS transition processes in different contexts. The identified factors were investigated empirically, through two PSS solutions located in an emerging economy. The main results demonstrated the role of some potential factors in supporting the implementation and diffusion of PSS solutions, especially those related to the involvement of multiple actors in the value creation and the social embeddedness. However, the role of those factors still need to be investigated in future works, since only two cases were analyzed in this research. Analyses of successful and unsuccessful PSS cases as well as the identification of other factors and characteristics of PSS implementation in different contexts are directions for further research.
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