• Title/Summary/Keyword: 국방기술

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A Study on Wartime OPCON Transfer Policy Changes Applied Kingdon's Policy Model - Focussing on Administrations of Roh Moo Hyun and Lee Myoung Bak - (Kingdon모형을 적용한 전시 작전통제권 전환 정책변동에 관한 연구 노무현 정부, 이명박 정부를 중심으로-)

  • Lee, JeongHoon
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.291-295
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    • 2022
  • The transition to wartime operational control during the term of office, which was the promise of the Moon Jae Inn administration, fell through. More than 70 years after it was transferred during the Korean War in 1950, the policy of converting wartime operational control has been repeatedly decided and reversed several times. This conversion of wartime operational control is a national policy directly related to our security, and it is most important to understand the determinants of the administration's conversion to wartime operational control. This paper selects two cases of adjustment of wartime operational control policy during the Lee Myung Bak administration in 2006 and 2010 during the Roh Moo Hyun administration as the subject of the study and expects to gain not only policy predictive power but also successful policy execution at the time of the two administration' policy changes.

Recrystallization of RDX High Energy Material Using N,N-Dimethylformamide Solvent and Supercritical $CO_2$ Antisolvent (디메틸포름아마이드 용매와 초임계 이산화탄소 역용매를 사용한 RDX 고에너지 물질의 재결정)

  • Kim, Chang-Ki;Lee, Byung-Chul;Lee, Youn-Woo;Kim, Hyoun-Soo
    • Clean Technology
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    • v.15 no.4
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    • pp.233-238
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    • 2009
  • Supercritical fluid processes have gained great attention as a new and environmentally-benign method of preparing the microparticles of energetic materials like explosives and propellants. In this work, RDX (cyclotrimethylenetrinitramine) was selected as a target explosive. The microparticle formation of RDX using supercritical anti-solvent (SAS) recrystallization process was performed and the effect of operating variables on the size and morphology of prepared particles was observed. N,N-Dimethylformamide was used as organic solvent for dissolving the RDX. The size of the RDX particles decreased remarkably up to less than $10\;{\mu}m$ by SAS recrystallization. In the range of operating conditions of the SAS process studied in this work, the finest RDX particles were obtained at 313.15K, 150 bar, and 15wt% RDX concentration in feed solution.

An Experimental Study on the Mechanical Properties of Carbon-Epoxy Composites in Salt Water Environment (염수 환경에 의한 탄소/에폭시 복합재의 물성치 변화 연구)

  • Hur, Seong-Hwa;Kim, Jeong-Hee;Kim, Hong-Seok;Kweon, Jin-Hwe;Choi, Jin-Ho;Cho, Jong-Rae;Cho, Yoon-Shik
    • Composites Research
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    • v.21 no.3
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    • pp.1-8
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    • 2008
  • The main objective of this study is to investigate the effect of salt water on the mechanical properties of a carbon-epoxy composite material. Specimens were made of a carbon-epoxy composite USN125 and tested under inplane tension and shear after 0, 0.5, 1, 2, 3, 6, 9, and 12 months immersion in 3.5% salt water. Waterproof painting and acceleration technique were not applied. The tensile strengths and moduli in fiber and matrix directions did not show any remarkable degradation until 12 months immersion. In contrast to the tensile properties, shear strength and modulus started to degrade from the early stage of the immersion time and gradually decreased to 36% and 46% of dry values, respectively, after 12 months immersion.

Application of ray-based blind deconvolution to long-range acoustic communication in deep water (음선 기반 블라인드 디컨볼루션의 장거리 심해 환경으로의 적용)

  • Kim, Donghyeon;Park, Heejin;Kim, J.S.;Hahn, Joo Young
    • The Journal of the Acoustical Society of Korea
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    • v.41 no.2
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    • pp.242-253
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    • 2022
  • When the source waveform is unknown, the Green's function can be estimated by Ray-based Blind Deconvolution (RBD) based on the simple array signal processing. In previous papers, RBD was successfully demonstrated using simulation and experiments in shallow water environment. In this paper, we investigate the applicability of RBD for a long-range communication (e.g., 30 km, 60 km, and 90 km) in a deep water environment (1,000 m ~), using experimental data conducted in the east of Pohang, South Korea, in October 2018. Data results are presented to demonstrate Green's function estimation of a communication signal (2.2 kHz ~ 2.9 kHz) using a 16-element, 42-m long vertical array. The results show that the Green's function estimated from RBD is comparable to that of matched filter result. Additional communication performance at a maximum range of 90 km will be also presented.

