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检索条件"任意字段=4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014"

共 553 条记录，以下是21-30 订阅

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A Use of Fuzzy Logic Based Decision Making tree for Developing Smart Healthcare system 4

A Use of Fuzzy Logic Based Decision Making tree for Developi...

引用

4th ieee international conference on Advance computing and Innovative Technologies in engineering, ICACITE 2024

作者： Gandhimathi, G. Rajaram, Gnanajeyaraman Gandhi, Vaibhav C. Putta, Prakash Abed, Riyad E. Meassar, Al-Hussain ECESrm Trp Engineering College Trichy India Saveetha Institute of Medical and Technical Sciences Simats Saveetha School of Engineering Department of Computer Science and Engineering India Madhuben & Bhanubhai Patel Institute of Technology Cvm University Computer Engineering Department India Mohan Babu University Department of Mechanical Engineering andhra pradesh Tirupati India National University of Science and Technology College of Health and Medical Technology Dhi qar64001 Iraq Al-farahid University Baghdad Iraq

ISBN: (纸本)9798350360165

in order to improve the flexibility and adaptation of the omnidirectional mobile robot in dynamic situations, this work provides a hierarchical control strategy with an emphasis on point stability. It is believed that in order for robotic systems to function well during the sense-plan-act cycle, they must be flexible and adaptable. the recommended control structure makes use of a behavior fuzzy decision tree (bt) that integrates high-level decision-making with continuous execution monitoring. Moreover, it incorporates non-linear model predictive control (nmpc) for point stabilization of the mobile robotic healthcare system. the robot's architecture enables it to operate in many configurations inside the workspace, all the while adhering to input and state constraints, including obstacle avoidance and motor restrictions. the efficacy was confirmed in realistic simulation scenarios and with an industrial omni-directional mobile robot operating in an actual environment, executing point stabilization and obstacle avoidance. © 2024 ieee.

关键词： Predictive control systems

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An Edge control Based Communication Network Architecture in New Power systems 4

An Edge Control Based Communication Network Architecture in ...

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4th international conference on Electronic Information engineering and Computer Technology, EIECT 2024

作者： Wang, Qi Song, Yanbin Ding, Huixia Wang, Wanqiao Lin, Zhifeng Guan, Luyao China Electric Power Research Institute Co. Ltd. Beijing China

ISBN: (纸本)9798331528850

With the rapid advancement of new power systems, the scale of various control and data services for substations is continuously expanding, which brings significant pressure on communication. Particularly, the existing electric communication network has a limited ability to integrate sensing, communication, control, and computation, which reduces resource utilization efficiency. therefore, in this paper, we propose a communication network architecture designed for high-frequency data collection in the new power system. Firstly, we design an edge control based hierarchical communication architecture, considering various networking technologies, terminals and services. Additionally, to improve data collection efficiency, we discuss some key methods such as resource reuse and wired-wireless parallel transmission methods for the electrical privacy network. © 2024 ieee.

关键词： edge computing network architecture Substation areas communication

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Solar-Powered VSI Speed control of PMSM with Performance Analysis & controller Optimization 4

Solar-Powered VSI Speed Control of PMSM with Performance Ana...

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4th international conference on Power, control and computing Technologies, ICPC2T 2025

作者： Sagar, G. Jawahar Mahto, Tarkeshwar Tewari, Somesh Vinayak Adari, Jyoshila Vinathi Nagabushanam, Mounika Dept. Electrical and Electronics Engineering SRM University AP Mangalgiri India

ISBN: (纸本)9798331530402

this study examines the integration of permanent magnet synchronous motors (PMSM) with renewable energy sources, focusing on solar photovoltaic (SPV) arrays to improve efficiency and sustainability in electric vehicle (EV) applications. PMSM, renowned for its high efficiency, silent operation, and precise control, is managed using a proportional-integral (PI) controller to handle variable load conditions, including fluctuations in torque and current. By fine-tuning the PI controller's gains, the desired motor speed is achieved efficiently. A DC-DC Buck-Boost converter serves as an intermediary power conditioning unit, optimizing energy extraction from the SPV array and enhancing system efficiency. this setup ensures that PMSM meets the power and operational demands of EVs. Additionally, a voltage source inverter (VSI) facilitates electronic commutation of the PMSM, providing accurate control using fundamental frequency pulses. the system is modelled and simulated in MATLAB/Simulink, demonstrating its reliability under diverse load conditions. the findings underscore the potential of this approach in promoting renewable energy integration in EVs, paving the way for cleaner and more sustainable transportation solutions. © 2025 ieee.

关键词： Buck-Boost converter

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OpenCV-enabled Gesture control for Smart Devices: A User-Centric Approach 4

OpenCV-enabled Gesture Control for Smart Devices: A User-Cen...

