ABSTRACT
Technological advancements have enabled remote exams as a viable alternative to in-person proctoring. In light of the COVID-19 pandemic, educational institutions relied heavily on remote operation. The sudden shift exposed the weaknesses in available proctoring solutions, as pertains to fairness, economic viability, data privacy, network issues and usability. Moreover, whether they are equal in function to physical proctoring is questionable. Based on extensive research, we establish the system requirements and design for Dr. Proctor, a non-commercial solution that addresses many of the exposed concerns about remote proctoring.
ABSTRACT
Network infrastructures are being continuously challenged by virtue of increased demand, resource-hungry applications, and at times of crisis when people need to work from homes such as the current Covid-19 epidemic situation, where most of the countries applied partial or complete lockdown and most of the people worked from home. Opportunistic Mobile Social Networks (OMSN) prove to be a great candidate to support existing network infrastructures. However, OMSNs have copious challenges comprising frequent disconnections and long delays. In this research, we aim to enhance the performance of OMSNs including delivery ratio and delay. We build upon an interest-aware social forwarding algorithm, namely Interest Aware PeopleRank (IPeR) in two ways 1) By embracing directional forwarding (Directional-IPeR), and (2) By utilizing a combination of Directional forwarding and multi-hop forwarding (DMIPeR). Different interest distributions and users' densities are simulated using the Social-Aware Opportunistic Forwarding Simulator (SAROS). The results show that Directional-IPeR with a tolerance factor of 75% performed the best in terms of delay and delivery ratio compared to IPeR, and two other algorithms, namely MIPeR and DMIPeR. © 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved