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11th International conference on mechatronics and Robotics engineering, ICMRE 2025

作者： Rashid, Adnan Abed, Sa'ed Hasan, Osman Islamabad Pakistan College of Engg. and Petroleum Kuwait University Computer Engg. Depertment Kuwait City Kuwait

ISBN: (纸本)9798331509293

The control of Biomedical Systems in Physical Human-Robot Interaction (pHRI) plays a pivotal role in achieving the desired behavior by ensuring the intended transfer function and stability of subsystems within the overall system. Traditionally, the control aspects of biomedical systems have been analyzed using manual proofs and computer based analysis tools. However, these approaches provide inaccurate results due to human error in manual proofs and unverified algorithms and round-off errors in computer-based tools. We argue using Interactive reasoning, or frequently called theorem proving, to analyze control systems of biomedical engineering applications, specifically in the context of Physical Human- Robot Interaction (pHRI). Our methodology involves constructing mathematical models of the control components using Higher-order Logic (HOL) and analyzing them through deductive reasoning in the HOL Light theorem prover. We propose to model these control systems in terms of their block diagram representations, which in turn utlize the corresponding differential equations and their transfer function-based representation using the Laplace Transform (LT). These formally represented block diagrams are then analyzed through logical reasoning in the trusted environment of a theorem prover to ensure the correctness of the results. For illustration, we present a real-world case study by analyzing the control system of the utrafilteration dialysis process. © 2025 IEEE.

关键词： Laplace transforms

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Necessity of X(Cross)-Blockchain System for Near Future Artificial Brain Society 4

Necessity of X(Cross)-Blockchain System for Near Future Arti...

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4th International conference on Electrical, computer, Communications and mechatronics engineering, ICECCME 2024

作者： Yoshikawa, Takashi Kindai University Technical College Department of Comprehensive Engineering shi Mie Nabari Japan

ISBN: (纸本)9798350391183

In recent years, advances in science and technology have been remarkable. While advances in science and technology have made the world more convenient, there are also problems associated with it. In the near future, people will need to simultaneously control themselves, their cyberspace selves, and the robots and androids belonging to person. Additionally, as medicine progresses, genetic manipulation and the evolution of organoids make it difficult to guarantee individual species. Additionally, as AI technology advances, the threat of AI dominating society also emerges. Furthermore, artificial brains will appear, and the era of brain-To-brain communication will appear. In such background, information management becomes extremely difficult. Data management using blockchain is optimal from the viewpoint of data robustness, block management, and distributed management. Data management using blockchain is optimal from the viewpoint of data robustness, block management, and distributed management. However, traditional blockchain can only manage one-dimensional data information. To solve this problem, it is necessary to add some accompanying information to the data itself, such as the validity of the master-slave relationship. We have devised an algorithm for X (cross) blockchain, which composes several blockchains and shares their information. © 2024 IEEE.

关键词： Information management

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Analysis of Cervical Spine Load due to the Presence of Headrest in Assist Device for Overhead Work 11

Analysis of Cervical Spine Load due to the Presence of Headr...

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11th International conference on mechatronics and Robotics engineering, ICMRE 2025

作者： Ishii, Chiharu Hirasawa, Kanta Hosei University Department of Mechanical Engineering Tokyo Japan Graduate School of Science and Engineering Hosei University Tokyo Japan

ISBN: (纸本)9798331509293

In our previous study, assist device equipped with headrest for overhead work was developed. In this paper, effect of the headrest for reducing burden on the neck when performing overhead work was investigated based on static analysis and dynamic analysis. In the static analysis, cervical spine load model was proposed, and the burden on the neck was evaluated statically. As results, it was verified that moment around C2/C3 intervertebral disc, and compressive force and shear force at the C2/C3 intervertebral disc were reduced due to the presence of the headrest. In the dynamic analysis, the motion of lowering arms when performing overhead work was created using the code of musculoskeletal model analysis software 'AnyBody Modeling System', and burden on the cervical spine was evaluated dynamically using AnyBody Modeling System. As results, it was verified that amount of muscle activity of sternocleidomastoid muscle, and compressive force and shear force at the C2/C3 intervertebral disc were reduced due to the presence of the headrest. Thus, usefulness of the headrest in the assist device for overhead work for reducing the burdens on the neck was demonstrated. © 2025 IEEE.

