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IIE Annual Conference and Expo 2015

作者： Da Silva, Elias H.D. Ribeiro De Lima, Edson Pinheiro Da Costa, Sergio E. Gouvea Sant'Anna, Ângelo M. Oliveira Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Brazil Federal University of Technology - Parana Curitiba Brazil

ISBN: (纸本)9780983762447

Organizations have been striving to demonstrate to society their political of good social and environmental practices. Thus, socially responsible investments have been increasingly significantly, one of the reasons for increasing creation of indexes of corporate sustainability. Many studies have been done about the ISE - Corporate Sustainability Index - of BM&FBovespa, verifying if the portfolio composed of sustainable companies brings higher return to shareholders than other portfolios of regular companies. However, most of these researches focus on the stock value and there are few studies that give focus on fundamental analysis. The main purpose of this paper is to compare fundamentalist profitability indicators among a group of companies that compose the ISE index and a reference group, verifying if sustainable management improves business profitability and how it creates value for shareholders. The groups were compared and the evidences found show that despite the ISE have a differentiated theoretical portfolio, focused on social, environmental and ethical issues, the profitability of companies that compose the index is similar to or lower than the profitability of companies of the reference group. Nevertheless, the results show that the ISE Group has other ways to create shareholder value, as lower volatility and lower risk exposure.

关键词： Profitability

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FPGA implementation of the EKF algorithm for localization in mobile robotics using a unified hardware module approach

FPGA implementation of the EKF algorithm for localization in...

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International Conference on ReConFigurable Computing and FPGAs, ReConFig 2015

作者： Contreras, Luis Cruz, Sergio Motta, J.M.S.T. Llanos, Carlos H. Graduate Program in Mechatronic Systems Department of Mechanical Engineering University of Brasilia Brasilia D.F.70910-900 Brazil

ISBN: (纸本)9781467394062

In this paper a Hardware Architecture for computing the Extended Kalman Filter (EKF) is presented which is addressed to solve the self-localization problem of autonomous mobile robots. In this case, the overall EKF algorithm has been implemented in hardware over an Altera Cyclone IV FPGA with a Nios II processor, in which the latter is used only for interfacing and communication tasks. The achieved implementation has been adapted and applied to the mobile platform Pioneer 3AT (P3AT) for validation task. The prediction stage of the EKF algorithm was based on a dead-reckoning system model and the estimation stage on a measurement system which uses a sensor of Laser Range Finder (LRF). The proposed architecture has been designed considering a Unified Hardware Module approach using floating-point arithmetic operators, allowing the operations to be computed with large precision and dynamic range. Furthermore, several metrics have been used to evaluate the system performance, measuring both FPGA resources consumption, power consumption and execution time. Finally, the suitability of reconfigurable devices for such kind of applications has been verified and also discussed. © 2015 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Developing and testing a design process for sustainable indicators

Developing and testing a design process for sustainable indi...

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IIE Annual Conference and Expo 2014

作者： De Lima, Edson Pinheiro Machado, Carla G. Kluska, Rafael A. Hundzinski, Leandro N. Rocha, Letícia M. Da Silva, Elias H.D. Ribeiro Da Costa, Sergio E. Gouvea Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Brazil Federal University of Technology Parana Curitiba Brazil

ISBN: (纸本)9780983762430

In the last few decades the competitive context development trajectory is leading companies to increase their contribution for sustainable development. Stakeholders' accountability demands are being reflected in present multidisciplinary regulatory framework that is formed by standards, guidelines and guidance reports, and allows markets and society to have evidences from sustainable behavior, which is certified or formally agreed or signatory by companies. Operations strategy performance information could be addressed to a set of evolutionary performance indicators, which could represent sustainability present performance, and also could orient companies in reaching higher performance levels according to a preset maturity trajectory. The objective of this paper is to develop a process for generating an integrated set of performance measures for managing sustainability at value chain or operations system level. An applied research was conducted based on action research approach, operationalized by Cambridge process or engineering approach, and managed in research process management cycle. Performance measures are formally and detailed defined as metadata. Process application not only allows a better understanding on how sustainability indicators could be integrated and related to a maturity model, but also created an information system that could be used for auditing, assessment and reporting sustainability performance.

