• Journal of Ecology and Environment
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• 제41권3호
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• pp.85-92
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• 2017

Unmanned aerial vehicles (UAVs) are a new and yet constantly developing part of forest inventory studies and vegetation-monitoring fields. Covering large areas, their extensive usage has saved time and money for researchers and conservationists to survey vegetation for various data analyses. Post-processing imaging software has improved the effectiveness of UAVs further by providing 3D models for accurate visualization of the data. We focus on determining the coniferous tree coverage to show the current advantages and disadvantages of the orthorectified 2D and 3D models obtained from the image photogrammetry software, Pix4Dmapper Pro-Non-Commercial. We also examine the methodology used for mapping the study site, additionally investigating the spread of coniferous trees. The collected images were transformed into 2D black and white binary pixel images to calculate the coverage area of coniferous trees in the study site using MATLAB. The research was able to conclude that the 3D model was effective in perceiving the tree composition in the designated site, while the orthorectified 2D map is appropriate for the clear differentiation of coniferous and deciduous trees. In its conclusion, the paper will also be able to show how UAVs could be improved for future usability.

• Advances in aircraft and spacecraft science
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• 제2권4호
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• pp.445-467
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• 2015

The paper presents some details of the CFD modeling of a novel design where jet ignition devices replace the traditional spark plugs for a faster and more complete combustion. The numerical simulations show how the pre-chamber jet ignition in a Wankel engine differs from reciprocating piston engine applications. The jets issuing from the jet ignition pre-chamber have many different speeds in the different directions as the pressure build-up at the trailing edge of the rotating chamber makes extremely fast the ignition of the chamber mixture in the direction of rotation. Conversely it prevents the jet ignition in the opposite direction. Careful positioning along the periphery and design of the connecting pipes and the prechamber volume with the help of CFD simulations permits to achieve extremely fast and complete combustion as impossible with spark plugs. The paper proposes results of CFD simulations of the combustion evolution within a jet ignited Wankel engine rotor, detailing challenges and opportunities of the application, as well as a first assessment of the impact the faster and more complete combustion permitted by jet ignition may have on the performances of Wankel engines for unmanned aerial vehicles applications.

• 한국군사과학기술학회지
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• 제26권3호
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• pp.252-261
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• 2023

Analysis of dynamic characteristics and flight vibration test for unmanned aerial vehicles was studied by using dummy test body. The FEM model for dummy test body was supplemented by results of modal and random vibration test. The free end boundary condition to simulate flight environments was made by test setup using bungee cable. Prior to the flight vibration test using a dual electric vibration exciters, the test procedure to calculate quantitative vibration level was studied by using military specification. The actual test was successfully done by using the analysis and pretest results. From the analysis results, it was possible to determine the feasibility of the test by predicting the excitation force of the flight vibration test and to get the response of any point which could not be measured by the test. The results of this study will much contribute to the Test and Evaluation of unmanned aerial vehicles.

• 한국산업융합학회 논문집
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• 제26권6_2호
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• pp.1073-1082
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• 2023

Thermal sensors, also called thermal infrared wavelength sensors, measure temperature based on the intensity of infrared signals that reach the sensor. The infrared signals recognized by the sensor include infrared wavelength(0.7~3.0㎛) and radiant infrared wavelength(3.0~100㎛). Infrared(IR) wavelengths are divided into five bands: near infrared(NIR), shortwave infrared(SWIR), midwave infrared(MWIR), longwave infrared(LWIR), and far infrared(FIR). Most thermal sensors use the LWIR to capture images. Thermal sensors measure the temperature of the target in a non-contact manner, and the data can be affected by the sensor's viewing angle between the target and the sensor, the amount of atmospheric water vapor (humidity), air temperature, and ground conditions. In this study, the characteristics of three thermal imaging sensor models that are widely used for observation using unmanned aerial vehicles were evaluated, and the optimal application field was determined.

• 융합정보논문지
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• 제10권12호
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• pp.201-207
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• 2020

본 연구에서는 무인 항공기 촬영 사진 정보의 실용성을 파악하였다. 따라서 무인 항공기를 활용한 사진촬영 대상 조사구 중 밭층 조사구역를 대상으로 연속적으로 총 4회 조사하여 조사 시기별 촬영된 무인 항공기 사진을 활용하여 조사구의 작황 변화에 대하여 분석하였다. 지형, 작물 식재, 작형의 변화가 많게 예상되는 지역인 밭층에서는 무인 항공기를 활용하여 현장조사 시기에 맞게 해당 조사구를 직접 촬영하여 사진 정보를 수집, 활용하는 것이 적합하다. 그리고 비교적 변화가 없는 논-시설층에서는 경제적, 효율적 측면을 고려하여 위성영상을 활용하는 것이 적합한 것으로 나타났다. 조사구역에 작물 재배조사를 위한 시스템들이 잘 갖추어지게 된다면, 향후 무인 항공기를 활용하여 일정한 지역에 대한 사진자료를 취득한 후 라이브러리를 활용하여 실시간으로 딥러닝을 활용할 수 있다. 이를 통해 작물의 작황상태를 파악, 재배 면적과 단위 면적당 수량 조사 등으로 전체 작황 및 출하량 등을 분석하는 데에 사용할 수 있을 것으로 판단된다.

