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检索条件"任意字段=3rd International Conference on Automation, Robotics and Computer Engineering, ICARCE 2024"

共 803 条记录，以下是51-60 订阅

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Rotational Symmetric Circular Split-Ring with Inductive Tail-Shaped Microwave Metamaterial Absorber for Aeronautical Radionavigation Applications 3

Rotational Symmetric Circular Split-Ring with Inductive Tail...

引用

3rd IEEE international conference on robotics, automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2024

作者： Chowdhury, Shubho Ray Ray Chowdhury, Apurba Islam, Tafhimul Hossain, Safayat Maimuna, Nazifa Khan, Md Mohsin University of Connecticut School of Mechanical Aerospace and Manufacturing Engineering CT06269 United States Department of Electronic and Telecommunication Engineering Chattogram Bangladesh American International University-Bangladesh Department of Industrial & Production Engineering Bangladesh

ISBN: (纸本)9798331534400

In this paper, a rotational symmetric, circular split-ring with an inductive tail-shaped microwave metamaterial absorber was proposed at resonance frequencies of 9.63 GHz, 11.14 GHz, 13.25 GHz, and 15.48 GHz for Aeronautical Radionavigation Applications. It shows an efficient result having single negative (SNG) metamaterial properties and subwavelength properties with maximum absorptions of 99.9%. The proposed design presented a significant improvement in absorption in broad incident angle polarization compared to other relative works. Moreover, the size of the proposed absorber is smaller than that of other works, which provides a good effective medium ratio (EMR) and can be easily placed in electronic devices, mainly in sensors. It is insensitive at wide co- and cross-polarizing angles of incident EM waves because it can absorb EM waves falling at different angles, i.e., 0 to 180 degrees, which benefited the absorber to apply it in other fields as well, like in Biomedical (Hyperthermia), Radar, Satellite (Ku Band), Defense and EMI/EMC reduction, polarization detectors, etc. We also analyzed the absorption with a proper RLC circuit designed on the basis of the surface current while showing absorption in each particular frequency. Further, this research can be expanded in the direction of beamforming with the integration of pin diode into the patch of the metamaterial absorber. © 2024 IEEE.

关键词： Beam forming networks

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Robot Teleoperation via Virtual Reality: A Unity and ROS Approach 3

Robot Teleoperation via Virtual Reality: A Unity and ROS App...

引用

3rd international conference on automation, robotics and computer engineering, icarce 2024

作者： Hernandez, Matheus Nicolás Ramos, Brenno Henrique Simoni, Roberto Negri, Doglas De Souza, Diego Trabasso, Luis Gonzaga Senai Innovation Institute for Manufacturing Systems Robotics Development Department Joinville Brazil Senai Innovation Institute for Manufacturing Systems Domingues Automation and Control Department Joinville Brazil Posecm Universidade Federal de Santa Catarina Ufsc Joinville Brazil

ISBN: (纸本)9798331529505

This paper explores the integration of virtual reality (VR) with teleoperation systems to enhance human-robot interaction. With the rise of remote operations, traditional methods often rely on two-dimensional interfaces, making it challenging to control robots in complex three-dimensional environments. This research presents a VR teleoperation system using the Meta Quest 2 headset, enabling immersive control of a climbing robot with six degrees-of-freedom and magnetic adhesion. The system architecture integrates Unity for virtual simulation and the Robot Operating System (ROS) for real-time communication and control. A virtual environment allows the user to control the virtual robot model through the VR headset and controllers, with ROS serving as the communication bridge between the virtual and physical robots, enabling effective operations in various applications, including high-risk environments (A video is available at https://***/MiZDOV4IfLA). © 2024 IEEE.

关键词： Virtual environments

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Qasync: A Dual Network Architecture for Value Based Multi-Agent Reinforcement Learning 3

Qasync: A Dual Network Architecture for Value Based Multi-Ag...

引用

3rd international conference on automation, robotics and computer engineering, icarce 2024

作者： Xu, Du Jia, Lu Wang, Yewei Liu, Qian Zhang, Yong School of Computer Science and Information Engineering Hefei University of technology Hefei China

ISBN: (纸本)9798331529505

In this work, we propose Qasync, a novel dual network framework for value-based multi-agent reinforcement learning, aimed at addressing the control decision-making issues of Connected Autonomous Vehicles (CAVs) in merge scenario. The core contributions of Qasync include the following two aspects: 1) Qasync extends QMIX by integrating a feedforward network, which reduces the limitations of QMIX's linearity assumption. 2) Qasync introduces a periodic mixing mechanism that combines Q-values from both networks, enabling Qasync to better capture non-linear relationships and enhance agents' exploration of diverse strategies. We evaluated Qasync using the SMARTS platform in a mixed traffic merging scenario, where autonomous vehicles must merge onto a two-lane road from a slip road, interacting with vehicles that randomly generated at the starting point to simulate realistic traffic conditions. Qasync was compared against several value-based baselines, including VDN, QMIX, and QTRAN, achieving average merging success rates of 80%, 89%, and 94%, respectively. Qasync achieved an overall merging success rate of 95%, demonstrating its ability to effectively handle complex traffic interactions and highlighting its potential for enhancing autonomous driving systems. © 2024 IEEE.

