Digital Library

1. 61. A Study on Model for Drivable Area Segmentation based on Deep Learning
   Hyo-jin Jeon, Soo-sun Cho, Vol. 20, No. 5, pp. 105-111, Oct. 2019
   10.7472/jksii.2019.20.5.105
   Keywords: Drivable area segmentation, segmentation, Deep Learning, DeepLab V3+, Mask R-CNN, BDD Dataset
2. 62. Pedestrian Classification using CNN's Deep Features and Transfer Learning
   Soyoung Chung, Min Gyo Chung, Vol. 20, No. 4, pp. 91-102, Aug. 2019
   10.7472/jksii.2019.20.4.91
   Keywords: Pedestrian Classification, Transfer Learning, Deep Features, CNN, INRIA Person Data Set
3. 63. A Study on the Pipe Position Estimation in GPR Images Using Deep Learning Based Convolutional Neural Network
   Jihun Chae, Hyoung-yong Ko, Byoung-gil Lee, Namgi Kim, Vol. 20, No. 4, pp. 39-46, Aug. 2019
   10.7472/jksii.2019.20.4.39
   Keywords: sink holes, pipe, GPR, Image recognition, underground detection, CNN, deep-learning
4. 64. Understanding the Omni-Channel Acceptance: Focused on TTF and UTAUT Models
   Dong Hyuk Jo, Sang Min Lee, Vol. 20, No. 1, pp. 113-124, Feb. 2019
   10.7472/jksii.2019.20.1.113
   Keywords: Omni-Channel, Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM), Task-technology fit (TTF), Intention to Use
5. 65. Visualization of Malwares for Classification Through Deep Learning
   Hyeonggyeom Kim, Seokmin Han, Suchul Lee, Jun-Rak Lee, Vol. 19, No. 5, pp. 67-75, Oct. 2018
   10.7472/jksii.2018.19.5.67
   Keywords: Malware visualization, mawlare detection and classification, Deep Learning, CNN
6. 66. Millennial Generation’s Mobile News Consumption and the Impact of Social Media
   Jinah Seol, Vol. 19, No. 4, pp. 123-133, Aug. 2018
   10.7472/jksii.2018.19.4.123
   Keywords: Millennial Generation, Mobile News, SNS, News Topics, News values, Reaction
7. 67. Detecting code reuse attack using RNN
   Jin-sub Kim, Jong-sub Moon, Vol. 19, No. 3, pp. 15-23, Jun. 2018
   10.7472/jksii.2018.19.3.15
   Keywords: code reuse attack, ROP(Return-Oriented Programming), RNN(Recurrent Neural Network)
8. 68. Intra-organizational Conflict and Innovative Performance in Media Industry: An Exploratory Simulation Study
   Youngjoon Cheon, Seong Bin Jeong, Kyu Tae Kwak, Vol. 19, No. 2, pp. 89-98, Apr. 2018
   10.7472/jksii.2018.19.2.89
   Keywords: Organizational Conflict, Intra-firm Conflict, Innovative Performance, Behavioral Theory of the Firm, NK Simulation
9. 69. Privacy-Preserving DNA Matching Protocol
   Geontae Noh, Vol. 19, No. 2, pp. 1-7, Apr. 2018
   10.7472/jksii.2018.19.2.1
   Keywords: Privacy-Preserving Inner Product, DNA Matching Protocol
10. 70. Malware Image Classification with Dilated Convolution and Channel Attention in ConvNeXt-Tiny
    Joon-soo Shim, Chan-ho Lee, Jong-geun Choi, Hyuk-jin Kwon, Vol. 27, No. 1, pp. 27-38, Feb. 2026
    10.7472/jksii.2026.27.1.27
    Keywords: Malware classification, Transfer Learning, Deep Learning, ConvNeXt, Dilated Convolution, channel attention, Low-label Learning, Image-based Malware Detection, Generalization performance, cybersecurity