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2025 IEEE international Students' conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Sarathkumar, D. Anil, A.R. Sivadasan, J. Jayakumar, T. Manivel, Murugesan Anandhakumar, C. Engineering Kongu Engineering College Department of Electrical and Electronics Tamil Nadu 638 060 India Sree Buddha College of Engineering Pattoor Department of Computer Science &engineering Kerala Alappuzha India Psr Engineering College Department of Electronics and Communication Engineering Tamil Nadu Sivakasi626140 India Nandha Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 638052 India Karpagam Institute of Technology Department of Electrical and Electronics Engineering Tamilnadu Coimbatore641021 India Sri Ramakrishna Institute of Technology Department of Electrical and Electronic Engineering Tamil Nadu Coimbatore641010 India

ISBN: (纸本)9798331529833

Industrial automation has become a cornerstone of modern manufacturing, enhancing efficiency, reliability, and scalability. The integration of intelligent control algorithms, such as fuzzy logic, neural networks, genetic algorithms, and model predictive control, has revolutionized traditional automation systems, enabling more adaptive, efficient, and robust operations. This paper explores the application and impact of these intelligent control techniques in industrial settings. It highlights how machine learning algorithms can predict equipment failures, optimize processes, and enhance decision-making in real-time. Case studies are presented to illustrate the benefits and challenges of deploying these algorithms across various automated systems, such as robotic assembly lines, process control in chemical plants, and smart warehousing. Furthermore, the paper discusses the integration of these algorithms with industrial IoT (IIoT) platforms, facilitating seamless communication and data exchange between machines and control systems. The research also addresses the challenges of implementing intelligent control, such as computational complexity, security concerns, and the need for real-time processing. Finally, this study evaluates future trends, emphasizing the potential of combining artificial intelligence and deep learning techniques with industrial automation for a more adaptive and autonomous manufacturing ecosystem. © 2025 IEEE.

关键词： Genetic algorithms

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Cloud Based LoRaWAN Enabled Water Tank automation Framework 4

Cloud Based LoRaWAN Enabled Water Tank Automation Framework

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4th international conference on Evolutionary computing and Mobile Sustainable Networks, ICECMSN 2024

作者： Abubeker, K.M. Nuthalapati, Aravind Kerala Kanjirappally686 518 India Data and AI Solutions Specialist Microsoft Charlotte United States

Internet of Things (IoT), sensor technologies, and low-power long-range wide area network (LoRaWAN) protocols are crucial to reducing water wastage during storage and distribution. This letter proposes a LoRa-based automatic water pump for overhead tanks in domestic and public water services. This research uses an ESP32 LoRa IoT platform for gateway and wide area network communication and the JSN-SR04T sensor for water level monitoring. This IoT framework is integrated with mobile applications and a web server for the real-time monitoring and control of water pumps. In fully automated mode, the LoRa gateway coordinated the control of the water pump depending on the pre-configured water level during installation. In semi-automated mode, users can control the water pump with the mobile application or web server. The developed framework is tested in different environments and verified the efficacy and performance of LoRa in terms of energy consumption, RSSI, SNR and distance of communication from the host node to the LoRa gateway. The research also highlighted the reduction in water consumption, and this framework potentially addresses the sustainable development goals 6 (SDG-6). © 2025 The Authors. Published by Elsevier B.V.

关键词： Water tanks

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Delay-Tolerant for Stablity Second-Order Stochastic Systems with Multiplicative Noises 26

Delay-Tolerant for Stablity Second-Order Stochastic Systems ...

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26th international conference on Industrial Technology, ICIT 2025

作者： Yu, Dongyuan Zong, Xiaofeng School of Automation China University of Geosciences Wuhan430074 China

ISBN: (纸本)9798331521950

In this paper, a second-order stochastic multiagents system is investigated, a consensus control strategy is proposed, and a stable delay tolerance range for distributed system is established. The control strategy consider the multiplicative noises associated with the measurement information between the agents as well as the communication delay. First, the communication information between the agents with multiplicative noises and their internal topology are analyzed, and a consensus controller is designed. Then by Lyapunov direction method and Ito formula, we get the consensus condition of multi-intelligent system. And based on this condition, we study the delay tolerance problem of this system and find a stable delay bound to realize almost sure and mean square exponential stability within the delay tolerance. © 2025 IEEE.

关键词： Distributed parameter control systems

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Investigation of the Use of Fixed-Time Consistency Protocol in Faulty Multi-Agent Systems under Event-Triggered Mechanism 24

Investigation of the Use of Fixed-Time Consistency Protocol ...

