مواقع التدريسيينجامعة الكوفة
رغد عماد حسين .
مدرس

رغد عماد حسين .

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الملف الشخصي

حصلت على بكالوريوس علوم حاسبات من ( جامعة القادسية/كلية علوم الحاسبات والرياضيات) واكملت ( الدراسات العليا /ماجستير
) في جامعة الكوفة / كلية علوم الرياضيات والحاسوب)

الاهتمامات البحثية

2

البحوث المنشورة

5
2021

GAME THEORY BASED SOLUTION FOR NETWORK SECURITY

الباحثونRaghad I. Hussein، Nasrullah Pirzada
المجلةJournal of Hunan University ( Natural Sciences)
مختصر البحث

Abstract— Today in this modern age, network security is the hottest and trendy topic of research. Features of network security globally change due to rapid developments in computer networks, mobile applications and wireless computer networks. Open computer system networks do not have any protection and privacy due to fraudulent attacks and the Internet attacks on computer networks or an organization. Network security can be maintained through the firewalls and encryption software’s. Many organizations developed intranet to remain connected with network for their business.

2021

SOFTWARE REQUIREMENT INSPECTION AND DEFECT DETECTION TECHNIQUES

الباحثونRaghad I. Hussein ، .
المجلةJournal of Hunan University Natural Sciences
مختصر البحث

oftware requirement is something which is required or we can say that it is something wanted or needed from the software. In Webster’s dictionary requirements are basically, that is difference between needed and wanted, are called requirements? Software requirement defects are those which an inspector found in any aspect of the software during the inspection. There are many different types of defect detection techniques some are based on reading, some on the language used for requirement specifications and some are experimental replication, etc. When we talk about reading- based techniques then we found that Perspective Based Reading (PBR) is one of the best techniques for software inspection and to find defects and errors in it. PBR has been anticipated to advance the efficiency of software requirement inspection

2020

Performance of Differential CSK under Color Noise: A Comparison with CSK

الباحثونRaghad Imad Hussain ، Zahir Hussain Salah-Albermany2
المجلةJournal of Engineering and Applied Sciences
مختصر البحث

Abstract: In this research, we present a comprehensive study on the performance of chaotic communication systems under Gaussian and color noise. We selected the most useful systems for short range communications: Chaos Shift Key (CSK) and Differential Chaos Shift Key (DCSK) systems. Logistic map and tent map have been used to generate Chaos in these systems. Color noise has been generated by filtering Gaussian noise via. an FIR digital filter. Various spreading factors have been used. Although, DCSK outperforms CSK in complexity, it is shown that CSK outperforms DCSK under Gaussian and color noise and various spreading Factors (SF) in terms of Bit Error Rate (BER). In addition, it is shown that CSK is more secure than DCSK. both systems have been simulated using MATLAB R2018a.

2023

A new approach of cryptography using taylor series of logarithm function

الباحثونBashar Ahmed Sharba، Roaa Razaq Al-Khalidy & Raghad I. Hussein
المجلةJournal of Discrete Mathematical Sciences and Cryptography
التاريخ2023-10-30
مختصر البحث

This study investigated a novel cryptographic approach involving the encryption of plaintext using the coefficients of a Taylor series for the logarithm function multiplied by its corresponding index. The decryption process utilized the Laplace transform of the logarithm function and its inverse. Through this methodology, several innovative mathematical encryptions and decryption formulas were derived. The study also includes a practical example to demonstrate the broader implications of the findings.

2025

Graph-Based Architecture for Consumer-Based Image & Video Analysis in the Internet of Everything Using Advanced Learning Algorithms

الباحثونAmeer N. Onaizah، Raghad I. Hussein
المجلةIEEE Transactions on Consumer Electronics
التاريخ2025-03-21
مختصر البحث

The Internet of Everything (IoE) era has witnessed to a rapid increase in interconnected devices, leading to an exponential growth of image and video data. Efficient multimedia content analysis is crucial for applications such as surveillance systems and autonomous vehicles. This study proposes a novel hybrid architecture, fusing Convolutional Neural Networks (CNNs) with Graph Convolutional Networks (GCNs), for efficient multimedia analysis within the burgeoning Internet of Everything (IoE) landscape. By synergistically leveraging the strengths of both CNNs for local feature extraction and GCNs for capturing global data relationships, this approach aims to significantly enhance the accuracy and robustness of image and video analysis tasks in diverse IoE applications. Evaluated on challenging datasets like YouTube-8M and ImageNet, our approach demonstrates significant improvements in accuracy, loss, and computational efficiency compared to traditional methods. These results highlight the potential of this hybrid framework to address the demands of the IoE by enabling more efficient and accurate analysis of the ever-growing volume of image and video data

المحاضرات

5

Microsoft power point

computer

Artificial Intelligence in medicine field

computer

Introduction to internet and web browsers

computer

Operating System (OS

computer

Introduction to computer

computer

الأخبار والإعلانات

1
الأخبار 2025-05-12

مقوم علمي لمجلات ضمن مستوعبات سكوبس وكلاريفيت

تم اختيار التدريسية كمقوم علمي للعديد من المجلات العالمية المرموقة الواقعة ضمن مستوعبات سكوبس و كلاريفيت ,المجلات هي : 1.Transactions on Intelligent Transportation Systems 2.IEEE Internet of Things Journal 3.Alexandria Engineering Journal 4.Transactions on Consumer Electronics 5.Journal of Neuroscience Methods

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