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2024 International Conference on Machine Learning, Pattern Recognition and Automation engineering, MLPRAE 2024

作者： Rao, Jinjun Wang, Cong Liu, Mei Lei, Jingtao Giernacki, Wojciech Department of Precision Mechanical Engineering School of Mechatronic Engineering and Automation Shanghai University China Institute of Robotics and Machine Intelligence Faculty of Automatic Control Robotics and Electrical Engineering Poznan University of Technology Poland

ISBN: (纸本)9798400709876

Aiming at the problem that the combination of self-play (SP) and deep reinforcement learning (DRL) only involves two-party games and the policy learning of each party is limited, a multi-party asymmetric self-play algorithm (MASP) is proposed. Firstly, by improving the ELO scoring system, the ELO scoring takes into account each party of the unmanned surface vehicle (USV) clusters, and the imbalance of the number of USV clusters, so that the frequency of exchanging strategies of all USV clusters in the confrontation process is equal. Secondly, it ensures that USV clusters have a balanced combat ability, and at the same time ensures that the combat ability of all parties is strong and weak and the gap is not too wide. In addition, the parameters are dynamically set to reduce the update frequency of the policy of the stronger party. The experimental results show that the MASP can make the USV clusters learn more effective policies, have a shorter game time, and obtain higher rewards and ELO scores in the simple 2v2 adversarial game scenario and the three-party game scenario of a warship escort mission. © 2024 ACM.

关键词： Deep reinforcement learning

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Effect of Brass Content and Speed of Cut on Machining Outcomes of Copper–2% Silver Alloy

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Journal of The Institution of Engineers (India): Series D 2024年 1-7页

作者： Prashanth, Mrudula Prasad, N. J. Krishna Kumar, B. S. Ajay Satish, N. Department of Industrial Engineering and Management Bangalore Institute of Technology Bengaluru Visveswaraya Technological University Belgaum India Department of Mechanical Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India Department of Mechanical Engineering Bangalore Institute of Technology Bengaluru Visveswaraya Technological University Belagavi Karnataka India Department of Robotics and Artificial Intelligence Bangalore Institute of Technology Bengaluru Visveswaraya Technological University Belagavi India

Copper is one of the ductile materials which is difficult to machine, but extensively used in variety of applications such as electrical, thermal and nuclear. Turning is one of the predominantly used lathe operation, and the current work focuses on turning different alloys of copper at various compositions of alloying elements to investigate the effect of the machining parameter, i.e. speed of cut on cutting force, thrust force, unit power consumption and machinability which marks the effect as machining outcomes. The work also focuses on the effect of the alloys formed out of varying compositions of brass on the machining outcomes of copper–2wt% silver alloy. The work concludes on, the forces exerted on tool, unit power consumption and machinability to be least at 9% brass addition to copper silver alloy. © The Institution of Engineers (India) 2024.

关键词： Brass

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Enhanced Optimal Control of a Magnetically Actuated Capsule Endoscope Using Electromagnetic Coils Considering Small Intestine Dynamics 12

Enhanced Optimal Control of a Magnetically Actuated Capsule ...

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12th RSI International Conference on robotics and Mechatronics, ICRoM 2024

作者： Jamali, Mahdi Zarifi Khameneh, Mohammadreza Sarkhosh, Mohammadhossein Pishkenari, Hossein Nejat Sharif University of Technology Micro/Nano Robotics Laboratory Department of Mechanical Engineering Tehran Iran

ISBN: (纸本)9798331529734

Active locomotion of capsule endoscopes has become a prominent progress in minimally invasive diagnostic procedures. Utilizing external magnetic fields for this purpose enables contactless actuation and enhanced maneuverability. This study presents an optimal control technique for magnetically actuated capsule endoscopes (MACE) within the small intestine, using a modified OCTAMAG setup. The objective is to minimize input currents while ensuring accurate path tracking, thereby preventing coil overheating and avoiding actuation inaccuracies. A correction force is also incorporated into the controller to stabilize it against external disturbances. The proposed method is evaluated using a path inspired by the small intestine and compared to conventional PID control. Results show that the optimal controller achieves superior path tracking while maintaining input currents within safe limits. Additionally, the disturbance rejection capabilities of the optimal controller are comparable to those of the PID. © 2024 IEEE.

