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检索条件"任意字段=IEEE International Conference on Cyber Technology in Automation,Control,and Intelligent Systems"

共 35128 条记录，以下是661-670 订阅

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Towards Inclusive cybersecurity: Protecting the Vulnerable with Social cyber Vulnerability Metrics 6

Towards Inclusive Cybersecurity: Protecting the Vulnerable w...

引用

6th ieee international conference on Trust, Privacy and Security in intelligent systems, and Applications, TPS-ISA 2024

作者： Mitra, Shutonu Zhang, Qi Chang, Chen-Wei Salemi, Hossein Purohit, Hemant Zhang, Fengxiu Hong, Michin Lu, Chang-Tien Cho, Jin-Hee Virginia Tech Department of Computer Science United States George Mason University Department of Information Sciences and Technology United States George Mason University School of Policy and Government United States Indiana University School of Social Work United States

ISBN: (纸本)9798350386745

This paper addresses the need for developing an inclusive social cyber vulnerability (iSCV) metric to assess the unique risks faced by underrepresented groups in cyberspace. Current metrics often fail to capture the vulnerabilities specific to marginalized populations, particularly in terms of digital literacy, access to resources, and behavioral traits. By integrating demographic representation, psychosocial stressors, and exposure to targeted attacks, the proposed iSCV aims to serve as a practical tool for improving security measures. The study emphasizes the importance of tailored interventions to enhance the resilience of vulnerable groups against social cyberattacks. Future research will focus on refining the metric through real-world applications and expanding its scope to address intersectional vulnerabilities. © 2024 ieee.

关键词： cyber attacks

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Open Circuit Fault Diagnosis Method for DC Microgrids Based on Improved Pearson Correlation Algorithm 2

Open Circuit Fault Diagnosis Method for DC Microgrids Based ...

引用

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

作者： Zhuo, Hangyi Yang, Yang He, Siming Li, Ka Pu, Xuebin Yang, Houhua School of Electronic Information Engineering Changchun Science University China School of Electrical and Information Engineering Changchun Institute of Technology China School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin China

ISBN: (纸本)9798350373318

A fault diagnosis method based on improved Pearson correlation algorithm and Convolutional Neural Network (CNN) is proposed to address the issue of high diagnostic speed and high proportion of semiconductor power transistor faults in DC-DC converters in DC microgrids. This method uses the triangular wave algorithm to convert the PWM fault signal output by the power electronic controller into a triangular wave signal, and performs a rolling window correlation operation with the DC bus voltage ripple characteristic signal. Subsequently, the calculated correlation coefficients are combined with convolutional neural networks (CNN) to achieve fast and accurate diagnosis of open circuit faults in semiconductor power transistors. The simulation test results based on MATLAB/Simulink show that the proposed fault diagnosis method can quickly and accurately identify the open circuit fault of semiconductor power transistors in DC microgrids. © 2024 ieee.

关键词： MATLAB

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The Effects of cyber Security Attacks on Data Integrity in AI

The Effects of Cyber Security Attacks on Data Integrity in A...

引用

2024 ieee international conference on intelligent Computing and Emerging Communication Technologies, ICEC 2024

作者： Vadisetty, Rahul Wayne State University Electrical Engineering DetroitMI United States

ISBN: (纸本)9798331508432

The benefits of new technology are becoming increasingly apparent to organisations as digital transformation continues. However, as technology becomes more widely used, cybersecurity threats and attacks are also becoming more common. Therefore, in order to combat constantly changing threats, increasingly advanced protections are needed. One potential solution could be to use AI. In order to evaluate the efficacy of artificial intelligence (AI)-based solutions in comparison to more conventional methods of cyber defence, the researchers in this study conducted a systematic literature review (SLR). Using the PRISMA flow diagram, the review procedures were sketched out. The other seventy-three papers were culled from scholarly publications that were searchable in EBSCO Host, Google Scholar, Science Direct, ProQuest, and SCOPUS between 2018 and 2023. Findings suggest that AI has the potential to improve cybersecurity in several areas, including automation, threat intelligence, and increased cyber defence. On the other hand, it raises new challenges, like adversarial attacks and the need for high-quality data, both of which might make AI less effective. © 2024 ieee.

