2021 International Conference on Electronic Engineering (ICEEM)最新文献_第4页

On Construction Mutually Orthogonal Disjoint Unions of Small Certain Trees Graph Squares 小定树图方相互正交不相交并的构造

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480661

R. El-Shanawany, A. El-Rokh, S. Nada, E. Sallam

引用次数: 0

Empowering GIS with Big Data: A review of recent advances 利用大数据增强地理信息系统:最新进展综述

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480634

Ebtsam Elsahlamy, Abeer Eshra, N. Eshra, N. El-Fishawy

引用次数: 0

Performance Analysis of Adaptive Channel Estimation for Wireless Optical Communication Systems 无线光通信系统自适应信道估计的性能分析

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480626

Lamiaa A. Abd-Elgawad, Ibrahim M. Eldokany, El-Sayed M. El-Rabaie, Yara Abd-Elazim, G. Elabyad, M. Dessouky, Gamal A. Hussein, A. Shalaby, F. A. Abd El-Samie

引用次数: 0

Deep Learning Based Hybrid Precoding Technique for Millimeter-Wave Massive MIMO Systems 基于深度学习的毫米波海量MIMO系统混合预编码技术

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480386

Islam Osama, M. Rihan, M. Elhefnawy, S. Eldolil

{"title":"Deep Learning Based Hybrid Precoding Technique for Millimeter-Wave Massive MIMO Systems","authors":"Islam Osama, M. Rihan, M. Elhefnawy, S. Eldolil","doi":"10.1109/ICEEM52022.2021.9480386","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480386","url":null,"abstract":"Communications over millimeter-wave (mm-Wave) frequencies are considered as a new revolution of wireless communications, specifically with the official launching of 5G. Typically, mm-Wave with massive multiple-input multiple-output (MIMO) can be implemented by using the hybrid beamforming transceivers that consists of massive number of analog phase shifters and smaller number of RF chains. The power consumption and cost are reduced when the hybrid beamforming architecture is implemented by combining the digital and analog beamforming. The main motivation for this paper is to introduce a deep learning-based hybrid beamforming design to join optimization of the precoder and combiner in massive MIMO mm-Wave communication systems. Specifically, the joint optimization of the precoder and combiner is carried out by means of two convolutional neural networks (CNN) and through going into two stages of operation, namely training and prediction stages. The MATLAB simulation results show that the deep learning-based hybrid beamforming approach for the mm-Wave massive MIMO outperforms the legacy optimization-based hybrid beamforming approaches in terms of spectrum efficiency.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127010030","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: 3

Improving FWHM and Extraction Efficiency of RGB OLEDs with MQW Structure 提高MQW结构RGB oled的FWHM和提取效率

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480379

Shaimaa Gamal, Tawfik Ismail, I. Talkhan

{"title":"Improving FWHM and Extraction Efficiency of RGB OLEDs with MQW Structure","authors":"Shaimaa Gamal, Tawfik Ismail, I. Talkhan","doi":"10.1109/ICEEM52022.2021.9480379","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480379","url":null,"abstract":"In this paper, RGB organic light-emitting diodes are developed using a multiple quantum well (MQW) structure to improve the average percentage between the far-field power and the dipole source power which is known as the Extraction Efficiency (EE), and the full-width half-maximum (FWHM). Then the proposed structure is compared with a conventional OLED structure. Red ph-OLED QW, in which 4-(dicyanomethylene)-2-(t-butyl)-6-methyl-4H-pyran(DCJTB) doped (8-hydroxyquinoline) aluminum (Alq3) as emitting layer (EML) and N, N′-Di(1-naphthyl)-N, N′-diphenyl-(1,1 ′-biphenyl)-4,4′-diamine (NPB) is used as a hole transport layer (HTL) and interlayer [DCJTB doped Alq3/NPB/ DCJTB doped Alq3]n, Green ph-OLED, in which the 4,4′-bis(Ncarbazolyl)-1,1′-biphenyl (CBP) and tris[2-phenylpyridinatoC2, N]iridium(III) [Ir(ppy)3] are used as the emission layer and N, N′-Di(1-naphthyl)-N, N′-diphenyl-(1,1′-biphenyl)-4,4′-diamine (NPB) are used as a hole transport layer (HTL) and interlayer [CBP: Ir(ppy)3/ TCTA/ CBP: Ir(ppy)3]n and Blue ph-OLED (8-hydroxyquinoline) aluminum (Alq3) and N, N0-diphenyl-N, N0-bis(3-methylphenyl)-1,10-biphenyl-4,40-diamine) (TPD) are used as a hole transport layer (HTL) and interlayer [Alq3/TPD/Alq3]n, n is the well number, which can range from 0 to 6. MQW solved the main problem in the RGB OLEDs: the holes mobility and electrons mobility, which are not the same. Consequently, it leads to the loss and reduction of the Extraction Efficiency (EE). Then, there is a comparison between the output EE before and after applying the MQW on the RGB OLED structures, using the Lumerical Finite Difference Time Domain (FDTD) simulation.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117168198","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