关键词： Sustainable development

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Dynamic Sampling-Based Meta-Learning Using Multilingual Acoustic Data for Under-Resourced Speech Recognition

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IEEE Access 2024年 12卷 106070-106083页

作者： Hsieh, I-Ting Wu, Chung-Hsien Zhao, Zhe-Hong National Cheng Kung University Graduate Program of Multimedia Systems and Intelligent Computing Tainan70101 Taiwan National Cheng Kung University Department of Computer Science and Information Engineering Tainan70101 Taiwan

Under-resourced automatic speech recognition (ASR) has become an active field of research and has experienced significant progress during the past decade. However, the performance of under-resourced ASR trained by existing methods is still far inferior to high-resourced ASR for practical applications. In this paper, speech data from languages that share the most phonemes with the under-resourced language are selected as supplementary resources for meta-training based on the Model-Agnostic Meta-Learning (MAML) strategy. Besides supplementary language selection, this paper proposes a dynamic sampling method instead of the original random sampling method to select support and query sets for each task in MAML to improve meta-training performance. In this study, Taiwanese is selected as the under-resourced language, and the speech corpus of five languages, including Mandarin, English, Japanese, Cantonese, and Thai, are chosen as supplementary training data for acoustic model training. The proposed dynamic sampling approach uses phonemes, pronunciation, and speech recognition models as the basis to determine the proportion of each supplementary language to select helpful utterances for MAML. For evaluation, with the selected utterances from each supplementary language for meta-training, we obtained a Word Error Rate of 20.24% and a Syllable Error Rate of 8.35% for Taiwanese ASR, which were better than the baseline model (26.18% and 13.99%) using only the Taiwanese corpus and other methods. © 2013 IEEE.

关键词： Speech recognition

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Maintenance integration in a control-monitoring architecture based on Petri net with objects. Application to a flexible manufacturing system

Maintenance integration in a control-monitoring architecture...

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2006 IEEE Conference on Emerging Technologies and Factory Automation, ETFA

作者： Loures, E. Rocha Busetti De Paula, M.A. Pascal, J.-C. Graduate Program in Production System Engineering PUCPR Curitiba Brazil Laboratory for Analysis and Architecture of Systems LAAS/CNRS Toulouse France

ISBN: (纸本)1424406811

The problem of failure occurrence in flexible manufacturing systems (FMS) tends to increase according to their complexity leading to time-consuming tasks as the localisation and repairing. The occurrence of failures during the exploitation stage can deeply modify the FMS performances or its availability. We want to investigate the maintenance integration into a control-monitoring framework, from the control system's early design stage to the maintenance policies execution, so as to improve production time and minimize unplanned costly breakdowns of FMS. This paper proposes a modular and hierarchic control-monitoring-maintenance architecture (CMM) for FMS based on Petri nets with objects (PNO). These efforts acts as a basis for the control architecture of a robot-driven flexible cell, connected to the Ethernet-TCP/IP. © 2006 IEEE.

关键词： Flexible manufacturing systems

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Sub-optimal Perceptron Controller Using WOA Algorithm for Farming Watering Mobile Robot

Sub-optimal Perceptron Controller Using WOA Algorithm for Fa...

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2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024

作者： Pastrana, M.A. Oliveira, L.H. Bautista, J. Pinto-Lopera, Jesus Mendoza-Penaloza, Jose Munoz, Daniel M. University of the Amazonia Faculty of Engineering Systems Undergraduate Program Florencia Caquetá Colombia University of Brasilia Mechatronics Graduate Program Department of Mechanical Engineering Brasilia Brazil University of Brasilia Faculty of Gama Electronics Engineering Undergraduate Program Brasilia Brazil

ISBN: (纸本)9798350374575

Artificial neural networks (ANNs) are intricate mathematical models, drawing inspiration from the biological nervous system, and offering intelligence alongside nonparametric capabilities. The efficacy of ANNs heavily relies on their learning process. Heuristic search algorithms have been proposed in literature as reliable options for optimizing neural networks utilizing the Perceptron architecture. This paper presents an suboptimal neural network Perceptron training method employing the Whale Optimization Algorithm for the application of farming watering mobile robots. To achieve this, a fitness function based on system responses such as overshoot, settling Time, and steady-state Error was developed. The sub-optimal Perceptron controller was then implemented using MATLAB, CoppeliaSim software and the EVA robot, resulting in a 66.17% overshoot, a 4.7% steady-state error, and a settling time of 3.05 seconds. Moreover, the sub-optimal Perceptron controller was mapped onto a System on Chip FPGA AMD-Xilinx Zynq 7020, resulting in a hardware resources consumption of 1,870 (3.52%) Lookup table, 2 (0.9%) Digital Signal Processing blocks, 1,019 (0.96%) Flip-Flops and a power consumtion of 0.005 W. Finally, Hardware-in-The-Loop validation was performed using CoppeliaSim, Python, Universal Direct Memory Access, and the EVA robot. The results showed an overshoot of 94.83%, a settling time of 2 seconds, and a steady-state error of 4.5%. © 2024 IEEE.

关键词： MATLAB

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A study on estimation of traveling direction for pedestrian dead reckoning by using inertial sensors 9

A study on estimation of traveling direction for pedestrian ...

