2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)最新文献_第3页

Crypto-Ransomware Detection Using Selective Hashing 使用选择性哈希的加密勒索软件检测

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990424

Anas AlMajali, Ahmad Qaffaf, Natali Alkayid, Y. Wadhawan

引用次数: 2

Hardware/Software Co-acceleration of Progressive Learning under Feature Dimension Variation 特征维数变化下渐进式学习的软硬件协同加速

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990202

R. Karn, I. Elfadel

引用次数: 0

Analytical Study of the Application of the Amorphous Core Material 2605HB1M to Reduce Core Loss in Electromagnetic Induction Motors 非晶磁芯材料2605HB1M在电磁感应电机中降低磁芯损耗的分析研究

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990362

Rayan Ajeeb, M. Madi, Olav Aaker, Efstratios Ntantis, Mahmood Sawadi Rahi

{"title":"Analytical Study of the Application of the Amorphous Core Material 2605HB1M to Reduce Core Loss in Electromagnetic Induction Motors","authors":"Rayan Ajeeb, M. Madi, Olav Aaker, Efstratios Ntantis, Mahmood Sawadi Rahi","doi":"10.1109/ICECTA57148.2022.9990362","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990362","url":null,"abstract":"Due to their durable and simple manufacturing, three-phase electromagnetic induction motors presently provide even more than 90% of the mechanical power for use in industry. Many researchers have used artificial intelligence (AI) approaches to optimize electromagnetic induction motor design (TDO) and analyze performance. There are numerous methods for increasing efficiency and decreasing losses in these devices. Electromagnetic iron losses, that originate mostly within stator teeth and yoke along with the rotor yoke, are a critical element. For the convenience of modeling, electromagnetic iron losses are investigated on a 3-phase transformer rather than an electromagnetic induction motor since they both operate on electromagnetic induction and their core losses follow the same fundamental principles. This evaluation was carried out utilizing finite element methodologies with Ansys electronics desktop. A developed computational transformer model that delivers reliable data with high accuracy was proposed. The performance of the computational model was determined to match well with experimental data for a transformer with the same specifications and dimensions found in the labs of Østfold University-Collage Norway. Using the achieved computational model configuration on the Ansys electronics desktop, the core loss and efficiency of an electromagnetic induction transformer for Metglas-2605HBIM amorphous core transformer and M19 silicon steel core transformer at high and low frequencies were then examined and compared. According to the results, when used in electromagnetic induction transformers, amorphous core transformers have lower core losses, higher efficiency, and superior performance than traditional M19 silicon steel core transformers.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"337 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132572564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Feedback Linearizing Speed Control Strategy for Electric Vehicle Traction Motor drives 电动汽车牵引电机驱动的反馈线性化速度控制策略

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990368

A. Prasanthi, H. Shareef, R. Errouissi, M. Asna

{"title":"Feedback Linearizing Speed Control Strategy for Electric Vehicle Traction Motor drives","authors":"A. Prasanthi, H. Shareef, R. Errouissi, M. Asna","doi":"10.1109/ICECTA57148.2022.9990368","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990368","url":null,"abstract":"Electric vehicles (EV) are the solution that can provide a sustainable transportation alternative to reduce carbon footprints. The design of a battery-powered DC traction motor system for an electric vehicle is presented in this study. The proposed EV system consists of a battery energy source, bidirectional DC-DC converter, and traction motor. The accurate mathematical modelling of the PI-controlled bi-directional DC-DC converter is incorporated in this work to provide the desired voltage at the motor side and to maintain the power flow under steady-state and dynamic conditions. In view of the demand of explicit speed control attribute of the EV and non-linear characteristics of traction motor with overall system unpredictable disturbances, this paper also illustrates the design and modelling of feedback linearizing control with disturbance observer for the speed control of traction motor. The MATLAB/Simulink simulation model of the proposed system is developed to examine the performance of the proposed system under various operating conditions. The simulation is performed with calculated load torque with the exact velocity and acceleration rate at the traction motor which represents the exact EV dynamics. The simulation results indicate that the designed battery-powered EV with the proposed non-linear controller can follow the speed and load torque thoroughly.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"402 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132033603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

UAV-to-UAV Communication Scheme for Enabling Emergency Services During Network Failure 在网络故障时启用应急服务的无人机对无人机通信方案

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990222

A. Alnoman

{"title":"UAV-to-UAV Communication Scheme for Enabling Emergency Services During Network Failure","authors":"A. Alnoman","doi":"10.1109/ICECTA57148.2022.9990222","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990222","url":null,"abstract":"In this paper, a communication scheme is proposed to enable emergency services during extraordinary circumstances by allowing first responders to connect with mobile users when the cellular network fails to provide radio coverage. The proposed scheme is based on the device-to-device (D2D) communication where devices can communicate directly without involving the cellular network. In particular, unmanned aerial vehicles (UAVs) communicate in a D2D manner to form a grid of relays that provide radio access for affected users. The work aims to minimize the total delay of the multi-hop UAV-to-UAV communication path from the requesting user which is covered by one UAV to the emergency service provider that is covered by another UAV. Here, since each UAV is providing radio access to a number of mobile users, each UAV is modeled as an M/M/1 queueing system where the response time of the UAV is considered the cost of the path to that UAV. The problem of finding the minimum response time is then solved using the Dijkstra’s shortest path algorithm. Results show the effectiveness of the proposed scheme in reducing the time required to establish the multi-hop path from the mobile user to the emergency service provider.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"518 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123040740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Disturbance-Observer Based control for PWM Rectifiers Under Unbalanced Grid Conditions 不平衡电网条件下基于扰动观测器的PWM整流器控制