关键词： Network function virtualization

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Closed-Loop Individual Music Neurofeedback Based on Brain-computer Interaction for Student Stress Intervention 3

Closed-Loop Individual Music Neurofeedback Based on Brain-Co...

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3rd international conference on automation, robotics and computer engineering, icarce 2024

作者： Hu, Mengxuan Zhang, Jingxi Pei, Guangying Yan, Tianyi School of Medical Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9798331529505

Music neurofeedback is a non-invasive method for regulating neural activity and reducing stress based on brain-computer interface technology combined with music stimulation. However, the current music neurofeedback protocol is regulated by a single indicator, resulting in significant differences in individual effects. This study proposed a neurofeedback protocol based on personalized music selection and used three stress scales and two cognitive behavioral experiments to evaluate the stress regulation effect, and combined electroencephalogram (EEG) microstate analysis to explore the stress relief mechanism. Five university students participated in a five-session neurofeedback training. After the intervention, the results of the Depression-Anxiety-Stress Scale (DASS-21) and the Stroop task showed a significant decrease in the scores of stress-related symptoms and a significant improvement in response inhibition. The EEG results showed that the absolute power of the a band in the frontal and temporal lobes increased significantly, the coverage and duration of microstate C decreased significantly, and the duration of microstate D increased significantly, which was significantly correlated with the reduction of stress scores. Personalized music neurofeedback provides a potentially effective tool and innovative perspective for student stress management. The elucidation of spatiotemporal neurocognitive mechanisms provides a new theoretical framework for the development and optimization of neurofeedback protocols. © 2024 IEEE.

关键词： Stress relief

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Transfer Learning for Ultrasound-Based Kidney Stone (Urolithiasis) Detection with Augmented Regularization and Saliency Maps 3

Transfer Learning for Ultrasound-Based Kidney Stone (Urolith...

引用

3rd IEEE international conference on robotics, automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2024

作者： Shikdar, Omar Faruq Mily, Arifa Sultana Haque, Tanzia Islam, Ashraful Islam, Sujana Sazeda, Ruba East West University Department of Computer Science and Engineering Dhaka1212 Bangladesh

ISBN: (纸本)9798331534400

Urolithiasis, commonly known as kidney stones (KS), can have serious health implications. In 2019, around 115 million people around the world suffered from this disease. It is extremely important that the disease be diagnosed quickly. Among all the possible diagnostic imaging options, ultrasound is the safest option, as it has no risk of radiation. The goal of this study is to create a system that will detect kidney stones from ultrasound images. The dataset used in this research had 2 classes: normal (4414) and kidney stone (5002), in total 9416 images. The dataset was preprocessed applying proper methods such as resizing, rescaling, and center cropping and then split into train, validation, and test sets. We deployed four pretrained deep learning models, which are DenseNet201, ResNet50, InceptionV3, and MobileNetV3. Methods like MixUp and CutMix, known as augmented regularization, were used to make the model more robust. Hyperparameter tuning was done for optimal results. The layers of the pretrained model were frozen, and on top of them our CNN model was placed. The research was conducted using two methods: one where pretrained models were only used for feature extraction and another where pretrained models were fine-tuned for training. The highest accuracy of 99.73% was achieved by DenseNet. The model's output prediction has been explained by using saliency maps. After 1000 iterations, the 99% confidence interval for the model is [0.993,0.999]. © 2024 IEEE.

关键词： Ultrasonic imaging

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Design of an Intelligent Assisted Medical Robotic Arm

Design of an Intelligent Assisted Medical Robotic Arm

引用

automation, robotics and computer engineering (icarce), international conference on

作者： Heming Wang Chunhao Yu Nan Wang Bo Fu Bo Cui Liang Yang School of Mechanical and Civil Engineering Jilin Agricultural Science and Technology University Jilin China

ISBN: (数字)9798331529505

ISBN: (纸本)9798331529512

With the continuous development of science and technology and the aging trend of population, the accuracy, efficiency and safety of medical and manufacturing services have been put forward higher requirements. As an important branch in the field of productivity development, the robotic arm provides assistance to the development of manufacturing and medical fields by integrating advanced automation, sensor technology and precise mechanical structure design. In this paper, we design a kind of intelligent medical robot arm, realize the control of robot arm through visual recognition and voice recognition function, aiming to improve the quality of medical service and manufacturing production, reduce medical cost, reduce the waste of human resources, and promote the innovation and development of medical technology.

