• Annual Conference of KIPS
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• 2019.10a
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• pp.1164-1165
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• 2019

최근 북한은 단거리탄도탄을 포함한 미사일 발사 시험을 수차례 수행했다. 사거리 증가 뿐만 아니라 발사지점 예측 교란을 위한 발사방법의 다변화 및 요격 난이도 상승을 위한 미사일 회피 기동 등 다양한 시도로 점점 탄도탄 요격이 어렵도록 하고 있는 현실이다. 본 논문에서는 클라이언트-서버와 REST 아키텍처를 이용하여 확장성이 높고 신뢰성 있는 요격체계 콘솔을 제안한다. 이를 통해 제한된 탄도탄 요격 가능 시간 내 효과적인 전상상황 가시화를 통해 운용자의 작전결심을 도와 실패없는 탄도탄 요격이 가능하도록 할 수 있고, 확장 가능성을 바탕으로 다수의 타격 체계의 중앙제어를 위한 원격제어 및 무인화를 위한 초석으로 삼을 수도 있을 것이다.

• The Korean Journal of Emergency Medical Services
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• v.19 no.3
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• pp.33-49
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• 2015

Purpose: This study aimed to investigate the work and job satisfaction of military emergency medical technicians (EMTs). Methods: We selected 122 military EMTs who participated in the refresher education in 2012. This study was conducted from November 12 to December 21, 2012. Results: The most frequent duties of military EMTs were scene assessment, cardiopulmonary resuscitation, surgical treatment, prehospital first-aid, transfer to the hospital, education, and call response. The air force and navy EMTs had better performance than the army EMTs. As for job satisfaction, the work itself ranked highest, whereas payment ranked lowest. Conclusion: The scope of the work of the military EMTs varied in the 14 fields of work but should be considered for further evaluation. In order to increase the job satisfaction of EMTs, their work conditions should be improved such as through salary increase and extra pay for those with professional certificates.

• Journal of the Korea Institute of Military Science and Technology
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• v.22 no.5
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• pp.581-589
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• 2019

Guided missiles assembled with the bolted joint are subjected to various shock loading conditions while flying in the air and operating on the ground or platform. Especially, It is important to analyze the effect of the shock load on the structure because it affects the structure for a short duration time while its acceleration magnitude is quite large. In this study, mechanical shock tests on the structure with the bolted joint have been carried out to measure the acceleration changes of the structure against external shock loads by electrical exciter. Variation of dynamic characteristics of a structure with fastening methods and fastening forces has been investigated through Shock Response Spectrum analysis.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.4
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• pp.75-82
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• 2006

The main objective of this study is to find out the shortest path of the vehicle routing problem with time window constraints by using both genetic algorithm and heuristic. Hard time constraints were considered to the vehicle routing problem in this suggested algorithm. Four different heuristic rules, modification process for initial and infeasible solution, 2-opt process, and lag exchange process, were applied to the genetic algorithm in order to both minimize the total distance and improve the loading rate at the same time. This genetic algorithm is compared with the results of existing problems suggested by Solomon. We found better solutions concerning vehicle loading rate and number of vehicles in R-type Solomon's examples R103 and R106.

• Journal of the Korea Institute of Military Science and Technology
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• v.22 no.3
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• pp.353-359
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• 2019

In this study, a aerodynamic loads prediction to design a deploying device of folded fin was introduced. In general, resultant flow conditions around the fin are used to obtain deploying moments and required energy. However, when it comes to the air vehicles launched from a mobile platform, more specific flow conditions can be provided. With the conditions, the design criteria can be calculated more realistically. In this study, therefore, aerodynamic moments induced by aerodynamic loads and energy required in deployment were calculated using wind-over-deck(WOD) velocity, combination of a platform velocity and a wind velocity. For the calculation, wind tunnel test was conducted on various angle of attack, side slip angles, and folding angles. It was found that the aerodynamic moments and the energy required in deployment using the non-uniform flow due to the velocity components were less than those using the uniform flow without the components.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.68 no.1
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• pp.153-158
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• 2019

In this paper, we analyze the infrared feature for the small coast targets according to the surrounding environment for autonomous flight device equipped with an infrared imaging sensor and we propose Cross Duality of Neural Network (CR-DuNN) method which can classify the target and clutter in coastal environment. In coastal environment, there are various property according to diverse change of air temperature, sea temperature, deferent seasons. And small coast target have various infrared feature according to diverse change of environment. In this various environment, it is very important thing that we analyze and classify targets from the clutters to improve target detection accuracy. Thus, we propose infrared feature learning algorithm through LSTM neural network and also propose CR-DuNN algorithm that integrate LSTM prediction network with Du-CNN classification network to classify targets from the clutters.

