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检索条件"任意字段=International Conference on Electrical Engineering Computing Science and Automatic Control"

共 15534 条记录，以下是831-840 订阅

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Machine Learning Integrated Software Defined Networking Architecture for Congestion control 2

Machine Learning Integrated Software Defined Networking Arch...

引用

2nd IEEE international conference on Distributed computing and electrical Circuits and Electronics, ICDCECE 2023

作者： Sha, Akhbar Madhan, S. Neemkar, Sandeep Varma, Vanapala Bharath Chandra Nair, Lekha S. Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Amritapuri India

ISBN: (纸本)9798350347456

Data center networks rely upon the excellent throughput of the network to ensure data transfer happens at incredible speeds. Many factors can determine the network's throughput, such as the design, routing mechanism, and congestion control model. The introduction of the cloud made it more challenging as high traffic can happen and disrupt the data transfer for the cloud applications;this is a challenge in hosting cloud services and applications. The introduction of Software Defined Networking (SDN) made it possible to program the networks and thus provide scope for enhancing the congestion control mechanisms. Separating the control plane from the data plane helps in independence and extracting and processing the data from different perspectives. This paper proposes a Machine Learning approach implementable in an SDN context that helps reduce congestion control by learning data transfer patterns. We propose a modified version of SDN in which an additional layer is implemented above the control plane called ML plane. ML plane takes care of the trend learning in the network that guides the control plane for better decisions. In this paper, we exhibit the architecture of ML plane for the purpose of congestion control in busy networks. © 2023 IEEE.

关键词： Software defined networking

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Adaptive Droop control System for automatic Voltage Restoration in DC Microgrids

Adaptive Droop Control System for Automatic Voltage Restorat...

引用

2023 international conference on System science and engineering, ICSSE 2023

作者： Lam, Phuc Hong Tran, Khoa Nguyen Dang Nguyen, Tuyen Dinh Phuoc, Hoa Truong Nguyen, Hung Duc Pham, Duc Minh Ho Chi Minh City University of Technology VNU-HCM Faculty of Electrical and Electronics Engineering Ho Chi Minh City Viet Nam

ISBN: (纸本)9798350322941

DC microgrids offer a potential solution for efficient and reliable energy sharing within local communities. Nonetheless, conventional control techniques employed in these systems are hindered by their inability to ensure optimal energy distribution and load balancing, particularly under conditions of fluctuating loads and renewable power sources. To overcome these problems, this paper presents an adaptive droop controller that adjusts the droop parameters in real time using the primary current sharing loops to reduce the load current deviation and shifts the droop lines through the second loop to eliminate bus voltage deviation in DC microgrids. The proposed system adjusts its droop coefficients dynamically to regulate the load power. The performance of the proposed system is evaluated through PLECS software simulation. Simulation results show that the proposed system achieves better load balancing and stability compared to traditional control methods. Also, this study provides valuable insights into the development and implementation of adaptive droop control systems for automatic-energy sharing in DC microgrids, which can contribute to the development of sustainable and reliable energy systems in local communities. © 2023 IEEE.

关键词： Electric power distribution

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Design of thermal management system for high-power liquid-cooled charging pile 5

Design of thermal management system for high-power liquid-co...

引用

2024 5th international conference on electrical Technology and automatic control, ICETAC 2024

作者： Wang, Junqiang Yang, Shuqiang Liu, Yike Tang, Yingguo School of Physics and Electronic Information Luoyang Normal University Henan Luoyang471934 China School of Information and Control Engineering China University of Mining and Technology Jiangsu Xuzhou221116 China

High-power ultra-fast charging causes the charging gun to rapidly heat up, posing safety hazards. Therefore, the focus of the research is on thermal management during the overcharge process. To address this, a novel thermal management control system (TMS) for high-power liquid-cooled charging piles has been designed. The liquid circulation channels connect the cables and the charging gun, with coolant flowing through the pipes. A pump delivers the coolant to the charging gun to remove heat. The TMS monitors temperature, pressure, and flow to control the oil pump and fan speeds, maintaining the perforating gun temperature within a preset range and managing the system's heat. This TMS system enables the liquid-cooled charging cables to carry larger currents, significantly enhancing charging power. © Published under licence by IOP Publishing Ltd.

关键词： Fast charging (Batteries)

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Electric Vehicle Charging System Using RFID and IoT for Enhanced User Experience 5

Electric Vehicle Charging System Using RFID and IoT for Enha...

