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2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)最新文献

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A real time Implementation of Four Vectors-Space Vector Modulation for Five Phase Indirect Matrix Converter using a low cost microcontroller 利用低成本微控制器实时实现五相间接矩阵变换器的四矢量-空间矢量调制
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093737
Sabri Sekhri, A. Benachour, H. E. Guessar, M. L. Badaoui, E. M. Barkouk, M. Mahmoudi
{"title":"A real time Implementation of Four Vectors-Space Vector Modulation for Five Phase Indirect Matrix Converter using a low cost microcontroller","authors":"Sabri Sekhri, A. Benachour, H. E. Guessar, M. L. Badaoui, E. M. Barkouk, M. Mahmoudi","doi":"10.1109/ICATEEE57445.2022.10093737","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093737","url":null,"abstract":"this work is a study, implementation and experimental validation of Space Vector Modulation technique using four Vectors (4V-SVM) applied to the Five-Phase Indirect Matrix Converter (5P-IMC) which is an AC-AC converter allowing five phase sinusoidal output generation with the aim to ensure the input power factor control. The applied technique algorithm is presented in a simple methodological approach, simulated on Matlab/PowerSim and implemented using a low cost micro-controller (STM32Discovery). This study deals with the output performance in terms of Total Harmonic Distortion (THD), low order harmonics and adjustment curves. A prototype of 5P-IMC feeding an R load, is used to confirm simulation results. The implementation was successfully experimented without having undesirable low order harmonics, and the possibility of the generation of unity power factor has been guaranteed.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129384612","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
Efficient Transfer Learning for COVID-19 Diagnosis using X-Ray and Computed Tomography Images 基于x射线和计算机断层扫描图像的COVID-19诊断高效迁移学习
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093757
Meryem Ketfi, M. Belahcene, S. Bourennane
{"title":"Efficient Transfer Learning for COVID-19 Diagnosis using X-Ray and Computed Tomography Images","authors":"Meryem Ketfi, M. Belahcene, S. Bourennane","doi":"10.1109/ICATEEE57445.2022.10093757","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093757","url":null,"abstract":"In this work, we aim to find an effective model to diagnose COVID-19 by using a Transfer Learning (TL) model. The purpose is to classify COVID-19 infected persons from chest X-Ray (XR) and Computed Tomography (CT) images. Several Transfer Learning models have been studied to find the most efficient and effective among them. The proposed approach is based on Tensorflow and the architecture uses the MobileNet_V2 model. The datasets that are used in this study are publicly available. In order to train and evaluate our proposed model, we collected the CT scans dataset of 8000 images with two classes of infected and normal lungs, and the XR dataset contains 616 images. Two experiments are conducted with samples of different sizes to evaluate the model using google colab. The results revealed that the performance of our model MobileNet_V2 is highest with validation accuracy for XR and CT scans images: Val_AccuracyXR =96.77% and Val_AccuracyCT =99.67%, and test time for XR and CT scans images: tXR =0.18s, tCT=0.03s respectively.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126934008","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
Vehicle license plate detection using morphological operations and deep learning 基于形态学操作和深度学习的车牌检测
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093752
Nabil Hezil, A. Amrouche, Youssouf Bentrcia
{"title":"Vehicle license plate detection using morphological operations and deep learning","authors":"Nabil Hezil, A. Amrouche, Youssouf Bentrcia","doi":"10.1109/ICATEEE57445.2022.10093752","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093752","url":null,"abstract":"Vehicle License Plate Detection (VLPD) is the most critical stage of any vehicle License Plate Recognition (LPR) system because it has a direct impact on its robustness and accuracy. As a result, VLPD remains a difficult task because vehicle license plates (VLP) vary in size, axes, orientation, and may be occluded or have their locations changed. In this paper, we present our framework for an image-based VLPD system based on morphological information and deep learning. To address this issue, we created a new \"YellowLP\" dataset with 1050 images of unique and different rear VLP numbers. Pecision, recall, and overall accuracy of the morphological results are 98.65%, 97.90%, and 96.61%, respectively, with a detection rate of 97.90%. Deep learning increases the recall and overall accuracy of the proposed approach to 100% and 98.65%, respectively. As an outcome, the proposed method produced acceptable results.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127107700","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: 2
Heat transfer in annular enclosure filled with nanofluid 纳米流体填充环形外壳的传热研究
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093733
S. Benkherbache