关键词： Artificial intelligence cyber-risks cybersecurity Super-forecasting

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Fault-Tolerant control for Delayed PDE-ODE Coupled systems 3

Fault-Tolerant Control for Delayed PDE-ODE Coupled Systems

引用

3rd international conference on Robotics, automation and intelligent control, ICRAIC 2023

作者： Shi, Xi-Dong Wang, Zi-Peng Yan, Xue-Hua Zhang, Xiao-Wei University of Jinan School of Electrical Engineering Jinan China Beijing University of Technology Faculty of Information Technology Beijing China Tiangong University School of Control Science and Engineering Tianjin China

ISBN: (纸本)9798350360813

This paper introduces a fault-tolerant control strategy for delayed PDE-ODE coupled systems. By using a Lyapunov functional (LF), a fault-tolerant control design is developed by space-dependent linear matrix inequality (SDL-MI) to ensure the exponential stability (ES) for the closed-loop delayed PDE-ODE coupled system. Finally, the effectiveness of the control approach is demonstrated through its application to a hypersonic rocket car (HRC). © 2023 ieee.

关键词： Lyapunov functions

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Fault-Tolerant Event-Triggered Sampled-Data control for Synchronization of Reaction-Diffusion Neural Networks 22

Fault-Tolerant Event-Triggered Sampled-Data Control for Sync...

引用

22nd ieee international conference on Industrial Informatics, INDIN 2024

作者： Zhao, Feng-Liang Wang, Zi-Peng Li, Yue-Yang School of Intelligent Systems Engineering Shenzhen Campus of Sun Yat-Sen University Shenzhen518000 China Faculty of Information Technology Beijing University of Technology Beijing China School of Electrical Engineering University of Jinan Jinan250022 China

ISBN: (纸本)9798331527471

Under spatially point measurements (SPMs), this paper introduces a fault-tolerant event-triggered sampled-data (FETSD) control for the output synchronization of reaction-diffusion neural networks (RDNNs). Considering the possible actuator failure and to reduce the communication burden, a FETSD control method presented by linear matrix inequalities (LMIs) conditions is designed according to an appropriate Lyapunov functional (LF) and inequality techniques, which can guarantee the exponential stability of the synchronization error system. Lastly, one numerical example is presented to illustrate the effectiveness of the designed strategy. © 2024 ieee.

关键词： Linear matrix inequalities

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Robot-Assisted Ultrasound Probe Force control Under Respiration-Induced Motion

Robot-Assisted Ultrasound Probe Force Control Under Respirat...

引用

ieee/ASME international conference on Advanced intelligent Mechatronics (AIM)

作者： Yuan, Kai-Shiang Lee, Yu-Hsiu Natl Taiwan Univ Dept Mech Engn Taipei Taiwan

ISBN: (纸本)9798350355376;9798350355369

A robot-assisted force control system for stable ultrasound imaging has been developed for abdomen intervention. The system aims to integrate 6-DoF robot arm, 6-axis force/torque sensor, and ultrasound probe, featuring automatic stabilization during intervention and real-time compensation for respiratory disturbance. Following the procedural workflow, the system has two operational modes. The first, rooted in admittance control, swiftly positions the robotic-held ultrasound for efficient registration. The second mode, employing the proposed adaptive control, ensures stable contact despite respiratory motion influences, enhancing procedural resilience and effectiveness. The adaptive controller predicts and eliminates disturbances more effectively than the baseline admittance controller, thanks to its utilization of the pseudo-periodic nature of respiration. The efficacy of the adaptive controller has been verified through experiments with a sponge abdomen phantom, demonstrating significant improvements in force regulation.

关键词： Adaptive control systems

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A StyleGAN3-Based Data Augmentation Method for Ceramic Defect Detection 6

A StyleGAN3-Based Data Augmentation Method for Ceramic Defec...

引用

ieee 6th international conference on Industrial cyber-Physical systems (ICPS)

作者： Ou, Huimin An, Jianqi Wang, Xing-ao Xiong, Jianru Chen, Xin Wang, Qingyi China Univ Geosci Sch Automat Wuhan 430074 Peoples R China Hubei Key Lab Adv Control & Intelligent Automat C Wuhan 430074 Peoples R China Minist Educ Engn Res Ctr Intelligent Technol Geo Explorat Wuhan 430074 Peoples R China

ISBN: (纸本)9798350311259

Deep learning is currently the mainstream method for ceramic defect detection, and it requires a large number of defect samples to train the network. However, collecting these defect samples is very time-consuming and deep learning suffers from few-shot learning problems. In this study, a StyleGAN3-based data augmentation method for ceramic defect detection was proposed which can generate ceramic defect samples and thus reduce the data collection work. Experiments show that our method uses less training time, has a more stable training process, and can improve the accuracy of the detection network.

