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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931-940 订阅

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Observability Analysis of Initial Relative Orbit Determination of Space Targets with Optical Measurements

Observability Analysis of Initial Relative Orbit Determinati...

引用

2024 IEEE international conference on Control science and Systems engineering, ICCSSE 2024

作者： Zhang, Xiaohong Zhou, Haiyin Li, Maodeng Yi, Bin Wang, Jiongqi College of Science National University of Defense Technology Changsha China Beijing Institute of Control Engineering Beijing China School of Mathematics and Statistics Changsha University of Science & Technology Changsha China

ISBN: (纸本)9798331517199

Autonomous spacecraft relative navigation has a wide range of applications in the field of on-orbit services. By virtue of its advantages of simplicity, reliability, small size, light weight and long acting distance, the optical camera has become the main measurement device for spacecraft relative navigation. However, since the optical camera can only acquire the line-of-sight information of the target and lacks the distance information, this limits the accuracy of spacecraft relative state estimation. Meanwhile, accurate initial relative orbiting is the foundation and key prerequisite for optical relative navigation. In order to improve the estimation accuracy and convergence speed of optical relative navigation, this paper proposes a method for analysing the observability of the initial relative state based on optical relative navigation. The observability of the initial relative state is analysed, and the method does not involve the operation of the Lie derivative, which significantly reduces the computational complexity of the observability analysis. Finally, the effects of orbital inclination, eccentricity and J2 ingestion on LEO are simulated and analysed. © 2024 IEEE.

关键词： Observability

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Adaptive optimal output regulation: A parametric Lyapunov equation approach 5

Adaptive optimal output regulation: A parametric Lyapunov eq...

引用

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

作者： ul Aabidin Lodhi, Zain Jiang, Huaiyuan Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Harbin China

ISBN: (数字)9781510685871

ISBN: (纸本)9781510685864

This article delves into a data-driven approach for solving the adaptive optimal output regulation problem in continuous-time linear systems with uncertain dynamics. Employing a class of parametric Lyapunov equations in conjunction with a nominal system model, the initial stabilizing feedback gain is determined to initiate the iterative method. Then, by utilizing a policy-iteration-based technique, we design an optimal control policy to achieve precise output tracking and disturbance rejection. The prescribed convergence characteristics of the closed-loop system directly result from the properties embedded within the solution of the parametric Lyapunov equation. The applicability and performance of the proposed method are demonstrated through a numerical example involving an input-constrained double integrator system. © 2024 SPIE.

关键词： Continuous time systems

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A Novel Hybrid Brain-Computer Interface Based on Integration of Steady-State Visual Stimulation and Rapid Serial Visual Presentation Paradigm

A Novel Hybrid Brain-Computer Interface Based on Integration...

引用

2024 IEEE international conference on robotics and Biomimetics, ROBIO 2024

作者： Xie, Jun Zhang, Huanqing Tao, Qing Fang, Peng Liu, Junjie Ge, Zengle Shao, Yixuan Ding, Yuhang School of Mechanical Engineering Xinjiang University Urumqi830017 China School of Mechanical Engineering Xi'an Jiaotong University Xi'an710049 China Shenzhen Institute of Advanced Technology CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Engineering Laboratory of Neural Rehabilitation Technology Shenzhen518055 China

ISBN: (纸本)9781665481090

Brain-computer interface (BCI) is a kind of human-computer interaction which can realize the communication and control between human brain and the external environment. The single-modality BCI has the problems of small command set and the difficulty to realize multi-dimensional control. To address these issues, a hybrid paradigm combining steady-state visual evoked potential (SSVEP) and rapid serial visual presentation (RSVP) was proposed and designed in this study. A 16-target SSVEP-RSVP hybrid BCI (hBCI) was constructed. This novel paradigm aims to achieve fast information transmission, guarantee system performance through efficient visual stimulation, and effectively overcome the crowding effect problem in the traditional BCIs. Through offline and online experiments, the hBCI system based on the SSVEP-RSVP integration paradigm shows high performance, which provides new insights and technical and theoretical supports for the applicable hBCIs. © 2024 IEEE.

关键词： Brain computer interface

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Enhancing Network Security: A Novel Hybrid ML Approach for DDoS Attack Detection in SDN 15

Enhancing Network Security: A Novel Hybrid ML Approach for D...

引用

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

作者： Rakesh, V.S. Vasanthakumar, G.U. Department of Computer Science and Engineering Cambridge Institute of Technology Bengaluru Visvesvaraya Technological University Karnataka Belagavi India Department of Computer Science and Engineering Nitte Meenakshi Institute of Technology Bengaluru Visvesvaraya Technological University Karnataka Belagavi India

ISBN: (纸本)9798331300579

Software-defined networking represents a ground breaking advancement in network technology, characterized by its desirable attributes such as enhanced flexibility and manageability. Although ongoing, the issue of DDoS assaults in SDN is characterized by malicious and obtrusive network traffic that overwhelms SDN resources. Despite numerous security methodologies aimed at detecting DDoS attacks, the challenge of effectively addressing this issue continues to persist as an active area of research. The XG-Light Hybrid, a unique hybrid system, has been developed in this work as a solution to this problem. This discovery is significant because it has the potential to dramatically increase the reliability of DDoS attack detection in SDN environments, hence boosting network security and stability. Key findings reveal that the proposed hybrid approach outperforms individual machine learning algorithms with respect to DDoS detection. © Grenze Scientific Society, 2024.

关键词： DDoS Detection Light GBM Machine Learning Network Traffic SDN XG Boost

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Method for Live Determination of Caenorhabditis Elegans Based on Deep Learning and Image Processing

Method for Live Determination of Caenorhabditis Elegans Base...

引用

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

作者： Weng, Jinfang Lin, Qizhao Chen, Suxia Chen, Wenyin Fujian Polytechnic of Information Technology College of Internet of Things and Artificial Intelligence Fuzhou China Henan Vocational College of Light Industry College of Computer Science and Art Design Zhengzhou China

ISBN: (纸本)9798350343335

Caenorhabditis elegans (***) lifespan monitoring assists compound evaluation scientific research. To address the issues of inaccurate and low to address the issues of inaccurate and low throughput results caused by fatigue in manual identification of ***, a method based on deep learning and image processing is proposed for the identification of *** in industrial camera imaging. This method first manually collects digital images of the whole life cycle of ***, and makes a data set, then trains the best weight file based on YOLOV5;then uses this file for *** target detection;finally, on the basis of the target detection results, the similarity and the intersection over union ratio of the target box binarization are used to determine the target weight of ***. The experimental results show that the YOLOV5 model is superior to the Faster-RCNN and Faster-RCNN_R50 models in ***. R50 models in *** target detection, with an average accuracy of 96.3%, which is about 5% higher than other models. In addition, a visual software is developed according to the proposed model. Compared with manual identification, this method can effectively reduce the identification error of *** individuals and corpses, which are 5.52% and 1.33%, respectively. © 2024 IEEE.

关键词： Deep learning

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The Lithium-Ion Battery-Based Cell Balancing Technique for EVs: A Comparative Performance Analysis in MATLAB

The Lithium-Ion Battery-Based Cell Balancing Technique for E...

引用

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

作者： Rout, Smitanjali Samal, Sudhansu Kumar Centurion University of Technology & Management Department of Electrical Engineering Bhubaneswar India

ISBN: (纸本)9798350388800

The creation of electric vehicles (EVs) has the potential to mitigate energy scarcity and environmental pollution. However, the design and management of electric vehicle battery systems have a substantial effect on both the performance and life span of the battery pack. The efficiency, safety, and dependability of electric vehicles are maintained by Battery Management Systems through monitoring and controlling battery packs. The principles of battery modeling are reviewed in this article, along with passive and also active cell balancing techniques that are crucial in preserving battery performance. However, maintaining battery life is particularly important through cell balancing. In contrast, individual cell voltages may diverge over time if there is no balancing system, rapidly decreasing the lithium battery pack cell capacity, which results in system failure. The review discusses various cell balancing methodologies, highlighting their comparative advantages and disadvantages. This review underscores the noteworthy consequence of effective Li-ion cell balancing in improving the performance and lifespan of the battery. A comparative analysis of active and passive cell balancing techniques is demonstrated by extensive analysis using a twocell Li-ion battery pack in the Simulink of MATLAB for the Electric Vehicle application. © 2024 IEEE.

关键词： Battery Pack

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The Imaginary Robot Teacher: The Value of Sci-Fi in the Field of Educational robotics 16th

The Imaginary Robot Teacher: The Value of Sci-Fi in the F...