引用

5th IEEE Middle East and North Africa COMMunications conference, MENACOMM 2025

作者： Hassain, Md Mehedi Haque Jamil, Injamul Hoque, Md Mahmudul Hasan, Md. Jahid International Islamic University Chittagong Dept. of Electrical and Electronics Engineering Chittagong Bangladesh University of Greenwich Dept. of Computing and Mathematical Sciences London United Kingdom CCN University of Science and Technology Dept. of Computer Science and Engineering Cumilla Bangladesh Comilla University Dept. of Information and Communication Technology Cumilla Bangladesh

ISBN: (纸本)9798331519957

Electric vehicles (EVs) are surging in popularity globally, offering a greener and more energy-efficient alternative to traditional cars. Our research aims to develop an RFID based system designed to automate EV charging with minimal user input. This system integrates RFID readers, tags, a microcontroller, and a relay module to manage and monitor charging sessions efficiently. An IoT platform supports real time monitoring and remote control, while a secure payment mechanism handles transactions seamlessly. RFID tags identify vehicles for automatic charging initiation, and the relay module prevents overcharging by disconnecting power after a set time. The system uses MQTT for data transmission and offers real-Time insights into energy use and account balances. All information is updated and displayed in real-Time on the server. MySQL ensures scalability, enabling effective handling of large volumes of data. The mobile application dashboard provides a view of the charging and discharging processes for user monitoring, and an email notification is sent after the recharge. EV battery charging status is monitored through visual graphs. Key benefits include a streamlined user experience, improved charging management, and support for EV adoption. This innovation advances sustainable mobility with a user friendly, efficient charging solution. © 2025 IEEE.

关键词： Radio frequency identification (RFID)

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Attitude control for a satellite with inertial wheels based on Attractive Ellipsoids Method

Attitude Control for a satellite with inertial wheels based ...

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international conference on AeroSpace science and Technology 2023, ICASST 2023

作者： Solis, Cesar U. Montelongo, Carlos M. Ingenieria Mecanica y Electrica High School of Mechanical and Electrical Engineering Instituto Politecnico Nacional National Institute Polytechnic Luis Enrique Erro s/n Unidad Profesional Adolfo Lopez Mateos Col. Zacatenco Gustavo A. Madero Mexico City Mexico

This article presents a robust control law based on the Attractive Ellipsoids Method applied to perform attitude control of a satellite that has inertial wheels and relatively small dimensions such as microsatellites or other similar architectures. The novelty lies in the fact that under certain characterized external and parametric perturbations it is possible to track the desired angular trajectory with an optimization method to determine the computed torque. Additionally, a demonstration of this methodology is carried out with a numerical example. © Published under licence by IOP Publishing Ltd.

关键词： Attitude control

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Enhanced Supply Chain Management using IoT based Predictive Analysis 15

Enhanced Supply Chain Management using IoT based Predictive ...

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15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Jagadeesan, Arunkumar Gowrishankar, Vigneshwaran Yesodha, Karthik Raj Kumar Yuvaraj, N. PLM Engineering Campfire Interactive Inc. 2211 Old Earhart Rd Suite 175 Ann ArborMI48105 United States Advanced Manufacturing Canoo 19951 Mariner Ave TorranceCA90503 United States Supplier Quality and Planning Caterpillar Inc. 3000 N St DecaturIL62526 United States Sri Shakthi Institute of Engineering & Technology Department of Computer Science and Engineering Tamil Nadu Coimbatore India

ISBN: (纸本)9798350370249

Predictive analytics and automation with net of factors (IoT) is an rising fashion in supply chain management as the generation permits for price-efficient operations and permits organizations to higher reveal and control their deliver chain systems. The combination of predictive analytics algorithms and automatic structures can offer insights into deliver chain operations and expect adjustments in patron demands and allow agencies to better plan and put together for the future. IoT can also be used to screen supply chain techniques, become aware of regions for development and proactively manipulate potential disruptions. By means of utilizing IoT-based analytics and automation, advantages which includes increased visibility in supply chain operations, elevated customer satisfaction, and price-effective deliver chain processes may be done. Furthermore, predictive analytics and automation also can help improve choice-making with actual-time records insights and make certain that everyone tactics are being optimized for optimum performance. © 2024 IEEE.

关键词： Adjustments Development Disruptions Elevated Processes Visibility

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Deep Learning Long Short-Term Memory based automatic Music Transcription System for Carnatic Music

Deep Learning Long Short-Term Memory based Automatic Music T...

