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International Renewable Energy Congress

作者： Asma Alfergani Farhat M. Shaltami Khalid Ateea Alfaitor Ashraf Khalil Faisal Mohamed Electrical and Electronics Engineering Department University of Benghazi Benghazi Libya College of Electrical and Electronics Technology – Benghazi Benghazi Libya Department of Computer Networks and Communications Faculty of Information Technology University of Benghazi Benghazi Libya DTU Engineering Technology Technical University of Denmark Kongens Lyngby Authority of Natural Science Research and Technology Tripoli Libya

ISBN: (数字)9798331516772

ISBN: (纸本)9798331516789

In this paper, a model for the master-slave DC Microgrid over a fiber optic link is proposed. The delay margin is calculated according to Lyapunov-Krasovskii functional using the LMI toolbox in Matlab with the binary iteration algorithm. The optical fiber link is implemented using optisystem simulator. The optical fiber link is set to transmit the digitalized reference current from master controller to the slave controller. The link tested at 100Mbps, 1Gbps and 2.5Gbps data rate values and several optical fiber lengths and wavelength of 1550nm and 1400nm. The results show that the performance of the link is sufficient at received power more than -30dBm for all data rate values at 1550nm. While at 1400nm, the attenuation rate is very high. Therefore, the link must be 10km to achieve acceptable performance. This wavelength is used in this simulation to avoid the C band and O band, which used for telecommunication purposes.

关键词： Optical fibers Renewable energy sources Sensitivity Delay effects Microgrids Receivers Main-secondary Stability analysis Delays MATLAB

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Novel Size-Reduced Coaxial Cavity Filters For 5G Networks

Novel Size-Reduced Coaxial Cavity Filters For 5G Networks

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IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Tran Thi Thu Huong An Tri Bao Trong-Hieu Le Vu Van Yem Faculty of Electronics and Computer Engineering University of Economics - Technology for Industries Hanoi Vietnam 11 Physics 2 Hanoi - Amsterdam High School for The Gifted Hanoi Vietnam Faculty of Electronics and Telecommunications Electric Power University Hanoi Vietnam School of Electrical and Electronic Engineering Hanoi University of Science and Technology Hanoi Vietnam

ISBN: (数字)9798350351019

ISBN: (纸本)9798350351026

This paper presents a novel coaxial cavity filter using in 5G NR Base Stations. The resonant cylinder utilizes stepped impedance technology combined with folding edge bending and rectangular zigzag arm structure on the top to improve the electrical coupling mainline. Therefore, dimensions of cavity filter are reduced while maintaining the filter performance parameters. This proposed resonator is verified in the design of one filter integrated in C-Band 5G station with ten orders and four zero points. The dimensions of the filter are only 56.81 mm x 15.56 mm x 9.5 mm (length x width x height). The simulation results show the passband of 304MHz, the return loss of 15.6dB, the insertion loss of 0.1dB. These specifications are suitable for applying in Band C 5G network.

关键词： Couplings 5G mobile communication C-band Simulation Resonator filters Resonant frequency Insertion loss Cavity resonators Passband Impedance

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Design, Analysis and Fabrication of Dual Band Microstrip Patch Antenna for (L2) Band GPS and WiFi Applications

Design, Analysis and Fabrication of Dual Band Microstrip Pat...

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2022 International Conference for Advancement in technology, ICONAT 2022

作者： Oo, Wai Mar Tun, Hla Myo Nway, Tint May Pradhan, Devasis Sahu, Prasanna Kumar Naing, Zaw Min Yangon Technological University Department of Electronic Engineering Yangon Myanmar Yangon Technological University Faculty of Electrical and Computer Engineering Yangon Myanmar Acharya Institute of Technology Department of Electronics and Communication Engineering Bengaluru India National Institute of Technology Department of Electrical Engineering Odisha Rourkela India Ministry of Science and Technology Department of Research and Innovation Yangon Myanmar

ISBN: (纸本)9781665425773

Dual-frequency antennas are popular for many applications in communication systems. This work proposes a dual-band microstrip patch antenna design based on two-layer stacked patch for GPS and WiFi purposes. The targeted antenna is created to maneuver at the frequency range of 1.227GHz GPS L2 band (1.215GHz to 1.239GHz) and the 2.4GHz WiFi band frequency (2.4GHz to 2.48GHz). The antenna is fabricated on substrate of FR4 which dielectric constant 4.4 and the substrate material's height is 1.6mm. The created two-layer stacked patch antenna is compared with a conformist single patch antenna and analyzed the parameters of performance specifications for return loss (RL), bandwidth, VSWR, gain and pattern of radiation. It is recognized that the performance of the fabricated antenna improves when compared to the single-layer conventional antenna. © 2022 IEEE.

