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5th National and the 1st International Conference on Applied Research in Electrical engineering, AREE 2025

作者： Safdari, Amirhossein Mansouri, Amirhosein Fazli, Mohammad Javad Zarafshan, Payam Alipour, Khalil Tarvirdizadeh, Bahram College of Interdisciplinary Science and Technology University of Tehran School of Intelligent Systems Department of Mechatronics Engineering Tehran Iran Shahid Beheshti University Faculty of Mechanical and Energy Engineering Department of Renewable Energy Engineering Tehran Iran University of Tehran School of Mechanical Engineering College of Engineering Tehran Iran Western Sydney University School of Engineering Design and Built Environment Sydney Australia

ISBN: (纸本)9798350377170

Controllers act as a bridge between the operator and the system, allowing the operator to communicate with the system as if it were a human. In other words, the controller is like the thinking brain of an industrial process. A controller communicates all the commands that an expert wants to apply to the system to follow its standard flow process and ultimately achieve the desired response. When industrial processes are left alone and without a controller in the control loop, they typically do not give satisfactory responses in terms of transient or steady-state characteristics. Therefore, the selection and programming of an appropriate controller is one of the most important steps in an industrial process. One of the most widely used and well-known controllers is the PID controller, whose gains are often determined experimentally or through trial and error. However, finding the optimal gains is always a challenge. In this study, for the first time, the optimal gains of the PID controller are determined using Lion Optimization Algorithm (LOA). This research has introduced a systematic and efficient approach to achieving optimal control of mechatronic systems. © 2025 IEEE.

关键词： Three term control systems

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Discussion of Teleoperation Support System Design Guideline for Working Robot in Radiation Narrow Environment 23

Discussion of Teleoperation Support System Design Guideline ...

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23rd International Conference on Control, Automation and systems, ICCAS 2023

作者： Kobayashi, R. Yoshimi, T. Graduate School of Engineering and Science Shibaura Institute of Technology Functional Control Systems Course Tokyo135-8548 Japan College of Engineering Shibaura Institute of Technology Department of Electrical Engineering Tokyo135-8548 Japan

ISBN: (纸本)9788993215274

In this work, we propose a design guideline of teleoperation support system for working robots in radiation narrow environments. The proposed guideline is discussed to configure the robot system with as few sensors as possible because of decreasing the sensor failure risk by high radiation. This paper describes discussion results of the guideline candidate, focusing on relationship between the required information for robot teleoperation and number of sensors that consists of the support system. Additionally, we present some support systems that were developed for an inspection or an investigation of nuclear power plants as development cases. As a result of the guideline calculation for each development cases, we confirmed that the proposed guideline increases as the required radiation tolerance is high, and the support system is classified by the guideline. In case that the torelance is more than 200 Gy, available sensors are limited, and a sensor-saving configuration is adopted to decrease the robot failur risk by using in combination with a sensor for the robot operation. © 2023 ICROS.

关键词： Remote control

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Forgive and forget: Self-stabilizing swarms in spite of Byzantine robots

Forgive and forget: Self-stabilizing swarms in spite of Byza...

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作者： Ashkenazi, Yotam Dolev, Shlomi Kamei, Sayaka Ooshita, Fukuhito Wada, Koichi Department of Computer Science Ben-Gurion University of the Negev Beersheba Israel Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Japan Graduate School of Science and Technology Nara Institute of Science and Technology Nara Japan Department of Applied Informatics Faculty of Science and Engineering Hosei University Tokyo Japan

In this article, we consider the case in which a swarm of robots collaborates in a mission, where a few of the robots behave maliciously. These malicious Byzantine robots may be temporally or constantly controlled by an adversary. The scope is synchronized full information robot operations, where a robot that does not follow the program/policy of the swarm is immediately identified and can be remembered as Byzantine. As robots may be suspected of being Byzantine due to benign temporal malfunctions, it is imperative to forgive and forget, otherwise, a robot cannot assume collaborative actions with any other robot in the swarm. Still, remembering for a while may facilitate a policy of surrounding, isolating and freezing the movement of the misbehaving robots, by several robots, allowing the rest to perform the swarm task with no intervention. We demonstrate the need to periodically forgive and forget to realize swarm several tasks including patrolling/cleaning in the presence of possible Byzantine robots. The policy for achieving the task consists of blocking the movement of the Byzantine robot(s) by some of the robots, while the rest patrol/clean the plane. © 2020 John Wiley & Sons, Ltd.

关键词： Robots

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Ultra-Low-Latency Video Coding with Reduced Frame Memory Structure for 4K/8K High-Resolution Video 12

Ultra-Low-Latency Video Coding with Reduced Frame Memory Str...

