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Reduction in the environmental impacts caused by the alumina production procces through the use of neural networks 22

Reduction in the environmental impacts caused by the alumina...

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22nd International Conference on Production Research, ICPR 2013

作者： Da Silva, Ruy Gomes Steiner, Maria Teresinha Arns Pontifical Catholic University of Paraná Graduate Program in Industrial and Systems Engineering Rua Imaculada Conceição 1155 Prado Velho Curitiba ParanáCEP: 80.215-901 Brazil

This work's goal is to recognize variable patterns in a process that will serve as basis for the creation of a mathematic model capable of predicting the results for caustic contents in the reject from the alumina production process, denominated Red Mud, making it possible to simulate the best combination among entry variables. By that, the reuse of red mud in civil construction industry is intended, minimizing environmental impacts generated by the excess of red mud discarded in the environment by the mentioned process. This work will perform tests with a historical registers database of entry and exit variables for the process's stage that makes this washing. For the creation of the model, the data will be submitted to an Artificial Neural Network for the training of such patterns that should generate predictions with a low error percentage when compared to the simulated data obtained in laboratories.

关键词： Forecasting

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High Resolution of City-Level Climate Simulation by GPU with Multi-physical Phenomena 18th

High Resolution of City-Level Climate Simulation by GPU with...

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18th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2021

作者： Watanabe, Koei Kikuchi, Kohei Boku, Taisuke Sato, Takuto Kusaka, Hiroyuki Master’s Program in Computer Science Graduate School of Systems and Information Engineering University of Tsukuba Tsukubashi Japan Center for Computational Sciences University of Tsukuba Tsukubashi Tennodi Japan

ISBN: (纸本)9783030935702

In this paper, we describe the Graphics Processing Unit (GPU) implementation of our City-LES code on detailed large eddy simulations, including the multi-physical phenomena on fluid dynamics, heat absorption and reflection by surface and building materials, cloud effects, and even sunlight effect. Because a detailed simulation involving these phenomena is required for analyses at the street level and several meters of resolution, the computation amount is enormous, and ordinary CPU computation cannot provide sufficient performance. Therefore, we implemented the entire code on GPU clusters with large-scale computing. We applied OpenACC coding to incrementally implement relatively easy programming and eliminate data transfers between the CPU and GPU memories. Based on this research, we determined that the elimination of data transfers is effective, even in the case where a part of the code execution on the GPU is slower than the CPU, owing to the absence of spatial parallelism. The objective of this study is to perform a complete climate simulation on a few square-kilometers field around the Tokyo Station, considering the finest resolution of the original highlighted area of the Marathon race in the Olympic Games Tokyo 2020. We successfully transferred the entire code to the GPU to provide approximately eight times the performance of CPU-only computation on multi-GPU per node with a large scale cluster. © 2022, IFIP International Federation for Information Processing.

关键词： Graphics processing unit

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Swim velocity profile identification by using a modified differential evolution method associated with RBF Neural Network

Swim velocity profile identification by using a modified dif...

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2013 3rd International Conference on Innovative Computing Technology, INTECH 2013

作者： Santos Coelho, Leandro Dos Da Cruz, Luciano Ferreira Freire, Roberto Zanetti Pontifical Catholic University of Parana - PUCPR Industrial and Systems Engineering Graduate Program - PPGEPS Curitiba PR Brazil Federal University of Parana - UFPR Department of Electrical Engineering - DEE/PPGEE Curitiba PR Brazil

