• 항공우주기술
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• 제13권1호
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• pp.1-9
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• 2014

고흥항공센터는 전남 고흥 간척지에 위치하며 길이 700m, 폭 25m의 활주로를 통해 국내에서 개발된 무인기의 비행시험장으로 활용되고 있으며 비행체 조립 및 점검을 위한 시험동을 갖추고 있다. 항공센터에서 이루어지는 개발 항공기들의 항공안전을 위하여 비행시험 지원설비를 구축하고 있으며 현재 지상감시시설로서 1090ES ADS-B를 구축하였다. ADS-B는 차세대 항행감시 장비로서 위성항법과 데이터 통신을 기반으로 항행정보를 실시간으로 공유할 수 있으며 구축된 ADS-B 지상국과 ADS-B 송신기간 지상 및 비행시험을 통하여 ADS-B 지상국의 정상적인 운용과 비행시험 활용 가능성을 확인하였다.

• 한국측량학회지
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• 제36권3호
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• pp.197-202
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• 2018

Drone has been continuously studied in the field of geography and remote sensing. The basic researches have been actively carried out before the utilization in the field of photogrammetry. In Korea, it is necessary to study the actual way of research in accordance with the drone utilization environment. In particular, analysis on the characteristics of DSM (Digital Surface Model) generated through drone are needed. In this study, the characteristic of drone DSM as a data acquisition method was analyzed for coastal management. The coastal area was selected as the study area, and data was acquired by using drone. As a result of the study, the terrain model and the ortho image of coastal area were produced. The accuracy of UAV (Unmanned Aerial Vehicle) results were very high about 10cm at check points. However, concavo-convex shapes appeared in very flat areas such as tidal flats and roads. To correct this terrain model distortion, a new terrain model was created through data processing and the results were evaluated. If additional studies are carried out and the construction and analysis of terrain model using drone image is done, drone data for coastal management will be available.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권3호
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• pp.901-920
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• 2015

Wireless Sensor Networks (WSNs) are widely used in geographically isolated applications like military border area monitoring, battle field surveillance, forest fire detection systems, etc. Uninterrupted power supply is not possible in isolated locations and hence sensor nodes live on their own battery power. Localization of sensor nodes in isolated locations is important to identify the location of event for further actions. Existing localization algorithms consume more energy at sensor nodes for computation and communication thereby reduce the lifetime of entire WSNs. Existing approaches also suffer with less localization coverage and localization accuracy. The objective of the proposed work is to increase the lifetime of WSNs while increasing the localization coverage and localization accuracy. A novel intelligent unmanned aerial vehicle anchor node (IUAN) is proposed to reduce the communication cost at sensor nodes during localization. Further, the localization computation cost is reduced at each sensor node by the proposed intelligent arc selection (IAS) algorithm. IUANs construct the location-distance messages (LDMs) for sensor nodes deployed in isolated locations and reach the Control Station (CS). Further, the CS aggregates the LDMs from different IUANs and computes the position of sensor nodes using IAS algorithm. The life time of WSN is analyzed in this paper to prove the efficiency of the proposed localization approach. The proposed localization approach considerably extends the lifetime of WSNs, localization coverage and localization accuracy in isolated environments.

• 한국항공운항학회지
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• 제15권4호
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• pp.24-32
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• 2007

In this study, computational structural vibration analyses of a smart unmanned aerial vehicle (SUAV) with tilt-rotors due to dynamic hub loads have been conducted considering detailed supporting structures of installed equipments. Three-dimensional dynamic finite element model has been constructed for different fuel conditions and tilting angles corresponding to helicopter, transition and airplane flight modes. Practical computational procedure for modal transient response analysis is successfully established. Also, dynamic loads generated by rotating blades and wakes in the transient and forward flight conditions are calculated by unsteady computational fluid dynamics technique with sliding mesh concept. As the results of present study, transient structural displacements and accelerations of the vibration sensitive equipments are presented in detail. In addition, vibration characteristics of structures and installed equipments of which safe operation is normally limited by the vibration environment specifications are physically investigated for different flight conditions.

• 한국안전학회지
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• 제31권4호
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• pp.150-155
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• 2016

This study is to suggest legislation and criteria for public service drones for disaster safety in order to enhance the research and development of the drones by helping setting right direction of the R&D. Many foreign governments are now conducting research and development on using drones as public service for disaster safety. Although there are also some efforts to using drones for public service in Korea, domestic laws and performance criteria for the drones for the purpose have not prepared yet. To set a right direction of the R&D, the laws and criteria shall be legislated and established immediately and then we can enhance the efforts to develop related technology for the drone. So this study proposed a performance criteria to fit various circumstances and situations by analyzing the aviation law in overseas. We hope this study can help R&D on the public service drones for disaster safety.

