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检索条件"任意字段=International Conference on Electrical, Control Engineering and Computer Science, ECECS 2015"

共 32631 条记录，以下是1-10 订阅

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international conference on electrical, control engineering and computer science, ececs 2015

International Conference on Electrical, Control Engineering ...

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international conference on electrical, control engineering and computer science, ececs 2015

ISBN: (纸本)9781138029378

The proceedings contain 39 papers. The special focus in this conference is on electrical and control engineering. The topics include: Structural design and motion simulation of a kind of AMT clutch actuator;the change rule of line loss rate based on the marketing data of the stable districts in Jiangsu province;research on the influence of load rate on district line loss rate in different areas of Jiangsu province;fault tolerant synchronization of chaotic system with sampled-data controller;multi-interval schedule of economic dispatch for cogeneration systems;fault location algorithm based on fault region determination for partial coupling four-circuit transmission lines;online identification based stability index in multi-send HVDC power transmission system;the electromagnetic equivalent modeling and simulation analysis of large size metal structure;transmission characteristics of quadruple-ridge square waveguide loaded with right-handed and left-handed materials;a moving target collaborative tracking algorithm based on dynamic fuzzy clustering;research on the bacon key-quality based on physical detection and hyperspectral image of full-scale features;on-line dissolved gas analysis monitor based on laser photoacoustic spectroscopy;the third-order absorbing boundary condition for finite difference modeling of first-order stress-velocity acoustic equation;automatic vertical parking steering control based on fuzzy control and extended kalman filter;fault diagnosis for transmission network based on timing bayesian suspected degree;combining region-based model with geodesic active contour for nature image segmentation using graph cut optimization and research and implementation of automobile ECU bootloader self-update.

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Intelligent control algorithms for industrial automation systems

Intelligent control algorithms for industrial automation sys...

引用

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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Proceedings of 2018 international conference on electrical engineering and computer science, ICECOS 2018

Proceedings of 2018 International Conference on Electrical E...

引用

2018 international conference on electrical engineering and computer science, ICECOS 2018

ISBN: (纸本)9781538657201

The proceedings contain 81 papers. The topics discussed include: breast cancer classification using deep learning;automatic features extraction using autoencoder in intrusion detection system;evaluation of the existence of initial breakdown process for cloud-to-ground flashes;development of computational intelligence-based control system using backpropagation neural network for wheeled robot;the performance evaluation of capacitive antenna with various structures and permittivity values;power generation from wave energy using floating device;non-thermal plasma for removal of NOx from diesel engine vehicle: a simulation study;and acoustic partial discharge detection using low-cost pre-amplified piezoelectric transducer and coated optical fiber sensor.

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A Survey on Application of Computational Technique for Two Area Interconnected Automatic Generation control in Power System Using PSO-PID

A Survey on Application of Computational Technique for Two A...

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2025 IEEE international Students' conference on electrical, Electronics and computer science, SCEECS 2025

作者： Yadav, Arpit Prasad, Lal Bahadur Kumar, Rajan Central Institute of Technology Kokrajhar Department of Electrical Engineering Assam Kokrajhar783370 India Madan Mohan Malaviya University of Technology Department of Electrical Engineering U.P. Gorakhpur273010 India

ISBN: (纸本)9798331529833

In this paper the various computational approaches for automatic generation control (AGC) of power systems is covers, with the goal of improving the automatic voltage regulator (AVR) and load frequency control (LFC) that are utilized with proportional integrative and derivatives (PID) controllers. PID tuning has long been a main area of current study, and PID controllers, sometimes known as proportional integrative and derivatives, are utilized in industry. The techniques being reviewed are conventional methods designed for PID based PSO optimization strategies that fit tuning requirements. Power engineering research and development now places a strong emphasis on optimization due to the growing requirement for energy. This paper deals on the electric power system applications of two area interconnected PSO based PID computational techniques to inspires power sector to uncover fresh information about the ideal rate of energy provision because of its creative application. © 2025 IEEE.

关键词： Three term control systems

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An extensive critique on advances in digital control techniques for smart grid and micro grid operation

An extensive critique on advances in digital control techniq...

