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2nd International Conference on Advances in Artificial Intelligence and Applications, AAIA 2024

作者： Zhou, Junjie Wu, Qian School of Information Wuhan Software Engineering Vocational College Wuhan Open University Hubei Wuhan China School of Computer Science Wuhan University Hubei Wuhan China Hubei Engineering Research Center for Intelligent Detection and Identification of Complex Parts Wuhan China

ISBN: (纸本)9798400712883

With the rapid development of artificial intelligence technology, its application in the field of education and teaching is becoming increasingly widespread, bringing revolutionary changes to traditional education models. To cultivate high-quality software vocational skills talents, a digital management platform based on AI+capability model is constructed to explore the innovative application of artificial intelligence in education and teaching, realizing intelligent auxiliary learning functions such as personalized resource recommendation, student growth monitoring, and achievement label portrait. At the same time, a series of intelligent teaching tools such as"AI+Code Generation, AI+Inspection Assistant, AI+Process Map" will be developed to explore and promote the vertical application of big models in talent cultivation. Through innovative models such as"introducing enterprises into education, cultivating students through real-life situations, AI+empowerment, teaching according to students’ aptitude, trinity, innovative training, strengthening processes, and diverse evaluations", it has been fully applied to the talent training scene of software technology field engineers, and its teaching effectiveness is significant. © 2024 Copyright held by the owner/author(s).

关键词： Students

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research on Trajectory Planning of Denture Milling Machine Tools 11

Research on Trajectory Planning of Denture Milling Machine T...

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11th International Conference on Soft Computing and Machine Intelligence, ISCMI 2024

作者： Huang, Cai Fang, Jie Chen, Xubing Yan, Kuan Xiao, Haoyuan Zhu, Jianfeng Hubei Engineering Research Center for Intelligent Detection and Identification of Complex Parts Wuhan430205 China Wuhan Institute of Technology School of Mechanical & Electrical Engineering Wuhan430205 China

ISBN: (纸本)9798331518127

In the current era of rapidly advancing global technology, characterized by deep integration and rapid progress in materials science, information technology, and intelligent manufacturing, the international high-end manufacturing sector is undergoing unprecedented transformation and upgrading. The swift development of high-end manufacturing technology and society's strong pursuit of quality of life have presented new opportunities for the dental prosthetic manufacturing industry. However, traditional dental milling machine technology is no longer able to meet increasingly stringent accuracy requirements and consumes significant energy, thereby limiting the industry's development. This study involves reconstructing and optimizing STL file topology using both triangular mesh topology algorithms and half-edge topology algorithms. It accurately determines tool positions through curve fitting utilizing the least squares method. Additionally, it employs NURBS algorithms to generate tool paths and designs specific algorithms to reduce path redundancy, thus improving machining efficiency. Simulation experiments demonstrate that the proposed trajectory optimization algorithm effectively reduces milling time by 68 seconds and decreases energy consumption by 10%. This research provides theoretical support for innovative development and practical application of dental milling machine technology. © 2024 IEEE.

关键词： Milling machines

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Secure Output-Feedback Coordinated Maneuvering of Nonlinear Systems via Full-Order Neural Observer and Resilient Distributed Paths Update 43

Secure Output-Feedback Coordinated Maneuvering of Nonlinear ...

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43rd Chinese Control Conference, CCC 2024

作者： Zhang, Yibo Wu, Wentao Xie, Tao Wu, Di Hu, Zhihuan Zhang, Weidong Shanghai Jiao Tong University Shanghai Department of Automation China Shanghai Jiao Tong University Hubei Engineering Research Center for Intelligent Detection and Identification of Complex Parts Department of Automation Shanghai China