关键词： Disturbance rejection

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Enhancing the Versatility and Performance of Soft Robotic Grippers, Hands, and Crawling Robots Through Three-Dimensional-Printed Multifunctional Buckling Joints

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Soft robotics 2024年第5期11卷 741-754页

作者： Yang, Chih-Wen Ou Yu, Shao-Yi Chan, Che-Wei Tseng, Chien-Yao Cai, Jing-Fang Huang, Han-Pang Juang, Jia-Yang Department of Mechanical Engineering National Taiwan University Taipei Taiwan Department of Mechanical Engineering University of California at Berkeley BerkeleyCA United States Program in Nanoengineering and Nanoscience Graduate School of Advanced Technology National Taiwan University Taipei Taiwan

Soft robotic grippers and hands offer adaptability, lightweight construction, and enhanced safety in human–robot interactions. In this study, we introduce vacuum-actuated soft robotic finger joints to overcome their limitations in stiffness, response, and load-carrying capability. Our design—optimized through parametric design and three-dimensional (3D) printing—achieves high stiffness using vacuum pressure and a buckling mechanism for large bending angles (>90◦) and rapid response times (0.24 s). We develop a theoretical model and nonlinear finite-element simulations to validate the experimental results and provide valuable insights into the underlying mechanics and visualization of the deformation and stress field. We showcase versatile applications of the buckling joints: a three-finger gripper with a large lifting ratio (*96), a five-finger robotic hand capable of replicating human gestures and adeptly grasping objects of various characteristics in static and dynamic scenarios, and a planar-crawling robot carrying loads 30 times its weight at 0.89 body length per second (BL/s). In addition, a jellyfish-inspired robot crawls in circular pipes at 0.47 BL/s. By enhancing soft robotic grippers’ functionality and performance, our study expands their applications and paves the way for innovation through 3D-printed multifunctional buckling joints. © Mary Ann Liebert, Inc.

关键词： Grippers

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A Comparative Analysis of Electric Vehicles Charging-Discharging Topologies for Sustainable Energy 3

A Comparative Analysis of Electric Vehicles Charging-Dischar...

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3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024

作者： Sinha, Ashish Kumar Pushkarna, Mukesh Kumar, Prashant Gla University Institute of Engineering and Technology Department of Electrical Engineering Mathura India Dongguk University Department of Mechanical Robotics and Energy Engineering Seoul04620 Korea Republic of

ISBN: (纸本)9798331528201

Electric vehicles (EVs) have gained immense popularity in recent times owing to the decrease in conventional energy resource reserves and the concurrent threat to the environment caused from the harmful discharge of IC engine vehicles. EVs are mainly divided into the following three categories: pure electrical vehicles or battery electric vehicles, hybrid electrical vehicles, and fuel cell electrical vehicles. All these classifications have certain advantages and drawbacks associated with them. Based on the associated advantages and disadvantages, various aspects of EV performance have been scrutinized namely, design optimization, transmission performance optimization, battery management system (BMS) and charging technology to name a few. While all the abovementioned aspects affect the EV performance critically, BMS and charging technology have been the main area of concern for design engineers and researchers. Herein, two major charging topologies are prevalent, i.e. vehicle-to-grid (V2G) and grid-to-vehicle (G2V). Moreover, a third and fourth scheme of operation, namely, vehicle-to-home (V2H) and vehicle-to-vehicle (V2V) topology respectively, is also gaining importance off-late. With this view, the present manuscript aims to categorize, engulf and encapsulate the different EVs along with the existing charging technologies in EVs and BMS. This shall make the topic at hand easier to comprehend for the prospective future researchers. © 2024 IEEE.

关键词： Vehicle-to-grid

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Development of a Lightweight Real-Time Application for Dynamic Hand Gesture Recognition 20

Development of a Lightweight Real-Time Application for Dynam...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Yusuf, Oluwaleke Habib, Maki Program Department of Mechanical Engineering Cairo Egypt

ISBN: (纸本)9798350320831

Hand Gesture Recognition (HGR) is a form of perceptual computing with applications in human-machine interaction, virtual/augmented reality, and human behavior analysis. Within the HGR domain, several frameworks have been developed with different combinations of input modalities and network architectures with varying levels of efficacy. Such frameworks maximized performance at the expense of increased hardware and computational requirements. These drawbacks can be tackled by transforming the relatively complex dynamic hand gesture recognition task into a simpler image classification task. This paper presents a skeleton-based HGR framework that implements data-level fusion for encoding spatiotemporal information from dynamic gestures into static representational images. Said static images are subsequently processed by a custom, end-to-end trainable multi-stream CNN architecture for gesture classification. Our framework reduces the hardware and computational requirements of the HGR task while remaining competitive with the state-of-the-art on the CNR, FPHA, LMDHG, SHREC2017, and DHG142S benchmark datasets. We demonstrated the practical utility of our framework by creating a lightweight real-time application that makes use of skeleton data extracted from RGB video streams captured by a standard inbuilt PC webcam. The application operates successfully with minimal CPU and RAM footprint while achieving 93.46% classification accuracy with approximately 2s latency at 15 frames per second. © 2023 IEEE.

关键词： Network architecture

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Design of an Automatic Price Tag System for Web-Based Retail Business 9

Design of an Automatic Price Tag System for Web-Based Retail...

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9th International Conference on Information Management and Technology, ICIMTech 2024

作者： Liawatimena, Suryadiputra Gunawan, Devina Bina Nusantara University Automotive & Robotics Program Computer Engineering Department BINUS ASO School of Engineering Computer Science Deparment BINUS Graduate Program Master of Computer Science Jakarta11480 Indonesia Bina Nusantara University Automotive & Robotics Program Computer Engineering Department BINUS ASO School of Engineering Jakarta11480 Indonesia

ISBN: (纸本)9798350390025

Modern retail businesses face a significant challenge with the inefficiency of manually changing price labels on shelves. This manual process not only consumes valuable time and resources but also increases the likelihood of errors, leading to potential inaccuracies in pricing and a less streamlined shopping experience for customers. The proposed solution is the implementation of an Electronic Shelf Label (ESL) system that automatically displays the prices of goods on retail business shelves. This system connects a website (front end and back end) to e-paper via a Wi-Fi network and microcontroller, allowing retail business owners to update prices more easily. Additionally, buyers can search for desired items through the website. The results are the time to send data from the website to the e-paper, namely, to know the performance of the e-paper used. The average time required from 10 attempts to send data from the website to the e-paper is 20.935 seconds. Since the data is connected to the server and will be updated automatically, using this system will be more efficient than manually changing the price label, although it takes time to transfer data from the website to the e-paper. © 2024 IEEE.

关键词： Sales

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Traffic Signs Detection System Using YOLO (You Only Look Once) That Provides Notification 1

Traffic Signs Detection System Using YOLO (You Only Look Onc...

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1st International Conference on Smart Mechatronics, ICSMech 2024

作者： Setiawan, Yosua Puji, Muhammad Nurul Astuti, Winda Binus Aso School of Engineering Bina Nusantara University Automotive & Robotics Program Computer Engineering Department Jakarta11480 Indonesia