ISBN: (纸本)9781479900473

High level sports require a steady intensification of training in order to raise the athletes' performance. With the purpose of support swimmers and coaches new biomechanical analysis are been performed, becoming one of the most studied areas in swimming. By using technology resources, Esignificant results related to performance improvements are being achieved. Specific analysis of the movements, strength, velocity and projection allow identifying relevant points that directly impact athletes' results. In this context, this work uses a Radial Basis Function Neural Network (RBF-NN) with training combining the Gustafson-Kessel clustering method and the proposed Modified Differential Evolution (MDE) in order to perform the swimmer velocity profile identification. The main idea is to obtain the dynamic of the velocity profile and to use it to improve the athletes' swim style. Differential Evolution (DE) is an evolutionary algorithm that uses a rather greedy and less stochastic approach to solve problems when compared to other evolutionary methods [1]. However, to achieve good performance with DE, the tuning of control parameters is essential as its performance is sensitive to the choice of the mutation and crossover settings. On the other hand, the RBF-NN is a powerful approach for nonlinear identification. This paper combines the two strategies described above proposing a modified DE algorithm based on the association of a sinusoidal signal and chaotic sequences generated by logistic map for the mutation factor tuning. By using data collected from breaststroke and crawl swim style of an elite female swimmer, the validity and the accuracy of the RBF-NN model have been tested by simulations. Results reveal that it is feasible to establish a good model to represent data experimental related to swimming field. Identification results show that MDE outperforms both other tested classical DE approaches for training RBF-NNs in terms of solution quality. © 2013 IEEE.

关键词： Optimization

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Aligning organizational and operations performance: A process-based approach

Aligning organizational and operations performance: A proces...

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2018 Institute of Industrial and systems Engineers Annual Conference and Expo, IISE 2018

作者： Gorte, Leticia Deschamps, Fernando De Lima, Edson Pinheiro Keathley-Herring, Heather Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Department of Mechanical Engineering Federal University of Parana Curitiba Brazil Federal University of Technology - Parana Curitiba Brazil Department of Industrial Engineering and Management Systems University of Central Florida Orlando United States

Organizational models of production systems that focus on services and servitization are experiencing an increase in an application. These models emphasize the value proposition for the customer and a better understanding of the value creation process. Additionally, the emergence of new technologies such as those associated with Industry 4.0 also requires well-structured and results-oriented processes. In this perspective, although there are several tools for measuring both operations and organizational performance, the literature still lacks tools that integrate and align these two perspectives, accounting for activities at the operational level that reflect objectives at the strategic level, and vice-versa. Therefore, a procedure for aligning process performance (operations' performance) and strategic performance (organizational performance) in a service context is proposed. This procedure is based on three main components identified through a literature review: (1) guidelines associated with enterprise engineering that focus on processes, developed by Deschamps (2013);(2) a set of critical success factors for implementation of performance measurement systems that focus on organizational performance, developed by Keathley (2016);and (3) ten determinants of service quality, proposed by Parasuraman (1985). The alignment procedure is presented as being mediated by Parasuraman's model, relating enterprise engineering guidelines and critical success factors. © 2018 Institute of Industrial Engineers (IIE). All rights reserved.

关键词： Critical success factors Enterprise engineering guidelines Performance measurement Service operations

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A modified gravitational search algorithm for continuous optimization 14

A modified gravitational search algorithm for continuous opt...

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16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion

作者： De, Emerson Hochsteiner Segundo, Vasconcelos Neto, Gabriel Fiori Da Silva, Andre Mendes Mariani, Viviana Cocco Dos Santos Coelho, Leandro Mechanical Eng. Grad. Program Pontifical Catholic University of Parana Curitiba PR Brazil Curitiba PR Brazil Mechatronics Engineering Undergraduate Program Pontifical Catholic University of Parana Curitiba PR Brazil Mechanical Engineering Graduate Program Pontifical Catholic University of Parana and Electrical Engineering Federal University of Parana Curitiba PR Brazil Industrial and Systems Eng. Graduate Program Pontifical Catholic University of Parana and Electrical Engineering Federal University of Parana Curitiba PR Brazil

ISBN: (纸本)9781450328814

The gravitational search algorithm (GSA) is a stochastic population-based metaheuristic inspired by the interaction of masses via Newtonian gravity law. In this paper, we propose a modified GSA (MGSA) based on logarithm and Gaussian signals for enhancing the performance of standard GSA. To evaluate the performance of the proposed MGSA, well-known benchmark functions in the literature are optimized using the proposed MGSA, and provides comparisons with the standard GSA.

