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3rd IEEE World Conference on Applied Intelligence and Computing, AIC 2024

作者： Bhattacharjee, Rituraj Mukherjee, Subhradip Manipal Institute of Technology Manipal Academy of Higher Education Department of Instrumentation & Control Engineerig Udupi-Karkala Road Karnataka Manipal576104 India Mvj College of Engineering Electronics and Communication Department Bangalore India

ISBN: (纸本)9798350384598

A missile navigation system model is developed and analyzed in this work. The flight command structure is a crucial component which improves the efficiency of the system. It has a major impact on both the accuracy of the strike and precise control over the missile's performance. The goal of the flight command structure is to instruct the missile to follow the steering directive produced by the control system. The system's representation is determined by how well it establishes the flying course required to intercept the target and sends the commands to the attitude control system required to keep the missile on course while taking the airframe's dynamics and relevant aerodynamic characteristics into account. The missile is guided to attack the target after it has been tracked, and its trajectory is determined by the homing guidance loop utilizing the PID controller-based autopilot mode. In the MATLAB simulation environment, dynamic performance of the missile guidance system is simulated using a step response technique based on time. © 2024 IEEE.

关键词： MATLAB

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Integrating V2X solutions in intelligent green cities: an AI-driven point exchange system approach

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Neural Computing and Applications 2025年 1-33页

作者： Talaat, Fatma M. Shaban, Warda M. ZainEldin, Hanaa Badawy, Mahmoud Elhosseini, Mostafa Faculty of Artificial Intelligence Kafrelsheikh University Kafrelsheikh Egypt Faculty of Computer Science & Engineering New Mansoura University Gamasa35712 Egypt Department of Communication and Electronics Engineering Nile Higher Institute for Engineering and Technology Mansoura Egypt Faculty of Artificial Intelligence and informatics Horus University New Damietta Egypt Computers and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura35516 Egypt Computer Science and Information Department Applied College Taibah University Madinah42353 Saudi Arabia College of Computer Science and Engineering Taibah University Yanbu46421 Saudi Arabia

With rapid urbanization, smart cities have become essential for enhancing urban management and sustainability by integrating technological, social, and institutional innovations. Among these innovations, vehicle-to-everything (V2X) communications and electric vehicles (EVs) play a critical role in reducing carbon emissions and optimizing urban mobility. To address the existing gaps in holistic V2X integration, this paper presents a novel eco-assistive fog-based traffic management system (EAFTMS) that leverages a four-tier architecture (IoT, fog, cloud, and application) for scalable, real-time traffic optimization. A key innovation of this system is the AI-driven point exchange system (PES), designed to incentivize sustainable behaviors such as reducing unnecessary vehicle usage and promoting green lifestyle choices. Unlike conventional models, the proposed framework incorporates real-time behavioral monitoring, rewards-based sustainability programs, and V2X-enabled dynamic traffic control. Empirical validation demonstrates that EAFTMS outperforms existing models, including support vector regression (SVR), achieving a 30% reduction in latency, a 40% improvement in response time, a 25% increase in traffic flow efficiency, and a 35% reduction in CO2 emissions. These results highlight the framework’s potential to set new standards in intelligent green cities by offering scalable, practical, and environmentally impactful solutions to urban transportation challenges. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Urban transportation

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Intelligent Agricultural Drones Utilizing Nano-Fertilizer Dispensation for Precision Farming

Intelligent Agricultural Drones Utilizing Nano-Fertilizer Di...

