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IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Allan Christian Krainski Ferrari Gideon Villar Leandro Leandro Dos Santos Coelho Gilberto Reynoso Meza Eletrical Engineering Department Federal University of Paraná UFPR Curitiba Brazil Electrical Engineering Graduate Program (PPGEE) Federal University of Paraná (UFPR) Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Paraná (PUCPR) Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Paraná Curitiba Brazil

This article implements the multi-objective grey wolf optimizer (MOGWO) in the tuning process of the gains of the Fractional-Order Proportional-Integral-Derivative (FOPID) controller applied in the control of a boiler system. For a sequence of 100 runs, this application had compared and analyzed with other implementation that uses MOGWO to optimize the gains of the classical Proportional-Integral-Derivative (PID) controller. In the computational simulation, the value hypervolume metric had used to analyze the performance of the controllers. In the results, the implementation of the FOPID showed superior to PID, where the comparison had validated by a hypothesis test. Despite the higher computational cost concerning the tuning process of the PID controller, this study proved that the FOPID controller can be advantageous for industrial applications.

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Minimizing the Number of Stunting Prevalence Using the Euclid Algorithm Clustering Approach 7

Minimizing the Number of Stunting Prevalence Using the Eucli...

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7th IEEE International Conference of Computer Science and Information Technology, ICOSNIKOM 2023

作者： Zarlis, Muhammad Oktavia, Tanty Buaton, Relita Ernawan, Ferda Andrian, Kevin Bina Nusantara University Information System Management Department BINUS Graduate Program - Master of Information System Management Jakarta11480 Indonesia STMIK Kaputama Informatics Engineering Binjai20714 Indonesia Universiti Malaysia Pahang Al-Sultan Abdullah Faculty of Computing Pekan26600 Malaysia BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Department of Information Systems Management Jakarta Indonesia

ISBN: (纸本)9798350360752

Superior and quality human resources are based on healthy human resources with indicators of adequate nutritional intake according to age development. However, the world still faces the problem of hunger and malnutrition today. According to a UNICEF report, the number of people suffering from malnutrition in the world will reach 767.9 million people in 2021. The World Health Organization (WHO) said that malnutrition is a dangerous threat to the health of the world's population. Stunting also has an impact in Indonesia, the prevalence of toddlers experiencing stunting in Indonesia is 24.4% in 2021. The solution created is to classify and cluster the prevalence of stunting to produce a pattern that can be used as best practice to be transmitted to other affected areas. The algorithm used is Euclid. The Euclid algorithm can cluster stunting prevalence data into 4 clusters with the very little category at 79%, the little category at 67%, the many categories at 51%, and the very much category at 21%. The results of the classification and clustering of the best stunting prevalence in cluster one with a very small number, can be used as a source of accurate and updated information that can be used by the government in its efforts to optimize stunting handling in each district/city based on artificial intelligence which can provide handling and optimization patterns. stunting in every district/city. © 2023 IEEE.

关键词： Classification (of information)

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On a New Rough Clustering Based on Optimization 13

On a New Rough Clustering Based on Optimization

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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： Furuta, Sakuya Endo, Yasunori Master's Program in Risk and Resilience Engineering Degree Programs in Systems and Information Engineering Graduate School of Science Annd Technology University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan Institute of Systems and Information Engineering University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan

ISBN: (纸本)9798350373332

The purpose of this study is to develop and investigate a new rough clustering based on optimization. We propose a restructured algorithm using only one variable, instead of the algorithm described using two variables in existing methods. We also perform numerical examples using artificial data and the Iris and Wine datasets. This research has the potential to be used as a method for determining false negatives and false positives in cancer diagnosis. © 2024 IEEE.

关键词： Clustering algorithms

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Reviewing Photovoltaics and Electric Vehicles: Synergy and End of Life Management 26th

Reviewing Photovoltaics and Electric Vehicles: Synergy and E...

