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113 results on '"Moreira J"'

1. Impulsive Noise Estimator With Minimization Methods (INEMM) on Software.

Author

Rabioglio, Lucas A., Cebedio, M. C., Arnone, L., De Micco, L., and Moreira, J. Castineira

Abstract

This letter introduces the design of an estimator for parameters of Middleton Class A noise using its canonical formula and classical numerical methods. The main focus is to acquire parameters to characterize communication channels in intelligent systems or those based on cognitive paradigms. A comprehensive analysis of the first-order characteristics of the Middleton Class A noise model is conducted to establish the foundational understanding necessary for developing the presented estimator model, named impulsive noise estimator with minimization methods (INEMM). Subsequently, the method is introduced, substantiated, and compared to various established estimators concerning precision and complexity. Results show a distinct advantage in terms of overall performance. [ABSTRACT FROM AUTHOR]

Published
2024
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2. Middleton Class A Noise Median Estimator: FPGA and Software Implementation.

Author

Rabioglio, Lucas A., Cebedio, M. C., Arnone, L., De Micco, L., and Moreira, J. Castineira

Abstract

This letter focuses on the field-programmable gate array (FPGA) implementation of a Class A Middleton noise estimator, aiming to enhance its efficiency and performance. The inherent algorithm of the estimator undergoes strategic enhancements, leveraging median approximations. This endeavor leads to the development of a more streamlined and expeditious architecture. The research not only introduces the refined architecture but also conducts a comparative analysis of its attributes. The outcomes of this investigation show the benefits of algorithmic optimization, as the execution times achieved in hardware significantly surpass those attainable through software-based implementation. This underscores the practicality of the algorithmic refinement and also the notable advantages of the FPGA-based execution in terms of computational speed. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Analysis of a Grounding System Under a Lightning Stroke.

Author

Vilacha, C., Otero, Antonio F., Moreira, J. C., and Miguez, E.

Subjects
ELECTRIC current grounding, LIGHTNING, ELECTRIC impedance, ELECTRIC lines, GRAPHICS processing units, SAFETY
Abstract

This paper studies the electric response of a common lattice tower when it is hit by a lightning stroke. Although some studies have been already done about this subject, the novelty of this one lies in the usage of a highly accurate electric model of an actual lattice tower. This model allows to calculate the impedance variation with different frequencies by using an adaptation of the well-known method of moments. Moreover, the authors also analyze how the impedance is affected when the grounding parameters and the connection to ground conditions are modified. These results are lately used to explain the electric behavior of the tower under two kinds of lightning impulses and different grounding configurations. [ABSTRACT FROM PUBLISHER]

Published
2015
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31. Design and Implementation of a One-Sided Communication Interface for the IBM eServer Blue Gene

Author

Blocksome, M., primary, Archer, C., additional, Inglett, T., additional, McCarthy, P., additional, Mundy, M., additional, Ratterman, J., additional, Sidelnik, A., additional, Smith, B., additional, Almasi, G., additional, Castanos, J., additional, Lieber, D., additional, Moreira, J., additional, Krishnamoorthy, S., additional, Tipparaju, V., additional, and Nieplocha, J., additional

Published
2006
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50. Coordinating Storage and Demand Response for Microgrid Emergency Operation.

Author

Gouveia, C., Moreira, J., Moreira, C. L., and Pecas Lopes, J. A.

Abstract

Microgrids are assumed to be established at the low voltage distribution level, where distributed energy sources, storage devices, controllable loads and electric vehicles are integrated in the system and need to be properly managed. The microgrid system is a flexible cell that can be operated connected to the main power network or autonomously, in a controlled and coordinated way. The use of storage devices in microgrids is related to the provision of some form of energy buffering during autonomous operating conditions, in order to balance load and generation. However, frequency variations and limited storage capacity might compromise microgrid autonomous operation. In order to improve microgrid resilience in the moments subsequent to islanding, this paper presents innovative functionalities to run online, which are able to manage microgrid storage considering the integration of electric vehicles and load responsiveness. The effectiveness of the proposed algorithms is validated through extensive numerical simulations. [ABSTRACT FROM PUBLISHER]

Published
2013
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