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5th International Conference on Artificial Intelligence and computer Science, AICS 2023

作者： Li, Suyang Bai, Xiaojun Wang, Shenhang School of Computer Science and Engineering Xi’an Technological University Shaanxi Xi’an710021 China Beijing Aerospace Automatic Control Institution Beijing100076 China

ISBN: (纸本)9781510668621

SDN (Software Defined Networking) is a novel network architecture that allows for flexible configuration and centralized control of resources. However, it also presents new fault problems, particularly in high data volumes and complex topologies where traditional anomaly detection algorithms often need to be revised. To address this issue, we propose a knowledge graph-based approach to SDN fault detection. By leveraging the interpretability and expressiveness of knowledge graphs and the SDN controller’s global information, we construct and continuously update a knowledge graph that enables real-time monitoring and analysis of the network state. Finally, we detect and diagnose the abnormal conditions in the network through graph inference. The experimental results indicate that the knowledge graph-based SDN fault detection algorithm demonstrates high accuracy and efficiency, effectively enhancing SDN networks’ operational stability and security. © 2023 SPIE.

关键词： Anomaly detection

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An Unmanned Aerial Vehicle-aided sparse data gathering in Wireless Sensor Networks 8

An Unmanned Aerial Vehicle-aided sparse data gathering in Wi...

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8th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2022

作者： Lv, Cuicui Wang, Peijin Wang, Peng Du, Zhenbin Li, Xiangming YanTai University School of Computer and Control Engineering YanTai264005 China YanTai University School of Environment and Materials Engineering YanTai264005 China

ISBN: (纸本)9781665477352

Sensory data in Wireless Sensor Networks have many redundancies. For this problem, the paper presents a sparse data gathering framework, which adopts Compressive Sensing(CS) to reduce data redundancies, and utilizes Unmanned Aerial Vehicle (UAV) as the mobile relay to collect the compressed data. In this framework, the UAV is only required to collect data of the fewer nodes to generate the measurement matrix, and joins the covariance matrix to design the sensing matrix in CS. To reduce energy consumption, we use greedy algorithm to plan the route of the UAV. The experiments demonstrate that the proposed framework can make data be sparser and the recovery performance be better. © 2022 IEEE.

关键词： Wireless sensor networks

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Lightweight Security Protection System Architecture for Digital Grid Mobile Application Platform 2

Lightweight Security Protection System Architecture for Digi...

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2nd International Conference on Green Communication, Network, and Internet of Things, CNIoT 2022

作者： Ren, Jiyuan Liu, Fuyang Song, Yang Wang, Zhe Yin, Lu Wang, Jing Dispatching and Control Center Northeast Branch of State Grid Corporation of China Shenyang China School of Computer Science and Engineering Northeastern University Shenyang China

ISBN: (纸本)9781510662940

The risk of data leakage and security vulnerabilities exist in digital grid mobile application platforms such as "i State Grid". To address this problem, an application security plug-in for digital grid smart terminals is designed. A lightweight mobile application security protection system architecture is proposed to prevent user data from being damaged and leaked. The system architecture mainly contains three aspects: static environment assessment of mobile applications, dynamic detection of malicious applications, and mobile application risk assessment. That also reduces the security risk from external factors such as the Internet, and effectively ensures the safe and stable operation of the "i State Grid" system. © 2023 SPIE.

关键词： Risk assessment

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An LSTM-PSO-Based Predictive Strategy and Its Application in the Main Steam Temperature control in Power Plants 2

An LSTM-PSO-Based Predictive Strategy and Its Application in...

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2023 2nd International Conference on Power System and Power engineering, PSPE 2023

作者： Jin, Fei Hao, Xiaoguang Yin, Zhe Yang, Chunlai Liu, Xuelai Shi, Yijun State Grid Hebei Energy Technology Service Co. Ltd Shijiazhuang050021 China School of Control and Computer Engineering Beijing102206 China

We proposed an LSTM-PSO predictive controller strategy to overcome the large delay and strong disturbance during main steam temperature control. First, the long short-term memory (LSTM) network model was developed to forecast the future trend of mainstream temperature, and the deviation between the model output and the expected value after feedback correction was minimized by the particle swarm optimization (PSO) algorithm. Then, the LSTM-PSO predictive controller was taken as the primary controller to maintain the steam temperature of the coal-fired boiler. A comparative simulation with conventional PID cascade control and dynamic matrix controller strategies was given, and the test calculations indicate that the adjustment time was shortened and the overshoot was reduced. Finally, the LSTM - PSO predictive control strategy was deployed into the actual boiler operation process of a 300 MW coal-fired power plant, within 0.5 °C steady-state error and 2 °C dynamic error. © Published under licence by IOP Publishing Ltd.