{"title":"Heat transfer in annular enclosure filled with nanofluid","authors":"S. Benkherbache","doi":"10.1109/ICATEEE57445.2022.10093733","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093733","url":null,"abstract":"In this paper, we present a numerical study of natural convection heat transfer in annular enclosure packed with nanofluid. The inner diameter is equiped with two symetrical fins, and subjected to volumetric heat generation while the outer cylinder is kept adiabatic. The finite volume method is used to solve the governing equations , such as the continuity , mass and energy equations by the use of the Fluent 6.3.26 software.The effect of the size of the nanoparticles on the rate of heat transfer is carried out and investigated. The study has been conducted considering two nanofluids of based water with Al2O3 and TiO2 nanoparticles for a solid volume fraction (0≤ ϕ ≤ 0.09) and nanoparticles diameter of (5nm ,20nm and 80nm) at Rayleigh number Ra=12000. Results have shown that adding nanoparticles in the base fluid have produced an increasing of the rate of heat transfer. The nanofluid water/Al2O3 gives better heat transfer enhancement at small particles diameter than the nanofluid Water/TiO2.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122468923","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
Fault Detection Algorithm for Three-Level DC–DC Converter in a Photovoltaic System 光伏系统三电平DC-DC变换器故障检测算法
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093723
Bilal Boudjellal, T. Benslimane
{"title":"Fault Detection Algorithm for Three-Level DC–DC Converter in a Photovoltaic System","authors":"Bilal Boudjellal, T. Benslimane","doi":"10.1109/ICATEEE57445.2022.10093723","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093723","url":null,"abstract":"This paper presents an open-switch fault detection algorithm for a three-level DC–DC boost converter in a photovoltaic system. Three-level DC–DC converter and its various derivatives are popular topologies in high-voltage, high-power converter applications. To ensure service continuity, a reliable fault diagnostic algorithm and a fault tolerant strategy are strongly mandatory. The fault diagnostic method does not necessitate any additional sensors and relies on the input current waveform and the necessary control variables for maximum power point tracking. The fault tolerant strategy is realized by including redundant switches to the converter to assurance continuity of service. The proposed fault detection algorithm is validated under different scenarios by the obtained results.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133956712","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
CNN and M-SLIC Superpixels Feature Fusion for VHR Image Classification CNN和M-SLIC超像素特征融合用于VHR图像分类
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093756
Belkis Asma Semcheddine, A. Daamouche
{"title":"CNN and M-SLIC Superpixels Feature Fusion for VHR Image Classification","authors":"Belkis Asma Semcheddine, A. Daamouche","doi":"10.1109/ICATEEE57445.2022.10093756","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093756","url":null,"abstract":"In this letter, we present a method for fusing handcrafted features with abstract features for the purpose of VHR remote sensing image classification. The proposed strategy allows for a multi-level feature fusion, which enriches the available spectral data, resulting in a better class separability. In a first step, deep features are extracted using Convolutional Neural Networks. These features are then fused with Haralick features drawn out by means of M-SLIC superpixels segmentation. The combined features are then concatenated with the spectral features of the image and classified using Support Vector Machines. Our experiments were conducted on a VHR satellite image, and the obtained results qualify us to validate the superiority of the suggested scheme (over 16% overall classification accuracy improvement).","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132504651","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
New liquid sensor based on one-dimensional phononic crystal 基于一维声子晶体的新型液体传感器
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093698
Zakaria Zoubiri, A. Kahlouche, M. Bouras
{"title":"New liquid sensor based on one-dimensional phononic crystal","authors":"Zakaria Zoubiri, A. Kahlouche, M. Bouras","doi":"10.1109/ICATEEE57445.2022.10093698","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093698","url":null,"abstract":"Phononic band gaps structures are periodic composite materials whose elastic properties are modulated spatially. Indeed, multilayer structures provide a new class of sensors. When these structures are used as sensors, their behavior to ultrasound waves depends on the variations of the liquid parameters. These changes can be detected by measuring an isolated transmission peak inside the band gap. Throughout this paper, we perform a theoretical study of a 1Dphononic crystal which formed by stacking of N bi-layers of Steel/PVC. Using transfer matrix method (TMM), the results clearly demonstrates that the calculated transmission peak resonant frequency appears highly sensitive to the nature and properties of the liquid. This shows that similar structures provide a novel platform for liquid sensors.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126895971","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