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International Conference on communication, Computing and Internet of Things (IC3IoT)

作者： G Jayanthi W Nancy B. Umamaheswari R Chithrakkannan R Sujith S Sathya Prasanna Department of Instrumentation and control Engineering Sri Sairam Engineering college Department of Electronics and Communication Engineering Jeppiaar Institute of Technology Department of Electronics and Communication Engineering Sri Sairam Engineering college

ISBN: (数字)9798350352689

ISBN: (纸本)9798350352696

An innovative approach to precision agriculture through the integration of artificial intelligence (AI) and nano-fertilizer technology in an agricultural drone system. The proposed system aims to optimize crop yield, reduce environmental impact, and enhance resource efficiency by employing advanced AI algorithms for crop health assessment and nano-fertilizers for targeted nutrient delivery. The drone's real-time decision-making capabilities, coupled with precise dispensation of nano-sized fertilizers, contribute to sustainable farming practices. Field trials demonstrate promising results in terms of improved crop productivity, resource utilization, and minimized environmental footprint.

关键词： Productivity Soil Real-time systems Telecommunication computing Resource management Internet of Things Artificial intelligence

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Strip Weld Inspection Based on Improved VGG16 8

Strip Weld Inspection Based on Improved VGG16

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8th International Conference on Signal and Image Processing, ICSIP 2023

作者： Fu, Sisi Chen, Yuan Xian, Dexin Kong, Shiyuan Wang, Hao Wang, Jinsong Changchun University of Science and Technology School of Optoelectronic Engineering Guangdong Zhongshan China Harbin University of Science and Technology School of Measurement and Control Technology and Communication Engineering Heilongjiang Harbin China Zhongshan Institute School of Optoelectronic Engineering Changchun University of Science and Technology Guangdong Zhongshan China Changchun University of Science and Technology Zhongshan Institute Changchun University of Science and Technology School of Optoelectronic Engineering Guangdong Zhongshan China

ISBN: (纸本)9798350397932

As one of the indispensable materials in modern industry, high precision and high efficiency defect detection of strip weld has become an important part of production and quality control. In response to the shortcomings of the existing strip weld detection technology with low detection accuracy, this paper proposes a deep learning based strip weld defect detection and classification technique. First, the CBAM attention mechanism is introduced into the network structure to improve the attention to important features;second, the traditional convolution layer is replaced by using the dilated convolution to reduce the computation while increasing the perceptual field;finally, the original ReLU activation function is replaced by the PReLU activation function to effectively overcome the problem of neuron death in the Relu activation function. The improved model finally achieves a recognition rate of 98.1% in the test set, which is 22.1% higher than that of the unimproved model, greatly improving the accuracy and robustness of the algorithm. © 2023 IEEE.

关键词： Convolution

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Cryptography-Based Privacy-Preserving Method for Distributed Optimization over Time-Varying Directed Graphs with Enhanced Efficiency

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IEEE Transactions on Automatic control 2025年

作者： Liu, Bing Xie, Furan Chai, Li Wuhan University of Science and Technology Engineering Research Center of Metallurgical Automation and Measurement Technology Wuhan430081 China Zhejiang University College of Control Science and Engineering Hangzhou310027 China

In this paper, we study the privacy-preserving distributed optimization problem, aiming to prevent attackers from stealing the private information of agents. For this purpose, we propose a novel privacy-preserving algorithm based on the Advanced Encryption Standard (AES), which is both secure and computationally efficient. By appropriately constructing the underlying weight matrices, our algorithm can be applied to time-varying directed networks. We show that the proposed algorithm can protect an agent's privacy if the agent has at least one honest neighbor at the initial iteration. Under the assumption that the objective function is strongly convex and Lipschitz smooth, we rigorously prove that the proposed algorithm has a linear convergence rate. Finally, the effectiveness of the proposed algorithm is demonstrated by numerical simulations of the canonical sensor fusion problem. © 2025 IEEE.

