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2021 International Conference on Electronic Engineering (ICEEM)最新文献

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Smart Water Quality Analysis using IoT and Big Data Analytics: A Review 基于物联网和大数据分析的智能水质分析综述
2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480628
E. E. Hemdan, Youssef M. Essa, A. El-Sayed, M. Shouman, Abdullah N. Moustafa
{"title":"Smart Water Quality Analysis using IoT and Big Data Analytics: A Review","authors":"E. E. Hemdan, Youssef M. Essa, A. El-Sayed, M. Shouman, Abdullah N. Moustafa","doi":"10.1109/ICEEM52022.2021.9480628","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480628","url":null,"abstract":"In recent times, water quality monitoring, observing, and testing have become a significant research study with the advancement on the Internet of Things, and Big Data analytics research ideas. The relationship between water demand and supply is very crucial for every country and is likewise a complex challenge to satisfy this requirement around the world. Water is compulsory for human survival being on the earth. Therefore, for survival, the preservation and taking care of the existing water resource are also equally substantial. Moreover, for a healthier society, access to clean and safe water resources is also imperative. To recognize the water quality effects and provide an automated water quality mentoring and a testing system can support in guaranteeing the safety of the water. This paper presents a study on water quality analysis using IoT and Big Data analytics. This can help in developing an agile environment that can handle the massive flow of water big data generated by the smart sensors spread everywhere around us.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"13 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":"128555944","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
Printed Monopole Antenna Design with Parasitic Element for Multi-band Applications 多波段应用的寄生元件印刷单极天线设计
2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480643
Mamdouh El-Sayed, A. Yossry, A. Yahia, Mostafa El-Easser, Nasr Gad
{"title":"Printed Monopole Antenna Design with Parasitic Element for Multi-band Applications","authors":"Mamdouh El-Sayed, A. Yossry, A. Yahia, Mostafa El-Easser, Nasr Gad","doi":"10.1109/ICEEM52022.2021.9480643","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480643","url":null,"abstract":"A planar monopole antenna designed for multi-band applications which can cover the sub-6 GHz (3.8 – 7.91 GHz), wireless local area network WLAN (5.2 and 5.8 GHz), ku-band (12.59 – 13.92 GHz), k-band, 5G (19.9 – 27 GHz) and ka-band, 5G (34 – 38.49 GHz), frequency bands. The antenna is composed of a rectangular strip monopole in addition to the C-shaped parasitic element. The designed antenna is printed on a partial ground plane. In addition to the excitation of the extra bands of operation, the parasitic element also improves the bandwidth of the operating frequencies. The simulation results revealed that the proposed antenna has a high reflection coefficient, a wide bandwidth and high efficiency. The optimal dimensions of the designed antenna are 30 × 30 × 0.76 mm3. An antenna is built and measured. The results and its details for proposed antenna are discussed and elaborated below.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"72 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":"129110892","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
Design of IoT based Physical Protection System for Nuclear Facility 基于物联网的核设施物理防护系统设计
2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480647
Muhammad Z. Ateya, Ezz El-Din Hemdan, F. El-Samie
{"title":"Design of IoT based Physical Protection System for Nuclear Facility","authors":"Muhammad Z. Ateya, Ezz El-Din Hemdan, F. El-Samie","doi":"10.1109/ICEEM52022.2021.9480647","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480647","url":null,"abstract":"Radioactive materials are an attractive target for terrorist or criminal groups, because they can be used throughout the world in applications including agriculture, industry, medicine, scientific research, transport, and water desalination. Criminals can build dirty bombs by using these radioactive materials. The dirty bomb has harmful consequences on humanity. Keeping radioactive materials from any malevolent human attack is a must. Therefore, this work aims to strengthen the Physical Protection System (PPS) in nuclear facilities against criminal activities. This system works to provide the detection function of adversary actions through integrating various components. These components include Internet-of-Things (IoT) controller, magnetic sensors, vibration sensors, and Passive Infra-Red (PIR) motion detection sensors with cloud-based IoT platform and mobile application for monitoring and auditing purposes, remotely. The proposed work is intended for securing nuclear facility that contains radioactive materials through detection using various sensors and IoT controllers. A controller detects trigger signals from any sensor, an alarm and warning signs are sent to the dashboard and smartphone over the Internet.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"1 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":"129889223","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
