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8th International Conference on engineering and Emerging Technologies, ICEET 2022

作者： Recto, King Harold A. Escoto, Miguel T. Hernandez, Noel B. Ateneo de Manila University Department of Electronics Computer and Communications Engineering Quezon City Philippines Electrical and Electronics Engineering Institute University of the Philippines Diliman Quezon City Philippines Centro Escolar University Post-doctoral Program in Quality Management of the Graduate School Manila Philippines

ISBN: (纸本)9781665491068

The green transition has brought about a worldwide-shift to the use of renewables as alternative energy sources. Because of this, high voltage DC has been a field of interest in power electronics due to its capability in efficiently transmitting power to reach remote areas. Typical DC-DC electronic power converter design has the capability of boosting voltage level to a certain extent but not enough for high-voltage applications. Using the DMAIC Approach of the Six Sigma, quality improvements in the design was proposed to stabilize operating frequency, bring up the output voltage from 100 VDC to 4,000 VDC and provide at least 10% margin of error in the apparent power measured at the output side to offset inherent losses in the electrical design. These proposed quality improvements were sustained by designing a control circuit that would ensure the attainment of the parameters set in the Define Phase of the DMAIC Approach. The result of the study is a practical 12 VDC to 4,000 VDC boost converter design that has incorporated all the proposed quality improvements. © 2022 IEEE.

关键词： Six sigma

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Efficient Utilization of Metaheuristic Techniques for Profit Maximization in Combinatorial Production Planning: A Comparative Study

Efficient Utilization of Metaheuristic Techniques for Profit...

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International Conference on Control, Instrumentation, Energy and Communication (CIEC)

作者： Arijit Mukherjee Surojit Mukherjee Deptartment of Electrical Engineering Future Institute of Technology Kolkata India Post-Graduate Program in Management Great Lakes Institute of Management Chennai India

Efficient production planning requires well-structured models compatible with metaheuristic and other optimization techniques. This study compares three established metaheuristic methods - sanitized-teaching-learning-based optimization (s-TLBO), Particle Swarm Optimization (PSO), and Differential Evolution (DE) with a termination criterion of equal number of functional evaluations - for profit-maximizing production planning. The focus is on a single-level problem involving complex constraints, non-linear costs, budget and raw material limitations. The paper presents two solution strategies: a penalty-based and a correction-based approach. Analyzing 300 unique instances of the problem reveals that s-TLBO implemented with correction-based approach consistently outperforms the other methods in devising optimal production plans for two Saudi Arabian petrochemical industries with 24 products, 54 processes, and three raw materials for plant 1 and two raw materials for plant 2.

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Optimal Integration of Metaheuristic Techniques with Correction-Based Approaches for Profit Maximization in Combinatorial Production Planning: A Comparative Analysis

Optimal Integration of Metaheuristic Techniques with Correct...

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International Conference on Control, Instrumentation, Energy and Communication (CIEC)

To enhance production planning efficiency, it’s crucial to have well-structured models that align with metaheuristic and other optimization techniques. This research conducts a comparative analysis of three unique metaheuristic methods: sanitized-teaching-learning-based optimization (sTLBO), Particle Swarm Optimization (PSO), and Differential Evolution (DE) with a termination criterion of equal number of functional evaluations. The primary focus lies on profit-maximizing production planning within a single-level framework, encompassing intricate domain constraints, nonlinear costs, budget limitations and raw material constraints. The paper introduces three correction-based solution approaches. Upon evaluating 300 distinct instances of the problem, the study reveals that s-TLBO integrated with correction-based approach 1 and 3 consistently outperforms the other methods when it comes to devising optimal production plans for a Saudi Arabian petrochemical industry. This industry scenario involves 24 products, 54 processes, and three raw materials.

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Stochastic multi-objective optimization of hybrid distributed power generation with battery storage systems

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Energy Sources, Part B: Economics, Planning, and Policy 2025年第1期20卷

作者： Aglaucibelly Maciel Barbosa Paulo Rotella Junior Rogério Santana Peruchi Luiz Célio Souza Rocha Arthur Leandro Guerra Pires Karel Janda a Post-Graduate Program in Production Engineering and Systems Federal University of Paraiba João Pessoa Brazil b Department of Production Engineering Federal University of Paraiba João Pessoa Brazilc Faculty of Finance and Accounting Prague University of Economics and Business Prague Czech Republicd Institute of Economic Studies Faculty of Social Sciences Charles University Prague Czech Republic b Department of Production Engineering Federal University of Paraiba João Pessoa Brazil e Management Department - Federal Institute of Education Science and Technology - North of Minas Gerais Almenara Brazil f Institute of Production Engineering and Management Federal University of Itajubá Brazil c Faculty of Finance and Accounting Prague University of Economics and Business Prague Czech Republic

