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检索条件"任意字段=2023 3rd International Conference on Electrical Engineering and Computer Technology, ICEECT 2023"

共 11216 条记录，以下是131-140 订阅

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CNN-Based Location Detection of Static Eccentricity in 5-X Resolver 3

CNN-Based Location Detection of Static Eccentricity in 5-X R...

引用

3rd international conference on electrical Machines and Drives, ICEMD 2023

作者： Emadaleslami, M. Tootoonchian, F. Tarbiat Modares University Faculty of Electrical and Computer Engineering Tehran Iran Iran University of Technology Department of Electrical Engineering Tehran Iran

ISBN: (纸本)9798350393743

According to the significant effects of faulty resolver condition and rotor angle error on Permanent Magnet Synchronous Motor (PMSM) drive system stability, the diagnosis of the fault occurrence and, more critically, the fault location is crucial. Among the resolver's faults, static eccentricity has more probability and severity. So, the following study focuses on proposing a Convolutional Neural Networks (CNN)-based static eccentricity location diagnosis under stator slots. Accordingly, using Finite Element Analysis (FEA), various locations and severity of static eccentricity are generated. The Fast Fourier Transform (FFT) and Frequency Occurrence Plot (FOP) are regarded as the data preprocessing stages, applying on resolver signal voltages. Then, in the training stage, various CNNs are trained to obtain a highly accurate network. The feasibility of the suggested CNN in fault location diagnosis is shown by the confusion matrix, accuracy metric, and F1-score criterion. © 2023 IEEE.

关键词： Convolution

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Feature Selection-Based Machine Learning Approaches for Detecting Android Malware with Explainable AI 3

Feature Selection-Based Machine Learning Approaches for Dete...

引用

3rd international conference on Advancement in electrical and Electronic engineering, ICAEEE 2024

作者： Habib, Mahbuba Kibria, Hafsa Binte Rajshahi University of Engineering & Technology Department of Electrical & Computer Engineering Rajshahi6204 Bangladesh

ISBN: (纸本)9798350388282

With the involvement of technology, its negative sides are showing out drastically. As Android is an open-source platform that has nice customization, control and accessibility features cost-effectively, it attracts middle-class device users. As of 2023, Android has a 70.29% global market share. So, its insecurity has a tremendous effect on the mobile industry. This study represents how to efficiently detect Android malware in machine learning with various feature selection techniques like Correlation, Mutual Information, Chi-Square test and Recursive Feature Elimination to serve the optimization of the huge amount of information collected from different apps. Besides, these criteria are tested with different under-sampling and oversampling techniques. This research evaluates some more widely used algorithms: Decision Tree, Random Forest, and XG Boost. Among them, Random Forest surpasses all other algorithms. The output is evaluated with another dataset. Also, Explainable AI is used for the transparency of the models. This implies that Smote NC-based Mutual Information gives the highest outcome(98.5%) with an F1 score of 98% using a 10-fold cross-validation (CV) in Android malware detection. © 2024 IEEE.

关键词： Android malware

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Decision Fusion Network Based on Lightweight Multi-Head Attention Mechanism for Motor Fault Diagnosis 3

Decision Fusion Network Based on Lightweight Multi-Head Atte...

引用

3rd international conference on electrical engineering and Mechatronics technology, ICEEMT 2023

作者： Feng, Juan Feng, Xiaoliang Shanghai Dianji University The School of Electrical Engineering China

ISBN: (纸本)9798350303698

Motor systems are usually monitored by multiple types of sensors to obtain multi-modal measurement data, which contains multiple complementary features. However, existing fault diagnosis methods are mainly based on single modal data set. In addition, fault diagnosis method based on multi-head attention mechanism has been paid increasing attention. And the mechanism has the advantage of extracting global information and parallel computing structure. But this structure has a large number of redundant parameters, which affect the speed of computational prediction and the storage space of the computer. In this paper, a novel multi-modal multi-head attention fault diagnosis method with decision fusion and parameter pruning is proposed to alleviate the above problems. Firstly, multiple sub-models based on multi-head attention mechanism with parameter pruning are trained by different modal data to obtain several fault predicted results. Then, these fault predicted results are fused to achieve more accurate fault diagnosis result. The experiment shows that the proposed method can achieve better performance compared with the models using single modal data. © 2023 IEEE.

关键词： Failure analysis

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Cloud Integration in the Educational Sector Using Amazon Web Services 3

Cloud Integration in the Educational Sector Using Amazon Web...