引用

2022 IEEE international conference on Distributed computing and electrical Circuits and Electronics, ICDCECE 2022

作者： Gowrishankar, B.S. Bhajantri, Nagappa U Vidyavardhaka College of Engineering Department of Information Science Karnataka Mysore India

ISBN: (纸本)9781665483162

automatic music transcription uses computational algorithms to covert a music audio into some form of music notation. automatic music transcription is very important for applications like music mixing, song recommendation and music information retrieval. It is a challenging task involving the domains of signal processing and artificial intelligence. Though there are many works on automatic music transcription for western music, there are very few works for automatic music transcription for Indian classical music, especially Carnatic music. automatic music transcription for Carnatic music is very challenging due to variations in the swars/note frequencies. Due to the variations, it becomes difficult to detect the Raga and transcribe the music. In this work, a deep learning LSTM based automatic music transcription system is proposed for Carnatic music. The note detection is solved as the image classification problem using a modified Visual Geometry Group Network (VGGNet). The sequence of notes is classified into 72 Melakartha ragas using an LSTM classifier and provides better accuracy when compared to existing methods. © 2022 IEEE.

关键词： Music

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automatic Train Tracking and Announcement System 5

Automatic Train Tracking and Announcement System

引用

5th IEEE international conference on Advances in computing, Communication control and Networking, ICAC3N 2023

作者： Manikandan, P. Swedheetha, C. Thulasi, Sai Narasimha Charan Chennuru, Venkata Vignesh Reddy Vardireddy, Jaswanth Kumar Reddy Deepak, Y.V.S.S. Electronics And Comm. Engineering Kalasalingam Academy Of Research And Education Krishnankoil India Velammal College Of Engineering And Technology Department Of Computer Science Eng. Madurai India

ISBN: (纸本)9798350330861

In many of the developing countries, the railway passengers are facing the issues during their long-distance train journey such as identifying the arrival station, identifying train platform number. Because of these issues passengers need keep more attention with fear to find whether the train is reached the destination or not. Sometimes, the passengers may get down in the wrong destination. Similarly, during departure of the journey, passengers miss the train or may get the wrong train because they unable find the platform number of their train. Also in many developed countries, the above issues are sorted by using technologies, but the entire system is not fully automatic and manual processes are involved or there will various mobile, or web applications are used. So, this paper focusing on the development an automatic electronic system for train tracking, announcing the platform number of train and alerting the user through audio announcement and sending alert SMS to the passengers when they nearing the station like 3 km away from their arrival station. © 2023 IEEE.

关键词： Developing countries

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An Innovation of Multichip Dynamic Industrial Network Development with The Flooding Network Resources 2

An Innovation of Multichip Dynamic Industrial Network Develo...

引用

2nd IEEE international conference on Distributed computing and electrical Circuits and Electronics, ICDCECE 2023

作者： Lakhanpal, Anupam Garima, Garima Galgotias University Department of Computer Science and Engineering Greater Noida India Greater Noida India

ISBN: (纸本)9798350347456

The multichip dynamic industrial network is a powerful tool for industrial applications. It enables communication between multiple devices, such as sensors, actuators, controllers, and other industrial components. It is an efficient means of connecting and controlling a variety of industrial systems in a single network. The multichip dynamic industrial network is a distributed control system consisting of several interconnected nodes. Each node contains a processor, memory, and other components that are essential for communication. The nodes are connected to one another through a network of cables and connectors. The nodes can be located anywhere in the world and can communicate with each other in real-time. The multichip dynamic industrial network is used in many industrial applications such as manufacturing, process control, and machine automation. It can be used to monitor, control, and modify the machines in a factory. It can also be used to monitor and control the supply chain from the raw material supplier to the finished product. © 2023 IEEE.

关键词： controllers

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Joint Resource Allocation and Data Offloading for Closed-Loop controls in Satellite-UAV Networks 16

Joint Resource Allocation and Data Offloading for Closed-Loo...

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16th international conference on Wireless Communications and Signal Processing, WCSP 2024

作者： Lei, Chengleyang Feng, Wei Wei, Peng Chen, Yunfei Ge, Ning Mao, Shiwen Tsinghua University Department of Electronic Engineering Beijing100084 China Tsinghua University State Key Laboratory of Space Network and Communications Beijing100084 China University of Electronic Science and Technology of China National Key Laboratory of Science and Technology on Communications Chengdu611731 China University of Durham Department of Engineering DurhamDH1 3LE United Kingdom Auburn University Department of Electrical and Computer Engineering AuburnAL36849 United States

ISBN: (纸本)9798350390643

To efficiently provide coverage for the machines and robots in remote areas, satellites and unmanned aerial vehicles (UAVs) can be utilized. In such scenarios, UAVs need to integrate different functions to support the control tasks of robots efficiently, while satellites can serve as backhaul to the cloud. To improve the overall performance of the closed-loop control tasks of robots, we jointly optimize the communication and computing resource allocation with data offloading. Specif-ically, we explore the linear quadratic regulator (LQR) cost to measure the control performance and formulate a sum LQR cost minimization problem. An iterative algorithm is proposed to solve the optimization problem. Simulation results are provided to demonstrate the superiority of the proposed scheme. © 2024 IEEE.

关键词： Resource allocation

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