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Enhanced Neural Network Model Predictive control based on TLBO algorithm: Applied to speed control of PMSM

Enhanced Neural Network Model Predictive control based on TL...

引用

2024 international conference on advances in Electrical and communication Technologies, ICAECOT 2024

作者： Stiti, Chafea Aouaichia, Abdelhadi Benrabah, Mohamed Kara, Kamel Blida1 University Laboratoire des systèmes électriques et télécommande Blida Algeria Usthb University Laboratoire de robotique Parallélisme et systemes embarqués Alger Algeria

ISBN: (纸本)9798350353754

This paper proposes an enhanced neural network model predictive control based on the teaching learning-based optimization algorithm, for the speed control of the permanent magnet synchronous motor. The objectives of this strategy are firstly, to solve the online computational problem and the nonconvex solution of model predictive control, using neural network identification and online metaheuristic optimization, secondly, to improve computational efficiency, real-time applicability and tracking accuracy of the conventional neural network model predictive control based on the teaching learning-based optimization algorithm using the proposed contribution of adding a sequence of reduction weighting coefficients to its cost function, over the prediction horizon. To assess the efficiency of the proposed control algorithm, a comparative study with the conventional neural network model predictive controller based on the teaching learning algorithm, is done. The mean square error, mean absolute error, root mean square error and computing time of the speed response of the PMSM are calculated and analyzed for the both *** obtained results demonstrate that the proposed control algorithm gives better control performance than the other controller. © 2024 IEEE.

关键词： Predictive control systems

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IoT based Intelligent Parking System for Smart Cities 8

IoT based Intelligent Parking System for Smart Cities

引用

8th IEEE international conference on computing, communication, control and Automation, ICCUBEA 2024

作者： Narsingoju, Bhavana Jain, Rajashree Khurana, Bali Shankar Symbiosis Institute of Computer Studies and Research Symbiosis International University Pune India Pimpri Chinchwad College of Engineering Mca Department Pune India

ISBN: (纸本)9798350391770

In the era of smart cities with Internet of Things every time there is a need of innovative and sustainable solutions for parking and smart cities management. The solutions which are developed are not sufficient enough to derive the best and sustainable outcomes. In densely populated areas in metro cities with high compactness, due to the insufficiency of parking space, many vehicles navigate searching for available parking spaces, requiring time to locate a suitable parking spot. The search for parking leads to various challenges like consumption of time, fuel consumption, traffic congestion, air pollution, and stress on drivers. The implementation of an intelligent parking system gives solutions to optimize the time, reduce fuel consumption and carbon emission and most importantly keep drivers free from *** main objective of this paper is to perform comprehensive study and present the analysis of Intelligent parking systems on the basis of networking technologies, various technical and computational approaches, user interfaces and services provided. This study will provide the clear idea of a design for sustainable intelligent parking system in various environments having its advantages, disadvantages, and research gap. Future scope of this work is to provide the opportunity to researchers, policy makers and other stakeholders to design and implement intelligent parking system in metro cities. © 2024 IEEE.

关键词： Sustainable city

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Routing Scalability in Named Data networking 4

Routing Scalability in Named Data Networking

引用

4th international conference on advances in computing, communication control and networking, ICAC3N 2022

作者： Deepa, S. Nivetha, S. Thulasi Lakshmi, K. Selvan, Emil G S R Ramkumar, M.P. Thiagarajar College of Engineering Department of Computer Science and Engineering Madurai India

ISBN: (纸本)9781665474368

Named Data network consists of three data structures for forwarding the incoming Interest packets. Whenever the interest packet arrives, it has to search in the pending interest table and the content store. When a large amount of interest packet arrives, the time required to search the matching content in the pending Interest table can be increased. And also, as the size of Content Store is limited, it will be difficult to satisfy the incoming interest packets' needs. So the interest packets in the content store have to be replaced. In this paper, Optimal Content Store with tree based approach is proposed and is compared with Optimal Content Store without tree based approach. The comparison shows that packet drop rate and delay is comparatively reduced in Optimal Content store with tree based approach. © 2022 IEEE.

关键词： component formatting insert (key words) style styling

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Algorithm for compiling an examination timetabling at a higher education institutions 14

Algorithm for compiling an examination timetabling at a high...

