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

共 47828 条记录，以下是821-830 订阅

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Investigate AlN/GaN HEMT performance for future RF and high voltage switching applications

Investigate AlN/GaN HEMT performance for future RF and high ...

引用

2024 international conference on advances in Modern Age Technologies for Health and engineering science, AMATHE 2024

作者： Natarajan, Ramkumar Murugapandiyan, P. Chinnaswamy, Sivamani Vigneshwari, N. Sri Eshwar College Of Engineering Department Of Electronics And Communication Engineering Coimbatore India Anil Neerukonda Institute Of Technology And Sciences Department Of Electronics And Communication Engineering Visakhapatnam India KIT-Kalaignar Karunanidhi Institute Of Technology Department Of Biomedical Engineering Coimbatore India

ISBN: (纸本)9798350371567

This study investigates the enhancement of DC/RF performance in AlN/GaN HEMTs on β-Ga2O3 through the exploration of varied back-barriers. The incorporation of Fe-doped gate in the HEMT structure further enhances carrier mobility and device performance. To maximize the potential of these HEMTs, the impact of different back-barrier materials, such as AlGaN, InGaN, BGaN, and pDiamond, is systematically analyzed. The investigation focuses on optimizing electron channel confinement within the AlN/GaN heterostructure, aiming to improve DC characteristics and high-frequency RF performance. Moreover, the study delves into the interplay between varied back-barrier designs and their effects on device parameters like gate length (Lg) to achieve superior performance in RF power applications. The results of this investigative study pave the way for the advancement of Fe-doped gate AlN/GaN HEMTs on β-Ga2O3, providing valuable insights for the design and optimization of next-generation RF power devices. © 2024 IEEE.

关键词： III-V semiconductors

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A Multi-AttentionLSTM model for multi-ship encounter classification

A Multi-AttentionLSTM model for multi-ship encounter classif...

引用

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

作者： Tian, Weiwei Han, Peihua Zhu, Mingda Kjerstad, Oivind Kare Li, Guoyuan Zhang, Houxiang Norwegian University of Science and Technology Department of Ocean Operations and Civil Engineering Ålesund6009 Norway

ISBN: (纸本)9798350372601

Maritime situation awareness is critical for ensuring safe navigation and efficient operational conduct within the maritime domain. Multi-ship encounter situations at sea, compared to pairwise ship encounters, are characterized by greater complexity and uncertainty, posing significant challenges to decision-making processes. Identifying ship evasive maneuvers during these encounters is crucial for recognizing critical situations. Therefore, this paper proposes a supervised Multi- AttentionLSTM model for multi-ship situation classification. This model detects the presence of evasive maneuvers in multi-ship encounter situations. The model incorporated multiple branches by utilizing an attention mechanism-enhanced Long Short-Term Memory (LSTM) approach for classifying multivariate time series data. Experiments on expert-labeled, real-world Automatic Identification System (AIS) data demonstrate the effectiveness of our proposed method. © 2024 IEEE.

关键词： Long short-term memory

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Thrust Allocation Method for Solid Attitude and Divert Control Engine 7

Thrust Allocation Method for Solid Attitude and Divert Contr...

引用

7th international conference on robotics, Control and Automation engineering, RCAE 2024

作者： Hua, Zuohao Fu, Zhuang Niu, Lu Liu, Bang Zhang, Jiazheng Shanghai Jiao Tong University School of Mechanical Engineering Shanghai China Space Propulsion Technology Research Institute Technology Committee Department Shanghai China

ISBN: (纸本)9798350355642

A thrust allocation method for a solid attitude and divert control engine, using a single combustion chamber shared by 4 divert thrusters and 6 attitude control thrusters, is proposed. Thrust allocation for multi-valve solid rocket engines is typically under-constrained due to multiple degrees of freedom and the need for precise control. To address this, we designed a distribution strategy based on the engine's operational requirements, aiming to maximize total impulse output while prioritizing attitude control thrust synthesis. This comprehensive method optimizes thrust distribution across thrusters, ensuring the engine operates within design constraints for reliable and precise control in spacecraft and missile systems. Our approach demonstrates significant improvements over traditional methods by ensuring effective thrust utilization, minimizing propellant consumption, and maintaining high precision in attitude and divert control. This paper offers a novel solution and algorithm for thrust allocation in solid attitude and divert control engines, contributing valuable advancements to aerospace propulsion systems. © 2024 IEEE.

关键词： Rockets

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The Development of a Question-Answering System for Learning Article using Natural Language Processing 5

The Development of a Question-Answering System for Learning ...

