• Journal of the Korean Society for Aviation and Aeronautics
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• v.23 no.4
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• pp.117-124
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• 2015

RAM (Reliability, Availability and Maintenance) has been applied to design and analysis tools which affects system's operational sustainability and its life cycle cost as RAM-c(2009 DoD). RAM-c plays also an important role to guarantee the system engineering for mission assurance. Reliability is highly related to the probability of system failure. Availability means mission capability or the condition of ready to mission. Maintenance includes both the repair to recover the system in the event of failure/unexpected breakdown and proactive maintenance to prolong the design service life of the system or machinery. It is the purpose that this paper is to analyze and conclude the objective service life of UAV. The more UAV is operated, the less the level of its reliability becomes. Repairing failures and supplying spare parts on time, system reliability could be improved up until the time over target. Applying statistical Weibull distributions, this paper suggests the analysis of the design service life and economic life of UAV based on RAM-c with operational data.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.05a
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• pp.367-375
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• 2006

In this study, structural vibration analyses of a smart unmanned aerial vehicle (UAV) have been conducted considering dynamic loads generated by rotating rotor and wakes. The present UAV (TR-S5-03) finite element model is constructed as a full three-dimensional configuration with different fuel conditions and tilting angles for helicopter, transition and airplane flight modes. Practical computational procedure for modal transient response analysis (MTRA) is established. using general purpose finite element method (FEM) and computational fluid dynamics (CFD) technique. The dynamic loads generated by rotating blades in the transient and forward flight conditions are calculated by unsteady CFD technique with sliding mesh concept. As the results of present study, transient structural displacements and accelerations are presented in detail. In addition, vibration characteristics of structural parts and installed equipments are investigated for different fuel conditions and tilting angles.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2010.11a
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• pp.499-505
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• 2010

The UAV(Unmanned Aerial Vehicle) which is remotely operating with long endurance in high altitude must have a very reliable propulsion system. The precise fault diagnostic system of the turboprop engine as a propulsion system of this type UAV can promote reliability and availability. This work proposes a diagnostic method which can identify the faulted components from engine measuring parameter changes using Fuzzy Logic and quantify its faults from the identified fault pattern using Neural Network Algorithms. It is found by evaluation examples that the proposed diagnostic method can detect well not only single type faults but also multiple type faults.

• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.305-308
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• 2009

최근 카메라와 같은 센서가 장착된 UAV(Unmanned Aerial Vehicle, 무인항공기)를 이용하는 분야는 방재, 농업, 군사 분야 등 매우 다양해지고 있다. 그러나 고품질의 영상데이터를 취득하기 위해서는 가벼우면서도 우수한 성능을 지닌 고가의 MEMS 센서 그리고 센서가 안정적으로 데이터를 획득할 수 있도록 안정적인 비행이 가능한 대형 UAV플랫폼으로 구성된 시스템이 필요하기 때문에 시스템 구축비용이 클 수밖에 없다. 본 연구에서는 저비용으로 영상 데이터를 취득할 수 있는 UAV시스템을 구축하여 취득된 영상데이터의 처리를 통해 얻어지는 영상의 품질을 살펴보고 그 효용성을 시험해보았다. 이를 위해서 고가인 UAV를 대신해 비교적 가격이 저렴한 R/C헬기(Remote Control, 원격조종 헬기)를 플랫폼으로 선정하고, 영상데이터를 수집하는 카메라센서를 탑재하였다. 그리고 탑재된 센서가 안정적으로 데이터를 취득할 수 있도록, 센서와 플랫폼 사이에 Gimbal을 장착하였다. 이렇게 구축된 시스템을 이용하여 시험비행을 해보았으며, 그 결과 플랫폼에 탑재된 센서로부터 비교적 안정적이고 양질의 이미지를 획득할 수 있었다. 본 연구에서 구축한 R/C 헬리콥터 시스템을 통하여 저비용/고효율의 영상데이터를 취득할 수 있음을 확인하였다. 구축된 시스템은 근접한 거리에서 대상물의 영상을 취득하기 때문에 고품질의 3차원 모델데이터 생성에 매우 도움이 될 것으로 생각한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.249-249
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• 2016

무인항공기(UAV)는 군사적 목적으로 개발되었지만, 최근 다양한 분야에서 활용되고 있다. 수자원 관리를 위해서도 시대적 흐름에 따라 드론과 관련된 많은 연구가 진행되고 있다. 이수임 등(2015)은 UAV영상을 활용한 수변구조물의 DSM 생성 및 정확도 연구를 통해 지상 LIDAR와 같은 수준의 DSM 및 더욱 정확한 GCP 취득의 필요성을 제시했다. 이용창(2015)은 회전익 UAS 영상기반 고밀도 측점자료의 위치 정확도를 평가하였다. 이인수 등(2013)은 초경량 고정익무인항공기 사진측량기법의 정사영상 정확도 평가를 수행하였다. 또한 김민규 등(2010)은 풍수해 모니터링을 위한 UAV 적용성 분석을 실시하였고, 김홍래 등(2014)은 UAV를 활용한 감시정보정찰 임무분석 및 설계도구 개발을 위한 연구를 수행하였다. 상기와 같이 수자원 분야 활용을 위한 많은 연구가 보고 되고 있으나, 아직까지 드론 활용의 대부분은 항공영상 취득 및 분석기술 개발에 집중되어 있다. 본 연구에서는 무인항공기를 수재해 감시 및 관리 기술에 적용하기 위해 수행되었다. 수재해 감시 및 관리를 위한 방법으로 NIR(Near Infrared) 센서를 부착한 '재해관리용 드론'을 개발하고 현장실험을 수행하였다. 실험결과 NIR센서를 탑재한 드론은 수재해 관리에 매우 유용하게 활용될 수 있을 것으로 판단되었다.