• Journal of the Korea Institute of Military Science and Technology
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• v.24 no.6
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• pp.602-609
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• 2021

Aircraft radar has special function which is ranging from aircraft to ground of antenna boresight. Because ranging information is used to calibrate altitude of aircraft or to drop a conventional bomb, the measuring have to be precise and robust. Therefore, we propose a simple and efficient method using monopulse radar for ground ranging. Proposed method calculates balancing weight according to linearity of monopulse ratio and mixes two ranging measurements in proportional to the weight. By exploiting balancing weight, radar is able to react to various environment as monopulse ratio contains characteristics of clutter environment. As a result, robust ranging information can be achieved. We use DEM(Digital Elevation Model) in order to simulate heterogeneous environment. In experimental result, it is shown that proposed method shows better accuracy and precision in any environment.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.94-98
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• 2023

This study analyzes the combat case involving military drones during the Azerbaijan-Armenian War, which erupted on September 27, 2020. The background of the war revealed that Azerbaijan extensively and aggressively employed offensive drones, which played a decisive role in reshaping the dynamics of the battlefield. Despite Azerbaijan's GDP of $4.639, which corresponds to the level of a developing country, and its 64th rank in global military strength, the country boldly allocated a significant portion of its budget to develop its drone capabilities in preparation for the war. As a result, Azerbaijan effectively utilized offensive drones acquired from Turkey and Israel to neutralize hundreds of tanks, armored vehicles, artillery units, and air defense systems. The purpose of this study is to examine this context and explore how our Korean military organization can enhance its combat capabilities by developing a drone combat system, thereby enabling an effective response posture against multifaceted threats.

• Journal of the Korean Society of Systems Engineering
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• v.19 no.2
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• pp.145-156
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• 2023

Trajectory of ballistic missile is defined by inherent flight dynamics, which decided range and maneuvering characteristics. It is crucial to predict range and maneuvering characteristics of ballistic missile in KAMD (Korea Air and Missile Defense) to minimize damage due to ballistic missile attacks, Nowadays, needs for applying AI(Artificial Intelligence) technologies are increasing due to rapid developments of DNN(Deep Neural Networks) technologies. To apply these DNN technologies amount of data are required for superviesed learning, but trajectory data of ballistic missiles is limited because of security issues. Trajectory data could be considered as multivariate time series including many variables. And augmentation in time series data is a developing area of research. In this paper, we tried to augment trajectory data of ballistic missiles using recently developed methods. We used TimeVAE(Time Variational AutoEncoder) method and TimeGAN(Time Generative Adversarial Networks) to synthesize missile trajectory data. We also compare the results of two methods and analyse for future works.

• Journal of the Ergonomics Society of Korea
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• v.36 no.5
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• pp.535-543
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• 2017

Objective: This study was designed to identify factors affecting pilots' +Gz tolerance recovery from +Gz induced exhaustion. Background: +Gz tolerance of pilots has been considered as a crucial factor to fly the modern high performance fighter aircrafts. However, the factors affecting pilots' G-tolerance recovery from +Gz induced exhaustion have not been examined in the acceleration research community. Method: A centrifuge profile consisting of a high +Gz run for pilot's exhaustion and a low +Gz run for pilot's recovery and another high +Gz runs for pilot's second exhaustion was designed. The subjects' +Gz tolerance recovery ratio was measured by ratio of second high +Gz run time to the first high +Gz run time. The subjects' +Gz tolerance recovery rate was measured by dividing the subjects' +Gz tolerance recovery ratio by the low +Gz run time. The subjects' G-tolerance recovery rate was analyzed with respect to the subjects' personal factors including subjects' anthropometric and physiologic characteristics, flight time, flying aircraft type and so on. Results: The subjects' previous three-month flight hours (r=-0.336, p=0.039), six-month flight hours (r=-0.403, p=0.012) and one-year flight hours (r=-0.329, p= 0.044) correlated with the subjects' G-tolerance recovery rate. Conclusion: The subjects' G-tolerance recovery rate is clearly related to the subjects' previous flight hours. However, the subjects' anthropometric and physiologic characteristics do not show any statistically significant correlation with the subjects' G-tolerance recovery rate. Application: This research provides a safety critical insight to aviation community by identifying the factors to affect the gravity-induced loss of consciousness (GLOC) of pilots.