关键词： Global positioning system

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Mathematical Modelling of Dengue Transmission with Adaptive Fuzzy Backstepping Control and RK-5 Numerical Method

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International Journal of Applied and Computational Mathematics 2025年第3期11卷 1-29页

作者： Vijayalakshmi, G.M. Ariyanatchi, M. Akgül, Ali Department of Mathematics Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology Tamilnadu Avadi 600062 India Department of Electronics and Communication Engineering Saveetha School of Engineering SIMATS Tamilnadu Chennai India Department of Mathematics Art and Science Faculty Siirt University Siirt 56100 Turkey Department of Computer Engineering Biruni University Istanbul Topkapı 34010 Turkey Department of Mathematics Mathematics Research Center Near East University Near East Boulevard Mersin 10 Nicosia 99138 Turkey

The aim of this research is to create an adaptive nonlinear fuzzy backstepping robust controller for a dengue disease outbreak model. We use an SIR-SI compartmental mathematical model to analyse the diffusion mechanism of dengue disease. A nonlinear adaptive controller regulates prevention strategies for susceptible human beings and enhances hospitalization-based treatment for the infected people. Besides, the spraying of chemical insecticides will reduce the infected mosquito population. Adaptation laws are used to derive fuzzy system parameters, enhancing the system's adaptability. Then we construct a suitable Lyapunov function, which guarantees convergence, robustness, and stability for a closed-loop system. Finally, we plot all the system's control variables graphically and calculate their numerical approximations using the Runge–Kutta technique of fifth order. These simulations demonstrate that the proposed adaptive controllers can effectively control the dengue disease and ensure the stability of the system. Hence, we conclude that adaptive backstepping control measures can protect more people from dengue infection. © The Author(s), under exclusive licence to Springer Nature India Private Limited 2025.

关键词： Adaptive back stepping Dengue model Fuzzy system Lyapunov function Runge–Kutta method

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Energy Storage System with Dynamic Voltage Restorer Integrated for Wind Energy System 1

Energy Storage System with Dynamic Voltage Restorer Integrat...

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1st International Conference on Advances in Computational Science and engineering, ICACSE 2020

作者： Pattanaik, Balachandra Hussain, Syed Masood Karthikeyan, V. Giftson Samuel, G. Department of Electrical and Computer Engineering Faculty of Engineering and Technology Bule Hora University Bule Hora Ethiopia Department of Electrical and Computer Engineering Faculty of Engineering and Technology Bule Hora University Bule Hora Ethiopia Department of Electrical and Electronics Engineering AMET Deemed to Be University Chennai India Department of Electrical and Electronics Engineering Sir Issac Newton College of Engineering and Technology Nagapattinam India

The permanent magnet induction generator (PMSG) based wind system that integrates with dynamic voltage restorer (DVR) and the energy storage system (ESS) for backup power purpose is explained in this paper. The output power transmission of the wind energy generation is interfaced with the dynamic voltage restorer in series. The energy storage system and the dc-link capacitor are parallel to the PMSG based wind system. The proposed system is to control the fluctuations in wind power and compensate the disturbed grid voltages. The bidirectional converter controls the power flow in both directions as the power flow from the source to battery and battery to the voltage source inverter (VSI) compensates the grid voltage disturbances through the voltage injection performance and transformer. The DVR-based energy storage system results for the wind energy conversion system are validated using in MATLAB/Simulink. © Published under licence by IOP Publishing Ltd.

关键词： Wind power

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Traffic Surveillance System Through Capsule Gated Graph Attention Network for IoT/IIoT Cyberthreat Detection and Mitigation 2

Traffic Surveillance System Through Capsule Gated Graph Atte...

