Digital Library

1. 1. Development of a Unity-Based 3D Simulation Tool for NCS-Based Aircraft Maintenance Training
   Tae-Gyoon Lee, Jung-Ho Eom, Vol. 26, No. 5, pp. 103-112, Oct. 2025
   10.7472/jksii.2025.26.5.103
   Keywords: Aircraft Maintenance, NCS-Based Practical Training, Unity-Based, 3D Simulation Tool, development
2. 2. 3D Motion Capture based Physical Fitness using Full Body Tracking Suit
   Imran Ghani, Emily Hattman, David T. Smith, Muhammad Hasnain, Israr Ghani, Seung Ryul Jeong, Vol. 24, No. 4, pp. 47-56, Aug. 2023
   10.7472/jksii.2023.24.4.47
   Keywords: Motion Capture, 3D View, Virtual reality, physical fitness, COVID
3. 3. Improving the Accuracy of Additive Manufacturing Processes with a Deep Learning Prediction Model
   Oakyoung Han, Vol. 24, No. 3, pp. 99-106, Jun. 2023
   10.7472/jksii.2023.24.3.99
   Keywords: 3D Printing, Additive manufacturing, Deep Learning, voxelization, adaptive histogram equalization
4. 4. Improved Parameter Inference for Low-Cost 3D LiDAR-Based Object Detection on Clustering Algorithms
   Da-hyeon Kim, Jun-ho Ahn, Vol. 23, No. 6, pp. 71-78, Dec. 2022
   10.7472/jksii.2022.23.6.71
   Keywords: 3D LiDAR, clustering, Object Detection, Fusion camera, Hyper-parameter
5. 5. Super Metric: Quality Assessment Methods for Immersive Video
   Jong-Beom Jeong, Seunghwan Kim, Soonbin Lee, Inae Kim, Eun-Seok Ryu, Vol. 22, No. 2, pp. 51-58, Apr. 2021
   10.7472/jksii.2021.22.2.51
   Keywords: 3DoF+, 6DoF, Immersive Video, quality assessment, Virtual reality
6. 6. A method of generating virtual shadow dataset of buildings for the shadow detection and removal
   Kangjik Kim, Junchul Chun, Vol. 21, No. 5, pp. 49-56, Oct. 2020
   10.7472/jksii.2020.21.5.49
   Keywords: Unity3D, Shadow Dataset, Deep Learning, Satellite shadow data, Building shadow data
7. 7. A Sketch-based 3D Object Retrieval Approach for Augmented Reality Models Using Deep Learning
   Myunggeun Ji, Junchul Chun, Vol. 21, No. 1, pp. 33-43, Feb. 2020
   10.7472/jksii.2020.21.1.33
   Keywords: Convolutional Neural Network, object retrieval, Deep Learning, Sketch-based 3D object retrieval, Augmented Reality
8. 8. Sketch-based 3D object retrieval using Wasserstein Center Loss
   Myunggeun Ji, Junchul Chun, Namgi Kim, Vol. 19, No. 6, pp. 91-99, Dec. 2018
   10.7472/jksii.2018.19.6.91
   Keywords: Convolutional Neural Network, Image retrieval, Deep Learning, Sketch-based 3D object retrieval
9. 9. A Robust Object Detection and Tracking Method using RGB-D Model
   Park, Seohee;Chun, Junchul;, Vol. 18, No. 4, pp. 61-68, Aug. 2017
   10.7472/jksii.2017.18.4.61
   Keywords: 3D CCTV, video surveillance, Object Detection, object tracking, Depth Map, Image Segmentation
10. 10. An Approach to implement Virtual 3D-Touch using 2D-Touch based Smart Device through User Force Input Behavior Pattern
    ChoonSung Nam, Vol. 17, No. 6, pp. 41-52, Dec. 2016
    10.7472/jksii.2016.17.6.41
    Keywords: 3D-Touch, Force Touch, Virtual 3D-Touch, Smart Device, force threshold