249 citations · 263 across the 26 of their papers we have counts for
6 papers · 1 filter
Workload-Aware Scheduling using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks
Soohyun Park, Chanyoung Park, Soyi Jung +2
In modern networking research, infrastructure-assisted unmanned autonomous vehicles (UAVs) are actively considered for real-time learning-based surveillance and aerial data-deliver…
Age-of-Information Aware Contents Caching and Distribution for Connected Vehicles
Soohyun Park, Chanyoung Park, Soyi Jung +2
To support rapid and accurate autonomous driving services, road environment information, which is difficult to obtain through vehicle sensors themselves, is collected and utilized…
Quality-Aware Real-Time Augmented Reality Visualization under Delay Constraints
Rhoan Lee, Soohyun Park, Soyi Jung +1
Augmented reality (AR) is one of emerging applications in modern multimedia systems research. Due to intensive time-consuming computations for AR visualization in mobile devices, q…
AoI-Aware Markov Decision Policies for Caching
Soohyun Park, Soyi Jung, Minseok Choi +1
We consider a scenario that utilizes road side units (RSUs) as distributed caches in connected vehicular networks. The goal of the use of caches in our scenario is for rapidly prov…
Secure Aerial Surveillance using Split Learning
Yoo Jeong Ha, Minjae Yoo, Soohyun Park +2
Personal monitoring devices such as cyclist helmet cameras to record accidents or dash cams to catch collisions have proliferated, with more companies producing smaller and compact…
Reinforced Edge Selection using Deep Learning for Robust Surveillance in Unmanned Aerial Vehicles
Soohyun Park, Jeman Park, David Mohaisen +1
In this paper, we propose a novel deep Q-network (DQN)-based edge selection algorithm designed specifically for real-time surveillance in unmanned aerial vehicle (UAV) networks. Th…