引用

16th international conference on Social robotics, ICSR + AI 2024

作者： Indurkhya, Xela Indurkhya, Bipin Venture, Gentiane Tokyo University of Agriculture and Technology Nakacho 2-4-16 Tokyo184-0012 Japan Jagiellonian University ul. Grodzka 52 Kraków31-044 Poland The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-0033 Japan

ISBN: (纸本)9789819635214

We discuss the perspectives and insights which science fiction can provide on robots in education and society. We discuss the value of empathy in fictional robot media that overlaps with educational settings. We use several fictions about robots in order to explore their possibilities as teaching tools. Fictional robots can be used to inspire interest in and teach the subject of engineering and computer science, and the ways in which robots might affect society;but robots also provide a unique opportunity to explore subjects such as empathy and societal othering. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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Research and development of blockchain consensus algorithms 7

Research and development of blockchain consensus algorithms

引用

7th international conference on Mechatronics and Intelligent robotics, ICMIR 2023

作者： Ma, Xinkun Li, Yingna Wang, Jinyu Faculty of Information Engineering and Automation Kunming University of Science and Technology 727 Jingming South Rd. Chenggong District Kunming650500 China Computer Technology Application Key Lab of the Yunnan Province 727 Jingming South Rd. Chenggong District Kunming650500 China

ISBN: (数字)9781510668089

ISBN: (纸本)9781510668072

Blockchain technology is a paradigm of distributed systems, and its consistency problem is solved by consensus algorithms. This paper summarizes the existing consensus algorithms and divides them into three types: proof, voting, and Paxos-like. The implementation methods and advantages and disadvantages of some representative algorithms among the three types of consensus algorithms are introduced. Finally, the research hotspots and development directions of consensus algorithms in terms of performance and scalability are pointed out. © 2023 SPIE. All rights reserved.

关键词： Blockchain

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A Robust Control Technique for Pitch Control of an Aeropendulum 6

A Robust Control Technique for Pitch Control of an Aeropendu...

引用

6th international conference on robotics, Control and Automation engineering, RCAE 2023

作者： Tanveer, M. Hassan Koduru, Charles Roy, Rupam Gupta Lakhekar, Girish V. Chun, Cary Kennesaw State University Department of Robotics and Mechatronics Engineering MariettaGA30067 United States National Institute of Technology Department of Electronics and Instrumentation Engineering Agartala Barjala Jirania Tripura Agartala India College of Engineering Department of Instrumentation Engineering Maharashtra Pune India

ISBN: (纸本)9798350315301

Pitch control of an aviation system presents a plethora of control complications, such as nonlinear effects, parameter uncertainties, disturbances, etc. In the face of parametric uncertainties and disturbances, as well as communication limits in an auditory medium, it is difficult to create efficient control algorithms that can accomplish precise path-following tasks and effective resilient control actions. This paper presents the Second Order Sliding Mode Control method for regulating the pitch angle in an aero-pendulum mechatronic system. The fundamental purpose of this study is to develop a reliable controller capable of minimising the system error between the regulated signal and the planned signal that corresponds to the pitch angle of the vehicle. By employing the proposed approach, both the prevalence of chattering and the control efficiency can be greatly improved. A comparison is given between the proposed model and the classical technique now in use, such as the classical Sliding Mode Controller. © 2023 IEEE.

关键词： Sliding mode control

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Advanced Feature Rich Medical Image Segmentation Based on Deep Feature Learning

Advanced Feature Rich Medical Image Segmentation Based on De...

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2024 IEEE international conference on Recent advances in science and engineering technology, ICRASET 2024

作者： Senthil Pandi, S. Vinoth Kumar, P. Kumar, P. Bala Subramanian, C. Rajalakshmi Engineering College Department of Cse Chennai India St Joseph's Institute of Technology Department of Aids Chennai India Kalasalingam Academy of Research and Education Department of Cse Srivilliputtur India

ISBN: (纸本)9798350388602

Deep learning approaches have demonstrated significant potential in automating this activity, hence removing the necessity for radiologists to manually annotate images. Concatenate blocks are incorporated in the suggested model in order to learn various filters or features that are utilised to extract relevant information from the image. Since k-fold validation is a strong and adaptable method for assessing deep learning model performance, it is used to train the suggested model. By setting the value of k to 5, the suggested model is tested on five distinct data subsets in order to produce the optimised model and produce more accurate results. Ten percent was used for validation, twenty percent for testing, and seventy percent for training. The suggested model was built in four stages: (a) picture classification, (b) feature attribute selection, (c) tumour segmentation, and (d) noise removal. We suggest using deep neural networks, trained on MRI scans of patients' brains, to detect tumours. For tumour segmentation, the suggested architectures rely on inception modules and convolutional neural networks. © 2024 IEEE.

关键词： Convolutional neural networks

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