ISBN: (纸本)9789887581581

This paper presents a secure output-feedback control method for coordinated maneuvering of nonlinear systems subject to immeasurable states, uncertain nonlinearities, timevarying disturbances, and denial of service (DoS) attacks. The attacks considered herein occur in the links rather than on the nodes. The proposed method includes a full-order state observer that observes states information, and a neural network that approximates the nonlinear uncertainties. An observer-based neural network adaptive control law is developed using a dynamic surface control approach to achieve path maneuvering. Besides a resilient distributed path update law is developed to enable distributed secure coordination under DoS attacks. The stability of the closed-loop system is established using an input-to-state cascade system analysis, and the secure coordination of path updates is analyzed. Finally, a simulation example is presented to demonstrate the effectiveness of the proposed method. © 2024 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Feedback control

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Dlpp-Net: Degradation Location Prior Prediction Network for Image Restoration 6

Dlpp-Net: Degradation Location Prior Prediction Network for ...

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6th ACM International Conference on Multimedia in Asia, MMAsia 2024

作者： Liu, Yongjian Zhang, Shunwei Xu, Jinyu Li, Jiachen Ma, Yanchun Xie, Qing Wuhan University of Technology Wuhan China Engineering Research Center of Intelligent Service Technology for Digital Publishing Ministry of Education Wuhan China Wuhan Vocational College of Software and Engineering Wuhan China Hubei Engineering Research Center for Intelligent Detection and Identification of Complex Parts Wuhan China

ISBN: (纸本)9798400712739

Image restoration aims to reconstruct the latent high-quality image by removing its degradation factors. Despite the promising performance achieved by previous traditional models and deep learning-based methods, the explicit use of degradation location information within the corrupted input has been overlooked, limiting their ability to effectively target and restore degraded regions. To this end, we propose a degradation location prior prediction network (Dlpp-Net), its degradation prior prediction module (DPPM) can capture prior information about degraded regions using a recurrent architecture. To further improve the validity of this prior information, we develop a prior modulation module (PMM) that enhances the network's focus on degraded areas and delivers more valuable reference information. Comprehensive experiments demonstrate that our Dlpp-Net performs competitively against state-of-the-art algorithms on 7 datasets across 3 image restoration tasks, including image desnowing, image deraining, and image motion deblurring. © 2024 Copyright held by the owner/author(s).

关键词： Restoration

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2-D DOA Estimation of Coherent Signals Using the Dual-Size Spreading Array

2-D DOA Estimation of Coherent Signals Using the Dual-Size S...

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2024 International Conference on intelligent Manufacturing and Mechatronics, IMM 2024

作者： Li, Yang-Mei Cai, Bo No. 117 Optics Valley Avenue East Lake High-tech Development Zone Hubei Province Wuhan China Hubei Engineering Research Center for Intelligent Detection and Identification of Complex Parts Hubei Province Wuhan China Wuhan Hanqtech Technology Co. Ltd Hubei Province Wuhan China

We introduce a novel approach for high-precision estimation of two-dimensional (2-D) Direction-of-Arrival (DOA) under conditions of coherent interference. This study innovatively devises an antenna configuration, termed the Dual-Size Spreading Array, specifically tailored to estimate DOAs in such environments. The method involves integrating a subarray with the primary array to create a Dual-Size Extended Array structure. This integration allows for a transformation of the covariance matrix into a new form, where its rank solely depends on the number of impinging waves. Both the subarray and primary array must have a scale no less than the number of incoming wavefronts. This proposed technique not only amplifies the effective aperture but also significantly reduces the computational intricacy associated with DOA estimation procedures. The efficacy of our methodology has been substantiated through simulation results, which demonstrate that it outperforms the conventional spatial smoothing techniques. Moreover, we provide several practical guidelines designed to enhance estimation accuracy while concurrently minimizing computational demands. In summary, this research presents an advanced solution that effectively addresses challenges in 2D DOA estimation under coherent scenarios, achieving improved performance and computational efficiency compared to existing methods. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Direction of arrival

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Tracking performance limitations of networked control systems with packet dropouts and logarithmic quantization 41

Tracking performance limitations of networked control system...

