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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Raed Khalid Ibrahim
Al-Farahidi University
Computer Science & IT Electrical & Electronics Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

 1 
Quality of service performances of video and voice transmission in universal mobile telecommunications system network based on OPNET Sameer A. S. Lafta; Mohaned Mahdi Abdulkareem; Raed Khalid Ibrahim; Marwah M. Kareem; Adnan Hussein Ali
Bulletin of Electrical Engineering and Informatics Vol 10, No 6: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i6.3139

Abstract

The universal mobile telecommunications system (UMTS) has distinct benefits in that it supports a wide range of quality of service (QoS) criteria that users require in order to fulfill their requirements. The transmission of video and audio in real-time applications places a high demand on the cellular network, therefore QoS is a major problem in these applications. The ability to provide QoS in the UMTS backbone network necessitates an active QoS mechanism in order to maintain the necessary level of convenience on UMTS networks. For UMTS networks, investigation models for end-to-end QoS, total transmitted and received data, packet loss, and throughput providing techniques are run and assessed and the simulation results are examined. According to the results, appropriate QoS adaption allows for specific voice and video transmission. Finally, by analyzing existing QoS parameters, the QoS performance of 4G/UMTS networks may be improved.
A survey on driver drowsiness detection using physiological, vehicular, and behavioral approaches Mustafa Kamel Gatea; Sadik Kamel Gharghan; Raed Khalid Ibrahim; Adnan Hussein Ali
Bulletin of Electrical Engineering and Informatics Vol 11, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i3.3098

Abstract

Drowsiness is a significant reason for street mishaps and has huge ramifications for driver safety. A few lethal mishaps can be prohibited if the sleepy drivers are cautioned in time. There are a number of tiredness identification strategies that screen the drivers’ languor state while driving and caution unfocused drivers. Highlights may be gathered from outward appearances (e.g., yawning and eyes and head movement) to determine the degree of laziness. This paper presents a holistic investigation of current strategies for driver laziness discovery and gives an exploration of widely-used characterization procedures. We begin by organizing the current procedures into three categories: behavior, vehicular, and physiological boundaries-based procedures. Then, we survey top directed learning methods utilized for laziness discovery. Next, we examine the advantages and disadvantages of the various techniques. A similar examination indicated that none of these strategies is entirely precise. However, physiological boundaries-based procedures produce more exact outcomes than other types of procedures. Their non-intrusive nature may be decreased through utilizing remote sensors on various elements including the driver’s body, driver’s seat, seat covers, and steering wheel.
Implementation of energy-efficient routing protocol within real time clustering wireless sensor networks Salam Mahdi Azooz; Jaber H. Majeed; Raed Khalid Ibrahim; Adnan Hussein Ali
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.3916

Abstract

Wireless sensor networks (WSNs) are characterized by huge sensors that are having a limited amount of energy and specifying their behavior. Sensor networks combine distributed sensing, processing, and communication capabilities to create a powerful system. There are issues with the length of sensors connected to the network since features inside the sensors frequently require energy, which is likely to limit WSN performance. In creating WSN application architectures, extending network longevity, scalability, and load balancing are important factors. Using clustering techniques, the challenge of prolonging overall network lifetime and increasing the first dead node duration in the network may be tackled. Clustering is a valuable approach for breaking a network into parts known as clusters and giving solutions for energy consumption concerns including data collection, aggregating, and routing to sink nodes by cluster heads (CHs). In this paper, we suggest optimum clustering in multi-path and multi-hop protocols as a feasible option for reducing energy consumption and extending the lifetime of wireless sensor networks. In compared to the low energy adaptive clustering hierarchy (LEACH) clustering method, simulation results show that the new technique, optimal real time clustering (ORTC), is promising in terms of extending network lifetime.
Co-Authors Adnan Hussein Ali Adnan Hussein Ali Adnan Hussein Ali Adnan Hussein Ali Alaa Husein Ali Anmar Yahya Taher Bilal Hashim Hameed Jaber H. Majeed Marwah M. Kareem Mohaned Mahdi Abdulkareem Mustafa Kamel Gatea Nida Abdulredha Noor Alhuda F. Abbas Sadik Kamel Gharghan Salam Mahdi Azooz Sameer A. S. Lafta Yasser Adnan Hussein