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26th International Joint Conference on Industrial engineering and Operations Management, IJCIEOM 2021

作者： Marcuzzo, Rafael Campos, Lucila M. S. Maldonado, Mauricio Uriona Vaz, Caroline Rodrigues Graduate Program in Production Engineering Universidade Federal de Santa Catarina Florianópolis Brazil Department of Production Engineering and Systems Universidade Federal de Santa Catarina Florianópolis Brazil Department of Textile Engineering Universidade Federal de Santa Catarina Blumenau Brazil

ISBN: (纸本)9783030785697

Energy supply and mobility are necessary functions of economic development and have become global latent themes concerning sustainability. In the electricity sector renewable energy technologies, such as solar photovoltaic (PV), have grown significantly over its competitors in terms of investment in the past 20 years. Still, adoption of the technology has not grown quickly enough to decarbonize the sector. In the mobility sector, however, combustion engines have been replaced with electric vehicles (EV), illustrating a greater potential to mitigate emission of polluting gases. Still, the production of EV technology can yield high emissions. Instead of either technology working separately, both PV and EV may be able to cooperate in a manner where PV systems power clean electricity to produce and charge EV batteries until they return to a stationary storing system (i.e., second life) for PV systems. The following study investigates the use of EV batteries for PV systems, assessing the possible toxic effects on the environment from manufacturing, using, and disposing the technology. A review of peer-reviewed articles shed light on possible hazards of clean technologies in the energy and mobility sectors. Findings suggest the diffusion of clean technologies must be accompanied by policies that guarantee responsible disposal of them. The study concludes that advanced technological mechanisms for renewable energy may have significantly negative and sometimes obscured environmental impacts, which must be considered in future policies advocating for those technologies. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Environmental technology

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Development of High-Speed Laser Absorption Scattering (HS-LAS) System for Measuring Vapor and Liquid Phase Concentration Distributions in Evaporating Diesel Spray 10

Development of High-Speed Laser Absorption Scattering (HS-LA...

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10th International Conference on Modeling and Diagnostics for Advanced Engine systems, COMODIA 2022

作者： Ray, Samir Chandra Naito, Shinichiro Safiullah Andersson, Mats Nishida, Keiya Ogata, Yoichi Sasaki, Hiroyasu Department of Mechanical Systems Engineering Graduate School of Engineering University of Hiroshima Japan Department of Mathematics Bangabandhu Sheikh Mujibur Rahman Science & Technology University Gopalganj Bangladesh Mechanical Engineering Program Graduate School of Advanced Science and Engineering University of Hiroshima Japan Department of Mechanics and Maritime Sciences Chalmers University of Technology Goteborg Sweden Nac Image Technology Inc. Japan

The fundamental concept of the LAS technique is to understand the fuel concentration by attenuation of both visible and ultraviolet light. The intensity of visible light is only attenuated by the scattering of droplets, while that of ultraviolet light is attenuated by the scattering of droplets and the absorption of vapors. The conventional LAS uses the ND: YAG pulse laser, CCD cameras and one shot for one spray, which takes time and effort. Moreover, temporal variation measurement of a single shot spray is not possible by the conventional LAS. To record the distribution of the whole vapor phase in an injection event and measure the liquid and vapor concentration inside the spray, a high-speed laser absorption scattering (HS-LAS) technique was developed applying continuous diode light source, high-speed video cameras, and image intensifier for UV light, which can provide the temporal variation of a single shot spray. In the experiment, a commercial seven-hole injector with a hole diameter of 0.123 mm allowing high injection pressure up to 100 MPa was used to avoid the potential inconsistencies with single-hole test injector. The diesel surrogate fuel which consists of 97.5 % n-tridecane and 2.5 % of volume-based 1-methylnaphthalene was used. The injection amount 5.0 mg/hole were selected to investigate the structure and mixture formation process of the spray. The findings of the experiments show that this imaging approach is a promising diagnostic technique for concurrently obtaining quantitative information on the quantity of vapor and droplets in a fuel spray. Furthermore, the turbulent/vortex fluid dynamics' temporal development/variation can be investigated. © 2022 by the Japan Society of Mechanical Engineers All rights reserved.

