2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet)最新文献

Reactive caching of viral content in 5G networks 5G网络中病毒式内容的响应式缓存

2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2020-09-01 DOI: 10.1109/CommNet49926.2020.9199636

Saideh Ahangary, Hamid Chitsaz, M. J. Sobouti, A. Mohajerzadeh, M. Moghaddam, H. Ahmadi

引用次数: 4

Prediction of Patients with Heart Disease using Artificial Neural Network and Adaptive Boosting techniques 应用人工神经网络和自适应增强技术预测心脏病患者

2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2020-09-01 DOI: 10.1109/CommNet49926.2020.9199620

O. Terrada, B. Cherradi, S. Hamida, A. Raihani, H. Moujahid, O. Bouattane

{"title":"Prediction of Patients with Heart Disease using Artificial Neural Network and Adaptive Boosting techniques","authors":"O. Terrada, B. Cherradi, S. Hamida, A. Raihani, H. Moujahid, O. Bouattane","doi":"10.1109/CommNet49926.2020.9199620","DOIUrl":"https://doi.org/10.1109/CommNet49926.2020.9199620","url":null,"abstract":"Machine learning (ML) technique behind the most existing abilities fields in several areas like languages processing, robotics, including medicine. The most important medical applications are the early prediction system for heart diseases especially, coronary artery disease (CAD) also called atherosclerosis. The need for a medical diagnosis support system is to detect atherosclerosis at the earlier stages to optimize the diagnosis, avoid the advanced cases, and reduce treatment costs. Here, a supervised machine learning medical diagnosis support system (MDSS) for atherosclerosis prediction is presented that is able to obtain and learn automatically knowledge from each patient’s clinical data. Therefore, we used the various ML classifiers for the proposed medical diagnosis support system for atherosclerosis. Two supervised ML algorithms (Artificial Neural Network and Adaptive Boosting) were used in order to compare which one is more efficient for atherosclerosis diagnosis. Thus, this work is accomplished using databases collected from the UCI repository (Cleveland, Hungarian) and Sani Z-Alizadeh dataset. The performance metrics were computed utilizing Recall, Accuracy and Precision. Furthermore and F1 score measures were also calculated to greatly increase the proposed system performance. Consequently, the proposed model can be used to support healthcare and facilitate large-scale clinical diagnostic of atherosclerosis diseases.","PeriodicalId":301027,"journal":{"name":"2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122489625","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: 23

Security on Blockchain Technology 区块链技术的安全性

2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2020-09-01 DOI: 10.1109/CommNet49926.2020.9199622

Mohamed Fartitchou, K. Makkaoui, Nabil Kannouf, Z. E. Allali

引用次数: 6

Edge Computation for SDR-SDN SDR-SDN的边缘计算

2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2020-09-01 DOI: 10.1109/CommNet49926.2020.9199618

S. Chakravarty, Madhushri Banerjee

引用次数: 1

On the Performance of Dual-Hop SWIPT-based Relaying System with Asymmetric Fading Conditions 非对称衰落条件下基于双跳swipt中继系统的性能研究

2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2020-09-01 DOI: 10.1109/CommNet49926.2020.9199629

Elmehdi Illi, Faissal El Bouanani, F. Ayoub

引用次数: 1

New and efficient method to find all minimal paths 新的和有效的方法来寻找所有的最小路径

2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2020-09-01 DOI: 10.1109/CommNet49926.2020.9199616

Yasser Lamalem, K. Housni

引用次数: 2

Optimize the QoS Metrics in Smart Mobile Communication using Multi-Objective Function 基于多目标函数的智能移动通信QoS指标优化

2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2020-09-01 DOI: 10.1109/CommNet49926.2020.9199632

Halim Berradi, A. Habbani, Mohammed Souidi, Fatna El Mahdi, Nada Mouchfiq

{"title":"Optimize the QoS Metrics in Smart Mobile Communication using Multi-Objective Function","authors":"Halim Berradi, A. Habbani, Mohammed Souidi, Fatna El Mahdi, Nada Mouchfiq","doi":"10.1109/CommNet49926.2020.9199632","DOIUrl":"https://doi.org/10.1109/CommNet49926.2020.9199632","url":null,"abstract":"The impact of mobility is a major factor that can have an influence on the stability of network behaviour in mobile ad-hoc networks (MANET). The selection of paths having stability, security and an extended network lifetime is one of the crucial issues in the design of routing protocols. In this paper, the authors propose an enhanced algorithm relying on a multipurpose function according to three metrics, mobility, energy and reputation levels to improve the routing decision-making process. The main goal is to identify better performing Multipoint relays (MPRs) which are used to relay messages between nodes. They are also necessary for routing and selecting the appropriate route from any source to any destination node. The identification of the most efficient MPRs can upgrade the network performing even in the most challenging conditions of the dynamic environment. The authors implement the advanced algorithm in the OLSR and get the performance result by using a network simulator (NS3) running under the mobility model of the Manhattan network. The achieved results show important performance compared to the default version. In addition, the proposed model can be employed to improve network efficiency for proactive protocols in ad-hoc networks.","PeriodicalId":301027,"journal":{"name":"2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120974488","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

