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

共 15474 条记录，以下是261-270 订阅

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conference Committees

Conference Committees

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international conference on electrical engineering, computing science and automatic control (CCE)

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Enhancement of LFC-AVR Combined System by Using Fuzzy PID controller 6

Enhancement of LFC-AVR Combined System by Using Fuzzy PID Co...

引用

6th international Youth conference on Radio Electronics, electrical and Power engineering, REEPE 2024

作者： Mansour, S. Attia, Mahmoud A. Badr, Ahmed O. Shaaban, Mostafa F. Ain Shams University Faculty of Engineering Department of Electrical Power and Machines Cairo Egypt American University of Sharjah Department of Electrical Engineering Sharjah United Arab Emirates

ISBN: (纸本)9798350382891

Maintaining the system terminal voltage and the area frequency at their nominal values is a significant challenge for power system operators. Thus, this paper proposes a control strategy to enhance the Load Frequency control (LFC) and automatic Voltage Regulator (AVR) combined system by using fuzzy logic-based PID for the LFC circuit and trial-and-error based PID for the AVR circuit. The validation of the proposed controller is proven through comparison with several conventional controllers used in the combined system. The proposed controller proves its superiority in enhancing the transient response of the system. Finally, the robustness of the proposed system is examined under various operational disturbances, underscoring its reliability in upholding stable system voltage and frequency. The proposed controller consistently shows less undershoot compared to conventional techniques, with reductions ranging from 13% to 47. © 2024 IEEE.

关键词： Voltage regulators

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Simulation and Evaluation of a Cascade Multilevel Inverter Using STATCOM Strategy

Simulation and Evaluation of a Cascade Multilevel Inverter U...

引用

2024 international conference on Sustainable computing and Integrated Communication in Changing Landscape of AI, ICSCAI 2024

作者： Kumar, Neeraj Jain, Upma Almusawi, Muntather Kumar, Yogendra Deepak, A. Dutt, Amit Department of Electrical Engineering Doon Institute of Engineering and Technology Uttarakhand Rishikesh India Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun India Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Electrical Engineering GLA University Mathura India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Tamilnadu Chennai India Lovely Professional University Phagwara India

ISBN: (纸本)9798350355338

In this paper analysis the Cascade multilevel inverters (CMI) are superior to other multilevel inverter configurations in STATCOM applications owing to their distinguishing features, such as structural flexibility and control design feasibility in the service of lower device losses and high value of AC output voltage waveform improve. Voltage output stabilization and pf correction in case of common connection are two exceedingly difficulties that might lead to the system's dominance. This study presents the system's general control architecture and details how the 9-level CMI might be used as STATCOM to perform reactive power compensation and DC network voltage equalization. The superiority of the system under varying loads and fault circumstances has been confirmed by computer modeling. © 2024 IEEE.

关键词： Cascade multilevel inverter (CMI) Line ground (LG) fault Point of common coupling (PCC)

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Smart Impact Mitigation: Intelligent Speed and Safety 3

Smart Impact Mitigation: Intelligent Speed and Safety

引用

3rd international conference on Intelligent and Innovative Technologies in computing, electrical and Electronics, IITCEE 2025

作者： Raj, K. John Samuel Mohan, B. Harikrishnan, P. Johnson, J. Gnana Arun Sivamurugan, C. Vigneshwaran, P. Sarathkumar, D. Scad College of Engineering and Technology Department of Ece Tamilnadu Tirunelveli India P.S.R. Engineering College Department of Ece Tamilnadu Sivakasi India Kalasalingam Academy of Research and Education Department of Ece Tamilnadu Krishnankoil India Velammal Engineering College Department of Ece Tamilnadu Chennai India Kalasalingam Academy of Research and Education Department of Cse Tamilnadu Krishnankoil India Kongu Engineering College Department of Electrical and Electronics Engineering Perundurai Tamilnadu Erode638 060 India

ISBN: (纸本)9798331515911

Road accidents present an enduring global issue, leading to substantial loss of life and property. The present research introduces a mechanism developed for the identification of accidents in real-time and the proactive regulation of vehicle speed to reduce collisions and lessen their impact. The utilization of acceleration and gyroscopic sensors aids in recognizing sudden changes in vehicle movement that may indicate accidents. Once identified, the system promptly sends out an alert message with precise vehicle location coordinates via GSM to predetermined emergency contacts, such as emergency services and specified family members. GPS technology is employed for continuous monitoring of the vehicle's location, allowing for comparison with stored speed limits. Persistent occurrences of speeding lead the system to independently adjust vehicle speed by controlling the throttle or applying the brakes, thereby ensuring adherence to speed regulations and improving overall road safety. This comprehensive approach provides numerous advantages, including immediate accident identification, swift alert dissemination, and automatic speed control directed at accident prevention. Through the seamless integration of GSM and GPS technologies, the system establishes a strong foundation to support road safety initiatives and reduce the impact of accidents at a systemic level. © 2025 IEEE.