关键词： Creatinine

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Optimizing Multi-Agent System Swarm Performance Through Explainable AI 11

Optimizing Multi-Agent System Swarm Performance Through Expl...

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11th International conference on mechatronics and Robotics engineering, ICMRE 2025

作者： Mahmud, Shekhar Kutlu, Mustafa Alan, Alper Turan Military Technological College System Engineering Department Muscat Oman Sakarya University of Applied Sciences Mechatronics Engineering Department Sakarya Turkey International University of Kuwait Computer Science & Cybersecurity Department Kuwait City Kuwait

ISBN: (纸本)9798331509293

Advancements in multi-agent systems (MAS) have enabled swarm-based systems to perform decentralized decision-making and autonomous tasks. However, optimizing their performance while ensuring transparency and interpretability remains a challenge. This paper introduces a framework that combines Bayesian optimization with Explainable Artificial Intelligence (XAI) techniques to enhance both the efficiency and transparency of MAS swarms. The Bayesian optimization framework fine-tunes agent parameters to improve swarm metrics such as energy efficiency, task completion time, and coordination success. The experimental results show significant improvements: a 25% increase in the coordination success rate, a 15% increase in energy efficiency, and a 20 % reduction in task completion time. XAI techniques, including SHAP values, provide interpretable explanations for optimization decisions, improving user trust and understanding. This study demonstrates the efficacy of integrating Bayesian optimization with XAI to create transparent, efficient, and reliable MAS swarms. Future work should address scalability and implications in dynamic environments. © 2025 IEEE.

关键词： Multi agent systems

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An Adaptive Intrusion Detection System in Industrial Internet of Things(IIoT) using Deep Learning 1

An Adaptive Intrusion Detection System in Industrial Interne...

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1st International conference on Innovative Sustainable Technologies for Energy, mechatronics and Smart Systems, ISTEMS 2024

作者： Jyothi, E.V.N. Kranthi, M. Sailaja, S. Sesadri, U. Koka, Sridhar N. Reddy, Pundru Chandra Shaker Rise Krishna Sai Prakasam Group of Institutions Computer Science and Engineering A.P Ongole India Karunya Institute of Technology and Sciences Computer Science and Engineering Tamilnadu Coimbattore India Rise Krishna Sai Prakasam Group of Institutions A.P Ongole India Vardhaman College of Engineering Computer Science and Engineering Telangana Hyderabad India Andhra University Computer Science and Engineering Andhra Pradesh Visakhapatnam India School of Computer Science and Artificial Intelligence Sr University Telangana Warangal India

ISBN: (纸本)9798350384246

The Industrial-Internet-of-Things (IIoT) is a product of the extensive use of the Internet-of-Things(IoT) in vital industries including manufacturing and industrial production. To improve industrial and manufacturing processes, the IIoT integrates sensors, actuators, and smart tools that can interact with each other. There are many advantages to IIoT for service providers and customers alike, but privacy and security are still major concerns. Cyberattacks in such a network have been reduced with the use of an intrusion detection system (IDS). Nevertheless, several current IIoT intrusion detection systems (IDS) suffer from issues such as an incomplete list of the network's attack kinds, an excessive number of features, models constructed using outdated datasets, and an absence of attention to the issue of imbalanced datasets. Our proposed intelligent recognition system can spot cyberattacks in IIoT-networks, which will help with the difficulties. Singular value decomposition (SVD) is employed by the suggested model to decrease data characteristics and enhance detection outcomes. If we want to keep our classifications from being biased due to over-fitting or under-fitting, we employ the SMOTE method. Data has been classified using a number of deep learning and machine learning techniques for both binary and multi-class purposes. We test the suggested intelligent model on the ToN_ IoT dataset to see how well it performs. With the suggested method, we were able to achieve a 99.98% accuracy rate and a lowered error rate of 0.016% for multi-class classification, and a 0.001 % reduction in the error rate for binary classification. © 2024 IEEE.

