JKSAS Journal of the Korean Society for
Aeronautical and Space Sciences

Current Issue
Journal of the KSAS, Vol. 52, No. 4, April, 2024

Development of Rotor Blade Design Optimization Framework Using CFD-Trained Artificial Neural Networks
B. G Ju and Y. S. Jing
Pusan National University
Journal of the KSAS, Vol. 52, No. 4, pp. 259-275, April, 2024.
DOI:10.5139/JKSAS.2024.52.4.259

Abstract Full Text PDF


Path Planning and Weighted Cost Reduction Using Spline
D. Y. Kim, Y. J. Lee and S. K. Sung
Konkuk University
Journal of the KSAS, Vol. 52, No. 4, pp. 277-283, April, 2024.
DOI:10.5139/JKSAS.2024.52.4.277

Abstract Full Text PDF


Performance Analysis of Vector Field Based High-Speed Flight Collision Avoidance for UAVs Integrated With Unreal Engine
Y. D. Yoo and J. H. Moon
Cheongju University
Journal of the KSAS, Vol. 52, No. 4, pp. 285-296, April, 2024.
DOI:10.5139/JKSAS.2024.52.4.285

Abstract Full Text PDF


Gain Scheduling Using Deep Neural Network for Morphing Aircraft
J. H. Lee, S. W. Lee* and E. C. Yoon*
Samsumg Electronics, Kookmin University*
Journal of the KSAS, Vol. 52, No. 4, pp. 297-306, April, 2024.
DOI:10.5139/JKSAS.2024.52.4.297

Abstract Full Text PDF


Collision Avoidance Algorithm Using Gaussian Mixture Model and Vector Field Histogram+
J. M Ha, J. H. Park and J. S. Lim
Ajou University
Journal of the KSAS, Vol. 52, No. 4, pp. 307-314, April, 2024.
DOI:10.5139/JKSAS.2024.52.4.307

Abstract Full Text PDF


Design and Verification of Acoustic Excitation Device for Simulation of Liquid Rocket Engine Combustion Instability
M. K. Shin, J. H. Oh, J. Y. Cha, S. H. Noh, Y. S. Ko and H. J. Kim
Chungnam National University
Journal of the KSAS, Vol. 52, No. 4, pp. 315-321, April, 2024.
DOI:10.5139/JKSAS.2024.52.4.315

Abstract Full Text PDF


Development of an Advanced Pilot Assistant System based on Multiple Surveillance Sensor and Deep Learning for GA Class Aircraft Part â…  Algorithm Development and Validation
R. Mohamad, S. J. Kim, J. H. Kim and K. Y. Choi
Inha University
Journal of the KSAS, Vol. 52, No. 4, pp. 323-331, April, 2024.
DOI:10.5139/JKSAS.2024.52.4.323

Abstract Full Text PDF


Development of an Advanced Pilot Assistant System based on Multiple Surveillance Sensor and Deep Learning for GA Class Aircraft Part â…¡ System Configuration and Flight Test
M. Rahimy, S. J. Kim, D. H. Kim, J. H. Kim and K. Y. Choi
Inha University
Journal of the KSAS, Vol. 52, No. 4, pp. 333-343, April, 2024.
DOI:10.5139/JKSAS.2024.52.4.333

Abstract Full Text PDF


| Editor-in-Chief |
Jon Ahn (Sejong University)

| Executive Editor |
Sanghyuk Park, Korea Aerospace University(Korea)
Hyoun Jin Kim, Seoul National University(Korea)
JKSAS
Journal of the Korean Society for Aeronautical and Space Sciences
  • Journal launch year 1973
  • Frequency Monthly
  • ISSN 1225-1348 (print)
    2287-6871 (online)
  • Indexed in SCOPUS, KCI, ESCI
  • Supported by This journal was supported by the Korean Federation of Science and Technology Societies(KOFST) Grant funded by the Korean Government.

Aim and Scope:

This journal is a monthly publication of the Korean Society for Aeronautical and Space Sciences(KSAS). This multi-disciplinary journal aims to enhance and foster the sciences and technologies on aeronautical and space through the publication of original research papers and review articles disclosing new advancements in theoretical, computational and experimental research. Topics of interest include all aspects of aerospace science and technology, which include acoustics, aerodynamics and fluid mechanics, structural dynamics and aeroelasticity, structures and materials, flight dynamics, guidance and control, flight simulation and operations, combustion and propulsion, thermomechanics and reacting flows, airworthiness and maintenance, avionics, aerospace telecommunications, space exploration, research instrumentation and facilities, aerospace policy and certification. The journal also addresses the ground and flight tests of aerospace systems including aircraft, air ship, helicopter, MEMS, missile, satellite, rocket, and UAV. Papers are selected for publication through a peer review process, and submitted articles are judged on the basis of technical originality, quality of exposition and significance of the results by the editors.