• The Journal of the Convergence on Culture Technology
• /
• v.6 no.3
• /
• pp.105-109
• /
• 2020

The Future Army in 2050 should prepare for various future threats and effectively utilize its superintelligence and hyper-connected weapons systems to develop ways of fighting new concepts to dominate multi-regional battlefields and achieve victory. First, the establishment of active and offensive military strategies based on ability. Second, the battle of central strike for enemy combat will paralysis. Third, the battle of simultaneous integrated mosaic using multidisciplinary areas. Fourth, cyber warfare based on artificial intelligence that transcends time and space. Fifth, Combined Platform War. After all, future wars will be won or lost by invisible wars on cyber space.

• Journal of the Korea Society for Simulation
• /
• v.23 no.2
• /
• pp.47-55
• /
• 2014

Most combat simulation models, including Korean Army's combat models for simulation analysis, have too much limitations to be used for analysis of complex combats like joint combat fires. We analyze requirements for modeling and simulation of Fire-Eagle, which is a joint combat fire model of ground combat fires and army aviation. We then propose a simulation model for Fire Eagle and derive operational strategies for improving the joint combat fire. To do these, we analyze effectiveness of specific operational plans and scenarios by using the simulation model. We demonstrate ways of developing efficient and effective operational plans from the simulation experimental results.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.17 no.4
• /
• pp.395-403
• /
• 2014

Recent technological advancement has a profound effect on the ways that the war is being conducted and fought. The advanced communications, information, computing and sensor technologies enable the combat units to be integrated in the battlefield management network. By exchanging and sharing real-time battlefield information that is critical for the successful outcome of military engagement, the legacy forces are becoming much more effective and lethal than ever before, The bigger picture of such phenomena can be summarized as the concept of Network Centric Warfare(NCW). The main purpose of this study is to compare the outcome of regional combat engagement between the legacy forces and the future combat systems(FCS). The FCS capitalizes on the advanced technologies within the frame of NCW. This study uses the modeling and simulation methodology to assess the effectiveness of two different combat forces. The simulation results show that the FCS is more effective, hence vindicating the superiority of technologically advanced combat units.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2005.05a
• /
• pp.927-932
• /
• 2005

전투기를 적절히 정비하는 활동은 공군력을 유지하는데 중요하다. 일반적인 정비정책은 정해진 일정으로 주요 모듈의 정비를 수행한다. 그러나, 이러한 정비활동은 시간에 따라 변하는 모듈의 특성을 반영할 수 없다. 이에 본 연구는 변동되는 평균 고장간 시간 (MTBF) 과 평균 수리 시간 (MTTR)을 산출할 수 있는 확률효과회귀모형을 이용하여 시간에 따라 변동되는 모듈의 특성을 반영한 동적 예방정비 주기를 예측하고자 한다. 본 연구의 결과는 대한민국 공군의 전투 준비 태세 향상에 이바지 할 것으로 기대된다.

• Journal of the Korea Society for Simulation
• /
• v.30 no.2
• /
• pp.49-64
• /
• 2021

M&S techniques are widely used as scientific means to systematically develop response plans to chemical and biological (CB) hazards. However, while the theoretical area of hazard dispersion modeling has achieved remarkable practical results, the operational analysis area to simulate CB hazard response plans is still in an early stage. This paper presents a model to simulate CB hazard response plans such as detection, protection, and decontamination. First, we present a possible way to display high-fidelity hazard dispersion in a combat simulation model, taking into account weather and terrain conditions. We then develop an improved vulnerability model of the combat simulation model, in order to simulate CB damage of combat simulation entities based on other casualty prediction techniques. In addition, we implement tactical behavior task models that simulate CB hazard response plans such as detection, reconnaissance, protection, and decontamination. Finally, we explore its feasibility by analyzing contamination detection effects by distributed CB detectors and decontamination effects according to the size of the {contaminated, decontamination} unit. We expect that the proposed model will be partially utilized in disaster prevention and simulation training area as well as analysis of combat effectiveness analysis of CB protection system and its operational concepts in the military area.

