Digital Library

1. 1. Analyzing Teachers' Educational Needs to Strengthen AI Convergence Education Capabilities
   JaMee Kim, Yong Kim, Vol. 24, No. 5, pp. 121-130, Oct. 2023
   10.7472/jksii.2023.24.5.121
   Keywords: AI(Artificial Intelligence), AIBE, AI Convergence education, Learning about AI, Educational needs
2. 2. Interactive Visual Analytic Approach for Anomaly Detection in BGP Network Data
   So-mi Choi, Son-yong Kim, Jae-yeon Lee, Jang-hyuk Kauh, Koo-hyung Kwon, Jae-gul Choo, Vol. 23, No. 5, pp. 135-143, Oct. 2022
   10.7472/jksii.2022.23.5.135
   Keywords: Border Gateway Protocol, Anomaly Detection, Interactive Visual Analytic, Spatio-temporal Analysis
3. 3. The study of Defense Artificial Intelligence and Block-chain Convergence
   Seyong Kim, Hyukjin Kwon, Minwoo Choi, Vol. 21, No. 2, pp. 81-90, Apr. 2020
   10.7472/jksii.2020.21.2.81
   Keywords: AI, Block-chain, Hash Function, Big-Data
4. 4. Step-size Normalization of Information Theoretic Learning Methods based on Random Symbols
   Namyong Kim, Vol. 21, No. 2, pp. 49-55, Apr. 2020
   10.7472/jksii.2020.21.2.49
   Keywords: Distribution distance, random symbol, step-size, information potential, Impulsive noise.
5. 5. Performance Enhancement of Algorithms based on Error Distributions under Impulsive Noise
   Namyong Kim, Gyoo-yeong Lee, Vol. 19, No. 3, pp. 49-56, Jun. 2018
   10.7472/jksii.2018.19.3.49
   Keywords: components, Error distribution, delta function, Euclidean Distance, Impulsive noise.
6. 6. A Study on Power Variations of Magnitude Controlled Input of Algorithms based on Cross-Information Potential and Delta Functions
   Namyong Kim, Vol. 18, No. 6, pp. 1-6, Dec. 2017
   10.7472/jksii.2017.18.6.1
   Keywords: cross-information potential, CIPD, Magnitude controlled input, MCI, Impulsive noise, Input power variation