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检索条件"任意字段=International Conference on Advances in Science, Engineering and Robotics Technology"

共 47670 条记录，以下是151-160 订阅

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Electromagnetic-Mechanical Coupled Winding Vibration Characteristics Analysis of Grounding Transformers

Electromagnetic-Mechanical Coupled Winding Vibration Charact...

引用

2024 lEEE international conference on Advanced Information, Mechanical engineering, robotics and Automation, AIMERA 2024

作者： Zhou, Zijian Changsha University of Science and Technology Changsha China

ISBN: (数字)9798350343335

ISBN: (纸本)9798350343335

In this paper, the electromagnetic parameters of the grounding transformer are obtained based on finite element analysis, and then the parameters are substituted into the constructed time-domain equation for electromagnetic-mechanical coupling, and the winding vibration acceleration of the winding and the electromagnetic force are analyzed, and the grounding transformer model is built by COMSOL software for simulation. Because there are few studies on the vibration of the grounding transformer winding in the arc suppression process, it is of great significance to study the vibration analysis of the transformer winding in the arc suppression process. © 2024 IEEE.

关键词： Transformer windings

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The Frontier of Political science: A Framework for Research on Border City Policing

The Frontier of Political Science: A Framework for Research ...

引用

2024 international conference on advances in Computing Research on science engineering and technology, ACROSET 2024

作者： Rahman, A T Am Sadiqur Saroj, Priya University Institute of Legal Studies Chandigarh University Mohali India

ISBN: (纸本)9798350388800

This study examines the current difficulties and potential advantages in the realm of political science, with a particular emphasis on the law enforcement methods employed in towns located near borders. Due to the distinct socio- political factors in border regions, such as increased security concerns, migratory patterns, and cross-border criminal activity, there is a pressing want for a comprehensive study framework. This paradigm seeks to guide scholarly investigation into how these dynamics impact and are influenced by policing practices. This study aims to enhance comprehension of border city police by employing a multi- disciplinary approach. It also suggests potential directions for future research and policy development [1]. © 2024 IEEE.

关键词： Border city policing Model The Frontier Political science Urban crime

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Human Detection and Human Pose Classification for Mobile Robots Interaction 1

Human Detection and Human Pose Classification for Mobile Rob...

引用

1st international conference on robotics, engineering, science, and technology, RESTCON 2024

作者： Hirunthakingpunt, Korawee Dawan, Don Wada, Chikamune Maneerung, Natinun Kyushu Institute of Technology Graduate School of Life Science and Systems Engineering Kitakyushu Japan Motionx Studio Thailand Techsolution Thailand

ISBN: (纸本)9798350348842

Mobile robots are widely used in many departments such as industry, hospitals, restaurants, etc. The human detection and the human pose classification are usually used for human-robot interaction. The current study proposes human pose classification for human-robot interaction to avoid the collision. There are three main steps of the presented method. First, the algorithm detects the entire human within the determined range of 3D camera. Second, the K-Nearest Neighbor (KNN) model with skeleton points features is used for classifying the six postures of detected human such as neutral, left and right raise, both hand raise, cross hand posture and one opening hand forward. According to the posture classification, these can command the robot to move forward, stop, stop for a few seconds, and cancel the command. Finally, the command is used to interacting with the mobile robot to control the robot movement and to avoid the collision. The experiment results show that the designed algorithm can effectively detect and classify human posture with 86.14% for the accuracy of algorithms and interact effectively to avoid the collisions stop automatically within the 1.8 meters between human and robot. © 2024 IEEE.

关键词： Mobile robots

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Brain Tumor Detection Using Xception Model

Brain Tumor Detection Using Xception Model

引用

2024 international conference on advances in Computing Research on science engineering and technology, ACROSET 2024

作者： Philip, Joshwa Joy Rani, Ruchi Kumar, Sumit School of Computer Engineering and Technology Dr Vishwanath Karad Mit World Peace University Department of Computer Science and Engineering Pune India School of Computer Engineering and Technology Dr Vishwanath Karad Mit World Peace University Department of Computer Engineering and Technology Pune India Department of Electronics and Telecommunication Maharashtra Pune India

ISBN: (纸本)9798350388800

Numerous morphological and histological characteristics of brain tumors make diagnosis and treatment very challenging. Traditional diagnosis methods often depend on the analysis of medical images, which can lead to unclear conclusions and errors. In recent years, machine learning (ML) and deep learning techniques (DL) have shown great scope in improving the detection and classification of brain tumors. These methods extract the features and classify medical imaging data, such as MRI, CT, and PET scans. Convolutional and recurrent neural networks give better performance even though there are challenges in the dataset. In the proposed work, Xception architecture is used which is a type of convolution neural network. This model is pretrained on the ImageNet dataset. The proposed model achieves 99.90% accuracy in brain tumor detection. © 2024 IEEE.

