Digital Library

1. 1. Cyberattack Goal Classification Based on MITRE ATT&CK: CIA Labeling
   Chan Ho Shin, Chang-hee Choi, Vol. 23, No. 6, pp. 15-26, Dec. 2022
   10.7472/jksii.2022.23.6.15
   Keywords: Labeling, Machine Learning, Deep Learning, MITRE ATT&CK, TTP, CIA triad
2. 2. A Study on the Evaluation of Classification Performance by Capacity of Explosive Components using Convolution Neural Network (CNN)
   Chang-Hyeon Lee, Sung-Yoon Cho, Ki-Won Kwon, Tae-Ho Im, Vol. 23, No. 4, pp. 11-19, Aug. 2022
   10.7472/jksii.2022.23.4.11
   Keywords: Deep Learning, explosive classification, abnormality detection system
3. 3. Deep Learning Based Rescue Requesters Detection Algorithm for Physical Security in Disaster Sites
   Da-hyeon Kim, Man-bok Park, Jun-ho Ahn, Vol. 23, No. 4, pp. 57-64, Aug. 2022
   10.7472/jksii.2022.23.4.57
   Keywords: Risk of building, Physical Security, Deep Learning, Disaster sites, Object Detection
4. 4. Deep Learning based Abnormal Vibration Prediction of Drone
   Jun-Ki Hong, Yang-Kyoo Lee, Vol. 22, No. 3, pp. 67-73, Jun. 2021
   10.7472/jksii.2021.22.3.67
   Keywords: Deep Learning, RNN, LSTM, Drone, Motor, Vibration
5. 5. A Noise-Tolerant Hierarchical Image Classification System based on Autoencoder Models
   Jong-kwan Lee, Vol. 22, No. 1, pp. 23-30, Feb. 2021
   10.7472/jksii.2021.22.1.23
   Keywords: Image Classification, Deep Learning, Machine Learning, Autoencoder, noise
6. 6. Deep Learning-Based User Emergency Event Detection Algorithms Fusing Vision, Audio, Activity and Dust Sensors
   Ju-ho Jung, Do-hyun Lee, Seong-su Kim, Jun-ho Ahn, Vol. 21, No. 5, pp. 109-118, Oct. 2020
   10.7472/jksii.2020.21.5.109
   Keywords: vision, Audio, Activity, Dust, Sensors, Deep Learning, abnormal event, patterns
7. 7. An LSTM Neural Network Model for Forecasting Daily Peak Electric Load of EV Charging Stations
   Haesung Lee, Byungsung Lee, Hyun Ahn, Vol. 21, No. 5, pp. 119-127, Oct. 2020
   10.7472/jksii.2020.21.5.119
   Keywords: EV, Peak electric load, Load forecasting, Deep Learning, LSTM
8. 8. A Comparative Study on the Effective Deep Learning for Fingerprint Recognition with Scar and Wrinkle
   JunSeob Kim, BeanBonyka Rim, Nak-Jun Sung, Min Hong, Vol. 21, No. 4, pp. 17-23, Aug. 2020
   10.7472/jksii.2020.21.4.17
   Keywords: Deep Learning, Biometric information, 2D Convolutional Neural Network, discriminating of scar fingerprint, discriminating of wrinkle fingerprint
9. 9. Design of Video Pre-processing Algorithm for High-speed Processing of Maritime Object Detection System and Deep Learning based Integrated System
   Hyun-hak Song, Hyo-chan Lee, Sung-ju Lee, Ho-seok Jeon, Tae-ho Im, Vol. 21, No. 4, pp. 117-126, Aug. 2020
   10.7472/jksii.2020.21.4.117
   Keywords: Ship Detection, Deep Learning, image processing, Binarization, Horizon Detection, Multi Connected-component Labeling
10. 10. Intelligent Railway Detection Algorithm Fusing Image Processing and Deep Learning for the Prevent of Unusual Events
    Ju-ho Jung, Da-hyeon Kim, Chul-su Kim, Ryum-duck Oh, Jun-ho Ahn, Vol. 21, No. 4, pp. 109-116, Aug. 2020
    10.7472/jksii.2020.21.4.109
    Keywords: Rapid-transit railway, Railway, Deep Learning, Fusion