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2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Mahesh Prasanna, K. Marotka, Devashree Muralidharan, J. Adhvaryu, Rachit Vani, V. Maranan, Ramya Vivekananda College of Engineering and Technology Department of Electronics and Communication Engineering Puttur India G H Raisoni College of Engineering and Management Department of Electronics and Telecommunication Engineering Maharashtra Nagpur India KPR Institute of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Coimbatore India Parul institute of Engineering and Technology Parul University Computer science and Engineering Faculty of Engineering and Technology Gujarat India Bangalore Institute of Technology Department of Information Science and Engineering Karnataka Bangalore India Saveetha School of Engineering SIMATS Department of Research and Innovation Tamil Nadu Chennai India

ISBN: (纸本)9798331505745

Internet of Things and Industrial Internet of Things have seen rapid adoption and have transformed industries through smart automation, constant monitoring and better connected systems. The progressive inclusion of such solutions has contributed to the growth in exposure to complex and changing global threats. The primary challenge lies in accurately detecting and classifying cyber threats from high-volume, unstructured network traffic data in real-time. Existing methods are not very accurate and cannot be easily scaled due to constraints in computational resources and the nature of IIoT network systems. This paper introduces Traffic Surveillance System through Capsule Gated Graph Attention Network for IoT/IIoT Cyberthreat Detection and Mitigation (Cyber-CapG). The system uses raw traffic data from Edge-IIoTset and uses the Tunable Transformer for feature extraction. The extracted features are passed through the Capsule Gated Graph Attention Network to model the traffic as a graph based on communication hierarchy and being selective to essential traffic patterns. Furthermore, weights and loss functions are tuned based on the Progressive Crested Porcupine Optimization so as to achieve maximum optimization. The proposed system exhibits outstanding performance with 99.21 % detection rate, 99.07% precision, 99.15% recall, 99.18% F1 measure, and it provides an effective way of identifying threats like DDoS, SQL Injection, and Ransomware. In conclusion, Cyber-CapG provides a solid solution for traffic surveillance in IoT/IIoT, providing the high detection and prevention of various cyber threats, as well as optimizing the cybersecurity and reliability of industrial networks. © 2025 IEEE.

关键词： Industrial internet of things (IIoT)

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Implementation of Cloud Computing and Internet of Things (IoT) by Performance Evaluation

Implementation of Cloud Computing and Internet of Things (Io...

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International Electrical engineering Congress (iEECON)

作者： Jiran Sithiyopasakul Tuanjai Archevapanich Saran Sithiyopasakul Attasit Lasakul Boonchana Purahong Chawalit Benjangkaprasert School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Department of Electronics and Communication Engineering Faculty of Engineering and Architecture Rajamangala University of Technology Suvarnabhumi Nonthaburi Thailand Department of Computer Engineering School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (数字)9798350383591

ISBN: (纸本)9798350383607

The integration of cloud computing and the Internet of Things (IoT) holds transformative potential across diverse industries. Performance assessment is essential to gauge the quality and efficiency of cloud computing and IoT systems. This paper presents a comprehensive performance evaluation of cloud computing and IoT systems, focusing on three major platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Experimental results encompass various scenarios, including normal operation, heavy load conditions, IoT applications, and scalability testing. The outcomes reveal distinct performance metrics such as response time, throughput, latency, and reliability for each cloud platform.

关键词： Performance evaluation Cloud computing Web services System performance Throughput Internet of Things Time factors

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Enhancing Remote Sensing Image Classification Using Arithmetic Optimization Algorithm with Deep Learning Approach

Enhancing Remote Sensing Image Classification Using Arithmet...

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International Conference on Advances in Information technology (ICAIT)

作者： R. Shanthi Balasubramaniam D R. Venkatesh C. Sankari V. Manimaran Shaik Hedayath Basha Department of computer applications Faculty of science and humanities SRM Institute of science and Technology Chengalpattu Tamilnadu Department of Biomedical Engineering VelTech Rangarajan Dr Sagunthala R & D Institute of Science and Technology Chennai Computer Science and Engineering Ramco Institute of Technology Rajapalayam Electrical and Electronics Engineering Chennai Institute of Technology Department of Computer Science and Engineering Kongu Engineering College Erode Tamilnadu Department of ECE R.M.K. College of Engineering and Technology