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4th international conference on Intelligent Technologies, CONIT 2024

作者： Devi, Priyanka Chadha, Shivani Bhardwaz, Saumyamani Chandigarh University Department of Computer Science and Engineering Mohali India University Institute of Computing Chandigarh University Mohali India

ISBN: (纸本)9798350349900

this research delves into the realm of human-computer-interaction, presenting an innovative user-centric approach togesture control for smart devices. Integrating the powerful OpenCV (Open-Source Computer Vision Library), our system demonstrates enhanced accuracy, responsiveness, and user satisfaction in real-world scenarios. the study includes a comprehensive evaluation of the system's performance, addressing identified limitations, proposing improvement strategies, and exploring potential applications in emerging technologies. By analyzing a diverse dataset and employing a Convolutional Neural Network (CNN), our OpenCV-enabled gesture control system showcases its adaptability to varied gestures and environmental conditions. Future directions include addressing limitations, expanding application scopes, and integrating with emerging technologies, positioning this research at the forefront of advancements in gesture recognition technology. © 2024 ieee.

关键词： Gesture recognition

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IOT Devices and control systems Working Together to Improve Security 4

IOT Devices and Control Systems Working Together to Improve ...

引用

4th ieee international conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Singh, Rupinder Bajaj, Jaspreet Singh Bawa, Simerjeet Singh Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Chitkara University Chitkara Business School Punjab India

ISBN: (纸本)9798331518981

the Internet of things (IoT) facilitates seamless integration and interoperability among various networks, devices, technologies, and products by placing emphasis on control schemas. End-users require uninterrupted and precise connectivity, irrespective of the integration node (e.g., tablet, laptop, television, smartphone, or other internet-connected device). Intelligent IoT devices have the capability to function as flexible connections with ever-changing configurations, enabling timely reactions and potentially worldwide *** response to the urgent requirement for secure real-time control operations, this research paper introduces a methodology that integrates intelligent Internet of things (IoT) system functionalities with power system interfaces. the proposed methodology integrates computing, cryptography, signal/image processing, and communication networks to facilitate authentication and authorization operations via gateways and terminals. this results in a real-time performance environment that is not only more secure but also more adaptable and robust in comparison to conventional approaches. Moreover, the researchers delineate a framework for the Internet of things that is applicable to power system inputs in administrative, industrial, transportation, and comprehensive monitoring environments. © 2024 ieee.

关键词： Authentication

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Design and Implementation of Power system Simulation Platform Based on Cloud computing 4

Design and Implementation of Power System Simulation Platfor...

引用

4th international conference on Energy, Power and Electrical engineering, EPEE 2024

作者： Lu, Yuanhong Guo, Haiping Zhao, Yanjun Huang, Libin Hu, Binjiang Luo, Hui Zhang, Jingyue National Energy Power Grid Technology R&d Centre Guangzhou China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798331518066

Power system simulation involves simulating the operating states and dynamic processes of power systems using mathematical models and computer technology to analyze and predict system behavior. Traditional simulation methods struggle to meet the needs of large-scale, complex power grids due to significant demands for computational resources. Cloud computing, with its high scalability, resource pooling, and on-demand services, is ideally suited for the extensive simulation calculations required by modern power systems. Despite its advantages, the application of cloud computing in power system simulation poses challenges related to data security and privacy, particularly in collaborative simulations involving multiple power entities. this paper presents the design and implementation of a cloud computing-based power system simulation platform. the proposed platform leverages the distributed computing capabilities of cloud computing, integrates federated learning to ensure data privacy, and utilizes advanced power system simulation technologies. this approach significantly enhances simulation efficiency and accuracy while providing data security and privacy protection. the platform offers reliable decision support for power system planning, operation, and control. © 2024 ieee.

关键词： Cloud platforms

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Magnetic Levitation control Using Deep Reinforcement Learning and Prioritized Experience Replay with Action Noise Variations 4

Magnetic Levitation Control Using Deep Reinforcement Learnin...

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4th international conference on Power, control and computing Technologies, ICPC2T 2025

作者： Pare, Gopala Shil, Manas Pillai, G.N. Dey, Arnab Department of Electrical Engineering Indian Institute of Technology Roorkee India Mehta Family School of Data Science and Artificial Intelligence Indian Institute of Technology Roorkee India

ISBN: (纸本)9798331530402

In recent years, Reinforcement Learning (RL) has emerged as a promising approach for addressing control problems in complex, nonlinear environments. the ability of RL algorithms to autonomously learn optimal control policies without requiring an explicit system model makes them particularly suited for real-time applications in fields like robotics and industrial automation. this paper investigates the application of RL algorithms for controlling a magnetic levitation (maglev) system, which presents significant challenges due to its nonlinear dynamics. the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm and the integration of Prioritized Experience Replay (PER) are employed to enhance learning efficiency. the impact of varying action noise (random perturbations added to actions) for exploration and system performance is explored;results demonstrate that TD3 with PER achieves superior stability, faster convergence, and reduced rise and settling times without overshoot. these findings emphasize the importance of tailored exploration strategies in optimizing control policies for complex environments, highlighting the potential of advanced RL techniques for real-time control applications. © 2025 ieee.