• 한국항공우주학회지
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• 제39권12호
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• pp.1160-1165
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• 2011

본 연구는 무인항공기 및 헬리콥터 등에 장착되어 운용되는 고정밀 관측 다축 구동 EO/IR 카메라의 진동해석에 관한 것이며, 카메라에 적용된 볼 베어링을 모델링 하는데 있어서 3축 스프링요소를 적용하는 방법을 제시하였고, 이것에 의한 유한요소모델의 진동 응답 결과를 얻었다. 볼 베어링을 3축 스프링 요소로 모델링한 진동해석결과는 시험결과와 비교 되었으며, 잘 일치함을 알 수 있었다. 또한, 랜덤진동 시간이력해석을 통하여 다축 구동 EO/IR 카메라의 진동 응답 특성을 해석하고 분석하였다. 이의 연구결과는 우주용 카메라들에 사용되는 볼 베어링의 유한요소모델링 기법에 응용될 수 있다.

• 한국항공우주학회지
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• 제40권3호
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• pp.264-272
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• 2012

시스템개발 프로젝트에서 기술성숙도(TRL; Technology Readiness Level)는 개발기간과 비용에 직접적인 영향을 미친다. 만약 프로젝트 주관기관의 핵심기술요소(CTEs)에 대한 기술 성숙도를 정확히 평가하여, 그에 따른 개발기간과 일정의 영향 정도를 세밀히 분석한다면, 개발이 진행되는 과정에서 예산 추가와 일정 지연과 같은 위험을 최소화시킬 수 있다. 본 논문에서는 기술성숙도가 항공우주개발 프로젝트의 개발기간과 비용에 미치는 영향을 분석하고, 무인기시스템 개발사업에 적용하여 개발기관의 기술성숙도 수준 차이에 따른 개발기간과 비용의 정량적인 변화를 분석하였다.

• International Journal of Aeronautical and Space Sciences
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• 제9권1호
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• pp.100-110
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• 2008

It is not easy to monitor and identify all engine faults and conditions using conventional fault detection approaches like the GPA (Gas Path Analysis) method due to the nature and complexity of the faults. This study therefore focuses on a model based diagnostic method using Neural Network algorithms proposed for fault detection on a turbo shaft engine (PW 206C) selected as the power plant for a tilt rotor type unmanned aerial vehicle (Smart UAV). The model based diagnosis should be performed by a precise performance model. However component maps for the performance model were not provided by the engine manufacturer. Therefore they were generated by a new component map generation method, namely hybrid method using system identification and genetic algorithms that identifies inversely component characteristics from limited performance deck data provided by the engine manufacturer. Performance simulations at different operating conditions were performed on the PW206C turbo shaft engine using SIMULINK. In order to train the proposed BPNN (Back Propagation Neural Network), performance data sets obtained from performance analysis results using various implanted component degradations were used. The trained NN system could reasonably detect the faulted components including the fault pattern and quantity of the study engine at various operating conditions.

• 항공우주기술
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• 제5권2호
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• pp.240-247
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• 2006

틸트로터 항공기는 회전익모드, 천이모드, 고정익모드를 동시에 갖는 복합 형상 항공기 이다. 각 비행모드에서 최적의 상태로 비행하기위해서는 조종면 변위를 적절히 분배하고 조합하는 조종면의 혼합기설계가 요구된다. 회전익과 고정익을 전환할 수 있도록 설계돤 천이모드는 나셀각의 변경에 따른 추력선이 변경되고 이로 인해 천이모드에서 피치, 롤, 요축에 대해 불필요한 힘과 모멘트를 발생시킨다. 본 논문에서는 나셀의 틸팅각 변화에 따라 발생하는 힘과 모멘트를 다른 조종면을 통해 적절히 조절하여 일관된 항공기의 운동이 발생하도록 하는 스마트무인기 40% 축소모델에 대한 조종면 혼합기설계에 대해 서술하였다.

• Smart Structures and Systems
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• 제25권6호
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• pp.733-749
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• 2020

This study presents a computer vision-based approach for representing time evolution of structural damages leveraging a database of inspection images. Spatially incoherent but temporally sorted archival images captured by robotic cameras are exploited to represent the damage evolution over a long period of time. An access to a sequence of time-stamped inspection data recording the damage growth dynamics is premised to this end. Identification of a structural defect in the most recent inspection data set triggers an exhaustive search into the images collected during the previous inspections looking for correspondences based on spatial proximity. This is followed by a view synthesis from multiple candidate images resulting in a single reconstruction for each inspection round. Cracks on concrete surface are used as a case study to demonstrate the feasibility of this approach. Once the chronology is established, the damage severity is quantified at various levels of time scale documenting its progression through time. The proposed scheme enables the prediction of damage severity at a future point in time providing a scope for preemptive measures against imminent structural failure. On the whole, it is believed that the present study will immensely benefit the structural inspectors by introducing the time dimension into the autonomous condition assessment pipeline.