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共 35125 条记录，以下是481-490 订阅

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Application of intelligent Training in Power Information Communication 2

Application of Intelligent Training in Power Information Com...

引用

2nd international conference on cyber-Energy systems and intelligent Energy, ICCSIE 2024

作者： Yao, Jinghua Xu, Chao Chen, Shuo Huang, Xing Zhang, Yu State Grid Liaoning Electric Power Co. Ltd. Information and Communication Branch Shenyang China

ISBN: (纸本)9798350373318

With the development of artificial intelligence technology, large language models possess more precise semantic understanding capabilities and stronger intent comprehension abilities, providing solid technical support for intelligent training in power information communication. This article first introduces the feasibility and significance of applying intelligent training in power communication, and then conducts research on the system architecture of the intelligent training system for power information communication. Finally, an intelligent training system for power information communication is established, which changes the current training status through the application of intelligent training in power information communication, making the training more efficient and targeted. © 2024 ieee.

关键词： intelligent training large language model power information communication

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Design of intelligent Guide Car

Design of Intelligent Guide Car

引用

2024 international conference on Advanced control systems and automation Technologies, ACSAT 2024

作者： Tan, Jinhao Li, Jincan Chen, Zekai Li, Jiahui Zhujiang College South China Agricultural University School of Artificial Intelligence Guangzhou China

ISBN: (纸本)9798331541668

In order to provide more convenience and safety for visually impaired individuals, a smart guiding cart [1] has been designed. It uses the STM32F407ZGT6 microcontroller as the main control unit and employs an incremental PID algorithm to control [2] the movement and direction of the motors. UWB (Ultra-Wideband) technology is utilized to obtain the relative distance between the base station and the tags, enabling distance positioning between the person and the cart. Speech recognition technology facilitates interaction between the person and the cart, while ultrasonic distance measurement technology detects the position of obstacles and integrates it with the motor's movement logic to achieve obstacle avoidance. The combination of 4G network technology and GPS/Beidou navigation technology [3] allows for the transmission of location latitude and longitude information to the Gaode platform. The returned path information is then analyzed to realize the navigation function. Then, through software programming and hardware setup, the intelligent guiding vehicle will achieve functions such as person-following, language interaction [4], obstacle avoidance, and navigation. Finally, by recording relevant data and information from the testing projects, the vehicle will reach the expected functionality. The designed intelligent guiding vehicle will address some of the shortcomings of traditional guiding tools and pave the way for a new direction in the embedded industry. © 2024 ieee.

关键词： Radio navigation

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A Kind of Nonlinear Disturbance Observer for Robotic Manipulator 12

A Kind of Nonlinear Disturbance Observer for Robotic Manipul...

引用

12th international conference on cyber technology in automation, control, and intelligent systems, cyber 2022

作者： Zhang, Feilong Zhang, Bi Zhao, Xingang State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

This paper studies a kind of disturbance observer to have preparation for the research on the disturbance observer of serial robotic manipulator and have more prior knowledge on it. The disturbance estimation error is solved from its corresponding differential equation, when the disturbance is some typical signal, such as ramp signal, acceleration signal and sinusoidal signal. Additionally, the upper bound of disturbance estimation error is renewed in this paper. At last, simulations are carried out to verify the analyses. © 2022 ieee.

关键词： Differential equations

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A Review of Formation control Methods for MAUV systems 12

A Review of Formation Control Methods for MAUV Systems

引用

12th international conference on cyber technology in automation, control, and intelligent systems, cyber 2022

作者： Fu, Bofeng Wang, Gang Zhao, Qiang Song, Yingjie School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin132000 China School of Mechanical and Control Engineering Baicheng Normal University Jilin Baicheng137000 China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

AUV is a tool that can complete underwater operation independently. It is widely used in marine rescue, data acquisition, seabed exploration, target search and so on. However, with the increasing difficulty of underwater operation and the more complex and changeable underwater environment, it is more and more difficult for a single AUV to meet the mission requirements. MAUV formation control provides a new solution for underwater operation. This paper combs the commonly used formation control methods in recent years, including Leader-follower, Artistic potential field method, Behavior based method, Virtual structure method, Path following method, Reinforcement learning method and Consistency based theory method. The advantages and disadvantages of these methods are introduced and compared. Finally, the future development prospect of MAUV formation control is discussed. © 2022 ieee.

关键词： Data acquisition

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A Comparative Analysis of NeuroSky and Emotiv EEG systems for Brain-Computer Interface Applications 2

A Comparative Analysis of NeuroSky and Emotiv EEG Systems fo...

