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24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023

作者： Demidova, Galina Chen, Hao Li, Yibin Lukichev, Dmitry Anuchin, Alecksey Itmo University Faculty of Control System and Robotics Saint-Petersburg Russia School of Electrical and Power Engineering China University of Mining and Technology Xuzhou China Institute of Marine Science and Technology Shandong University Shandong China Moscow Power Engineering Institute Department of Electric Drives Moscow Russia

ISBN: (纸本)9798350336870

This paper provides a review of popular fault diagnosis methods in the power subsystem and electrical machine of electric drives. The review aims to explore the different approaches used to detect faults in these components and the most common types of faults encountered in electric drives. The paper first provides an overview of the power subsystem and electrical machine and their respective functions within the electric drive system. It then proceeds to discuss the different types of faults that can occur in these components, including overvoltage, undervoltage, overcurrent, and short circuits. The review evaluates the various fault diagnosis methods available for these components, including model-based, signal-based, and artificial intelligence-based approaches. Model-based approaches use mathematical models of the system to detect and diagnose faults. Signal-based approaches rely on the analysis of measured signals to detect changes in system behavior that indicate a fault. Artificial intelligence-based approaches use machine learning algorithms to identify patterns in data and detect faults. Model-based approaches are highly accurate but can be computationally intensive. Signal-based approaches are less computationally intensive but may be less accurate in certain situations. Artificial intelligence-based approaches are versatile but require significant amounts of data for training. This review provides a comprehensive overview of the current state-of-the-art in fault diagnosis methods for the power subsystem and electrical machine of electric drives. The review concludes by suggesting potential areas for future research to further improve the accuracy and efficiency of fault diagnosis methods for electric drives. © 2023 IEEE.

关键词： Failure analysis

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Analysis of YouTube Video Comments with NLP Methods

Analysis of YouTube Video Comments with NLP Methods

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International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

作者： Pirnau Mironela Priescu Iustin Priescu Catalina Mihaela Pirnau Claudiu Ghiculescu Liviu Daniel Department of Informatics Faculty of Informatics “Titu Maiorescu” University Bucharest Romania Faculty of Automatic Control and Computer Science National University of Science and Technology POLITEHNICA Bucharest Bucharest Romania Manufacturing Engineering Department Faculty of Industrial Engineering and Robotics National University of Science and Technology POLITEHNICA Bucharest Bucharest Romania

ISBN: (数字)9798350371154

ISBN: (纸本)9798350371161

This study proposes methods that can be used to examine and interpret comments that users have made after watching videos on YouTube on a particular topic. YouTube tutorials are very popular among young people. They have become an important pillar in informal education, thus contributing to the rapid acquisition of skills and knowledge. Under these circumstances, we were interested in analysing the YouTube videos comments, knowing that the platform has a continuous increase in popularity, which is also due to the opportunities of sharing them. Since ChatGPT-themed YouTube videos have seen a significant surge in popularity since 2022, we were interested to analyse some videos that approach the topics of “ChatGPT, AI clone, AI robot and Deep Learning.”

关键词： Video on demand Social networking (online) Education Tutorials Chatbots Web sites Artificial intelligence

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Computer Technologies for Modeling the Competencies of Employees of Industrial Enterprises as Part of a Digital Twin of a Person

Computer Technologies for Modeling the Competencies of Emplo...

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International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

作者： V. V. Martynov E. I. Filosova N. N. Zvereva Department of Digital Technologies in Economics and Management Ufa University of Science and Technology Ufa Russia Faculty of Informatics and Robotics Ufa University of Science and Technology Ufa Russia

The article discusses one of the most active areas of digitalization: the technology of creating a digital twin of a person and the tasks that can be solved with its application. In the article, the principles and procedure for designing a digital twin of a person are analyzed step by step. Each step is illustrated with examples of the equipment used and the results achieved. Thus, the authors of the article present research in the field of forming a model of the necessary competencies of employees of industrial enterprises based on the proposed technology. A brief description of the software solutions adopted in the concept of Digital twins is presented. Using concrete examples, the conditions and problems of the introduction of Digital twins in the world, in particular in Russia, are considered. The analysis of publications of domestic and foreign authors in the field of the development of a digital twin of a person is carried out.

