Yazar "Muneer, A." seçeneğine göre listele

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    Medi-Block Record Secure Data Sharing in Healthcare System: Issues, Solutions and Challenges
    (Tech Science Press, 2023) Zukarnain, Z.A.; Muneer, A.; Nassir, N.A.M.; Almohammedi, A.A.
    With the advancements in the era of artificial intelligence, blockchain, cloud computing, and big data, there is a need for secure, decentralized medical record storage and retrieval systems. While cloud storage solves storage issues, it is challenging to realize secure sharing of records over the network. Medi-block record in the healthcare system has brought a new digitalization method for patients’ medical records. This centralized technology provides a symmetrical process between the hospital and doctors when patients urgently need to go to a different or nearby hospital. It enables electronic medical records to be available with the correct authentication and restricts access to medical data retrieval. Medi-block record is the consumer-centered healthcare data system that brings reliable and transparent datasets for the medical record. This study presents an extensive review of proposed solutions aiming to protect the privacy and integrity of medical data by securing data sharing for Medi-block records. It also aims to propose a comprehensive investigation of the recent advances in different methods of securing data sharing, such as using Blockchain technology, Access Control, Privacy-Preserving, Proxy Re-Encryption, and Service-On-Chain approach. Finally, we highlight the open issues and identify the challenges regarding secure data sharing for Medi-block records in the healthcare systems. © 2023 CRL Publishing. All rights reserved.
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    Real Life Monitoring of Conveyor Line Speed Using IoT and Raspberry Pi
    (Institute of Electrical and Electronics Engineers Inc., 2021) Al-Shahethi, M.G.; Muneer, A.; Ghaleb, E.A.A.; Darshi, S.; Almohammedi, A.A.
    Manual monitoring is time-consuming and frustrates the industry with high costs and delays in the process. This study presented a remote monitoring system for a direct current (DC) motor based on Internet of Things (IoT) for safe and economic data communication in industrial fields. A single sensor monitors the DC motor speed and sends it to the Raspberry Pi microcontroller, which sends it to the cloud database for remote monitoring. The system also presents the manual control methods to adjust the motor speed using a simple potentiometer. Therefore, the proposed system has three functions: measuring, monitoring, and controlling. Measuring is based on an optoisolator sensor and an Arduino Mega microcontroller. Controlling is based on the Potentiometer, Arduino Uno, and a motor drive circuit. Monitoring is based on Raspberry Pi and ThingSpeak platform. Firstly, the speed sensor HC-020K senses the speed Data. Secondly, Arduino Mega extracts the HC-020K sensor's data as a suitable revolution per minute and sends it to Raspberry Pi. Thirdly, Raspberry Pi sends the data to ThingSpeak's Server. Lastly, based on the experiments performed, the system has proved to be very useful and reliable. © 2021 IEEE.