关键词： Global positioning system

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Routing Optimization in the Internet of Vehicle: A Systematic Review 4

Routing Optimization in the Internet of Vehicle: A Systemati...

引用

4th IEEE international Maghreb Meeting of the conference on sciences and Techniques of automatic control and Computer engineering, MI-STA 2024

作者： Ahmed, Zeinab E. Hashim, Aisha A. Saeed, Rashid A. Elbasheir, Mohammed S. Uni. of Gezira Dept of Comp. Eng. Wad Madani Sudan International Islamic University Malaysia KL Malaysia School of Electronic Eng. University of Science and Technology Khrtoum Sudan

ISBN: (纸本)9798350372632

The Internet of Vehicles (IoV) represents a novel concept in vehicle communication, seamlessly is integrating cloud computing, the Internet of Things (IoT), and Vehicular Ad-hoc Networks (VANETs). Its popularity has been steadily rising, offering innovative solutions for efficient transportation management. Within a dynamic system replete with moving vehicles, addressing routing problems and related challenges is imperative. Optimal routes necessitate collective decision-making, considering the entire network rather than individual routes. Tackling this complexity, the adoption of optimization techniques becomes pivotal in seeking optimal solutions for intricate issues. This paper undertakes a comprehensive review and discussion of diverse optimization methods applicable to IoV routing protocols. © 2024 IEEE.

关键词： Vehicles

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Advancing Data Sovereignty in Distributed Environments: An In-Depth Exploration of Data Localization Challenges

Advancing Data Sovereignty in Distributed Environments: An I...

引用

2024 international conference on Computer, Electronics, electrical engineering and their Applications, IC2E3 2024

作者： Kancharla, Jaganmohan Reddy Madhu Kumar, S.D. National Institute of Technology Department of Computer Science & Engineering Calicut India

ISBN: (纸本)9798350388534

Data localization in distributed computing has gotten a lot of attention because it has the potential to improve data sovereignty, make sure regulations are followed, and make data easier to access. However, this practice also brings forth a multitude of challenges and threats to cybersecurity, data privacy, and overall information security. In this comprehensive survey paper, we delve into the complex landscape of challenges and threats associated with data localization in distributed computing environments. We explore the intricate interplay between data localization, distributed infrastructure, cybersecurity, and privacy concerns. This paper provides an in-depth analysis of various challenges such as regulatory compliance, data integrity, authentication, and access control, along with potential threats like data breaches, insider attacks, and unauthorized access. Furthermore, we investigate the state-of-the-art security mechanisms, encryption techniques, privacy-preserving methods, and access control strategies that researchers and practitioners have developed to address these challenges. Through this survey, we aim to provide a comprehensive overview of the critical issues surrounding data localization within cloud computing and shed light on the emerging trends and potential solutions that can pave the way for secure and privacy-aware data localization practices. © 2024 IEEE.

关键词： Data integrity

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Design and Implementation of Biological Inspired Algorithm Coupled with Sliding Mode controller for Autonomous Cruise control System

Design and Implementation of Biological Inspired Algorithm C...

引用

2023 IEEE international conference on Dependable, Autonomic and Secure computing, 2023 international conference on Pervasive Intelligence and computing, 2023 international conference on Cloud and Big Data computing, 2023 international conference on Cyber science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

作者： Gulzar, Muhammad Majid Ahmed, Muhammad Mughees Shakoor, Adnan Tahreem, Huma Center for Renewable Energy and Power Systems King Fahd University of Petroleum & Minerals Department of Control & Instrumentation Engineering Dhahran31261 Saudi Arabia University of Central Punjab Department of Electrical Engineering Lahore Pakistan

ISBN: (纸本)9798350304602

In modern automobiles, driving assistance systems are extensively used for efficiency, safety and comfort. These systems are utilized for autonomous driving, cruise control, and obstacle avoidance. All of these systems consist of a large number of radars and sensors that generate rapid responses to control the speed or direction of a vehicle. The primary objective of this type of technology is to reduce accidents by reducing driver tension and enhancing travel comfort. The purpose of this study is to develop a controller for cruise control in vehicles that can precisely, rapidly, and efficiently attain the desired speed. In this study, biological inspired optimization tuned Sliding Mode controller is utilized which is more accurate and robust, and can help to adjust the parameters so that the cruise control system provides minimal error, stable results with the fewest disturbances possible. In order to demonstrate the superiority of the proposed controller, the results are subsequently compared to currently employed cutting-edge technologies for cruise control. © 2023 IEEE.

