33 citations · 47 across the 25 of their papers we have counts for
25 papers
Frequency Hopping Synchronization by Reinforcement Learning for Satellite Communication System
Inkyu Kim, Sangkeum Lee, Haechan Jeong +2
Satellite communication systems (SCSs) used for tactical purposes require robust security and anti-jamming capabilities, making frequency hopping (FH) a powerful option. However, t…
Continuous Adversarial Text Representation Learning for Affective Recognition
Seungah Son, Andrez Saurez, Dongsoo Har
While pre-trained language models excel at semantic understanding, they often struggle to capture nuanced affective information critical for affective recognition tasks. To address…
Virtual Action Actor-Critic Framework for Exploration (Student Abstract)
Bumgeun Park, Taeyoung Kim, Quoc-Vinh Lai-Dang +1
Efficient exploration for an agent is challenging in reinforcement learning (RL). In this paper, a novel actor-critic framework namely virtual action actor-critic (VAAC), is propos…
Enhanced Transformer Architecture for Natural Language Processing
Woohyeon Moon, Taeyoung Kim, Bumgeun Park +1
Transformer is a state-of-the-art model in the field of natural language processing (NLP). Current NLP models primarily increase the number of transformers to improve processing pe…
Sensor Fusion by Spatial Encoding for Autonomous Driving
Quoc-Vinh Lai-Dang, Jihui Lee, Bumgeun Park +1
Sensor fusion is critical to perception systems for task domains such as autonomous driving and robotics. Recently, the Transformer integrated with CNN has demonstrated high perfor…
Road Redesign Technique Achieving Enhanced Road Safety by Inpainting with a Diffusion Model
Sumit Mishra, Medhavi Mishra, Taeyoung Kim +1
Road infrastructure can affect the occurrence of road accidents. Therefore, identifying roadway features with high accident probability is crucial. Here, we introduce image inpaint…
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error
Bumgeun Park, Taeyoung Kim, Woohyeon Moon +2
Training agents via off-policy deep reinforcement learning (RL) requires a large memory, named replay memory, that stores past experiences used for learning. These experiences are…
Reinforcement Learning for Predicting Traffic Accidents
Injoon Cho, Praveen Kumar Rajendran, Taeyoung Kim +1
As the demand for autonomous driving increases, it is paramount to ensure safety. Early accident prediction using deep learning methods for driving safety has recently gained much…
Kick-motion Training with DQN in AI Soccer Environment
Bumgeun Park, Jihui Lee, Taeyoung Kim +1
This paper presents a technique to train a robot to perform kick-motion in AI soccer by using reinforcement learning (RL). In RL, an agent interacts with an environment and learns…
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective
Praveen Kumar Rajendran, Quoc-Vinh Lai-Dang, Luiz Felipe Vecchietti +1
Identifying the camera pose for a given image is a challenging problem with applications in robotics, autonomous vehicles, and augmented/virtual reality. Lately, learning-based met…
Power Management in Smart Residential Building with Deep Learning Model for Occupancy Detection by Usage Pattern of Electric Appliances
Sangkeum Lee, Sarvar Hussain Nengroo, Hojun Jin +4
With the growth of smart building applications, occupancy information in residential buildings is becoming more and more significant. In the context of the smart buildings' paradig…
Reinforcement Learning-Based Cooperative P2P Power Trading between DC Nanogrid Clusters with Wind and PV Energy Resources
Sangkeum Lee, Sarvar Hussain Nengroo, Hojun Jin +4
In replacing fossil fuels with renewable energy resources for carbon neutrality, the unbalanced resource production of intermittent wind and photovoltaic (PV) power is a critical i…
Path Planning of Cleaning Robot with Reinforcement Learning
Woohyeon Moon, Bumgeun Park, Sarvar Hussain Nengroo +2
Recently, as the demand for cleaning robots has steadily increased, therefore household electricity consumption is also increasing. To solve this electricity consumption issue, the…
Anomaly Detection of Smart Metering System for Power Management with Battery Storage System/Electric Vehicle
Sangkeum Lee, Sarvar Hussain Nengroo, Hojun Jin +4
A novel smart metering technique capable of anomaly detection was proposed for real-time home power management system. Smart meter data generated in real-time was obtained from 900…
Development of Charging, Discharging Scheduling Algorithm for Economical and Energy Efficient Operation of Multi EV Charging Station
Hojun Jin, Sangkeum Lee, Sarvar Hussain Nengroo +1
As the number of electric vehicles (EVs) significantly increases, the excessive charging demand of parked EVs in the charging station may incur an instability problem to the electr…
RelMobNet: End-to-end relative camera pose estimation using a robust two-stage training
Praveen Kumar Rajendran, Sumit Mishra, Luiz Felipe Vecchietti +1
Relative camera pose estimation, i.e. estimating the translation and rotation vectors using a pair of images taken in different locations, is an important part of systems in augmen…
Sensing accident-prone features in urban scenes for proactive driving and accident prevention
Sumit Mishra, Praveen Kumar Rajendran, Luiz Felipe Vecchietti +1
In urban cities, visual information on and along roadways is likely to distract drivers and lead to missing traffic signs and other accident-prone (AP) features. To avoid accidents…
Optimal Scheduling of Energy Storage for Power System with Capability of Sensing Short-term Future PV Power Production
Sarvar Hussain Nengroo, Sangkeum Lee, Hojun Jin +1
Constant rise in energy consumption that comes with the population growth and introduction of new technologies has posed critical issues such as efficient energy management on the…
Socially acceptable route planning and trajectory behavior analysis of personal mobility device for mobility management with improved sensing
Sumit Mishra, Praveen Kumar Rajendran, Dongsoo Har
In urban cities, with increasing acceptability of shared spaces used by pedestrians and personal mobility devices (PMDs), there is need for pragmatic socially ac-ceptable path plan…
Reinforcement Learning for Navigation of Mobile Robot with LiDAR
Inhwan Kim, Sarvar Hussain Nengroo, Dongsoo Har
This paper presents a technique for navigation of mobile robot with Deep Q-Network (DQN) combined with Gated Recurrent Unit (GRU). The DQN integrated with the GRU allows action ski…
Smart Metering System Capable of Anomaly Detection by Bi-directional LSTM Autoencoder
Sangkeum Lee, Hojun Jin, Sarvar Hussain Nengroo +4
Anomaly detection is concerned with a wide range of applications such as fault detection, system monitoring, and event detection. Identifying anomalies from metering data obtained…
Power Management of Microgrid Integrated with Electric Vehicles in Residential Parking Station
Hojun Jin, Sarvar Hussain Nengroo, Sangkeum Lee +1
Lately, increasing number of electric vehicles (EVs) in residential parking station has become an important issue, because excessive number of EVs can destabilize the power system…
Two-stage training algorithm for AI robot soccer
Taeyoung Kim, Luiz Felipe Vecchietti, Kyujin Choi +2
In multi-agent reinforcement learning, the cooperative learning behavior of agents is very important. In the field of heterogeneous multi-agent reinforcement learning, cooperative…
Performance Analysis of a Cognitive Radio Network with an Energy Harvesting Secondary Transmitter under Nakagami-m Fading
Binh Van Nguyen, Hyoyoung Jung, Dongsoo Har +1
In this paper, we consider an overlay cognitive radio network, in which a secondary transmitter (ST) is willing to relay the information of a primary transmitter toward a primary r…