ABSTRACTHybrid energy projects are gaining global interest due to their potential to promote sustainable development. This study addresses a gap in the literature by proposing a stochastic model that assesses the economic feasibility of a hybrid energy system combining wind, photovoltaic generation, and battery storage. Unlike traditional deterministic approaches, the model incorporates uncertainties in key financial and operational variables, improving decision-making in real-world conditions. The optimization framework integrates Design of Experiments (DoE), Response Surface Methodology (RSM), and the Desirability function to balance economic return and financial risk. By maximizing the mean and minimizing the variance of the Net Present Value (NPV), the model identifies an optimal system configuration with 92% wind energy, a demand level of 230 kWh/month, and lithium-ion battery storage. This approach reduces computational complexity and enhances hybrid system viability in regions with strong wind resources, providing a valuable tool for investors and policymakers in sustainable energy planning.

关键词： Multiobjective optimization response surface methodology hybrid power system energy storage economic feasibility

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Focal Group Technique: Overcoming Normality Standards While Comprehending Inclusive Learning

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Creative Education 2016年第3期7卷 520-532页

作者： Rosane de F. A. Obregon Tarcisio Vanzin Vânia R. Ulbricht Bachelor Interdisciplinary Course in Science and Technology Federal University of Maranhao San Luis Brazil Program Graduate Engineering and Knowledge Management Federal University of Santa Catarina Florianopolis Brazil

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An approach based on genetic algorithm for solving 2D cutting problem with items of irregular shapes 15

An approach based on genetic algorithm for solving 2D cuttin...

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7th ACM International Conference on management of Computational and Collective IntElligence in Digital EcoSystems, MEDES 2015

作者： Gava, Marisa Carla Voigt Rosario, Cristian Derik Paulino Filho, Antonio Gregorio De Araújo, Sidnei Alves Industrial Engineering Post-Graduation Program Av. Francisco Matarazzo 612 Água Branca São Paulo SP05001-100 Brazil Departament of Informatics Computer Science Undergraduation Course Rua Vergueiro 235/249 Liberdade São Paulo SP01504-001 Brazil Informatics and Knowledge Management Post-Graduation Program Av. Francisco Matarazzo 612 Água Branca São Paulo SP05001-100 Brazil

ISBN: (纸本)9781450334808

In this paper we proposed an approach based on genetic algorithm (GA) and digital image processing (DIP) to deal with the problem of cutting identical items (pieces) with irregular shapes in metal plates (objects). The goal is to maximize the number of items to be cut in the available area of the object. In this approach both object and the items are depicted as color images. The GA is responsible for generating the solutions, each one represented by a vector containing a set of translations and angles that indicate the positions and orientations for cutting the pieces. The evaluation of each solution generated by GA is performed by an image analysis algorithm that basically detects overlapping among the items placed on the object. Preliminary experiments indicate that the use of GA combined with DIP is a good alternative for solving the investigated problem. © 2015 ACM.

关键词： Genetic algorithms

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A Data management in a Private Cloud Storage Environment Utilizing High Performance Distributed File Systems

A Data Management in a Private Cloud Storage Environment Uti...

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IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises

作者： Tiago S. Soares M. A. R. Dantas Douglas D. J. de Macedo Michael A. Bauer Informatics and Statistic Department (INE) Federal University of Santa Catarina (UFSC) Post-Graduate Program of Knowledge Engineering and Management Federal University of Santa Catarina (UFSC) Computer Science Department (CSD) University of Western Ontario (UWO)

ISBN: (纸本)9781479904051

The new trend in the process of data-intensive management indicates the importance of a distributed file system for both Internet large scale services and cloud computing environments. I/O latency and application buffering sizes are two of a number of issues that are essential to be analysed on different class of distributed file systems. In this paper, it is presented a research work comparing four different high performance distributed file systems. Those systems were employed to support a medical image server application in a private storage environment. Experimental results highlight the importance of an appropriate distributed file system to provide a differential level of performance considering application specific characteristics.

