Digital Library

1. 1. A Study on the Estimation and Interpretation of Force Direction in Distorted Fingerprints Using Deep Learning
   WonJun Choi, JeSeol Yu, Vol. 26, No. 2, pp. 51-60, Apr. 2025
   10.7472/jksii.2025.26.2.51
   Keywords: forensic, scientific ciriminal investigation, activity level, Fingerprint, Deep Learning
2. 2. Effectiveness Analysis of Computer Science Textbooks focusing on Digital Therapeutics
   Eunsun Choi, Namje Park, Vol. 25, No. 3, pp. 9-18, Jun. 2024
   10.7472/jksii.2024.25.3.9
   Keywords: Digital Therapeutics, Computer Science Textbook, Creative Problem-Solving, Self-Efficacy, Attention Deficit Hyperactivity Disorder, Digital Drama
3. 3. A Study on the Effect of Characteristics of Online Streaming Course on Learning Satisfaction and Recommendation Intention
   LiuCun Zhu, HuiJun Yang, Xuejin Jiang, HaSung Hwang, Vol. 23, No. 5, pp. 59-68, Oct. 2022
   10.7472/jksii.2022.23.5.59
   Keywords: Online streaming class, Learning Satisfaction, Interest, interactivity, Social presence
4. 4. Development of a Hybrid Deep-Learning Model for the Human Activity Recognition based on the Wristband Accelerometer Signals
   Seungmin Jeong, Dongik Oh, Vol. 22, No. 3, pp. 9-16, Jun. 2021
   10.7472/jksii.2021.22.3.9
   Keywords: Activities of Daily Living, Human Activity Recognition, Smartwatch, Accelerometer, Machine Learning, Activity Classification, feature extraction, feature reduction
5. 5. COVID-19 Risk Analytics and Safe Activity Assistant Systemwith Machine Learning Algorithms
   DoYeong Jeon, Myeong Ho Song, Soo Dong Kim, Vol. 22, No. 1, pp. 65-77, Feb. 2021
   10.7472/jksii.2021.22.1.65
   Keywords: COVID-19, Machine Learning, clustering, Risk Analytics, Safe Activity Assistance
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. Development of a Machine-Learning based Human Activity Recognition System including Eastern-Asian Specific Activities
   Seungmin Jeong, Cheolwoo Choi, Dongik Oh, Vol. 21, No. 4, pp. 127-135, Aug. 2020
   10.7472/jksii.2020.21.4.127
   Keywords: Human Activity Recognition, Smartwatch, Accelerometer, Machine Learning, Activity Classification, feature extraction, feature reduction
8. 8. A comparative study of Korean and Chinese BTS female fandom: The effect of Fandom activity on life satisfaction
   XueJin Jiang, SaRuLa, HaSung Hwang, Vol. 21, No. 4, pp. 59-68, Aug. 2020
   10.7472/jksii.2020.21.4.59
   Keywords: BTS Fandom Activity, Star Attributes, Illusory Romance, Daily Happiness
9. 9. A Longitudinal Study on Customers’ Usable Features and Needs of Activity Trackers as IoT based Devices
   Suk-Ki Hong, Sang-Chul Yoon, Vol. 20, No. 1, pp. 17-24, Feb. 2019
   10.7472/jksii.2019.20.1.17
   Keywords: Internet of Things (IoT), Activity Trackers, longitudinal study, Variance of Analysis (ANOVA), Word Clouding Technique
10. 10. A Method for Body Keypoint Localization based on Object Detection using the RGB-D information
    Seohee Park, Junchul Chun, Vol. 18, No. 6, pp. 85-92, Dec. 2017
    10.7472/jksii.2017.18.6.85
    Keywords: video surveillance, Object Detection, Body Keypoint Localization, Convolutional Pose Machines, Belief Map, Human Activity Recognition