Fuzzy Enhancement Technique of Face Images 人脸图像的模糊增强技术
2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480650
Fatma E. Abd El-Sattar, M. Rihan, A. El-Fishawy, Ghada M. El-Banby, Noha A. El-Hag, F. El-Samie, A. Khalaf
{"title":"Fuzzy Enhancement Technique of Face Images","authors":"Fatma E. Abd El-Sattar, M. Rihan, A. El-Fishawy, Ghada M. El-Banby, Noha A. El-Hag, F. El-Samie, A. Khalaf","doi":"10.1109/ICEEM52022.2021.9480650","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480650","url":null,"abstract":"Nowadays, different systems and applications secure personal data using the person's biometric features. Face, fingerprint, hand geometry, palm print, iris, and voice signatures are examples of biometric traits. This paper presents a fuzzy enhancement technique for generating high-contrast and clear face images. Since images are captured in various settings, the output images may have poor quality and low contrast. Evaluation metrics such as entropy, spectral entropy, contrast, average gradient and edge magnitude are used for measuring the performance of the proposed technique. The obtained results are compared with those of the recent enhancement techniques.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"1 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":"131376993","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
Multi-Label Transfer Learning for Identifying Lung Diseases using Chest X-Rays 利用胸部x光识别肺部疾病的多标签迁移学习
2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480622
A. El-Fiky, M. Shouman, S. Hamada, A. El-Sayed, M. E. Karar
{"title":"Multi-Label Transfer Learning for Identifying Lung Diseases using Chest X-Rays","authors":"A. El-Fiky, M. Shouman, S. Hamada, A. El-Sayed, M. E. Karar","doi":"10.1109/ICEEM52022.2021.9480622","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480622","url":null,"abstract":"Chest radiography presents one of the main medical imaging modalities for diagnosing lung diseases. To assist radiologists during interventional procedures, this paper aims at proposing a transfer learning-based classifier to automatically identify 14 different thoracic diseases in Chest X-ray (CXR) images. The proposed method is relied on deep residual neural networks with 50 layers (ResNet-50) to accomplish the diagnostic task of many chest diseases. In this study, a public dataset of 112,120 frontal radiograph images for Chest X-ray has been used for validating the proposed deep learning classifier. It achieved the best performance of multi-label classification of normal and 14 different lung diseases with an average area under curve (AUC) of 0.911 and F1-score of 0.66. This study demonstrated that the proposed ResNet-50 classifier as a transfer learning model outperforms other relevant methods in the previous studies for automatic multi-label classification of chest X-rays.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"58 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134190958","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: 4
A Review on Task Consolidation for Cloud Computing Environment 云计算环境下任务整合研究综述
2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480385
Shaimaa M Badr, Ahmed El Mahalawy, G. Attiya, Aida A. Nasr
{"title":"A Review on Task Consolidation for Cloud Computing Environment","authors":"Shaimaa M Badr, Ahmed El Mahalawy, G. Attiya, Aida A. Nasr","doi":"10.1109/ICEEM52022.2021.9480385","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480385","url":null,"abstract":"Recently, Power Consumption is one of The Most Important Researches on Cloud Computing Systems such as CPU central Processors, Drives, memory, and temperature that affect on consuming the amount of energy. But also the amount of software approach has more effective on it, such as scheduling, resource allocation, and task consolidation.Task Consolidation is an effective technique that is used to save power consumption which consolidates tasks by virtualization technologies. The goal of this optimizing is not only to minimize energy costs in cloud computing systems but also to respond to government and environmental rules. There are more than techniques to minimize energy consumption here we focus on the task consolidation technique and its important algorithms. In task consolidation, idle resources consume a major amount of energy consumption. Virtualization is an important part of the task consolidation strategy.In this survey, we discuss how efficient task consolidation algorithms affect cloud resource power consumption.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"21 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":"134237771","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
A Numerical solution of the linear elasticity problem using the FEM 线性弹性问题的有限元数值解
2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480613
Talaat Abdelhamid, Rongliang Chen, M. Alam