Detection of Malicious Nodes in WBAN using a Feed Forward Back Propagation Neural Network 基于前馈-反向传播神经网络的无线宽带网络恶意节点检测
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093101
Mohamed Abdessamad Goumidi, N. Hadj-Said, A. Ali-Pacha, E. Zigh
{"title":"Detection of Malicious Nodes in WBAN using a Feed Forward Back Propagation Neural Network","authors":"Mohamed Abdessamad Goumidi, N. Hadj-Said, A. Ali-Pacha, E. Zigh","doi":"10.1109/ICATEEE57445.2022.10093101","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093101","url":null,"abstract":"Wireless Body Area Network (WBAN) is an emerging solution for local and distant health care, however the openness of wireless environment and the importance of people’s physiological data cause the exposure of this network to many attacks. Where, the attack of black-hole is among the most dangerous one. We have proposed in this paper a Feed Forward Back-Propagation Neural Network based method to detect malicious sensor nodes caused by the black hole attack in WBAN environment. For that, probabilistic features are extracted from each individual sensor node and a distance metric is calculated to classify sensor nodes. The WBAN performances in terms of delay, data rate and packets delivery ratio are calculated in order to measure and to evaluate the impact of illegitimate sensor nodes attacks. Moreover, the comparison of the proposed method to some recent similar state of the art methods shows its superiority in all the terms of evaluation metrics.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127005505","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
Outdoor PV Module Characterization and Sandia Model Calibration in Local Climate 当地气候条件下户外光伏组件特性与桑迪亚模型标定
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093701
F. Hadjrioua, N. Belhaouas, A. Aissaoui, F. Mehareb, K. Bakria
{"title":"Outdoor PV Module Characterization and Sandia Model Calibration in Local Climate","authors":"F. Hadjrioua, N. Belhaouas, A. Aissaoui, F. Mehareb, K. Bakria","doi":"10.1109/ICATEEE57445.2022.10093701","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093701","url":null,"abstract":"The photovoltaic (PV) system earn more importance in the last decade in view to respond the high needs in terms of electrical energy, especially in isolated region such as the case of in Algeria. The rapidly performance degradation is a challenge for the choice and dimensioning of panels in the Mediterranean climate or desert climate. However, mitigating the degradation performance of the PV system under working climate still one of the important challenging problem that many researchers are working on it. In which. However, the PV module manufacturers show only in the nameplate with only essential PV electrical parameters under standard testing conditions (STC), Several studies have been made to assess the degree of degradation of PV modules in different climates in Algeria using different methods, either physical or semi-empirical methods. This paper are mainly based on the measurement of outdoor PV parameters of PV module and evaluating its performance in different ranges of solar radiation and temperature after adapting an electro thermal analytical model to fit our measurements. The evaluation of the PV module parameters by the outdoor experimental procedure demonstrate that very accurate measurements are possible using an outdoor PV characterization system and reflects well the performance. For a good understanding of the behavior of outdoor modules, the results of this method can be important for PV module manufacturers and researchers.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"354 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122853989","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
An Analysis of SISO Channel Estimation based on DDST 基于DDST的SISO信道估计分析
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093700
Hanane Meriem Toaba, M. Addad, A. Djebbari
{"title":"An Analysis of SISO Channel Estimation based on DDST","authors":"Hanane Meriem Toaba, M. Addad, A. Djebbari","doi":"10.1109/ICATEEE57445.2022.10093700","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093700","url":null,"abstract":"In a recent study, the authors evaluated the performance of channel estimation using Superimposed Training (ST) in a Single-Input Single-Output (SISO) communication system. It was shown that optimal performance could be obtained if the training sequence is balanced and has a specific correlation property. One drawback of the ST method is that the data sequence interferes with the channel estimation process and degrade its performance. In this paper, we generalize our approach to Data Dependent Superimposed Training (DDST) where a data-dependent sequence is also added to the data sequence, thus eliminating the effects of the latter sequence on channel estimation.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124916432","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
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