• Title/Summary/Keyword: Ground Combat

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Demonstration of system to combat desertification using renewable energy (신재생에너지를 이용한 사막화 방지 시스템 실증 (몽골))

  • Kim, Man-Il;Lee, Seung-Hun;Whang, Jung-Hun;Cho, Woon-Sic;Park, Moon-Hee
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.06a
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    • pp.73-76
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    • 2009
  • Generally, wind or solar power system is operated as a stand-alone power system, the efficiency of which could be higher by designing wind-solar combined system considering average wind speed and solar radiation of the desert region, Mongolia. This system is designed to generate electricity for power users and pumps the ground water for irrigation using deep well pump. The ground water can be used for farming or forestation where there is no or little irrigation system. In connection with this study, a renewable energy park, Green Eco Energy Park, was developed at about 50km east of Ulaanbaatar. 3 sets of 10kW wind power generator and 70 kW of solar power module were installed there. The electricity generated from the system is used to on-site office building and deep well pump for ground water pumping. A 10kW stand-alone solar pumping system, which has no rechargeable battery system, is installed to pump the ground water with the amount of generated power. The ground water is stored in 3 artificial ponds and then it is used for raising nursery tree and farming. The purpose of this study is to provide a possible energy solution to desert regions where there is no or little power system. The system also supply power to ground water pump, and the water can be used for farming and forestation, which will also be a solution of preventing desertification or spreading of desert area.

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Monte Carlo Simulation based Optimal Aiming Point Computation Against Multiple Soft Targets on Ground (몬테칼로 시뮬레이션 기반의 다수 지상 연성표적에 대한 최적 조준점 산출)

  • Kim, Jong-Hwan;Ahn, Nam-Su
    • Journal of the Korea Society for Simulation
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    • v.29 no.1
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    • pp.47-55
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    • 2020
  • This paper presents a real-time autonomous computation of shot numbers and aiming points against multiple soft targets on grounds by applying an unsupervised learning, k-mean clustering and Monte carlo simulation. For this computation, a 100 × 200 square meters size of virtual battlefield is created where an augmented enemy infantry platoon unit attacks, defences, and is scatted, and a virtual weapon with a lethal range of 15m is modeled. In order to determine damage types of the enemy unit: no damage, light wound, heavy wound and death, Monte carlo simulation is performed to apply the Carlton damage function for the damage effect of the soft targets. In addition, in order to achieve the damage effectiveness of the enemy units in line with the commander's intention, the optimal shot numbers and aiming point locations are calculated in less than 0.4 seconds by applying the k-mean clustering and repetitive Monte carlo simulation. It is hoped that this study will help to develop a system that reduces the decision time for 'detection-decision-shoot' process in battalion-scaled combat units operating Dronebot combat system.

A Study on Agent based Simulation System Architecture for the Engagement of Ground Weapon Systems (지상무기체계 교전 모의를 위한 에이전트 기반 시뮬레이션 시스템 아키텍처 설계 연구)

  • Hwam, Won K.;Chung, Yongho;Na, Jaeho;Park, Sang C.
    • Journal of the Korea Society for Simulation
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    • v.21 no.4
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    • pp.81-90
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    • 2012
  • Presented in this paper is a study for construction of a simulation system for the engagement of ground weapon systems. This paper proposes architecture for the simulation system based on agent simulation design methodology. Every entity of the proposed architecture is developed by assembling modularized agent components, and it enhances the reusability and composability of the entity. Consequently, time, costs, and efforts that are required to develop a new simulation system is able to be reduced by the enhancement. In the case of ground engagement simulation, it is very important to reflect environmental effects. Synthetic battlefield of the proposed architecture has environmental data of the battlefield and interacts with entities in the simulation system. The proposed architecture based simulation system can build swiftly various simulation models by the objectives and derive reasonable results from behaviors of entities that include environmental effects. This paper contains the construction of an example system based on the proposed architecture to verify the advantages of the architecture.

Analysis of Information Distribution Capability of the Army TIGER Corps Multilayer Integrated Communication Network (Army TIGER 군단 다계층 통합 전술통신망의 정보유통량 분석)

  • Junseob Kim;Sangjun Park;Yiju You;Yongchul Kim
    • Convergence Security Journal
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    • v.24 no.2
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    • pp.175-180
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    • 2024
  • Future warfare is evolving with advanced science and technology, introducing a variety of unmanned and manned combat systems. These systems generate and exchange massive amounts of information, challenging current tactical communication systems as a foundation for future communication infrastructure. To analyze the information distribution capability of the Army TIGER corps, this paper examines four scenarios: standalone ground network operation, integrated network operation, load distribution, and error recovery. Utilizing M&S results, we highlight the potential of a multilayer integrated command and control network, incorporating ground, air, and space networks, to enhance the reliability and stability of the overall communication network.