{"title":"A Numerical solution of the linear elasticity problem using the FEM","authors":"Talaat Abdelhamid, Rongliang Chen, M. Alam","doi":"10.1109/ICEEM52022.2021.9480613","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480613","url":null,"abstract":"The numerical solution of the 2D linear elasticity problem numerically from the given body and traction forces, Poisson ratio, and Young’s modulus is investigated. A continuous linear finite element method is adapted to solve the forward elasticity problem when Young’s modulus is defined as variable valued function. The body’s deformation is approximated by applying an approximation of the plane stress condition. We have studied the convergence analysis of the proposed linear elasticity problem. A numerical example presents the worthiness of the proposed technique.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"23 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":"133129021","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
Cancelable Biometric System for face Recognition Based on a Regularized Restoration Model 基于正则化恢复模型的可取消人脸识别生物特征系统
2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480635
A. I. M. Hassanin, F. A. Abd El-Samie, Abd El-hamid Mohamed
{"title":"Cancelable Biometric System for face Recognition Based on a Regularized Restoration Model","authors":"A. I. M. Hassanin, F. A. Abd El-Samie, Abd El-hamid Mohamed","doi":"10.1109/ICEEM52022.2021.9480635","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480635","url":null,"abstract":"Now, we use the biometric systems instead of passwords or tokens in authentication applications in several fields to improve the security level. The advantage of a biometric system is that the biometric cannot be lost, because it is a part of human body. This work aims to secure biometrics by distorting and saving them in a database to keep the original biometrics away from hackers. In this scenario, even if the biometrics are stolen or hacked up, we can reuse them again by changing the distorted versions. This paper presents a scheme for face biometric distorsion using a regularization approach. This scheme begins with adding noise to the original faces, and then applying regularized reconstruction on the noisy face images to obtain face images with magnified fixed noise patterns. These versions can be used as cancelable templates.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"193 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":"132071394","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
Metamaterial-Based Broadband Branch-Line Coupler and its Application in a Balanced Amplifier 基于超材料的宽带支路耦合器及其在平衡放大器中的应用
2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480615
R. M. Khattab, A. Shalaby
{"title":"Metamaterial-Based Broadband Branch-Line Coupler and its Application in a Balanced Amplifier","authors":"R. M. Khattab, A. Shalaby","doi":"10.1109/ICEEM52022.2021.9480615","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480615","url":null,"abstract":"This paper presents a design of a compact broadband two-section branch-line coupler (BLC) based on Dual Composed Right Left Hand (D-CRLH) Metamaterial at a center frequency of 1.8 GHz. To realize a good miniaturization, a V-shape coupled-line sections unit cell has been suggested and analyzed. It achieves very good characteristics without using lumped elements, via holes or defected ground structures. The designed coupler has been implemented using microstrip technique and simulated using the CST software. It has been fabricated and measured. The comparison between the simulated and measured results shows good agreement. It has a fractional bandwidth of 51.6% and a size reduction of 44.6 % comparing to the conventional coupler. As an application, the proposed coupler has been used to build a balanced amplifier. For this purpose, a microwave transistor amplifier has been designed and simulated at the center frequency, 1.8 GHz. The simulated results of the balanced amplifier show a good flat gain over a 1 GHz bandwidth with 13.7 dB gain at the central frequency, 1.8 GHz.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"44 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":"131988247","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
Light-Weight Convolutional Neural Network For Fire Detection 用于火灾探测的轻量级卷积神经网络
2021 International Conference on Electronic Engineering (ICEEM) Pub Date : 2021-07-03 DOI: 10.1109/ICEEM52022.2021.9480378
Mohamed Abdel-Zaher, Mustafa Hisham, Retaj Yousri, M. Darweesh
{"title":"Light-Weight Convolutional Neural Network For Fire Detection","authors":"Mohamed Abdel-Zaher, Mustafa Hisham, Retaj Yousri, M. Darweesh","doi":"10.1109/ICEEM52022.2021.9480378","DOIUrl":"https://doi.org/10.1109/ICEEM52022.2021.9480378","url":null,"abstract":"Fire disasters damage the economy across the globe and cause many casualties among civilians and firefighters. In this paper, a deep learning architecture based on the convolutional neural network (CNN) is proposed to detect fires efficiently. We trained the network on 9247, picked high-resolution images containing fire and other ones without any fire, and investigated the effect of CNN depth on its classification accuracy. In this proposed work, we achieved 98% accuracy on the testing set, which is so far better than the previous state-of-the-art and will eventually minimize fire disasters and reduce the damage caused by human resources.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"66 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":"117088598","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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