关键词： Optimization

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Relationship Between Mechanical Deformation and Contact Force Applied by Catheter Tip on Cardiac Muscle: Experimentation and Computer Modeling 5

Relationship Between Mechanical Deformation and Contact Forc...

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5th IEEE Eurasia Conference on Biomedical engineering, Healthcare and Sustainability, ECBIOS 2023

作者： Ijima, Yukako Masnok, Kriengsak Perez, Juan J. Gonzalez-Suarez, Ana Berjano, Enrique Watanabe, Nobuo Master's Program Global Course of Engineering and Science Graduate School of Engineering and Science Shibaura Institute of Technology Saitama Japan Functional Control Systems Graduate School of Engineering and Science Shibaura Institute of Technology Biofluid Science and Engineering Laboratory Saitama Japan Universitat Politecnica de Valencia BioMIT Department of Electronic Engineering Valencia Spain School of Engineering University of Galway Translational Medical Device Lab Galway Ireland Functional Control Systems Graduate School of Engineering and Science College of Systems Engineering and Science Shibaura Institute of Technology Biofluid Science and Engineering Laboratory Department of Bio-Science and Engineering Saitama Japan

ISBN: (纸本)9798350320978

The cardiac muscle is elastic and deformable. Pushing a catheter in contact with the cardiac muscle surface to conduct focal energy-based ablative therapies, such as RF ablation, requires an adequate electrode-tissue contact surface to transfer the energy to the target site. In this regard, the relationship between the contact force (CF) and the resulting mechanical response is still unclear, in particular, the insertion depth (ID) and the diameter of the surface deformation. The objective of this study was to quantify these relationships using an ex vivo model and a computational model. A rigid bar with a 2.3 mm diameter blunt tip (mimicking a 7Fr standard ablation catheter) was placed at a perpendicular orientation on a fragment of the porcine heart. CF values ranged from 10 to 80g. We used ANSYS to build a Mooney-Rivlig model of 3 parameters based on hyperelastic material and to simulate the same conditions as in the experiments. The experimental results showed a strong linear correlation between CF and insertion depth ID ($\mathrm{R}^{2}=0.97, \mathrm{P} © 2023 IEEE.

关键词： Catheters

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Electromagnetic device optimization using improved differential evolution methods

Electromagnetic device optimization using improved different...

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12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006

作者： Coelho, Leandro Dos Santos Alotto, Piergiorgio Production and Systems Engineering Graduate Program Automation and Systems Laboratory Pontifical Catholic University of Paraná Imaculada Conccicao 1155 80215-901 Curitiba Paraná Brazil Dip. Ingegneria Eleurica University di Padova Italy

ISBN: (纸本)1424403200

Recently, evolutionary algorithms (e.g. genetic algorithms, evolutionary programming, and evolution strategies) have proven to be useful tools for the optimization of difficult problems in electromagnetics. Differential evolution (DE) is one comparatively simple variant of an evolutionary algorithm using floating-point encoding and few control parameters. This work presents improved DE algorithms based on linearly time varying control parameters, sinusoidal functions, and diversity analysis of population. © 2006 IEEE.

关键词： Electromagnets

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Non-linear predictive controllers for thermal comfort optimization and energy saving

Non-linear predictive controllers for thermal comfort optimi...

