• 사물인터넷융복합논문지
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• 제8권2호
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• pp.35-40
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• 2022

농업환경에서 농약방제는 농업인에게 작업 위험성과 높은 노동력을 요구한다. 무인항공기를 활용한 농약방제는 기후, 토지형태, 무인항공기의 특성에 따라 효율성이 다르게 나타난다. 따라서, 살포조건과 환경조건을 고려한 효율적인 무인항공기 농약방제 방안이 요구된다. 본 논문은 작물별 살포조건과 환경정보를 고려한 농업용 무인항공기 기반의 효율적인 농약 방제 시스템을 제안한다. 감수지 부착 후 고도 및 속도 변화에 따른 농약 낙하균일도 측정 및 작물 성장조건 변화에 따른 수관내부 약제 침투율 측정 실험을 통해 제안하는 모델의 효과성을 보였다. 실험결과, 무인항공기의 높이가 지면과 가까울수록 작물에 고르게 살포되지만 안전이 고려된 2m이상이 높이와 평균 2m/s의 속도에서 가장 방제효과가 적합하였다. 제안하는 방제 시스템은 농업환경에서의 다양한 무인항공기 활용 기반 지능형 서비스 개발에 도움을 줄 것으로 기대한다.

• 한국측량학회지
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• 제27권1호
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• pp.743-750
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• 2009

1972년 국내에서는 아날로그카메라를 이용하여 항공사진측량을 시작한 이래로 최근에는 항공사진측량의 효율성을 향상시키기 위해서 고해상도 디지털항공사진 카메라의 도입이 적극적으로 추진되고 있다. 본 연구에서는 항공사진측량을 위해 개발된 고해상도 디지털항공사진카메라 중에서 DMC(Digital Mapping Camera) 카메라에 대한 3차원 위치결정의 정확도를 기존의 아날로그카메라와 비교하여 평가하였다. 이를 위해서 인천인근지역에 테스트필드를 선정하고 기준점을 설치한 후 항공사진측량을 수행하였다. 아날로그카메라 및 DMC 카메라 항공사진의 3차원 위치결정의 정확도를 비교한 결과, 정확도에는 큰 차이가 없었으며, GPS/IMU 자료에 기준점을 추가하여 항공삼각측량을 수행한 후 위치결정을 수행했을 경우 정확도가 향상됨을 알 수 있었다.

• 전기학회논문지
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• 제65권1호
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• pp.135-141
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• 2016

Recently, the needs for the development and application of marine robots are increasing as marine accidents occur frequently. However, it is very difficult to acquire the information by utilizing marine robots in the marine environment. Therefore, the needs for the researches of sensor networks which are composed of underwater, surface and aerial robots are increasing in order to acquire the information effectively as the information from heterogeneous robots has less limitation in terms of coverage and connectivity. Although various researches of the sensor network which is based on marine robots have been executed, all of the underwater, surface and aerial robots have not yet been considered in the sensor network. To solve this problem, a collaborative control method based on the acoustic information and image by the sonars of the underwater robot, the acoustic information by the sonar of the surface robot and the optical image by the camera of the static-floating aerial robot is proposed. To verify the performance of the proposed method, the collaborative control of a MUR(Micro Underwater Robot) with an OAS(Obstacle Avoidance Sonar) and a SSS(Side Scan Sonar), a MSR(Micro Surface Robot) with an OAS and a BMAR(Balloon-based Micro Aerial Robot) with a camera are executed. The test results show the possibility of real applications and the need for additional studies.

• Animal Bioscience
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• 제34권12호
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• pp.1981-1986
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• 2021

Objective: This study aimed to investigate the effect of Salvia miltiorrhiza (S.m.) aerial parts as an alternative ingredient on growth performance, nutrient digestibility, and digestive enzymes in growing rabbits. Methods: Treatments included five tested diets: a control (basal diet), antibiotic (basal diet+enramycin at 5 mg/kg), and S.m. aerial parts powder added at 3.0%, 6.0%, and 9.0% of feed using 300 growing rabbits. Results: The diets with S.m. aerial parts addition at 9.0% decreased (p<0.05) feed/gain compared to the control, but there were no differences in feed intake and body weight gain. In contrast with the control, the addition of antibiotic increased (p<0.05) digestibility of dry matter, crude protein, energy, fiber, and ash. The herb addition did not cause differences in the digestibility of most nutrients compared to the antibiotic, but fiber digestibility of the herb at 6.0% and 9.0% was lower (p<0.05) than that of the antibiotic. Moreover, the antibiotic and the herb also similarly increased (p<0.05) the activities of duodenal α-amylase, maltase, lipase, and trypsin, compared to the control, and the herb at 6.0% and 9.0% showed a greater (p<0.05) activity of elastase than the dose 3.0%. Conclusion: The obtained data indicate that S.m. aerial parts can be a potential forage in rabbit's diet at 9.0% with a beneficial regulation on nutrition and digestion.