关键词： Internet of things

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Simulation-Based Design of DDS Ownership QoS for Autonomous Driving Control Systems 11

Simulation-Based Design of DDS Ownership QoS for Autonomous ...

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11th International conference on mechatronics and Robotics engineering, ICMRE 2025

作者： Cha, Sung Keun Oh, Sung Bhin Hong, Hyeong Keun Jeon, Jae Wook Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of

ISBN: (纸本)9798331509293

In this study, we designed a control management mechanism for autonomous vehicles by utilizing the ownership Quality of Service (QoS) of Data Distribution Service (DDS) and implemented and experimentally verified it based on FastDDS. By setting priorities among the three control modes of manual control, Advanced Driver Assistance System (ADAS) control, and emergency control based on ownership strength, we prevented data conflicts and enabled fast and accurate control switching even in emergency situations. The experimental results show that the proposed system minimizes the control transition latency. Also, it effectively guarantees the message throughput and demonstrates its practical applicability in safety-centric systems such as autonomous driving. This research will provide future possibilities for extending ownership QoS in complex environments such as multi-vehicle cooperative driving and vehicle-infrastructure communication. It also aims to contribute to improving the reliability and efficiency of autonomous driving technologies. © 2025 IEEE.

关键词： Direct digital control systems

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Probabilistic Energy Management of Multi-Microgrid Considering Demand Response and Energy Storage System 4

Probabilistic Energy Management of Multi-Microgrid Consideri...

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4th International conference on Electrical, computer, Communications and mechatronics engineering, ICECCME 2024

作者： Alamir, Nehmedo Kamel, Salah Abdelkader, Sobhy M. Jurado, Francisco Egypt-Japan University of Science and Technology Electrical Power Engineering Dept. New Borg El-arab Egypt Aswan University Faculty of Engineering Electrical Engineering Dept. Aswan Egypt Jaen University Electrical Engineering Dept. Spain

ISBN: (纸本)9798350391183

The emergence of the Multi-Microgrid (MMG) concept can be attributed to the increased interaction between Microgrids (MGs). To tackle the intermittency of renewable energy resources (RES) and enhance the dependability and stability of the system, Energy Storage Systems (ESSs) play a crucial role. This paper focuses on solving the energy management (EM) problem of MMGs using various optimization algorithms. The objectives of the EM system (EMS) are to minimize costs and maximize benefits by incorporating demand response (DR). To determine the most effective algorithm for solving the EM problem, a comparison is made between different recently developed and well-known algorithms. Furthermore, an economic evaluation is conducted to assess the integration of Battery Energy Storage Systems (BESS) and Hydrogen Energy Storage Systems (HESS). Additionally, the uncertain nature of MMG resources is taken into account using the point estimation method (PEM) technique. © 2024 IEEE.

关键词： Demand response

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Improving science That Uses Code

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computer JOURNAL 2023年第4期67卷 1381-1404页

作者： Thimbleby, Harold Swansea Univ Swansea Wales

As code is now an inextricable part of science it should be supported by competent Software engineering, analogously to statistical claims being properly supported by competent statistics. If and when code avoids adequate scrutiny, science becomes unreliable and unverifiable because results - text, data, graphs, images, etc - depend on untrustworthy code. Currently, scientists rarely assure the quality of the code they rely on, and rarely make it accessible for scrutiny. Even when available, scientists rarely provide adequate documentation to understand or use it reliably. This paper proposes and justifies ways to improve science using code: 1. Professional Software Engineers can help, particularly in critical fields such as public health, climate change and energy. 2. 'Software engineering Boards,' analogous to Ethics or Institutional Review Boards, should be instigated and used. 3. The Reproducible Analytic Pipeline (RAP) methodology can be generalized to cover code and Software engineering methodologies, in a generalization this paper introduces called RAP+. RAP+ (or comparable interventions) could be supported and or even required in journal, conference and funding body policies. The paper's Supplemental Material provides a summary of Software engineering best practice relevant to scientific research, including further suggestions for RAP+ workflows. 'science is what we understand well enough to explain to a computer.' Donald E. Knuth in A = B [1] 'I have to write to discover what I am doing.' Flannery O'Connor, quoted in Write for your life [2] 'Criticism is the mother of methodology.' Robert P. Abelson in Statistics as Principled Argument [3] 'From its earliest times, science has operated by being open and transparent about methods and evidence, regardless of which technology has been in vogue.' Editorial in Nature [4]

关键词： Computational science Software engineering reproducibility scientific scrutiny reproducible analytic pipeline (RAP & RAP plus )

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Enhancing Movement Directions Decoding in EEG-BCI through Force Feedback 30

Enhancing Movement Directions Decoding in EEG-BCI through Fo...

