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检索条件"机构=Dept. of Electrical and Computer Engineering and Technology"

共 55629 条记录，以下是281-290 订阅

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Enhancing Power Grid Resilience: Advanced Strategies for Detecting and Analyzing Faults in Three-Phase Transmission Lines

Enhancing Power Grid Resilience: Advanced Strategies for Det...

引用

2024 IEEE International Conference on Information technology, Electronics and Intelligent Communication Systems, ICITEICS 2024

作者： Ahmed, Khandakar Rabbi Shayer, Khandokar Shadman Shuvo, Jahidul Islam Haque, F.M. Mahmudul Salam, Towfika Miraz, Shafiun Noman, Abdullah Al Sobuj, Md. Shohanur Islam Arafat, Md. Yaqub Rial, Md Istiak Hasan Miyan Research Institute International University of Business Agriculture and Technology Uttara Model Town Dhaka Bangladesh Dept. of Mechatronics Engineering Kazla Rajshahi6204 Bangladesh American International University-Bangladesh Dept. of Electrical & Electronic Engineering Dhaka Bangladesh Ahsanullah University of Science and Technology Dept. of Electrical & Electronic Engineering Dhaka Bangladesh Dept. of Computer Science and Engineering Rajshahi Bangladesh Jahangirnagar University Dept. of Institute of Information Technology Saver Dhaka1342 Bangladesh Hajee Mohammad Danesh Science and Technology University Dept. of Electrical and Electronic Engineering Dhaka Bangladesh International University of Business Agriculture and Technology Dept. of Mechanical Engineering Dhaka Bangladesh Dept. of Computer Science and Engineering Andhra Pradesh Kakinada533291 India

ISBN: (纸本)9798350382693

Power system fault analysis is a process that establishes the bus voltages and line currents when various fault types occur. Three-phase balanced faults and unbalanced faults are two categories of power system faults. Single line-to-ground, line-to-line, and double line-to-ground faults are three different types of unbalanced faults that can occur on transmission lines for power systems. Fault analysis is used to choose and set the proper protective devices and switchgear. Determining the bus voltages and line currents is critical while investigating power system issues. Numerous mathematical calculation techniques are shown in the process, which is challenging to do by hand. The calculation can be performed quickly on a computer using a Simulink created using MATLAB. However, an error occurs when inverting an extensive bus system's Y-bus to Z-bus in the conventional short circuit study;this paper offers a solution that is solved using 'MATLAB SIMULINK' to reduce error. © 2024 IEEE.

关键词： Power system analysis

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Towards Automated Lip Reading: Developing Marathi Lip Reading Datasets and Neural Network Frameworks 4

Towards Automated Lip Reading: Developing Marathi Lip Readin...

引用

4th International Conference on Intelligent Technologies, CONIT 2024

作者： Kulkarni, Apurva Kirange, Dnyaneshwar Khemachandra Ssbt College of Engineering and Technology Dept. of Computer Engineering Jalgaon India

ISBN: (纸本)9798350349900

This paper introduces an innovative method for automating lip-reading, with a specific focus on the Marathi language. Lip-reading plays a crucial role in aiding those with hearing impairments, but automating it presents significant challenges, especially for languages like Marathi lacking sufficient datasets. To tackle this, we propose a novel approach to automatic lip-reading, accompanied by the development of a specialized Marathi dataset. Leveraging advancements in computer vision and deep learning, our model deciphers linguistic content from lip movements, trained on this dataset. We employ various neural network architectures, including feed-forward, recurrent, and convolutional networks, to extract vital visual features crucial for accurate language interpretation Our primary goal is to provide a robust solution for automated lip-reading tailored specifically to regional languages like Marathi, aiming to enhance accessibility for individuals with hearing impairments, particularly in linguistically diverse contexts. This paper primarily discusses detailed exploration of dataset creation, neural network architectures for lip-reading system, we demonstrate the feasibility and potential impact of our approach. Our study underscores the significance of giving priority to regional languages in technological advancements to promote inclusivity for all individuals. © 2024 IEEE.

关键词： Convolutional neural networks

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A Machine Learning Approach to Identifying Employees at Risk of Workplace Injury 2

A Machine Learning Approach to Identifying Employees at Risk...

