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共 6129 条记录，以下是151-160 订阅

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Research on The Design and Application of Visual Navigation Control for Patrol Wheeled robot 3

Research on The Design and Application of Visual Navigation ...

引用

3rd IEEE international conference on Information technology, Big Data and Artificial intelligence, ICIBA 2023

作者： Yu, Jinghong Zhang, Zhibin Sha, Jie Dang, Wei Wang, XueLei Beijing Information Technology College No. 1 Hongsongyuan Dongba Chaoyang District Beijing100010 China Capital University of Physical Education and Sports 11 North 3rd Ring West Road Beijing100191 China Beijing Polytechnic No. 9 Liangshuihe First Street 100176 China

ISBN: (纸本)9781665490788

The traveling speed of inspection wheeled robot is always constant in the visual navigation process, that is, the inspection wheeled robot is always traveling at a constant speed in the lateral position deviation control process. In order to make the inspection wheeled robot approach navigation line towards the side where navigation line is located in the case of position deviation, and constantly correct the error during driving, it is necessary to design a visual navigation control algorithm according to the proportional link control mechanism in PID. In this paper, firstly, proportional control is used as the deviation control method for visually guiding the inspection wheeled robot to navigation line, and its control effect is analyzed. Then, the influence of heading angle on the driving error trend is analyzed, and then the visual control function is designed, and the designed connection function is used to connect the control function in segments, so as to realize the lateral deviation control of the inspection wheeled robot in the visual navigation process and the dynamic acceleration and deceleration control when the speed changes. © 2023 IEEE.

关键词： Inspection

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Research and Application of technology Based on Simulation Calculation and Performance Optimization 3

Research and Application of Technology Based on Simulation C...

引用

3rd international conference on Data Analytics, Computing and Artificial intelligence, ICDACAI 2024

作者： Li, Tangzhen Hua, Wenrui Song, Changlin Liu, Qinchen Wang, Zhe Shandong Jianzhu University Jinan China

ISBN: (纸本)9798331519032

Simulation calculation and performance optimisation are of great significance in modern scientific research and engineering applications, especially in the field of building energy efficiency retrofit. In this paper, the application of simulation calculation and performance optimisation technology in building energy efficiency is systematically investigated, and the heat transfer performance of the envelope is tested and compared with national standards. The research results show that the efficiency and effectiveness of building energy efficiency retrofit can be significantly improved through reasonable simulation calculation and performance optimisation. The proposed retrofit programme can not only reduce energy consumption, but also promote the implementation of building energy saving and emission reduction policies. The research results provide valuable references for researchers and engineers in related fields, and promote the further development and application of simulation calculation and performance optimisation technology in building energy efficiency. © 2024 IEEE.

关键词： Enclosure structure Performance optimization Simulation calculation

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Research of Educational robot Application Scenarios Based on Learning System Elements 3

Research of Educational Robot Application Scenarios Based on...

引用

3rd international conference on Educational technology, ICET 2023

作者： Kong, XinMei Fang, Haiguang Hong, Xin Shu, Lili Capital Normal University Faculty of Education Beijing China

ISBN: (纸本)9798350302332

Educational robots, whether they are physical service robots or virtual intelligent robots, are excellent examples of how Artificial intelligence (AI) can be applied to educational scenarios. AI education that aims to foster comprehensive intelligence must focus on the practical application of educational robots and how they are designed and operated. This study has developed a system architecture for educational robots that includes three layers: the foundation support layer, the technology support layer, and the application scenario layer. The application of educational robots is emphasized in various settings such as individuals, families, schools, and society. Furthermore, the study proposes a framework for analyzing the application scenarios of educational robots. To validate the findings of the study, an educational robot was utilized to teach English in a junior high school classroom under the supervision of a qualified teacher. © 2023 IEEE.

关键词： Educational robots

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Research on picking path planning method of cotton picking robotic arm 3

Research on picking path planning method of cotton picking r...

