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Publications

2017

A Framework for Certification of Large-scale Component-based Parallel Computing Systems in a Cloud Computing Platform for HPC Services

Authors
Dantas, AllbersonBrunodeOliveira; Junior, FranciscoHerondeCarvalho; Barbosa, LuisSoares;

Publication
CLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science, Porto, Portugal, April 24-26, 2017.

Abstract

2017

Improved Long Period Fibre Gratings sensing devices coated with thin films

Authors
Coelho, L; de Almeida, JMMM; Santos, JL; Jorge, PAS;

Publication
OCEANS 2017 - ABERDEEN

Abstract
Long period fibre gratings (LPFG) have found an increasing interest due to the easy fabrication in any kind of fibre through the induced electric arc technique with low cost and flexibility. They have been used in applications such as gain-flattening and band-rejection, and for sensing strain, temperature and chemical and biological parameters. The sensitivity of LPFG increases when the fibre is coated with certain thin films. In this short review it is presented the recent developments and applications of these kind of sensors.

2017

Probabilistic Modeling of Smart Residential Energy Systems

Authors
Lujano Rojas, JM; Osorio, GJ; Dufo Lopez, R; Bernal Agustin, JL; Shafie khah, M; Catalao, JPS;

Publication
2017 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE)

Abstract
Negative effects of massive industrialization, high rates of fossil-fuel consumption, fast economic growing and technological development have positioned renewable energies as a promising manner to reach an environmentally sustainable society. Detailed knowledge about renewable resources is an important factor, but it is difficult to obtain in most places; in the case of solar and wind resources, energetic potential could vary significantly according to the local conditions. Implementation of Measure Correlate-Predict (MCP) methodology offers a partial solution to this problem; however, the associated error related to the extrapolation process could be in some cases significant. Hence, this paper presents an analytical method to incorporate MCP extrapolation error on the simulation of smart residential energy systems. Beta probability distribution function (PDF) is used to model the extrapolation error and it is combined with a simulation model to estimate PDF of renewable power generation, battery state of charge, and power imported from the distribution system, which allows obtaining a complete perspective of energy system performance.

2017

Flexibilizing Distribution Network Systems via Dynamic Reconfiguration to Support Large-Scale Integration of Variable Energy Sources Using a Genetic Algorithm

Authors
Cruz, MRM; Fitiwi, DZ; Santos, SF; Catalao, JPS;

Publication
TECHNOLOGICAL INNOVATION FOR SMART SYSTEMS

Abstract
In recent years, the level of variable Renewable Energy Sources (vRESs) integrated in power systems has been increasing steadily. This is driven by a multitude of global and local concerns related to energy security and dependence, climate change, etc. The integration of such energy sources is expected to continue growing in the coming years. Despite their multifaceted benefits, variable energy sources introduce technical challenges mainly because of their intermittent nature, particularly at distribution levels. The flexibility of existing distribution systems should be significantly enhanced to partially reduce the side effects of vRESs. One way to do this is using a dynamic network reconfiguration. Framed in this context, this work presents an optimization problem to investigate the impacts of grid reconfiguration on the level of integration and utilization of vRES power in the system. The developed combinatorial model is solved using a genetic algorithm. A standard IEEE 33-node distribution system is employed in the analysis. Simulation results show the capability of network switching in supporting large-scale integration of vRESs in the system while alleviating their side effects. Moreover, the simultaneous consideration of vRES integration and network reconfiguration lead to a better voltage profile, reduced costs and losses in the system.

2017

Quantifying Equivocation for Finite Blocklength Wiretap Codes

Authors
Pfister, J; Gomes, MAC; Vilela, JP; Harrison, WK;

Publication
2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)

Abstract
This paper presents a new technique for providing the analysis and comparison of wiretap codes in the small blocklength regime over the binary erasure wiretap channel. A major result is the development of Monte Carlo strategies for quantifying a code's equivocation, which mirrors techniques used to analyze forward error correcting codes. For this paper, we limit our analysis to coset-based wiretap codes, and give preferred strategies for calculating and/or estimating the equivocation in order of preference. We also make several comparisons of different code families. Our results indicate that there are security advantages to using algebraic codes for applications that require small to medium blocklengths.

2017

NASH AND SOCIAL WELFARE IMPACT IN AN INTERNATIONAL TRADE MODEL

Authors
Zubelli, JP; Pinto, AA; Martins, F;

Publication
JOURNAL OF DYNAMICS AND GAMES

Abstract
We study a classic international trade model consisting of a strategic game in the tariffs of the governments. The model is a two-stage game where, at the first stage, governments of each country use their welfare functions to choose their tariffs either (i) competitively (Nash equilibrium) or (ii) cooperatively (social optimum). In the second stage, firms choose competitively (Nash) their home and export quantities. We compare the competitive (Nash) tariffs with the cooperative (social) tariffs and we classify the game type according to the coincidence or not of these equilibria as a social equilibrium, a prisoner's dilemma or a lose-win dilemma.

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