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Towards safety level definition based on the HRN approach for industrial robots in collaborative activities

Procedia Manufacturing 2019年 38卷 1481-1490页

作者： Magno Paiva Hippertt Marcio Lazai Junior Anderson Luis Szejka Osiris Canciglieri Junior Eduardo Rocha Loures Eduardo Alves Portela Santos Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Parana Curitiba Brazil

Since the first industrial revolution, factories seek to increase their profits by improving their performance and reducing costs in their products. With each new industrial revolution, new ideas on how to reduce costs appear. Currently, in industry 4.0, the fourth industrial revolution, advanced robotics emerges as one of the principal pillars and with-it collaborative robotics. Collaborative robotics is the branch of robotics that has the security systems needed to perform joint activities with humans. However, the quantification of safety level varies depending on the location and more granularly from company to company. This work aims to assign levels of safety that allow a robot to perform a collaborative activity. To propose such values, the work was started with a bibliographical review focused on defining the robots that would be approached, reviewing the ISO (International Organization for Standardization) related to machinery safety and defining the term of collaboration. Then, the method of calculation of the safety indicator was evaluated, in the case covered was the Hazard Rating Number (HRN), and then defined the intervals that will be assigned to the robots that will perform collaborative activities. To validate the defined HRN intervals, a survey was developed and distributed for engineers from automation sector of an automotive company trained in safety, in this survey, categories of robots were placed for the engineers to assign HRN values to them. After the survey, the results were grouped and analyzed analytically. As a result, the proposed HRN intervals were validated because they fit the safety-level stipulated required for a robot to perform collaborative activity. Also, it was concluded that a robot can perform a collaborative activities even if it has not been acquired for this purpose, it is enough that it meets the safety requirements proposed in the work.

关键词： Collaborative Robots Industrial Robots Safety Hazard Rating Number Introduction

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Biofuel production using tire waste in fast pyrolysis: A life cycle assessment study

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Cogent Environmental Science 2025年第1期11卷

作者： H. Afash B. Ozarisoy H. Altan a Department of Industrial Engineering and Business Information Systems University of Twente Enschede The Netherlandb Sustainable Environment and Energy Systems (SEES) Graduate Program Middle East Technical University Northern Cyprus Campus Guzelyurt Turkey c College of Technology and Environment London Southbank University London UK d Department of Architecture College of Architecture and Design Prince Mohammad Bin Fahd University Dhahran Saudi Arabia

ABSTRACTDespite exceeding 2 billion units annually, the management of waste tires remains a global challenge. Pyrolysis, a thermochemical conversion process, offers a potential waste-to-energy solution with valuable byproducts. However, concerns regarding its environmental sustainability, particularly emissions associated with sulfur content, persist. The aim of this study is to evaluate the environmental impacts of a large-scale pyrolysis reactor processing waste tires using life cycle assessment (LCA) as an environmental impact tool. In this study, using heating fuel oil (HFO) and non-condensable gas (NCG) as heating methods, two pyrolysis scenarios were investigated in terms of their environmental performance. The LCA identified abiotic depletion and acidification as key environmental concerns. The HFO scenario has shown a 15% greater impact on abiotic depletion and a 78% greater impact on acidification compared to the NCG scenario. This difference has been attributed to the higher sulfur content in HFO. Nevertheless, both pyrolysis scenarios have shown positive environmental benefits regarding marine and freshwater ecotoxicity compared to conventional alternatives. These findings support the potential of pyrolysis for sustainable waste tire management while highlighting the need for further optimization to minimize sulfur-related emissions. The findings of this study can be used as a roadmap towards adapting clean technologies such as pyrolysis as a waste management strategy for policymakers by applying holistic system boundaries and regulated pyrolysis production.