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12th IEEE Global Conference on Consumer Electronics, GCCE 2023

作者： Yamaguchi, Mai Yamakawa, Mai Mochizuki, Seiji Imamura, Kousuke Kanamoto, Toshiki Matsumura, Tetsuya Nihon University Graduate School of Engineering and Technology Fukushima Japan Kanazawa University College of Science and Engineering Ishikawa Japan Hirosaki University Faculty of Science and Engineering Aomori Japan Osaka Sangyo University Faculty of Engineering Osaka Japan Nihon University College of Engineering Fukushima Japan

ISBN: (纸本)9798350340181

In recent years, with the increasing demand for low-latency transmission of high-resolution video in various applications such as autonomous driving and virtual reality (VR), efficient low-latency encoding methods are needed. We previously reported a line-based video encoder for Full-HD with ultra-low-latency on the order of microseconds. This paper introduces a newly developed ultra-low-latency video encoding method designed to support 4K/8K high-resolution video. Our approach incorporates inter-frame prediction from the same position of the previous frame with the Reduced Frame Memory Structure (RFMS). This structure provides scalability while enhancing the compression ratio, even in situations with insufficient frame memory for larger 4K/8K video data. In addition, we apply a context-based adaptive VLC to further improve the compression ratio for 4K and 8K resolutions. These features achieve compression ratios of 10.19% and 9.20% at 40.82 dB and 40.63 dB of image quality for 4K and 8K, respectively. © 2023 IEEE.

关键词： Virtual reality

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Evaluation of biomimetic assist suits on cross-slope walking

Evaluation of biomimetic assist suits on cross-slope walking

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

作者： Iguchi, Shotaro Omori, Kanta Ono, Toma Todaka, Takeru Abe, Isao Kikuchi, Takehito Oita University Graduate School of Engineering 700 Dannoharu Oita8701-192 Japan Oita University Faculty of Science and Technology 700 Dannoharu Oita870-1192 Japan

ISBN: (纸本)9798331531614

In cross-slope walking, gait differs between uphill and downhill slopes. Furthermore, because ankle sprains and other injuries are more likely to occur during cross-slope walking, assistance is required to prevent falls, ankle joint sprains, and the removal of load from the muscles involved in knee joint motion. This assistance differs between uphill and downhill slope walking. We developed biomimetic assist suits (BAS) by combining a semi-active knee joint, which assists knee joint motion, and dual axial ankle supporter, which assists ankle motion. BAS was developed to provide knee and ankle support during cross-slope walking. A walking experiment with 14 participants was conducted to verify the effectiveness of BAS. The experimental results showed that BAS could reduce the difference between the maximum and minimum angles in inversion/eversion and plantar dorsiflexion during the swing phase, protecting the ankle joint, limiting the ankle joint angle in the elastic connector, and adjusting the assisting direction mechanism. © 2025 IEEE.

关键词： Joints (anatomy)

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BubblEat: Designing a Bubble-Based Olfactory Delivery for Retronasal Smell in Every Spoonful

BubblEat: Designing a Bubble-Based Olfactory Delivery for Re...

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2025 CHI Conference on Human Factors in Computing systems, CHI EA 2025

作者： Mayumi, Daiki Nakamura, Yugo Matsuda, Yuki Yasumoto, Keiichi Nara Institute of Science and Technology Nara Japan Graduate School Faculty of Information Science and Electrical Engineering Kyushu University Fukuoka Japan Faculty of Environmental Life Natural Science and Technology Okayama University Okayama Japan Graduate School of Science and Technology Nara Institute of Science and Technology Nara Ikoma Japan

ISBN: (纸本)9798400713958

Traditional olfactory delivery methods, such as airflow, vaporization, heating, and atomization, struggle to effectively deliver retronasal smell during eating. This study introduces BubblEat, a cutlery device that places aroma-infused bubbles on a spoon, releasing scents upon bursting in the mouth to enhance retronasal olfactory perception. To optimize bubble-based aroma delivery, we examined liquid viscosity, key factors influencing stability and aroma release. Based on these findings, we developed a BubblEat prototype with a bubble generation mechanism capable of delivering stable, user-friendly aroma-infused bubbles. We designed BubblEat to achieve enhancing dining experiences by effectively presenting retronasal smells. This study demonstrates the feasibility of bubble-based aroma delivery, complementing orthonasal smell and opening new avenues for sensory-enhanced dining. © 2025 Copyright held by the owner/author(s).

关键词： Odor removal

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Synergistic Effect of Different Plastic Deformation Modes: Molecular Dynamics Study on Strength of Crystalline/Amorphous Mixed systems

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Zairyo/Journal of the Society of Materials science, Japan 2022年第2期71卷 135-142页

作者： Shimokawa, Tomotsugu Hara, Kazuki Niiyama, Tomoaki Faculty of Mechanical Engineering Institute of Science and Engineering Kanazawa University Kakuma-machi Kanazawa920-1192 Japan Division of Mechanical Science and Engineering Graduate School of Natural Science and Technology Kanazawa University Kakuma-machi Kanazawa920-1192 Japan

In order to investigate the synergistic effect of different deformation modes (dislocations and local atomistic rearrangements) on the strength of mixed crystalline and amorphous materials, tensile and compressive deformation analyses of a two-dimensional binary system with various microstructures were carried out using molecular dynamics simulations. The binary system is composed of atoms with two different atomic radii. By varying the mixing ratio and the interaction force between different atoms, 66 binary system models with various structures are represented, and each model is classified into three categories: crystalline, amorphous, and mixed crystalline/amorphous models by structural analysis. Deformation analysis shows that the strength of the mixed crystalline/amorphous models tends to be weaker than that of the crystal and amorphous models. The reason for this is that the edge of the force chain in the amorphous phase appears at the crystalline/amorphous interface, where dislocation release from the interface to the crystalline phase occurs easily. © 2022 Society of Materials science Japan. All rights reserved.