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3rd international conference on Advances in electrical, Computing, Communication and Sustainable Technologies, ICAECT 2023

作者： Dubey, Parul Tiwari, Arvind Kumar Dr. C v Raman University Department of Computer Science and Engineering Bilaspur India Dr. C v Raman University Department of Computer Science and Information Technology Bilaspur India

ISBN: (纸本)9781665494007

Web Services (AWS) is a prominent cloud service provider in the information technology industry. Businesses in the contemporary period may benefit from its propensity to develop and expand, as well as from its scalability and flexibility. However, it has not yet achieved widespread acceptance in the academic community. In this article, we will cover the fundamentals of AWS, such as interfacing with EC2 instances, and then compare the costs of deploying in the cloud vs on-premises. This will be useful in understanding why AWS is not more widely used in the academic community. The results of this comparison show that when the time frame of the demand is short and the number of individuals served is low, implementation on AWS is more cost-effective than on premises. When the quantity and duration of users in the education sector grow, the consequences change. © 2023 IEEE.

关键词： Web services

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Massive MIMO System For 5G Networks 3

Massive MIMO System For 5G Networks

引用

3rd international conference on computer Science, Electronic Information engineering and Intelligent Control technology, CEI 2023

作者： Deng, Zhaoqi Hou, Youyang Hefei University of Technology College of Electrical and Automation Engineering Hefei China School of Fujian Normal University College of Photonic and Electronic Engineering Fuzhou China

ISBN: (纸本)9798350372052

In convention MIMO (MIMO) systems, a combination of encoding and pre-coding is used. It has been shown, however, that Minimum Mean Square Error Precoding, Zero Forcing Precoding, and other low complexity linear pre-coding technologies are more useful in large-scale MIMO systems. This article gives a brief introduction to the relevant studies of 5G, mass MIMO, as well as an applied case. In this paper, the fundamental theory and MIMO technique of 5G are presented. Next, we will describe the fundamental theory and key techniques of large-scale MIMO, such as channel estimate, signal detecting and pre-coding. After proving the feasibility of using Massive MIMO in 5G systems, this function has been widely used in the field of wireless communication. The article then lists some practical examples of Massive MIMO, such as Nokia's production of a lightweight and energy-efficient chipset called the ReefShark chipset, which can reduce the size of massive MIMO antennas by half. © 2023 IEEE.

关键词： MIMO systems

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Comparative Study of Three-Phase Bridge Converter Voltage Control Techniques 3

Comparative Study of Three-Phase Bridge Converter Voltage Co...

引用

3rd international conference on electrical, computer and Communication engineering, ECCE 2023

作者： Hossain, Shah Mohazzem Rasel, Mohammad Amin, Fahmida Islam, Safkat Military Institute of Science and Technology Dept. of Electrical Electronic and Communication Engineering Dhaka1216 Bangladesh PowerChina Hubei Electric Engineering Corporation Dept. of High Voltage Substation Design and Quality Control Dhaka1200 Bangladesh Orient Energy Engineering Ltd Merul Badda East Gulshan Dept. of High Voltage Substation Design and Quality Control Dhaka1212 Bangladesh University of Grenoble Alpes Dept. of Electrical Engineering and Control Systems Grenoble France

ISBN: (纸本)9798350345360

Nowadays, voltage source converters are commonly used in renewable energy penetration and the smooth control of ac machines. Multiple strategies are followed in designing these converters. The primary purpose of the distinct design is to minimize the harmonic contents from the output waves of the converters and ensure maximum efficiency. In this paper, a three-phase bridge converter feeding a rectified dc input is interfaced with an RL load in the MATLAB/Simulink platform to compare the operational characteristics of these techniques. The total harmonic distortion is also analyzed in all these techniques to illustrate their performance in drive control. Moreover, the impact of varying dc-link voltage, load conditions, switching frequency and duty cycle on these techniques' operational char-acteristics and performances are investigated, primarily focusing on resulting harmonic contents evaluation. © 2023 IEEE.

关键词： Induction machine

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Classification of Lettuce Leaf Variants Using Transfer Learning 3

Classification of Lettuce Leaf Variants Using Transfer Learn...

