2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM)最新文献_第5页

On ici-Open Sets in Topological Spaces 论拓扑空间中的ici-开集

2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM) Pub Date : 2021-08-25 DOI: 10.1109/ICCITM53167.2021.9677817

Beyda S. Abdullah, Barah M. Sulaiman, M. Al-Neima

引用次数: 0

Design and Analysis of Intelligent Energy Management System based on Multi-Agent and Distributed IoT: DPU Case Study 基于多智能体和分布式物联网的智能能源管理系统设计与分析——以DPU为例

2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM) Pub Date : 2021-08-25 DOI: 10.1109/ICCITM53167.2021.9677679

M. A. Sadeeq, Subhi R. M. Zeebaree

{"title":"Design and Analysis of Intelligent Energy Management System based on Multi-Agent and Distributed IoT: DPU Case Study","authors":"M. A. Sadeeq, Subhi R. M. Zeebaree","doi":"10.1109/ICCITM53167.2021.9677679","DOIUrl":"https://doi.org/10.1109/ICCITM53167.2021.9677679","url":null,"abstract":"Population growth and the creation of new equipment are accompanied by a constant increase in energy use each day and have created significant consumer issues in energy management. Smart meters (SM) are simply instruments for measuring energy usage and are a significant resource of the evolving technological energy management system. Including precise billing data, information on usage at the user end, installation of two-way communication. SM is the critical component of an intelligent power grid. The Internet of Things (IoT) is a critical partner in the power business leading to intelligent resource management to ensure successful data collection and use. This paper proposes designing and analyzing intelligent energy management systems based on Multi-Agent (MA) and Distributed IoT (DIoT). An efficient approach is proposed to monitor and control power consumption levels of the proposed case study of Duhok Polytechnic University (DPU). DPU consists of Presidency, six colleges, and eight institutes. These fifteen campuses are distributed through a wide geographical area with long distances between each campus (i.e., more than 100 Km). A Node represents each campus, and Wi-Fi makes the connection inside each node. These nodes are connected via the Internet to the Main Control Unit (MCU) represented by Raspberry Pi connected to the cloud. Depending on the received data from the Nodes, the MCU will make the correct decision for each node using intelligent algorithms and the user's requirement. Then, control commands are initiated, and the node's appliances can be controlled automatically (or even manually) from the MCU.","PeriodicalId":406104,"journal":{"name":"2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130128469","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

Face Identification Under Disguise and Makeup Based on Hybrid Deep Learning 基于混合深度学习的伪装化妆人脸识别

2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM) Pub Date : 2021-08-25 DOI: 10.1109/ICCITM53167.2021.9677752

Farah Jawad Al-ghanim, A. M. Al-juboori

{"title":"Face Identification Under Disguise and Makeup Based on Hybrid Deep Learning","authors":"Farah Jawad Al-ghanim, A. M. Al-juboori","doi":"10.1109/ICCITM53167.2021.9677752","DOIUrl":"https://doi.org/10.1109/ICCITM53167.2021.9677752","url":null,"abstract":"Facial recognition has been broadly used in advanced intelligent systems (i.e: smart video surveillance, intelligent access control system, and online payment). The performance of existing algorithms for automatic facial recognition is hampered by various covariates like pose variations, face aging, disguises, and makeup. Disguises and makeup are especially used to intentional or unintentional changes facial appearance to either hide one's personal identity or impersonate someone's different identity. While new algorithms continue to improve performance, most face recognition systems are liable to failure when disguised or makeup altered, which is one of the most challenging factors to overcome. With enormous capability and promising results, deep learning technology becomes attracted to the greatest attention to the research in a diversity of computer vision tasks. In order to overcome this problem, the database of disguised and makeup faces (DMFD) is used. In this paper, face features are extracted by Linear Discriminant Analysis (LDA). Facial recognition is done by using proposed hybrid-deep learning Classifier for more precise feature learning. Also, we compared the proposed method with two pre-trained models (AlexNet and VGG16). The Experimental results taking after implementation and testing showed the effectiveness of the proposed system provided better precision by (94%)","PeriodicalId":406104,"journal":{"name":"2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126149876","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

Evaluation and Implementation of Malware Classification Using Random Forest Machine Learning Algorithm 基于随机森林机器学习算法的恶意软件分类评估与实现

2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM) Pub Date : 2021-08-25 DOI: 10.1109/ICCITM53167.2021.9677693

Saifaldeen Alabadee, Karam Thanon

引用次数: 1

Improved Assessment of HPA by Using Volterra Series and FIR Filter 利用Volterra系列和FIR滤波器改进HPA评价

2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM) Pub Date : 2021-08-25 DOI: 10.1109/ICCITM53167.2021.9677834

Mohanned A.M. Al-Ja'afari, Firas Abedi, L. F. Al-Rammahi

引用次数: 0

Using Software Defined Network (SDN) Controllers to Enhance Communication between Two Vehicles in Vehicular AD HOC Network (VANET) 利用软件定义网络(SDN)控制器增强车载自组网(VANET)中两车之间的通信

2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM) Pub Date : 2021-08-25 DOI: 10.1109/ICCITM53167.2021.9677720

