Browsing by Author "Ashour, O.I."

Now showing 1 - 4 of 4

Investigating the Factors That Impact E-Learning Systems in Oil and Gas Industry
(American Institute of Physics Inc., 2022) AlRawi, L.N.; AlBella, A.H.; Ashour, O.I.; 01. Çankaya Üniversitesi
The use of digital media such as audio and video as a teaching media helps to achieve teaching goals better than following traditional teaching. It improves the engagement with the lecture and helps to deliver the education by lower cost and shorter time. Many companies use electronic Learning (e-learning) as an effective way to improve the knowledge, skills, and performance of their employees. For that, it became essential to investigate the factors that affect the usage of these systems. Many researches have performed on the factors affecting e-learning systems in different sectors, but studies into e-learning systems for Oil and Gas industry is limited. In this study, the Oil and Gas sector is targeted since we have found the use of distance training and learning is projected to increase in this industry especially with current unprecedented circumstances and the lockdown that are associated with Coronavirus 2019 Disease (COVID-19). Human factors that influence e-learning systems for Oil and Gas companies are targeted and investigated. An investigation had conducted in order to gain insights into human factors. Questionnaires were collected from 76 employees from the field. The findings show that learner’s education, system interface, computer literacy, organization support, and teaching methods were identified as factors affecting e-learning systems. This research will play an essential role in helping oil and gas companies to develop and improve the use of their e-learning systems. © 2022 American Institute of Physics Inc.. All rights reserved.
Secure Iot Entrance Using Mobile Application
(Institute of Electrical and Electronics Engineers Inc., 2023) Abdulkareem, M.I.; Ashour, O.I.; Salman, Y.B.; 01. Çankaya Üniversitesi
The impact of cyber security attacks increased globally, implementing proper security standards to protect data in the cyber environment has been prioritized, while assets are also at risk of being exploited through physical security breaches. Considering the potential risk of Radio Frequency Identification (RFID) cards being lost or stolen, third parties can effortlessly gain the privileges of an authorized person. In this paper, we propose a design for a secure access control system that operates on an Android phone with multi-factor authentication to enable secure access control systems. For this purpose, the authorized users are registered in a database that can be accessed by the access control system when the user authenticates his\her credentials with a login/password as well as biometric data from his\her smartphone. This system works when the user is 10 meters away from the access control system, after that the user will be asked to submit his\her biometric credentials. The database then compares the user's keys and grants access if authentication is successful. This design is intended to reduce the number of cases in which unauthorized access to a restricted area. The observed results clearly meet the required security of physical access control systems. © 2023 IEEE.
Citation - Scopus: 2
Spectrum Behavior Prediction and Optimized Throughput /Time Performance Using Ffnn in Cognitive Radio
(Institute of Electrical and Electronics Engineers Inc., 2020) Sadeq, M.A.; Bayat, O.; Ilyas, M.; Ashour, O.I.; 01. Çankaya Üniversitesi
Progressively, number of radio spectrum users is increasing as life tends towards new technologies in all sectors, so even those users of licensed band are demanding larger radio spectrum. Users may get assigned into other bands to balance the radio spectrum congestion. In this paper, radio spectrum is sensed for void detection and secondary user assignment. Cognitive users are participating the white band either by transmitting alongside with primary users or waiting until the hole is getting vacant. During the period of transmission, the behaviors of primary users are studied for determining the spectrum occupancy status. The activity of primary users is simulated as random variables due to uncertain behaviors from time perspectives. Issues like channel noise and fading effects stand as interrupters of spectrum sensing which make spectrum holes to appear busy due to such incidents. Cognitive Radio network is modeled by using MATLAB software so that both primary and secondary users can sense the spectrum and share the spectrum effectively by employing the approach of waiting time estimator which provides behaviors and activity matrix. Candidates are made to share the spectrum and hereafter transmission delay and throughput are examined when underlay and interweave spectrum sharing were in use. Three techniques are used to share the spectrum which are underlay, interweave and Feed Forward Neural Network. The results shown that feed forward neural network is outperformed in both time delay minimization and throughput enhancement. © 2020 IEEE.
Survey on Interface Usability Evaluation for Oil and Gas Critical Control Systems
(Institute of Electrical and Electronics Engineers Inc., 2021) Alrawi, L.N.; Ashour, O.I.; Zeain, A.; 01. Çankaya Üniversitesi
Usability is the key to develop and improve any system as it represents the direct contact point between users and machines. The use of the critical control system in the oil and gas industry is increasing. Due to the complexity of these systems, its interface usability should be assessed and developed periodically. In this research, the attributes that affect interface usability are identified. The usability of the Torque Turns System (TTS) is evaluated since the periods of downtime is projected to increase in the field. There are some works similar to our work however none of them had collected data directly from real operators from the field. An evaluation of the torque turn system interface usability is performed using questionnaire related to common interface usability attributes including accessibility, learnability, effectiveness, memorability, efficiency, safety, cognitive load, understandability, and satisfaction. The findings indicate a potential weakness in terms of understandability and accessibility © 2021 IEEE.