关键词： ceramic defect detection generating adversarial networks

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Development of an intelligent Precedent-based Decision Support System for Operational Planning of Steelmaking Production 5

Development of an Intelligent Precedent-based Decision Suppo...

引用

5th international conference on control systems, Mathematical Modeling, automation and Energy Efficiency, SUMMA 2023

作者： Poleshchenko, D.A. Kovrizhnykh, O.A. National University of Science and Technology MISIS Faculty of Automation and Information Technology Stary Oskol Russia

ISBN: (纸本)9798350309126

The article describes the problem of operational planning of steelmaking production. The analysis of the production enterprise from the point of view of system approach is considered and the situational approach is applied to solve the problem of shift-daily scheduling. The authors propose the development of an intelligent decision support system. Models for searching for precedents and systems of product rules for adapting the found precedent to the current situation in the conditions of steelmaking production are developed. Such a solution helps to reduce the downtime of units, the time of equipment changeover during the shift, which will allow to produce an additional volume of steel. © 2023 ieee.

关键词： Decision support systems

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In-Situ 3D Printing Monitoring in Dynamic Environments via Self-Supervised Deep Neural Network Adaptation 20

In-Situ 3D Printing Monitoring in Dynamic Environments via S...

引用

ieee 20th international conference on automation Science and Engineering (CASE)

作者： Wang, Fang Xiong, Gang Fang, Qihang Shen, Zhen Wang, Di Wan, Li Dong, Xisong Wang, Fei-Yue Chinese Acad Sci Inst Automat State Key Lab Multimodal Artificial Intelligence Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China Chinese Acad Sci Beijing Engn Res Ctr Intelligent Syst & Technol Inst Automat Beijing 100190 Peoples R China Chinese Acad Sci Guangdong Engn Res Ctr 3D Printing & Intelligent Cloud Comp Ctr Dongguan 523808 Peoples R China South China Univ Technol Sch Mech & Automot Engn Guangzhou 510641 Guangdong Peoples R China Beijing Ten Dimens Technol Co Ltd Beijing 100084 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

ISBN: (纸本)9798350358513;9798350358520

3D printing technology has rapidly advanced, yet the variability in deployment environments poses significant challenges for monitoring systems, because the dynamic deployment environments such as changes in lighting and monitoring camera status, can severely impact the effectiveness and robustness of monitoring systems. To tackle this problem in monitoring system, this paper introduces a novel approach for deep neural network (DNN) adaptation to the dynamic environments through self-supervised learning and applies it to during in-situ monitoring. Specifically, we introduce a self-supervised learning strategy that leverages the auxiliary reconstruction task during in-situ monitoring, subsequently applying self-supervised fine-tuning to classification tasks with a new imbalanced-aware classification loss. Our methodology was rigorously evaluated using a real-world dataset for 3D printing defect detection. The experimental outcomes affirm the robustness of our approach, showcasing a higher defect detection accuracy rate than baselines. This substantially mitigates the adverse effects associated with printing defects, thereby increasing the reliability and quality of 3D printing processes.

关键词： Self-supervised learning

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Design Concept of a Magnetic Levitation Multifunction Mechanical Testing Device 2

Design Concept of a Magnetic Levitation Multifunction Mechan...

引用

2nd international conference on Mechatronics, control and Robotics, ICMCR 2024

作者： Ren, Mengyi Oka, Koichi Kochi University of Technology Department of Intelligent Mechanical Systems Engineering Kochi Japan

ISBN: (纸本)9798350396096

This article proposes a noncontact multi-function mechanical testing device using magnetic levitation mechanism, in which a specimen can be tested in various ways (Tension, compression, bending and torsion) while the specimen and few parts are being levitated. This article mainly focuses on the design of the magnetic levitation mechanism, tension mechanism, compression mechanism, bending mechanism and torsion mechanism. Furthermore, FEM (Finite Element Method) analyses were conducted to calculate the loading capacities of the devices. Moreover, control simulations were performed to examine the stability and robustness of the levitation under the maximum tension force, compression force, bending force and torque. Finally, control simulation results demonstrated that the levitation control system has good stability and robustness under the maximum tension force, compression force, bending force and torque. © 2024 ieee.

关键词： Magnetic levitation

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