关键词： controllers

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PI-funnel and inverse hysteresis compensation cascade control of smart soft dielectric elastomer actuator

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control Theory and Technology 2024年第4期22卷 552-567页

作者： Peng Huang Yawu Wang Yue Zhang Jundong Wu Chun-Yi Su School of Automation China University of GeosciencesWuhan430074HubeiChina Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074HubeiChina Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan430074HubeiChina Gina Cody School of Engineering and Computer Science Concordia UniversityMontrealQCH3G 1M8Canada

Smart soft dielectric elastomer actuators(SSDEAs)possess wide applications in soft robotics due to their properties similar to natural muscles,including large deformation ratio,high energy density,and fast response ***,the complicated asymmetric and rate-dependent hysteresis property,creep property and quadratic input property of the SSDEA pose enormous challenges to its dynamic modeling and motion *** this paper,first,we construct the dynamic model of the SSDEA by connecting a square module,a one-sided Prandtl–Ishlinskii(OSPI)model and a linear system in series to describe the above *** key and innovative aspect of the dynamic modeling lies in cascading the square module in series with the OSPI model to construct the asymmetric hysteresis ***,a PI-funnel and inverse hysteresis compensation(PIFIHC)cascade control method of the SSDEA is proposed to actualize its tracking control *** performing the inversion operation on the asymmetric hysteresis model,the inverse hysteresis compensation controller(IHCC)is designed to compensate the asymmetric hysteresis property and quadratic input property of the *** addition,a PI-funnel controller is designed to cascade with the IHCC to construct the PIFIHC cascade controller to obtain a good tracking ***,the stability analysis of the PIFIHC cascade control system of the SSDEA is performed to theoretically prove that the tracking error can be controlled within the performance funnel and the steady-state error converges to ***,several practical tracking control experiments of the SSDEA are conducted,and RRMSEs are less than 2.30%for all *** experimental results indicate the effectiveness and feasibility of the proposed PIFIHC cascade control method of the SSDEA.

关键词： Smart soft dielectric elastomer actuator Dynamic modeling Inverse hysteresis compensation controller PI-funnel controller Cascade controller

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Modeling a Single Camera System based on Predicted Bounding Box and Pan-Tilt Angles 13

Modeling a Single Camera System based on Predicted Bounding ...

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13th IEEE International Conference on System engineering and Technology, ICSET 2023

作者： Putri, Adi Novitarini Maria, Fabiola Hidayat, Egi Mahayana, Dimitri Machbub, Carmadi Institut Teknologi Bandung Control and Computer Research Group School of Electrical Engineering and Informatics Bandung Indonesia Institut Teknologi Sains Bandung Bekasi Indonesia

ISBN: (纸本)9798350340891

The control schemes that are related to visual servoing systems are often done through trial and error. Based on the classical control concept, it is necessary to have a mathematical model of the plant before designing the controller. Therefore, this research focuses on producing a mathematical model of the pan-tilt system. We propose the combination of the computer vision method with the classic system identification method, namely N4SID to obtain the dynamics model of a pan-tilt system. In this research, the system identification procedure was successful in producing a state-space model of a visual servoing system using a pan-tilt system and a single camera. This study merged traditional system identification techniques with computer vision to create a discrete-time linear state-space model. When the system order value equals three, the approximation with the minimum MSE value is obtained. © 2023 IEEE.

关键词： Visual servoing

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Distributed generalized Nash equilibrium seeking:event-triggered coding-decoding-based secure communication

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Science China(Information Sciences) 2024年第7期67卷 271-284页

作者： Shaofu YANG Wenying XU Wangli HE Jinde CAO School of Computer Science and Engineering Southeast University School of Mathematics Southeast University Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology

In this paper, we consider the distributed generalized Nash equilibrium(GNE) seeking problem in strongly monotone games. The transmission among players is implemented through a digital communication network with limited bandwidth. For improving communication efficiency or/and security, an event-triggered coding-decoding-based communication is first proposed, where the data(decision variable) are first mapped to a series of finite-level codewords and, only when an event condition is satisfied, then sent to the neighboring agents. Moreover, a distributed communication-efficient GNE seeking algorithm is constructed accordingly,and the overrelaxation scheme is further taken into consideration. Through primal-dual analysis, the proposed algorithm is proven to converge to a variational GNE with fixed step-sizes by recasting it as an inexact forward-backward iteration. Finally, numerical simulations illustrate the benefit of the proposed algorithms in terms of saving communication resources.

关键词： noncooperative games event-triggered communication coding-decoding quantization

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Dynamic Moving Target Defense Strategy Based on Adaptive Port Hopping in SDN

Dynamic Moving Target Defense Strategy Based on Adaptive Por...