关键词： Life cycle assessment pyrolysis tire waste waste management

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Control of a Refrigeration System Benchmark Problem: An Approach based on COR Metaheuristic Algorithm and TOPSIS Method

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IFAC-PapersOnLine 2019年第11期52卷 85-90页

作者： Ricardo Massao Kagami Gilberto Reynoso-Meza Eduardo A.P. Santos Roberto Zanetti Freire Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Paraná (PUCPR) Brazil

The Proportional-Integral-Derivative (PID) controller is widely used in industrial applications. In order to evaluate the performance of distinct types of controllers, several benchmark systems are available in the specialized literature. In this work, an alternative approach to tune PID controllers based on the Competition Over Resources (COR) metaheuristic optimization algorithm and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is proposed to solve a vapor compression refrigeration system problem, which is a benchmark control challenge. The proposed technique considered the normalization of multiple cost functions to simplify the selection of two PIDs’ parameters, reducing the need of understanding the influences of cost functions variations in complex problems. The proposed controllers outperformed the base line controllers, providing a performance index 68.39% better than the original approach. Finally, the proposed method was compared with other tuning methods.

关键词： Competition over resources algorithm controller tuning multi-objective problem multivariable control

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Data Processing of Functional Optical Microscopy for Neuroscience

arXiv

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arXiv 2022年

作者： Benisty, Hadas Song, Alexander Mishne, Gal Charles, Adam S. Yale Neuroscience New HavenCT06510 United States Max Planck Institute for Intelligent Systems Stuttgart Germany Halıcıoğlu Data Science Institute Department of Electrical and Computer Engineering Neurosciences Graduate Program UC San Diego 9500 Gilman Drive La Jolla CA92093 United States Department of Biomedical Engineering Kavli Neuroscience Discovery Institute Center for Imaging Science Department of Neuroscience Mathematical Institute for Data Science Johns Hopkins University BaltimoreMD21287 United States

Functional optical imaging in neuroscience is rapidly growing with the development of new optical systems and fluorescence indicators. To realize the potential of these massive spatiotemporal datasets for relating neuronal activity to behavior and stimuli and uncovering local circuits in the brain, accurate automated processing is increasingly essential. In this review, we cover recent computational developments in the full data processing pipeline of functional optical microscopy for neuroscience data and discuss ongoing and emerging challenges. © 2022, CC BY-NC-ND.

关键词： Fluorescence microscopy

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Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model

arXiv

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arXiv 2020年

作者： da Silva, Ramon Gomes Ribeiro, Matheus Henrique Dal Molin Mariani, Viviana Cocco dos Santos Coelho, Leandro Pontifical Catholic University of Parana Industrial & Systems Engineering Graduate Program Curitiba Brazil Federal Technological University of Parana Department of Mathematics Pato Branco Brazil Federal University of Parana Dept. of Electrical Eng. Curitiba Brazil Pontifical Catholic University of Parana Mechanical Engineering Graduate Program Curitiba Brazil

Accurate forecasting is important for decision-makers. Recently, the Amazon rainforest is reaching record levels of the number of fires, a situation that concerns both climate and public health problems. Obtaining the desired forecasting accuracy becomes difficult and challenging. In this paper were developed a novel heterogeneous decomposition-ensemble model by using Seasonal and Trend decomposition based on Loess in combination with algorithms for short-term load forecasting multimonth-ahead, to explore temporal patterns of Amazon rainforest fires in Brazil. The results demonstrate the proposed decomposition-ensemble models can provide more accurate forecasting evaluated by performance measures. Diebold-Mariano statistical test showed the proposed models are better than other compared models, but it is statistically equal to one of them. Copyright © 2020, The Authors. All rights reserved.