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

作者： Jia, Chao Yang, Zhiwen The School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China

ISBN: (纸本)9798400710681

For the practical fixed-time average consensus problem in a first-order nonlinear faulty MAS with disturbances under switching topologies, on the basis of a dynamic event-triggered system, a fixed-time consensus method is suggested. This consensus protocol enables the MAS to achieve consensus more rapidly while conserving more resources. The fixed-time consensus control algorithm’s convergence time, which may be adjusted by selecting the right controller parameters, is independent of the initial state, in contrast to finite-time consensus control algorithms. Additionally, the protocol allows for the online generation of new communication topologies in the event of system failures. Lastly, simulation experiments are used to confirm the algorithm’s viability and efficacy. © 2024 Copyright held by the owner/author(s).

关键词： Topology

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AI-Driven Test automation for Big Data Systems in Cloud Environments 1

AI-Driven Test Automation for Big Data Systems in Cloud Envi...

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1st international conference on Advances in Computer Science, Electrical, Electronics, and communication Technologies, CE2CT 2025

作者： Gupta, Ankit Kumar Govindankutty, Sreeprasad Nandyala, Avinash Reddy Maria Thason, Justin Rajakumar Pippal, Sanjeev Gupta, Gopal Kumar Uttar Pradesh Technical University Uttar Pradesh Lucknow India Rochester Institute of Technology RochesterNY14623 United States Texas State University San MarcosTX United States Maniapl University Sikkim Gangtok737102 India Greater Noida201306 India Nagpur Campus Pune440008 India

ISBN: (纸本)9798331518578

AI-based Test automation for Cloud-Based Big Advanced Data Systems this method used AI and other new data science methods such as big data, cloud computing, etc. Current testing methodologies do not suit the environments of modern big data systems in a cloud-based environment. AI based test automation approaches: Automated test scenario preparation, examination of test events to identify defects and generation of testing issues. Big data systems, on the other hand, can periodically scan for maximum performance with an all-AI approach, carry out A/B testing, and fine-tune performance. This is particularly important for cloud environments when the architecture of the system and data processing continually changes at a high rate. Additionally, AI in test automation is capable of detecting anomalies and predicting possible system breakdown, providing early warning of issues to ensure mitigation and thereby avoiding costly downtime. This way various scenarios and data sets can be tested and covered to ensure that the best results are covered. © 2025 IEEE.

关键词： Data centers

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Stability of stochastic T-S fuzzy systems via dynamic event-triggered control

Stability of stochastic T-S fuzzy systems via dynamic event-...

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2024 international conference on automation, Electrical control Systems and Equipment, AECSE 2024

作者： Zhang, Yali Liu, Linna Pan, Chenglong Zhou, Shuaibo School of Automation and Electrical Engineering Zhongyuan University of Technology Henan Zhengzhou450007 China

This paper aims to examine the practical input-to-state stability (p-ISS) of stochastic T-S fuzzy systems (T-SFS) with parameter uncertainty by employing dynamic event-triggered control (DETC). In order to reduce the frequency of triggering events and the number of messages transmitted, we propose a DETC scheme, which introduces the waiting time to avoid Zeno behaviour and further saves communication resources. Additionally, within the DETC approach, LMI-based criteria are formulated to guarantee p-ISS for nonlinear stochastic T-SFS. © Published under licence by IOP Publishing Ltd.

关键词： Stochastic systems

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Plug and Play Detector Design for DC Microgrids With Unknown-Inputs-Based FDI Attack

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IEEE Transactions on Smart Grid 2025年第3期16卷 2052-2064页

作者： Wu, Zhihua Peng, Chen Tian, Engang Zhang, Yajian Shanghai University Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and Automation Shanghai200444 China University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering Shanghai200093 China

DC microgrids, due to their deep integration of control, computing, communication technologies, and physical equipment, are susceptible to cyber-attacks. Consequently, this paper is dedicated to the development of a novel attack-defense framework for generalized DC microgrids. Firstly, an unknown-inputs-based false data injection (FDI) attack strategy is studied from the adversary’s perspective, unlike traditional stealthy attacks requiring non-minimum phase zeros or unstable poles, which conceals the attack signal as false unknown inputs (FUI) to maliciously disrupt current sharing and voltage balancing. Secondly, a comprehensive analysis of the stealthiness and destructiveness of FUI attack is provided, and a dual-observer-based detector is well constructed to detect the FUI attack and isolate the compromised distributed generation units. Then, structured Lyapunov matrix and semidefinite programming are ingeniously employed to solve the distributed observer gains simultaneously. Moreover, plug and play (PnP) performance is also analyzed to ensure the scalability of proposed FUI attack detector. Finally, the destructiveness and stealthiness of proposed FUI attack, as well as the effectiveness of designed detection scheme are demonstrated through simulations using MATLAB/SimPowerSystems Toolbox. © 2010-2012 IEEE.

