2021 International Conference on Electronic Engineering (ICEEM)最新文献_第3页

Deep Learning Approach for Credit Card Fraud Detection 信用卡欺诈检测的深度学习方法

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480639

Aya Abd El Naby, Ezz El-Din Hemdan, A. El-Sayed

引用次数: 2

Forecasting of the American Digital Economy Using ARIMA Model 基于ARIMA模型的美国数字经济预测

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480641

A. N. K. Alfarra, Ahmed M. Hagag

引用次数: 0

Mobility Swapping Optimization with Location-Aware Fog Positioning Algorithm (LAFPA) 基于位置感知雾定位算法(LAFPA)的移动交换优化

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480651

Doaa Abo Hussien, Nirmeen A. El-Bahnasawy, A. El-Sisi, A. El-Sayed

{"title":"Mobility Swapping Optimization with Location-Aware Fog Positioning Algorithm (LAFPA)","authors":"Doaa Abo Hussien, Nirmeen A. El-Bahnasawy, A. El-Sisi, A. El-Sayed","doi":"10.1109/ICEEM52022.2021.9480651","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480651","url":null,"abstract":"Developing technologies such as the Internet of Things (IoT) is part of the elegant health care world that needs cognizant of latency computation for requests processing in authentic time. IoT system data created are typically handled via a cloud infrastructure due to on-call applications and the ability to scale the computing in the cloud model. However, processing IoT applications on a cloud-only basis is not an efficient suggestion for certain IoT applications, specifically health care appliances. Fog computing exists amid cloud and IoT appliances to fix this trouble. These fog systems are close to the users and are capable of data computing, flexible communication, and local storage rather than cloud storage. Fog provides faster response and higher quality services. Fog handling can therefore be deemed the ablest option to enable elegant health care IoT to enhance efficient and safe services to many IoT smart health care users. Mobility one of the crucial arguments in running IoT elegant health care applications in the fog computing world. Several studies have recently emerged to address device mobility in diversity from cutting-edge research areas, including fog computing and cloudlets. This paper proposes a comprehensive assessment from the literature on fog computing technologies in the arena of IoT healthcare techniques and mobility crucial argues. Besides a Location-Aware Fog Positioning Algorithm (LAFPA) that maintains the connection between the mobile end-user and the ideal fog node. It provides latency by 40% to 50% below the other algorithms of distribution suggested fog nodes, faster application response resources, and enhances system performance in real-time.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"36 23","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120814135","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

Energy Efficient Of Grid Clustering Based TEEN Protocol for Cognitive Radio Wireless Sensor Networks 基于网格聚类的认知无线传感器网络TEEN协议的能效研究

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480632

Yasmeen Zaied, W. Saad, M. Shokair

引用次数: 4

Hybrid-Shape Dielectric Resonator Antennas for Multiband Applications 多波段应用的混合形状介质谐振器天线

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480387

A. Yossry, Mamdouh El-Sayed, A. Yahia, Mostafa A. El-Aasser, Nasr Gad

引用次数: 1

Straight-Line: A new global path planning algorithm for Mobile Robot 直线:一种新的移动机器人全局路径规划算法

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480376

Aida A. Nasr, Nirmeen A. El-Bahnasawy, A. El-Sayed

引用次数: 3

An Efficient Intrusion Detection System for SDN using Convolutional Neural Network 基于卷积神经网络的SDN入侵检测系统

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480383

Heba Hassan, E. E. Hemdan, W. El-shafai, M. Shokair, F. El-Samie

引用次数: 3

Video Integrity Verification based on Blockchain 基于区块链的视频完整性验证

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480653

Randa Kamal, E. E. Hemdan, N. El-Fishway

{"title":"Video Integrity Verification based on Blockchain","authors":"Randa Kamal, E. E. Hemdan, N. El-Fishway","doi":"10.1109/ICEEM52022.2021.9480653","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480653","url":null,"abstract":"with the existence of the new revolution of software techniques, tampering with the videos became easier than ever. For retaining the integrity of the captured scenes, novel methods are required. Blockchain is now one of the most interesting integrity verification techniques. Blockchain provides trust among the participant nodes; \"users\" without the need of a trusted third party. In this paper, we propose a new blockchain-based framework for integrity verification of videos. In the proposed framework, the scene is captured and hashed in its original state and the captured frame; \"video frame\" is stored as a reference frame. The hash value, frame name, and timestamp of the capturing time are stored in a CSV file. The genesis block of a permissioned blockchain is created with this data. Other frames are captured for the same scene every predefined period and hashed. If the new hash value is identical to the reference hash, then the new frame is deleted to preserve storage space, and the metadata of the frame is stored in the same CSV file. If the hash values are not identical, then the name of the frame is changed to the timestamp of the capturing time, the frame then is propagated to all participant nodes, an email is sent to a predefined mail to take the appropriate action, and finally, a new block will be created with the new metadata. The proposed system ensures the integrity of the captured videos, ease to use and robustness.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"19 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":"125786601","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

A Comparative analysis of MQTT and IoT application protocols MQTT和IoT应用协议的比较分析

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480384

Marwa O Al Enany, H. Harb, G. Attiya

引用次数: 13

COVID-19 Diagnosis Using X-ray Images Based on Convolutional Neural Networks 基于卷积神经网络的新冠肺炎x射线图像诊断

2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480659

Wafaa A. Shalaby, W. Saad, M. Shokair, M. Dessouky, F. E. El-Samie

{"title":"COVID-19 Diagnosis Using X-ray Images Based on Convolutional Neural Networks","authors":"Wafaa A. Shalaby, W. Saad, M. Shokair, M. Dessouky, F. E. El-Samie","doi":"10.1109/ICEEM52022.2021.9480659","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480659","url":null,"abstract":"Coronavirus (COVID-19) is considered as a viral disease that is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Spreading of COVID-19 will continue to affect health and economics. Chest X-ray and CT imaging techniques are crucial for infected patients in the battle with COVID-19. Recently, Convolutional Neural Network has been considered as a type of deep learning tools, and it can be used for detecting diseases such as COVID-19. This paper introduces an efficient architecture for COVID-19 diagnosis from an X-ray dataset. The proposed architecture starts with image pre-processing using lung segmentation and image resizing. Deep feature extraction is performed using the proposed CNN model and different pre-trained models. The classification process is performed using either a Support Vector Machine (SVM) or a Softmax classifier. Simulation results prove that the proposed model can classify COVID-19 images with high accuracies of 98.7% and 98.5% for SVM and Softmax classifiers, respectively. The performance metrics are the processing time, system complexity, accuracy, sensitivity, confusion matrix, F1 score, precision, Receiver Operating Characteristic (ROC) curve, and specificity.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"7 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":"130075922","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