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990407

Mohammed Al Razehi, R. Errouissi, Mahdi Debouza, H. Shareef

{"title":"Disturbance-Observer Based control for PWM Rectifiers Under Unbalanced Grid Conditions","authors":"Mohammed Al Razehi, R. Errouissi, Mahdi Debouza, H. Shareef","doi":"10.1109/ICECTA57148.2022.9990407","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990407","url":null,"abstract":"This paper presents the design and experimental validation of a current control technique for Pulse-width modulated (PWM) rectifiers under both balanced and unbalanced grid voltages. In particular, unbalanced grid voltages can cause double fundamental frequency oscillations in the DC-link voltage. These DC-link voltage oscillations can be removed by setting the grid current to accurately track a specific current reference. In this paper, the proposed controller utilizes a cascaded control scheme comprising of an outer voltage loop and an inner current loop. The outer loop controller is designed to generate the specific current reference needed to maintain the DC-link voltage constant and at its reference. The inner current loop consists of a state-feedback controller coupled with a disturbance observer to ensure accurate tracking of the current reference. The current controller is designed in the $alphabeta$ reference to ensure accurate regulation of both balanced and unbalanced grid currents needed to suppress the DC-link voltage oscillations. To validate the effectiveness of the proposed controller, experimental tests were conducted and showcased that the control scheme is able to achieve the desired control objectives with excellent results.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127806814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Customized Convolutional Neural Network for Dental Bitewing Images Segmentation 牙咬翼图像分割的自定义卷积神经网络

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990564

W. A. Nassan, T. Bonny, K. Obaideen, A. Hammal

{"title":"A Customized Convolutional Neural Network for Dental Bitewing Images Segmentation","authors":"W. A. Nassan, T. Bonny, K. Obaideen, A. Hammal","doi":"10.1109/ICECTA57148.2022.9990564","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990564","url":null,"abstract":"Bitewing images are useful for recognizing the most common dental diseases, like tooth decay and periodontal bone loss. Besides providing important details like the condition of fillings and the presence of calculus or tartar. Due to the wide variety of topologies, the complexity of medical structures, and the poor image quality caused by problems like low contrast, noise, irregularities, and fuzzy edges borders, segmentation of dental images is difficult and often unsuccessful. Recent advances in deep learning models improve the performance of analyzing dental images. In this study, we build a customized Convolutional neural network (CNN) to segment the bitewing image. The bitewing radiographs, which will be used as input to the CNN model, are imported into MATLAB where the image is first enhanced before being segmented to create a binary mask image that excludes the background from the original images. Those masks are used as a target for the deep learning model. By training the proposed system with 456 bitewing images, the best accuracy we achieved on unseen images is 97.3% of accuracy, 88.27% of Fl-score.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116702221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Improvement of the energy consumption of the IoT/M2M communication system embedded in pirogues on the West African coast 改善西非海岸pirogues嵌入式物联网/M2M通信系统的能耗

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990289

Boudal Niang, Ismaila Diakhate, A. Kora, R. M. Faye, Cheikh Saliou Mbacke Babou

{"title":"Improvement of the energy consumption of the IoT/M2M communication system embedded in pirogues on the West African coast","authors":"Boudal Niang, Ismaila Diakhate, A. Kora, R. M. Faye, Cheikh Saliou Mbacke Babou","doi":"10.1109/ICECTA57148.2022.9990289","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990289","url":null,"abstract":"The uses of telecommunications and information technologies (ICT) are changing the daily lives of millions of Africans. The investigation exercises are centered on the vitality utilization of the framework of observing, observation, and security of the little conventional pirogue utilized by anglers whereas permitting way better administration of sea assets. The solution of energy-efficient is based on a low-cost integrated device using mobile technology for the data transfer network. Otherwise, the aim of this paper is to bring energy improvements to the solution “Tracking, Safety of the Small Pirogue and Monitoring of Ocean Natural Resource in West Africa Coast”. The firefly algorithm is used to cluster the pirogues and the Dijkstra algorithm for the feedback of information to the Senegalese coast guard. To begin with, the vitality commitment of this arrangement will be compared with LEACH, TEEN, and DEEC optimization strategies. This comparison appeared that on more than 10000 transmission towers the proposed strategy appears way better execution compared to other strategies in terms of vitality expended and amount of data transported within the pirogues network. Moment, the arrangement will be compared with other angling arrangements in terms of control, programmed distinguishing proof, security, reasonableness, and energy autonomy.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124106687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental Investigations for Performance Improvement of Solar Cell using Phase Change Material 相变材料改善太阳能电池性能的实验研究

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990227

Iftikhar Ahmad, Abdulla Bushlaibi, A. Abdelrhman, S. A. Imam, Mahmood Hammad, R. Muhammad

引用次数: 0

Machine Learning Models for Salary Prediction Dataset using Python 使用Python的工资预测数据集的机器学习模型

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990316

Reham Kablaoui, A. Salman

引用次数: 0