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Data-Driven Identification of an Overhead Crane Using Grammar Guided Genetic Programming with Sparse Regression

SSRN

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SSRN 2023年

作者： Kusznir, Tom Smoczek, Jaroslaw Department of Manufacturing Systems Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Kraków Poland

In this work a novel evolutionary based method, termed grammar guided genetic programming with sparse regression (G3P—SR) is presented and applied in order to identify the dynamics of an underactuated overhead crane system based on experimental data. The use of evolution in determining the model structure results in a gray-box model where there is no prior requirement of expert knowledge of the system and the obtained solution can give valuable insight into the system behavior. The space of searchable functions is constrained by a set of production rules which aids in convergence and can lead to more interpretable model terms, while a sparse regression based on the l0 penalty both computes the parameters and selects appropriate terms by thresholding insignificant model terms. The proposed method is compared with a NARX neural network and a Takagi-Sugeno fuzzy ARX model at different operating points. © 2023, The Authors. All rights reserved.

关键词： Genetic programming

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Deformation Analysis and Prediction of Drop-Stitch Reinforced Inflatable Robot Link for 1DOF and 2DOF Motion

Deformation Analysis and Prediction of Drop-Stitch Reinforce...

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2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Gubbala, Gangadhara Naga Sai Nagashima, Masato Mori, Hiroki Seong, Young Ah Sato, Hiroki Niiyama, Ryuma Suga, Yuki Ogata, Tetsuya Waseda University School of Fundamental Science and Eng. Dept. of Intermedia Art and Science Tokyo165-8555 Japan Waseda University Institute for AI and Robotics Future Robotics Organization Tokyo165-8555 Japan Hosei University Faculty of Eng. and Design Dept. of System Design Tokyo102-8160 Japan Miyagi University School of Project Design Miyagi981-3298 Japan Meiji University School of Science and Technology Tokyo214-8571 Japan Tokyo165-8555 Japan Tokyo100-8921 Japan

ISBN: (纸本)9798331531614

In this study, we observe the dynamic behavior of an inflatable robot arm with an internally reinforced drop-stitch structure. We examine the deformation during motion of 1 and 2 degrees of freedom (DOF) for an inflatable body. The inflatable robot arm has a soft inflatable body as links and rigid servo actuators as joints. We implemented a sinusoidal motion for inflatable links for various payload conditions and analyzed them using a Motion Capture system. To estimate the dynamic deformation of the balloon in motion, we have defined a Deformation Index (DI) metric. Angle, current of the actuator (servo), and DI are used as input to polynomial regression to predict the end effector position. With this analysis, we can understand the complexity of modeling the nonlinear behavior of inflatable links for multi-DOF motion. We observed DI helps improve the prediction of the end effector position by including deformation information. However, the results demonstrate the limitations of polynomial regression analysis of an internally reinforced inflatable robot arm link. © 2025 IEEE.

关键词： End effectors

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Three-Dimensional Analysis of the Retinal Vessels 21st

Three-Dimensional Analysis of the Retinal Vessels

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21st Polish Control Conference, PCC 2023

作者： Bieda, Robert Jaskot, Krzysztof Jaworski, Marcin Faculty of Automatic Control Electronics and Computer Science Department of Automatic Control and Robotics Silesian University of Technology ul. Akademicka 16 room 625 Gliwice44-100 Poland OPTOMED Ophthalmological Center for Children and Adults Chorzów Poland

ISBN: (纸本)9783031351723

The article is an introduction to quantitative analysis retinal blood vessels. The analysis uses an active contouring system to isolate blood vessels obtained by scanning with an Angio-OTC device. It should bring possibility to make therapeutic decisions and determine the treatment prognosis that are based on the results of quantitative analysis of neovascular changes. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Blood vessels

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Contributions to Improving Quality Management of Execution Processes to Ensure Collaboration Between Local and Area Service Providers 17th

Contributions to Improving Quality Management of Execution P...

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17th International Conference on Interdisciplinarity in Engineering, INTER-ENG 2023

作者： Țîțu, Aurel Mihail Deac-Șuteu, Dorin Vasile Toderici, Marius Ioan Lucian Blaga University of Sibiu 10 Victoriei Street Sibiu Romania The Academy of Romanian Scientists 3 Ilfov Street Bucharest Romania Faculty of Industrial Engineering and Robotics National University of Science and Technology POLITEHNICA Bucharest 313 Splaiul Independenţei 6th District Bucharest Romania

ISBN: (纸本)9783031546631

Public administration systems in several European Union member countries are facing ways to improve the efficiency of their operations and the quality of the services they provide. They are gradually putting the main ideas of public management and quality management into practice in their efforts to improve performance, using different strategies to ensure institutional and administrative capacity building in support of political governance and their domestic economies. Adverse weather events, financial and economic crises have created a range of problems, situations and circumstances for public administrations, including social problems and social exclusion. The quality of managerial decisions is the most important performance. This can be demonstrated by scientific substantiation, which is ensured, on the one hand, by the existence and use of relevant information on the problems to be solved and, on the other hand, especially in the case of strategic decisions, by the use of appropriate managerial tools for substantiating and adopting decisions, depending on the decision-making situation of the problem to be solved. The article presents the results of research, analysis and modelling of some of the most common execution processes in the work of the most relevant providers of public services of local and regional interest. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Public administration

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Attendance System via Internet of Things, Blockchain and Artificial Intelligence technology: Literature Review 37th

Attendance System via Internet of Things, Blockchain and Art...

