Digital Library

1. 101. A Research in Applying Big Data and Artificial Intelligence on Defense Metadata using Multi Repository Meta-Data Management (MRMM)
   Philip Wootaek Shin, Jinhee Lee, Jeongwoo Kim, Dongsun Shin, Youngsang Lee, Seung Ho Hwang, Vol. 21, No. 1, pp. 169-178, Feb. 2020
   10.7472/jksii.2020.21.1.169
   Keywords: National Defense, Metadata, Natural Language Processing, Standardized Dictionary, Metadata Management, Big data, Artificial intelligence, Machine Learning
2. 102. Layered Authoring of Cyber Warfare Training Scenario
   Uihyeon Song, Donghwa Kim, Myung Kil Ahn, Vol. 21, No. 1, pp. 191-199, Feb. 2020
   10.7472/jksii.2020.21.1.191
   Keywords: cyber warfare training, scenario authoring, scenario layer, database
3. 103. Short-Term Forecasting of Photovoltaic Power Generation Using TimesNet: A Method of Transforming 1D Time Series Data into 2D Features
   Jung-Hyun Yang, Sang-uk Park, Vol. 25, No. 6, pp. 9-21, Dec. 2024
   10.7472/jksii.2024.25.6.9
   Keywords: TimesNet, solar power generation prediction, short-term prediction, Time Series Data, Energy Management, dimension transformation
4. 104. Analyzing Research Themes and Trends in Living Lab Studies: An Exploratory Approach Using LDA Topic Modeling and Semantic Network Analysis
   Ki-youn Kim, Vol. 25, No. 5, pp. 171-182, Oct. 2024
   10.7472/jksii.2024.25.5.171
   Keywords: Living Lab, Research Trends, LDA Topic Modeling, Semantic Network Analysis, Text Mining, Unstructured Data
5. 105. Study on the method for interoperability of AI model to improve usability of artificial intelligence models in agricultural field
   Jung-Ho Um, Juseop Kim, Hwan Suk Cheong, Vol. 25, No. 5, pp. 153-161, Oct. 2024
   10.7472/jksii.2024.25.5.153
   Keywords: agricultural data, Artificial intelligence, ONNX, interoperability, Data service
6. 106. Reinforced Generator GAN Model for Tabular Data Learning
   Chan-sik Sung, Joon-sik Lim, Vol. 25, No. 5, pp. 121-130, Oct. 2024
   10.7472/jksii.2024.25.5.121
   Keywords: Reinforced Generator, Gower coefficients, mutual information, Clustering sampling, Tabular Data Learning
7. 107. A Study on the Korean Model for Smart Home Telehealth Service
   Hyo-kyung Kim, Chang-soo Kim, Vol. 25, No. 5, pp. 13-22, Oct. 2024
   10.7472/jksii.2024.25.5.13
   Keywords: Telehealth, Video Healthcare, Telemedicine, Smart Home, Chronic Disease, 5G, AI, Blockchain, Big data, Health Information, Healthcare Management, Prevention of Solitary Deaths
8. 108. Multi-Variate Tabular Data Processing and Visualization Scheme for Machine Learning based Analysis: A Case Study using Titanic Dataset
   Juhyoung Sung, Kiwon Kwon, Kyoungwon Park, Byoungchul Song, Vol. 25, No. 4, pp. 121-130, Aug. 2024
   10.7472/jksii.2024.25.4.121
   Keywords: data processing, Data visualization, Kaggle, Machine Learning, statistical analysis, Tabular data, Titanic dataset
9. 109. Federated learning-based client training acceleration method for personalized digital twins
   YoungHwan Jeong, Won-gi Choi, Hyoseon Kye, JeeHyeong Kim, Min-hwan Song, Sang-shin Lee, Vol. 25, No. 4, pp. 23-37, Aug. 2024
   10.7472/jksii.2024.25.4.23
   Keywords: Digital Twin, Federated learning, Vector database, training optimization, Privacy, similarity search
10. 110. Selection Criteria of Target Systems for Quality Management of National Defense Data
    Jiseong Son, Yun-Young Hwang, Vol. 24, No. 6, pp. 155-160, Dec. 2023
    10.7472/jksii.2023.24.6.155
    Keywords: National Defense Data, Data Quality Management, Key Target System, Criteria of Quality Management