引用

3rd international conference on robotics, Artificial intelligence and Intelligent Control (RAIIC)

作者： Gong, Yutao Ranheimu, Wulkemu Tohti, Gulbahar Geni, Mamtimin Xinjiang Univ Sch Mech Engn Urumqi Xinjiang Peoples R China Special Equipment Inspect & Testing Inst Market Supervis Bur Tacheng Reg Tacheng Reg Urumqi Xinjiang Peoples R China

ISBN: (纸本)9798350352634;9798350352627

In order to improve the picking efficiency of cotton picking robotic arm in cotton field, this study analyses the spatial distribution of cotton plasmodesmata, optimizes the path planning problem of the picking arm by clustering, and gives an optimization solution method based on clustering algorithm, assigned distance weights and saliency features. The results show that, compared with sequential planning, stochastic planning and KNN clustering planning, the optimisation method proposed in this study can shorten the operation traversal time by 83.99%, 74.25% and 47.10%, respectively, and improve the operation efficiency of the picking arm by 6.25, 3.88 and 1.89 times, respectively, in the problem of the distribution of the same number of cottons. In conclusion, the path planning method of the optimisation method proposed in this paper can better plan the picking arm operation task, traverse all the cottons in a shorter time, and improve the operation efficiency. The results of the study can provide a reference for other picking robots picking task planning.

关键词： Cotton picking robot arm clustering method path planning assigning distance weights

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Global Context-Aware Method for Infrared Image Non-Uniformity Correction 3

Global Context-Aware Method for Infrared Image Non-Uniformit...

引用

3rd international conference on Artificial intelligence and Computer Information technology, AICIT 2024

作者： Ma, Zhiwei Zhang, Shuiping Wang, Lei Rao, Qiang School of Computer Science and Engineering School of Artificial Intelligence Wuhan Institute of Technology Wuhan China

ISBN: (纸本)9798350365443

Infrared imaging systems are often affected by non-uniformity, which can significantly reduce the quality of captured images and hinder subsequent image-processing tasks. Existing infrared image non-uniformity correction methods mainly suffer from incomplete detail recovery and easy ghosting. This paper proposes a global context-aware infrared image non-uniformity correction method, which effectively captures long-distance dependencies and complex feature patterns by combining residual networks and self-attention mechanisms. To verify the effectiveness of our method, we conducted extensive experiments on multiple public datasets. Experimental results show that compared with the existing state-of-the-art technology, our method performs better in both qualitative and quantitative evaluations and can effectively remove infrared image stripe noise in complex scenes while retaining key details of the image. © 2024 IEEE.

关键词： Infrared imaging

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Research on the Application of Artificial intelligence technology in Microelectronics Testing and Fault Diagnosis 3

Research on the Application of Artificial Intelligence Techn...

引用

3rd international conference on Data Analytics, Computing and Artificial intelligence, ICDACAI 2024

作者： Zhang, Yiqun Liu, Hailin Xu, Feng Weifang Engineering Vocational College Shandong Qingzhou262500 China

ISBN: (纸本)9798331519032

This paper explores the integration of Artificial intelligence (AI) technologies in the field of microelectronics testing and troubleshooting. Traditional methods for testing and troubleshooting microelectronic devices often face challenges such as high complexity, time-consumption, and the need for expert *** technologies, with their advanced capabilities in machine learning, neural networks, and expert systems, offer promising solutions to these problems. This study provides an overview of the key AI approaches employed in microelectronics, discusses their implementation in various test and diagnostic scenarios, and evaluates their impact in terms of improved accuracy, efficiency, and automation. Through a detailed analysis of case studies and real-world applications, the paper demonstrates how AI-driven approaches are revolutionizing the microelectronics industry, paving the way for more reliable and sophisticated electronic devices. The study concludes with a discussion of the current limitations of AI technologies in the field and suggests potential directions for future research and development. © 2024 IEEE.

关键词： Expert systems

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Application Research of Euler Deconvolution-Based Magnetic Object Localization Algorithm in Luggage Positioning Systems 3

Application Research of Euler Deconvolution-Based Magnetic O...

引用

3rd international conference on Artificial intelligence, Internet of Things and Cloud Computing technology, AIoTC 2024

作者： Wang, Zhuxin Li, Li School of Design and Art Lanzhou University of Technology Gansu Lanzhou China

ISBN: (纸本)9798331530280

This paper designs a luggage positioning system based on magnetic field localization. The system utilizes a magnetic gradient tensor sensor to capture the magnetic field gradient generated by magnetic objects inside the luggage. Highprecision positioning is achieved through the implementation of the Euler deconvolution algorithm. The system is capable of realtime acquisition and processing of the luggage's spatial position information, ensuring stable localization in complex environments, especially in scenarios with strong signal interference or environmental complexity, where it demonstrates high robustness. Simulation results show that despite the presence of noise interference, the system maintains accurate positioning. This research innovatively applies the Euler deconvolution localization algorithm to luggage positioning scenarios, offering a promising approach to addressing some of the challenges associated with magnetic object localization in practical applications. © 2024 IEEE.