• 한국항공우주학회지
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• 제32권10호
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• pp.127-133
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• 2004

본 논문은 무인항공기의 자동비행을 위한 이동형 지상제어 시스템 개발에 관한 연구이다. 본 연구에서는 휴대와 이동을 수월하게 하기 위한 이동형 지상제어시스템 (PGCS)을 개발하였다. 일반적으로 지상제어시스템은 항공기가 수행해야할 임무정보를 전송하고, 원활한 조종을 위하여 항공기 위치, 자세, 상태, 항법 정보를 항공기로부터 실시간 수신할 수 있어야 한다. 이동형 지상제어시스템 구성은 노트북 컴퓨터, 지상제어시스템과 항공기간의 통신을 위한 모뎀, 입/출력 보드, 무선조종 수신기 그리고 여러 개의 스위치와 LED 램프로 구성된다. 소형 무인항공기를 이용한 비행시험으로서 본 연구에서 개발한 이동형 지상제어시스템 성능 검증을 수행하였다.

• 융합정보논문지
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• 제9권11호
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• pp.118-124
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• 2019

무인항공기의 기술이 많이 보급화 되면서 다양한 종류의 무인항공기 및 임무 다변화에 따라 다양한 종류의 임무 장비가 개발되고 있다. 그중에서도 국내에서는 소형 무인항공기가 활발히 개발되고 있으며 소형 무인기의 효과적인 조정을 위한 비행제어 시스템과 임무 장비의 연동 시스템이 필요하고, 또한 데이터를 처리하여 지상 운용시스템으로 전송을 위한 효율적인 통신장비의 구성 및 운용이 요구되고 있다. 본 논문에서는 소형 무인항공기의 임무 및 제어를 위하여 비행제어 시스템과 임무 장비 제어 시스템을 이용한 임무 장비의 확장, 데이터 링크 통합 및 통신장비 운용에 대하여 서술하였으며 이를 통하여 효과적인 소형 무인항공기의 운용에 대하여 정리하였다.

• 제어로봇시스템학회논문지
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• 제17권10호
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• pp.967-982
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• 2011

This paper presents a FTNCS (Fault-Tolerant Networked Control System) that can tolerate control surface failure and packet delay/loss in an UAV (Unmanned Aerial Vehicle). The proposed method utilizes the benefits of self-diagnosis by smart actuators along with the control allocation technique. A smart actuator is an intelligent actuation system combined with microprocessors to perform self-diagnosis and bi-directional communications. In the event of failure, the smart actuator provides the system supervisor with a set of actuator condition data. The system supervisor then compensate for the effect of faulty actuators by re-allocating redundant control surfaces based on the provided actuator condition data. In addition to the compensation of faulty actuators, the proposed FTNCS also includes an efficient algorithm to deal with network induced delay/packet loss. The proposed algorithm is based on a Lagrange polynomial interpolation method without any mathematical model of the system. Computer simulations with an UAV show that the proposed FTNCS can achieve a fast and accurate tracking performance even in the presence of actuator faults and network induced delays.

• Smart Structures and Systems
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• 제29권4호
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• pp.617-624
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• 2022

A new intelligent adaptive control scheme was proposed that combines the control based on interference observer and fuzzy adaptive s-curve for flight path tracking control of unmanned aerial vehicle (UAV). The most important contribution is that the control configurations don't need to know the uncertainty limit of the vehicle and the influence of interference is removed. The proposed control law is an integration of fuzzy control estimator and adaptive proportional integral (PI) compensator with input. The rated feedback drive specifies the desired dynamic properties of the closed control loop based on the known properties of the preferred acceleration vector. At the same time, the adaptive PI control compensate for the unknown of perturbation. Additional terms such as s-surface control can ensure rapid convergence due to the non-linear representation on the surface and also improve the stability. In addition, the observer improves the robustness of the adaptive fuzzy system. It has been proven that the stability of the regulatory system can be ensured according to linear matrix equality based Lyapunov's theory. In summary, the numerical simulation results show the efficiency and the feasibility by the use of the robust control methodology.

• International Journal of Internet, Broadcasting and Communication
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• 제8권4호
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• pp.58-62
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• 2016

Shipping related services is attracting attention as a UAV (Unmanned Aerial Vehicle) application with the recent economy has been generally accepted drones. UAV of the existing military-driven logistics delivery, aerial photography, wireless Internet connection, broadcasting, disaster research, digital maps, transportation, advertising, meteorological, border surveillance, agricultural use, such as hobbies range of uses from up military are diverse and growing. The advantage of delivery drones seems to be an important feature of delivery of the goods, including labor-saving, long-distance transportation in cold weather. UAV is demanded by competitive performance development for commercialization. Privacy issues that may arise during the drone operation, ensuring marketability issues, control system, regulations, operational standards and specifications, etc. should be addressed. Development direction of Korea UAV based in current technology, regulation, and growth potential presented by deriving from the idea of 'GIF 2016 Gang-won Hackathon.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권9호
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• pp.3177-3195
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• 2014

In many moving object detection problems of an aerial video, accurate and robust stabilization is of critical importance. In this paper, a novel accurate image alignment algorithm for aerial electronic image stabilization (EIS) is described. The feature points are first selected using optimal derivative filters based Harris detector, which can improve differentiation accuracy and obtain the precise coordinates of feature points. Then we choose the Delaunay Triangulation edges to find the matching pairs between feature points in overlapping images. The most "useful" matching points that belong to the background are used to find the global transformation parameters using the projective invariant. Finally, intentional motion of the camera is accumulated for correction by Sage-Husa adaptive filtering. Experiment results illustrate that the proposed algorithm is applied to the aerial captured video sequences with various dynamic scenes for performance demonstrations.