Strategic Operation Method of Military Robot System for Future Warfare (미래 전투를 위한 군사 로봇 시스템의 전략적 운용 방법)

  • Lee, Jun-Pyo;Cho, Han-Jun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2012.01a
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    • pp.169-170
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    • 2012
  • 현대전에서는 인명 손실을 최소화하는 동시에 타 전투체계와의 연계를 통해 부여된 임무를 성공적으로 이끌어 내기 위해 무인로봇을 활발하게 이용하고 있다. 본 논문에서는 미래 전장에서 중심 역할을 수행할 것으로 기대되는 무인로봇과 통제장치의 기능을 제안한다. 통제장치는 디지털 지도를 기반으로 무인로봇의 위치를 전시하는 동시에 특정 위치로의 자율 이동 명령을 내리게 하는 인터페이스이다. 통제장치에서 무인로봇의 실시간 이동 간에 디지털 지도 기반 가시선(line of sight) 분석을 수행함으로써 통신 가능지역 식별 및 중계기를 통한 통신 가능 영역 식별을 용이하게 한다. 제안한 무인로봇과 통제장치를 통해 전장 환경에서 부여된 작전을 성공적으로 이끄는데 주된 역할을 수행할 것으로 기대한다.

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ROKN's Response Strategy to North Korea's SLBM Threat (북한 SLBM 위협과 대응방향)

  • Moon, Chang-Hwan
    • Strategy21
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    • s.40
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    • pp.82-114
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    • 2016
  • The purpose of this article is to analyze the progress of North Korea's SLBM threat, and to assess the technological capacity and threat level of its SLBMs. Currently, North Korea has approximately 1000 ballistic missiles, such as the SCUD, Musudan, and Nodong, in stock. This article pays close attention to the background and strategical implication behind North Korea's obsession with developing SLBMs despite possessing sufficient means to launch provocations with its current arsenal of ground based ballistic missiles and conventional weapons. Based on the abovementioned analysis, this article will recommend possible response directions for the ROK Armed Forces to North Korea's SLBM threat. It is highly difficult to detect SLBMs due to its stealthy nature, as it is launched underwater after covert infiltration. North Korea's SLBM is considered a game changer in that even one SLBM can significantly change the strategic balance of North East Asia. North Korea's SLBM test launch in August has made a 500km flight, landing 80km inside the JADIZ (Japan Air Defense Identification Zone), and as such, it is assessed that North Korea already possesses underwater ejection and cold launch capabilities. The most realistic response to North Korea's imminent SLBM threat is bolstering anti-submarine capabilities. ROK Armed Forces need to upgrade its underwater kill-chain by modernizing and introducing new airborne anti-submarine assets and nuclear-powered submarines, among many options. Moreover, we should integrate SM-3 missiles with the Aegis Combat system that possess strong detection capabilities and flexibility, thereby establishing a sea-based Ballistic Missle Defense (BMD) system centered around the Aegis Combat System, as sea-based ballistic missile threats are best countered out in the seas. Finally, the capabilities gap that could arise as a result of budgetary concerns and timing of fielding new assets should be filled by establishing firm ROK-US-Japan combined defense posture.

Trajectory Generation, Guidance, and Navigation for Terrain Following of Unmanned Combat Aerial Vehicles (무인전투기 근접 지형추종을 위한 궤적생성 및 유도 항법)

  • Oh, Gyeong-Taek;Seo, Joong-Bo;Kim, Hyoung-Seok;Kim, Youdan;Kim, Byungsoo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.40 no.11
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    • pp.979-987
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    • 2012
  • This paper implements and integrates algorithms for terrain following of UCAVs (Unmanned Combat Aerial Vehicles): trajectory generation, guidance, and navigation. Terrain following is very important for UCAVs because they perform very dangerous missions such as Suppression of Enemy Air Defences while the terrain following can improve the survivability of UCAVs against from the air defence systems of the enemy. To deal with the GPS jamming, terrain referenced navigation based on nonlinear filter is chosen. For the trajectory generation, Voronoi diagram is adopted to generate horizontal plane path to avoid the air defense system. Cubic spline method is used to generate vertical plane path to prevent collisions with ground while flying sufficiently close to surface. Follow-the-Carrot and pure pursuit tracking methods, which are look-ahead point based guidance algorithms, are applied for the guidance. Numerical simulation is performed to verify the performance of the integrated terrain following algorithm.

