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1st International Conference on industrial Automation, Smart Grid and its Application, ICIASGA 2020

作者： Porawati, H. Kurniawan, A. Yuliwati, E. Study Program of Mechanical Engineering Politeknik Jambi Jambi Indonesia Graduate Program of Chemical Engineering Universitas Muhammadiyah Palembang Indonesia Program Study of Chemical Engineering Faculty of Engineering Universitas Muhammadiyah Palembang Indonesia

Biomass gasification converts into syngas through the gasification process is promising for renewable energy utilization. Although gasification is a sustainable and environmentally-friendly technology for value-added utilization of biomass, yield percentage is the major problem during biomass gasification. An optimized gasifier and highly active catalyst were proved to be effective for biomass production. Furthermore, the decomposition pathway was also important to advance the gasification reactors and catalyst design. This paper summarized the fundamentals, such as gasifier types, zeolite catalysts, and reaction and deactivation mechanisms. This review also sheds light on other excellent catalysts, effective gasifier, and catalyst reaction mechanisms are also discussed in detail. At last, the paper ends with a conclusion and a prospective discussion of the lab-scale research. At the contact time of 240 minutes, with a column height of 30 cm, at a temperature of 450 oC, the concentration of syngas promise well. © Published under licence by IOP Publishing Ltd.

关键词： Gasification

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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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Bubble breakup in an expansion mediated microfluidic channel 23

Bubble breakup in an expansion mediated microfluidic channel

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23rd International Conference on Miniaturized systems for Chemistry and Life Sciences, MicroTAS 2019

作者： Salari, Alinaghi Xu, Jiang Kolios, Michael C. Tsai, Scott S.H. Canada Biomedical Engineering Graduate Program Ryerson University Canada Department of Mechanical and Industrial Engineering Ryerson University Canada Department of Physics Ryerson University Canada

ISBN: (纸本)9781733419000

Here, we report a bubble breakup regime that is mediated by a sudden channel expansion in a microfluidic device. Bubbles generated at a cross-junction periodically break into smaller daughter bubbles, upon entering an expansion region. We characterize the breakup mechanism, identify the dimensionless numbers, and show that the output population of our device can be mono-, bi-, or tri- disperse, if the dimensionless parameters are tuned accordingly. These findings can be valuable for the development of bubble- or droplet-based lab-on-a-chip technologies. © 2019 CBMS-0001.

关键词： Microfluidics

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Economic dispatch optimization using hybrid chaotic particle swarm optimizer

Economic dispatch optimization using hybrid chaotic particle...

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2007 IEEE International Conference on systems, Man, and Cybernetics, SMC 2007

作者： Dos Santos Coelho, Leandro Mariani, Viviana Coceo Industrial and Systems Engineering Graduate Program - PPGEPS Automation and Systems Laboratory Pontifical Catholic University of Paraná Imaculada Conceição 1155 80215-901 Curitiba Paraná Brazil Pontifical Catholic University of Paraná Mechanical Engineering Graduate Program PUCPR/PPGEM Imaculada Conceição 1155 80215-901 Curitiba Paraná Brazil

ISBN: (纸本)1424409918

Particle swarm optimization (PSO) is a population-based stochastic optimization technique, originally developed by Eberhart and Kennedy, inspired by simulation of a social psychological metaphor instead of the survival of the fittest individual. In PSO, the system (swarm) is initialized with a population of random solutions (particles) and searches for optima using cognitive and social factors by updating generations. PSO has been successfully applied to a wide range of applications, mainly in solving continuous nonlinear optimization problems. Based on the PSO and chaos theories, this paper discusses the use of a chaotic PSO approach hybridized with an Implicit Filtering (IF) technique to optimize performance of economic dispatch problems. The chaotic PSO with chaos sequences is the global optimizer and the IF is used to fine-tune the chaotic PSO run in sequential manner. The hybrid methodology is validated for a test system consisting of 13 thermal units whose incremental fuel cost function takes into account the valve-point loading effects. © 2007 IEEE.