引用

2nd international conference on intelligent cyber Physical systems and Internet of Things (ICoICI)

作者： Vashisht, Sanchit Sharma, Bhanu Chitkara Univ Inst Engn & Technol Dept Comp Sci & Engn Rajpura Punjab India

ISBN: (纸本)9798331540661;9798331540678

This study provides a thorough analysis of two popular EEG systems, NeuroSky and Emotiv, in relation to applications involving brain- computer interfaces (BCIs). The creation of creative solutions aimed at improving human-computer interactions and creating new opportunities for the growth of the gaming, healthcare, education, and other industries has been made feasible by the expanding usage of EEG technology in recent years. Two well-known companies in this industry are NeuroSky and Emotiv, both of which provide distinctive features and capabilities suitable for a range of customer demands. By carefully examining signal quality, usability, specifications, software compatibility, and applications/use cases, this study aims to provide significant insights into the benefits and drawbacks of NeuroSky and Emotiv EEG devices for BCI applications. This comparison study draws on a review of contemporary literature and empirical research findings to advise researchers, developers, and practitioners about each system's suitability for various applications. In conclusion, this work provides a new perspective on EEG technology and its potential to revolutionize human-computer interactions, paving the way for future advancements in BCI research and development.

关键词： Health Industry Quality Education Infrastructure Medical Healthcare EEG Sytems

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Adaptive backstepping sliding mode control of lower limb exoskele-ton robot based on combined double power reaching law 12

Adaptive backstepping sliding mode control of lower limb exo...

引用

12th international conference on cyber technology in automation, control, and intelligent systems, cyber 2022

作者： Xu, Wen-Xin Cao, Guang-Zhong Zhang, Yue-Peng Chen, Jiang-Cheng Tan, Dong-Po Ling, Zi-Qin Shenzhen University Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots Shenzhen Key Laboratory of Electromagnetic Control College of Mechatronics and Control Engineering Shenzhen518060 China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

This paper presents an adaptive backstepping sliding mode control (ABSM) method based on the combined double power reaching law (CDPRL) for a lower limb exoskeleton robot (LLER) system. Considering the influence of robot nonlinearity, strong coupling and unknown external disturbance, the ABSM controller is designed, and the CDPRL is employed to achieve fast convergence and reducing chattering phenomenon of the sliding mode control. The experiment results show that the pro-posed method can availably weaken the chattering phenomenon, and improve the accuracy of trajectory tracking and anti-inter- ference ability in comparison with advanced and classical meth- ods. © 2022 ieee.

关键词： Sliding mode control

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Pothole Detection and Alert System sing YOLO Models: A Real-Time Driver Assistance Approach 2

Pothole Detection and Alert System sing YOLO Models: A Real-...

引用

2nd international conference on intelligent cyber Physical systems and Internet of Things (ICoICI)

作者： Raj, P. L. Pratheesh Santhiya, M. Kirubakaran, S. Stewart Leelipushpam, Getzi Jeba Ebenezer, V Edwin, E. Bijolin Karunya Inst Technol & Sci Div CSE Coimbatore Tamil Nadu India Karunya Inst Technol & Sci Div DS&CS Coimbatore Tamil Nadu India

ISBN: (纸本)9798331540661;9798331540678

This study presents a novel method that uses advanced deep learning models, such as YOLOv8n-seg, YOLOv8x- seg, YOLOv9, and YOLOv10, for pothole recognition and distance calculation. The proposed technology locates potholes on the road (left, center, or right), measures their distances from the car, and classifies them. The proposed system then enhances road safety by alerting drivers in real-time using text-to-speech (TTS) technology. The proposed strategy improves the detection robustness and accuracy by integrating numerous models, unlike earlier approaches. The research findings show notable gains in detecting accuracy and speed, qualifying it for real-time applications. The findings of this study can greatly lower potholerelated traffic accidents and aid in the development of advanced driver assistance systems (ADAS).

关键词： Pothole Detection You Only Look Once Distance Estimation Real-time Alert Advanced Driver Assistance systems

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Exploration and Detection of cyber-Attacks on MPC-Based Vehicular Platoons 27

Exploration and Detection of Cyber-Attacks on MPC-Based Vehi...