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9th IEEE Global Conference on Consumer Electronics, GCCE 2020

作者： Matsumoto, Takumi Fujii, Masahiro Utsunomiya University Graduate Program in Information Electrical and Electronics Systems Engineering 7-1-2 Yoto Utsunomiya Tochigi Japan

ISBN: (纸本)9781728198026

In this paper, we propose a new method to estimate the traveling direction for pedestrian by applying IMU (Inertial Measurement Unit) and PCA (Principal Component Analysis) to sensor information from a smartwatch. Because a result of PCA do not have orientation information, an estimate of the traveling direction includes an indeterminacy problem. We show that the proposed method can solve this problem and provide high accuracy in the traveling direction estimation by walking experiments. © 2020 IEEE.

关键词： Principal component analysis

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Hardware Architecture of the EKF Prediction Stage applied to mobile robot localization 6

Hardware Architecture of the EKF Prediction Stage applied to...

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6th IEEE Latin American Symposium on Circuits and systems, LASCAS 2015

作者： Contreras, Luis Cruz, Sérgio Motta, J.M.S.T. Llanos, Carlos H. Graduate Program in Mechatronics Systems Department of Mechanical Engineering University of Brasilia Brasilia D.F.70910-900 Brazil

ISBN: (纸本)9781479983322

This work presents an FPGA-based Hardware Architecture to implement the Prediction Stage of the Extended Kalman Filter (EKF) applied to the localization problem in mobile robotics. The algorithm has been implemented and run on an Altera Cyclone IV FPGA with a Nios II processor, being adapted and applied to the mobile platform Pioneer 3AT (P3AT). The prediction stage was based on a dead-reckoning system model and its architecture was designed for floating-point representation. In this project the complete EKF was also implemented considering an estimation stage hardware architecture previously developed using a Laser Range Finder (LRF) sensor, producing an overall balanced implementation. Finally, it was evaluated the system performance and suitability, measuring FPGA resources consumption and comparing execution time with a software solution. © 2015 IEEE.

关键词： Extended Kalman filters

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Optimal Indirect Power Predictive Controller in the Alpha-Beta Reference Frame for Grid-Connected Converters

Optimal Indirect Power Predictive Controller in the Alpha-Be...

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2019 FISE-IEEE/CIGRE Conference - Living the Energy Transition, FISE/CIGRE 2019

作者： Murillo-Yarce, D. Marulanda-Durango, J.J. Mejía, A. Escobar Alzatc-Gómez, A. Engineering Systems Faculty of Engineering Universidad de Talca Curicó Chile Electrical Engineering Graduate and Undergraduate Program Universidad Tecnológica de Pereira Pereira Colombia

ISBN: (纸本)9781728142302

This article presents an indirect power predictive optimal controller applicable to grid-connected converters. The VSI converter is used as an interface between distributed generators, energy storage systems and the ac-grid. The objective of the research project is to develop a controller with high static and dynamic features, that performs with low computational burden and low switching stress. The first step to develop the controller is to select the appropiate reference frame. The αβ frame is used for its simple structure and easy implementation. Then, the proposed methodology consider the controller performance to define the sampling period, the prediction horizon and the switching pattern. Results show that an increment in the sampling period results in a major harmonic content, and if the prediction horizon increases, the number of calculations is higher without improving the controller performance. The main features of the proposed controller are: low sampling times and a two-steps prediction horizon. With these features the VSI efficiency rises, while the systems's losses and harmonic distortion are reduced. © 2019 IEEE.

关键词： Controllers

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Studying operations strategy through cause and effect correlation 24

Studying operations strategy through cause and effect correl...

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24th International Conference on Production Research, ICPR 2017

作者： Okoshi, C.Y. de Lima, E. Pinheiro da Costa, S.E. Gouvêa Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Rua Imaculada Conceição 1155 Prado Velho Curitiba Parana Brazil Industrial and Systems Engineering Graduate Program Federal University of Technology - Parana Via do Conhecimento km 1 Pato Branco Parana Brazil

ISBN: (纸本)9781605955070

The companies use the performance results to identify their main problems and to analyse the cause roots in their production systems, supplier network and process technology. The purpose of this paper is to analyze cause and effect relationships among the performance dimensions and decision areas in the framework of operations strategy. The explored dataset is a research project named 4th Round of High Performance Manufacturing Project. The dataset holds indicators from 304 manufacturing companies in 13 countries. The techniques used for the analysis were descriptive statistics, normality test, factor analysis, and Multiple Linear Regression. As main results, the following cause and effect correlations for each manufacture performance dimension were found: innovation, flexibility, quality, cost, speed, and reliability. The results support the building of cause and effect diagrams regarding performance dimensions and decision areas to be used on improvements to the companies. © 2017 DEStech Publications. All rights reserved.

关键词： Manufacture

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