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2nd IEEE International Conference on Interdisciplinary Approaches in technology and Management for Social Innovation, IATMSI 2024

作者： Pramanik, Bablu Modak, Santanu Brainware University Dept. of Computer Science & Engineering India Bengal College of Engineering and Technology Dept. of Information Technology India

ISBN: (纸本)9798350360523

Workplace injuries are a critical concern, with millions occurring annually, leading to substantial human and economic costs. This study focuses on a qualitative analysis based on statistics from 2013 to 2017, with a specific emphasis on fatal and non-fatal workplace accidents within the European Union (EU) and Romania. The primary objective is to assess Romania's workplace safety status in the context of the EU and to propose strategic measures for improvement. To achieve this goal, four key indicators and statistical datasets are utilized, sourced from the National Institute of Statistics (NIS) of Romania, the Eurostat database of the European Commission, and the Romanian Labor Inspection. These indicators include the rate of incidence frequency index for occupational accidents, the average duration index, the frequency index for fatal accidents, and the severity index, enabling a comprehensive evaluation of accident frequency and severity. The rate of incidence, measuring injuries per 100,000 workers, is a pivotal indicator. Additionally, the study calculates the frequency index of non-fatal accidents (injuries per 1,000 employees) and the fatal accident frequency index (injuries per 1,000 workers). Statistical findings are rigorously validated through ANOVA analysis and T-tests. Following data evaluation, the study offers strategic recommendations informed by national and European strategies, including the National Occupational Safety and Health (OSH) Strategy for 2017-2020 and the "EU Strategic Framework on Health and Safety at Work"spanning 2014 to 2020. These recommendations aim to guide efforts for workplace accident control and prevention in Romania and the broader European *** summary, this study's core objective is to comprehensively analyze workplace accidents in Romania and the EU, employing various indicators and statistical data. Its primary aim is to assess the current status and propose evidence-based strategies for improvement, aligning with

关键词： Machine learning

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Implementation of human-following robot system applying virtual delay to posture of a leader 3

Implementation of human-following robot system applying virt...

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3rd International Conference on Image Processing and Robotics, ICIPRoB 2024

作者： Takemori, Fumiaki Tottori University Faculty of Engineering Dept. of Electrical Engineering and Computer Science Tottori Japan

ISBN: (纸本)9798350374766

This paper develops an implementation of a measurement and control system in which a vehicle follows its predecessor while maintaining a certain distance. First, we construct a model that virtually delays the reference coordinates of the leading target backwards, and propose a control law that follows the steering angle of the following vehicle to that virtual delay point. Next, a range sensor is used to detect the position and orientation of the leader, and the position and orientation is estimated using a template matching method based on the person's body contour point group measured by the sensor. Finally, the effectiveness (including robustness) of the proposed system is demonstrated in some simulations and human tracking experiments. © 2024 IEEE.

关键词： Template matching

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Droop Control Strategy in Decentralized DC/AC Inverter-based Smartgrid for Power Balance 6

Droop Control Strategy in Decentralized DC/AC Inverter-based...

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6th International Conference on electrical engineering and Information and Communication technology, ICEEICT 2024

作者： Shufian, Abu Hannan, Nasif Kabir, Shaharier Kabir, Md Ahsan Fattah, Shaikh Anowarul American International University-Bangladesh Dept. of Electrical and Electronic Engineering Dhaka Bangladesh Bangladesh University of Engineering and Technology Dept. of Electrical and Electronic Engineering Dhaka Bangladesh Electronic and Communication Engineering Military Institute of Science and Technology Dept. of Electrical Dhaka Bangladesh

ISBN: (纸本)9798350385779

Microgrids represent a core component of future power systems, consisting of interconnected distributed generators (DGs), energy storing units, with multiple consumers functioning under coordinated command, often incorporating renewables. This paper introduces a decentralized power-balance control strategy for grid voltage and current for a smartgrid involving a virtual impedance droop controller. The proposed technique focuses on three parallel voltage source inverters responsible for sharing both residential and industrial loads. Virtual impedances are employed to mitigate the effects of fluctuating line impedances, thereby minimizing circulating voltages, currents, and imbalances in power distribution. This research evaluates the strengths and weaknesses of conventional droop control methods and suggests a decentralized, novel droop control for balancing active and reactive power among integrated multiple DG's, incorporating grid voltage (310 V), current (24.11 A), and frequency (45.95 Hz) control in OFF/ON- grid mode operation of smartgrid. The operational validity of the droop controller model is verified in real-time using MATLAB, showcasing robust performance under inductive behavior in an OFF -grid or ON-grid system. © 2024 IEEE.