关键词： Encryption algorithms

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Semi-asynchronous personalized federated learning for short-term photovoltaic power forecasting

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Digital communications and Networks 2023年第5期9卷 1221-1229页

作者： Weishan Zhang Xiao Chen Ke He Leiming Chen Liang Xu Xiao Wang Su Yang College of Computer Science and Technology China University of Petroleum(East China)China Sichuan Energy Internet Research Institute Tsinghua UniversityChina School of Computer and Communication Engineering Beijing University of Science and TechnologyChina State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijingChina School of Computer Science Fudan UniversityChina

Accurate forecasting for photovoltaic power generation is one of the key enablers for the integration of solar photovoltaic systems into power *** deep-learning-based methods can perform well if there are sufficient training data and enough computational ***,there are challenges in building models through centralized shared data due to data privacy concerns and industry *** learning is a new distributed machine learning approach which enables training models across edge devices while data reside *** this paper,we propose an efficient semi-asynchronous federated learning framework for short-term solar power forecasting and evaluate the framework performance using a CNN-LSTM *** design a personalization technique and a semi-asynchronous aggregation strategy to improve the efficiency of the proposed federated forecasting *** evaluations using a real-world dataset demonstrate that the federated models can achieve significantly higher forecasting performance than fully local models while protecting data privacy,and the proposed semi-asynchronous aggregation and the personalization technique can make the forecasting framework more robust in real-world scenarios.

关键词： Photovoltaic power forecasting Federated learning Edge computing CNN-LSTM

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Temperature Response Analysis of Intelligent OPPC Cable Core Based on Finite Element Simulation 22

Temperature Response Analysis of Intelligent OPPC Cable Core...

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22nd International Conference on Optical communications and Networks, ICOCN 2024

作者： Xie, Wenping Nie, Ming Liang, Yongchun Luo, Xiaoyu Han, Yu Li, Hongwei Tang, Xiaohui Electric Power Research Institute of Guangdong Power Grid Co. Ltd. Guangzhou510080 China School of Measurement and Communication Engineering Heilongjiang Provincial Key Laboratory of Quantum Control Harbin150006 China Harbin University of Science and Technology Harbin150001 China

ISBN: (纸本)9798350367652

The Optical Fiber Composite Overhead Conductor (OPPC) cable is a special type of power optical cable that combines overhead conductor and communication capabilities. It has advantages such as strong wind resistance, good corrosion resistance, high bandwidth transmission, low loss transmission, and high reliability. However, as the OPPC cable operates for a long time power transmission, its long-term working temperature has a significant impact on transmission performance and lifespan. Therefore, monitoring the temperature of the OPPC cable and internal fibers can improve the transmission capacity of the line, ensure good thermal stability, and provide important references for fault warning and maintenance. This study aims to explore the temperature characteristics of the OPPC cable through actual monitoring and analysis, providing guidance and decision-making basis for practical applications. © 2024 IEEE.

关键词： Corrosion resistance

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Research on detection and measurement method of automotive connector terminal based on improved YOLOv7 4

Research on detection and measurement method of automotive c...

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4th IEEE International Conference on Electronic technology, communication and Information, ICETCI 2024

作者： Bai, Guangze Gu, Jun Xing, Yan Xue, Guiyan Guo, Xu Song, Wanze Luo, Congbo Gu, Yu Wei, Lai Liu, Xue Changchun Vocational and Technical College Automotive Institute Changchun China Intelligent Technology Co. Ltd Changchun Jielin Changchun China Changchun City Construction Engineering School Changchun China Technical College Changchun Automotive Changchun China Co. Ltd Xinhe Measurement and Control Technology Changchun China

ISBN: (纸本)9798350361643

As a vital part of the automotive electrical system, the connector pins support the transmission of electrical signals, data and power to ensure the correct connection and collaboration between the various components of the vehicle, and their quality and reliability are crucial to the performance, safety and reliability of the vehicle. Therefore, it is of great significance to study an automatic detection method for the connection pins of automobile connectors. The traditional connector needle detection mainly relies on manual method, due to the relatively dense distribution of the connector needle and the human eye is easy to fatigue and other factors. This method has the problems of high detection error rate, low accuracy and low efficiency. Therefore, this paper proposes an automatic detection method for connecting pins of automotive connector based on improved Yolov7 target detection. This method adds attention mechanism on the basis of Yolov7 target detection, which can be more suitable for small target detection. Finally, after the improvement, the results of the YOLOV7 target detection model training, mAP@0.5, reached 94.87%, and map@0.5:0.95, reached 75.28%. compared with the results before the improvement, mAP@0.5, 69.7%, map@0.5:0.95, 51.2%. Increases of 25.17% and 24.08%, respectively. It is proved that the improved model is more suitable for the detection of the connection pin of the auto-mobile connector. The detection rate of the final car connector pin is as follows: After the car connector pin is detected, the pin spacing is measured by the method of image processing in this paper, and the measurement accuracy meets the practical requirements. At the same time, the research content of this paper has laid the groundwork for other electrical and signal tests of automobile connector in the future. © 2024 IEEE.