关键词： Particle swarm optimization (PSO)

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Assessing industry 4.0 technology deployment projects

Assessing industry 4.0 technology deployment projects

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

作者： Beller, Cassiano Souza Muncinelli, Gianfranco De Lima, Edson Pinheiro Deschamps, Fernando Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Federal University of Technology - Parana Curitiba Brazil Department of Mechanical Engineering Federal University of Parana Curitiba Brazil

Industry 4.0 has recently become an ubiquitous topic of study both by academics and practitioners. Beyond the technology application domain, one major issue that most organizations have to face when structuring their efforts towards Industry 4.0 is the identification of viable opportunities for the deployment of Industry 4.0-related technologies. Proof of concept projects are usually developed to address this, as they are an exploratory means to quickly assess the application of a given technology to a specific context. If results are positive, these projects may grow into larger projects that will be used to deploy the considered technologies in a wider scale. This work aims to propose a framework that helps facilitate the assessment of proof of concept projects and their transition into wider scale projects. This framework is based both in the existing literature on Industry 4.0 technologies and in case studies of proof of concept projects that were used to assess such technologies. The framework is composed of three main components: the technologies being evaluated, the design objectives that they meet and the outcomes that are expected. The relationships among these components is also considered, and a process that mediates their use is proposed. © 2018 Institute of industrial Engineers (IIE). All rights reserved.

关键词： Project management

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Developing a big data/analytics project: A case study in the auto industry 67

Developing a big data/analytics project: A case study in the...

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67th Annual Conference and Expo of the Institute of industrial Engineers 2017

作者： De Oliveira Cordeiro, Gabriel Deschamps, Fernando De Lima, Edson Pinheiro 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

ISBN: (纸本)9780983762461

For an organization to develop a sustainable position in today's competitive and volatile market, efforts in increasing its maturity of Industry 4.0 thinking and implementation need to be performed. Inside the context of Industry 4.0, the Internet of Things (IoT) and Big Data/Analytics are concepts that are receiving an increased attention of both academics and industry practitioners. However, their implementation is challenging and requires a high level of competences, both in skilled labor and financial resources related to technology selection and implementation. There is a diversity of scenarios in which those two concepts can be applied, especially in large manufacturing enterprises, where large amounts of data are generated, and need to be interpreted, helping managers make better decisions. Hence, it is necessary to organize and better structure projects that conceive, manage, develop and implement IoT and Big Data/Analytics technologies. The objective of this study is to develop a case study presenting the architecture of a small IoT and Big Data/Analytics project in an automotive company. Results suggest that to promote such projects in a larger scale, organizations need to greatly enhance their infrastructure to develop the necessary integration between IoT components and Big Data/Analytics tools.

关键词： Big data

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Multiobjective Cuckoo Search Applied to Radial Basis Function Neural Networks Training for System Identification

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IFAC Proceedings Volumes 2014年第3期47卷 2539-2544页

作者： Helon Vicente Hultmann Ayala Leandro dos Santos Coelho Industrial and Systems Engineering Graduate Program (PPGEPS) PUCPR Curitiba Brazil Electrical Engineering Graduate Program (PPGEE) UFPR Curitiba Brazil

In the present work we introduce a system identification framework where no a priori information on the system to be identified is available. Focusing in the specific case of radial basis functions neural networks models, we insert the choice of the model complexity and its inputs in the optimization procedure together with the model parameters, aiming at accuracy, model validity and regularization in a multiobjective approach. The multicriteria problem is solved by means of the multiobjective cuckoo search, which is based on an archiving technique and the crowding distance metric. Simulation results are promising when the methodology is applied to identify a robot arm given solely input and output data.

关键词： System Identification Multiobjective optimization Cuckoo Search Multiobjective Cuckoo Search Neural Networks Radial Basis Functions Robotics

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Manufacturing strategy design process improvement through enterprise engineering recommendations

Manufacturing strategy design process improvement through en...

