It was one day in August, Juche 51 (1962) when Comrade Kim Jong Il was conducting revolutionary activities at Kim Il Sung University.
Sitting together with some students, he gave precious instructions that ...
A sharp rise in electric power transmitting capacity and distance makes it important to ensure the security of power transmission lines.
The major cause of most cutting accidents of transmission lines is vibration by wind. Transmission lines vibrate continuously owing to the Kalman effect by wind. This effect generates endurance fracture in the cross sections of transmission lines, resulting in the decrease in the life time of transmission lines.
Therefore, a lot of researchers installed anti-vibrators on transmission lines to reduce vibration amplitude largely.
Recent researches are not enough with vibration of a tower-transmission line-dampers system as a whole.
Choe Sun Bok, a researcher at the Faculty of Mechanical Science and Technology, has studied an analytical method for determining the correct solution for the forced vibration of a power transmission line-anti-vibrators system with flexible supports by wind, regarding a steel tower as a flexible body. On this basis, she has performed numerical calculations and compared the results with experimental values to verify the validity of the presented method.
Her method can be applied to determination of design parameters and installing places of anti-vibrators.
Jong Kum Sil, a lecturer at the Faculty of Distance Education, has developed an online education aid and consultation system for assessing course designs from evaluation of students' cognition, real-time check and virtual board check of their drawings, and application program practice guidance by screen sharing.
As the whole course of evaluation is done via a real-time dialogue between a lecturer and a student online and real-time drawing check and screen sharing improve the effectiveness of evaluation, the system will make a contribution to the improvement of practical education.
A research team led by Ri Jin Gwang, a researcher at the Faculty of Distance Education, has made a study of face anti-spoofing by spoof cues learning to give a solution to the problems arising in face authentication, one of the common problems in distance education.
Generally, typical face anti-spoofing methods used intrinsic features of attack mediums such as a printed photo or video replay, and selecting discriminative features between live samples and spoof ones became automatic with the development of deep learning. As a result, spoofing detection became a binary classification problem for distinguishing between false and true.
However, the existing methods might not get enough discriminative features or tend to overfit predefined datasets, which leads to some problems with generalization. Limited generalization capacity of FAS is attributable to the diversity of spoof samples including unknown ones.
Therefore, the research team has introduced spoof cues to improve the generalization capacity of a learning model and the correctness of FAS.
As the proposed method has been introduced for learner identification of distance education on the mobile network, face anti-spoofing caused by printed photos or video replay is not a problem any more. It means the practicability and scientific accuracy of online education are fully guaranteed.