Heart-Disease Prediction Method Using Random Forest and Genetic Algorithms 基于随机森林和遗传算法的心脏病预测方法

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480625

Mohamed G. El-Shafiey, Ahmed M. Hagag, E. El-Dahshan, Manal A. Ismail

引用次数: 0

Power Quality Improvement for Electric Vehicle Using Hybrid Active Power Filter 利用混合有源滤波器改善电动汽车电能质量

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480619

D. Gado, A. A. Abou El-Ela, Sahar A. Moussa

引用次数: 0

Construction of the enormous complete bipartite graphs and orthogonal double covers based on the Cartesian product 基于笛卡尔积的巨大完全二部图和正交双盖的构造

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480620

A. El-Mesady, T. Farahat, R. El-Shanawany

引用次数: 0

Anomaly Detection System for Retinal Images Based on Area Classifier 基于区域分类器的视网膜图像异常检测系统

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480630

M. A. Amer, M. Rihan, S. El-Agooz, Noha A. El-Hag, W. El-shafai, F. El-Samie, A. Khalaf, Ghada M. El-Banby, M. Abdelhamed

引用次数: 0

An Efficient Algorithm for Cancelable Biometric Recognition Based on Noise Magnification 一种基于噪声放大的可消除生物特征识别算法

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480644

Abd El-Rahman Farouk Al-Libady, Huda Ibrahim mohamed Ashiba, Ghada M. El banby, A. El-Fishawy, M. Dessouky, F. A. Abd El-Samie, El-Sayed M. El-Rabaie

{"title":"An Efficient Algorithm for Cancelable Biometric Recognition Based on Noise Magnification","authors":"Abd El-Rahman Farouk Al-Libady, Huda Ibrahim mohamed Ashiba, Ghada M. El banby, A. El-Fishawy, M. Dessouky, F. A. Abd El-Samie, El-Sayed M. El-Rabaie","doi":"10.1109/ICEEM52022.2021.9480644","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480644","url":null,"abstract":"More recently, biometric systems have spread for modern security applications. Unfortunately, these systems have experienced several attempts of hacking. If biometric databases are compromised and stolen, biometrics in these databases will be lost forever. Consequently, there is an immediate need to introduce new upgradable biometric systems. The concept behind cancelable biometrics is to convert biometric data to alternative templates, which cannot be easily used by the impostor or intruder, and can be eliminated if breached. In this paper, the inverse filter is utilized in a cancelable face recognition system. In this system, masked biometric images are generated by blurring, noise addition and then inverse filtering. It is well-known in the image processing theory that inverse filtering leads to noise enhancement, which is an undesired effect in image restoration. In contrary, this effect will be desired in cancelable biometric systems. If the noise is magnified with an appropriate extent, it can mask the original biometrics leading to cancelable templates. This is the theory behind the proposed system. The proposed system is applied on the Olivetti and Oracle (ORL) dataset. Simulation results using evaluation metrics such as non-invertibility, unlinkability, visual inspection, False Positive Rate (FPR), False Negative Rate (FNR), Equal Error Rate (EER), Decidability, correlation coefficient, Area under the Receiver Operating Characteristic (AROC) curve demonstrate that the proposed system is resistant to intruders and hackers. Hence, it is efficient for several security applications.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116318481","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