关键词： Deconvolution

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Design and Implementation of Indoor Patrol robot 3

Design and Implementation of Indoor Patrol Robot

引用

3rd IEEE international conference on Power, Electronics and Computer applications, ICPECA 2023

作者： Sun, Zhichao Cai, Xinyue Mao, Limin Yao, Jinxin Changshu Institute of Technology Changshu215500 China

ISBN: (纸本)9781665472784

In this paper, the depth camera and lidar are used in indoor patrol robot, and the Gmapping algorithm of particle filter algorithm is used to construct map, which realizes the automatic navigation of Move-base algorithm combining global path planning and local path planning. In this paper, the adaptive Monte Carlo localization algorithm is used for localization, and the real-time analysis of obstacles to achieve automatic obstacle avoidance, to improve the actual use of the robot security. The feasibility of the robot is verified by simulation experiments in this paper. Through experimental debugging, the robot can accurately realize autonomous positioning and navigation, and achieve the basic function of indoor patrol. © 2023 IEEE.

关键词： Machine design

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A Comprehensive Survey on Enhancing Digital Twin Security Systems with Explainable AI Techniques 3

A Comprehensive Survey on Enhancing Digital Twin Security Sy...

引用

3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Lalithadevi, B. Krishnaveni, S. Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India Department of Computational Intelligence SRM Institute of Science and Technology Kattankulathur India

ISBN: (纸本)9798331527549

Digital Twin (DT) technology has emerged as a cornerstone in modern engineering, enabling real-time digital replication of physical assets for monitoring, diagnostics, and optimization. However, as DTs become increasingly integrated into critical infrastructure, their security has become a paramount concern. This paper presents a comprehensive survey on the integration of Explainable Artificial intelligence (XAI) into Digital Twin security, highlighting the potential of XAI in enhancing the transparency, interpretability, and trustworthiness of AI - driven security mechanisms in DTs. We explore various XAI techniques, including model- agnostic approaches, interpretable neural networks, and rule-based systems, detailing their potential applications in bolstering the security of Digital Twins. Furthermore, we identify several key challenges in implementing XAI for DT security, such as the need for standardized metrics for interpretability, the trade-offs between model complexity and explainability, and the potential for adversarial attacks on explainable models. Through our analysis, we highlight the critical research gaps, including the security of Digital Twin (DT) systems and explores the integration of Explainable AI (XAI) to enhance transparency, interpretability, and trustworthiness. Outcomes include detailed XAI applications for DT security, identification of limitations, and a roadmap for future research. We discuss various XAI techniques, their applications, and the current challenges in implementing XAI for DT security. Our survey identifies key research gaps and offers a roadmap for future research in this emerging field. © 2025 IEEE.

关键词： Artificial intelligence

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Action Recognition System Based 5G Communication and Edge Computing for Service robot 3

Action Recognition System Based 5G Communication and Edge Co...

引用

3rd IEEE international conference on Computer Communication and Artificial intelligence, CCAI 2023

作者： Zhang, Yanming Wei, Cailun Sun, Gangcan Zhang, Dawei Zhengzhou University School of Electrical and Information Engineering Zhengzhou China Zhengzhou University School of Computer and Artificial Intelligence Zhengzhou China

ISBN: (纸本)9798350335262

Action recognition is one of the most critical technologies for the robot to provide service excellently. In order to solve the problems of low accuracy, limited arithmetic power, and low intelligence of service robot's action recognition, an action recognition system based on 5G communication and edge computing is proposed. Communication and data interaction between robot and edge computing device is realized by using 5G routers and technologies such as NAT and Socket. A LightSlowfast network is designed for the service robot, which improves action recognition accuracy while reducing the computational effort. The experimental results show that the Light-Slowfast network achieves 72.9% accuracy on the HMDB51 dataset. The system performs well in practical tests, and the low latency of data transmission can satisfy the robot's demand for real-time action recognition. © 2023 IEEE.

关键词： Edge computing

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