关键词： Diesel engines

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Improved multiobjective particle swarm optimization for designing PID controllers applied to robotic manipulator

Improved multiobjective particle swarm optimization for desi...

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IEEE Symposium on Computational Intelligence in Control and Automation, CICA

作者： Juliano Pierezan Helon H. V. Ayala Luciano F. da Cruz Roberto Z. Freire Leandro dos S. Coelho Federal University of Parana— UFPR Electrical Engineering Graduate Program — PPGEE Curitiba Brazil Pontifical Catholic University of Parana — PUCPR Industrial and Systems Engineering Graduate Program — PPGEPS Curitiba Brazil Department of Electrical Engineering — DEE/PPGEE Industrial and Systems Engineering Graduate Program — PPGEPS and Federal University of Parana — UFPR Curitiba Brazil

In order to improve equipment efficiency in terms of performance, energy consumption and degradation for example, the industry has increased the use of control systems as the PID (proportional-integral-derivative) to a new baseline. This structure has few parameters to adjust and it is easy to implement practically. However, there are some requirements often included on multivariable systems that cannot be solved concurrently by classical methods. To solve this problem, the current paper approaches the application of Multiobjective Differential Evolution (MODE), Multiobjective Harmony Search (MOHS) and Multiobjective Particle Swarm Optimization (MOPSO) on multivariable PID controllers tuning. Moreover, an improved version of MOPSO (I-MOPSO) is proposed and its performance is compared with the other algorithms. In order to validate it under control systems, the optimization technique is applied on a two degree of freedom robotic manipulator. Finally, a detailed analysis is made on the I-MOPSO achievements.

关键词： Optimization Manipulator dynamics Mathematical model Particle swarm optimization Vectors

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Investigating technical debt folklore: Shedding some light on technical debt opinion

Investigating technical debt folklore: Shedding some light o...

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2013 4th International Workshop on Managing Technical Debt, MTD 2013

作者： Spínola, Rodrigo O. Vetrò, Antonio Zazworka, Nico Seaman, Carolyn Shull, Forrest Graduate Program in Systems and Computer Universidade Salvador UNIFACS Salvador BA Brazil Dept. of Control and Computer Engineering Politecnico di Torino Torino Italy Elsevier Information Systems GmbH Frankfurt Germany Department of Information Systems UMBC Baltimore MD United States Fraunhofer USA Center for Experimental Software Engineering College Park United States

ISBN: (纸本)9781467364430

We identified and organized a number of statements about technical debt (TD Folklore list) expressed by practitioners in online websites, blogs and published papers. We chose 14 statements and we evaluated them through two surveys (37 practitioners answered the questionnaires), ranking them by agreement and consensus. The statements most agreed with show that TD is an important factor in software project management and not simply another term for 'bad code'. This study will help the research community in identifying folklore that can be translated into research questions to be investigated, thus targeting attempts to provide a scientific basis for TD management. © 2013 IEEE.

关键词： Surveys

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A DIAGNOSIS FRAMEWORK OF HYBRID DYNAMIC systems BASED ON TIME FUZZY PETRI NETS

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IFAC Proceedings Volumes 2005年第1期38卷 55-60页

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

This paper presents a diagnosis framework based on a qualitative model of the process. Starting from a dynamic abstraction procedure under a defined operating mode a fuzzy partitioning of the variables evolution is made, defining for each measured or observable variable a number of qualitative states. Then time Fuzzy intervals representing the moment of state change are defined. The process behaviour of the operating mode is represented by Time Fuzzy Petri nets (TFPN) model and its evolution is the consequence of events detection due to the partitioning bounds crossing. According to the membership possibility of an event to the estimated time interval and to fuzzy influence knowledge, it is possible to reason about a fault occurrence. The fuzzy data issue from the TFPN components allows evaluating the causes of the fault or failure mode. A model-based diagnosis of a hybrid system is presented.