引用

5th international conference on Control, robotics, and Intelligent System, CCRIS 2024

作者： Sriharee, Gridaphat Boonyamarn, Kewalee Department of Computer and Information Science Faculty of Applied Science King Mongkut’s University of Technology North Bangkok 1518 Pracharat 1 Wonsawang Bangsur Bangkok10800 Thailand

ISBN: (数字)9781510685871

ISBN: (纸本)9781510685864

This paper proposes developing a question-answering (QA) system for Thai learning articles. This system is a closed-domain QA system. Thai text processing was proposed to retrieve answers relevant to the natural language-based questions specified by users. The methodology to generate the keywords/topics used for retrieving answers was introduced. Matching and selecting methods for obtaining the best answer using cosine similarity is the support technique. Creating the corpus database, which contains Thai synset - a set of words with similar meanings or that may relate to each other, was explained. With the proposed corpus database, the question-answering can extract and analyze the meaning of the unbound sentence in Thai. The proposed QA system performed well, with a precision score of 87.67%, a recall score of 73.35%, and an F1 score of 81.91%. © 2024 SPIE.

关键词： Contrastive Learning

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Dynamic Modeling and Parameter Identification of Flexible Link Manipulator

Dynamic Modeling and Parameter Identification of Flexible Li...

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2024 IEEE international conference on robotics and Biomimetics, ROBIO 2024

作者： Wang, Jiayu Zheng, Yukun Gao, Song Guo, Kai Liu, Yixiang Zheng, Dongdong Song, Rui School of Mechanical Engineering Shandong University Jinan250061 China Shandong University Key Laboratory of High Efficiency and Clean Mechanical Manufacture Ministry of Education Jinan250061 China Shandong University National Demonstration Center for Experimental Mechanical Engineering Education Jinan250061 China School of Control Science and Engineering Shandong University Jinan250061 China School of Information Science and Electrical Engineering Shandong Jiaotong University Jinan China School of Automation Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781665481090

Flexible manipulators are extensively utilized in high-speed and heavy-duty applications due to their advantages of light weight, high energy efficiency, and superior dexterity. Nevertheless, their complex dynamic behavior presents signifi-cant challenges for accurate modeling and control. This paper investigates the dynamic modeling and parameter identification of flexible manipulators. A general dynamic model for an n-link flexible manipulator, incorporating structural damping, hub inertia, and payload effects, is developed using the Euler-Lagrange method in conjunction with the Assumed Modes Method (AMM). The least squares method is then employed to determine the set of inertia parameters. For the case of a single-link flexible system, simulations are conducted to assess the system responses in both time and frequency domains, demonstrating that the proposed approach effectively estimates the inertial parameter set with satisfactory accuracy, thus validating the model's correctness and providing a solid foundation for developing precise control strategies for flexible manipulators. © 2024 IEEE.

关键词： Least squares approximations

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Adaptive Neural Network Sliding Mode Control Method Based on Udwadia-Kalaba Theory 8

Adaptive Neural Network Sliding Mode Control Method Based on...

引用

8th IEEE international conference on Advanced robotics and Mechatronics, ICARM 2023

作者： Zhang, Runmei Li, Jiaxiang Chen, Zhong Dong, Fangfang Jia, Zhennan Yuan, Bin School of Mechanical and Electrical Engineering Anhui Jianzhu University 230601 China School of Mechanical Engineering Hefei University of Technology 230601 China

ISBN: (纸本)9798350300178

In this paper, an adaptive neural network sliding mode control (SMC) method based on Udwadia-Kalaba theory is proposed for the modeling and control of complex incomplete constrained electromechanical systems, such as manipulators. The performance of the proposed method is compared with that of the traditional SMC controller, and the analysis is conducted using Matlab simulations. The analysis reveals that the proposed method exhibits superior performance in terms of achieving high-precision control of the manipulator while effectively mitigating chattering commonly associated with sliding mode control. © 2023 IEEE.

关键词： Sliding mode control

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A Laser Galvo System for Human-Robot Collaboration

A Laser Galvo System for Human-Robot Collaboration

引用

2023 international conference on Advanced robotics and Intelligent Systems, ARIS 2023

作者： Chen, En-Tze Xiao, Jia-Jun Lin, Po-Ting Yang, Chao-Lung Chang, Ching-Yuan National Taipei University of Technology Department of Mechanical Engineering Taipei Taiwan National Taiwan University of Science and Technology Department of Mechanical Engineering Taipei Taiwan National Taiwan University of Science and Technology Department of Industrial Management Taipei Taiwan

ISBN: (纸本)9798350302714

This study proposes an optical projection-assisted system composed of a camera and a laser scanner mirror to meet the complex and diverse demands of the manufacturing industry. The camera identifies real-world targets, while the laser scanner mirror projects laser light to mark the targets, aiding in target identification. The physical model of the laser scanner mirror is analyzed in this study, and a least squares method is used to calibrate the relationship between the camera and the mirror. The contribution of this study lies in presenting a simple and fast calibration method for the camera and mirror, as well as analyzing the sources of system error. The average calibration error is 4.80 pixels. © 2023 IEEE.

