2017
Authors
Paulino, NMC; Ferreira, JC; Cardoso, JMP;
Publication
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
Abstract
Many embedded applications process large amounts of data using regular computational kernels, amenable to acceleration by specialized hardware coprocessors. To reduce the significant design effort, the dedicated hardware may be automatically generated, usually starting from the application's source or binary code. This paper presents a moduloscheduled loop accelerator capable of executing multiple loops and a supporting toolchain. A generation/scheduling procedure, which fully relies on MicroBlaze instruction traces, produces accelerator instances, customized in terms of functional units and interconnections. The accelerators support integer and single-precision floating-point arithmetic, and exploit instruction-level parallelism, loop pipelining, and memory access parallelism via two read/write ports. A complete implementation of the proposed architecture is evaluated in a Virtex-7 device. Augmenting a MicroBlaze processor with a tailored accelerator achieves a geometric mean speedup, over software-only execution, of 6.61x for 13 floating-point kernels from the Livermore Loops set, and of 4.08x for 11 integer kernels from Texas Instruments' IMGLIB. The proposed customized accelerators are compared with ALU-based ones. The average specialized accelerator requires only 0.47x the number of field-programmable gate array slices of an accelerator with four ALUs. A geometric mean speedup of 1.78x over a four-issue very long instruction word (without floating-point support) was obtained for the integer kernels.
2017
Authors
AMARAL, TAD; BRAGA, RNFGP; LIMA, ACRD; ANDRADE, CDLTD;
Publication
Revista Brasileira de Milho e Sorgo
Abstract
2017
Authors
Javadi, MS; Nezhad, AE;
Publication
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
Abstract
This paper proposes a long-term framework for generation expansion and transmission expansion planning taking into account the renewable energy integration. To solve the problem, a hybrid technique is used. The mechanism of this technique is based on decomposing the original problem into master and slave subproblems where the master subproblem is solved using a heuristic optimization algorithm and slave subproblems are solved using general algebraic modeling system, which is a well-known software with powerful mathematical solvers. The proposed heuristic algorithm is a combination of the intelligent particle swarm optimization and chaotic searching technique. Finally, the proposed model is simulated using 3 case studies including 6-bus Garver test system, IEEE 24-bus, and modified IEEE 118-bus test systems to validate the effectiveness of the long-term planning framework while the simulation results are compared to those obtained from classic genetic algorithm (GA-Classic) and classic particle swarm optimization (PSO-Classic) to verify the efficiency of the technique used in this paper. Copyright © 2017 John Wiley & Sons, Ltd.
2017
Authors
Rocha, T; Marques, A; Brito, JP; Cardoso, L; Martins, P; Barroso, J;
Publication
2017 12TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI)
Abstract
In this paper, a Web application that allows people with speech impairments to train and amend pronunciation of words by repeating words presented in a interface with visual and auditory stimuli, is presented. With this app, we aim at present a training assistive tool to be used by the user, in a daily situation, where the main asset is the feedback about the rate of correct pronunciation, thus allowing users to train, autonomously, at home. Additionally, we present a preliminary user study to assess usability of the proposed application. For that, we invited a group of people with speech impairments to perform training tasks with the application. In the assessment, we register the following parameters: effectiveness (successful conclusion of the training tasks and percentage of pronouncing success); efficiency (number of errors made, number and type of difficulties found); and, satisfaction (the acceptance and comfort to complete the training tasks). Overall, the preliminary results showed that participants achieved an efficiency rate of 53.4% in the accomplishment of the proposed tasks. On average, for each image, participants missed at least 2 times, where the most registered difficulty was the pronunciation of words with accents. Regarding satisfaction, we noticed that they like it as they ask not only to repeat the test but also the addition of more pictures to perform more tests with the proposed web application.
2017
Authors
Leite, Vicente (Ed.); Pereira, Ana I. (Ed.); Ferreira, Ângela P. (Ed.); Gonçalves, Artur (Ed.); Almeida, João P. (Ed.); Calvo-Rolle, Jose Luis (Ed.); Feliciano, Manuel (Ed.); Soares, Orlando (Ed.); Boloy, Ronney Arismel Mancebo (Ed.);
Publication
Abstract
O III Congresso Ibero-Americano de Empreendedorismo, Energia,
Ambiente e Tecnologia (CIEEMAT), dá continuidade ao trabalho desenvolvido no
Brasil pelo Centro Federal de Educação Tecnológica Celso Suckow da Fonseca – Rio de
Janeiro, atravessando o oceano Atlântico para a sua primeira edição no contexto da
Península Ibérica.
Concebido para englobar um conjunto abrangente de áreas temáticas, este evento
serve de ponto de encontro entre profissionais, investigadores, professores e
estudantes dos países Ibero-Americanos, num fórum que reforça o perfil internacional
do Instituto Politécnico de Bragança, assim como das demais Instituições
Organizadoras e Parceiras, designadamente, no âmbito de Programas de Dupla
Diplomação.
Nos três dias do evento, esperamos que encontrem oportunidades para a partilha de
ideias e resultados de investigação, reforçando ou estabelecendo novos contactos e
parcerias no espaço Latino-Americano.
Por fim, espero que a Vossa estadia em Bragança seja agradável e que levem de volta
gratas recordações do CIEEMAT 2017.
2017
Authors
Santos, F; Almeida, A; Martins, C; Oliveira, P; Gonçalves, R;
Publication
Advances in Intelligent Systems and Computing
Abstract
This paper describes a proposal to develop a Tourism Recommendation System based in Users and Points-of-Interest (POI) profiles The main focus of this work is to evaluate if gathered user’s physical and psychological functionality levels will return more accurate recommendation results. This work also aims to contribute with a different way to classify (POI) considering their capacity measured in accessibility levels to receive tourists with certain levels of physical and psychological issues that will be described in this paper sections. © Springer International Publishing AG 2017.
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