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Knowledge-Defined Internet of Things Architecture for Cloud-Edge Collaborative Industrial Monitoring 24

Knowledge-Defined Internet of Things Architecture for Cloud-...

引用

2nd international conference on Frontiers of intelligent Manufacturing and automation, CFIMA 2024

作者： Zhou, Hongyu Xing, Fangyuan Tong, Fei Wang, Mufeng Zhang, Yan Yang, Shuaifeng Southeast University Nanjing China China Industrial Control Systems Cyber Emergency Response Team Beijing China

ISBN: (纸本)9798400710681

The Industrial Internet of Things (IIoT) has become a crucial technology driving the transformation of manufacturing towards intelligence. Traditional industrial networks primarily focus on data collection, whereas emerging IIoT emphasizes intelligent management and optimized control utilizing advanced technologies such as big data and artificial intelligence. With the more complex application scenarios, sole reliance on cloud computing fails to meet requirements for low latency and high security, thus leading to a trend towards edge-cloud collaborative computing. Knowledge-Defined Networking (KDN) introduces a knowledge plane above the control and data planes, which utilizes machine learning and deep learning methods to extract and analyze data and can guide the control plane in updating and optimizing network management and control decisions. This architecture enables the system to understand domain knowledge, supports knowledge-based reasoning decisions, and facilitates higher-level intelligent applications. This paper proposes a Knowledge-Defined Edge-Cloud Collaborative IoT architecture tailored for industrial monitoring scenarios. Therein, the edge is responsible for initial real-time data processing, while the cloud handles large-scale data storage and complex analytics. Knowledge definition are introduced into the entire framework and enables a comprehensive understanding of equipment status through historical data analysis and real-time feedback, which facilitates predictive issue identification and optimization of production plans. The enabling technologies that can implement the functions of the knowledge-based cloud, knowledge-based edge, knowledge-based end, and interfaces are summarized, which are expected to provide guidance for future IIoT. © 2024 Copyright held by the owner/author(s).

关键词： Cloud computing architecture

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Design and Experimental of Human Tracking control System Based on Infrared Sensor 7

Design and Experimental of Human Tracking Control System Bas...

引用

7th ieee Information technology, Networking, Electronic and automation control conference, ITNEC 2024

作者： Xiaoming, Cui Yulong, Geng Zhiwei, Kou Xinyuan, Cao Yanjun, Qiao College of Electric Power Inner Mongolia University of Technology Hohhot China Inner Mongolia Key Laboratory of Electromechanical Control Hohhot China Engineering Research Center of Large Energy Storage Technology Ministry of Education Hohhot China Northern Branch Beijing Energy International Holding Co.Ltd Hohhot010051 China

ISBN: (纸本)9798350370782

With the development of intelligent monitoring and automation technology, human tracking control systems are increasingly widely used in fields such as security monitoring, smart homes, and robot navigation. This paper proposes a design of a human tracking control system based on pyroelectric infrared (PIR) sensors and has conducted experimental verification. The system utilizes the high sensitivity of PIR sensors to infrared radiation, and achieves accurate tracking of human movement through signal processing and algorithm optimization. The experimental results show that the proposed system can effectively track human forms in different environments, and has high practicality and reliability. © 2024 ieee.

关键词： Infrared radiation

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Resilience-driven Hardening Strategies for cyber-physical systems considering Energy-control Dependence 3

Resilience-driven Hardening Strategies for Cyber-physical Sy...

引用

3rd international conference on Energy and Electrical Power systems (ICEEPS)

作者： Sun, Nuoling Wu, Guilian Chen, Hao Qin, Chao Lu, Jiani State Grid Fujian Elect Power Co Ltd Econ & Technol Res Inst Fuzhou 350011 Fujian Peoples R China Tianjin Univ Key Lab Smart Grid Minist Educ Tianjin 300072 Peoples R China

ISBN: (纸本)9798350375145;9798350375138

Line hardening plays an important role in improving the resilience of distribution cyber-physical systems (CPS). However, the formulation of existing hardening schemes ignores the risk of multiple faults caused by cross-domain disasters, which may reduce the applicability of hardening strategies. Therefore, a hardening model which considers the interdependence of a distribution CPS is proposed. First, the control-energy coupling of cyber nodes and distribution components is modeled. Second, based on virtual flow theory, an availability judgment model of cyber nodes is constructed. Then, with the aim of minimizing the line hardening cost and the load shedding cost, a two-stage hardening model combining pre-disaster hardening and post-disaster recovery is established. Finally, the effectiveness of proposed method is verified on the modified ieee 33-node system.

关键词： line hardening coupling characteristics extreme disasters cyber-physical system

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Research on Ascent Phase Guidance technology Based on Uncertainty Parameter Online Identification

Research on Ascent Phase Guidance Technology Based on Uncert...

