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23rd International Conference for Production Research, ICPR 2015

作者： Machado, Carla Gonçalves Pinheiro De Lima, Edson Gouvea Da Costa, Sergio Eduardo Angelis, Jannis Jan Mattioda, Rosana Adami Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba80215-901 Brazil Federal University of Technology - Parana Curitiba80230-901 Brazil Department of Industrial Management Royal Institute of Technology - KTH Stockholm100 44 Sweden

Business sustainability integration is a complex task and strongly linked to operations management. The challenge is to conduct more sustainable operations through companies? value chain and their network. In sustainable operations management area, maturity models have been developed for specific purposes. However, there is a lack of models that considers sustainability integration through the evolution of sustainable operations? capabilities. Based on literature review, case studies and expert panels, this paper develops and proposes a maturity framework defined by sustainable operations management theory. Its is possible to identify an evolutionary path, which goes from an initial approach focused in compliance aspects and firm?s value protection to an innovative approach, based on corporate social responsibility supporting operations? integration in a sustainable system, and long-term values development. The experts? panel identified key processes areas that need to be prioritized in each level, and also analyzed the adaptation of some elements from Capability Maturity Model Integration (CMMI) to sustainable maturity framework design and development.

关键词： Sustainable development

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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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Study of the relevance of gender in the classification of hand gestures by electromyography-based recognition systems

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Research on Biomedical engineering 2021年第2期37卷 361-373页

作者： Freitas, Melissa La Banca Junior, Jose Jair Alves Mendes La Banca, Wesley Freitas Stevan, Sergio Luiz Graduate Program in Electrical Engineering Federal University of Technology – Paraná Ponta GrossaParaná84016-210 Brazil Department of Electronics Federal University of Technology – Paraná CuritibaParaná80230-901 Brazil Mechanical Engineering Department Federal University of Technology – Paraná Ponta GrossaParaná84016-210 Brazil

Purpose: Some factors such as gender, age, physical fitness, and manual dominance are relevant and can influence the recognition of movement patterns using electromyography (EMG). In this scenario, we present an EMG signal analysis for men and women to observe if there is any significant difference. Methods: Data from 10 men and 10 women were acquired during the execution of six hand gestures (wrist flexion, wrist extension, wrist flexion to left, wrist extension to right, supination, and pronation) using eight channels armband. Four EMG time-domain signal features were extracted and hand gestures were classified using linear and quadratic discriminant analysis (LDA, QDA), and k-nearest neighbors (KNN) algorithms. Results: Data of the feature difference absolute standard deviation value (DASDV) and waveform length (WL) were analyzed based on polar and bar graphs. KNN with 1 nearest neighbor obtained the best results between the classifiers for both men and women. For statistical analyses, the Wilcoxon-Mann-Whitney and Tukey post hoc in Friedman tests were used. The results show that there is no significant difference between data from different genders. Conclusion: After analyzing the results obtained and extensive comparison with related works, it was concluded that, for the conditions where the electrodes are positioned equidistantly, evaluating all the muscular groups of a limb (armband format), there was no significant difference observed between the data from different genders. In addition, this allows us to conclude that EMG armband on the forearm can be a good option for robotic systems control without the need for prior gender adjustment. © 2021, Sociedade Brasileira de Engenharia Biomedica.

关键词： Biomedical signal processing

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Vibration analysis of a cantilever beam with viscoelastic neutralizers using fiber bragg gratings 17

Vibration analysis of a cantilever beam with viscoelastic ne...

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17th SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference, IMOC 2017

作者： Linessio, Rafael Pomorski Da Silva, Jean Carlos Cardozo Dos Santos Tavares, Lucas Henrique Da Silva, Thiago Bavastri, Carlos Alberto Federal University of Technology-Parana Graduate Program in Electrical and Computer Engineering Av. Sete de Setembro 3165 Curitiba-PR-ZIP80.230-910 Brazil Federal University of Parana Graduate Program in Mechanical Engineering Av. Coronel Francisco Heraclito dos Santos 100 Curitiba-PR ZIP81.531-980 Brazil

