JIITA, vol.5 no.2, p.431-435, 2021, DOI: 10.22664/ISITA.2021.5.2.431 Gi-Dong Nam, Dinh-Vuong Le, Hae-Jin Sung, Seok-Ju Lee, Minwon Park Department of Electrical Engineering, Changwon National University, Changwon, Rep. of Korea Abstract: This paper deals with the design of a 5 MW superconducting motor for an aviation propulsion system (APS). A superconducting aviation propulsion system using hydrogen fuel […]
Vol.5 No.2
Classification of Epileptic Seizure and Sleep Stage from EEG Signal Using Wavelet Transform and Deep Learning Techniques
JIITA, vol.5 no.2, p.436-446, 2021, DOI: 10.22664/ISITA.2021.5.2.436 M. Sornam*, E. Panneer Selvam Department of Computer Science, University of Madras, Chennai – 600025, India Abstract: Epilepsy is the fourth most common neurological problem in which brain activities becomes abnormal, causing seizure or unusual behaviour and sometimes loss of awareness. An electroencephalogram (EEG) signal is used to […]
Real-time Face and Landmark Localization for Mobile Applications
JIITA, vol.5 no.2, p.447-452, 2021, DOI: 10.22664/ISITA.2021.5.2.447 Myoung-Kyu Sohn*, Sang-Heon Lee, Hyunduk Kim Division of Automotive Technology, DGIST, Daegu, Republic of Korea Abstract: Deep learning has been applied in many areas to solve pattern recognition problems. These methods have made many advances and have shown considerable potential. In particular, it exhibits promising performance in the […]
A Study on Comparative Analysis of Machine Learning Algorithms Using the Leaf Dataset
JIITA, vol.5 no.2, p.453-461, 2021, DOI: 10.22664/ISITA.2021.5.2.453 Phuc Hong Ngo 1), Donghwoon Kwon 2) 1) Department of Mathematics and Computer Science, Beloit College, Beloit, USA2) Department of Mathematics, Computer Science, and Physics, Rockford University, Rockford, USA Abstract: Machine learning is widely used for classification in various fields. In this research, we compared and analyzed the […]