Hiba Dhivaa Ali, A. Abdulqader

{"title":"Using Software Defined Network (SDN) Controllers to Enhance Communication between Two Vehicles in Vehicular AD HOC Network (VANET)","authors":"Hiba Dhivaa Ali, A. Abdulqader","doi":"10.1109/ICCITM53167.2021.9677720","DOIUrl":"https://doi.org/10.1109/ICCITM53167.2021.9677720","url":null,"abstract":"Traditional Vehicular Ad-hoc Networks (VANETs) can efficiently be supplemented with the software-defined networking (SDN) paradigm which uses independent planes for data transmission and control. Integrating the SDN with the VANETs is a part of the development of intelligent VANETs. This integration technology has collected the attentions of researchers. In this paper, a new simulation model called the IoT-VANET is suggested with the SDN controller to enhance the communication between vehicles. This model uses the mininet-IoT simulator. For the purpose of comparison with previous work, a simulation model called the WiFi-VANET is built. It uses the mininet-WiFi software in two ways. Firstly, utilizing the Vehicle to Vehicle (V2V) communication performance evaluation based on the Road Side Units (RSU) and SDN controller. Three controllers of the Ryu (a Japanese word means flow), Python-based OpenFlow (POX) and centralized controller are exploited. Secondly, using the V2V communication performance evaluation based on the Global Positioning System (GPS). In terms of average delay and throughput, the performance evaluations of these two models show that the IoT-VANET is more efficient than the WiFi-VANET.","PeriodicalId":406104,"journal":{"name":"2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115723744","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

Cyberwarfare Techniques: Status, Challenges and Future trends 网络战争技术:现状、挑战和未来趋势

2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM) Pub Date : 2021-08-25 DOI: 10.1109/ICCITM53167.2021.9677861

Qusai AL-Durrah, S. Sadkhan

引用次数: 2

Exact Recovery of Two-Latent Variable Stochastic Block Model with Side Information 带侧信息的双潜变量随机块模型的精确恢复

2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM) Pub Date : 2021-08-25 DOI: 10.1109/ICCITM53167.2021.9677645

M. Shahiri, Mahdi Eskandari

引用次数: 0

Use Crowdsourcing in Software Engineering for The Development of The Website 利用软件工程中的众包技术开发网站

2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM) Pub Date : 2021-08-25 DOI: 10.1109/ICCITM53167.2021.9677860

Muataz Abd Al-Mohsen, A. S. Abbas

{"title":"Use Crowdsourcing in Software Engineering for The Development of The Website","authors":"Muataz Abd Al-Mohsen, A. S. Abbas","doi":"10.1109/ICCITM53167.2021.9677860","DOIUrl":"https://doi.org/10.1109/ICCITM53167.2021.9677860","url":null,"abstract":"The significance of the study lies in the crowdsourcing tool that supports software engineering tasks externally by different, unidentified groups of people who send ideas and opinions over the Internet. Software engineering Crowdsourcing global online work scheduling software engineering tasks such as requirements extraction, requirements analysis, design, testing, and coding is the basic principle or idea of requirements engineering. The impact of software engineering crowdsourcing has increased in recent years due to the clear and visible impact that has touched and worked on multiple aspects of software engineering. In this study, a search was conducted to obtain crowdsourcing opinions about one of the important and commonly used Iraqi sites from different groups, ages, and specialties, in which about (151) people participated to express their opinion by answering (9) questions with the word yes or no, because the questions are of an answering style Easy, simple and fast, for the purpose of extracting the required and useful information for engineering requirements, which serves as the basis for project planning. These methods are used in the thesis concept for data mining using classification techniques to discover unknown categories of data. This includes decision trees, Logistic Regression, random forests Classifier, and k-nearest neighbor algorithm, with an evaluation of each method showing the best result using classification techniques that were the best result using the 98% decision trees and random forests Classifier technique while is more than adequate. Work on the same data set.","PeriodicalId":406104,"journal":{"name":"2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123032881","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

The ECG data Compression by Discrete Wavelet Transform and Huffman Encoding 离散小波变换与霍夫曼编码的心电数据压缩

2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM) Pub Date : 2021-08-25 DOI: 10.1109/ICCITM53167.2021.9677704

Rawaa K. Hamza, K. Rijab, Mohammed A. Hussien

{"title":"The ECG data Compression by Discrete Wavelet Transform and Huffman Encoding","authors":"Rawaa K. Hamza, K. Rijab, Mohammed A. Hussien","doi":"10.1109/ICCITM53167.2021.9677704","DOIUrl":"https://doi.org/10.1109/ICCITM53167.2021.9677704","url":null,"abstract":"The Electrocardiogram (ECG) data has been used to diagnose and analyze heart issues. For that The ECG data compression is one of the most important studies in biomedical engineering. The ECG signal compression benefits storage data, data transmission rate decrease, and communication bandwidth reduction. The proposed work deal with the ECG signal compression method of ECG signals using Discrete Wavelet Transform (DWT). The DWT compressed the signal energy in a smaller change in data and has perfect localization assets in frequency & time. The DWT threshold has been selected to perform for the DWT coefficients depending on the signal's Energy Packing Efficiency (EPE). The Huffman encoder has been used to encoding the selected DWT coefficient. The results of the proposed method show better performance with higher compression ratios and good quality reconstructed signals. For Example the Compression ratio (CR) =16.33, 10.57,and 7.75 with percent root mean square difference (PRD)=1.5%, 1.3%, and 1.02% for using different DWT(Harr transform, Bior1.1, and Db2), respectively.","PeriodicalId":406104,"journal":{"name":"2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125596982","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