关键词： Reinforcement learning

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Modern control Methods to Boost Microgrid's Performance 4

Modern Control Methods to Boost Microgrid's Performance

引用

4th ieee international conference on Advance computing and Innovative Technologies in engineering, ICACITE 2024

作者： Rajput, Isha Verma, Jyoti Ahuja, Hemant Manav Rachna International Institute of Research and Studies Department of Electronics and Communication Engineering Haryana Faridabad India Abes Engineering College Uttar Pradesh Ghaziabad India Ajay Kumar Garg Engineering College Department of Electrical and Electronics Engineering Uttar Pradesh Ghaziabad India

ISBN: (纸本)9798350360165

Because the microgrid (MG) differs from traditional generators in its dynamic properties,, the greater penetration of RES-based MGs into the power system may have an impact on system stability. therefore, it becomes crucial to evaluate the recently established dynamic stability issues and manage the power system's operation in the context of growing microgrid penetration. this paper describes a microgrid system aided by renewable energy that uses an extreme learning machine (ELM)-based PID controller and superconducting magnetic energy system (SMES) storage. Microgrid contains two energy sources wind energy and PV solar panel. the energy generated by them is supplied to load and extra energy is stored in SMES. the PID controller is used in a feedback system to control the flow of energy. this research investigates in detail how the penetration of microgrids based on renewable energy affects the Stability and management of the multi-machine, multi-area system dynamically in a range of operational scenarios. A brief wind power prediction model based on ELM is developed. For this system, a new robust ELM-controlled PID-based power system stabilizer (PSS) is proposed. In spite of all the uncertainty, the system is guaranteed to stay stable by the ELM control technique. the ELM technique is used in order to optimize the controller's parameters, and the resulting controller beats both regular PID and fractional order PID (FoPID) controllers in terms of performance. the controller's ability to attenuate oscillations at low frequencies in a system with varying microgrid penetration percentages under varied operational settings and disturbances is evaluated using nonlinear time-domain simulations and many execution indicators. © 2024 ieee.

关键词： Renewable energy

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Developing a Smart Drip Infusion system to Elevate Precision in Healthcare 4

Developing a Smart Drip Infusion System to Elevate Precision...

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4th international conference on Ubiquitous computing and Intelligent Information systems, ICUIS 2024

作者： Molefinyane, Sefemo Yahya, Abid Hamsadhwani, V. Rohini, R. Samikannu, Ravi Begam, K.Maruliya Botswana International University of Science and Technology Department of Electrical and Communications Systems Engineering Palapye Botswana Periyar Maniammai Institute of Science and Technology Department of Electrical and Electronics Engineering Thanjavur India Vivekanandha College of Engineering for Women Department of Computer Science and Engineering Tiruchengode India Saveetha School of Engineering Saveetha Institute of Medical and Technology Science Department of Computer Science and Communications Engineering Tiruchengode India

ISBN: (纸本)9798331529635

Intravenous (IV) therapy is a critical component of modern healthcare, yet traditional IV systems are prone to human errors, manual adjustments, and limited monitoring capabilities, which can jeopardize patient safety and hinder healthcare efficiency. this paper presents the development of the Smartdrip IV Infusion system, a sophisticated and automated solution that integrates advanced sensors, control algorithms, and intuitive user interfaces to address these limitations. the Smartdrip system minimizes human intervention, provides real-time monitoring, and automates fluid administration with enhanced precision and safety features. the system demonstrates high reliability through simulation and prototype testing in detecting anomalies, issuing alerts, and ensuring accurate infusion rates, thereby improving patient outcomes and reducing healthcare provider workload. the results validate the Smartdrip system as a transformative approach to optimizing IV therapy in diverse clinical settings. © 2024 ieee.

关键词： Automated Infusion system Drip Rate Monitoring Healthcare Automation Intravenous therapy Patient

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Large-scale non-real-time Simulation Platform for Power systems Based on Cloud computing 4

Large-scale non-real-time Simulation Platform for Power Syst...

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4th international conference on Energy, Power and Electrical engineering, EPEE 2024

作者： Zhang, Jingyue Lu, Yuanhong Hu, Yufeng Zhang, Jie Guo, Haiping Huang, Libin Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China National Energy Power Grid Technology R&d Centre Guangzhou China China Southern Power Grid Co. Ltd Guangzhou China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798331518066

the rapid evolution of smart grids has increased the complexity of power system structures and operational characteristics, presenting new challenges in system management and reliability. Traditional power system simulation tools struggle with non-real-time data processing and scalability due to limitations in their architectural designs. Moreover, existing cloud simulation platforms are constrained by closed hardware architectures and lack sufficient non-real-time capabilities. As a solution, we propose a novel large-scale non-real-time simulation platform for power systems based on cloud computing, designed with a modular architecture. By leveraging advanced technologies in cloud computing, parallel computing, and non-real-time simulation, our platform addresses critical needs for scalability, efficiency, and cost-effectiveness. We discuss how integrating these technologies enhances computational performance and supports complex simulation tasks, ultimately improving decision-making and operational efficiency in power system management. © 2024 ieee.

关键词： Cloud platforms

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