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2025 IEEE international Students' conference on electrical, Electronics and computer science, SCEECS 2025

作者： Sarathkumar, D. Bashkaran, K. Manivel, Murugesan Jayakumar, T. Sivakumar, R. Anandhakumar, C. Kongu Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 638 060 India Kongunadu College of Engineering and Technology Department of Biomedical Engineering Tamil Nadu Thottiam621215 India Karpagam Institute of Technology Department of Electrical and Electronics Engineering Tamilnadu Coimbatore641021 India Nandha Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 638052 India V.S.B Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 639111 India Sri Ramakrishna Institute of Technology Department of Electrical and Electronic Engineering Tamil Nadu Coimbatore641010 India

ISBN: (纸本)9798331529833

The integration of digital control techniques within smart grids and microgrids represents a pivotal advancement in the optimization, reliability, and efficiency of modern electrical networks. This paper explores the latest developments in digital control strategies, focusing on their application to the operation of smart grids and microgrids. Key areas of discussion include the implementation of advanced algorithms for real-time monitoring and control, the role of artificial intelligence and machine learning in predictive maintenance and decision-making, and the impact of distributed control systems on grid stability and resilience. Furthermore, the paper examines the challenges and solutions associated with integrating renewable energy sources and energy storage systems into the grid, emphasizing the importance of adaptive and scalable control frameworks. Through a comprehensive review of recent research and case studies, this paper provides insights into the future trends and potential breakthroughs in digital control technologies, highlighting their critical role in the evolution of smart grid and microgrid infrastructures. The findings suggest that continued innovation in this field will significantly enhance the operational capabilities of electrical grids, paving the way for more sustainable and resilient energy systems. © 2025 IEEE.

关键词： Smart power grids

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ICECOS 2019 - 3rd international conference on electrical engineering and computer science, Proceeding

ICECOS 2019 - 3rd International Conference on Electrical Eng...

引用

3rd international conference on electrical engineering and computer science, ICECOS 2019

ISBN: (纸本)9781728147147

The proceedings contain 84 papers. The topics discussed include: narrow bipolar events within reversal distance and associated UHF-VHF emissions;application of interleaved bidirectional converter on pond aerators with electricity sources from solar panels;design analysis on tele-operatic supernumerary robotic limb;simulation analysis of formation control design of leader-follower robot using fuzzy logic controller;stress detection application based on heart rate variability (HRV) and K-nearest neighbor (KNN);hydrogen gas production using water electrolyzer as hydrogen power;real-time monitoring of power quality for web based electrical power panel using LabVIEW;detecting sensor coordination in a calibrated lightning locating system;and low cost transient earth voltage probe for partial discharge detection.

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Proceedings - 2023 international conference on Networking, electrical engineering, computer science, and Technology, IConNECT 2023

Proceedings - 2023 International Conference on Networking, E...

引用

2023 international conference on Networking, electrical engineering, computer science, and Technology, IConNECT 2023

ISBN: (纸本)9798350331172

The proceedings contain 46 papers. The topics discussed include: backpropagation algorithm to detect the color of the leaf to determine the need for nutrients;systematic literature review of the impact of violent acts in video game on a person’s behavior;heat conversion design using Peltier thermoelectrics with greenhouse effect heating system and mobile nitrogen cooler following the sun position;survey for evaluating the improvement of user's mandarin proficiency as a second language by using Duolingo's mobile app;application of augmented reality for the introduction of the Lampung script;texture classification of paddy soil using convolutional neural network;water quality control and monitoring systems in VANAME shrimp ponds using the fuzzy method;and implementation data mining with the naive bayes classifier algorithm in determining the type of stroke.

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Decentralized and Distributed control Strategies for Microgrids: A Review of Key Techniques and Applications

Decentralized and Distributed Control Strategies for Microgr...