引用

14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Rashidova, Fatme Rashidov, Aldeniz Technical University of Gabrovo Department of Automation Information and Control Systems Gabrovo Bulgaria

ISBN: (纸本)9798350335095

Developing an automated examination timetabling (ET) in a higher education institution is a complex multi-criteria task. To automate this process, it is first necessary to create an algorithm for compiling the ET. When compiling a ET in a higher education institution, the organization of studies in the institution itself must be considered. In this paper, a flowchart of an algorithm for compiling an automated ET in a higher education institution is presented. Automating the process of ET compilation, based on this algorithm, will lead to a higher quality of training. If all the requirements and constraints of ET compilation are met, then one can also argue for satisfaction with ET compilation. In addition to this, finding optimal solutions in composing ET in the future can lead to a higher quality of composing ET, an increase in the quality of learning and to a higher satisfaction of the main agents (students and teachers). © 2023 IEEE.

关键词： Automation

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Toxic Chat Detection using Deep Learning 14

Toxic Chat Detection using Deep Learning

引用

14th international conference on advances in computing, control, and Telecommunication Technologies, ACT 2023

作者： Kaulage, Anant More, Aniket Binnar, Nilesh Narnaware, Paridhi Narote, Atharv Vishwakarma Institute of Technology Department of Computer Engineering Pune India

The value of remaining respectful in an online discussion cannot be emphasised. "Wilful and repetitive harm perpetrated through the medium of electronic messaging" is characterised as cyberbullying. It includes delivering derogatory, threatening, and/or sexually explicit messages and photos to targets using websites, blogs, instant messaging, chat rooms, email, cell phones, websites, and personal online profiles. As a result, identifying and removing harmful communication from public forums is a critical task that human moderators are incapable of performing. Body shaming may now be seen on every social media site. People are willing to go to any extent to humiliate others. This type of issue affects our society's females more significantly. We may make use of the model. © Grenze Scientific Society, 2023.

关键词： Social networking (online)

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Enhancing Distribution System Efficiency Through Vector Space control of Power Inverters for Improved Power Factor 5

Enhancing Distribution System Efficiency Through Vector Spac...

引用

5th IEEE international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2025

作者： Mullo, Adrián Jaramillo, Manuel Carrion, Diego Universidad Politécnica Salesiana Electrical Engineering Department Quito Ecuador

ISBN: (纸本)9798350356236

Regarding stability and efficiency, DG, characterized by decentralized energy production on a small scale, presents unique challenges and opportunities. This study investigates the integration of dynamic loads into the test system, validating the effective operation of the implemented systems and controls while emphasizing improvements in power *** factor (PF) is a vital indicator of efficiency and is essential for optimizing electrical loads. This paper proposes utilizing space vector pulse width modulation (SVPWM) control strategies in power inverters to enhance the PF. The research implements distributed generation (DG) and dynamic reactive power compensation control to improve system conditions further. The study presents theoretical foundations, experimental results, and comparative analyses focused on PF enhancement. Regarding stability and efficiency, DG, characterized by decentralized energy production on a small scale, presents unique challenges and opportunities. This study investigates the integration of dynamic loads into the test system, validating the effective operation of the implemented systems and controls while emphasizing improvements in power factor. © 2025 IEEE.

关键词： Vector spaces

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Sustainable Manufacturing in Industry 4.0: Enhancing Safety and Rapid Response in Industrial control Systems with Smart Edge IoT Devices 15

Sustainable Manufacturing in Industry 4.0: Enhancing Safety ...

引用

15th international conference on computing communication and networking Technologies, ICCCNT 2024

作者： Mathew, Midhya Kakani, Divyam Somaiya Vidyavihar University K J Somaiya College of Engineering Electronics Engineering Department Mumbai400077 India

ISBN: (纸本)9798350370249

In this research we delve into the dynamic synergy between sustainable energy and Industry 4.0 within the field of 'Energy and Sustainable Engineering.' It centers on integrating an emergency email generation system into a robust digitalization framework. The study prioritizes hands-on training, emphasizing practical applications that blend sustainable energy practices with the transformative principles of Industry 4.0. By focusing primarily on the intersection of sustainable energy, the project underscores the crucial role of digitization. This seamless integration aligns with the principles of automation, smart technologies, and the evolving landscape of digitization within industries committed to sustainable energy practices. The primary objective in this experiment is to integrate Industrial IoT into the realm of smart manufacturing, effectively incorporating our system into the framework of Industry 4.0, while prioritizing energy sustainability. Through this integration, our experimental results demonstrate that in the event of an emergency condition, instead of the automation system persisting under faulty conditions, an email notification is immediately sent to the operator, facilitated by IoT. This approach not only ensures swift response to critical situations but also contributes to energy conservation and overall sustainability. This initiative significantly contributes to ongoing discussions surrounding sustainable energy, digital transformation, and Industry 4.0, marking a significant step forward in promoting conscientious industrial practices for the future. © 2024 IEEE.

