(학술지 유료화) 게재료 안내(재공지)
현재 선진국방연구는 발행횟수 변경 및 유료화를 진행합니다.
[게재료 유료화] 30만 원(사사표기 추가 시, 40만원)
1) 게재료: 30만 원 (기본 페이지: 본문 15페이지, 초록, 참고문헌/부록페이지 제외)
2) 추가 페이지 게재료: 페이지 당 2만 원
3) 사사 표기 추가 비용: 10만 원
「Journal of Advances in Military Studies (JAMS, J. Adv. Mil. Stud.)」 선진국방연구 (Korean)
Accreditations of The Journal of Advances in Military Studies:
★ 2022년도 학술지 평가결과, 등재지 선정(한국연구재단) ★
★ 2020년도 학술지 평가결과, 등재 후보지 선정(한국연구재단) ★
▶ Journal Information (학회지 정보)
》 ISO4 (LTWA): J. Adv. Mil. Stud.
》 ISSN Print 2635-5531 / Online 2636-1329
》 Publication frequency
The journal publishes online and printing version with a frequency of two issues and 1 volume per year (April, October) by Institue of defence acquisition program (IDAP) in Kwangwoon university.
IDAP is pursuing academic and practical study in the filed of the humanities and social sciences as the Priority Research Centers Program supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea.
Accepted articles will be immediately published and are always free to access, download and reuse (Available 2018-current).
Read more about our publication policy.
▶ Journal Policy (학회지 정책)
》 Open access
-All articles published by the Journal of Advances in Military Studies are made freely and permanently accessible online immediately upon publication without subscription charges or registration.
-All JAMS with open access policy offer the CC BY licence (Creative Commons Attribution 4.0 International License).
》 Copyright notice
-Authors will retain copyright through signing the Copyright Transfer Statement during submission process.
-Authors are encouraged to submit the author's version of the accepted paper (the unedited manuscript) to be made openly available after the self-archiving.
(국립중앙도서관, 학술지저작권 등록: KJCI, Korea Journal Copyright Information)
▶ Abstracting and indexing (초록 및 인텍싱)
》 Posted on 27 February 2019 by DOAJ (Directory of Open Access Journals).
》 ResearchGate
현재 선진국방연구는 발행횟수 변경 및 유료화를 진행합니다.
[게재료 유료화] 30만 원(사사표기 추가 시, 40만원)
1) 게재료: 30만 원 (기본 페이지: 본문 15페이지, 초록, 참고문헌/부록페이지 제외)
2) 추가 페이지 게재료: 페이지 당 2만 원
3) 사사 표기 추가 비용: 10만 원
The April 2025 issue of the Journal of Advances in Military Studies (JAMS) published three studies.
According to Kim and Choi (2025)' study, it evaluates the effectiveness of Few-Shot Object Detection (FSOD) models for military applications, addressing data scarcity and security constraints. A military vehicle image dataset was used to fine-tune four models—YOLO, DETR, GLIP, and CD-ViTO—under 1-shot, 5-shot, and 10-shot settings. Among them, CD-ViTO showed the highest performance and strong cross-domain generalization, confirming FSOD's potential for accurate object detection in military contexts.
Shin, Jung, Lee, Ryu, and Park (2025) proposes using diverse optimization-based machine learning algorithms to enhance the accuracy of Software Reliability Growth Models (SRGMs), especially for defense applications. Results highlight large performance variations depending on the algorithm, demonstrating the limitations of single-method approaches and emphasizing the importance of diverse optimization strategies for more reliable software prediction.
Lastly, in the study of Chi, Park, Choi, and Kang (2025), it compares thermoluminescent dosimeters (TLDs) and electronic personal dosimeters (EPDs) for military use under portable X-ray exposure. While TLDs offer accurate cumulative dose tracking, they fail at longer distances and low pulse levels. In contrast, EPDs detect radiation reliably across all conditions and provide real-time feedback, making them more suitable for field-based military radiation monitoring. Results support revising current dosimetry practices to enhance radiation safety in military operations.