ISBN: (纸本)9781509062416

In this paper the vibration analysis of a cantilever beam with viscoelastic neutralizer using fiber Bragg gratings (FBG) is presented. The optimal design, of the neutralizer, is achieved through a robust methodology developed by the Research Group on Vibrations and Sound in mechanical systems (GVIBS) at Federal University of Parana (UFPR). Such methodology uses the Finite Element Method (FEM) to obtain the modal analysis of the system that will be controlled. The Generalized Equivalent Parameters (GEP) and Nonlinear Optimization Techniques (NLOT) are applied. The viscoelastic neutralizer was projected to control the range of frequency 250 Hz to 470 Hz. To verify the efficiency of the neutralizer the response of the FBG was compared with the response of the piezoelectric accelerometer. Both systems were positioned close to the clamped part of the beam. The analysis presents the efficiency of the viscoelastic neutralizer, proven by decrease of amplitude for the analyzed range when using the optical technique (25 dB) and traditional sensor (32 dB). This study allows validating the effectiveness of the vibration measurements of the FBG to the viscoelastic neutralizers projects. © 2017 IEEE.

关键词： Cantilever beams

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A Framework of Risk Profile in Public Healthcare System Development: A Literature Review 2nd

A Framework of Risk Profile in Public Healthcare System Deve...

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2nd International Symposium on Disaster Resilience and Sustainable Development, 2021

作者： Krutphong, Kodchakorn Tang, Jing Leelawat, Natt Department of Industrial Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Disaster and Risk Management Information Systems Research Unit Chulalongkorn University Bangkok Thailand Risk and Disaster Management Program Graduate School Chulalongkorn University Bangkok Thailand International School of Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9789811947148

Risk profile has been utilized in a variety of knowledge fields beyond disaster management or risk management it also plays as the tools in assessment process before the planning both in operation and *** public healthcare system is considered as one of the most critical stakeholders during crises such as disasters and *** risk profile in the public healthcare system requires experts to help developing it according to its *** to a limited number of reviews in the field, this review study focuses on the public healthcare system risk profile’s guideline and development from well-known research *** study also provides the SWOT analysis to realize the strengths, weaknesses, opportunities, and threats of each specific guideline for further *** research results found the ratio of the research in the keywords of the risk profile mostly in the field of medicine and rising number since 2011–*** order to develop the risk profile in such a specific area, it is necessary to use the strength part which suits with the appropriate area. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Risk management

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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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An empirical approach to the identification of sources of machining errors in ultra-precision raster milling

An empirical approach to the identification of sources of ma...

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作者： To, Suet Wang, Hao Li, Bing Cheung, Chi Fai Department of Industrial and Systems Engineering Hong Kong Polytechnic University Hong Kong Hong Kong Department of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen Graduate School China

Ultra-precision raster milling is one of the most significant techniques for the fabrication of high precision components with the surface roughness less than 10nm and form errors less than 0.2 um, without the need for any subsequent polishing. However, no matter how well a machine may be designed. there is a limit to the accuracy that can be achieved. This paper studies the machining errors caused by the diamond tool and the axis motions using Freeform 705G. With an empirical approach, the error sources are separated based on their effects on the surface finish. The main source leading to poor surface finish is identified. This establishes a basis for subsequent error compensation and equipment maintenance.

关键词： Milling (machining)

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Capacity Planning of Access Point Deployment for Indoor Positioning System

Capacity Planning of Access Point Deployment for Indoor Posi...

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2021 International Conference on Power, Energy and Innovations, ICPEI 2021

作者： Thitinaruemit, Aphirak Sitjongsatapom, Suchada Prongnuch, Sethakarn Mahanakorn University of Technology The Electrical Engineering Graduate Program Faculty of Engineering and Technology Bangkok Thailand Faculty of Engineering and Technology Dept. of Electronic Engineering Bangkok Thailand Suan Sunandha Rajabhat University Faculty of Industrial Technology Dept. of Computer Engineering Bangkok Thailand

ISBN: (纸本)9781665402163

This paper present the network design and capacity planning of access point (AP) deployment for indoor positioning system. The estimation of WiFi distance is described briefly how to measure the signal strength of AP. Co-channel interference is a key for network design of access point installation for network capacity. The objective function for network capacity planning of AP deployment is to optimize the number of access point and location for indoor positioning system concerning with the minimized co-channel interference. Simulations are tested to install AP for lecture hall in university. Capacity planning design of wireless AP deployment is proposed for indoor position systems in terms of the received signal strength indications (RSSI). We assume the situation is supported for the crowded conference. The requirement of the results of wireless AP positioning in crowded conference rooms are placing the wireless AP in forms of overlap the signal in order to get the strong signal. Experimental results have been tested their received signal of WiFi APs with the 2.4GHz frequency using the receiver installed in laptops to check the signal. The empirical results shown that the strength of RSSI will be received a signal of -44 dBm at a distance of approximately 20 meters. © 2021 IEEE.