ISBN: (数字)9798350383867

ISBN: (纸本)9798350383874

The classification of Remote sensing image (RSI)is a vital task in field of geospatial analysis where aerial or satellite images are classified into predefined classes or land cover sorts. It plays a main part in diverse fields namely agriculture, disaster management, environmental surveillance, urban planning, and natural resource management. With the machine learning (ML) and deep learning (DL) models, these images examined and categorized depending on their spatial, spectral and temporal features. The exact detection of remote sensing images simplifies decision-making procedures, aiding governments, environmental agencies, and companies to make knowledgeable decisions and policies. It authorizes experts to observe variations in lands, discover land use trends, and evaluate environmental effects and making it a vital device in addressing present difficult challenges connected to weather change, urban development, and natural resource protection. This study presents an enhanced remote sensing image classification utilizing arithmetic optimization algorithm with DL (ERSC-AODL) Approach. The ERSC-AODL technique concentrates on the accurate recognition of the RSI into dissimilar classes. It begins with the use of an EfficientNet feature extractor, which derives complex spectral and spatial data, and acts as a base of proper representation of the images. Moreover, the recognition process takes place by a bidirectional long short-term memory (BiLSTM). Finally, the hyperparameter optimization procedure is performed by the ERSC-AODL technique. To portray the proficient classification outputs of the ERSC-AODL technique, a range of experiments were utilized. The investigational outputs stated that the ERSC-AODL technique attains improved accomplishment over other models.

关键词： Natural resources Recurrent neural networks Feature extraction Spatial databases Classification algorithms Data mining Remote sensing Optimization Long short term memory Image classification

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Optimization of Quality Power Distribution System using Artificial Intelligence

Optimization of Quality Power Distribution System using Arti...

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International Conference on Smart Systems and Inventive technology (ICSSIT)

作者： Satya Prakash Awasthi Sanjay Singh Urmila Pilania Manoj Kumar A.S. Sindhu A.S. Sarika Faculty of Computer Engineering Poornima University Ramchandraoura Jaipur India Dept. of Computer Science & Technology Manav Rachna University Faridabad India Department of Electronics and Communication Engineering Rajas Institute of Technology Tamil Nadu India Department of Electronics and Communication Engineering Amrita College of Engineering and Technology Tamil Nadu India

A maximum power point tracker is used in this study to determine incremental conductance (INC) (MPPT). Artificial Intelligence (AD based analysis and simulation of a solar photovoltaic module and associated electric circuit is presented, along with an examination of the effects of various environmental conditions on the behavior of the PV module. To fully appreciate the operating parameters of a PV module, basic PV cell attributes are addressed. A block diagram model of a PV module was made in Simulink and used to illustrate the curves. The results of simulations using a solar module demonstrate that the suggested method is quick and precise. This model is effectively used utilizing steady conductance in light of most maximum power point tracking methodologies for testing the behavior of the suggested system and forestall this output in the simulation via MATLAB. Controller can be implemented using a number of different techniques and algorithms. Power Point is liked here and is likewise reasonable for business purposes due to the minimal oscillations while establishing the Maximum.

关键词： Maximum power point trackers Photovoltaic systems Software packages Power quality Mathematical models Behavioral sciences Steady-state

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Design and Analysis of High-Speed Communication Systems for 5G and Beyond

Design and Analysis of High-Speed Communication Systems for ...

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International Conference on Science technology engineering and Management (ICONSTEM)

作者： R. Jegadeesan Dava Srinivas M. Deivakani Sunita Joshi P M Dinesh M Jogendra Kumar Department of Computer Science and Engineering Jyothishmathi Institute of Technology and Science Karimnagar Telangana India Department of Electronics and Communication Engineering PSNA College of Engineering and Technology Dindigul Tamil Nadu Department of Faculty of Computer Applications Manav Rachna International Institute of Research and Studies Faridabad Haryana India Department of Electronics and Communication Engineering Sona College of Technology Salem Tamil Nadu India Department of Computer Science and Engineering KoneruLakshmaiah Education Foundation Vaddeswaram Andhra Pradesh India

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365108

Fifth Era Innovation (5G) is the late portable network in wireless communications. This article presents an assessment of the advancements in portable communications. The different issues that arise at each stage are reported in our guide to state-of-the-art wearable networks. The fifth era (5G) of portable networks offers everybody admittance to high-speed web at whatever point they need, any place they are. Since to its inventive qualities, such connecting individuals and controlling contraptions, machines, and items, 5G is somewhat unique. Various levels of execution and capacities presented by the 5G versatile innovation will make new client encounters and connection new organizations. It is pivotal to comprehend where the business can utilize5G's benefits. This work examines and models a microstrip fix antenna working at 29 GHz for impending 5G communication innovation. The result of this reproduction is better than past work that was finished. It can then be used as a significant source of strength for 5G wireless technologies. The ongoing logic diary demonstrates that the proposed antenna performs better than those currently in use. This antenna may therefore be adequate for his 5G wireless connection architecture.

关键词： Wireless communication Technological innovation 5G mobile communication Millimeter wave technology Microstrip antennas Organizations Microstrip

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