关键词： Convolutional neural networks

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Heuristic Sampling for Robot Motion Planning via Conditional Generative Adversarial Networks in Narrow Spaces 7

Heuristic Sampling for Robot Motion Planning via Conditional...

引用

7th international conference on Intelligent robotics and Control engineering, IRCE 2024

作者： Li, Xingchen Gao, Xifeng Guangdong Ocean University School of Mechanical Engineering Zhanjiang China Harbin Institute of Technology Center of Ultra-Precision Optoelectronic Instrumentation Engineering Harbin China

ISBN: (纸本)9798350352399

Sampling-based motion planning methods are widely used in the robotics community but often exhibit diminished performance in narrow spaces. Despite efforts to enhance planning efficiency by introducing various sampling strategies aimed at increasing the likelihood of sampling within narrow spaces, these approaches are often tailored to specific planning problems, limiting their generalizability. Here, we present a motion planning algorithm employing heuristic sampling via Conditional Generative Adversarial Networks (CGAN), which leverages insights from previous successful plans to predict potential regions containing feasible paths for new planning problems. By utilizing such prior information to guide sampling, our approach enables motion planners to rapidly identify feasible paths, even in complex environments. Through extensive simulation experiments, we demonstrate the computational efficiency of this sampling strategy. © 2024 IEEE.

关键词： Generative adversarial networks

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Research on microseismic source localization based on improved particle swarm optimization algorithm 4

Research on microseismic source localization based on improv...

引用

4th international conference on Artificial Intelligence, robotics, and Communication, ICAIRC 2024

作者： Wan, Yunshuai Xue, Jinchun Qi, Hui Ren, Feipeng Jiangxi University of Science and Technology School of Energy and Mechanical Engineering Nanchang China Jiangxi University of Science and Technology School of Software Engineering Nanchang China Shandong Shenghan Finance and Trade Vocational College School of Information Engineering Jinan China

ISBN: (纸本)9798331531225

Accurate microseismic source localization is crucial for detecting potential geological hazards during mining operations, ensuring the safe and efficient progress of excavation activities. The accuracy and reliability of source localization are closely linked to the selection of appropriate algorithms. While the Particle Swarm Optimization (PSO) algorithm offers the advantage of fast convergence, it is prone to premature convergence and low localization accuracy when directly applied to source localization. To address these issues, this study employs chaotic mapping to replace traditional methods for initializing the particle population, enhancing population diversity. The proposed method is validated through engineering case studies. The results demonstrate that, compared to the traditional PSO algorithm, the chaotic mapping-based improved PSO algorithm achieves faster convergence and superior optimization capabilities, making it suitable for solving practical engineering problems. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Evaluating Mixed Reality technology for Tracking Hand Motion for Shoulder Rehabilitation Assessment 10

Evaluating Mixed Reality Technology for Tracking Hand Motion...

引用

10th IEEE RAS/EMBS international conference for Biomedical robotics and Biomechatronics (BioRob)

作者： Salinas, Sergio A. Grolinger, Katarina LeBel, Marie-Eve Trejos, Ana Luisa Western Univ Dept Elect & Comp Engn ECE London ON Canada Western Univ Dept Surg London ON Canada St Josephs Hlth Care McFarlane Hand & Upper Limb Ctr London ON Canada Western Univ ECE London ON Canada Western Univ Sch Biomed Engn London ON Canada