关键词： Controllers

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Face Generation and Recognition in Forensic Science 11

Face Generation and Recognition in Forensic Science

引用

11th IEEE International Conference on Advances in Computing and Communications, ICACC 2024

作者： Ravi, Gayathri Joy, Heynes Jitto, Jeffin Joshy, Jocelyn Jose, Jisha Mary Rajagiri School of Engineering & Technology Dept. of Computer Science and Engineering India

ISBN: (纸本)9798350379136

Suspect identification can be challenging for forensic investigations since standard procedures are time-consuming and prone to mistakes. This calls for the creation of novel approaches utilizing developments in machine learning (ML) and artificial intelligence (AI). In order to overcome these obstacles, the proposed Face Generation and Recognition in Forensic Science will make use of sophisticated recognition algorithms and AI-based face generation models. Fully trained Stable Diffusion model is applied to generate high-quality face images from textual descriptions. Image Generation, Text Guided Image Manipulation using Denoising Diffusion Probabilistic Models (DDPMs), and Dataset Matching are the three primary components of the process. Using a stable diffusion model, Image Generation quickly creates high-resolution images from word prompts by combining an autoencoder (VAE), U-Net, and text encoder. With the introduction of an alternate noise space for DDPMs, Text Guided picture Manipulation makes it possible to do meaningful picture altering tasks in response to text prompts. VGG-16 , a convolutional neural network architecture is used in dataset matching to extract features and calculate similarity, which makes dataset alignment and comparison easier. The suggested methodology gives law enforcement authorities effective tools for identifying suspects, which represents a substantial development in forensic investigations. The project intends to increase the efficiency of criminal investigations, accelerate the matching process with large datasets, and enhance the accuracy of facial sketches by utilizing AI and ML approaches. The approach's ability to produce coherent and contextually relevant face images is validated by experimental results, which also show the approach's potential for speeding up the conclusion of criminal cases, particularly unsolved cold cases. All things considered, Face Generation and Recognition in Forensic Science is a promising step in st

关键词： Convolutional neural networks

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Subsynchronous Resonance Mitigation in DFIG Wind Farms 6

Subsynchronous Resonance Mitigation in DFIG Wind Farms

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6th International Conference on electrical engineering and Information and Communication technology, ICEEICT 2024

作者： Hannan, Nasif Shufian, Abu Kabir, Shaharier Kabir, Md Ahsan Fattah, Shaikh Anowarul American International University-Bangladesh Dept. of Electrical and Electronic Engineering Dhaka Bangladesh Bangladesh University of Engineering and Technology Dept. of Electrical and Electronic Engineering Dhaka Bangladesh Electronic and Communication Engineering Military Institute of Science and Technology Dept. of Electrical Dhaka Bangladesh

ISBN: (纸本)9798350385779

Doubly-Fed Induction Generators (DFIGs), when integrated with wind farms and connected to grids featuring series compensation, are prone to instability caused by subsynchronous resonance (SSR). This paper proposed a resilient controller designed to boost the stability of electrical power networks and mitigate the SSR phenomenon between wind farms employed by DFIGs. A combined strategy is implemented to mitigate SSR by incorporating the rotor side converter controller (RSC) and the SSR damping controller (SSRDC) in the grid side converter controller (GSC). An algorithm is designed to locate the best position of the SSRDC. The algorithm is dependent on the input parameters of DFIG. Fast Fourier Transform (FFT) analysis is employed at a 60% compensation level with various wind speeds to obtain insights into how total harmonic distortion (THD) can affect stability. Simulation outcomes conducted on a real wind farm demonstrate that the proposed SSR elimination technique showcased a promising approach to suppressing SSR, thereby confirming the effectiveness of the proposed mitigation approach. © 2024 IEEE.

关键词： Fast Fourier transforms

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Game-Theoretic Frameworks for Anti-Jamming in Cognitive Radio Networks: Advancements and Strategies

Game-Theoretic Frameworks for Anti-Jamming in Cognitive Radi...

