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 analys...
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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.
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 ...
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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.
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 sola...
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.
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 perform...
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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.
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 devel...
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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.
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 sys...
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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.
We have been studying the use of "Rich Media" to support creative and intelligent human activities. Specifically, for over ten years we have been focusing on the 3D space as a "Rich Medium" and dev...
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We have been studying the use of "Rich Media" to support creative and intelligent human activities. Specifically, for over ten years we have been focusing on the 3D space as a "Rich Medium" and developed many 3D sketch systems that support the design of 3D objects. However, we found that designers in the real world do not use them. The fundamental problem is the lack of an indispensable function for using the 3D space. To overcome this problem, we have proposed "life-sized and operable" design principles. Although the new design concept made the 3D space truly useful and promoted the designer to use such a system, it revealed new problems, i.e., Limited design space. In this paper, we extend this "life-sized and operable" 3D sketch system by using three design spaces, which enables the user to traverse between 2D drawing and 3D drawing spaces, between miniature and actual sizes, between rough sketching and precise design, and among still, operable, and hap tic sketching.
One of the most popular algorithms in the field of domain independent planning is POP - partial order planning. POP considers a least commitment strategy to solve planning problems. Such strategy delays commitments du...
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One of the most popular algorithms in the field of domain independent planning is POP - partial order planning. POP considers a least commitment strategy to solve planning problems. Such strategy delays commitments during the planning phase until it is absolutely necessary. In consequence, the algorithm provides greater flexibility for solving planning problems, but with a higher cost in performance. POP-based techniques do not consider search states, instead, search nodes represent partial plans. Recent advances in planning on distance based heuristics and reach ability analysis have helped POP planners to solve more planning problems than before. Although such heuristic techniques have demonstrated to boost performance for POP algorithms, they still remain behind state space planners. We believe that this is mainly due to the partial order representation of the search nodes in POP. In this article, instead of proposing additional heuristics for POP, we enable POP to consider different areas of its search space. We think that the basic POP algorithm follows a greedy path in its search space suffering from local optima problems, from where it cannot recover. To this extent, we have augmented POP with a simulated annealing procedure, which considers worst solutions with certain probability. The augmented algorithm produces promising results in our empirical evaluation, returning up to 19% more solutions in the problems being considered.
An multistage approach is proposed merging a deterministic and evolutionary algorithm for PI controller tuning. This technique is formulated through design of a multi-objective optimization procedure, to ensure the co...
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ISBN:
(纸本)9781467379304
An multistage approach is proposed merging a deterministic and evolutionary algorithm for PI controller tuning. This technique is formulated through design of a multi-objective optimization procedure, to ensure the construction of Pareto frontier that guarantee well distribution and exclude the non-Pareto and local Pareto points. This procedure focuses on reliability-based optimization instances. To validate the approach, we will consider the Boiler Control Benchmark. The results of its usefulness for controller tuning is demonstrated.
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