关键词： Signal receivers

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The influence of microwave time on green synthesis of silver nanoparticles using Seminyak (Champeria sp.) leaf extract

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AIP Conference Proceedings 2025年第1期3248卷

作者： Muhammad Bagas Ananda Tami Bachrurozy Sarah Adilah Azmi Valentinus Alphano Dabur Arie Wibowo Department of Materials and Metallurgical Engineering Faculty of Industrial Technology and Systems Engineering Institut Teknologi Sepuluh Nopember Surabaya 60111 Indonesia Magister Nanotechnology Graduate School Institut Teknologi Bandung Jl. Ganesha No. 10 Bandung 40132 Indonesia Materials Science and Engineering Research Group Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Jl. Ganesha 10 Bandung 40132 Indonesia Research Center for Nanosciences and Nanotechnology Institut Teknologi Bandung Jl. Ganesha 10 Bandung 40132 Indonesia

The utilization of green synthesis methods for the production of silver nanoparticles (AgNPs) has gained attention due to their eco-friendly nature. However, it is important to acknowledge a limitation of green synthesis approaches, which often involves longer reaction times compared to conventional methods. In this context, microwave-assisted synthesis emerges as an effective strategy to address this challenge, thanks to its rapid and efficient heating. In this study, the influence of microwave time on the synthesis of AgNPs using Seminyak (Champeria sp.) leaf extract as a reducing and stabilizing agent was observed. The microwave time was systematically varied at intervals of 1, 3, and 5 minutes to evaluate its effects on the size and morphology of the resulting AgNPs. Based on UV Vis spectrophotometry results, a broader peak with the tendency for the peak to shift towards higher wavelengths was observed as the microwave irradiation time increased, indicating the increment of AgNPs particle size. The transmission electron microscopy (TEM) results confirmed previous results where extended microwave time led to a gradual augmentation of nanoparticle size from 26.8 ± 10.9 nm for 1 min to 35.6 ± 9.4 nm for 3 min, while 5 min microwave time produce the formation of agglomerated AgNPs.

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Faster Algorithms for a Lexicographic Bi-Criteria Line Balancing Problem with Totally Ordered Precedence Constraints 13

Faster Algorithms for a Lexicographic Bi-Criteria Line Balan...

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Joint 13th International Conference on Soft Computing and Intelligent systems and 25th International Symposium on Advanced Intelligent systems, SCIS and ISIS 2024

作者： Imahori, Shinji Karuno, Yoshiyuki Ueda, Yuma Chuo University Faculty of Science and Engineering Tokyo Japan Kyoto Institute of Technology Faculty of Mechanical Engineering Kyoto Japan Graduate School of Science and Technology Kyoto Institute of Technology Mechanodesign Program Kyoto Japan

ISBN: (纸本)9798350373332

The line balancing has been an important production strategy which aims at redressing the balance of workloads on machines in an assembly type of production system. In this paper, a lexicographic bi-criteria optimization model of the line balancing is revisited for a mass-production of one homogeneous product. A sequence of machines and a totally ordered set of tasks are given. The machines are considered to be situated along with a production line, according to their sequence. Precedence relations between tasks are specified by the total order of tasks. The task set also consists of a given number of disjoint subsets, namely categories such that tasks in a category are considered to constitute a certain kind of family of technical skills. Each task has a positive processing time and a category index. A solution to the problem is expressed by an assignment of tasks to machines, and for the feasibility of a solution, the assignment must obey the totally ordered precedence constraint on tasks. The sum of processing times of tasks assigned to a machine in a feasible solution is the load of the machine, and the number of category indexes of tasks assigned to a machine is referred to as the degree of diverseness of the task subset. The primary objective of the problem is to minimize the maximum machine load, and the second objective is to minimize the maximum degree of diverseness of tasks assigned to a machine. The lexicographic bi-criteria line balancing problem with totally ordered precedence constraints has been known to admit a polynomial time exact algorithm, whose time complexity is linear in the number of machines and squared in the number of tasks. In this paper, a faster polynomial time exact algorithm is proposed, which improves the time complexity to be squared in the number of tasks. © 2024 IEEE.

关键词： Polynomial approximation

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