关键词： Cameras

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Detecting Ransomware Threats Using Machine Learning Approach 8

Detecting Ransomware Threats Using Machine Learning Approach

引用

8th IEEE international conference on Distributed Computing, VLSI, Electrical Circuits and robotics, DISCOVER 2024

作者： Guruprasad, Sunitha Rao, Arnav G. Shetty, Sanmitha Chitharanjan Bastian, Rose Khader, Sarah Abdul St Joseph Engineering College Dept. of Computer Science & Engineering Mangaluru India Visvesvaraya Technological University Karnataka Belagavi India Ramaiah Institute of Technology Dept. of Computer Science & Engineering Bengaluru India

ISBN: (纸本)9798350350593

The rise of ransomware-related cyber-attacks poses a severe threat to organizations across various sectors. This research addresses the urgent need for robust detection mechanisms using advanced machine learning (ML) models. Ransomware, characterized by irreversible encryption of user data, demands proactive strategies for identification and prevention. This study leverages publicly available ransomware and benign executable files from sources such as VirusTotal which are run in a sandboxed environment to obtain a dataset to train an ML model capable of differentiating between diverse ransomware samples and classifying them based on specific characteristics. The process begins with meticulous data preprocessing ensuring the dataset's quality. Feature extraction algorithms are employed to identify relevant characteristics, streamlining the dataset and optimizing model performance. The model is trained on the dataset to effectively learn patterns. Evaluation metrics, including accuracy, precision, recall, F1-score, and the ROC curve, provide comprehensive insights into the model's effectiveness. © 2024 IEEE.

关键词： Adversarial machine learning

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A Haptic Exploration and Surface Classification of Objects with Four Typical Surface Properties 8

A Haptic Exploration and Surface Classification of Objects w...

引用

8th IEEE international conference on Advanced robotics and Mechatronics, ICARM 2023

作者： Qi, Peng Wu, Yunfeng Yao, Tianliang Lu, Bo Sun, Yi Dai, Jian S. College of Electronics and Information Engineering Tongji University Department of Control Science and Engineering Shanghai China Robotics and Microsystems Center School of Mechanical and Electric Engineering Soochow University Jiangsu Suzhou China Ecole Polytechnique Federale de Lausanne Laboratory of Intelligent Systems Lausanne1015 Switzerland College of Engineering Southern University of Science and Technology Department of Mechanical and Energy Engineering Shenzhen518055 China School of Natural Mathematical and Engineering Sciences King's College London United Kingdom

ISBN: (纸本)9798350300178

To effectively interact with the physical world, an intelligent robot is required to have the ability to obtain the detailed features of an unknown object. Visual devices are commonly used to detect the global geometry of an object;however, detailed information such as surface properties cannot be identified using these devices. The current study proposes an efficient haptic exploration method to recognize the physical properties of surfaces using an intelligent fingertip. Our surface-following algorithm utilizes the normal force vector and the tangential force vector at the contact point between the fingertip and the target object to predict the moving direction and implement the surface exploration. And a correction index K is introduced to adjust the sliding velocity. The algorithm is proved to be robust and high performance both in simulation and lab experiments. Finally, we propose and explore a haptic prediction neural network, which enables our robot to have an accurate feel through physical interaction. In the classification experiment of four types of objects with different surface properties, the average accuracy of the proposed model is 90.2%. © 2023 IEEE.

关键词： Surface properties

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Application of the Reinforcement Learning Method for the Mobile robotics Simulator

Application of the Reinforcement Learning Method for the Mob...

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2024 IEEE international conference on Consumer Electronics-Asia, ICCE-Asia 2024

作者： Yoo, Heonjong Choi, Seonggon Information and Communication Engineering Chungbuk National University Cheongju-city Korea Republic of

ISBN: (纸本)9798331530839

The paper focuses on the reinforcement learning method for the path following platform. Firstly, the waypoint following logic is developed and it is incorporated into ROS publish and subscribe block for 2 wheel mobile platform. Firstly, the waypoint follower in mobile robotics simulation toolbox at simulink is introduced. On the other side of research, platform can be moved through ROS connection. Lastly, the reinforcement learning method is incorporated into the ROS publish and sub-scribe mechanism regarding position control. In this presentation, the development of waypoint following logic using the waypoint following method is experimented based on the generated path with the real mobile robot with ROS connection. © 2024 IEEE.

关键词： Reinforcement learning

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