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- Volume 17, Issue 2, 2024
Recent Advances in Electrical & Electronic Engineering - Volume 17, Issue 2, 2024
Volume 17, Issue 2, 2024
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APT Attack Detection of a New Power System based on DPI-transformer
Authors: Yazhuo Zhang and Yuancheng LiIntroduction: In recent years, the frequent occurrence of network security attacks in the power field has brought huge risks to the production, transmission, and supply of power systems, and Advanced Persistent Threat (APT) is a covert advanced network security attack, which has become one of the network security risks that cannot be ignored in the construction of new power systems. Objective: This study aims to resist t Read More
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Intelligent Technique for Moving Object Detection from Problematic Video Captured through Camera Sensor
Authors: Sneha Mishra and Dileep K. YadavAims: The significant aim of the proposed work is to develop an adaptive method to compute the threshold during run-time and update it adaptively for each pixel in the testing phase. It classifies motion-oriented pixels from the scene for moving objects using background subtraction and enhances using post-processing. Background: According to the huge demand for surveillance system, society is looking towards an intell Read More
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Design and Implementation of a Three-phase Asynchronous Motor Intelligent Test System
Authors: Yongchao Xie, Jun Yan, Jinyan Shi and Shuhua DuanBackground: The locomotive traction motor has gradually shifted from DC motors to AC motors in high-speed railways, and the traction motor needs to be regularly maintained and tested frequently. Objective: The aim of this study was to test the related motor performance by obtaining and analyzing motor data from the test according to the standard "Three-phase Asynchronous Motor Test Method (GB-T 1032-2012)". Th Read More
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Part Two: Neural Network Controller for Hydrogen-CNG Powered Vehicle
Background: The control system of the vehicle regulates parameters like fuel flow control, vehicle speed control, tracking, etc. Objective: The main objective of the paper is to monitor and determine an efficient, and automated control system for an H-CNG-powered vehicle. Using neural networks and machine learning, we would develop an algorithm for the controller to regulate the speed of the car with the help of varia Read More
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Fractional Order Controller For Power Control in AC Islanded PV Microgrid using Electric Vehicles
Authors: Anisha A. N. Rafia and Ramprabhakar JayaprakashBackground: Microgrids conquer a significant role in the evolution of distributed and modern grids from the traditional electricity system. However, microgrids with renewable energy sources connected to them often incur grid instability issues, due to the intermittent nature of these sources. Objective: This work aims to study Microgrids with Electric vehicles as a backup energy source and maintain the system’s frequency that Read More
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A Photovoltaic-based Novel Transformerless High Gain Converter for DC Microgrid Applications
Aims: A typical microgrid network sourced by renewable energy encounters a technical setback owing to the voltage imbalance across the source integration and load power dissemination. Transformers employed to stabilize the potential may deteriorate the network efficiency and increases the cost and size of the system as well. Introduction: Photovoltaic based transformerless high gain DC-DC converter (THG-DC) is propose Read More
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Defect Identification Method of Cable Termination based on Improved Gramian Angular Field and ResNet
Authors: Chuanming Sun, Guangning Wu, Dongli Xin, Kai Liu, Bo Gao and Guoqiang GaoBackground: This paper proposes a defect identification method for vehicle-mounted cable terminals in electric multiple units (EMUs) based on the improved Graham angle field and residual network to address the issue of low recognition accuracy caused by the lack of partial discharge (PD) and identification data for Ethylene Propylene Rubber (EPR) cable terminal defects. Methods: The improved Gramian angular field (IGAF) Read More
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FOG-RPL: Fog Computing-based Routing Protocol for IoT Networks
Authors: Ankit Verma and Suman DeswalBackground: The Internet of Things (IoT) is widely used because of the connectivity of devices with the Internet which provides accessibility, quick transmission, and broader coverage. IoT networks provide vast connectivity but finding the best path for sharing information is a big challenge because of limited resources like limited power and limited bandwidth. The routing protocol for low power lossy network (RPL) is standar Read More
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Study on CLLC-SMES System based on the Passivity Control Strategy
Authors: Tengfei Ye, Xiaoqiang Chen and Zhongxian WangBackground: SMES systems as power compensation devices can effectively improve the transient stability of the power system. Due to the nonlinear and strongly coupled characteristics of the compensation device, an effective transfer function cannot be established, such that the traditional PI control by the linearization cannot accurately describe the complex nonlinear system. Objective: In this paper, a passive co Read More
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Analysis of Harmonic Compensation for Grid-side Current of Series Sixfold-circuit "Phase-hopping" AC-AC Frequency Converter
Authors: Jixin Yang, Zhengwang Xu, Jin Zhu, Jiarui Zhang and Shikang ShenBackground: A series sixfold-circuit "phase-hopping" AC-AC frequency converter (SSCPH-AAFC) is an extension of traditional AC-AC frequency converters. Compared to traditional frequency converters, it has the advantages of energy-saving, low cost, and simple control. Additionally, it can increase the upper limit of the frequency conversion to the power frequency. Through multiplexing processing, it reduces the harmonic Read More
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One High Voltage Regulation Method and Related Control Strategy in the DC Transmission System
Authors: Li Ji, Guo ZhenYu, Zhang Xue You and Huang Dao JunBackground: With the development of power transmission system, the problem of small transmission capacity and low power quality of traditional AC power distribution methods is becoming increasingly prominent. The DC power distribution method promotes its own rapid development because of its suitability of connection between distributed generation and grid, high power quality, large power supply capacity, low line Read More
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Vehicle Detection in High Density Traffic Surveillance Data using YOLO.v5
Authors: Sneha Mishra and Dileep K. YadavComputer vision is one of the prime domains that enable to derive meaningful and crisp information from digital media, such as images, videos, and other visual inputs. Background: Detection and correctly tracking the moving objects in a video streaming is still a challenging problem in India. Due to the high density of vehicles, it is difficult to identify the correct objects on the roads. Methods: In this work, we have used a YOLO. Read More
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