关键词： Image enhancement

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Performance Analysis of Different controller Schemes of Interval Type-2 Fuzzy Logic in controlling of Mean Arterial Pressure During Infusion of Sodium Nitroprusside in Patients

Performance Analysis of Different Controller Schemes of Inte...

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Congress on control, Robotics, and Mechatronics, CRM 2023

作者： Mallick, Ayushi Yadav, Jyoti Chhabra, Himanshu Agarwal, Shivangi Department of Instrumentation and Control Engineering NSUT Sector-3 Delhi India Department of Electrical and Communication Engineering M. L. V. Textile and Engineering College Rajasthan Bhilwara India Department of Electronics Engineering Ramrao Adik Institute of Technology Nerul Navi Mumbai India

ISBN: (纸本)9789819955206

This research work is on designing an optimum and robust controller to improve the infusion of drug in patients during post-operative conditions in order to automatically control the mean arterial pressure. The control of mean arterial pressure of critically-ill patients is a prominent research field due to its ability to lessen recovery time, lower medical costs, and better medical staff management by lowering their burden. However, due to uncertainty in patient’s sensitivity toward the drug infused and external disturbance/noise, this is a complicated task. In this work, two efficient controller schemes, interval type-2-fuzzy logic controller-proportional integral derivative and fractional order-interval type-2-fuzzy logic controller-proportional derivative + proportional integral controller are presented. For effective optimization of these control schemes, one of the most effective nature inspired optimization, cuckoo search algorithm is implemented for finding their optimal values of parameters. In the work, simulation results and performance index i.e., settling time, overshoot IAE values shows superior performance of fractional order-interval type-2-fuzzy logic controller-proportional derivative + proportional integral controller over IT2-FLC-PID controller. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Three term control systems

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Cooperative control for Low-Voltage Ride-Through Based Improved Active Crowbar of Dfigm

SSRN

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SSRN 2024年

作者： Zhang, Yu Li, Kai Gao, Hanying Kang, Shouqiang Sun, Yutian Wang, Peng College of Electrical and Electronic Engineering Harbin University of Science and Technology Harbin China College of Measurement and Control Technology and Communication Engineering Harbin University of Science and Technology Harbin China Harbin Large Motor Research Institute Harbin China College of Electrical and Electronic Engineering Nanyang Technological University Singapore

To solve the low voltage fault problem of doubly-fed induction generator-motor (DFIGM), this paper proposes a cooperative control strategy based on improved current tracking control (ICTC) and improved active crowbar topology. The strategy adopts ICTC in the case of slight dip fault. Under the constraints of rotor voltage and current, the tracking coefficient is optimized by particle swarm optimization (PSO) algorithm. The improved active crowbar is operated when severe dip fault occurs, which decreases the negative sequence component, reduces the total harmonic distortion (THD) of the point of common coupling (PCC) current. Taking a 10 MW DFIGM as a model, the magnetic flux variation characteristics are analyzed, and the cooperative control method in this paper is compared with the inductance emulating control (IEC) and the traditional crowbar in the case of symmetrical voltage dip fault and interphase voltage dip fault. The simulation experimental results verify the effectiveness and applicability of the proposed method. © 2024, The Authors. All rights reserved.

关键词： Asynchronous generators

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