Iraqi Journal of Information and Communication Technology <p>The Iraqi Journal of Information &amp; Communication Technology (IJICT) is a quarterly published specialized, referred, and indexed journal published by the college of Information Engineering at Al–Nahrain University, Baghdad, Iraq. IJICT invites contributions from researchers, scientists and practitioners from all over the world.</p> en-US (Asst. Prof. Dr. Ammar E. Abdelkareem ) (Prof. Dr. Emad H. Al-Hemiary) Mon, 22 Aug 2022 18:01:18 +0000 OJS 60 IMAGE TRANSFER USING LIFI TECHNOLOGY <p>Since the use of the radio-frequency (RF) portion of the electromagnetic spectrum is growing all the time, new techniques to avoid poor Internet service have become necessary, one of which is Li-Fi technology. Li-Fi is a high-speed communication light source technology that is superior to Wi-Fi in terms of capacity, security, and accessibility. The paper focused on the usage of optical wireless communications (OWCs) in Li-Fi technology for transferring images of various sizes, formats, distances, and baud rates, with the results ranging from (25- 280 )cm, (1200- 96000 )bps, and (4.7- 116) kilobytes with a time of (2.7- 166) seconds.</p> Asmma H. Majeed, Hijran H. Naser Copyright (c) 2022 Iraqi Journal of Information and Communication Technology Mon, 22 Aug 2022 00:00:00 +0000 D2D MULTI-OBJECTIVE ROUTE OPTIMIZATION IN MANET ENVIRONMENT <p>Over the past decades, wireless networks and devices have experienced intensive growth. Route discovery and selection from device to device (D2D) that are randomly distributed came across services trade-offs. This paper presents an optimal routing technique for the MANET environment-based D2D network. The optimization method considers the Lagrange Multiplier approach to maximize bit rate along with constraints minimization of the latency and packet loss. This method is executed for D2D nodes by active route election for links. An intensive simulation is applied and the obtained simulation results manifest the effectiveness of the presented Lagrange Optimization of Rate, Delay, and Packet loss algorithm (LORDP) in the optimal routing as compared to the Particle Swarm Optimization&nbsp;(PSO) and Genetic Algorithm&nbsp;(GA).</p> Marwa K. Farhan, Muayad S. Croock Copyright (c) 2022 Iraqi Journal of Information and Communication Technology Mon, 22 Aug 2022 00:00:00 +0000 LUNG CANCER RELAPSE PREDICTION USING PARALLEL XGBOOST <p>Lung cancer has been the most popular form of cancer for decades. Surgery will offer the non-small cell lung cancer (NSCLC) patients the best hope of a cure if the cancer is diagnosed in the early stage. However, many patients eventually die of their disease due to relapse after surgery. Because of no symptoms of lung cancer in its early stage, many researchers try to improve methods to predict lung cancer relapse early. This study proposed a method to predict lung cancer relapse more accurately. This method has three stages; feature selection, parallel extreme gradient boost (XGBoost) classifications with different hyperparameters, and selection stage. It used two datasets of a gene expression microarray for different lung cancer types with its clinical information. The accuracy of the proposed model is excellent compared to other machine learning.</p> Rana D. Abdu-Aljabar, Osama A. Awad Copyright (c) 2022 Iraqi Journal of Information and Communication Technology Mon, 22 Aug 2022 00:00:00 +0000 Augmented Reality for Learning Human Body Anatomy and Total Hip Replacement Surgery <p>Augmented Reality refers to a technology that enables users to superimpose digital material (images and text) on top of a physical environment. The science of human anatomy is the study of the body's structure and the human body's organs functions. The traditional learning method of human anatomy is based on textbooks and plastic models. The student still faces problems with understanding human anatomy based on these methods. This study aims to create an augmented reality application to address the challenge of seeing and imagining complicated human body's anatomy, and also help students to understand the procedure of Total Hip Replacement (THR) surgery and to explore the medical devices used in this surgery. Through the use of an augmented reality-based application, learning human anatomy and the procedure of the surgery will be more enjoyable and interactive. In this AR application, the user performs THR surgery procedures and interactively explores human anatomy. Also, The user may test their knowledge with a quiz about the THR surgery procedure. The Research results show that the AR application received a System Usability Scale score of (82.125), indicating that it is user-friendly, recommended, and good according to the System Usability Scale range.</p> Saad B. Younis, Emad H. Al-Hemiary Copyright (c) 2022 Iraqi Journal of Information and Communication Technology Mon, 22 Aug 2022 00:00:00 +0000