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第41届中国控制会议

作者： Jianhao Li Xiaowei Jiang Hao Chen Shaoying Wang Xianhe Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System College of Science Binzhou University School of Electrical Engineering and Automation Hubei Normal University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we focus on the tracking performance(TP) limitations of networked control systems(NCS s).The control system considered is a multi-input and multi-output(MIMO) discrete-time network control system with time delay,channel noise,packet dropouts,and logarithmic quantization communication *** modeling the channel,we assumed the channel noise to be additive white Gaussian noise(AWGN) and used a binary random process to model packet dropouts and a logarithmic quantizer to model the quantization *** explicit expression of the TP limitations of NCSs utilizing the two-degree-of-freedom(TDOF) controller is then derived using the frequency-domain approach,coprime decomposition,and Youla parameterization *** results show that the essential characteristics of the plant(locations and directions of nonminimum phase zeros and unstable poles) and network constraints(time delay,packet dropouts,quantization,and noise power spectral density) are closely related to the TP limitations.

关键词： Networked control systems tracking performance limitations packet dropouts logarithmic quantization

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Secure Output-Feedback Coordinated Maneuvering of Nonlinear Systems via Full-Order Neural Observer and Resilient Distributed Paths Update

Secure Output-Feedback Coordinated Maneuvering of Nonlinear ...

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第43届中国控制会议

作者： Yibo Zhang Wentao Wu Tao Xie Di Wu Zhihuan Hu Weidong Zhang Department of Automation Shanghai Jiao Tong University Department of Automation Shanghai Jiao Tong University Hubei Engineering Research Center for Intelligent Detection and Identification of Complex Parts

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This paper presents a secure output-feedback control method for coordinated maneuvering of nonlinear systems subject to immeasurable states,uncertain nonlinearities,timevarying disturbances,and denial of service(DoS) *** attacks considered herein occur in the links rather than on the *** proposed method includes a full-order state observer that observes states information,and a neural network that approximates the nonlinear *** observer-based neural network adaptive control law is developed using a dynamic surface control approach to achieve path ***,a resilient distributed path update law is developed to enable distributed secure coordination under DoS *** stability of the closed-loop system is established using an input-to-state cascade system analysis,and the secure coordination of path updates is ***,a simulation example is presented to demonstrate the effectiveness of the proposed method.

关键词： Output feedback Coordinated Maneuvering Dynamic surface control Neural observer DoS attacks

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research on Trajectory Planning of Denture Milling Machine Tools

Research on Trajectory Planning of Denture Milling Machine T...

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International Conference on Soft Computing and Machine Intelligence (ISCMI)

作者： Cai Huang Jie Fang Xubing Chen Kuan Yan Haoyuan Xiao Jianfeng Zhu Hubei Engineering Research Center for Intelligent Detection and Identification of Complex Parts Wuhan P.R. China School of Mechanical & Electrical Engineering Wuhan Institute of Technology Wuhan P.R. China

ISBN: (数字)9798331518127

ISBN: (纸本)9798331518134

In the current era of rapidly advancing global technology, characterized by deep integration and rapid progress in materials science, information technology, and intelligent manufacturing, the international high-end manufacturing sector is undergoing unprecedented transformation and upgrading. The swift development of high-end manufacturing technology and society’s strong pursuit of quality of life have presented new opportunities for the dental prosthetic manufacturing industry. However, traditional dental milling machine technology is no longer able to meet increasingly stringent accuracy requirements and consumes significant energy, thereby limiting the industry’s development. This study involves reconstructing and optimizing STL file topology using both triangular mesh topology algorithms and half-edge topology algorithms. It accurately determines tool positions through curve fitting utilizing the least squares method. Additionally, it employs NURBS algorithms to generate tool paths and designs specific algorithms to reduce path redundancy, thus improving machining efficiency. Simulation experiments demonstrate that the proposed trajectory optimization algorithm effectively reduces milling time by 68 seconds and decreases energy consumption by $10 \%$. This research provides theoretical support for innovative development and practical application of dental milling machine technology.