• 항공우주시스템공학회지
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• 제18권2호
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• pp.95-103
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• 2024

무인기에 적용되는 다양한 추진기관 기술은 항공의 중요한 개발 방향 중의 하나인 무인기의 비행 성능에 크게 관련이 있다. 본 논문에서는 무인기의 내연기관(왕복엔진, 로타리엔진, 가스터빈엔진), 하이브리드 및 순수한 전기 추진시스템에 대하여 조사를 수행하였다. 특히 이러한 추진기관들의 분류, 작동사이클, 특성 및 주요 기술들에 대하여 제시하였다. 그러므로 미래의 무인기 추진시스템의 개발 틀, 종합적인 예측 및 다양한 비교를 정립하는데 도움을 줄 것으로 판단된다.

• International journal of advanced smart convergence
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• 제9권3호
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• pp.207-214
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• 2020

Currently, the operation of unmanned aerial vehicle (UAV) is regulated to be able to fly only within the visible range, but in recent years, the needs for operation in the invisible area, in the urban area and at night have increased. In order to operate UAVs in the invisible area, at night, and in the urban area, a flight path for UAVs must be prepared like those operated by manned aircraft, and for this, it is necessary to establish an unmanned aircraft system traffic management (UTM). In order to establish the UTM, information on the minimum separation distance to prevent collisions with UAVs and buildings is required, and accordingly, information on the navigation performance of UAVs is required. In order to analyze the navigation performance of an UAV, total system error (TSE), which is the difference between the planned flight path and the actual location of the UAV, is required. If the collected data are insufficient and classification according to integrity, independence, and direction is not performed, accurate navigation performance is not derived. In this paper, propose a navigation performance analysis method of UAV that is derived TSE using flight data and modeled with normal distribution, analyze performance.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제6권2호
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• pp.51-56
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• 2017

최근에 증가한 무인항공기(Unmanned Aerial Vehicle, UAV) 활용에 따라 다양한 UAV 제어 방법이 도입되고 있다. 일반적으로는 UAV 조종기를 통해 직접 제어하는 방법이 많이 활용되고 있다. 하지만, 세밀한 UAV 제어를 위해서는 직관적인 사용자 인터페이스가 필요하다. 이 논문에서는 다수개의 Myo로 UAV를 제어하는 방법을 제안한다. 이를 위해서 기 개발된 지상관계시스템을 통해 Myo로 UAV를 제어하는 방법을 소개한다. 체감형 인터페이스로 UAV를 제어함으로써 직관적인 제어가 가능하다.

• 항공우주시스템공학회지
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• 제10권2호
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• pp.7-13
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• 2016

Multi disciplinary approach for aerodynamics, structure, propulsion, and flight control system is necessary to develop High Altitude Long Endurance Unmanned Aerial Vehicles (HALE UAV). Various HALE UAV development trends are surveyed to understand their operational requirements. Separating the UAV Take Off Weight by 150kg, Airworthiness implementation direction for HALE UAV is studied under the current Airworthiness regulations. NATO STANAG 4671 and STANAG 4703 Airworthiness certification criteria are analyzed, and their applicability was proposed for future HALE UAV development. In addition, minimization of the risk for UAV is studied by considering probability of cumulative catastrophic failure for HALE UAV. This Hazard Risk Index can support the future UAV Airworthiness Certification Criteria.

• 반도체디스플레이기술학회지
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• 제16권3호
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• pp.127-130
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• 2017

In this research, we present a path planning method for an autonomous flight of unmanned aerial vehicles (UAVs) through reinforcement learning under simulated environment. We design the simulator for reinforcement learning of uav. Also we implement interface for compatibility of Deep Q-Network(DQN) and simulator. In this paper, we perform reinforcement learning through the simulator and DQN, and use Q-learning algorithm, which is a kind of reinforcement learning algorithms. Through experimentation, we verify performance of DQN-simulator. Finally, we evaluated the learning results and suggest path planning strategy using reinforcement learning.