ISBN: (纸本)9798350386523;9798350386530

Shoulder injuries and conditions are common musculoskeletal complaints that can limit a patient's range of motion and daily activities. Recently, serious games and mixed reality technologies, such as the HoloLens, have been proposed for shoulder rehabilitation. However, it is unclear if this technology accurately tracks 3D hand movements for reporting therapy-related kinematic metrics. This paper presents accuracy and repeatability tests of the HoloLens 2 in tracking hand movements, and its potential for shoulder rehabilitation assessment. Comparisons were made between index fingertip, palm, and wrist movements captured by the HoloLens 2 and an Aurora electromagnetic system, which was used as the ground truth. A mixed-reality environment was developed to capture static hand positions, as well as dynamic hand movements performed during a shoulder physiotherapy-based exercise. The tracking data were used to calculate several kinematic metrics. The results show that the HoloLens 2 hand-tracking system is accurate to within a median of 10.2 mm and has repeatability comparable to the Aurora system, with the palm exhibiting the best results. The HoloLens 2 data are suitable for computing kinematic metrics for shoulder rehabilitation assessment, achieving accuracies above 86.9% for all of the tested metrics. Metrics such as time-to-speed peak and the log dimensionless jerk were found to have significant differences between dynamic hand movements. These findings support the mixed reality technology potential to assist shoulder rehabilitation through immersive and interactive environments.

关键词： Serious games

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Farmer's Crop Welfare System 15

Farmer's Crop Welfare System

引用

15th international conference on advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Dhamodhar, G. Krishna, B. Vamsi Reddy, D. Sampath Reddy, A. Sameer Amutha, S. Ganesan, Kothai Department of Computer Science and Engineering Kalasalingam Academy of Research and Education Tamilnadu Virudhnagar India Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore Dist. Tamil Nadu India

ISBN: (纸本)9798331300579

The "Farmer's Crop Welfare System" is a technology that uses advanced data analytics and artificial intelligence to improve crop management and yield. It combines crop prediction, disease detection, and fertilizer recommendation. Crop prediction uses historical and real- time data, while disease detection uses image recognition and deep learning to identify early signs of diseases, promoting sustainable farming practices. © Grenze Scientific Society, 2024.

关键词： Livestock

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Distributed Cooperative Control for Human-Unmanned Aerial Vehicle Swarm Teaming in Target Tracking∗

Distributed Cooperative Control for Human-Unmanned Aerial Ve...

引用

2024 IEEE international conference on robotics and Biomimetics, ROBIO 2024

作者： He, Hangxuan Huo, Mengzhen Duan, Haibin School of Automation Science and Electrical Engineering Beihang University Beijing100083 China School of Automation Science and Electrical Engineering Beihang University Science and Technology on Aircraft Control Laboratory Beijing100083 China

ISBN: (纸本)9781665481090

Over the last decade, the relationship between humans and cyber-physical systems has grown closer, particularly in fields such as manufacturing and transportation. This paper presents a control framework within the engineering domain, wherein a human operator collaborates with a swarm of unmanned aerial vehicles (UAVs) to achieve a shared goal. First, we construct a human-swarm mutual trust model that empowers both parties with a degree of autonomy. Second, we adopt a distributed optimization algorithm integrated with control barrier functions to manage the swarm's motion. The cooperative control framework is demonstrated in a 3D scenario, and simulation results verify the feasibility of the proposed method. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Robotic Assistance for Standardized Compression Ultrasound Elastography

Robotic Assistance for Standardized Compression Ultrasound E...

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2024 IEEE international conference on Real-Time Computing and robotics, RCAR 2024

作者： Wang, Chenwei Gao, Qian Zhang, Danyang Wang, Ziya Sun, Zhenglong The Chinese University of Hong Kong Shenzhen School of Science and Engineering Shenzhen518172 China The Chinese University of Hong Kong Shenzhen School of Science and Engineering The Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518172 China Shenzhen University School of Physics and Optoelectronic Engineering Shenzhen518060 China

ISBN: (纸本)9798350372601

2D ultrasound elastography is crucial for diagnosing superficial organ diseases, favored for its simplicity and affordability. However, it is limited to qualitative assessments, leading to potential diagnostic inconsistencies due to the dependence on clinician experience and operator skill. Integrating robotic technology into compression-based elastography offers a promising approach for achieving standardized and quantitative diagnostics. This paper presents a robotic-technology-based quantitative measurement scheme for compression-based elastography, focusing on utilizing the medical robotic platform;this study quantitatively performs compression elastography using ultrasound image features to determine the Young's modulus of tissues. The scheme includes refined measurement methods for better accuracy and robustness, such as adjusting the contact area. The proposed method is validated on self-made phantoms. The results indicate that within the typical range of low Young's modulus values for superficial organs, this method can accurately measure the Young's modulus of embedded tissues and preliminarily verify that there is a good linear relationship between the Young's modulus and some ultrasound image feature parameters within a certain range of Young's modulus values. © 2024 IEEE.

关键词： Ultrasonic imaging

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