J-KICS

Developing a Trading System for the Stock Market Using Sentiment Labeling

Meyong-seok Park Jaeyun Kim
Vol. 47, No. 11, pp. 1900-1907, Nov. 2022

10.7840/kics.2022.47.11.1900

Design and Implementation of the Self-Driving Based Last Mile Delivery System Using SLAM and OCR

Geon-hyeong Park Seong-yun Cho Jae-seong Shin Jong-gun Park Hyun-kyu Yang
Taewoon Kim
Vol. 47, No. 11, pp. 1884-1894, Nov. 2022

10.7840/kics.2022.47.11.1884

Logistics Automation Technology

Comparison on Machince Learning Techniques for Intrusion Detection in Wireless Sensor Network

SungWook Lim Myungsik Yoo
Vol. 47, No. 11, pp. 1804-1814, Nov. 2022

10.7840/kics.2022.47.11.1804

Wireless Sensor Network

Itrusion Detection

Machine Learning

DoS attack

Performance Comparison

Trends in Autonomous Course of Action for Cyber Attacks Using Reinforcement Learning

Seok Bin Son Haemin Lee Soohyun Park Dong Hwa Kim Joongheon Kim

Vol. 47, No. 11, pp. 1776-1787, Nov. 2022

10.7840/kics.2022.47.11.1776

Cyber Attacks

Attack COA

Reinforcement Learning

Penetration Testing

Importance Analysis of Traffic Statistics Information for VPN/NoN-VPN Classification

Min-Seong Lee Jee-Tae Park Ui-Jun Baek Jung-Woo Choi Myung-Sup Kim

Vol. 47, No. 11, pp. 1768-1775, Nov. 2022

10.7840/kics.2022.47.11.1768

Traffic Classification

Machine Learning

Statistical Information

VPN

NoN-VPN

A Study on Object Classification Based on Deep Learning Using Radar Signal According to Invisible Area and MIMO Antenna Configuration

Sang-Won Lee Kae-Won Choi
Vol. 47, No. 9, pp. 1420-1429, Sep. 2022

10.7840/kics.2022.47.9.1420

Radar

MIMO

Object Classification

Invisible Area

Deep Learning

Network Scheduler Based on Reinforcement Learning for Minimizing the Maximum End-to-End Latency

Juhyeok Kwon Jihye Ryu Jinoo Joung
Vol. 47, No. 9, pp. 1330-1340, Sep. 2022

10.7840/kics.2022.47.9.1330

min-max criterion

Reinforcement Learning

double deep Q-learning

prioritized experience replay

end-to-end latency

fairness

Design and Implementation of a Deep Learning-Based Intrusion Detection System in Edge Computing

Jong-Wouk Kim Mi-Jung Choi
Vol. 47, No. 8, pp. 1114-1127, Aug. 2022

10.7840/kics.2022.47.8.1114

An Improvement of Multi-Cluster Stability of Private Cloud Systems through LSTM-Based CPU Usage Prediction

Seon-cheol Park Young-han Kim
Vol. 47, No. 8, pp. 1081-1095, Aug. 2022

10.7840/kics.2022.47.8.1081

Timeslot Scheduling with Reinforcement Learning Using a Double Deep Q-Network

Jihye Ryu Juhyeok Kwon Jinoo Joung
Vol. 47, No. 7, pp. 944-952, Jul. 2022

10.7840/kics.2022.47.7.944

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Developing a Trading System for the Stock Market Using Sentiment Labeling

Design and Implementation of the Self-Driving Based Last Mile Delivery System Using SLAM and OCR

Comparison on Machince Learning Techniques for Intrusion Detection in Wireless Sensor Network

Trends in Autonomous Course of Action for Cyber Attacks Using Reinforcement Learning

Importance Analysis of Traffic Statistics Information for VPN/NoN-VPN Classification

A Study on Object Classification Based on Deep Learning Using Radar Signal According to Invisible Area and MIMO Antenna Configuration

Network Scheduler Based on Reinforcement Learning for Minimizing the Maximum End-to-End Latency

Design and Implementation of a Deep Learning-Based Intrusion Detection System in Edge Computing

An Improvement of Multi-Cluster Stability of Private Cloud Systems through LSTM-Based CPU Usage Prediction

Timeslot Scheduling with Reinforcement Learning Using a Double Deep Q-Network

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