关键词： Molecular dynamics

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Automatic Detection of Puncture Needle from CT Image with Deep Learning and Difference of CT Value Along Craniocaudal Direction

Automatic Detection of Puncture Needle from CT Image with De...

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2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Kobayashi, Seiya Toda, Yuichiro Matsuno, Takayuki Mayumi, Kotaro Muramoto, Wataru Fujitsuka, Nozomu Tanaka, Takaaki Kamegawa, Tetsushi Hiraki, Takao Graduate School of Environmental Life Natural Science and Technology Okayama University Okayama Japan Okayama University Faculty of Environmental Life Natural Science and Technology Okayama Japan Graduate School of Natural Science and Technology Okayama University Okayama Japan Okayama University Faculty of Interdisciplinary Science and Engineering in Health Systems Okayama Japan Okayama University Faculty of Medicine Dentistry and Pharmaceutical Sciences Okayama Japan

ISBN: (纸本)9798350337020

We have developed a CT guided needle puncture robot (Zerobot) to assist in interventional radiology surgery. Currently, Zerobot is operated remotely, and the next goal is to perform automatic needle puncture surgery. There is a challenge that automatic detection of puncture needle from CT images for first step of automatic puncture surgery. Because there is the case that the form of puncture needle is curved, it is necessary to detect the needle from CT image instead of estimating the needle position from arm of Zerobot. First, the method detects ROI with ResNet. Next, difference of the CT value is calculated for each pixel in the ROI, and a linear approximation is performed for to detect the needle shape. Images from animal experiments were used to evaluate the learner and image processing. We confirmed that the proposed method can detect needles in a single image and in multiple images. © 2023 IEEE.

关键词： computed tomography deep learning image processing Interventional radiology

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Peridynamic-based modeling of elastoplasticity and fracture dynamics

Peridynamic-based modeling of elastoplasticity and fracture ...

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作者： Wang, Haoping Wang, Xiaokun Xu, Yanrui Zhang, Yalan Yao, Chao Guo, Yu Ban, Xiaojuan School of Intelligence Science and Technology University of Science and Technology Beijing Beijing China Faculty of Science and Engineering University of Groningen Groningen Netherlands School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Beijing Advanced Innovation Center for Materials Genome Engineering School of Intelligence Science and Technology University of Science and Technology Beijing Beijing China Key Laboratory of Intelligent Bionic Unmanned Systems Ministry of Education University of Science and Technology Beijing Beijing China Institute of Materials Intelligent Technology Liaoning Academy of Materials Shenyang China

This paper introduces a particle-based framework for simulating the behavior of elastoplastic materials and the formation of fractures, grounded in Peridynamic theory. Traditional approaches, such as the Finite Element Method (FEM) and Smoothed Particle Hydrodynamics (SPH), to modeling elastic materials have primarily relied on discretization techniques and continuous constitutive model. However, accurately capturing fracture and crack development in elastoplastic materials poses significant challenges for these conventional models. Our approach integrates a Peridynamic-based elastic model with a density constraint, enhancing stability and realism. We adopt the Von Mises yield criterion and a bond stretch criterion to simulate plastic deformation and fracture formation, respectively. The proposed method stabilizes the elastic model through a density-based position constraint, while plasticity is modeled using the Von Mises yield criterion within the bond of particle paris. Fracturing and the generation of fine fragments are facilitated by the fracture criterion and the application of complementarity operations to the inter-particle connections. Our experimental results demonstrate the efficacy of our framework in realistically depicting a wide range of material behaviors, including elasticity, plasticity, and fracturing, across various scenarios. © 2024 John Wiley & Sons Ltd.

关键词： Elastoplasticity

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Deep learning on medical image analysis

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CAAI Transactions on Intelligence technology 2025年第1期10卷 1-35页

作者： Jiaji Wang Shuihua Wang Yudong Zhang School of Computing and Mathematical Sciences University of LeicesterLeicesterUK Department of Biological Sciences Xi'an Jiaotong-Liverpool UniversitySuzhouJiangsuChina Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia School of Computer Science and Engineering Southeast UniversityNanjingJiangsuChina

Medical image analysis plays an irreplaceable role in diagnosing,treating,and monitoring various *** neural networks(CNNs)have become popular as they can extract intricate features and patterns from extensive *** paper covers the structure of CNN and its advances and explores the different types of transfer learning strategies as well as classic pre-trained *** paper also discusses how transfer learning has been applied to different areas within medical image *** comprehensive overview aims to assist researchers,clinicians,and policymakers by providing detailed insights,helping them make informed decisions about future research and policy initiatives to improve medical image analysis and patient outcomes.

关键词： CNN deep learning medical image transfer learning

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