• Journal of the military operations research society of Korea
• /
• v.37 no.1
• /
• pp.87-97
• /
• 2011

In this paper, we propose a new close combat expert system to overcome the difference of combat damage assessments between combat units belong to their own model in Combined Arms Integrated Interoperability System(CAIIS) which will be deployed in the early future. When it happens to engage in a battle among combat units belong to their own model in CAIIS, the result of damage assessment is different severely. This is related to CAIIS's confidence and need to be overcome. We propose the expert system for close combat damage assessment with a decision tree. Simulation results show that the proposed expert system is valid well. Because the proposed expert system is made not as an independent system but as an inner module type of CAIIS, CAIIS will be simpler system than we expect. And we will hope to reduce the cost of CAIIS.

• Convergence Security Journal
• /
• v.15 no.6_1
• /
• pp.25-31
• /
• 2015

It depend on relative combat power, patriotism and cohesion of citizen to victory in the battlefield. This stu dy try to analysis why the Germany army fail 'the Battle of the Bulge'. The Germany army plan of maneuve r to attack the France army was surprise attack in the beginning of World War II. The Germany army have initiative to make breakthrough Ardennes Ridge. The operation of the Ardennes Offensive Operation and the Battle of the Bulge is the typical features of blitzkrieg shock. However, the results are extremely different. In the course of the operational planning and decision the course of action, military security is most important fa ctor. We can see the truth in 'the Battle of the Bulge'.

• Journal of Korea Game Society
• /
• v.15 no.4
• /
• pp.49-58
• /
• 2015

Due to the improving mobile environments, we can play RPG in not only computer online field but also mobile field. It is difference from hardware environment between them so that mobile RPG has been changed and modified to play in mobile environment except RPG's frame and basic element. This Study has investigated the model to evaluate the balance of battle that is based on the RPG. Although there is an assessment model studied with a focus on the MMORPG, It is difficult to apply to the entire balance in RPG especially mobile RPG. Former model has used only basic element because there were so many kinds of variables such as user's controls, other players and objects in game. The reason why that model just gave a guide line about battle balance. In this paper, the new assessment model to include the balance factors such as BUFF, NURF and PASSIVE could be possible for applying the balance of mobile RPG on recent trends. As a result, the new model can measure numerical calculations compared to the previous model.

• Journal of the Korea Society for Simulation
• /
• v.22 no.1
• /
• pp.9-20
• /
• 2013

Defense M&S for weapons effectiveness is a realistic way to support virtual warfare similar to real warfare. As the war paradigm becomes platform-centric to network-centric, people try to utilize smartphones as the source of sensor, and command/control data in the simulation-based weapons effectiveness analysis. However, there have been limited researches on integrating smartphones into the weapon simulators, partly due to high modeling cost - modeling cost to accomodate client-server architecture, and re-engineering cost to adapt the simulator on various devices and platforms -, lack of efficient mechanisms to exchange large amount of simulation data, and low-level of security. In this paper, we design and implement Smartphone Adaptor to utilize smartphones for the simulationbased weapons effectiveness analysis. Smartphone Adaptor automatically sends sensor information, GPS and motion data of a client's smartphone to a simulator and receives simulation results from the simulator on the server. Also, we make it possible for data to be transferred safely and quickly through JSON and SEED. Smartphone Adaptor is applied to OpenSIM (Open simulation engine for Interoperable Models) which is an integrated simulation environment for weapons effectiveness analysis, under development of our research team. In this paper, we will show Smartphone Adaptor can be used effectively in constructing a Live simulation, with an example of a chemical simulator.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.05a
• /
• pp.298-300
• /
• 2021

The Ministry of National Defense decided to build a realistic combat simulation training system based on virtual reality and augmented reality in accordance with the expansion of the scientific training system of "Defense Reform 2.0". The realistic combat simulation training system should be able to maximize the tension and training effect as in actual combat through engagement between trainers. In addition, it should be possible to increase the effectiveness of survival training at the same time as shooting training similar to actual combat through cover training. Previous studies are suitable techniques to improve the shooting precision of the trainee, but it is difficult to practice bilateral engagement like in actual combat, and it is particularly insufficient for combat shooting training using cover. Therefore, in this paper, we propose a S/W algorithm for generating a virtual avatar by recognizing the shooting posture of the opponent on the screen of the virtual shooting trainer. This S/W algorithm can recognize the trainer and the cover based on the depth information acquired through the depth sensor and estimate the trainer's posture.