• Journal of the Korea Institute of Military Science and Technology
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• v.24 no.4
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• pp.426-434
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• 2021

In this paper, three-dimensional unsteady computational fluid dynamic(CFD) analyses based on overset grid technique have been performed for a hand-launched unmanned aerial vehicle(UAV) considering the wake effect generated by a rotating propeller. In addition, the defection of rudder is considered in order to consider to predict the equilibrium condition of yawing moment during cruise flight conditions. It is importantly shown in this paper that the wake interference effect of the propeller is significant to accurately predict the yawing moment of the UAV and the yawing moment coefficient corresponding to a flight speed can be different because of its different amount of wake effect due to the different rotating speed of the propeller.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.6
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• pp.427-434
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• 2019

In the present study, we assessed the parallel computing performance of Agisoft Metashape for orthomosaic generation, which can implement aerial triangulation, generate a three-dimensional point cloud, and make an orthomosaic based on SfM (Structure from Motion) technology. Due to the nature of SfM, most of the time is spent on Align photos, which runs as a relative orientation, and Build dense cloud, which generates a three-dimensional point cloud. Metashape can parallelize the two processes by using multi-cores of CPU (Central Processing Unit) and GPU (Graphics Processing Unit). An orthomosaic was created from large UAV (Unmanned Aerial Vehicle) images by six conditions combined by three parallel methods (CPU only, GPU only, and CPU + GPU) and two operating systems (Windows and Linux). To assess the consistency of the results of the conditions, RMSE (Root Mean Square Error) of aerial triangulation was measured using ground control points which were automatically detected on the images without human intervention. The results of orthomosaic generation from 521 UAV images of 42.2 million pixels showed that the combination of CPU and GPU showed the best performance using the present system, and Linux showed better performance than Windows in all conditions. However, the RMSE values of aerial triangulation revealed a slight difference within an error range among the combinations. Therefore, Metashape seems to leave things to be desired so that the consistency is obtained regardless of parallel methods and operating systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.9
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• pp.2590-2608
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• 2023

The high-altitude and mobility characteristics of unmanned aerial vehicles (UAVs) have made them a key element of new radio systems, particularly because they can exceed the limits of terrestrial networks. However, at high altitudes, UAVs can be significantly affected by intercell interference at a high line-of-sight probability. To mitigate this drawback, we propose an algorithm that selects the optimal beam to reduce interference and maximize transmission efficiency. The proposed algorithm comprises two steps: constructing a user-location-based fingerprint database according to the user types presented herein and cooperative beam selection. Simulations were conducted using cellular cooperative downlink systems for analyzing the performance of the proposed method, and the signal-to-interference-plus-noise cumulative distribution function and spectral efficiency cumulative distribution function were used as performance analysis indicators. Simulation results showed that the proposed algorithm could reduce the effect of interference and increase the performance of the desired signal. Moreover, the algorithm could efficiently reduce overheads and system cost by reducing the amount of resources required for information exchange.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.38 no.4
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• pp.342-351
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• 2010

UAV (Unmanned Aerial Vehicle) have an INS(Inertial Navigation System) equipment and also have an electro-optical Equipment for mission. This paper proposes the vision based attitude estimation algorithm using Kalman Filter and Optical flow for UAV. Optical flow is acquired from the movie of camera which is equipped on UAV and UAV's attitude is measured from optical flow. In this paper, Kalman Filter has been used for the settlement of the low reliability and estimation of UAV's attitude. Algorithm verification was performed through experiments. The experiment has been used rate table and real flight video. Then, this paper shows the verification result of UAV's attitude estimation algorithm. When the rate table was tested, the error was in 2 degree and the tendency was similar with AHRS measurement states. However, on the experiment of real flight movie, maximum yaw error was 21 degree and Maximum pitch error was 7.8 degree.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.33-38
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• 2016

Understanding of current features of collapsed buildings, terrain, and other infrastructures is a critical issue for disaster site managers. On the other hand, a comprehensive site investigation of current location of survivors buried under the remains of a building is a difficult task for disaster managers due to the difficulties in acquiring the various information on the disaster sites. To overcome these circumstances, such as large disaster sites and limited capability of rescue workers, this study makes use of a drone (unmanned aerial vehicle) to effectively obtain current image data from large disaster areas. The framework of 3D model reconstruction of disaster sites using aerial imagery acquired by drones was also presented. The proposed methodology is expected to assist fire fighters and workers on disaster sites in making a rapid and accurate identification of the survivors under collapsed buildings.