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37th International Conference on Advanced Information Networking and Applications, AINA 2023

作者： Abidemi, Sarumi Usman Mubarak, Auwalu Saleh Akanni, Olukayode Ameen, Zubaida Said Cacciagrano, Diletta Al-turjman, Fadi Artifiical Intelligence Engineering Department AI and Robotics Institue Near East University Mersin 10 Nicosia Turkey Computer Science Division School of Science and Technology Camerino University Camerino62032 Italy Research Center for AI and IoT Faculty of Engineering University of Kyrenia Mersin 10 Kyrenia Turkey

ISBN: (纸本)9783031286933

Many researchers have make efforts on creating several attendance systems to keep track of student attendance in school which is also part of academic curriculum that will have great impact in student academic performance. There have been different technologies such as RFID, face recognition, biometric, web-based attendance system etc. To capture attendance in a way that’s better than the traditional method of pen and paper or roll call system. Making this attendance record available on blockchain network and applying artificial intelligence algorithm for prediction or classification in correlation with the data captured from student attendance purpose. Several articles, papers and journals has been reviewed from different research plethora of research publishers’ database through internet such as Google scholar, IEEExplore, Springerslink etc. This will make it easy for comparing several attendance systems with respect to internet of things, blockchain and artificial intelligence to address the research gap in this aspect. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Blockchain

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Initial Study Toward Motion Generation by Autonomous Decentralized Control for Peristaltic Mixing and Conveying Device Imitating Intestines

Initial Study Toward Motion Generation by Autonomous Decentr...

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IEEE International Conference on Industrial technology (ICIT)

作者： Ryosuke Adachi Iori Terayama Takaaki Tanno Tomoki Hanamura Takuya Umedachi Taro Nakamura Depertment of Precision Mechanics Faculty of Science and Engineering Chuo University Tokyo Japan Depertment of Mechanical Engineering and Robotics Facility of Textile Science and Technology Shinshu University Nagano Japan

ISBN: (数字)9798350340266

ISBN: (纸本)9798350340273

We have developed a peristaltic mixing and conveying device that mimics the human intestine. The device is composed of unit units, making it highly scalable. However, centralized control cannot fully demonstrate the high scalability. Therefore, we focused on autonomous decentralized control. In general, autonomous decentralized control can be expected to improve scalability and fault tolerance. In our previous study, we focused on autonomous decentralized control of human intestines and proposed an autonomous control law, but there was room for improvement in scalability. The objective of this study is to design a “discrepancy function,” which is one of the design theories of autonomous decentralized control, to improve its industrial characteristics. In this paper, we design a term that coordinates the supply and exhaust states of neighboring units to design a discrepancy function, and confirm that it generates motion with the desired phase difference and improves scalability.

关键词： Fault tolerance Intestines Scalability Decentralized control Fault tolerant systems MIMICs Production

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Improving Process, Ergonomics and Product Quality with Collaborative Robots Through Zero Manufacturing Change Time 17th

Improving Process, Ergonomics and Product Quality with Colla...

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17th International Conference on Interdisciplinarity in Engineering, INTER-ENG 2023

作者： Gusan, Vasile ȚÎȚU, Aurel Mihail Faculty of Industrial Engineering and Robotics National University of Science and Technology POLITEHNICA Bucharest 313 Splaiul Independenţei 6th District Bucharest Romania Lucian Blaga University of Sibiu 10 Victoriei Street Sibiu Romania The Academy of Romanian Scientists 3 Ilfov Street Bucharest Romania

ISBN: (纸本)9783031546631

Quality is one of the key objectives of any organization, both past and present. Nowadays, quality is considered an obligation for any manufacturer that wants to guarantee its customers high-quality products, along with other relevant factors such as productivity and prompt delivery. At the same time, manufacturers must remain competitive in the market by optimizing manufacturing costs. To achieve these goals, manufacturers are looking for solutions that allow them to manufacture products at a speed satisfactory to customers, and at low costs, while guaranteeing the quality of the final product. In this sense, collaborative robots have become an increasingly common tool, especially in the electronic automotive industry, where manufacturers manage to optimize their manufacturing costs and remain competitive. The scientific paper addresses how collaborative robots are integrated using the zero-time manufacturing changeover strategy, with the ultimate goal of increasing the quality and ergonomics of manufacturing flows. The advantages of implementing collaborative robots are presented in the scientific paper. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Collaborative robots

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