关键词： Time fuzzy Petri nets qualitative modelling possibility theory detection diagnosis hybrid systems

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Agent-Based Modeling for Forest Fire Simulation in Chiang Mai, Thailand 23

Agent-Based Modeling for Forest Fire Simulation in Chiang Ma...

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23rd International Symposium on Communications and Information Technologies, ISCIT 2024

作者： Tappanom, Teerapat Leelawat, Natt Saengtabtim, Kumpol Tang, Jing Risk and Disaster Management Program Graduate School Chulalongkorn University Bangkok Thailand Chulalongkorn University Faculty of Engineering Department of Industrial Engineering Bangkok Thailand Graduate School of System Design and Management Keio University Yokohama Japan Disaster and Risk Management Information Systems Research Unit Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9798350353952

Forest fires have a significant impact on ecosystems and human life, especially in northern Thailand, where Chiang Mai is severely affected. Traditional methods for detecting forest fires have limitations, so there is a need for advanced simulation models. This research uses Agent-Based Modeling (ABM) to develop a forest fire simulation for Chiang Mai. The methodology involves collecting historical data, performing Multiple Regression Analysis, designing the simulation, and testing it. Data from 1998 to 2021, including temperature, relative humidity, wind speed/direction, burn area, and slope, were collected from various sources. Multiple regression analysis identified wind speed as the most significant factor affecting burn area. The forest fire simulation, designed using ZF Wang's spread model and tested with AnyLogic, showed that wind direction and speed are crucial in fire spread. The simulation accurately predicted high-risk areas, helping in proactive planning and response. This study confirms that wind is a critical factor in forest fire spread, providing a valuable tool for fire districts to improve preparedness and management. Future research should focus on refining the model with localized data and integrating real-time detection to improve its accuracy and applicability. © 2024 IEEE.

关键词： Forest ecology

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One-step flow synthesis of size-controlled polymer nanogels in a fluorocarbon microfluidic chip

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RSC Advances 2024年第16期14卷 11258-11265页

作者： Montalbo, Reynaldo Carlos K. Wu, Meng-Jie Tu, Hsiung-Lin Institute of Chemistry Academia Sinica Taipei11529 Taiwan Nanoscience and Technology Taiwan International Graduate Program Academia Sinica Taipei11529 Taiwan Department of Engineering and System Science National Tsing-Hua University Hsinchu300044 Taiwan Department of Chemistry National Cheng-Kung University Tainan70101 Taiwan Genome and Systems Biology Degree Program Academia Sinica and National Taiwan University Taiwan

Synthetic polymer nanoparticles (NPs) with biomimetic properties are ideally suited for different biomedical applications such as drug delivery and direct therapy. However, bulk synthetic approaches can suffer from poor reproducibility and scalability when precise size control or multi-step procedures are required. Herein, we report an integrated microfluidic chip for the synthesis of polymer NPs. The chip could sequentially perform homopolymer synthesis and subsequent crosslinking into NPs without intermediate purification. This was made possible by fabrication of the chip with a fluorinated elastomer and incorporation of two microfluidic mixers. The first was a long channel with passive mixing features for the aqueous RAFT synthesis of stimuli-responsive polymers in ambient conditions. The polymers were then directly fed into a hydrodynamic flow focusing (HFF) junction that rapidly mixed them with a crosslinker solution to produce NPs. Compared to microfluidic systems made of PDMS or glass, our chip had better compatibility and facile fabrication. The polymers were synthesized with high monomer conversion and the NP size was found to be influenced by the flow rate ratio between the crosslinker solution and polymer solution. This allowed for the size to be predictably controlled by careful adjustment of the fluid flow rates. The size of the NPs and their stimuli-responses were studied using DLS and SEM imaging. This microfluidic chip design can potentially streamline and provide some automation for the bottom-up synthesis of polymer NPs while offering on-demand size control. © 2024 The Royal Society of Chemistry.

关键词： Microfluidic chips

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