Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Bong Jun Choi"'
Autor:
Neeraj Joshi, Ishan Budhiraja, Abhay Bansal, Sahil Garg, Bong Jun Choi, Mohammad Mehedi Hassan
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 103-116 (2024)
Devices that are employed in applications related to the Internet of Things (IoT) are constrained by limited energy resources. Consequently, ensuring a continuous supply of energy while also maintaining uninterrupted connectivity within IoT units (Io
Externí odkaz:
https://doaj.org/article/6e2471329d1149d4824168d6c963ccee
Publikováno v:
Alexandria Engineering Journal, Vol 91, Iss , Pp 1-11 (2024)
The fifth generation (5G) network enabled communication between devices has emerged as a state-of-the-art technology. In the era of proliferating smart devices and intelligent wireless communication networks, Reflecting Intelligent Surfaces (RIS) and
Externí odkaz:
https://doaj.org/article/dc5434967f6543bf8b74821ec450a1d6
Publikováno v:
Alexandria Engineering Journal, Vol 90, Iss , Pp 208-215 (2024)
Simultaneous wireless information and power transfer (SWIPT) is a method through which users can simultaneously obtain energy and receive data from the base station (BS). This allows them to charge their batteries, which have limited power capacity,
Externí odkaz:
https://doaj.org/article/ba7c85520d0a437a937bbbec7c30a7e8
Publikováno v:
Alexandria Engineering Journal, Vol 86, Iss , Pp 56-66 (2024)
The exponential proliferation of wearable medical apparatus and healthcare information within the framework of the Internet of Medical Things (IoMT) introduces supplementary complexities pertaining to the elevated Quality of Service (QoS) of intellig
Externí odkaz:
https://doaj.org/article/e0e3ffb08ca94aef9d7f91d070cce0f0
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7993 (2024)
Privacy must be preserved when working with client data in machine learning. Federated learning (FL) provides a way to preserve user data privacy by aggregating locally trained models without sharing the user data. Still, the privacy of user identity
Externí odkaz:
https://doaj.org/article/2da60ff7b0914ebfb1ea82741268ca34
Publikováno v:
Alexandria Engineering Journal, Vol 80, Iss , Pp 417-424 (2023)
In smart enterprise systems, augmented IoT can efficiently improve the decision-making, handling, and generation of a huge amount of information during communication. However, Augmented Internet-of-Things (AIoT) leads to various security and trust is
Externí odkaz:
https://doaj.org/article/050b184284834d14bd2b4b07ab7fb40d
Autor:
Geetanjali Rathee, Sahil Garg, Georges Kaddoum, Bong Jun Choi, Abderrahim Benslimane, Mohammad Mehedi Hassan
Publikováno v:
Alexandria Engineering Journal, Vol 78, Iss , Pp 131-140 (2023)
To ensure better facilitation of vehicular services and improve driving safety in the Internet of Vehicles (IoV), context prediction among vehicles plays a very crucial role. However, as more malicious IoV devices get involved in the network, the con
Externí odkaz:
https://doaj.org/article/67c0781322bf445685111e05119ebe25
Publikováno v:
ICT Express, Vol 9, Iss 4, Pp 748-753 (2023)
Drones have gained increasing attention in the healthcare industry for mobility and accessibility to remote areas. This perspective-based study proposes a drone-based sample collection system whereby COVID-19 self-testing kits are delivered to and co
Externí odkaz:
https://doaj.org/article/b78a91b72fe74a10ba2e66064b159d80
Publikováno v:
Sensors, Vol 24, Iss 11, p 3632 (2024)
The growth of IoT healthcare is aimed at providing efficient services to patients by utilizing data from local hospitals. However, privacy concerns can impede data sharing among third parties. Federated learning offers a solution by enabling the trai
Externí odkaz:
https://doaj.org/article/e03c3763ad41499da9be71e7a12bd41d
Autor:
Kemal Gökhan Nalbant, Sultan Almutairi, Asma Hassan Alshehri, Hayle Kemal, Suliman A Alsuhibany, Bong Jun Choi
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0305092 (2024)
This paper proposes a novel cache replacement technique based on the notion of combining periodic popularity prediction with size caching. The popularity, size, and time updates characteristics are used to calculate the value of each cache item. When
Externí odkaz:
https://doaj.org/article/31011641f41c4f328c263867b2993b70