关键词： MATLAB

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Development of IoT Multilingual Voice controlled Home automation System 5th

Development of IoT Multilingual Voice Controlled Home Automa...

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5th EAI international conference on Cognitive computing and Cyber Physical Systems, IC4S 2024

作者： Venkatesh, C. Sivayamini, L. Saikumar, D. Neelima, B. Obulesu, P. Pavan Kumar Reddy, S. Department of Electronics and Communication Engineering Annamacharya University Andhra Pradesh Rajampet India

ISBN: (纸本)9783031770807

The concept aims to overcome a common issue with voice-controlled smart home automation systems: language barriers. Existing solutions mostly support English, highlighting the necessity for a multilingual solution. The proposed Internet of Things (IoT) home automation system includes voice commands in languages such as Hindi. Home automation's growing popularity, driven by its ease of use and improved quality of life, emphasizes the significance of accessible and inclusive language assistance. The concept revolves around an IoT based home automation system that communicates via Wi-Fi, with a Node MCU acting as the core server. Users can use voice commands to manage household appliances by talking with a web-based interface over the internet. The solution reduces the need for human involvement by developing control firmware and automating it with the Node MCU IoT platform. Various components communicate in a number of ways, improving user control through the Node MCU interface and enabling remote access via smart phones. Cloud-based server connectivity eliminates the need for physical distance. This low-cost system is straightforward to set up and features an easy-to-use Android UI. It meets the demands of the elderly and disabled while also improving overall living circumstances by incorporating smart home concepts. The project "Development of an IoT Multilingual Voice-controlled Home automation System" combines IoT technology with multilingual voice recognition to deliver a more efficient and inclusive home automation experience. Voice commands in a variety of languages can be used to control lighting, heating, security, and entertainment systems, providing a customizable and user-friendly solution. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025.

关键词： Firmware

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Design of campus security management and control based on ZigBee 4

Design of campus security management and control based on Zi...

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4th international conference on Network communication and Information Security, ICNCIS 2024

作者： Liu, Yulong Wang, Mingjun Ma, Xiaopan School of Automation an Information Engineering Xi’an University of Technology Shaanxi Xi’an710048 China Xi'an Key Laboratory of Wireless Optical Communication and Network Research Shaanxi Xi’an710048 China School of Physics and Telecommunications Engineering Shanxi University of Technology Shaanxi Hanzhong723001 China China Mobile Tietong Co. Ltd. Yulin Branch Shaanxi Yulin719000 China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

In view of the great significance of the Internet of Things technology to the construction of security management and control in chemical parks, this paper designs a network transmission technology of security management and control equipment based on ZigBee, which realizes the data transmission and control of various monitoring terminals such as cameras and sensors. At the same time, the security control of the park is designed in detail in three parts: basic security management, monitoring and early warning of major hazard sources and video monitoring. The results show that the security management and control system of the park effectively solves the existing problems of security risks in the park from three aspects: basic security management, monitoring and early warning of major hazard sources and video monitoring, improves the efficiency and level of supervision of the park management committee, and provides factual basis and construction experience for risk management, early warning and decision-making of other chemical parks in China. © 2025 SPIE.

关键词： Decision making

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Peer-to-Peer Integrated Smart Gardening automation Using Cloud Technology with Real-Time Environmental Monitoring and Logging via Blynk Cloud Dashboard

Peer-to-Peer Integrated Smart Gardening Automation Using Clo...

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2025 international conference on Intelligent control, computing and communications, IC3 2025

作者： Malik, Praveen Kumar Bharti, Veena Misra, Neeti Yamsani, Nagendar Mahajan, Anshul Singh, Parulpreet School of Electronics and Electrical Engineering Lovely Professional University Punjab Phagwara India Raj Kumar Goel Institute of Technology Ghaziabad India Uttaranchal Institute of Management Uttaranchal University Department of Management Uttarakhand Dehradun India School of Computer Science and Artificial Intelligence Sr University Warangal India

ISBN: (纸本)9798331527495

The authors of this article discuss the holistic method of automation of gardening operations based on IoT technology that allows real time environmental factors to be monitored, decisions to be made based on data, and those decisions to be executed at a distance. The objective of the system is to minimize the amount of water used, to improve the state of the plants, and ultimately to allow the users of the system to control their gardens from anywhere in the world with as little effort as possible. The concept makes use of the continuously monitored network of sensors to observe important parameters like soil moisture, temperature, humidity, light intensity and rainfall among others. After being received, this information is up to date and the system will use this data to manage irrigation and lighting systems for the plants efficiently. Also, the support of this cloudbased platform is essential today as it allows the users to look up the parameters in their garden remotely and go for manual intervention when required. All the advantages of cloud technology provide remote control of the system but also all the historical data sets which are important trends in future decision making. © 2025 IEEE.

关键词： Green computing

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