关键词： Distributed File System DICOM HDF5 Telemedicine

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knowledge and ontology engineering for smart services

Knowledge and ontology engineering for smart services

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6th International Conference on knowledge Science, engineering and management, KSEM 2013

作者： Dos Santos Pacheco, Roberto Carlos Salm Junior, José Francisco Schneider, Viviane Koller, Karine Federal University of Santa Catarina Brazil University of Santa Catarina State Brazil Program of Post-Graduate Knowledge Engineering and Manager Federal University of Santa Catarina Brazil Modeling Subproject by FINEP / FAPESC Brazil Development in Institute Stela Rua Prof. Ayrton Roberto de Oliveira 32 Florianópolis CEP: 88034-050 Santa Catarina Brazil

ISBN: (纸本)9783642397868

This work points out different aspects of a methodology that is concerned with how hypermedia content can be shared in real time through ubiquitous network and in systems context-awareness, mediated by knowledge engineering. The software components that are shared within these environments all share non-functional requirements of high reliability, availability and security. Addition to techniques of knowledge engineering and ontology engineering, these non-functional requirements need to be addressed also by the methodology. Furthermore, that type of service application also should address other modeling aspects that are related to inter-organizational aspects like culture, power and relationship. These methodological aspects are described also in this work. The benefits of applying this approach is the added value for those who need to model not just the ubiquitous software application but also the knowledge engineering aspects that allow the Hypermedia content in to be share in an ubiquitous network. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Ontology

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Real engineering Problems in an Undergraduate Course: The learning methodologies and assessment tools

Real Engineering Problems in an Undergraduate Course: The le...

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World engineering Education Forum - Global engineering Deans Council (WEEF-GEDC)

作者： Ricardo A. Diogo André L.A.C. Venâncio Maria Angela M. Roveredo Santos Eduardo F.R. Loures Neri dos Santos Knowledge Engineering&Management Graduate Program Federal University of Santa Catarina Florianopolis Brazil Industrial&Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Control and Automation Engineering/Mechatronics Engineering Pontifical Catholic University of Parana Curitiba Brazil

ISBN: (纸本)9781665424899

This paper presents the context of the Ubiquitous Computing course carried out in an Industrial engineering undergraduate program throughout 2020 and the first semester of 2021. This course took advantage of the Institutional Modernization program led by the Control and Automation engineering Undergraduate program, which consists in the modernization of undergraduate engineering programs at the Pontifical Catholic University of Paraná. The course aimed to help develop competencies, i.e., a set of knowledge, skills, and attributes aligned with Student Outcomes suggested by ABET. Also, the course proposal brought the productive sector very close to the academic environment, proposing real engineering problems as challenges. However, what are the methods and assessment tools for practical learning in a course with modern elements? This paper proposed the flipped learning and the Challenge-Based Learning Framework with the support of the CDIO Framework as learning methodologies to answer such question. Additionally, quizzes, tests, presentations, rubrics, and peer evaluation were applied as assessment tools to measure the student's progress. Finally, students were listened to about their perceptions during the course. The results suggested that the learning methodologies and assessment tools are suitable for the course context, although some improvements are expected for the following course offers. Moreover, students approved the initiative to bring in real challenges proposed by companies, the mentoring hours, and the feedback about the projects.

关键词： Automation Companies Industrial engineering Ubiquitous computing Proposals Mentoring engineering education

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Design and Construction of Smart Cities 1

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丛书名： Sustainable Civil Infrastructures

1000年

作者： Ibrahim El Dimeery Moustafa Baraka Mona B. Anwar Mahmoud El Khafif Nagy Hanna Syed M. Ahmed Amin Akhnoukh Amr T. Abdel Hamid

ISBN: (数字)9783030642174

ISBN: (纸本)9783030642167

This book focuses on how to maintain environmental sustainability as one of its main principles, and it addresses how smart cities serve to diminish wastes and maintain natural resources by having clean green energy that is operated by new smart technology designs. Living in a smart city is not something of the future anymore, it is here, and it is being implemented all over the world. A smart city uses different types of electronic Internet of things (IoT) sensors to collect data and then use these data to manage assets and resources efficiently. The smart city concept integrates information and communication technology (ICT), and various physical devices connected to the IoT network to optimize the efficiency of city operations and services and achieve sustainable solutions to allow us to grow with proper management of our resources.;Smart sustainable structures and infrastructures face the need of urban areas due to the growth of populations while in the same timesave our environment. To achieve this, we need to revisit the conventional methods in design and construction and the conventional materials which are used now to optimize the design and provide smart solutions. In the past few years, the consumption of resources has been massive, and the waste produced from that consumption has been inconceivable. This is causing environmental degradation, which produces many environmental challenges, such as global climate change, excessive fossil fuel dependency and the growing demand for energy.;As well as, discussing the challenges facing the civil engineering design and construction of smart cities components and presenting concepts and insight from experts and researchers from different civil engineering disciplines., this book explains how to construct buildings and special structures and how to manage and monitor energy.

关键词： Earth Sciences, general Geotechnical engineering & Applied Earth Sciences

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