引用

2024 ieee international conference on control Science and systems Engineering, ICCSSE 2024

作者： Yichong, Shao Jiayuan, Ding Chunzhen, Sun Mengmeng, Cui College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China China Academy of Launch Vehicle Technology Beijing China

ISBN: (纸本)9798331517199

In response to the challenges of numerous constraints in the ascent phase of composite-powered carriers, narrow flight corridors, and poor adaptability of guidance to deviations in aerodynamic coefficients, atmospheric density, and thrust, this paper proposes an ascent guidance method based on online identification of uncertain parameters. An online identification model based on acceleration information is established to identify the magnitude of parameter deviations. Trajectory profiles matching the magnitude of parameter deviations are selected online from a trajectory database to ensure that the guided vehicle reaches the starting window of the next mission within the constraints under deviation conditions. Simulation results demonstrate that this method enables rapid online selection of a trajectory adapted to the current composite uncertainties, thereby enhancing the robustness of ascent phase guidance schemes for composite-powered carriers. © 2024 ieee.

关键词： Atmospheric density

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Exploring Machine Learning Algorithms for Robust cyber Threat Detection and Classification: A Comprehensive Evaluation

Exploring Machine Learning Algorithms for Robust Cyber Threa...

引用

2024 international conference on intelligent systems for cybersecurity, ISCS 2024

作者： Ravikumar, C. Naresh, Burri Prasanna, P. Laxmi Chander, Nenavath Goud, Ediga Amarnath Prasad, P Raghavendar Chaitanya Bharathi Institute of Technology Department of Ai and Ds Hyderabad India Cvr College of Engineering Department of CSE-CS Hyderabad India Tkr College of Engineering and Technology Department of Cse Hyderabad India Hyderabad India Sreenidhi Institute of Science and Technology Department of It Hyderabad India Mallareddy Engineering College Department of It Hyderabad India

ISBN: (纸本)9798350375237

In response to the escalating frequency and complexity of cyber threats, the imperative need to enhance cybersecurity measures is evident. This study explores the potential of machine learning (ML) algorithms in advancing threat detection and classification by automating the identification of security incidents. The abstract presents a thorough assessment of various ML algorithms, including decision trees, support vector machines, and neural networks, for their efficacy in detecting and categorizing cyber threats. The evaluation encompasses a diverse dataset featuring different cyber-attack scenarios and incorporates multiple features such as network traffic patterns, system logs, and user behavior. Performance metrics, such as training accuracy and testing accuracy, are employed to assess the effectiveness of each algorithm. Furthermore, the study investigates the impact of feature selection techniques and model optimization strategies on algorithm performance. The results underscore the capability of ML algorithms to accurately identify and categorize cyber threats, providing valuable insights into their strengths and limitations. This research contributes to the field of cybersecurity by facilitating the development of practical and robust ML-based solutions, ultimately reinforcing cyber defence mechanisms against evolving threats. © 2024 ieee.

关键词： cybersecurity

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Home automation with Solar Base Hybrid Inverter 1

Home Automation with Solar Base Hybrid Inverter

引用

1st ieee international conference on Smart Power control and Renewable Energy, ICSPCRE 2024

作者： Sethy, Rajesh Kumar Singh, Shashank Kumar Bansod, Saurabh Alhat, Pawan G. National Institute of Electronics and Information Technology Dept. Electronics Aurangabad India

ISBN: (纸本)9798350377002

In the burgeoning era of smart technology, the integration of renewable energy sources and home automation systems has garnered significant attention for its potential to enhance energy efficiency and user convenience. This paper presents the design and implementation of a cutting-edge Home automation System with a Solar-Based Hybrid Inverter, leveraging the powerful capabilities of the Portenta C33 controller. The system seamlessly transitions between solar and grid power sources, optimizing energy utilization while ensuring uninterrupted operation. Equipped with a myriad of sensors including LPG, temperature, humidity, and ultrasonic, coupled with intelligent actuators such as relays and motors, the system offers comprehensive environmental monitoring and control. Integration with the Blynk platform facilitates remote access and control, empowering users with real-time insights and management of their home environment. Through meticulous hardware selection, circuit design, and software development, this project embodies innovation and sustainability, paving the way for smarter, greener homes in the IoT landscape. The research showcases the practical implementation of renewable energy integration in home automation, highlighting its effectiveness in optimizing energy usage and enhancing environmental monitoring capabilities. © 2024 ieee.

关键词： Ultrasonic sensors

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Disturbance Observer-Based H∞control for Flexible Spacecraft systems Under Deception Attacks 3

Disturbance Observer-Based H∞Control for Flexible Spacecraf...

