2021, Vol.4, No.1

Journal of Advances in Military Studies 2025 KCI Impact Factor : 1.0

pISSN : 2635-5531 / eISSN : 2636-1329
https://journal.kci.go.kr/jams

The need for unmanned underwater vehicles (UUVs) has received significant attention given the current security situation in the Korean Peninsula. UUVs are used in the military to perform five key missions: intelligence, surveillance, and reconnaissance (ISR), mine countermeasures, anti-submarine warfare, inspection/identification, and oceanography. In this study, we analyze the standards of evaluation of the characteristics and capabilities of UUVs that are necessary for ISR missions, which are most important from among the above mentioned ones. First, we establish 5 main criteria and 15 sub-criteria by consulting a group of experts. Next, we use the analytic hierarchy process (AHP) for these criteria. It computes the relative weights of the criteria based on pairwise comparisons, in order to evaluate the relative importance and priorities of the criteria we established, by selecting another group of 51 experts for the evaluation of the pairwise comparisons among the criteria. Consequentially, the importance associated with performance and ability of the ISR tends to be relatively high while the one associated with cost and economy for operating the UUVs appears to be low. These results may be useful in analyzing required capabilities in a more objective and concrete manner while procuring UUVs in the future.

This study was conducted to present the development plans for the future manned/unmanned infantry troops in order to respond to the changes in advanced science and technology along with the winds of the fourth industrial revolution an to prepare for future war changes. Above all, key elements by combat performance function of future mixed infantry troops could be identified and implications could be derived by comparing priorities by element using Analytical Hierarchy Process(AHP). In particular, a survey of current military policy departments, educators, field personnel, and indirectly related officers whose group consists of 190 (rank range: from the first lieutenant to lieutenant colonel, age range: from 20 to 40) out of 250 regard of effectiveness was conducted to identify which areas should be developed first for each combat function (command control, information, maneuver, fire, protection, operation sustainability support). In the formation of a mixed infantry troop, command control was able to identify battlefield information, reinforce information on battlefield visibility, strengthen maneuvering forces, strike strategic targets, share enemy attack situations, and maintain operations.

The purpose of this study is to reinforce the defense and security system by recognizing the behaviors of suspicious person both inside and outside the military using deep learning. Surveillance cameras help detect criminals and people who are acting unusual. However, it is inefficient in that the administrator must monitor all the images transmitted from the camera. It incurs a large cost and is vulnerable to human error. Therefore, in this study, we propose a method to find a person who should be watched carefully only with surveillance camera images. For this purpose, the video data of doubtful behaviors were collected. In addition, after applying a algorithm that generalizes different heights and motions for each person in the input images, we trained through a model combining CNN, bidirectional LSTM, and DNN. As a result, the accuracy of the behavior recognition of suspicious behaviors was improved. Therefore, if deep learning is applied to existing surveillance cameras, it is expected that it will be possible to find the dubious person efficiently.