关键词： Decision making

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A Normal Distribution Transform-Based Radar Odometry Designed For Scanning and Automotive Radars

arXiv

引用

arXiv 2021年

作者： Kung, Pou-Chun Wang, Chieh-Chih Lin, Wen-Chieh Graduate Degree Program of Robotics National Chiao Tung University Hsinchu Taiwan Department of Electrical and Computer Engineering National Chiao Tung University The Mechanical and Mechatronics Systems Research Laboratories Industrial Technology Research Institute Hsinchu Taiwan Department of Computer Science National Chiao Tung University Hsinchu Taiwan

Existing radar sensors can be classified into automotive and scanning radars. While most radar odometry (RO) methods are only designed for a specific type of radar, our RO method adapts to both scanning and automotive radars. Our RO is simple yet effective, where the pipeline consists of thresholding, probabilistic submap building, and an NDT-based radar scan matching. The proposed RO has been tested on two public radar datasets: the Oxford Radar RobotCar dataset and the nuScenes dataset, which provide scanning and automotive radar data respectively. The results show that our approach surpasses state-of-the-art RO using either automotive or scanning radar by reducing translational error by 51% and 30%, respectively, and rotational error by 17% and 29%, respectively. Besides, we show that our RO achieves centimeter-level accuracy as lidar odometry, and automotive and scanning RO have similar accuracy. Copyright © 2021, The Authors. All rights reserved.

关键词： Optical radar

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An efficient multi-objective evolutionary approach for solving the operation of multi-reservoir system scheduling in hydro-power plants

arXiv

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arXiv 2021年

作者： Marcelino, Carolina Gil Leite, G.M.C. Delgado, C.A.D.M. De Oliveira, L.B. Wanner, E.F. Jiménez-Fernández, S. Salcedo-Sanz, S. Department of Signal Processing and Communications Universidad de Alcalá Spain Institute of Computing Federal University of Rio de Janeiro Brazil Post-Graduate Program in Systems Engineering and Computer Science Federal University of Rio de Janeiro Brazil Computing Department Federal Center of Technology Education of Minas Gerais Brazil

This paper tackles the short-term hydro-power unit commitment problem in a multi-reservoir system - a cascade-based operation scenario. For this, we propose a new mathematical modelling in which the goal is to maximize the total energy production of the hydro-power plant in a sub-daily operation, and, simultaneously, to maximize the total water content (volume) of reservoirs. For solving the problem, we discuss the Multi-objective Evolutionary Swarm Hybridization (MESH) algorithm, a recently proposed multiobjective swarm intelligence-based optimization method which has obtained very competitive results when compared to existing evolutionary algorithms in specific applications. The MESH approach has been applied to find the optimal water discharge and the power produced at the maximum reservoir volume for all possible combinations of turbines in a hydro-power plant. The performance of MESH has been compared with that of well-known evolutionary approaches such as NSGA-II, NSGA-III, SPEA2, and MOEA/D in a realistic problem considering data from a hydro-power energy system with two cascaded hydro-power plants in Brazil. Results indicate that MESH showed a superior performance than alternative multi-objective approaches in terms of efficiency and accuracy, providing a profit of $412,500 per month in a projection analysis carried out. © 2021, CC BY-NC-ND.

关键词： Multiobjective optimization

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Improving the vocabulary learning by personalized proficiency 12

Improving the vocabulary learning by personalized proficienc...

引用

12th International Conference on Ubi-Media Computing, Ubi-Media 2019

作者： Lin, Yi-Zhen Chen, Kai-Hsiang Huang, Jen-Wei Department of Electrical Engineering National Cheng Kung University Tainan Taiwan Graduate Program of Multimedia Systems and Intelligent Computing National Cheng Kung University Academia Sinica Taiwan

ISBN: (纸本)9781728128207

To improve the vocabulary ability is very important in language learning. Thus, if we can learn and remember a word very effectively, then we will be able to master a language more quickly. Therefore, many scholars began to propose related research. Due to the learning mechanism of human brain, sometimes when people learn a new knowledge they may forgot at a short time. In order to make the consideration more complete, after analyzing Hermann Ebbinghaus's forgetting curve experiment, we added two variables, one is the acceptance of each word by the same person, and the other is the ability of different people to remember vocabulary. With the above two parameters, we want to design a system to help user to review the vocabulary which may be forgetting before. The forgetting curve can be personalized, and it is more accurate to calculate the best time for each user to review the vocabulary. © 2019 IEEE.