A Study on the development plan for the smooth fixation of the RNTC (부사관학군단(RNTC)의 원활한 정착을 위한 발전방안 연구)

  • Eung-woo Nam;Jong-Hyun Park
    • Convergence Security Journal
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    • v.22 no.4
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    • pp.53-63
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    • 2022
  • The Ministry of National Defense reintroduced the non-commissioned officer corps (RNTC) system for colleges from 2015 and has been testing it for five years. The reason for this is that the acquisition of non-commissioned officers in the military is low and the level of manpower management is low. Through the implementation of the NCO(RNTC) system, the military expected that the colleges would stably acquire non-commissioned officers with excellent resources in various major fields, and the colleges expected positive results in entrance exams and employment. However, when analyzing the results of the pilot operation, it can be evaluated that the expected results have not been achieved. It was found that the system needs to be supplemented and improved to achieve the purpose of the system implementation in the promotion of recruitment of district candidates, selection evaluation, operation and the cooperative system between the military and colleges. Therefore, in this study, a development plan was presented to supplement the system and operation system so that the non-commissioned officer corps system can be smoothly established at universities and obtain the expected results from the military and colleges.

Advancements in Drone Detection Radar for Cyber Electronic Warfare (사이버전자전에서의 드론 탐지 레이다 운용 발전 방안 연구)

  • Junseob Kim;Sunghwan Cho;Pokki Park;Sangjun Park;Wonwoo Lee
    • Convergence Security Journal
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    • v.23 no.3
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    • pp.73-81
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    • 2023
  • The progress in science and technology has widened the scope of the battlefield, leading to the emergence of cyber electronic warfare that exploits electromagnetic waves and networks. Drones have become more important due to advancements in battery technology and navigation systems. Nevertheless, tackling drone threats comes with its own set of difficulties. Radar plays a vital role in detecting drones, offering long-range capabilities and independence from weather conditions. However, the battlefield presents unique challenges like dealing with high levels of signal noise and ensuring the safety of the detection assets. This paper proposes various approaches to improve the operation of drone detection radar in cyber electronic warfare, with a focus on enhancing signal processing techniques, utilizing low probability of interception (LPI) radar, and implementing optimized deployment strategies.

Data Modeling for Cyber Security of IoT in Artificial Intelligence Technology (인공지능기술의 IoT 통합보안관제를 위한 데이터모델링)

  • Oh, Young-Taek;Jo, In-June
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.57-65
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    • 2021
  • A hyper-connected intelligence information society is emerging that creates new value by converging IoT, AI, and Bigdata, which are new technologies of the fourth industrial revolution, in all industrial fields. Everything is connected to the network and data is exploding, and artificial intelligence can learn on its own and even intellectual judgment functions are possible. In particular, the Internet of Things provides a new communication environment that can be connected to anything, anytime, anywhere, enabling super-connections where everything is connected. Artificial intelligence technology is implemented so that computers can execute human perceptions, learning, reasoning, and natural language processing. Artificial intelligence is developing advanced technologies such as machine learning, deep learning, natural language processing, voice recognition, and visual recognition, and includes software, machine learning, and cloud technologies specialized in various applications such as safety, medical, defense, finance, and welfare. Through this, it is utilized in various fields throughout the industry to provide human convenience and new values. However, on the contrary, it is time to respond as intelligent and sophisticated cyber threats are increasing and accompanied by potential adverse functions such as securing the technical safety of new technologies. In this paper, we propose a new data modeling method to enable IoT integrated security control by utilizing artificial intelligence technology as a way to solve these adverse functions.