关键词： Autonomous vehicles

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Construction of an Artificial Intelligence Standard Knowledge computing Engine System for Power Grid Equipment

Construction of an Artificial Intelligence Standard Knowledg...

引用

2024 international conference on Power, electrical engineering, Electronics and control, PEEEC 2024

作者： Jiang, Shengchao Zhou, Yuzhong Lin, Zhengping La, Yuan Wang, Feifeng Pei, Yunqing Electric Power Science Research Institute Guangxi Power Grid Co. Ltd Guangxi Nanning50023 China Electric Power Research Institute of China Southern Power Grid Company Guangdong Guangzhou510700 China China Southern Power Grid Co. LTD. Guangdong Guangzhou510623 China

ISBN: (纸本)9798350378917

The artificial intelligence standard knowledge computing engine system for grid equipment construction was applied to realize the functions of real-time monitoring, fault diagnosis, predictive analysis and optimization decision-making for grid equipment. The approach starts with overall system engineering, starting with grid equipment data acquisition and initial processing, followed by feature extraction and model training. In terms of model selection, according to the features and requirements of power grid equipment, suitable artificial intelligence models and algorithms were selected. The model was optimized, and the model parameters were adjusted in the study. Ultimately, an artificial intelligence standard knowledge computing engine system was built to realize the analysis and decision support of power grid equipment. Through the analysis and prediction of grid equipment data, the system could accurately identify the equipment faults, states and behaviors;and provide timely decision support. © 2024 IEEE.

关键词： Construction equipment

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Analysis of Comparative Methods for Machine Learning-Based Lung Cancer Prediction

Analysis of Comparative Methods for Machine Learning-Based L...

引用

2024 international conference on electrical, Electronics and computing Technologies, ICEECT 2024

作者： Negi, Harendra Singh Kuamr, Bhawnesh Singh, Neelam Bhatt, Jai Shankar Aswal, Upendra Singh Gupta, Atika Graphic Era Deemed to be University Department of Computer Science and Engineering Dehradun India Graphic Era Hill University School of Computing Dehradun India

ISBN: (纸本)9798350378092

The older tiers and led expert documents are used to detect cancer;this could be useful. There has to be room for human mistake. It results in the possibility of inaccuracy in the identification of lung cancer;hence an automatic process is required. In order to reduce human error and improve the accuracy and error-free nature of the system, the report then aims to detect lung cancer early through an automated procedure. To achieve this, machine learning algorithms like naive bayes, KNN, Ridge Classifier, Multilayered Perception, and support vector machine algorithms are used to detect lung cancer. Using a dataset of lung cancer cases, we have developed five algorithms to assess performance according to four parameters: accuracy, recall, f1 score, and precision. Comparative research has been conducted on these parameters, and an AUC-ROC curve has been created to demonstrate how well machine learning models perform. © 2024 IEEE.

关键词： Lung cancer

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Using Densenet169 for Image-Based Classification of Solar Panel Defects 7

Using Densenet169 for Image-Based Classification of Solar Pa...

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7th international conference on Contemporary computing and Informatics, IC3I 2024

作者： Nagar, Sweety Mishra, Manas Kumar Rai, Praveen Kumar G L Bajaj Institute of Technology and Management Department of Computer Science and Engineering Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350350067

This study investigates the effectiveness of the DenseNet169 deep learning model for the automatic classification of solar panel defects. We used a comprehensive dataset of over 11,000 validated images encompassing six defect categories: bird droppings, dust, electrical damage, physical damage, snow cover, and pristine panels. The model achieves a high training accuracy, demonstrating its ability to learn defect patterns. Validation and test accuracy scores reveal the model's potential for real-world applications. However, further exploration is warranted to refine the model and address subtle visual similarities between certain defect types, such as physical and electrical damage. This research paves the way for enhanced solar panel inspection techniques, promoting efficient maintenance and optimal energy production. © 2024 IEEE.

关键词： Solar concentrators

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