关键词： Game design

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Enabling Invariant Models to Describe Time-Varying Dynamics: A Case Study ⁎

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IFAC-PapersOnLine 2021年第14期54卷 1-6页

作者： Petrus E.O.G.B. Abreu Victor D.R. Dreke Luis A. Aguirre Claudio Garcia Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Av. Antônio Carlos 6627 31270-901 Belo Horizonte MG Brazil Control Systems Group Eindhoven University of Technology 5600 MB Eindhhover The Netherlands Department of Telecommunications and Control Engineering Escola Politécnica da Universidade de São Paulo Av. Prof. Luciano Gualberto 158 São Paulo SP Brazil

This work addresses the problem of identifying nonlinear and time-varying behaviors using Nonlinear polynomial AutoRegressive models with eXogenous inputs (NARX). Two approaches are investigated. The first one is based on a recursive algorithm with an adaptive forgetting factor to update the parameters of black-box models. The second approach aims to include a certain class of regressors to identify invariant models, i.e. with constant parameters, to describe such behaviors. An experimental case study of a pH neutralization process is carried out, which indicated the presence of behaviors that resemble varying dynamics features. Time-invariant models with a specific class of regressors are proposed and seem to be a promising way to deal with such dynamics.

关键词： Gray-box identification pH system NARX model varying dynamics

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Correlation Function of Specific Capacity and Electrical Conductivity on Carbon Materials by Multivariate Analysis

SSRN

引用

SSRN 2023年

作者： Moon, Junmo Yun, Hojong Ukai, Junzo Chokradjaroen, Chayanaphat Thiangtham, Satita Hashimoto, Takeshi Kim, Kyusung Sawada, Yasuyuki Saito, Nagahiro Department of Chemical Systems Engineering Graduate School of Engineering Nagoya University Furo-cho Chikusa-ku Nagoya464-8603 Japan Department of International Collaborative Program in Sustainable Materials and Technology for Industries between Nagoya University Chulalongkorn University Nagoya University Furo-cho Chikusa-ku Nagoya464-8603 Japan Meijo Nano Carbon Co. Ltd. Anagahora Shimoshidami Moriyama-ku Nagoya460-0002 Japan Conjoint Research Laboratory in Nagoya University Shinshu University Furo-cho Chikusa- ku Nagoya464-8603 Japan Furo-cho Chikusa-ku Nagoya464 8603 Japan Furo-cho Chikusa-ku Nagoya464-8603 Japan

Lithium ion batteries for electric vehicles are attracting attention as an energy source for the next generation of transportation, but replacing gasoline vehicles requires significant improvement in short mileage and slow charging speed. To overcome the problems, it is essential to improve the specific capacity and electrical conductivity of carbon material used as an anode and a conductive agent. In this study, a descriptor vector (dataset) was constructed by extracting structural-related parameters from a total of 21 carbon samples and experimentally obtaining objective variables. The capacity and conductivity as sensitive variables are shown to be the crystal size of the c-axis and the full width at half maximum of 2D peak, respectively. And they can also describe as "Specific capacity = 374 × (Lc2)0.55 / (53.90.55 + (Lc2)0.55)" and "Ln (Electrical conductivity2) = –1.69 × Ln (FWHM2D / Electrical conductivity) + 8.03". As result of analyzing the capacity with Hill equation, the intercalation of lithium ions through the basal surface at edge determines the amount of lithium ions, and as ion is intercalated, the interlayer distance increases and then returns to the original distance. By verifying with experimental data from 27 samples from previous studies, we could validate that these correlation equations are also applicable to other carbon materials. © 2023, The Authors. All rights reserved.

关键词： Lithium-ion batteries

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