关键词： Digitization Industrial Internet of Things (IIoT) Industry 4.0 Sustainable energy

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Efficient Data Transmission using PSO Algorithm in Wireless Sensor Networks 15

Efficient Data Transmission using PSO Algorithm in Wireless ...

引用

15th international conference on advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Kalaiselvi, K. Thilak, K.Deepa Devi, K.Lalitha Kumaresan, K. Malathi, M. Faculty of Engineering and technology Department of Networking and communications SRM Institute of science and technology Kattankulathur Tamilnadu Chennai India Department of Computer science and Engineering Sathyabama Institute of Science and Technology India Department of CSE KSR College of Engineering Tiruchengode Tamilnadu Namakkal India Tamilnadu Namakkal India

ISBN: (纸本)9798331300579

A Wireless Sensor Network is made up of a large number of small, low-power sensor nodes that are randomly or manually distributed across an uncontrolled target ***, the WSNs' main constraint is the sensor nodes' restricted power *** a result, energy saving at sensor nodes is the most difficult barrier for WSNs' long-term *** and low-energy routing are two well-known optimization tasks that have received a lot of attention in the quest to extend the life of wireless sensor networks (WSNs).In a periodic data gathering application, the Particle Swarm Optimization (PSO) technique is employed to overcome this *** monitor the environment on a regular basis and send data to the base station (BS), which analyses the data and draws conclusions about the field activities.A cluster is used to send the data to the base station.A cluster head receives data from sensor nodes and transmits it to the cluster head, which combines the information and sends it to the base *** packet delivery ratios and throughput have both been *** a result, total energy consumption is reduced. © Grenze Scientific Society, 2024.

关键词： Particle swarm optimization (PSO)

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Real-Time Threat Detection in Critical Infrastructure with Machine Learning and Industrial control System Data 3

Real-Time Threat Detection in Critical Infrastructure with M...

引用

3rd international conference on Smart Generation computing, communication and networking, SMART GENCON 2023

作者： Kumar, Atul Sharma, Ishu Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350319125

The present study introduces a framework for the detection of threats in critical infrastructure in real-time. This framework leverages the capabilities of machine learning and utilizes data from Industrial control Systems (ICS). In order to evaluate the accuracy of threat identification, we conducted a comparative analysis of three well-known machine learning models: Logistic Regression, Random Forest, and Knearest Neighbors. Our study specifically emphasized the importance of precision as a key parameter in this assessment. The results of our study indicate that Logistic Regression has higher performance compared to the other models, emerging as the most effective method for effectively identifying possible hazards in real-time ICS data. This study highlights the effectiveness of Logistic Regression in strengthening security protocols within vital infrastructure, presenting a hopeful resolution to protect against rising risks and weaknesses. © 2023 IEEE.

关键词： Cybersecurity K-nearest Neighbors Logistic Regression Malicious Server Attack Random Forest Security Server Hack Techniques Threat Detection

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Smart Water Management System: Automated Water Billing with Detection and control of Water Leakage 15

Smart Water Management System: Automated Water Billing with ...

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15th international conference on advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Ninawe, Swapnil S. Pavithra, G. Manjunath, T.C. Samyama Gunjal, G.H. Department of Electronics & Communication Engineering Dayananda Sagar College of Engineering Karnataka Bangalore India Department of Computer Science & Engineering University Visvesvaraya College of Engineering Bangalore University Bangalore India

ISBN: (纸本)9798331300579

Water leakage is an important component of water losses. In addition to raising consumer awareness of their water use, metering is also an important way to identify and locate water leakage. A leakage detection program can be highly proactive, helping water utilities automate water system, detecting problem areas earlier, giving customer tools to monitor water use, providing more accurate rates and reducing demand. The objective is to overcome the disadvantages of using meter technology and make the billing troubleshooting process faster along with reducing the wastage of water. Message and Wi-Fi(IOT) technology automatically collect consumption, diagnosis, and collect status data from energy meter and advancement save utility provides the expense of periodic trips to each physical location to read a meter. Another advantage is billing can be based on near real time consumption rather than one estimates based or previous or predicted consumption. © Grenze Scientific Society, 2024.

关键词： Information leakage

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