Development of an ACMI Simulator Based on LVC Integrating Architecture (LVC 통합 아키텍처 기반 실기동급 ACMI 모의기 개발)

  • Jang, Youngchan;Oh, Jihyun;Myung, Hyunsam;Kim, Cheonyoung;Hong, Youngseok
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.43 no.6
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    • pp.540-547
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    • 2015
  • This paper describes development contents and flight tests of an ACMI simulator based on LVC integrating architecture. ACMI is the system that provides air combat training and ground bombing training for improving fighting efficiency, that is the live simulation involving real people to operate real systems. ACMI simulator was developed for technic acquisition of LVC interoperability by using data link communication. ACMI simulator simulated maneuvering of a fighter by operating an UAV, a fighter can be distinguished from an UAV by maneuvering characteristics. This study proposes maneuvering simulation method by using flight data of the UAV, and performed its flight test for verifying similarity of fighter maneuvering.

Deriving Priorities between Autonomous Functions of Unmanned Aircraft using AHP Analysis: Focused on MUM-T for Air to Air Combat (AHP 기법을 이용한 무인기 자율기능 우선순위 도출: 유무인 협업 공대공 교전을 중심으로)

  • Jung, Byungho;Oh, Jihyun;Seol, Hyeonju;Hwang, Seong In
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.1
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    • pp.10-19
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    • 2022
  • Recently, the Defense Advanced Research Projects Agency(DARPA) in the United States is studying a new concept of war called Mosaic Warfare, and MUM-T(Manned-Unmanned Teaming) through the division of missions between expensive manned and inexpensive unmanned aircraft is at the center. This study began with the aim of deriving the priority of autonomous functions according to the role of unmanned aerial vehicles in the present and present collaboration that is emerging along with the concept of mosaic warfare. The autonomous function of unmanned aerial vehicles between the presence and absence collaboration may vary in priority depending on the tactical operation of unmanned aerial vehicles, such as air-to-air, air-to-ground, and surveillance and reconnaissance. In this paper, ACE (Air Combat Evaluation), Skyborg, and Longshot, which are recently studied by DARPA, derive the priority of autonomous functions according to air-to-air collaboration, and use AHP analysis. The results of this study are meaningful in that it is possible to recognize the priorities of autonomous functions necessary for unmanned aircraft in order to develop unmanned aerial vehicles according to the priority of autonomous functions and to construct a roadmap for technology implementation. Furthermore, it is believed that the mass production and utilization of unmanned air vehicles will increase if one unmanned air vehicle platform with only essential functions necessary for air-to-air, air-to-air, and surveillance is developed and autonomous functions are expanded in the form of modules according to the tactical operation concept.

A Method of Obstacle Detection in the Dust Environment for Unmanned Ground Vehicle (먼지 환경의 무인차량 운용을 위한 장애물 탐지 기법)

  • Choe, Tok-Son;Ahn, Seong-Yong;Park, Yong-Woon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.13 no.6
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    • pp.1006-1012
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    • 2010
  • For the autonomous navigation of an unmanned ground vehicle in the rough terrain and combat, the dust environment should necessarily be overcome. Therefore, we propose a robust obstacle detection methodology using laser range sensor and radar. Laser range sensor has a good angle and distance accuracy, however, it has a weakness in the dust environment. On the other hand, radar has not better the angle and distance accuracy than laser range sensor, it has a robustness in the dust environment. Using these characteristics of laser range sensor and radar, we use laser range sensor as a main sensor for normal times and radar as a assist sensor for the dust environment. For fusion of laser range sensor and radar information, the angle and distance data of the laser range sensor and radar are separately transformed to the angle and distance data of virtual range sensor which is located in the center of the vehicle. Through distance comparison of laser range sensor and radar in the same angle, the distance data of a fused virtual range sensor are changed to the distance data of the laser range sensor, if the distance of laser range sensor and radar are similar. In the other case, the distance data of the fused virtual range sensor are changed to the distance data of the radar. The suggested methodology is verified by real experiment.