引用

3rd international conference on Electronic and electrical engineering and Intelligent System, ICE3IS 2023

作者： Pratondo, Agus Novianty, Astri Fauzi, Hilman School of Applied Sciences Telkom University Department of Multimedia Engineering Bandung Indonesia School of Electrical Engineering Telkom University Department of Computer Engineering Bandung Indonesia School of Electrical Engineering Telkom University Bandung Indonesia

ISBN: (纸本)9798350327762

The classification of leaves is important for both plant identification and agricultural practices. In this study, we suggest a deep learning-based method for classifying different lettuce leaf varieties. The work uses pre-trained weights from ImageN et and focuses on two well-known deep learning architectures, VGG16 and Inception V3. For model training and evaluation, a dataset made up of several lettuce leaf variations was used. The performance of the model is evaluated using 10-cross-validation testing. The experiments showed that the Inception V3 model outperformed VGG16 with an accuracy of 98.0 percent, achieving the maximum accuracy of 98.0 percent. The collected results show that deep learning approaches can reliably categorize different lettuce leaf varieties, offering useful insights for managing lettuce crops. © 2023 IEEE.

关键词： Lettuce

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Comparative Study of Maximum-Power-Point Tracking with Multiplier-Based Step-Size Variation 3

Comparative Study of Maximum-Power-Point Tracking with Multi...

引用

3rd international conference on Electronic and electrical engineering and Intelligent System, ICE3IS 2023

作者： Jantharamin, Niphat Lousuwankun, Peeradech Naresuan University Faculty of Engineering Department of Electrical and Computer Engineering Phitsanulok Thailand

ISBN: (纸本)9798350327762

This research paper presents a rigorous investigation into photovoltaic (PV) power generation, focusing on the exploration of untapped potential within step-size variation techniques. In the dynamic context of fluctuating weather conditions, the incremental conductance (InC) algorithm is employed to guide the PV array working point towards the elusive maximum power point (MPP). Meticulous step-size adaptation accelerates the process of maximum-power-point tracking (MPPT), effectively circumventing limitations of conventional fixed step-size schemes by curbing undesirable oscillations around the MPP. The study delves into MPPT techniques, comparing steadfast fixed step-size multiplication with dynamic gradient-magnitude multiplication for PV array voltage perturbation. Extensive MPPT simulations unveil the superior performance of the gradient-magnitude multiplication technique, fueled by its continual step-size adaptation. The results are complemented by a comprehensive guideline for acceptable multiplier selection, showcasing the potential of these innovative methods in optimizing PV power generation. © 2023 IEEE.

关键词： Maximum power point trackers

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A Multi-Layer Video Layer Coding Algorithm Based on SVC in MF-TDMA Network 3

A Multi-Layer Video Layer Coding Algorithm Based on SVC in M...

引用

3rd international conference on computer Science, Electronic Information engineering and Intelligent Control technology, CEI 2023

作者： Fan, Xianxue Zhou, Xin Nanjing Research Institute of Electronics Engineering Nanjing China

ISBN: (纸本)9798350372052

Multi Frequency-Time Division Multiple Access (MF-TDMA) is a multiple access scheme that has widespread use in multimedia satellite networks. Scalable Video Coding (SVC) could support video data rates transmission adaption in different network environment. This paper describes the video flown in typical tree-topology, and analyzes the transmission bandwidth limitations. a multilayer video layer coding algorithm is proposed to adapt multilevel video conference. © 2023 IEEE.

关键词： Scalable video coding

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Phishing Attack Awareness Among College Students 3

Phishing Attack Awareness Among College Students

引用

3rd international conference on Electronic and electrical engineering and Intelligent System, ICE3IS 2023

作者： Kenneth, Alvin Hayashi, Bernard Bryan Lionardi, Jason Richie, Stevanus Achmad, Said Junior, Franz Adeta Nadia School of Computer Science Bina Nusantara University Cyber Security Program Computer Science Department Jakarta11480 Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350327762

Phishing is a form of cyber-attack that uses social engineering techniques to trick individuals into providing sensitive information or clicking on malicious links, often through email or text messages. Social engineering is the psychological manipulation of people into performing actions or disclosing sensitive information. In phishing, attackers use social engineering tactics such as creating a sense of urgency, posing as a trustworthy entity, and creating a sense of familiarity to manipulate the victim into taking the desired action. These attacks can have serious consequences, including financial loss and identity theft. In this research, we used an email phishing technique that asked respondents to change their password on an email account to find out awareness of phishing attacks on college students. The research results show that a small percentage of a certain amount of people are still unaware of phishing attacks and fell into the attacker's trap. Several respondents who are still deceived by social engineering using phishing emails indicate that it is necessary to conduct indoctrination and campaigns to raise the awareness of each student. © 2023 IEEE.

关键词： Electronic mail

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