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作者： Freire, Roberto Z. Oliveira, Gustavo H. C. Mendes, Nathan Industrial and Systems Engineering Graduate Program PPGEPS Pontifical Catholic University of Paraná Curitiba/PR - 80215-901 Brazil Thermal Systems Laboratory LST Pontifical Catholic University of Paraná Curitiba/PR - 80215-901 Brazil

ISBN: (纸本)9783902661197

The present work is focused on the study of indoor thermal comfort control problem in buildings equipped with heating systems. The occupants' thermal comfort sensation is addressed here by a comfort index known as PMV (Predict Mean Vote). In this context, two control algorithms are proposed by using only-one-actuator system associated to the heating system. The methods are based on the model predictive control scheme and on the improvement of the PMV index together with energy minimization. Simulation results - obtained by using the weather data file for the city of Curitiba, Brazil - for two case studies: i ) variations between low and moderate occupants metabolic rates and ii) variations between moderate and high occupants metabolic rates are presented to validate the proposed methodology in terms of room air temperature, relative humidity and PMV control. Copyright © 2006 IFAC.

关键词： Thermal comfort

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A Machine Learning-Based Digital Twin Model for Pressure Prediction in the Fuel Injection System 48

A Machine Learning-Based Digital Twin Model for Pressure Pre...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Duarte, Edwin P. Viegas, Eduardo K. Santin, Altair O. Graduate Program in Computer Science PPGIa Pontificia Universidade Catolica Do Parana-Pucpr Brazil Robert Bosch GmbH Engineering Systems Curitiba Brazil Secure Systems Research Center Abu Dhabi United Arab Emirates

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

Over the last years, the engine calibration task has mostly been conducted based on the engineers' knowledge. As a result, considering the complexity of modern engines, finding the most suitable configuration for each situation has become an impractical and expensive task. Apart from causing engines to be produced with inadequate calibration configuration, it can also decrease the lifespan of their components, degrading their efficiency. This paper proposes a machine learning-based digital twin model for pressure prediction in a fuel injection system, split into two steps. First, we extract statistical engine features based on a predefined time window to represent the engine behavior over time. Second, a digital twin implemented through a machine learning model is used to predict pressure levels in the fuel injection system. As a result, the predicted values can be used to assist the engine common rail system module in avoiding undesired engine states. Experiments performed on a new dataset, built over a real diesel-based engine, consisting of 208 features and over 1.3 million instances, have shown the feasibility of our proposal. The proposed scheme can predict in an advance time of 0.1 seconds the pressure levels for a fuel injection system with only 0.057 RMSE. Moreover, it increases its error rate by only 10.6% if a 0.5-second time advance is required. © 2022 IEEE.

关键词： Machine learning

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Analysis Hierarchy Process In Real Problem Resolution In A Food Company 4

Analysis Hierarchy Process In Real Problem Resolution In A F...

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4th International Conference on Chemical engineering and Advanced Materials, CEAM 2014

作者： Mazia Rosa, Carla Regina Arnssteiner, Maria Teresinha Colmenero, JoãO Carlos PUCPR - Pontifical Catholic University of Paraná PPGEPS - Graduate Program in Production Engineeringand Systems R.ImaculadaConceição 1155 Curitiba Brazil PUCPR - Pontifical Catholic University of Paraná PPGEPS - Graduate Program in Production Engineeringand Systems R.ImaculadaConceição 1155 Curitiba Brazil UTFPR - Technological University Federal do Paraná - Campus Ponta Grossa PPGEP - Graduate Program in Production Engineering Av. Monteiro Lobato PontaGrossa Brazil

ISBN: (纸本)9783038352693

One of the most important aspects to be considered by Distribution Centers (DCs) is the improvement of the process in relation to the attributes of the service that is provided. The purpose of this article is to analyze various alternatives for the definition of a DC with the use of a method of multi-criteria support in decision making, more specifically, the Analytic Hierarchy Process (AHP) for the allocation and weighting of importance levels for structuring DCs. To further illustrate the process, a field study was conducted in a multinational company in the food sector. This enabled the identification of the best of three possible structures that were evaluated based on the criteria and sub-criteria targeted in the decision context. The results show that the cost and quality factors are primarily responsible for choosing the most appropriate alternative. © (2014) Trans Tech Publications, Switzerland.

关键词： Analytic hierarchy process

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