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30th International conference on mechatronics and Machine Vision in Practice, M2VIP 2024

作者： Li, Zhiying Zhao, Jinqiu Yu, Jingwan Sun, Chenyang Lu, Xiaohan Li, Xuehan Zhang, Mingming Chen, Yi-Feng Southern University of Science and Technology Department of Biomedicial Engineering Shenzhen China Harbin Institute of Technology Shenzhen Department of Mechanical Engineering Shenzhen China Southern University of Science and Technology Shenzhen Key Laboratory of Smart Healthcare Engineering Department of Biomedicial Engineering Shenzhen China

ISBN: (纸本)9798350391916

In advancing brain-computer interface (BCI), force feedback has demonstrated potential in enhancing neurophysiological interactions during motor tasks. This study investigated the impact of force feedback on brain activity and the accuracy of decoding movement direction. We developed an electroencephalogram (EEG)-based BCI paradigm with four levels of force feedback (i.e., 0 N, 8 N, 16 N, 24 N) applied during right-hand movements to left and right directions. Six participants were involved to ensure robust results. Three deep learning models - DeepConvNet, ShallowConvNet, and EEGNet - were used to decode movement directions. Findings from event-related desynchronization/event-related synchronization (ERD/ERS) and movement-related cortical potentials (MRCPs) indicated that increased force feedback significantly enhanced the brain's response to motor stimuli. The decoding results revealed that force feedback notably improved decoding accuracy of DeepConvNet and EEGNet, particularly under medium and high-intensity conditions. Specifically, three models demonstrated accuracy improvements of 11%, 4%, and 12% under high-intensity force feedback, respectively. These results suggest that specific force feedback enhances motor area responsiveness, improving movement intention decoding in BCI. Our study confirms the positive impact of force feedback on BCI performance, highlighting the potential of force feedback-based BCI systems. © 2024 IEEE.

关键词： Brain computer interface

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Analysis of spring deformation under multi-channel action 3

Analysis of spring deformation under multi-channel action

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3rd International conference on mechatronics and Mechanical engineering, ICMME 2024

作者： Zhang, Hao Palaoag, Thelma D. Department of Computer Science University of the Cordilleras Baguio City Philippines Shaanxi Polytechnic Institute Shaanxi Xianyang China

ISBN: (纸本)9781510681651

Spring is a kind of elastic element widely used in various fields and also has a large number of applications in many high-temperature equipment. The bearing situation and working environment of spring in engineering use are complicated, which brings difficulties in studying and predicting its effectiveness. In this paper, stress relaxation experiments are carried out on stainless steel at temperatures of 300°C, 500°C and 600°C, and initial loads of 100MPa, 145MPa and 190MPa, respectively. The effects of temperature and initial load on stress relaxation behaviour are studied, and creep constitutive equations are obtained by using stress relaxation curves. The stress relaxation failure form of spring is simulated by Abaqus software. The stress relaxation curve of the spring at 500°C is obtained. It is found that with the increase of initial load and temperature, the relaxation amount increases, the stress relaxation rate becomes faster, and the material is more prone to deformation. The stress relaxation of the material is the result of the joint action of temperature and stress. At this time, the stress is concentrated on the inner side, which shows that the inner side of the spring is more vulnerable to damage under long-term load and high temperature. After 80 hours, the stress relaxation phenomenon tends to be stable at high temperatures. This conclusion provides a theoretical basis for the deformation of springs in high temperature or complex environments, and also provides technical support for the application scenarios of springs. © 2024 SPIE.

关键词： ABAQUS

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