Digital Library[ Search Result ]
Exploiting Arma 3 to Construct Synthetic Data for Military Target Detection on Remote Sensing Imagery
Yechan Kim, JongHyun Park, SooYeon Kim, Sihyun Kim, Sung Heon Kim, YeongMin Ko, Junggyun Oh, Dongho Yoon, Moongu Jeon
http://doi.org/10.5626/JOK.2025.52.1.9
Recently, satellite-based surveillance and reconnaissance systems have garnered significant attention in the military sector. However, the acquisition of large-scale satellite imagery for training military target detection models presents practical challenges, primarily due to high costs and security concerns. To tackle this issue, this paper proposes an algorithm for generating synthetic satellite imagery and annotations for military target detection using Arma 3, a well-known military simulation game. Arma 3 offers realistic military equipment and environments, which facilitates the creation of high-quality synthetic data. This study specifically validates the proposed method by demonstrating that our synthetic dataset can effectively complement real-world data, utilizing the DOTA dataset and web-scraped military images.
An Educational Relay Programming System for Cooperative Programming Activities and Evaluations
http://doi.org/10.5626/JOK.2019.46.6.526
Recently, programming education has become important all around the world. Previously, programming education mostly involved individual ways of learning. However, the process of solving complex real-world problems through programming often requires grouping and cooperative programming. Therefore, a system is needed that enables cooperative programming and evaluation in programming education. Few educational systems exist for cooperative programming education. Meanwhile, a teacher must perform a process-oriented evaluation in order to maximize the educational effects of cooperative learning. But many teachers have felt burdened by this task. In this study, we designed and implemented a relay programming learning system to support cooperative programming learning. We developed factors to be considered in order to support the evaluation of an instructor and developed an automated evaluation algorithm. This allows learners to develop the ability to improve readability, reusability, and maintenance that are important in programming, and allows instructors to easily evaluate learners.
Search
Journal of KIISE
- ISSN : 2383-630X(Print)
- ISSN : 2383-6296(Electronic)
- KCI Accredited Journal
Editorial Office
- Tel. +82-2-588-9240
- Fax. +82-2-521-1352
- E-mail. chwoo@kiise.or.kr