• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.321-322
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• 2023

현재 우리 군은 다가오는 인구절벽에 대비하기 위해 인공지능(AI) 기반의 과학기술강군 육성을 목표 국방혁신 4.0을 추진중에 있다. 특히 북한의 도발위협이 높아지는 현시점에 우리 군은 첨단기술을 활용한 과학화경계시스템 도입을 통해 병력절감을 도모하고 있다. 하지만 우리 군의 통합 전투능력을 보장하기 위한 핵심 기반통신체계인 전술정보통신체계(TICN)의 경우 전송 대역폭이 좁아 영상정보 송수신이 원활하지 않을뿐더러 보안 및 난청지역 발생 등의 이유로 평시 과학화경계시스템의 기반 네트워크로 활용하기에는 제한적이다. 이러한 문제를 해결하기 위해 본 논문은 2017년부터 국내에서 무료로 활용할 수 있게 된 TVWS 기반의 무선네트워크 구축 기술을 활용해 TVWS 기반 과학화경계시스템 구축방안을 제안한다. 본 논문에서 제안하는 TVWS 기반 과학화경계시스템의 경우 기존의 유선네트워크 기반의 과학화경계시스템과 비교해 작전공백 최소화, 구축비용 절감, 설치 및 운용의 탄력성 측면에서 다양한 장점을 가진다.

• Convergence Security Journal
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• v.23 no.4
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• pp.81-92
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• 2023

In recent years, the ROK military is promoting Defense Innovation 4.0 with the goal of fostering strong military based on science and technology equipped with artificial intelligence(AI) to prepare for the upcoming population cliff. In particular, at the present time of increased threats of North Korea, the South Korean military is seeking to deal with a decrease in military service resources through the introduction of a Scientific Guard System using advanced technology. TICN which is a core basic communication system to ensure the integrated combat capability of the ROK military is, however, limited to use as a based network for the emerging Scientific Guard System due to the narrow transmission bandwidth with widely spread poor reception area. To deal with this problem, this paper proposes TVWS-based Scientific Guard Systems with TVWS-based wireless network construction technology that has been available for free in Korea since 2017. The TVWS-based Scientific Guard System proposed in this paper, when compared to the existing wired network-based Scientific Guard Systems, has various advantages in terms of minimizing operational gaps, reducing construction costs, and flexibility in installation and operation.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.249-255
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• 2023

In this study, based on the awareness of the problem of current scientific guard systems of ROKA, We suggested a develoment direction for scientific guard system applying 3 elements of Revolution in Military Affairs by 2035. To this end, we analyzed challenges of current scientific guard systems and reviewed similar cases in other countries. Based on this, We suggested a develoment direction for scientific guard system, comprised of the concept of gurad operation, the organization of guard troops, and MUM-T(manned and unmanned teaming) by applying the framework of 3 elements of military innovation (operation concept, organization, weapon system). In order to overcome challenges at hand, we need a innovative scientific guard systems that applies MUM-T based on high technology along with agile&smart guard troops.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.5
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• pp.799-806
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• 2020

The rapid growth of smartphone-to-Internet of Things (IoT) connections and the explosive demand for data usage centered on mobile video are increasing day by day, and this increase in data usage creates many problems in the IP system. In a full-based environment, in which information requesters focus on information providers to receive information from specific servers, problems arise with bottlenecks and large data processing. To address this problem, CCN networking technology, a future network technology, has emerged as an alternative to CCN networking technology, which reduces bottlenecks that occur when requesting popular content through caching of intermediate nodes and increases network efficiency, and can be applied to military information and communication networks to address the problem of traffic concentration and the use of various surveillance equipment in full-based networks, such as scientific monitoring systems, and to provide more efficient content.

• Journal of the Korea Society for Simulation
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• v.31 no.2
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• pp.11-20
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• 2022

There is a critical need for AI assistance in guard operations of Army base perimeters, which is exacerbated by changes in the national defense and security environment such as force reduction. In addition, the possibility for human error inherent to perimeter guard operations attests to the need for an innovative revamp of current systems. The purpose of this study is to propose a real-time object detection AI tailored to military CCTV surveillance with three unique characteristics. First, training data suitable for situations in which relatively small objects must be recognized is used due to the characteristics of military CCTV. Second, we utilize a data augmentation algorithm suited for military context applied in the data preparation step. Third, a noise reduction algorithm is applied to account for military-specific situations, such as camouflaged targets and unfavorable weather conditions. The proposed system has been field-tested in a real-world setting, and its performance has been verified.