引用

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

作者： Chen, Boming Wang, Zipeng Beijing University of Technology Faculty of Information Technology Beijing Laboratory of Smart Environmental Protection Beijing Institute of Artificial Intelligence Beijing China

ISBN: (纸本)9798350360813

A disturbance observer-based H∞ composite control method under disturbances and deception attacks is addressed in this paper. Firstly, the control model is constructed. Secondly, a disturbance observer-based H∞ composite controller via linear matrix inequality (LMI) is developed based on a Lyapunov function. Finally, we present simulations to verify the validity of design method. © 2023 ieee.

关键词： Linear matrix inequalities

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Robust Adaptive Consensus control of Multi - Agent systems with Input Saturation 6

Robust Adaptive Consensus Control of Multi - Agent Systems w...

引用

6th international conference on Robotics, control and automation Engineering, RCAE 2023

作者： Lu, Weifan He, Xingting Jiao, Dexin Zou, An-Min College of Engineering Shantou University China Key Laboratory of Intelligent Manufacturing Technology Ministry of Education Shantou China

ISBN: (纸本)9798350315301

This paper focuses on consensus control of multi-agent systems with input saturation. Based on the input satu-ration affine model, a robust adaptive consensus controller is proposed for multi-agent systems by combining the Nussbaum gain function, the dynamic surface control, and the leader-state observer. In addition, the designed adaptive control scheme is characterized by fewer adaptive laws, which reduces the controller computation and saves computation time. The stability of the closed-loop system is proved theoretically. The effectiveness of the proposed controller is verified by a simulation experiment result. © 2023 ieee.

关键词： Multi agent systems

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Comprehensive Review of Electric Vehicle Charging Infrastructure Vulnerabilities and Defense Against Malicious Attacks 2

Comprehensive Review of Electric Vehicle Charging Infrastruc...

引用

2nd ieee international conference on IoT, Communication and automation technology, ICICAT 2024

作者： Anjana, Rahul Kumar, Vimal Galgotias University School of Computing Science UP Greater Noida India

ISBN: (纸本)9798350368109

This paper presents a survey on vulnerabilities and defense mechanisms in Electric Vehicle (EV) charging infrastructure that can be exploited by cyber attackers for malicious things. When accompanied by the surge of EV adoption, the implementation of chargers and V2G communication networks with smart grids, brings new cybersecurity issues. The paper points out that potential threats, such as Distributed Denial of Service (DDoS) attacks, the injection of malware and charge manipulations endanger the charging process security leading to economic losses and power grid instability. The report also: Investigates the role of new technologies including blockchain and artificial intelligence (AI) in securing the EV ecosystem. Blockchain ensures that the transactions and the communication are secure, whereas AI systems help in detecting cyber threats by analyzing traffic and anomalies;also mitigating these adversities. By the integration of AI and blockchain, EV infrastructure can attain increased levels of security, reliability, and scalability. This review highlights the importance of new defense methods in order to protect the future of a sustainable form of transportation. © 2024 ieee.

关键词： cyber attacks

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SSL-RGB2IR: Semi-supervised RGB-to-IR Image-to-Image Translation for Enhancing Visual Task Training in Semantic Segmentation and Object Detection

SSL-RGB2IR: Semi-supervised RGB-to-IR Image-to-Image Transla...

引用

2024 international conference on intelligent Robots and systems

作者： Sikdar, Aniruddh Saadiyean, Qiranul Anand, Prahlad Sundaram, Suresh Indian Inst Sci Robert Bosch Ctr Cyber Phys Syst Bangalore Karnataka India Indian Inst Sci Dept Aerosp Engn Bangalore Karnataka India Vellore Inst Technol Sch Comp Sci & Engn Vellore Tamil Nadu India

ISBN: (纸本)9798350377712;9798350377705

The scarcity of annotated infrared (IR) image datasets limits deep learning networks from achieving performances comparable to those achieved with RGB data. To address this, we introduce a novel semi-supervised RGB-to-IR Image-to-Image Translation model (SSL-RGB2IR) that generates synthetic IR data from RGB images. Our model effectively preserves the IR characteristics in the generated images from both synthetic and real-world data. Compared to existing image-to-image translation techniques, training models on this generated IR data significantly improves performance in downstream tasks like segmentation and detection. Notably, in sim-to-real transfer, the segmentation model trained on SSL-RGB2IR generated IR images outperforms baselines and other Image-to-Image (I2I) models. Furthermore, for real-world applications utilizing EO/IR fusion images, this approach solves the well-known challenge of co-registering EO and IR images, which often have inherent misalignment's due to differing sensor characteristics. Our code is available at https://***/prahlad-anand/sslrgb2irhttps://***/prahlad-anand/ssl-rgb2ir.

关键词： Semantic Segmentation

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