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2024 Multimedia University engineering Conference, MECON 2024

作者： Ibrahim, Khalid Malik, Aqdas Naveed Waseem, Athar Roslee, Mardeni Bin Ahmed, Sadiq COMSATS University Islamabad Dept. of Electrical and Computer Engineering Wah Pakistan International Islamic University Dept. of Electrical Engineering Islamabad Pakistan Centre for Wireless Technology Multimedia University Faculty of Engineering Cyberjaya63100 Malaysia

ISBN: (纸本)9798331530747

This paper presents a comprehensive survey of state-of-the-art anti-jamming techniques applied in cognitive radio networks (CRNs) to counter jamming attacks. The study encompasses a comparative analysis of existing literature, evaluating various aspects such as game types, jammer characteristics, equilibrium concepts, and anti-jamming defense modes. Additionally, we conducted an in-dept. review of reinforcement learning-based approaches, game-theoretic techniques, and various equilibrium concepts employed in CRN anti-jamming strategies. Moreover, the study highlights the effectiveness of deception mechanisms, including cover fire, honey pot, honey net, backscattering, and energy harvesting techniques in thwarting jamming attempts. By synthesizing the findings, this research provides a thorough understanding of defense techniques and their taxonomy in the context of CRNs. Furthermore, the study outlines future research directions and identifies potential loopholes in CRN security, offering valuable insights to guide further investigations in this critical domain. As the threats to CRNs persist and evolve, the insights gained from this survey contribute to the advancement of robust and secure CRN architectures, ultimately enhancing network resilience and reliability. © 2024 IEEE.

关键词： Reinforcement learning

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Integration of Motorized Bicycle for Sustainable Commuting

Integration of Motorized Bicycle for Sustainable Commuting

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2024 International Conference on Innovative Computing, Intelligent Communication and Smart electrical Systems, ICSES 2024

作者： Memala, W. Abitha Raj, P. Moses Kishore, B. Bhuvaneswari, C. Amutha, W. Margaret Pushpavalli, M. Sathyabama Institute of Science and Technology Dept. of Electrical and Electronics Engineering Chennai India Srm Institute of Science And Technology Dept. of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798331543617

Speed restrictions are common problems in electric bicycle drives. This problem makes these drives difficult to be used as an effective form of urban commuting. The ultimate goal of this project is to increase the speed capability by a noticeable margin. In order to do that, a Lithium Ferro phosphate (LiFePO4) battery has been implemented for better energy storage, long lasting life, and better power density. In conjunction with the battery, a motor controller is integrated to act as the brain of this bicycle system. Additionally, a BLDC hub motor has been incorporated because of its good torque and efficiency along with some additional safety features. This study pushes the envelope of smooth and sustainable commuting by improving bicycle technologies. © 2024 IEEE.

关键词： Bicycles

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An Energy Efficient Period-modulation-based Current-to-digital Converter for FET-type Sensors 21

An Energy Efficient Period-modulation-based Current-to-digit...

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21st International System-on-Chip Design Conference, ISOCC 2024

作者： Heo, Wonseok Seong, Hoyong Youn, Donghyun Je, Minkyu Ha, Sohmyung Korea Advanced Institute of Science and Technology Dept. of Electrical Engineering Daejeon Korea Republic of New York University Abu Dhabi Dept. of Electrical and Computer Engineering Abu Dhabi United Arab Emirates

ISBN: (纸本)9798350377088

This paper presents an energy-efficient current-to-digital converter with period modulation (PM) to support gas sensors based on a field-effect transistor (FET). A frequency-locked loop (FLL) converts sensor current signals into a periodic signal, which is then quantized by applying a low-noise on-chip RC oscillator. The RC oscillator with an edge combiner and a digital filter is applied to reduce quantization noise. In addition, a current digital-to-analog converter (I-DAC) at the FLL input is employed to reduce conversion time and energy. This work is implemented standalone to minimize the system costs. The proposed work is implemented in 180-nm CMOS process, achieving a fast conversion time of 4.1 μs and a superior FoMw of 208.4 fJ/c-s. © 2024 IEEE.

关键词： Quantization (signal)

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