3 papers
astro-ph.EP2025
Increasing Determinism of All-vs-all Orbital Evolution Simulators
Enrico M. Zucchelli, Daniel Jang, Richard Linares
All-vs-all orbital evolutionary simulations for the low Earth orbit (LEO) simulate the long term evolution of the LEO environment. Although these simulations typically offer the hi…
cs.PF2025
PixLift: Accelerating Web Browsing via AI Upscaling
Yonas Atinafu, Sarthak Malla, HyunSeok Daniel Jang +3
Accessing the internet in regions with expensive data plans and limited connectivity poses significant challenges, restricting information access and economic growth. Images, as a…
astro-ph.EP2024
A New Monte-Carlo Model for the Space Environment
Daniel Jang, Davide Gusmini, Peng Mun Siew +4
This paper introduces a novel Monte Carlo (MC) method to simulate the evolution of the low-earth orbit environment, enhancing the MIT Orbital Capacity Analysis Tool (MOCAT). In rec…