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IEEE Symposium on Computational Intelligence in Control and Automation, CICA

作者： Juliano Pierezan Helon H. V. Ayala Luciano F. da Cruz Roberto Z. Freire Leandro dos S. Coelho Federal University of Parana— UFPR Electrical Engineering Graduate Program — PPGEE Curitiba Brazil Pontifical Catholic University of Parana — PUCPR Industrial and Systems Engineering Graduate Program — PPGEPS Curitiba Brazil Department of Electrical Engineering — DEE/PPGEE Industrial and Systems Engineering Graduate Program — PPGEPS and Federal University of Parana — UFPR Curitiba Brazil

In order to improve equipment efficiency in terms of performance, energy consumption and degradation for example, the industry has increased the use of control systems as the PID (proportional-integral-derivative) to a new baseline. This structure has few parameters to adjust and it is easy to implement practically. However, there are some requirements often included on multivariable systems that cannot be solved concurrently by classical methods. To solve this problem, the current paper approaches the application of Multiobjective Differential Evolution (MODE), Multiobjective Harmony Search (MOHS) and Multiobjective Particle Swarm Optimization (MOPSO) on multivariable PID controllers tuning. Moreover, an improved version of MOPSO (I-MOPSO) is proposed and its performance is compared with the other algorithms. In order to validate it under control systems, the optimization technique is applied on a two degree of freedom robotic manipulator. Finally, a detailed analysis is made on the I-MOPSO achievements.

关键词： Optimization Manipulator dynamics Mathematical model Particle swarm optimization Vectors

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Cascaded free search differential evolution applied to nonlinear system identification based on correlation functions and neural networks

Cascaded free search differential evolution applied to nonli...

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IEEE Symposium on Computational Intelligence in Control and Automation, CICA

作者： Helon Vicente Hultmann Ayala Luciano F. da Cruz Roberto Z. Freire Leandro dos Santos Coelho Industrial and Systems Engineering Graduate Program Pontificia Universidade Catolica do Parana Curitiba PR BR Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Federal University of Parana Curitiba Brazil

This paper presents a procedure for input selection and parameter estimation for system identification based on Radial Basis Functions Neural Networks (RBFNNs) models and Free Search Differential Evolution (FSDE). We adopt a cascaded evolutionary algorithm approach and problem decomposition to define the model orders and the related model parameters based on higher orders correlation functions. Thus, we adopt two distinct populations: the first to select the lags on the inputs and outputs of the system and the second to define the parameters for the RBFNN. We show the results when the proposed methodology is applied to model a coupled drives system with real acquired data. We use to this end the canonical binary genetic algorithm (selection of lags) and the recently proposed FSDE (definition of the model parameters), which is very convenient for the present problem for having few control parameters. The results show the validity of the approach when compared to a classical input selection algorithm.

关键词： Modeling Correlation Predictive models Sociology Evolutionary computation Algorithm design and analysis

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Swim velocity profile identification through a Dynamic Self-adaptive Multiobjective Harmonic Search and RBF neural networks 22

Swim velocity profile identification through a Dynamic Self-...

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22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014

作者： Ayala, Helon V.H. Da Cruz, Luciano F. Coelho, Leandro S. Freire, Roberto Z. Pontifical Catholic University of Parana - PUCPR Industrial and Systems Engineering Graduate Program - PPGEPS Imaculada Conceição Curitiba Parana1155 Brazil Federal University of Parana - UFPR Department of Electrical Engineering - DEE/PPGEE Polytechnic School of UFPR Curitiba Parana Brazil

ISBN: (纸本)9782874190957

Technology has been successfully applied in sports, where biomechanical analysis is one of the most important areas used to raise the performance of athletes. In this context, this paper focuses on swim velocity profile identification using Radial Basis Functions Neural Networks (RBF-NN) trained by the Gustafson-Kessel clustering combined with a novel Dynamic Self-adaptive Multiobjective Harmony Search (DS-MOHS). One study case is analyzed, from real data acquired of an elite female athlete, swimming breaststroke style. Better results are obtained by DS-MOHS when compared with standard multiobjective harmony search in terms of accuracy and generalization of the model.

关键词： Radial basis function networks

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Cascaded evolutionary multiobjective identification based on correlation function statistical tests for improving velocity analyzes in swimming

Cascaded evolutionary multiobjective identification based on...

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IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, MCDM

作者： Helon Vicente Hultmann Ayala Luciano Ferreira da Cruz Roberto Zanetti Freire Leandro dos Santos Coelho Industrial and Systems Engineering Graduate Program PUCPR Curitiba Brazil Department of Electrical Engineering PUCPR UFPR Curitiba Brazil

By using biomechanical analyses applied to sports many researchers are providing important information to coaches and athletes in order to reach better performance in a shorter time. In swimming, these kinds of analyses are being used to evaluate, to detect and to improve the skills of high level athletes. Recently, evolutionary computing theories have been adopted to support swim velocity profile identification. Based on velocity profiles recognition, it is possible to identify distinct characteristics and classify swimmers according to their abilities. In this way, this work presents an application of Radial Basis Function Neural Network (RBF-NN) associated to a proposed cascaded evolutionary procedure composed by a genetic and Multiobjective Differential Evolution (MODE) algorithms as optimization method for searching the best fitness within a set of parameters to configure the RBF-NN. The main goal and novelty of the proposed approach is to enable, through the adoption of cascaded multiobjective optimization, the use of correlation based tests in order to select both the model lagged inputs and the associated parameters in a supervised fashion. Finally, the real data of a Brazilian elite female swimmer in crawl and breaststroke styles obtained into a 25 meters swimming pool have been identified by the proposed method. The soundness of the approach is illustrated with the adherence to the model validity tests and the values of the multiple correlation coefficients between 0.95 and 0.93 for two tests for both breaststroke and crawl strokes, respectively.

关键词： Sociology Correlation Optimization Genetic algorithms Time series analysis Training

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Sustainable Product Design: The Development of a Conceptual Model

Sustainable Product Design: The Development of a Conceptual ...

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2014 International Conference on Experimental and Applied Mechanics(EAM 2014)

作者： Pamela Teixeira Fernandes Osíris Canciglieri Junior Pontifical Catholic University of Paraná Polytechnic School Graduate Program in Production Engineering and Systems - PUCPR/PPGEPS

This paper presents the development of a conceptual model for Method Integrated Product Development Oriented for *** proposed method aims to assist designers in the development process, generating design alternatives directed at sustainable development and full life cycle of the *** research was limited to application of the method to a product category through a case *** research objective is to present the process of development and application of the *** results indicate that the proposed method provides the development process to insert the rationale for the development of sustainability-oriented products as a complement to traditional design requirements in existing models of product *** is believed that its application to other product designs is promising for the development of sustainable solutions.

关键词： Sustainable Product Development Product Categories Strategies DFE

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The role of CSP in Brazil: A multi-model analysis

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AIP Conference Proceedings 2016年第1期1734卷

作者： Rafael Soria André F. P. Lucena Jan Tomaschek Tobias Fichter Thomas Haasz Alexandre Szklo Roberto Schaeffer Pedro Rochedo Ulrich Fahl Jürgen Kern Susanne Hoffmann 1Energy Planning Program Graduate School of Engineering Universidade Federal do Rio de Janeiro (UFRJ) Centro de Tecnologia Bloco C Sala 211 Cidade Universitária Ilha do Fundão 21941-972 Rio de Janeiro RJ Brazil 2Institute of Energy Economics and the Rational Use of Energy University of Stuttgart Hessbruehlstr. 49a D-70565 Stuttgart Germany 3German Aerospace Center (DLR) Institute of Engineering Thermodynamics Department of Systems Analysis and Technology Assessment Pfaffenwaldring 38-40 70569 Stuttgart Germany

MESSAGE, TIMES and REMIX-CEM are potential tools for modelling a larger penetration of variable renewable energy (VRE) into the Brazilian power system. They also allow devising the opportunities that concentrated solar power (CSP) plants offer to the power system and to the wider energy system. There are different opportunities for CSP in Brazil in the short and medium term, consolidating this technology as a feasible alternative for greenhouse gas (GHG) mitigation in Brazil. This work verified that CSP is a cost-effective option only under very stringent mitigation scenarios (4DS and 2DS) and when carbon capture and storage (CCS) is not available. Still, according to the findings of REMIX-CEM-B, CSP can provide firm energy and dispatchable capacity in the Northeast region of Brazil, optimally complementing wind and PV generation. Moreover, CSP can offer additional flexibility to the Northeast power system, especially during winter and after 2030.

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A Zaslavskii Firefly Approach Applied to Loney's Solenoid Benchmark

A Zaslavskii Firefly Approach Applied to Loney's Solenoid Be...

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IEEE International Conference on systems, Man, and Cybernetics

作者： Leandro dos Santos Coelho Emerson Hochsteiner de Vasconcelos Segundo Viviana Cocco Mariani Marcia de Fatima Morais Roberto Zanetti Freire Industrial and Systems Eng. Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR) and Department of Electrical Engineering Federal University of Parana (UFPR) Mechanical Engineering Graduate Program (PPGEM) Pontifical Catholic University of Parana (PUCPR) Mechanical Engineering Graduate Program (PPGEM) Pontifical Catholic University of Parana (PUCPR) and Department of Electrical Engineering Federal University of Parana (UFPR) Industrial and Systems Eng. Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR)

