Journal of Advances in Military Studies

About the Journal

「Journal of Advances in Military Studies (JAMS, J. Adv. Mil. Stud.)」 선진국방연구 (Korean)

Accreditations of The Journal of Advances in Military Studies:

indexed in Directory of Open Access Journals (DOAJ)
indexed in Google Scholar
indexed in ResearchGate
indexed in Korea of Open Access Journals (KOAJ)

★ 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).

Author Self-Archiving

OA Policy

Announcements

2024년 12월호 : December 2024 (Volume 7, Issue 3)

2024-09-18

2024년 마지막 학술지 발행의 정시성 준수를 위해 투고 가능 일자를 안내드립니다.

* 1년에 3회(4월, 8월, 12월) 발간되고 원고는 수시 모집하고 있습니다. 다만, 24년 12월호는 이전 투고된 다수 원고의 심사가 진행되고 있어 12월 게재를 희망하시는 경우에는 정해진 일자까지 투고가 되어야 합니다.

- 2024년 투고원고 평가 완료 및 2025년 유료화 준비로 2024년 신규 투고를 추가로 받지 않습니다.

- 심사과정에서 기한이 지연되는 경우, 타학술지 투고 준비를 위해 심사/투고 단계 삭제를 요청해 주세요.

* 홈페이지(https://journal.idap.re.kr/) 활용한 온라인 투고심사 진행

* 구글(Google) 사이트에서 “선진국방연구” 검색(https://journal.idap.re.kr/index.php/JAMS/index)

* 별도 투고료ㆍ심사료ㆍ게재료가 없습니다. (2025년 유료화 예정)

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* 제7권 3호(2024년 12월) 학술지 발간일 : 2024년 12월 31일

* 원고제출 마감일 : 2024년 11월 3일(일요일) 자정 (해당 일자 이후 투고원고는 25년 4월호 심사단계로 진행)

* 투고 후 평균 50일 심사기간 소요 : 12월호 게재 희망하시는 분은 원고제출 마감일까지 투고 요망

2022 선진국방연구 융합학술대회

2022-11-18

Call for papers: December 2022 (Volume 5, Issue 3) 2022년 12월호

2022-09-14

Current Issue

Vol. 8 No. 1 (2025): Journal of Advances in Military Studies

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.

Published: 2025-07-13