A Novel Feature Extraction System for Cursive Word Vocabulary Recognition using Local Features Descriptors and Gabor Filter 基于局部特征描述符和Gabor滤波器的草书词汇识别特征提取系统

2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2020-09-01 DOI: 10.1109/CommNet49926.2020.9199642

S. Hamida, B. Cherradi, O. Terrada, A. Raihani, H. Ouajji, Sara Laghmati

{"title":"A Novel Feature Extraction System for Cursive Word Vocabulary Recognition using Local Features Descriptors and Gabor Filter","authors":"S. Hamida, B. Cherradi, O. Terrada, A. Raihani, H. Ouajji, Sara Laghmati","doi":"10.1109/CommNet49926.2020.9199642","DOIUrl":"https://doi.org/10.1109/CommNet49926.2020.9199642","url":null,"abstract":"the problems which arise in the system of automatic recognition of the handwritten Arabic script shows that the morphology complexity of the Arabic script and its cursivity remains a very vast subject of research. This research subject has known in recent years a great progress especially in the automation of postal mail sorting, check processing and form processing. Generally, there are two main types of approaches namely the analytical approach and the global approach. In this paper, we have exploited the global approach, which is based on a single description of the image of the word, seen as an indivisible entity. Our work is devoted to offline handwritten Arabic word recognition based on the global limited vocabulary approach using the IFN/ENIT database, which contains handwritten Arabic words featuring handwritten Tunisian city/village names. In the feature extraction phase, we studied three types of descriptors; the oriented gradient histogram, the local binary pattern and the Gabor filter for feature extraction. We evaluate the performance of our models by calculating some common metrics. Among the performances of three descriptors, the model based on the Gabor filter achieves an extreme precision of 99.90%.","PeriodicalId":301027,"journal":{"name":"2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"306 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123092876","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: 18

Towards Enhancement of Network Communication Architectures and Routing Protocols for FANETs: A Survey 面向fanet的网络通信体系结构和路由协议的改进:综述

2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2020-09-01 DOI: 10.1109/CommNet49926.2020.9199627

Sara Al-Emadi, Aisha Al-Mohannadi

{"title":"Towards Enhancement of Network Communication Architectures and Routing Protocols for FANETs: A Survey","authors":"Sara Al-Emadi, Aisha Al-Mohannadi","doi":"10.1109/CommNet49926.2020.9199627","DOIUrl":"https://doi.org/10.1109/CommNet49926.2020.9199627","url":null,"abstract":"The popularity of Unmanned Aerial Vehicles (UAVs), also known as drones, has been growing rapidly in the recent years. Their applications extend to using a group of UAVs, forming what is known as the Flying Ad hoc Network (FANET), to perform a certain mission in various applications such as search and rescue and various military applications and many others. In order for the UAVs to communicate, a network communication architecture with the implementation of suitable routing protocols needs to be established while taking into consideration the limitation of this system. Therefore, in this paper, we survey in details the latest state-of-the-art network communication architectures and various ad-hoc routing protocols, mainly those falling under the proactive, reactive and hybrid routing protocols and their enhanced versions which are used currently for FANETs. Furthermore, we propose a unique network communication architecture based on the concept of clustering with the aim of overcoming the limitation in the state-of-theart. Moreover, we put forward a new idea of a routing mechanism to aid in implementing an efficient and effective routing system for FANETs.","PeriodicalId":301027,"journal":{"name":"2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132484956","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: 10

Classification of Patients with Breast Cancer using Neighbourhood Component Analysis and Supervised Machine Learning Techniques 使用邻域成分分析和监督机器学习技术的乳腺癌患者分类

2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2020-09-01 DOI: 10.1109/CommNet49926.2020.9199633

Sara Laghmati, B. Cherradi, A. Tmiri, Othmane Daanouni, S. Hamida

{"title":"Classification of Patients with Breast Cancer using Neighbourhood Component Analysis and Supervised Machine Learning Techniques","authors":"Sara Laghmati, B. Cherradi, A. Tmiri, Othmane Daanouni, S. Hamida","doi":"10.1109/CommNet49926.2020.9199633","DOIUrl":"https://doi.org/10.1109/CommNet49926.2020.9199633","url":null,"abstract":"Breast cancer is considered one of the leading causes of death among women. In morocco, the ministry of health reports over 40.000 new cases each year. When lifestyle can be a preventive pattern, early detection remains a factor of a huge impact on the mortality of the diseases. Machine learning (ML) algorithms offer an alternative to breast cancer standard techniques of prediction, or at least can assist radiologists in their reasoning flow and thus saving many females and some males from breast cancer biopsy. The present study represents a benchmarking of different ML models. The research applies and compares four machine learning algorithms (kNN, decision tree, Binary SVM, and Adaboost) to predict whether a patient has a malignant or a benign tumor. The machine learning techniques have been trained then tested on the Breast Cancer Wisconsin dataset. The datasets features are fed into feature selection model with Neighbourhood Components Analysis (NCA) to reduce the number of features and therefore decrease the complexity of the model. The predictive accuracy reached a 99.12% for the kNN model, the best predictive specificity obtained was 9S.S6% for the Binary SVM model and the highest predictive sensitivity obtained was up to one for both kNN and Adaboost models.","PeriodicalId":301027,"journal":{"name":"2020 3rd International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125620949","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: 34