引用

2025 IEEE international Students' conference on electrical, Electronics and computer science, SCEECS 2025

作者： Sarathkumar, D. Maheswari, P. Manivel, Murugesan Jayakumar, T. Sivakumar, R. Parrthipan, B.K. Kongu Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 638060 India Excel 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 Nandha Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 638052 India V.S.B Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 639111 India Kamaraj College of Engineering and Technology Department of Mechanical Engineering Tamil Nadu Vellakulam625701 India

ISBN: (纸本)9798331529833

Microgrids have emerged as a key solution for enhancing the flexibility, reliability, and sustainability of power systems. As the penetration of renewable energy sources and distributed generation increases, effective control strategies are essential for ensuring stable and efficient microgrid operation. This paper presents a comprehensive review of decentralized and distributed control strategies for microgrids, highlighting their significance in enabling scalability, robustness, and resilience. Key techniques, such as primary, secondary, and tertiary control layers, are discussed, with a focus on the transition from centralized to decentralized paradigms. The review explores the application of advanced algorithms like multi-agent systems (MAS), consensus-based control, and artificial intelligence (AI) for optimizing power sharing, voltage regulation, frequency stability, and energy management in islanded and grid-connected modes. Additionally, the paper analyzes the challenges and opportunities in implementing decentralized and distributed control, with real-world case studies and simulation-based insights to demonstrate their effectiveness in various microgrid configurations. Finally, potential future research directions are suggested to address emerging trends such as peer-to-peer energy trading, blockchain-based energy systems, and the integration of electric vehicles (EVs) into microgrid networks. © 2025 IEEE.

关键词： Decentralized control

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Design and Analysis of a Smart Irrigation control System

Design and Analysis of a Smart Irrigation Control System

引用

2025 IEEE international Students' conference on electrical, Electronics and computer science, SCEECS 2025

作者： Jada, Chakravarthi Varshitha, Nandaluru Rajiv Gandhi University of Knowledge Technologies Electrical and Electronics Engineering Nuzvid India

ISBN: (纸本)9798331529833

The development of a smart irrigation system is critical in addressing water conservation and enhancing agri-cultural practices. The design and implementation of a control system aimed at regulating water delivery to plants based on critical factors such as soil moisture, weather conditions and specific plant requirements is presented in this paper. The system assimilates various control methodologies, including PID control, root locus analysis, frequency response analysis, state space representation, and digital control techniques. For modeling, simulation and testing of the system, ensuring a comprehensive evaluation of its performance, Simulink is used. The proposed smart irrigation system demonstrates substantial improvements in water use efficiency and plant health by dynamically adjusting irrigation schedules in response to real-time environmental data. To further promote this technology in sustainable agriculture, future enhancements and real-world applications are discussed. © 2025 IEEE.

关键词： Soil moisture

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Optimization and control of Photovoltaic Power Generation System Connected to the Utility Grid

Optimization and Control of Photovoltaic Power Generation Sy...

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2025 IEEE international Students' conference on electrical, Electronics and computer science, SCEECS 2025

作者： Rajender, Jatoth Swathi, Yarnagula Rath, Bibhuti Bhusan Illuru, Tejaswani Srinivasulu, Gumpu Dubey, Manisha Maulana Azad National Institute of Technology Department of Electrical Engineering M.P Bhopal India Department of Electrical Engineering Visakhapatnam India Aditya Institute of Technology and Management Department of Electrical Engineering A.P Srikakulam India

ISBN: (纸本)9798331529833

This research dives into the design of a solar energy system that can generate electricity and supply it for both household appliances and the power grid. To maximize the power output from the solar panels, the system implements a special control technique called Maximum Power Point Tracking (MPPT). The MPPT technique utilizes an algorithm called Incremental Conductance to achieve this. Before the inverter stage, a boost converter is incorporated to elevate the voltage from the solar panels further. The inverter itself plays a critical role in seamlessly integrating solar energy into the power grid. It employs a complex synchronization method known as synchronous reference frame control. To thoroughly assess the system's performance under various operating conditions, the researchers modelled and simulated the entire system using MATLAB/Simulink software. This software allows them to test the system's behavior and fine-tune its operation for optimal efficiency and grid integration © 2025 IEEE.

关键词： MATLAB

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