34 citations · 59 across the 14 of their papers we have counts for
15 papers
Enhancing Fault-Tolerant Space Computing: Guidance Navigation and Control (GNC) and Landing Vision System (LVS) Implementations on Next-Gen Multi-Core Processors
Kyongsik Yun, David Bayard, Gerik Kubiak +5
Future planetary exploration missions demand high-performance, fault-tolerant computing to enable autonomous Guidance, Navigation, and Control (GNC) and Lander Vision System (LVS)…
Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets
Nicholas LaHaye, Anistasija Easley, Kyongsik Yun +4
Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) was a field campaign aimed at better understanding the impact of wildfires and agricultural fires on ai…
Remote estimation of geologic composition using interferometric synthetic-aperture radar in California's Central Valley
Kyongsik Yun, Kyra Adams, John Reager +4
California's Central Valley is the national agricultural center, producing 1/4 of the nation's food. However, land in the Central Valley is sinking at a rapid rate (as much as 20 c…
Neurosymbolic hybrid approach to driver collision warning
Kyongsik Yun, Thomas Lu, Alexander Huyen +2
There are two main algorithmic approaches to autonomous driving systems: (1) An end-to-end system in which a single deep neural network learns to map sensory input directly into ap…
Machine Learning Based Relative Orbit Transfer for Swarm Spacecraft Motion Planning
Alex Sabol, Kyongsik Yun, Muhammad Adil +2
In this paper we describe a machine learning based framework for spacecraft swarm trajectory planning. In particular, we focus on coordinating motions of multi-spacecraft in format…
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations
Daniel Lundstrom, Alexander Huyen, Arya Mevada +2
Deep learning (DL) has proven to be an effective machine learning and computer vision technique. DL-based image segmentation, object recognition and classification will aid many in…
Time Series Comparisons in Deep Space Network
Kyongsik Yun, Rishi Verma, Umaa Rebbapragada
The Deep Space Network is NASA's international array of antennas that support interplanetary spacecraft missions. A track is a block of multi-dimensional time series from the begin…
Transforming unstructured voice and text data into insight for paramedic emergency service using recurrent and convolutional neural networks
Kyongsik Yun, Thomas Lu, Alexander Huyen
Paramedics often have to make lifesaving decisions within a limited time in an ambulance. They sometimes ask the doctor for additional medical instructions, during which valuable t…
Smoke Sky -- Exploring New Frontiers of Unmanned Aerial Systems for Wildland Fire Science and Applications
E. Natasha Stavros, Ali Agha, Allen Sirota +3
Wildfire has had increasing impacts on society as the climate changes and the wildland urban interface grows. As such, there is a demand for innovative solutions to help manage fir…
Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks
Kyongsik Yun, Kevin Yu, Joseph Osborne +4
Infrared (IR) images are essential to improve the visibility of dark or camouflaged objects. Object recognition and segmentation based on a neural network using IR images provide m…
Small Target Detection for Search and Rescue Operations using Distributed Deep Learning and Synthetic Data Generation
Kyongsik Yun, Luan Nguyen, Tuan Nguyen +5
It is important to find the target as soon as possible for search and rescue operations. Surveillance camera systems and unmanned aerial vehicles (UAVs) are used to support search…
Deep Neural Networks for Pattern Recognition
Kyongsik Yun, Alexander Huyen, Thomas Lu
In the field of pattern recognition research, the method of using deep neural networks based on improved computing hardware recently attracted attention because of their superior a…
Automatic speech recognition for launch control center communication using recurrent neural networks with data augmentation and custom language model
Kyongsik Yun, Joseph Osborne, Madison Lee +2
Transcribing voice communications in NASA's launch control center is important for information utilization. However, automatic speech recognition in this environment is particularl…
Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks
Kyongsik Yun, Thomas Lu, Edward Chow
Firefighters suffer a variety of life-threatening risks, including line-of-duty deaths, injuries, and exposures to hazardous substances. Support for reducing these risks is importa…
Predicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks
Kyongsik Yun, Jessi Bustos, Thomas Lu
A flashover occurs when a fire spreads very rapidly through crevices due to intense heat. Flashovers present one of the most frightening and challenging fire phenomena to those who…