关键词： Technological innovation Medical robotics Costs automation Service robots Speech recognition Manipulators Robot sensing systems Manufacturing Medical diagnostic imaging

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Classification of Football Player Actions Using Sensing Data 3

Classification of Football Player Actions Using Sensing Data

引用

3rd international conference on Image Processing and robotics, ICIPRoB 2024

作者： Hirasawa, Yukito Kinoshita, Yuichiro Kamarudin, Latifah Munirah Zakaria, Ammar University of Yamanashi Department of Computer Science and Engineering Yamanashi Japan Universiti Malaysia Perlis Faculty of Electronic Engineering and Technology Perlis Malaysia

ISBN: (纸本)9798350374766

This study classifies the actions of football players using sensing data acquired from wearable sensors attached to players and the ball. More than 800 sensing data with the labels of five types of player actions were created as a dataset. The neural networks were trained using 19 input items created by considering time-series variations in player and ball locations. The trained neural network model demonstrated a classification accuracy of 84.0%. The model successfully obtained sufficient accuracy for all types of *** results demonstrate that the sensing data and created input items can be effectively utilized for classifying the actions of football player. © 2024 IEEE.

关键词： Wearable sensors

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Development of Automatic Detection System for Explosion-Proof Test

Development of Automatic Detection System for Explosion-Proo...

引用

automation, robotics and computer engineering (icarce), international conference on

作者： Wenqiang Xie Xi'an Research Institute of China Coal Technology & Engineering Group Xi'an China

ISBN: (数字)9798331529505

ISBN: (纸本)9798331529512

Explosion-proof electrical equipment can be divided into explosion-proof type, intrinsically safe type, pouring type and so on according to the explosion-proof principle, among which explosion-proof electrical equipment is the most widely used. Explosion test is the basis for judging whether flameproof electrical equipment can meet the standard requirements and can be used in explosive dangerous environment. In order to test the explosion-proof performance of flameproof electrical equipment, a set of flameproof test and detection system is developed, which consists of explosion test tank and control system. The test results show that the system realizes the automatic control of explosion test of flameproof electrical equipment shell, and the detection data is reliable and the detection efficiency is high.

关键词： automation Accuracy Vacuum systems Inspection Control systems Valves Safety Software reliability Standards Testing

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Research on Multiple Failure Analysis Method for Dynamic Reconfiguration Flight Control System of BWB Aircraft

Research on Multiple Failure Analysis Method for Dynamic Rec...

引用

automation, robotics and computer engineering (icarce), international conference on

作者： Xiaozhe Sun Jiaxuan Wang School of Safety Science and Engineering Civil Aviation University of China Tianjin China

ISBN: (数字)9798331529505

ISBN: (纸本)9798331529512

For the multifunctional configuration of control surfaces in the flight control system of BWB aircraft, and the complex redundancy management and reconfiguration capabilities implemented in the event of failures, a multiple failure analysis method based on multiple failure state space is proposed. Taking a certain type of BWB aircraft as an example, a failure relationship matrix is defined to automate the analysis of Failure combinations under different state spaces. The results show that this method can effectively analyze the evolution process of system failure states and safety impacts across different state spaces, systematically identifying failure modes and the processes of redundancy switching and reconfiguration.

关键词： automation Redundancy Failure analysis Switches Aerospace electronics Safety Aircraft Robots Aerospace control Failure state

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Automated Biofloc Technology for Fish Farming with GSM based Monitoring System 3

Automated Biofloc Technology for Fish Farming with GSM based...

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3rd IEEE international conference on robotics, automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2024

作者： Hassain, Md Mehedi Gani, Muhammad Osman Rahman, Abdur Hasnat, S.M. Rahbar Abdullah International Islamic University Chittagong Dept. of Electrical & Electronics Engineering Chittagong Bangladesh East Delta University Dept. of Electrical & Electronics Engineering Chittagong Bangladesh

ISBN: (纸本)9798331534400

Biofloc technology mitigates aquaculture's environmental impact by using microbial flocs to convert organic waste into nutrient rich feed. To enhance water quality management, our research focuses on a GSM based monitoring system for real time data collection and analysis. The system integrates pH, temperature, and ultrasonic sensors with an Arduino Uno microcontroller, GSM module, servo, and pump motors to monitor and regulate water quality. The system measures timely and crucial data on water quality, including parameters such as temperature, pH levels, and the state of the feeding box. The pH and temperature sensors provide analog readings, while the ultrasonic sensor monitors feeding box levels. Food management is controlled by a servo motor that operates the feeding box, and a pump motor maintains water quality. The system uses temperature and pH sensors for rapid hazard detection, minimizing ammonia and nitrite buildup risks. The GSM module enables real time data connectivity, allowing users to track and control system operations remotely. This study empowers fish farmers and hobbyists with real-time water quality data, promoting informed decision-making to enhance aquatic health and productivity. It offers valuable insights to the broader aquaculture community. © 2024 IEEE.

关键词： Decision making

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