引用

27th ieee international conference on intelligent Transportation systems, ITSC 2024

作者： Choudhury, Tashfique Duan, Chengwei Zhang, Hanyu Du, Lili Ray, Sandip University of Florida Department of Electrical and Computer Engineering GainesvilleFL32611 United States University of Florida Department of Civil & Coastal Engineering GainesvilleFL32611 United States

ISBN: (纸本)9798331505929

We develop an extensible platform for exploring cyber-attacks on connected and autonomous vehicle (CAV) platoon controllers. A unique feature of our platform is the ability to address a large spectrum of cyber threats, including new attacks designed after deployment. This platform facilitates systematic exploration of cyber-attacks, helping to uncover real-time vulnerabilities across different designs of platoon controllers. Additionally, we introduce a novel, dual-stage detection mechanism that employs a time-series machine learning (ML) model for the real-time detection of attacks on the perception channels of a Model Predictive control (MPC)-based CAV platoon. We present extensive experimental results to showcase the effectiveness and feasibility of our approach. © 2024 ieee.

关键词： cyber attacks

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The IMOCO4.E reference framework for intelligent motion control systems 28

The IMOCO4.E reference framework for intelligent motion cont...

引用

28th ieee international conference on Emerging Technologies and Factory automation, ETFA 2023

作者： Mohamed, Sajid Van Der Veen, Gijs Kuppens, Hans Vierimaa, Matias Kanellos, Tassos Stoutjesdijk, Henry Masiero, Riccardo Määttä, Kalle Van Der Weit, Jan Wytze Ribeiro, Gabriel Bergmann, Ansgar Colombo, Davide Arenas, Javier Keary, Alfie Goubej, Martin Rouxel, Benjamin Kilpeläinen, Pekka Kadikis, Roberts Armendia, Mikel Blaha, Petr Stokkermans, Joep Čech, Martin Beltman, Arend-Jan ITEC B.V. Sioux Technologies China VTT Finland GNT India Philips Medical Systems CRIT Normet India Philips Consumer Lifestyle Edilasio Portugal Kion Group China WEG Automation Europe Italy Fagor AOTEK Tyndall National Institute Ireland Univ. of West Bohemia Czech Republic Univ. of Modena Italy Institute of Electronics & Computer Science Latvia TEKNIKER Spain Brno Univ. of Technology Czech Republic

ISBN: (纸本)9798350339918

intelligent motion control is integral to modern cyber-physical systems. However, smart integration of intelligent motion control with commercial and industrial systems requires domain expertise, industrial 'know-how' of the production processes, and resilient adaptation for the various engineering phases. The challenge is amplified with the adoption of advanced digital twin approaches, big data and artificial intelligence in the various industrial domains. This paper proposes the IMOCO4.E reference framework for the smart integration of intelligent motion control with commercial platforms (e.g. from SMEs) and industrial systems. The IMOCO4.E reference framework brings together the architecture, data management, artificial intelligence and digital twin viewpoints from the industrial users of the large-scale 'intelligent Motion control under Industry4.E' (IMOCO4.E) consortium. The framework envisions a generic platform for designing, developing, and implementing novice and complex motion-controlled industrial systems. Refinements and instantiations of the framework for the IMOCO4.E industrial cases validate the framework's applicability for various industrial domains throughout the engineering phases and under different constraints imposed on the industrial cases. © 2023 ieee.

关键词： Edge computing

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Multi-robot Cooperative Patrol Path Planning Method under Road Network Constraints 12

Multi-robot Cooperative Patrol Path Planning Method under Ro...

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12th international conference on cyber technology in automation, control, and intelligent systems, cyber 2022

作者： Fan, Xiaotian Chen, Yang Shu, Yifei School of Information Science and Engineering Wuhan University of Science and Technology China Engineering Research Center for Metallurgical Automation Measurement Technology of Ministry of Education Wuhan University of Science and Technology China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

Multi-robot systems have great advantages and wide applications in the fields of ground reconnaissance, environmental monitoring, and key area patrols. However, in the field of multi-robot collaboration, it is difficult to take into account the patrol efficiency and path privacy simultaneously, especially when any intelligent intruders happen. To conquer the above difficulty, path randomness is proposed as a criterion to establish a multi-robot cooperative path planning model based on idle time dispersion, so as the path information privacy and security in the patrol process can be protected. In order to get the solution of the model, the index of idle time dispersion is introduced to get a tailored ant colony algorithm. Finally, patrol paths of multi mobile robots with high security are obtained. Several simulations in the simple road network and complex road network are conducted to verify the feasibility and effectiveness of the proposed method. © 2022 ieee.

关键词： Roads and streets

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