ISBN: (纸本)9798350368918

Road accidents have become a problem for many road users in many countries. It may affect human daily activity and tasks, potentially influencing productivity and safety. Therefore, reducing road accidents as swiftly and effectively as possible is critical. For this reason, a Traffic signs detection system has been developed in this work to improve road safety. The detection system can detect traffic signs on the road such as traffic lights, speed limits, and no U-turn signs, and then it will provide users with the corresponding text on an LCD and vibration feedback using a motor. Throughout this work, the You Only Look Once (YOLO) algorithm is proposed for detecting traffic signs on the road. Moreover, a camera is used to extract live videos which serve as an input for the Raspberry Pi 4 model B containing custom YOLOv5 and YOLOv8 models. The system then sends the output to an LCD, a vibration motor, and a radio frequency (RF) module as notifications for users. In the end, the performance of the proposed method has been collected and it is found to produce good accuracy within an inconsiderable amount of 1.677 images and 2.263 annotations. Therefore, the accuracy of 0.69 for YOLOv5 and 0.7 for YOLOv8 were obtained from the training and validation process. Furthermore, the system accurately detects the traffic signs on the road. © 2024 IEEE.

关键词： Traffic signs

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Development of Detection Lung Disease Stand Alone System Based on Convolutional Neural Network (CNN) 7

Development of Detection Lung Disease Stand Alone System Bas...

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7th International Conference of Computer and Informatics engineering, IC2IE 2024

作者： Liewarnata, Edgar Caesar Mariana, Yosica Tan, Sofyan Liawatimena, Suryadiputra Astuti, Winda Bina Nusantara University Binus Aso School of Engineering Automotive and Robotics Program Computer Engineering Department Jakarta11480 Indonesia Bina Nusantara University Binus Aso School of Engineering Product Design Program Industrial Engineering Department Jakarta11480 Indonesia Bina Nusantara University Binus Graduate Program - Master of Computer Science Automotive and Robotics Program Computer Engineering Department Binus Aso School of Engineering Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798331505530

Lung disease, especially Tuberculosis (TBC), placed the highest death rate in Indonesia. Tuberculosis (TB) in Indonesia is ranked second after India. Therefore, it is important to reduce or early detection of the lung disease, to prevent this disease and speed up handling. The system can recognize the disease lung identification, and the system applied as standalone system. In this work, the Convolutional Neural Network (CNN) approach for identifying diseases lung identification is proposed. The Mel Frequency Cepstral Coefficient (MFCC) applied to process the stethoscope sounds which will used as input to the CNN. The performance of the proposed system has been investigated and resulted. The accuracy of 99% and 98%, for training and testing accuracy respectively. Furthermore, the system accurately detects lung diseases identification. © 2024 IEEE.

关键词： Lung cancer

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Numerical Simulation Co-Firing Of EFB And LRC Injected At Different Burner Levels In Tangential Combustion-Type Pulverized Boilers 10

Numerical Simulation Co-Firing Of EFB And LRC Injected At Di...

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10th International Conference on Smart Computing and Communication, ICSCC 2024

作者： Agus Adi Saputra, I Nyoman Prabowo Setiyawan, Atok Bagus Wijaya Kusuma, I Gusti Ihsan, Sobar Darmawan, Arif Institut Teknologi Sepuluh Nopember Doctoral Program of Mechanical Engineering Department Surabaya Indonesia Institut Teknologi Sepuluh Nopember Mechanical Engineering Department Surabaya Indonesia Udayana university Mechanical Engineering Department Indonesia Indonesia

ISBN: (纸本)9798350363104

The exploration of biomass fuels is crucial for enhancing the economic value of solid waste from palm oil and mitigating the environmental impact of greenhouse gases emitted by power plants. This study conducted a numerical analysis on a pulverized coal (PC) boiler with co-firing at various burner positions. The numerical simulation results indicate that co-firing with empty fruit bunch (EFB) can enhance the ignition characteristics of Low Rank Coal (LRC). shown in the FEGT area an average increase in temperature of 0.2-0.45%. However, it should be noted that this temperature value is still within safe limits because it does not cause overheating of the heater. Furthermore, the formation of unburned particles can be reduced through the distribution of CO2. Additionally, the co-firing case 2 exhibits low NOx emissions, with a decrease rate of 24.6% when burner B is set at a condition of 1,63E-07. This condition is considered the most ideal as it is also accompanied by a significant reduction in SO2 emissions, ranging from 21.82% to 24.7%. © 2024 IEEE.

关键词： Coal

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