A Deep Learning-based Real-time Deblurring Algorithm on HD Resolution (HD 해상도에서 실시간 구동이 가능한 딥러닝 기반 블러 제거 알고리즘)

  • Shim, Kyujin;Ko, Kangwook;Yoon, Sungjoon;Ha, Namkoo;Lee, Minseok;Jang, Hyunsung;Kwon, Kuyong;Kim, Eunjoon;Kim, Changick
    • Journal of Broadcast Engineering
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    • v.27 no.1
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    • pp.3-12
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    • 2022
  • Image deblurring aims to remove image blur, which can be generated while shooting the pictures by the movement of objects, camera shake, blurring of focus, and so forth. With the rise in popularity of smartphones, it is common to carry portable digital cameras daily, so image deblurring techniques have become more significant recently. Originally, image deblurring techniques have been studied using traditional optimization techniques. Then with the recent attention on deep learning, deblurring methods based on convolutional neural networks have been actively proposed. However, most of them have been developed while focusing on better performance. Therefore, it is not easy to use in real situations due to the speed of their algorithms. To tackle this problem, we propose a novel deep learning-based deblurring algorithm that can be operated in real-time on HD resolution. In addition, we improved the training and inference process and could increase the performance of our model without any significant effect on the speed and the speed without any significant effect on the performance. As a result, our algorithm achieves real-time performance by processing 33.74 frames per second at 1280×720 resolution. Furthermore, it shows excellent performance compared to its speed with a PSNR of 29.78 and SSIM of 0.9287 with the GoPro dataset.

Security Stress Management Plan for Military Soldiers (군 장병의 보안 스트레스 관리방안)

  • Lee Tae Bok
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.61-67
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    • 2024
  • Soldiers serving in military units and institutions are subject to strict security policies and technologies because they handle sensitive and confidential information related to national security, so they are likely to experience security stress. The purpose of this study is to recognize the need to manage the security stress of military personnel and to suggest management measures. To this end, a literature study was conducted on 12 KCI(Korean Journal Citation Index) journals dealing with security stress. Since 2016, research on security stress has been conducted mainly through empirical analysis through surveys. Studies related to security stress were divided into studies dealing with factors that affect stress, the relationship between security stress and security compliance intentions, and factors that reduce security stress. In particular, it was confirmed that factors such as organizational justice, organizational technical support, and security feedback can alleviate security stress. Next, by applying the results of this literature study to the defense security environment, we presented security stress management measures for military personnel in terms of improving security-related organizational justice awareness, technical support, and security feedback. The significance of this study is that we recognized the need to manage military personnel's security stress and reviewed practical measures related to this.

The History of the Development of Meteorological Related Organizations with the 60th Anniversary of the Korean Meteorological Society - Universities, Korea Meteorological Administration, ROK Air Force Weather Group, and Korea Meteorological Industry Association - (60주년 (사)한국기상학회와 함께한 유관기관의 발전사 - 대학, 기상청, 공군기상단, 한국기상산업협회 -)

  • Jae-Cheol Nam;Myoung-Seok Suh;Eun-Jeong Lee;Jae-Don Hwang;Jun-Young Kwak;Seong-Hyen Ryu;Seung Jun Oh
    • Atmosphere
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    • v.33 no.2
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    • pp.275-295
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    • 2023
  • In Korea, there are four institutions related to atmospheric science: the university's atmospheric science-related department, the Korea Meteorological Administration (KMA), the ROK Air Force Weather Group, and the Meteorological Industry Association. These four institutions have developed while maintaining a deep cooperative relationship with the Korea Meteorological Society (KMS) for the past 60 years. At the university, 6,986 bachelors, 1,595 masters, and 505 doctors, who are experts in meteorology and climate, have been accredited by 2022 at 7 universities related to atmospheric science. The KMA is carrying out national meteorological tasks to protect people's lives and property and foster the meteorological industry. The ROK Air Force Weather Group is in charge of military meteorological work, and is building an artificial intelligence and space weather support system through cooperation with universities, the KMA, and the KMS. Although the Meteorological Industry Association has a short history, its members, sales, and the number of employees are steadily increasing. The KMS greatly contributed to raising the national meteorological service to the level of advanced countries by supporting the development of universities, the KMA, the Air Force Meteorological Agency, and the Meteorological Industry Association.