Digital Library

1. 1. A Conceptual Architecture and its Experimental Validation of CCTV-Video Object Activitization for Tangible Assets of Experts’ Visual Knowledge in Smart Factories
   Eun-Bi Cho, Dinh-Lam Pham, Kyung-Hee Sun, Kwanghoon Pio Kim, Vol. 25, No. 2, pp. 101-111, Apr. 2024
   10.7472/jksii.2024.25.2.101
   Keywords: Smart Factory, Working Knowledge, Tangible Asseits of Experts’ Knowledge, Deep-Learning Neural Network Moddls and Frameworks, CCTV-Video Object-Contexualization
2. 2. Development of deep learning network based low-quality image enhancement techniques for improving foreign object detection performance
   Ki-Yeol Eom, Byeong-Seok Min, Vol. 25, No. 1, pp. 99-107, Feb. 2024
   10.7472/jksii.2024.25.1.99
   Keywords: Foreign material; detection; Super resolution, X-ray, deep-learning
3. 3. Deep Learning-based Abnormal Behavior Detection System for Dementia Patients
   Kookjin Kim, Seungjin Lee, Sungjoong Kim, Jaegeun Kim, Dongil Shin, Dong-kyoo shin, Vol. 21, No. 3, pp. 133-144, Jun. 2020
   10.7472/jksii.2020.21.3.133
   Keywords: Abnomaly detection, deep-learning, Autoencoder, Long Short-Term Memory models
4. 4. CNN-based Shadow Detection Method using Height map in 3D Virtual City Model
   Hee Jin Yoon, Ju Wan Kim, In Sung Jang, Byung-Dai Lee, Nam-Gi Kim, Vol. 20, No. 6, pp. 55-63, Dec. 2019
   10.7472/jksii.2019.20.6.55
   Keywords: shadow detection, deep-learning
5. 5. GAN-based shadow removal using context information
   Hee-jin Yoon, Kang-jik Kim, Jun-chul Chun, Vol. 20, No. 6, pp. 29-36, Dec. 2019
   10.7472/jksii.2019.20.6.29
   Keywords: Shadow removal, Generative Adversarial Network, deep-learning
6. 6. 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