ISBN: (纸本)9781479938414

Nature-inspired algorithms of the swarm intelligence field perform powerfully and efficiently in solving global optimization problems. Inspired by nature, these metaheuristic algorithms have obtained promising performance over continuous domains of optimization problems. Recently, a new swarm intelligence approach called firefly algorithm (FA) has emerged. The FA is a stochastic paradigm based on the idealized behavior of the flashing characteristics of fireflies. However, to achieve good performance with FA, the tuning of control parameters is essential as its performance is sensitive to the choice of the randomization parameter (α) setting. This paper introduces a FA approach combined with chaotic sequences generated by Zaslavskii map (FACZ) to tune the randomization parameter. Simulations of Loney's solenoid benchmark problem examine the effectiveness of the conventional FA and the proposed FACZ algorithms. Simulation results and comparisons with the FACZ demonstrated that the performance of the FA is promising in the Loney's solenoid case.

关键词： Swarm intelligence Firefly algorithm Electromagnetic optimization Chaotic sequences Loney's solenoid

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A collaborative virtual workspace for software development

A collaborative virtual workspace for software development

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International Conference on Computer Supported Cooperative Work in Design

作者： Edenilson José da Silva Cesar A. Tacla Jean-Paul A. Barthès Milton Pires Ramos Emerson Cabrera Paraiso Universidade Federal do Parana Curitiba PR BR UMR CNRS7253 Heudiasyc Université de Technologie de Compiègne - UTC Compiègne France Center for Intelligent Systems Engineering Instituto de Tecnologia do Paraná - TECPAR Curitiba Brazil Graduate Program in Informatics - PPGIa Pontificia Universidade Católica do Paraná - PUCPR Curitiba Brazil UTFPR - Technological Federal University of Paraná Brazil

Software development is a collaborative activity, dependent on technology and performed by groups of people. The software technology involved is an important factor, since it provides the necessary tools for the development of the work. This paper presents a collaborative virtual workspace that follows the code development, comparing it with the models developed in earlier stages. It provides useful information for professionals involved in the task of developing code and even managing the project. It aims at allowing monitoring of the project, helping users to be aware of the context in which they are working. We present its main features and architecture. Results of experimentations show the value of the workspace as a tool to support awareness and software verification.

关键词： Unified modeling language Atmospheric measurements Particle measurements Collaboration Semantics Robots

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Sustainable and Inclusive Development Products Applied to Form Engineers in the Citizenship

Sustainable and Inclusive Development Products Applied to Fo...

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2014 International Conference on Experimental and Applied Mechanics(EAM 2014)

作者： Maria Lucia Miyake Okumura Osiris Canciglieri Junior Pontifical Catholic University of Paraná Polytechnic School Graduate Program in Production Engineering and Systems – PUCPR/PPGEPS.

This paper presents a multiple case study concerning to the Integrated Product Development Process(IPDP) that involves the concepts of environmental sustainability and social inclusion to build solar water heating system made of discarded and recyclable materials in a way that People with Visual deficiency(Pw VD) can participate in its *** research proposes that engineering courses in a near future adopt the aspect of Citizenship Education systematically, contextualizing environmental impact reduction and social inclusion of people with *** technical procedure of the study was delineated according to IPDP phases defined in two multidisciplinary strands leading to raw materials data collection through recycling and manufacturability with accessibility process to develop the product *** analysis of the results presents the tooling developed for manufacturing with accessibility of people with visual impairments and the efficiency of the prototype *** the end, it is placed the relevant notes observed during the research and sustainable assignments in social and environmental dimensions for the education of engineering professionals.

关键词： Product Development Environmental Sustainability Social Inclusion Citizenship Education Solar Water Heating System Person with Visual Disability

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Erratum to: The real cost of sequencing: scaling computation to keep pace with data generation

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Genome biology 2016年第1期17卷 78页

作者： Paul Muir Shantao Li Shaoke Lou Daifeng Wang Daniel J Spakowicz Leonidas Salichos Jing Zhang George M Weinstock Farren Isaacs Joel Rozowsky Mark Gerstein Department of Molecular Cellular and Developmental Biology Yale University New Haven CT 06520 USA. Systems Biology Institute Yale University West Haven CT 06516 USA. Integrated Graduate Program in Physical and Engineering Biology Yale University New Haven CT 06520 USA. Program in Computational Biology and Bioinformatics Yale University New Haven CT 06520 USA. Department of Molecular Biophysics and Biochemistry Yale University New Haven CT 06520 USA. The Jackson Laboratory for Genomic Medicine Farmington CT 06032 USA. Program in Computational Biology and Bioinformatics Yale University New Haven CT 06520 USA. mark@***. Department of Molecular Biophysics and Biochemistry Yale University New Haven CT 06520 USA. mark@***. Department of Computer Science Yale University New Haven CT 06520 USA. mark@***.

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