Digital Library

1. 71. A Study on Time-Series Prediction of Restoring Arm (GZ) and Risk Assessment Using Multi-DOF Ship Motion Data
   Hyungtak Ju, Kyoungwon Park, Juhyoung Sung, Kiwon Kwon, Byoungchul Song, Taeho Im, Vol. 26, No. 5, pp. 65-74, Oct. 2025
   10.7472/jksii.2025.26.5.65
   Keywords: Ship Stability, Ship Safety, Time-Series Forecasting, Transformer-based Models
2. 72. Time Series Forecasting Using RAG-based News Information and Large Language Models: A Case Study on COVID-19 Data
   Dongkuk Kim, Yeonjun Choi, Beakcheol Jang, Vol. 26, No. 4, pp. 79-88, Aug. 2025
   10.7472/jksii.2025.26.4.79
   Keywords: Time Series Forecasting, Large Language Model (LLM), COVID-19, RAG, Natural language-based time series forecasting
3. 73. Explosive Classification and Algorithm Performance Comparison Based on IMS Data in Port Containers
   Hyung-Tak Ju, Sae-Yong Park, Sung-Yoon Cho, Ki-Won Kwon, Tae-Ho Im, Vol. 26, No. 1, pp. 35-44, Feb. 2025
   10.7472/jksii.2025.26.1.35
   Keywords: explosive classification, Time series Classification, Machine Learning
4. 74. 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
5. 75. Fine-tuning BERT-based NLP Models for Sentiment Analysis of Korean Reviews: Optimizing the sequence length
   Sunga Hwang, Seyeon Park, Beakcheol Jang, Vol. 25, No. 4, pp. 47-56, Aug. 2024
   10.7472/jksii.2024.25.4.47
   Keywords: BERT, hyperparameter fine-tuning, input sequence length, topic modeling, sentiment analysis, Korean review analysis
6. 76. Analysis of Users’ Sentiments and Needs for ChatGPT through Social Media on Reddit
   Hye-In Na, Byeong-Hee Lee, Vol. 25, No. 2, pp. 79-92, Apr. 2024
   10.7472/jksii.2024.25.2.79
   Keywords: ChatGPT, Reddit, Needmining, sentiment analysis, topic modeling
7. 77. A Study on Machine Learning-Based Real-Time Gesture Classification Using EMG Data
   Ha-Je Park, Hee-Young Yang, So-Jin Choi, Dae-Yeon Kim, Choon-Sung Nam, Vol. 25, No. 2, pp. 57-67, Apr. 2024
   10.7472/jksii.2024.25.2.57
   Keywords: EMG, Machine Learning, Real time gestuer classification, EMG data preprocessing
8. 78. Efficient Time-Series Similarity Measurement and Ranking Based on Anomaly Detection
   Ji-Hyun Choi, Hyun Ahn, Vol. 25, No. 2, pp. 39-47, Apr. 2024
   10.7472/jksii.2024.25.2.39
   Keywords: Time-series Similarity, Anomaly Detection, Subsequences, Spearman’s Rank Correlation Coefficient
9. 79. A study on the design of an efficient hardware and software mixed-mode image processing system for detecting patient movement
   Seungmin Jung, Euisung Jung, Myeonghwan Kim, Vol. 25, No. 1, pp. 29-37, Feb. 2024
   10.7472/jksii.2024.25.1.29
   Keywords: Mixed mode design, motion detection, Real-time tracking, RTL(Register Transfer Level), Logic synthesis
10. 80. Optimizing Language Models through Dataset-Specific Post-Training: A Focus on Financial Sentiment Analysis
    Hui Do Jung, Jae Heon Kim, Beakcheol Jang, Vol. 25, No. 1, pp. 57-67, Feb. 2024
    10.7472/jksii.2024.25.1.57
    Keywords: BERT, FinBERT, Financial Sentiment Analysis, post-training, Pre-training Dataset