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2023 International Conference on computer Network Security and Software engineering, CNSSE 2023

作者： Dang, Fangfang Wu, Kehe Li, Shuai Liu, Han Song, Yifan Zhang, Xiaoliang The State Grid Henan Information & Communication Company China School of Control and Computer Engineering North China Electric Power University Beijing102206 China

ISBN: (数字)9781510666528

ISBN: (纸本)9781510666511

Distributed Denial of Service (DDoS) is a huge hazard to software-defined networks (SDN). Active defense technology is one of the effective measures to ensure the security of SDN. Active defense can increase the difficulty of the attacker's attack and reduce the probability of being attacked successfully. However, the active defense method based on port hopping has the problems of fixed hopping strategy, lack of flexibility and poor security (for example, it is easy for an attacker to grasp the law of server port hopping). Aiming at these problems, we proposed a dynamic moving target defense method based on adaptive port hopping (DMTD-APH). The DMTD-APH combines the characteristics of SDN on the basis of port hopping, and improves the flexibility of active defense by designing strategies such as hopping synchronization, hopping and forwarding, and adaptive hopping. At the same time, the DMTD-APH dynamically detects the network status through the source address entropy value and data flow rate method, and performs time-adaptive or space-adaptive hopping adjustments to ports according to the detection results to build an adaptive active network defense model. The experimental results show that DMTD-APH enhances the anti-attack and service type of the network, and has stronger dynamics and security. © 2023 SPIE.

关键词： Network security

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PCB Defect Detection Method Based on Improved RetinaNet 1

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4th International Conference on Machine Learning for Cyber Security, ML4CS 2022

作者： Xu, Yusheng Cao, Xinrong Hu, Rong Keikhosrokiani, Pantea Li, Zuoyong College of Computer Science and Mathematics Fujian University of Technology Fuzhou350118 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Minjiang University Fuzhou350121 China School of Computer Sciences Universiti Sains Malaysia Penang11800 Malaysia

ISBN: (数字)9783031200991

ISBN: (纸本)9783031200984

In the electronic industry product quality control, PCB defect detection is a crucial part, which has the characteristics of small defect size and high similarity. The existing defect detection methods are still not good enough for detecting small target defects;therefore, the algorithm in this paper proposes an improved algorithm for PCB defect detection based on the RetinaNet model. The ResNet-D residual structure and efficient channel focus module are introduced in the model backbone network to enhance its feature extraction capability and achieve the purpose of improving the detection accuracy. At the same time, the method replaces the original multi-step learning decay strategy with a cosine annealing scheduling learning strategy, which optimizes the training process of the model. Finally, the performance of the method is verified on the publicly available PCB defect dataset from the Open Laboratory of Intelligent Robotics, Peking University. The experimental results show that the algorithm improves the mAP value by 3.2% compared with the original algorithm, while the fastest detection speed reaches 36.9 FPS, which can effectively improve the defect detection performance of PCB. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Defects

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Fed-Autoformer: A Federated Learning-Based Battery Anomaly Detection Approach for Electric Vehicle Charging with Privacy Preservation 30th

Fed-Autoformer: A Federated Learning-Based Battery Anomaly D...

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30th International Conference on Computational and Experimental engineering and Sciences, ICCES 2024

作者： Yan, Xuhan Yang, Shunbo Guo, Yiguo Fu, Yimu Wu, Sixing Li, Jianbin School of Control and Computer Engineering North China Electric Power University Beijing China Economic Technology Research Institute State Grid Shandong Electric Power Company Shandong Jinan City China

ISBN: (纸本)9783031829062

The battery management system ensures the safe operation of electric vehicles (EVs) by detecting abnormalities in the battery energy storage system. However, the extensive and widely dispersed data in EV battery data, along with the presence of users’ private details, raise a demand for effective anomaly detection and privacy protection. To tackle those two challenges, we propose Fed-Autoformer, a distributed anomaly detection architecture based on real vehicle charging data to detect battery anomalies and protect privacy. Thus, we first propose a novel anomaly detection model for EV charging data based on the Autoformer encoder architecture. In particular, it enables an autocorrelation attention mechanism to extract and consider the intrinsic correlation of battery data features (e.g., voltage, current, state of charge (SOC), etc.) for anomaly detection. In addition, we introduce a federated learning architecture to protect the privacy of battery charging data and improve the federated learning training process based on the differences between vehicle batteries in charging stations to ensure detection accuracy while protecting the privacy of EV charging data. Finally, we comprehensively analyze the feasibility and effectiveness of our proposed architecture using a real EV charging dataset. Our proposed federated learning approach for EV battery anomaly detection not only effectively protects privacy through federated learning but also improves the accuracy by 3.2% compared to most mainstream time series anomaly detection models. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Charging stations

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