关键词： Trajectory planning Termination of employment Milling Dentistry Topology Manufacturing Surface topography Trajectory optimization Milling machines Prosthetics

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Efficiency tunable terahertz graphene metasurfaces for reflective single/dual-focusing effects based on Pancharatnam-Berry phase

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Results in Physics 2024年 65卷

作者： Yang, Wenzhi Yang, Lingling Cai, Bin Wu, Ling Feng, Siqi Cheng, Yongzhi Chen, Fu Luo, Hui Li, Xiangcheng School of Information Science and Engineering Engineering Research Center for Metallurgical Automation and Detecting Technology Ministry of Education Wuhan University of Science and Technology Wuhan 430081 China School of Electronic Engineering Hubei Engineering Research Center for Intelligent Detection and Identification of Complex Parts Wuhan Vocational College of Software and Engineering (Wuhan Open University) Wuhan 430205 China School of Physics and Electronic Information Engineering Hubei Engineering University Xiaogan 432000 China The State Key Laboratory of Refractories and Metallurgy Wuhan University of Science and Technology Wuhan 430081 China Key Laboratory of High Temperature Electromagnetic Materials and Structure of MOE Wuhan University of Science and Technology Wuhan 430081 China

In this paper, an efficiency tunable reflective metasurface (MS) consisting of a dielectric substrate sandwiched between hollow Z-shaped (HZS) structure graphene and a metallic ground plane is proposed for single/dual-focusing effects based on Pancharatnam-Berry (PB) in terahertz (THz) region. Numerical simulations demonstrate that the designed HZS graphene can achieve a circular polarization (CP) conversion with efficiency of approximately 98 % at a Fermi energy level (E_F) of 1.0 eV. Moreover, by adjusting the rotation angle of the HZS graphene, a full 0-2π phase coverage can be achieved. Of note, the simulation results also reveal that the reflective CP conversion efficiency is highly dependent on the value of the E_F. By carefully designing the spatial phase distribution of the graphene MS, tunable reflective single/dual-focusing effects can be realized, with focusing efficiency controlled by the E_F. It is anticipated that the proposed tunable graphene MS will have broad applications in communications, imaging, and others in THz domains. © 2024 The Author(s)

关键词： Circular polarization conversion Dual-focusing Graphene metasurface Terahertz

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The Analysis of Muscle-Synergy Similarity between Walking and Pedaling Based on Variational Mode Decomposition and Non-Negative Matrix Factorization

The Analysis of Muscle-Synergy Similarity between Walking an...

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IEEE International Conference on engineering, Technology and Innovation

作者： Wangyang Ge Jinhua She Shijie Guo Feng Wang Juan Zhao Seiichi Kawata School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China School of Engineering Tokyo University of Technology Hachioji Tokyo Japan Engineering Research Center of the Ministry of Education for Intelligent Rehabilitation Equipment and Detection Technologies Hebei Key Laboratory of Robot Sensing and Human-Robot Interaction Tianjin China School of Mechanical Engineering Hebei University of Technology Tianjin China

ISBN: (数字)9798350362435

ISBN: (纸本)9798350362442

Pedaling lower-limb rehabilitation robots are widely used in various stages of lower-limb rehabilitation because of their high safety and low requirements for patients' lower-limb strength. researchers found that the activation sequence of the surface electromyographic (sEMG) signals of the muscles of the lower limb during pedaling is very similar to that of walking, which makes it possible to simulate the muscle force generation during walking by changing the pedal load during pedaling training. However, most pedaling lower-limb rehabilitation robots use constant loads, and it is of great importance to study the relationship between load and muscle synergy and to design load phase angle trajectories with higher muscle synergy consistency in the walking-pedaling motion to optimize the training effect of pedal-type rehabilitation robots. In this paper, we used variational mode decomposition (VMD) and nonnegative matrix factorization (NMF) to extract the muscle synergy features in each band of sEMG during walking and pedaling and to study the similarity of pedaling and walking and the influence of pedal load on muscle synergy consistency.

关键词： Legged locomotion Training Technological innovation Time series analysis Muscles Assistive robots Feature extraction Trajectory Safety Matrix decomposition

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