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IIE Annual Conference and Expo 2015

作者： Moura, Louisi Francis De Lima, Edson Pinheiro Deschamps, Fernando Da Costa, Sergio E. Gouvea Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Federal University of Technology - Parana Curitiba Brazil Department of Mechanical Engineering Federal University of Parana Curitiba Brazil

ISBN: (纸本)9780983762447

The manufacturing strategy design process is crucial for an organization's competitiveness because of its role in bridging the gap between strategy and operations. The dynamic and ever-changing nature of today's businesses makes this a difficult task, extremely influenced by internal and external factors. There is a need for a method that can provide the manufacturing function new attributes for its strategy development as a dynamic model that operates in a complex environment. This work addresses this concern by analyzing a well-established framework for manufacturing strategy design composed of six parts and based on a process approach. The analysis is carried out by considering the alignment of the aims of each of the parts of this framework to a set of enterprise engineering guidelines, that determine how well-structured the process from this framework is. Guidelines verify process formalization, process organizational structure, process synchronization, explicit considerations of performance expectations, exception handling, and incorporation of change and improvement mechanisms. The study reveals that there are some gaps in the process regarding the guidelines and further, suggests improvements in it to fill these gaps. The paper develops new aims to the analyzed manufacturing strategy design framework and shows its relevance to the process. This represents advancement to operations management by proposing a reviewed view of the manufacturing strategy design process through an enterprise engineering perspective. Moreover, it presents a process that can contribute to organizations that intend to develop a customized model, adapted to its reality that conciliates external and internal visions, the dynamics of its environment, and the consideration of quanti-qualitatively activities that recognizes all involved stakeholders.

关键词： Competition

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The financial impact of using RFID in healthcare

The financial impact of using RFID in healthcare

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2012 IEEE International Conference on industrial engineering and engineering Management, IEEM 2012

作者： Kattan, Ibrahim Al Anjamrooz, Taha Engineering Systems Management Graduate Program College of Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781467329453

This paper is emphases on the financial impact of RFID system on the healthcare. The main obstacle of RFID implementation is the high costs hence the area of application must be very selective. We decide on the Obstetrics and Gynecology Department (OGD), where the patient has many visits during three different periods: Pregnancy, Delivery and after Childbirth. This research conducted over two years to collect real data for two different scenarios, traditional versus RFID systems. The reductions in waiting times for each period are valued into money. The RFID technology can significantly improve the processing times associated with medical record retrieval, dispensing medication, personnel management and billing. This analysis is planned for a period of 5 years with discount rate of 4%. Finally, the net present value concept is applied in order to compare the financial benefit of two systems and to obtain the payback period. © 2012 IEEE.

关键词： Obstetrics

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Sustainable procedures audit structural model proposition 22

Sustainable procedures audit structural model proposition

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22nd International Conference on Production Research, ICPR 2013

作者： Pereira, Everaldo Antonio R. De Lima, E. Pinheiro Gouvea Da Costa, S.E. Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Imaculada Conceicao St. 1155 Curitiba Parana Brazil

The paper proposes a model for expanded audit of operations strategy that considers the social, economic and environmental in the process of formulation and review of evidence to validate a sustainable operation. The proposed model calls for the operations strategy of an organization should be linked to 3 vertices: sustainability of operations, strategic indicators and auditing. A management audit aims to provide a thorough analysis of the company taking into account the effects of the changes caused by uncontrollable external variables and thus the challenge of being the first international standard for managing corporate responsibility, focusing on audit and social reporting, the AA1000, presents a strategic integration of sustainability indicators that, using the principles of management audit, planning determines an audit to validate sustainable operations. Thus, the main contribution of this work to the operations strategy is to propose an extensible model that allows auditing incorporate the new demands that are imposed on managers dynamically, but that meet the high performance sustainable.

关键词： Sustainable development

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